Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection
Open accessAbstract
The new coronavirus SARS-CoV-2, the cause of COVID-19, has become a public health emergency of global concern. Like the SARS and influenza pandemics, there have been a large number of cases coinfected with other viruses, fungi, and bacteria, some of which originate from the oral cavity. Capnocytophaga, Veillonella, and other oral opportunistic pathogens were found in the BALF of the COVID-19 patients by mNGS. Risk factors such as poor oral hygiene, cough, increased inhalation under normal or abnormal conditions, and mechanical ventilation provide a pathway for oral microorganisms to enter the lower respiratory tract and thus cause respiratory disease. Lung hypoxia, typical symptoms of COVID-19, would favor the growth of anaerobes and facultative anaerobes originating from the oral microbiota. SARS-CoV-2 may aggravate lung disease by interacting with the lung or oral microbiota via mechanisms involving changes in cytokines, T cell responses, and the effects of host conditions such as aging and the oral microbiome changes due to systemic diseases. Because the oral microbiome is closely associated with SARS-CoV-2 co-infections in the lungs, effective oral health care measures are necessary to reduce these infections, especially in severe COVID-19 patients. We hope this review will draw attention from both the scientific and clinical communities on the role of the oral microbiome in the current global pandemic.
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Written from the paper’s full text.
TL;DR
This review argues that the oral microbiome can serve as a reservoir for lung co-infections in COVID-19, with aspiration, mechanical ventilation, poor oral hygiene, and lung hypoxia as key pathways. It recommends oral hygiene measures for COVID-19 patients and outlines research approaches including better diagnostics, lung organoids, and co-infection animal models.
Key findings
- Oral opportunistic pathogens such as *Capnocytophaga*, *Veillonella*, *Leptotrichia buccalis*, *Veillonella parvula*, *Capnocytophaga gingivalis*, and *Prevotella melaninogenica* were found in COVID-19 patient BALF by mNGS; in an Eastern China multicenter study, 11 of 20 co-infections were identified in laboratory-confirmed COVID-19 cases, with common pathogens including *Acinetobacter baumannii*, *Klebsiella pneumoniae*, *Aspergillus flavus*, *Candida glabrata*, and *Candida albicans*, and 5 cases coinfected with a virus.
- Risk factors including poor oral hygiene, cough, increased inhalation, and mechanical ventilation provide a route for oral microorganisms to enter the lower respiratory tract; lung hypoxia favors growth of anaerobes and facultative anaerobes from the oral microbiota, and ventilator-associated pneumonia incidence is reported as 5% to 67%.
- SARS-CoV-2 receptor ACE2 is expressed in 0.52% of oral cells, with 95.86% expressed in tongue epithelial cells; SARS-CoV-2 was detected in initial saliva of 91.7% (11/12) of patients, and viral load in throat swabs and sputum peaked at 5–6 days after onset at 10^4 to 10^7 copies/ml.
- Oral care agents including povidone iodine (0.23–1%), cetylpyridinium chloride (0.05–0.10%), and hydrogen peroxide (0.5–1.5%) reduce oral microbiota; 0.02% chlorhexidine is ineffective against coronaviruses while 0.05% is SARS-CoV-2 sensitive, and improved oral hygiene care can reduce aspiration pneumonia risk and mortality risk by as much as 60%.
Methods
- Narrative review; no primary experiments or systematic search strategy are reported. The authors synthesize published literature on SARS-CoV-2/COVID-19, SARS, influenza, oral microbiome, co-infections, host immunity, oral care, diagnostics, lung organoids, and animal models.
- Evidence cited includes clinical studies, mNGS/metagenomic sequencing, BALF and saliva sample studies, prior reviews, and preclinical models; the paper includes a table of mouth rinse components and a schematic figure of the oral-lung axis.
- Formal inclusion criteria, search terms, and risk-of-bias assessment are not stated in the paper.
Limitations
- The authors state that little work has been done on coronaviruses and oral microbiomes, that the mechanism of interaction between oral bacteria and respiratory viruses to promote lung infection has not been studied in depth, and that more mechanism studies are needed.
- The authors note limited data available to date, that one cited saliva study had a small sample size, and that the frequency of asymptomatic or RT-PCR-negative patients with CT pneumonia-like lesions is unknown.
- Evident from the text: this is a narrative review relying partly on preprints and indirect evidence from influenza and SARS; it does not directly test whether oral care improves COVID-19 outcomes or establish causality between oral microbiota and SARS-CoV-2 lung co-infection.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
0 of 173 cited sources checked · 0 supported · 0 flagged
- Premisecitation
Microbiota that have migrated from the oral cavity, rather than those from the nasal flora, is likely to be an important source of microbiota in the lungs under normal conditions.
“Microbiota that have migrated from the oral cavity, rather than those from the nasal flora, is likely to be an important source of microbiota in the lungs under normal conditions (Bassis et al., 2015).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Bassis et al., 2015 source
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- Premisecitation
The oral microbiome could be a driving force for bacteriome shifts by regulating mucosal immunity, which directly or indirectly affects pathogenicity.
“The oral microbiome could be a driving force for bacteriome shifts by regulating mucosal immunity, which directly or indirectly affects pathogenicity (Li et al., 2019).”
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- Premisecitation
Metatranscriptome sequencing of bronchoalveolar lavage fluid from 8 COVID-19 patients revealed elevated levels of oral and upper respiratory commensal bacteria.
“Metatranscriptome sequencing for the bronchoalveolar lavage fluid (BALF) of 8 COVID-19 patients revealed the presence of elevated levels of oral and upper respiratory commensal bacteria (Shen et al., 2020).”
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- Premisecitation
Lung microbiota are more similar to those in the oropharynx than those in the air, nasopharynx or lower digestive tract.
“Multiple studies have shown that lung microbiota are more similar to those in the oropharynx, than those in the air, nasopharynx or lower digestive tract (Segal et al., 2013; Venkataraman et al., 2015).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Acellular bronchoalveolar lavage samples from half of healthy individuals are enriched with oral taxa.
“It was demonstrated that acellular bronchoalveolar lavage samples from half of healthy individuals are enriched with oral taxa (Segal et al., 2016)”
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- Interpretationreasoning
Microbial co-infection increases the risk of disease severity in humans.
“Considering the presented discussion, microbial co-infection increases the risk of disease severity in humans, while the mechanism is still unclear.”
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ICU patients have a higher proportion of bacterial infections compared with patients in mixed wards/ICU settings.
“Compared with patients in mixed wards/intensive care unit (ICU) settings, ICU patients have a higher proportion of bacterial infections (Lansbury et al., 2020).”
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- Interpretationcitation
The oral cavity is likely to be a natural reservoir for pathogens inducing those found in COVID-19 patients with co-infections.
“indicating the oral cavity is likely to be a natural reservoir for pathogens inducing those found in COVID-19 patients with co-infections.”
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The nasopharyngeal bacterial population of COVID-19 patients varied with the length of viral infection.
“Metagenomic sequencing has found that the nasopharyngeal bacterial population of COVID-19 patients varied with the length of viral infection.”
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- Premisecitation
Capnocytophaga, Veillonella, and other oral opportunists have been found in the BALF of COVID-19 patients by mNGS.
“Capnocytophaga, Veillonella, and other oral opportunists have been found in the BALF of the COVID-19 patients by mNGS (Wu et al., 2020)”
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- Interpretationreasoning
Co-infection occurs between oral microbiota and SARS-CoV-2 in the patients' lungs.
“it’s worth noting the co-infection occurs between oral microbiota and SARS-CoV-2 in the patients’ lungs.”
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Leptotrichia buccalis, Veillonella parvula, Capnocytophaga gingivalis, and Prevotella melaninogenica were overrepresented in the BALF of a COVID-19 patient.
“The sequencing revealed that Leptotrichia buccalis, Veillonella parvula, Capnocytophaga gingivalis, and Prevotella melaninogenica were overrepresented in the BALF of a COVID-19 patient (Wu et al., 2020).”
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- Premisecitation
The majority of deaths in the SARS 2003 and H1N1 influenza 2009 outbreaks were caused by bacterial complications.
“Reviewing viral epidemics over the last two decades, such as the outbreaks of Severe Acute Respiratory Syndrome (SARS) in 2003 and H1N1 influenza in 2009, we found that the majority of deaths were caused by bacterial complications (Wang et al., 2003; Zheng et al., 2003; Li et al., 2005; MacIntyre et al., 2018).”
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- cites Li et al., 2005
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In another study, nucleic acid from the BALF of 5 hospitalized patients was extracted for deep sequencing; apart from SARS-CoVs, some bacterial pathogens could also be detected, including Acinetobacter, Pseudomonas, Escherichia, Streptococcus, and Lactococcus.
“In another study (Ren et al., 2020), nucleic acid from the BALF of 5 hospitalized patients was extracted for deep sequencing. Those results showed that apart from SARS-CoVs, some bacterial pathogens could also be detected, including Acinetobacter, Pseudomonas, Escherichia, Streptococcus, and Lactococcus.”
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Most of the above mentioned microbiota can be found in the human oral cavity.
“Most of above mentioned microbiota can be found in human oral cavity (Dewhirst et al., 2010)”
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SARS-CoV-2 mainly infects alveolar epithelial type II (AE2) cells.
“SARS-CoV-2 mainly infect alveolar epithelial type II (AE2) cells (Zhao et al., 2020)”
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- Premisecitation
Elevated levels of oral commensal bacteria were found from the BALF of COVID-19 patients.
“with the elevated level of oral commensal bacteria were found from the BALF of COVID-19 patients (Shen et al., 2020)”
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Fusobacterium periodonticum significantly decreased 3 days after infection in COVID-19 patients.
“For example, Fusobacterium periodonticum significantly decreased 3 days after infection (Moore et al., 2020).”
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- Premisecitation
Chen L. et al. (2020) reported that Capnocytophaga and Veillonella were found in the BALF of COVID-19 patients by mNGS.
“Chen L. et al. (2020) reported that Capnocytophaga and Veillonella were found in the BALF of COVID-19 patients by mNGS.”
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- Premisecitation
The most common pathogens detected in co-infections were Acinetobacter baumannii, Klebsiella pneumoniae, Aspergillus flavus, Candida glabrata, and Candida albicans.
“The most common pathogens detected were Acinetobacter baumannii, Klebsiella pneumoniae, Aspergillus flavus, Candida glabrata, and Candida albicans.”
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In a multi-center study in Eastern China, 11 of 20 co-infections were identified in laboratory-confirmed COVID-19 cases and included regular respiratory viruses, fungi and bacteria.
“During a multi-center study in Eastern China (Ai et al., 2020), nasopharyngeal swab samples were collected for total RNA extraction, followed by multiplex PCR and mNGS analysis. According to the results, 11 of 20 co-infections were identified in laboratory-confirmed COVID-19 cases and included regular respiratory viruses, fungi and bacteria.”
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Specific intestinal microbes that can downregulate the expression of ACE2 correlated inversely with SARS-CoV-2 load.
“As shown in the gut microbiota of patients with COVID-19 (Zuo et al., 2020), specific intestinal microbes that can downregulate the expression of ACE2 correlated inversely with SARS-CoV-2 load.”
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- Interpretationreasoning
SARS-CoV-2 might interact with members of the oral microbiome in either the lungs or the oral cavity.
“This new evidence reveals that SARS-CoV-2 might interact with members of the oral microbiome in either the lungs or the oral cavity.”
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Co-infection was one of the major complications in confirmed SARS cases, especially in those who underwent extended hospitalization and long-term mechanical ventilation.
“Studies on confirmed SARS cases showed that co-infection was one of the major complications, especially in those who underwent extended hospitalization and long-term mechanical ventilation.”
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- cites Li et al., 2005
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Conditional pathogenic bacteria, such as Legionella pneumophila, Neisseria meningitidis, Moraxella catarrhalis, from the upper respiratory tract are also associated with influenza co-infection.
“Conditional pathogenic bacteria, such as Legionella pneumophila (Rizzo et al., 2010), Neisseria meningitidis, Moraxella catarrhalis (Dela Cruz and Wunderink, 2017), from the upper respiratory tract are also associated with influenza co-infection.”
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- cites Dela Cruz and Wunderink, 2017
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Similar to SARS, conditional pathogens were the most common infectious microbes in influenza.
“Similar to SARS, conditional pathogens were the most common infectious microbes (Muscedere et al., 2013; MacIntyre et al., 2018).”
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In an autopsied lung of a patient who died of A/H1N1/2009, Streptococcus pneumoniae and Porphyromonas gingivalis were detected, though in small quantities.
“comprehensive detection of potential pathogens was performed using next-generation DNA sequencing of total RNAs extracted from an autopsied lung of a patient died of A/H1N1/2009. Streptococcus pneumoniae and Porphyromonas gingivalis were detected, though in small quantities.”
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- Premisecitation
Periodontal pathogens such as Treponema denticola, P. gingivalis, Fusobacterium nucleatum, Actinobacillus actinomycetemcomitans and Veillonella parvula have been detected in the lungs of ICU patients.
“Periodontal pathogens such as Treponema denticola, P. gingivalis, Fusobacterium nucleatum, Actinobacillus actinomycetemcomitans and Veillonella parvula, have been detected in the lungs of ICU patients (Kumar, 2017; de Carvalho Baptista et al., 2018).”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationreasoning
The lung hypoxia created in severe COVID-19 patients is a suitable environment for the growth of anaerobic bacteria including those from the oral microbiota.
“The lung hypoxia created in these patients is a suitable environment for the growth of anaerobic bacteria including those from the oral microbiota.”
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ICU mechanical ventilation patients find it difficult to clear oral secretions via swallowing or coughing.
“Another risk factor is that ICU mechanical ventilation patients find it difficult to clear oral secretions via swallowing or coughing (Paju and Scannapieco, 2007).”
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- Premisecitation
A half-year prospective cohort study showed that nasopharyngeal microecological imbalance was caused by transcolonization of oral microbiota, leading to upper respiratory tract infections.
“A half-year prospective cohort study (Man et al., 2019) showed that nasopharyngeal microecological imbalance was caused by transcolonization of oral microbiota, leading to upper respiratory tract infections.”
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- Premisecitation
Several members of the oral microbiota (e.g., Streptococcus oralis, Prevotella salivae, and Mycoplasma salivarium) have previously been detected by 16S rRNA gene analysis in the BALF samples of VAP patients.
“Several members of the oral microbiota (e.g., Streptococcus oralis, Prevotella salivae, and Mycoplasma salivarium) have previously been detected by 16S rRNA gene analysis in the BALF samples of VAP patients (Bahrani-Mougeot et al., 2007).”
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The main pathophysiologic mechanism for VAP development is oropharyngeal colonization.
“Many studies have reported that the main pathophysiologic mechanism for VAP development is oropharyngeal colonization (Doré et al., 1996; Bahrani-Mougeot et al., 2007).”
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Oxygen saturation, as measured in fingers, of less than 93% or as low as 50% have been observed in severe COVID-19 patients.
“Oxygen saturation, as measured in their fingers, of less than 93% or as low as 50% have been observed (National Health Commission of the People’s Republic of China, 2020).”
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Respiratory distress and hypoxemia are the main clinical symptoms in severe COVID-19 patients due to serous exudation and hyaline membrane formation of their alveolar spaces.
“Respiratory distress and hypoxemia are the main clinical symptoms in severe COVID-19 patients due to serous exudation and hyaline membrane formation of their alveolar spaces.”
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- Premisecitation
In the process of orotracheal intubation, bacteria can rapidly migrate from the oral cavity and upper respiratory tract into the lungs.
“In the process of orotracheal intubation, bacteria can rapidly migrate from the oral cavity and upper respiratory tract into the lungs (de Carvalho Baptista et al., 2018).”
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Oral microorganisms reach the lower respiratory tract primarily through microaspiration and transcolonization in severe patients located in hospitals and sanatoriums, or elderly people with dysphagia.
“Oral microorganisms reach the lower respiratory tract primarily through these mechanisms (Soussan et al., 2019) in severe patients located in hospitals and sanatoriums, or elderly people with dysphagia.”
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- Interpretationcitation
An increase in the number of NA-producing oral bacteria could elevate the risk of and exacerbate the influenza infection.
“These findings suggest that an increase in the number of NA-producing oral bacteria could elevate the risk of and exacerbate the influenza infection.”
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Viruses can drive changes in both local microbial composition and quantity in the lungs.
“Previous research has shown that viruses can drive changes in both local microbial composition and quantity in the lungs.”
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- Premisecitation
During co-infection of P. gingivalis and influenza virus, significant apoptosis and necrosis can be observed in lung epithelial cells within a short timeframe.
“An in vitro study suggested that during co-infection of P. gingivalis and influenza virus, significant apoptosis and necrosis can be observed in lung epithelial cells within a short timeframe (Connolly et al., 2017)”
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A clinical study showed a large number of Streptococcus, Actinomyces and Rothia colonizing the oropharynx of flu patients suffering from bacterial complications.
“A clinical study (Lu et al., 2017) showed a large number of Streptococcus, Actinomyces and Rothia colonizing the oropharynx of flu patients suffering from bacterial complications.”
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SARS-CoV-2 show high affinity with ACE2, which are higher in tongue, than in buccal or gingival, tissues.
“SARS-CoV-2 show high affinity with ACE2, which are higher in tongue, than in buccal or gingival, tissues (Xu H. et al., 2020).”
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The Bcl2/Bax/Caspase3 signaling pathway was activated during co-infection of P. gingivalis and influenza virus.
“as the Bcl2/Bax/Caspase3 signaling pathway was activated (Chen et al., 2018).”
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P. gingivalis cannot be completely eliminated by host cells.
“As an opportunistic pathogen, P. gingivalis cannot be completely eliminated by host cells.”
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In a study on gut microbiota of swine infected by porcine epidemic virus, Fusobacteria, a typically dominant taxa in the oral cavity, was found to predominate in the infected group (approximately 32%, 0.1% in the normal group).
“Interestingly, Fusobacteria, a typically dominant taxa in the oral cavity, was found to predominate in the infected group (approximately 32%, 0.1% in the normal group) (Koh et al., 2015).”
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Over-expressed Prevotella proteins can promote viral infection.
“It was found that over-expressed Prevotella proteins can promote viral infection.”
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These effects were not observed with culture supernatants of Streptococcus sanguinis which cannot produce NA.
“These effects were not observed with culture supernatants of Streptococcus sanguinis which cannot produce NA (Kamio et al., 2015).”
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Most moribund COVID-19 patients are suffering from a cytokine storm.
“Most moribund COVID-19 patients are suffering from a cytokine storm (Zumla et al., 2020)”
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Prevotella from microaspiration can participate in the immune homeostasis of the respiratory tract.
“Prevotella from microaspiration, can also participate in the immune homeostasis of the respiratory tract (Huffnagle et al., 2017).”
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Lung tissue damage is associated with systemic inflammatory response, manifested by elevated levels of TNF, IL-6, IL-17, and C-reactive protein.
“Lung tissue damage is associated with systemic inflammatory response, manifested by elevated levels of TNF, IL-6, IL-17, and C-reactive protein, and these pathological lesions are significantly dependent on the activity of P. gingivalis.”
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A large number of anaerobic bacteria originating from the oral cavity are present in the lungs of pulmonary tuberculosis patients.
“Previous research has shown that a large number of anaerobic bacteria originating from the oral cavity are present in the lungs of pulmonary tuberculosis patients, and bacterial metabolites (short-chain fatty acids) were associated with both the oral anaerobic bacterial load (e.g., Prevotella) and T-regs response (Segal et al., 2017).”
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- Interpretationcitation
Transmission of oral microbial DNA from gingival tissue to pulmonary vasculature might be a form of distant dissemination causing lung diseases.
“Besides colonizing the lungs themselves, DNA from oral microbes can be transmited from the gingival tissue to the pulmonary vasculature (Chukkapalli et al., 2018), this might be a form of distant dissemination causing lung diseases.”
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In vitro, Prevotella can stimulate the production of IL-8, IL-6, and CCL20 in lung epithelial cells.
“In vitro experiments have shown that Prevotella can stimulate the production of IL-8, IL-6, and CCL20 in lung epithelial cells, which promotes mucosal Th17 immune response and neutrophil recruitment (Larsen, 2017).”
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After infection with P. gingivalis, pathological manifestations such as intrapulmonary hemorrhage, necrosis, and neutrophil infiltration occur.
“Pathological manifestations such as intrapulmonary hemorrhage, necrosis, and neutrophil infiltration occur after infection with P. gingivalis.”
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Cytokine storm is manifested by increased plasma concentrations of IL-2, IL-7, IL-10, G-CSF, CXCL10, CCL2, CCL3, and TNF-α.
“which is manifested by the increased plasma concentrations of IL-2, IL-7, IL-10, G-CSF, CXCL10, CCL2, CCL3, and TNF-α (Hui and Zumla, 2019; Huang et al., 2020; Li G. et al., 2020).”
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DNA from oral microbes can be transmitted from the gingival tissue to the pulmonary vasculature.
“Besides colonizing the lungs themselves, DNA from oral microbes can be transmited from the gingival tissue to the pulmonary vasculature (Chukkapalli et al., 2018), this might be a form of distant dissemination causing lung diseases.”
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- Premisecitation
Prevotella stimulation of lung epithelial cells promotes mucosal Th17 immune response and neutrophil recruitment.
“In vitro experiments have shown that Prevotella can stimulate the production of IL-8, IL-6, and CCL20 in lung epithelial cells, which promotes mucosal Th17 immune response and neutrophil recruitment (Larsen, 2017).”
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- Premisereasoning
These pathological lesions are significantly dependent on the activity of P. gingivalis.
“Lung tissue damage is associated with systemic inflammatory response, manifested by elevated levels of TNF, IL-6, IL-17, and C-reactive protein, and these pathological lesions are significantly dependent on the activity of P. gingivalis.”
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Lung inflammation is associated with enrichment of the lung microbiome with Prevotella.
“Lung inflammation has been associated with enrichment of the lung microbiome with Prevotella, this organisms primarily activates toll-like receptor 2 and enhance the expression of inflammatory cytokines, including IL-23 and IL-1 (Segal et al., 2013, 2016).”
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- Premisecitation
The oral microbiota of cancer patients is significantly altered.
“The oral microbiota of cancer patients has also been found to be significantly altered.”
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The diversity of oral microbiota in patients with diabetes decreases significantly.
“Moreover, it has been reported that the diversity of oral microbiota in patients with diabetes decreases significantly, and is associated with an increase in the pathogenic content of the hyperglycemic microbiota (Saeb et al., 2019), such as Capnocytophaga, Porphyromonas, and Pseudomonas (Graves et al., 2019).”
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As humans age, the niche that Streptococcus pneumoniae inhabit might change, resulting in a weakening of microbiome resiliency.
“As human beings age, the niche that Streptococcus pneumonia (S. pneumoniae) inhabit might change, resulting in a weakening of microbiome resiliency. This is related to the result of the degeneration of the immune system or a low-grade chronic inflammation (Krone et al., 2014).”
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In severe COVID-19 patients, CD4+ T and CD8+ T levels are low.
“In severe patients, CD4+ T and CD8+ T levels presented as low, indicating that T cell subsets can be used as one of the bases to predict the transition from mild to severe (Wan et al., 2020).”
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In a study of 1,099 patients with laboratory-confirmed COVID-19, the peripheral blood lymphocyte count in severe patients was 95.5% (147/154), significantly higher than that of mild cases.
“A study including 1,099 patients with laboratory-confirmed COVID-19 found that the peripheral blood lymphocyte count in severe patients was 95.5% (147/154), which was significantly higher than that of mild cases (Guan et al., 2020b).”
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- Interpretationcitation
T cell subsets can be used as one of the bases to predict the transition from mild to severe COVID-19.
“In severe patients, CD4+ T and CD8+ T levels presented as low, indicating that T cell subsets can be used as one of the bases to predict the transition from mild to severe (Wan et al., 2020).”
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- Interpretationreasoning
Hyperactivation of T cells, manifesting as the increase of Th17 and high cytotoxicity of CD8+ T cells, led to severe immune injury of COVID-19 patients to some extent.
“These results imply that hyperactivation of T cells, manifesting as the increase of Th17 and high cytotoxicity of CD8+ T cells, led to the severe immune injury of the patient to some extent.”
Quote in the paperSubstantial claim - Premisecitation
Among adults, decreased microbial diversity and the presence in the oral cavity of various groups of anaerobic commensals are negatively related to the overgrowth of potential lung infection pathogens.
“The phenomenon of decreased microbial diversity, in conjunction with the presence in the oral cavity of various groups of anaerobic commensals negatively related to the overgrowth of potential lung infection pathogens, was also observed among adults (de Steenhuijsen Piters et al., 2016).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites de Steenhuijsen Piters et al., 2016 source
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- Premisecitation
The change in the S. pneumoniae niche and weakening of microbiome resiliency is related to degeneration of the immune system or low-grade chronic inflammation.
“As human beings age, the niche that Streptococcus pneumonia (S. pneumoniae) inhabit might change, resulting in a weakening of microbiome resiliency. This is related to the result of the degeneration of the immune system or a low-grade chronic inflammation (Krone et al., 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Krone et al., 2014 source
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- Premisecitation
Oral streptococci can be detected from the lungs of COPD patients.
“Mounting evidence suggests that oral streptococci can be detected from the lungs of COPD patients (Pragman et al., 2018) with increased levels of P. gingivalis detected in the subgingival plaque (Tan et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Pragman et al., 2018 source
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- Interpretationreasoning
Anaerobic commensals play an important role in the level of resilience against pathogen overgrowth and disease.
“This not only suggest that these anaerobic commensals play an important role in the level of resilience against pathogen overgrowth and disease, but also emphasizes that the chronic inflammatory process contributes to the changes in microbiota composition, potentially making it harder to intervene.”
Quote in the paperSubstantial claim - Interpretationreasoning
Immune disorders and long-term chronic inflammatory stimulation are likely to be key drivers to poor prognosis in COVID-19.
“Therefore, immune disorders and long-term chronic inflammatory stimulation are likely to be key drivers to poor prognosis, however more mechanism studies are needed to confirm this.”
Quote in the paperSubstantial claim - Premisecitation
Except for Prevotella, several common oral genera (Haemophilus, Neisseria, and Streptococcus) decreased in individuals with colitis-associated cancer.
“Veillonella, Streptococcus, Rothia and Aggregatibacter were dramatically increased in non-small cell lung cancer patients (Zhang W. et al., 2019) and, except for Prevotella, several common oral genera (i.e., Haemophilus, Neisseria and Streptococcus) decreased in individuals with colitis-associated cancer (Flemer et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Flemer et al., 2018 source
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- Premisecitation
Veillonella, Streptococcus, Rothia, and Aggregatibacter were dramatically increased in non-small cell lung cancer patients.
“Veillonella, Streptococcus, Rothia and Aggregatibacter were dramatically increased in non-small cell lung cancer patients (Zhang W. et al., 2019) and, except for Prevotella, several common oral genera (i.e., Haemophilus, Neisseria and Streptococcus) decreased in individuals with colitis-associated cancer (Flemer et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Zhang W. et al., 2019
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- Premisecitation
Prognosis of SARS-CoV-2 infection is strongly associated with the presence and number of comorbidities.
“About 1/4∼1/2 patients infected by SARS-CoV-2 had chronic comorbidities, and the prognosis was strongly associated with the presence and number of comorbidities (Chen N. et al., 2020; Guan et al., 2020a).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Chen N. et al., 2020
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- cites Guan et al., 2020a
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- Premisecitation
Bacterial metabolites (short-chain fatty acids) are associated with both oral anaerobic bacterial load (e.g., Prevotella) and T-regs response.
“Previous research has shown that a large number of anaerobic bacteria originating from the oral cavity are present in the lungs of pulmonary tuberculosis patients, and bacterial metabolites (short-chain fatty acids) were associated with both the oral anaerobic bacterial load (e.g., Prevotella) and T-regs response (Segal et al., 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Segal et al., 2017 source
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- Interpretationcitation
Cellular immunity is closely related to the state of illness.
“It confirmed that the cellular immunity is closely related to the state of illness.”
Quote in the paperSubstantial claim - Premisecitation
Increased levels of P. gingivalis are detected in the subgingival plaque.
“Mounting evidence suggests that oral streptococci can be detected from the lungs of COPD patients (Pragman et al., 2018) with increased levels of P. gingivalis detected in the subgingival plaque (Tan et al., 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tan et al., 2019 source
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- Premisecitation
SARS-CoV-2 is more likely to affect middle-aged and elderly people, especially those with comorbidities, as a result of weaker immune functions.
“SARS-CoV-2 is more likely to affect middle-aged and elderly people, especially those with comorbidities, as a result of the weaker immune functions of these patients (Chen N. et al., 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Chen N. et al., 2020
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- Premisecitation
In a retrospective study of 1099 COVID-19 cases, malignancy and COPD appeared to be the main risk factors leading to poorer clinical outcomes, followed by diabetes and hypertension.
“Malignancy and chronic obstructive pulmonary disease (COPD) appeared to be the main risk factors leading to poorer clinical outcomes, followed by diabetes and hypertension, according to a retrospective study of 1099 COVID-19 cases (Guan et al., 2020a).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Guan et al., 2020a
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- Premisecitation
The decrease in oral microbiota diversity in diabetes is associated with an increase in the pathogenic content of the hyperglycemic microbiota, such as Capnocytophaga, Porphyromonas, and Pseudomonas.
“Moreover, it has been reported that the diversity of oral microbiota in patients with diabetes decreases significantly, and is associated with an increase in the pathogenic content of the hyperglycemic microbiota (Saeb et al., 2019), such as Capnocytophaga, Porphyromonas, and Pseudomonas (Graves et al., 2019).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationnone given
Poor oral hygiene can lead to a large accumulation of pathogens in the oral cavity.
“As discussed above, poor oral hygiene can lead to a large accumulation of pathogens in the oral cavity and immune disorders caused by viral infection can promote additional bacterial/fungal infections, hence increase the risk of secondary pneumonia.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The prevalence of fatal VAP may increase because oral microbiota is prone to entering the lower respiratory tract due to increased aspiration and mechanical ventilation.
“Given the fact that oral microbiota is prone to entering the lower respiratory tract due to increased aspiration and the presence of mechanical ventilation, the prevalence of fatal VAP may increase.”
Quote in the paperSubstantial claim- Rests on an assumption: Oral microbiota is prone to entering the lower respiratory tract due to increased aspiration and the presence of mechanical ventilation.
- Premisecitation
Improving oral hygiene care by either mechanical or chemical control of dental plaque biofilm formation can reduce the number of potential respiratory pathogens.
“Several studies have reported that improving oral hygiene care by either mechanical or chemical control of dental plaque biofilm formation can reduce the number of potential respiratory pathogens and consequently the risk and mortality risk of aspiration pneumonia by as much as 60% (Dennesen et al., 2003; Tuon et al., 2017).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
SARS-CoV, MERS-CoV, and influenza virus A (H1N1) can be efficiently inactivated by these compounds within 1 min.
“Studies have also shown that SARS-CoV, MERS-CoV, and influenza virus A (H1N1) can be efficiently inactivated by these compounds within 1 min (Kariwa et al., 2006; Eggers et al., 2015, 2018; Kampf et al., 2020; Li and Meng, 2020).”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
0.02% chlorhexidine is ineffective against coronaviruses as a surface disinfectant.
“0.02% of CHX is ineffective against coronaviruses as a surface disinfectant, it works as good as 7.5% povidone-iodine or 70% ethyl alcohol when the concentration was increased to 0.05% (Chin et al., 2020) (Table 1).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Chin et al., 2020 source
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- Premisecitation
0.05% chlorhexidine works as well as 7.5% povidone-iodine or 70% ethyl alcohol against coronaviruses.
“0.02% of CHX is ineffective against coronaviruses as a surface disinfectant, it works as good as 7.5% povidone-iodine or 70% ethyl alcohol when the concentration was increased to 0.05% (Chin et al., 2020) (Table 1).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Chin et al., 2020 source
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- Premisecitation
0.05-0.1% CPC showed potent, rapid activity against MERS-CoV and influenza viruses.
“In addition, 0.05∼0.1% CPC showed potent, rapid activity against MERS-CoV (Shen et al., 2019) and influenza viruses (Popkin et al., 2017), however it’s activity against SARS-CoV-2 is currently unknown.”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Improving oral hygiene care can reduce the risk and mortality risk of aspiration pneumonia by as much as 60%.
“Several studies have reported that improving oral hygiene care by either mechanical or chemical control of dental plaque biofilm formation can reduce the number of potential respiratory pathogens and consequently the risk and mortality risk of aspiration pneumonia by as much as 60% (Dennesen et al., 2003; Tuon et al., 2017).”
Quote in the paperSubstantial claim0 of 2 sources checked
- Classified as probably not a substantial claim. 35
- May combine two claims. 51
Classified as probably not a substantial claim.
PremisecitationAn oral-lung aspiration axis is a key factor leading to many infectious diseases.
“It is well-known that an oral-lung aspiration axis is a key factor leading to many infectious diseases (Mammen et al., 2020).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Mammen et al., 2020 source
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSARS-CoV-2 is a single-stranded RNA β-coronavirus and a member of the subgenus Sarbecovirus (beta-CoV lineage B).
“SARS-CoV-2 is a single-stranded RNA β-coronavirus and a member of the subgenus Sarbecovirus (beta-CoV lineage B).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSARS-CoV-2 is the cause of COVID-19.
“Corona Virus Disease 2019 (COVID-19) caused by a novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), have spread worldwide (Zhu N. et al., 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Zhu N. et al., 2020
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PremisecitationThe oral cavity houses the second largest microbiota in the human body and can include bacteria, fungi, viruses, and archaea.
“The oral cavity houses the second largest microbiota in the human body and can include bacteria, fungi, viruses, and archaea (Dewhirst et al., 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Dewhirst et al., 2010 source
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PremisecitationThe dominant genera of healthy lungs include Streptococcus, Fusobacterium, Pseudomonas, Veillonella, Prevotella, and Capnocytophaga, which also colonize the oral cavity.
“The dominant genera of healthy lungs include Streptococcus, Fusobacterium, Pseudomonas, Veillonella, Prevotella, and Capnocytophaga (Beck et al., 2015; Dickson and Huffnagle, 2015; Wypych et al., 2019; Shen et al., 2020), colonizing the oral cavity as well.”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe main bacterial genera by abundance in the normal oral cavity include Neisseria, Corynebacterium, Leptotrichia, Streptococcus, Prevotella, Veillonella, Fusobacterium, and Capnocytophaga.
“The main bacterial genera, by abundance, present within the normal oral cavity include Neisseria, Corynebacterium, Leptotrichia, Streptococcus, Prevotella, Veillonella, Fusobacterium, and Capnocytophaga (Li et al., 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Li et al., 2014
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PremisecitationMany human bacterial pathogens can colonize the respiratory tract of healthy individuals asymptomatically.
“Additionally, many human bacterial pathogens can also colonize the respiratory tract of healthy individuals asymptomatically (Arora et al., 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Arora et al., 2015 source
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PremisecitationThe oral cavity is an ecological reservoir for potential pathogens and is involved in local and systemic diseases.
“it is supposed that the oral cavity, an ecological reservoir for potential pathogens, is involved in local and systemic diseases (Warinner et al., 2014).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Warinner et al., 2014 source
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PremisecitationThe frequency of influenza and bacterial co-infection ranged from 2% to 65%.
“The frequency of influenza and bacterial co-infection ranged from 2% to 65%.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Klein et al., 2016 source
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Premisecitation1450/2010 (72%) of COVID-19 patients received antimicrobial therapy.
“It’s reported that 1450/2010 (72%) of COVID-19 patients received antimicrobial therapy (Rawson et al., 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Rawson et al., 2020 source
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PremisecitationViral load is higher in the nose than in the throat, and the viral nucleic acid change model in SARS-CoV-2 patients is similar to influenza but different from SARS-CoV.
“Other research has indicated a higher viral load in the nose than in the throat, viral nucleic acid change model in the patients infected with SARS-CoV-2 were similar to those in the patients with influenza viruses but different from that of SARS-CoV (Wang et al., 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wang et al., 2020 source
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PremisecitationDuring the 2009 influenza pandemic, almost one in four patients presented bacterial complications.
“During the 2009 influenza pandemic, almost one in four patients presented bacterial complications (MacIntyre et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites MacIntyre et al., 2018 source
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PremisecitationStreptococcus pneumoniae and Staphylococcus aureus accounted for 35% and 28% of influenza bacterial infections.
“Among them, Streptococcus pneumoniae and Staphylococcus aureus, which accounted for 35% and 28% of infections (Klein et al., 2016).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Klein et al., 2016 source
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PremisecitationSARS-CoV-2 shares 79.5% sequence identity with SARS-CoV.
“Genome sequencing demonstrated that SARS-CoV-2 shares 79.5% sequence identity with SARS-CoV (Zhou et al., 2020)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Zhou et al., 2020 source
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PremisecitationSARS-CoV-2 is the seventh member of the Coronaviridae known to infect humans, two of which, SARS-CoV and MERS-CoV, caused global health threats previously.
“It is the seventh member of the Coronaviridae known to infect humans so far, two of which, SARS-CoV and MERS-CoV, caused global health threats previously (Guarner, 2020; Letko et al., 2020).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBacterial co-infection occurred in 7% of hospitalized COVID-19 patients.
“In addition, bacterial co-infection occurred in 7% of hospitalized COVID-19 patients.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lansbury et al., 2020 source
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PremisecitationRisk factors such as increased inhalation, poor oral hygiene, and viral infection are related to the occurrence of respiratory infection.
“These studies suggested that keen vigilance should be maintained against infections derived from the oral microbiome during infection by respiratory viruses and have uncovered risk factors such as increased inhalation, poor oral hygiene, and viral infection are related to the occurrence of respiratory infection (Pace and McCullough, 2010; Krone et al., 2014; Iki et al., 2016).”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Premisecitation95% of the mortality in the 1918 Spanish flu was due to bacterial infection.
“The “Spanish flu” of 1918 was the most severe influenza pandemic on record, 95% of the mortality due to bacterial infection (Morens et al., 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Morens et al., 2008 source
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PremisecitationBacterial complications increased morbidity and mortality of influenza infection.
“Epidemiological data indicated that bacterial complications further increased morbidity and mortality of influenza infection.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe mechanisms by which the oral microbiome can influence respiratory disease is complicated and multifactorial, simultaneously affected by environmental, host, and microbial factors.
“The mechanisms by which the oral microbiome can influence respiratory disease is complicated and multifactorial, simultaneously affected by environmental, host, and microbial factors (Xu et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Xu et al., 2018
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PremisecitationThe majority of COVID-19 patients present a mild course with common symptoms including low fever, fatigue, and dry cough, while severe cases present dyspnea within a week and rapid deterioration into ARDS, multiple organ failure.
“The majority of COVID-19 patients present a mild course, common symptoms including low fever, fatigue, and dry cough, while severe cases always present dyspnea within a week from the onset of symptoms, with rapid deterioration into serious complications, such as acute respiratory distress syndrome (ARDS), multiple organ failure, etc (Sharma et al., 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sharma et al., 2020 source
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PremisecitationAlthough bacteria are typically secondary invaders during influenza infections, they express virulence factors that promote viral pathogenesis, resulting in increased viral load and declined clearance rates.
“Although bacteria are typically secondary invaders during influenza infections, they express virulence factors that promote viral pathogenesis. As a result, viral load increases and clearance rates decline (McCullers, 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites McCullers, 2014 source
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Premisecitation5 co-infection cases were found coinfected with a virus, including rhinovirus/enterovirus, H3N2, influenza B and respiratory syncytial virus, suggesting that virus co-infection were not uncommon in winter pneumonia patients.
“In addition, 5 co-infection cases were found coinfected with a virus, including rhinovirus/enterovirus, H3N2, influenza B and respiratory syncytial virus, suggesting that virus co-infection were not uncommon in winter pneumonia patients.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ai et al., 2020
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PremisecitationThe receptor for SARS-CoV-2, human angiotensin-converting enzyme 2 (ACE2), is expressed in 0.52% of oral cells, of which 95.86% is expressed in tongue epithelial cells.
“the receptor for SARS-CoV-2, human angiotensin-converting enzyme 2 (ACE2), is also expressed in 0.52% of oral cells, of which 95.86% is expressed in tongue epithelial cells (Xu H. et al., 2020).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Xu H. et al., 2020
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PremisecitationIn some patients with no symptoms or negative RT-PCR results, chest CT scans revealed viral pneumonia-like lesions in the lungs, such as bilateral patchy shadows or ground glass opacity, and even lung consolidation, but the frequency is unknown.
“It is also notable that in some patients with no symptoms or negative RT-PCR results that chest computed tomographic (CT) scans revealed viral pneumonia-like lesions in the lungs, such as bilateral patchy shadows or ground glass opacity, and even lung consolidation, but the frequency is unknown (Wang et al., 2020; Yan et al., 2020).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Wang et al., 2020 source
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- cites Yan et al., 2020
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PremisecitationBacteria are known to participate in interactions between host cells and viruses.
“In fact, bacteria are known to participate in interactions between host cells and viruses.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites McCullers, 2014 source
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PremisecitationA recent study revealed coinfection with Moraxella catarrhalis in laboratory-proven cases of SARS-CoV-2, and quantified increased bacterial burden in some patients over others.
“A recent study revealed coinfection with Moraxella catarrhalis in laboratory-proven cases of SARS-CoV-2, and quantified increased bacterial burden in some patients over others (Peddu et al., 2020).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Peddu et al., 2020 source
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PremisecitationThe tongue dorsum is one habitat niche of oral microbes, where the dominant microflora are Prevotella and Veillonella, which are associated with an increased risk of death due to pneumonia in older, frail patients.
“The tongue dorsum is one habitat niche of oral microbes, there the dominant microflora are Prevotella and Veillonella, which are associated with an increased risk of death due to pneumonia in older, frail patients (Asakawa et al., 2018; Kageyama et al., 2018).”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationP. gingivalis is the most important periodontitis pathogen, while Streptococcus sp., in general, constitute the main component of oral flora.
“P. gingivalis is the most important periodontitis pathogen, while Streptococcus sp., in general, constitute the main component of oral flora (Kuroda et al., 2010).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kuroda et al., 2010 source
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PremisecitationDental plaques contain pathogens which could aggravate the state of pneumonia, including P. gingivalis, which can synergistically enhance pathogenicity.
“Dental plaques contain pathogens which could aggravate the state of pneumonia (Olsen, 2015), including P. gingivalis, which can synergistically enhance pathogenicity (Miller et al., 2018).”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenLung hypoxia would stimulate the growth of anaerobes and facultative anaerobes derived from oral microbiota.
“Additionally, lung hypoxia would stimulate the growth of anaerobes and facultative anaerobes derived from oral microbiota.”
Quote in the paperNot a substantial claim- Rests on an assumption: Lung hypoxia favors the growth of anaerobes and facultative anaerobes originating from the oral microbiota.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationInfluenza is the most common type of acute respiratory infection.
“Influenza is the most common type of acute respiratory infection (Hanada et al., 2018)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Hanada et al., 2018 source
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InterpretationreasoningTogether, these factors result in respiratory dysbiosis, and thus cause respiratory disease.
“Together, these factors result in respiratory dysbiosis, and thus cause respiratory disease.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationSome conditional pathogens such as Enterococcus faecalis, Klebsiella pneumonia, Acinetobacter baumannii, Stenotrophomonas maltophilia, and Candida albicans could come from hospital environment, nosocomial infection, but the majority inhabit the oral cavity.
“Some conditional pathogens such as Enterococcus faecalis, Klebsiella pneumonia, Acinetobacter baumannii, Stenotrophomonas maltophilia, and Candida albicans could come from hospital environment, nosocomial infection, but the majority inhabit the oral cavity (Zheng et al., 2003; Li et al., 2005).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Zheng et al., 2003
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- cites Li et al., 2005
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Interpretationnone givenRisk factors such as poor oral hygiene, cough, increased inhalation under normal or abnormal condition, and mechanical ventilation are the main routes by which oral microbiota enter the airways.
“Risk factors such as poor oral hygiene, cough, increased inhalation under normal or abnormal condition, and mechanical ventilation are the main routes by oral microbiota enter the airways.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationLong-term bed rest people cannot cough as easily or as well, which allows pooled mucus to stagnate and reduces the clearance of potentially pathogenic material and irritants.
“Long-term bed rest people cannot cough as easily or as well, which allows pooled mucus to stagnate and reduces the clearance of potentially pathogenic material and irritants (Knight et al., 2009).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Knight et al., 2009
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PremisecitationBacterial complications were an important complication of the 2009 influenza pandemic.
“bacterial complications were an important complication of the 2009 influenza pandemic (MacIntyre et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites MacIntyre et al., 2018 source
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PremisecitationLong-term bed rest, mechanical ventilation, and glucocorticoid therapy are all risk factors for opportunistic infection.
“Long-term bed rest, mechanical ventilation, and glucocorticoid therapy are all risk factors for opportunistic infection.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Knight et al., 2009
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Premisenone givenSome pathogens, such as anaerobes, cannot be easily cultured, making accurate diagnosis and treatment of infections challenging.
“Some pathogens, such as anaerobes, cannot be easily cultured, making accurate diagnosis and treatment of infections challenging.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationVentilator-associated pneumonia (VAP) frequently occurs in patients requiring mechanical ventilation, leading to high mortality, with an incidence from 5% to 67% depending on the population studied and the diagnostic criteria used.
“Ventilator-associated pneumonia (VAP) frequently occurs in patients requiring mechanical ventilation, leading to high mortality, with an incidence from 5% to 67% depending on the population studied and the diagnostic criteria used (Barbier et al., 2013; Torres et al., 2017).”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationAspiration pneumonia is closely related to oral microorganisms due to the aspiration of oropharyngeal secretions.
“It is speculated that aspiration pneumonia is also closely related to oral microorganisms due to the aspiration of oropharyngeal secretions (Hajishengallis, 2015).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hajishengallis, 2015 source
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PremisecitationSputum appeared to be a good clinical sample with a high positive rate (74.4∼88.9%), followed by nasal swabs (53.6∼73.3%) and throat swabs (50∼61.3%).
“Sputum appeared to be a good clinical sample with a high positive rate (74.4∼88.9%), followed by nasal swabs (53.6∼73.3%) and throat swabs (50∼ 61.3%).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yang et al., 2020 source
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PremisecitationIn a study on 213 confirmed COVID-19 patients, viral RNA could be detected in all BALF samples of severe cases, but not from mild cases.
“According to a study on 213 confirmed COVID-19 patients, viral RNA could be detected in all BALF samples of severe cases, but not from mild cases.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yang et al., 2020 source
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PremisecitationSARS-CoV-2 can be detected from different body fluids and the rate of positive test results vary depending on the sample size, days after illness onset, and severity of illness.
“SARS-CoV-2 can be detected from different body fluids and the rate of positive test results vary depending on the sample size, days after illness onset, and severity of illness.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yang et al., 2020 source
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Interpretationnone givenThe frequency of microaspiration will rise in chronic inflammatory respiratory diseases.
“The frequency of microaspiration will rise in chronic inflammatory respiratory diseases, therefore it is necessary to pay attention to co-infections caused by oral microorganisms.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationPoor oral hygiene habits can lead to the accumulation of many periodontal microorganisms in the oral cavity, and oral dysbiosis can accelerate lung function decline, which in turn can increase the incidence of pneumonia.
“Poor oral hygiene habits can lead to the accumulation of many periodontal microorganisms in the oral cavity, and oral dysbiosis can accelerate lung function decline (Takeuchi et al., 2018; Winning et al., 2019), which in turn can increase the incidence of pneumonia (Kumar, 2017).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationSaliva appeared to be a good clinical specimen in the early stage of the disease, with SARS-CoV-2 detected in the initial saliva of 91.7% (11/12) of patients, however the sample size was small in that study.
“What’s more, saliva appeared to be a good clinical specimen in the early stage of the disease, with SARS-CoV-2 detected in the initial saliva of 91.7% (11/12) of patients (To et al., 2020b), however the sample size was small in that study.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites To et al., 2020b
Not checked in the free run.
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PremisecitationWhen the onset time was greater than 14 days, the positive rate of BALF, sputum, and nasal swabs showed similar results, and were still much higher than throat swabs.
“When the onset time was greater than 14 days, the positive rate of BALF, sputum, and nasal swabs showed similar results, and were still much higher than throat swabs (Yang et al., 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yang et al., 2020 source
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PremisecitationLeung et al. (2013) found that the number of Pseudomonas and Bacillus in the oropharynx increased significantly after influenza virus infection, whereas the number of Prevotella, Veillonella, and Neisseria decreased significantly.
“Leung et al. (2013) conducted an unbiased high-throughput sequencing method to analyze the oropharyngeal microorganisms of pneumonia patients with or without influenza virus infection, and found that the number of Pseudomonas and Bacillus in the oropharynx increased significantly after influenza virus infection, whereas the number of Prevotella, Veillonella, and Neisseria decreased significantly.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Leung et al., 2013 source
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Classified as probably not a substantial claim.
Premisenone givenInfluenza viruses rely on neuraminidase (NA) activity to release progeny viruses from infected cells and spread the infection.
“Influenza viruses rely on neuraminidase (NA) activity to release progeny viruses from infected cells and spread the infection.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationCytotoxic products of P. gingivalis (e.g., lipopolysaccharide) can induce host cells release of inflammatory cytokines such as TNF-α, IL-1β, and IL-6, which in turn increase NO production leading to lung epithelial cell damage.
“Cytotoxic products of P. gingivalis (e.g., lipopolysaccharide) can induce host cells release of inflammatory cytokines such as TNF-α, IL-1β, and IL-6 (Ke et al., 2016), which in turn increase NO production leading to lung epithelial cell damage (Alayan et al., 2006; Wu et al., 2016; Ahamed et al., 2017).”
Quote in the paperSubstantial claim0 of 3 sources checked- cites Ke et al., 2016
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- cites Alayan et al., 2006 source
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- cites Wu et al., 2016
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Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe viral load of SARS-CoV-2 in posterior oropharyngeal saliva samples was highest during the first week of symptom onset.
“Another study (To et al., 2020a) reported that the viral load of SARS-CoV-2 in posterior oropharyngeal saliva samples was highest during the first week of symptom onset.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites To et al., 2020a
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PremisecitationPrevotella proteins, rather than viral proteins, are involved in increasing clinical severity of COVID-2019, i.e., Prevotella plays role in COVID-2019 outbreak.
“As per the results, Prevotella proteins, rather than viral proteins, are involved in increasing clinical severity of COVID-2019, i.e., Prevotella plays role in COVID- 2019 outbreak and attention should be paid to understanding disease mechanisms and improving treatment outcomes (Khan and Khan, 2020).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Khan and Khan, 2020
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PremisecitationThe viral load in throat swabs and sputum samples peaked at 5-6 days after onset and ranged from 10^4 to 10^7 copies/ml.
“The viral load in throat swabs and sputum samples peaked at 5–6 days after onset and ranged from 104 to 107 copies/ml (Pan et al., 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Pan et al., 2020 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningNA is an important target of anti-influenza drugs.
“NA is, therefore, an important target of anti-influenza drugs.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationCulture supernatants of NA-producing oral bacteria, like Streptococcus oralis and Streptococcus mitis, can promote the release of influenza virus and cell-to-cell spread of the infection, and also help to increase viral M1 protein expression levels and activation of cellular ERK.
“It was known that the culture supernatants of NA-producing oral bacteria, like Streptococcus oralis and Streptococcus mitis, can promote the release of influenza virus and cell-to-cell spread of the infection, and also help to increase viral M1 protein expression levels and activation of cellular ERK.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kamio et al., 2015 source
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PremisecitationIn patients infected by SARS-CoV-2, Fusobacterium periodonticum significantly decreased in the nasopharynx, while in the gut, the proportion of probiotics (like Bifidobacterium, Lactobacillus, and Eubacterium) was significantly reduced, and the proportion of conditioned pathogenic bacteria was significantly increased, such as Corynebacterium and Ruthenibacterium, which could lead to microbial tran
“What’s more, the imbalance of microbiota was also found in patients infected by SARS-CoV-2, Fusobacterium periodonticum significantly decreased in the nasopharynx (Moore et al., 2020),while in the gut, the proportion of probiotics (like Bifidobacterium, Lactobacillus, and Eubacterium) was significantly reduced, and the proportion of conditioned pathogenic bacteria was significantly increased, such”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Moore et al., 2020 source
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- cites Yu et al., 2020
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PremisecitationSspA is a key factor in regulating the host innate immunity, is an immunostimulatory component of S. gordonii that promotes bacterial adhesion, and purified SspA can induce IL-6 and monocyte chemotatic protein-1 production from human lung epithelial cells.
“The cell-wall-anchored protein Staphylococcal surface protein A (SspA), a key factor in regulating the host innate immunity, is an immunostimulatory component of S. gordonii that promotes bacterial adhesion, and purified SspA can induce IL-6 and monocyte chemotatic protein-1 production from human lung epithelial cells (Andrian et al., 2012).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Andrian et al., 2012 source
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PremisecitationPrevotella primarily activates toll-like receptor 2 and enhances the expression of inflammatory cytokines, including IL-23 and IL-1.
“Lung inflammation has been associated with enrichment of the lung microbiome with Prevotella, this organisms primarily activates toll-like receptor 2 and enhance the expression of inflammatory cytokines, including IL-23 and IL-1 (Segal et al., 2013, 2016).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Segal et al., 2013, 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationLike SARS-CoV and MERS-CoV, SARS-CoV-2 can also induce excessive and aberrant non-effective host immune responses that are associated with severe lung pathology, and lead to death.
“Like SARS-CoV and MERS-CoV, SARS-CoV-2 can also induce excessive and aberrant non-effective host immune responses that are associated with severe lung pathology, and lead to death (Hui and Zumla, 2019; Huang et al., 2020).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Hui and Zumla, 2019
Not checked in the free run.
- cites Huang et al., 2020 source
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PremisecitationCellular immunity and cytokines status are closely related to the state of illness, with high levels of IL-6 and IL-10 levels in severe patients.
“It has been confirmed that the cellular immunity and cytokines status are closely related to the state of illness, with high levels of IL-6 and IL-10 levels in severe patients (Wan et al., 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Wan et al., 2020 source
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PremisecitationUnder certain conditions, Streptococcus gordonii can attack host fibronectin, and subsequent cytokine production can induce inflammatory responses.
“Under certain conditions, Streptococcus gordonii can attack host fibronectin, and subsequent cytokine production can induce inflammatory responses (Erb-Downward et al., 2011; Liu et al., 2018).”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationThe levels of serum IL-6 and IL-8 were significantly increased in patients with lung dysfunction, and local inflammatory factors spread into systemic circulation.
“The levels of serum IL-6 and IL-8 were significantly increased in patients with lung dysfunction, and local inflammatory factors spread into systemic circulation (Yang et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yang et al., 2018 source
Not checked in the free run.
May combine two claims.
PremisecitationP. gingivalis can produce Gingipain, which affects the innate immune response and promotes chronic inflammation.
“Animal experiments (Benedyk et al., 2016) suggested that P. gingivalis can produce Gingipain, which then affect the innate immune response and promote chronic inflammation.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Benedyk et al., 2016 source
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InterpretationcitationThe presence of oral microbes such as Streptococcus, Prevotella and Porphyromonas can not only change the microbial composition of the respiratory system, but also promote a series of cytokine responses and affect the immune homeostasis of the lungs.
“The presence of oral microbes such as Streptococcus, Prevotella and Porphyromonas can not only change the microbial composition of the respiratory system, but also promote a series of cytokine responses and affect the immune homeostasis of the lungs.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIn the elderly, apart from increased risk of severe disease, recovery could also be slower and poor, increasing the possibility of recrudescence or aggravation as time passes.
“Apart from the increased risk of severe disease, recovery could also be slower and poor, thus increasing the possibility of recrudescence or aggravation as time passes (Boe et al., 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Boe et al., 2017 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAbout 1/4 to 1/2 of patients infected by SARS-CoV-2 had chronic comorbidities.
“About 1/4∼1/2 patients infected by SARS-CoV-2 had chronic comorbidities, and the prognosis was strongly associated with the presence and number of comorbidities (Chen N. et al., 2020; Guan et al., 2020a).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Chen N. et al., 2020
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- cites Guan et al., 2020a
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InterpretationreasoningThe chronic inflammatory process contributes to changes in microbiota composition, potentially making it harder to intervene.
“This not only suggest that these anaerobic commensals play an important role in the level of resilience against pathogen overgrowth and disease, but also emphasizes that the chronic inflammatory process contributes to the changes in microbiota composition, potentially making it harder to intervene.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIn COVID-19 patients, both peripheral CD4+ T and CD8+ T counts were significantly reduced but hyperactivated.
“Based on anatomic reports (Xu Z. et al., 2020), found that both the peripheral CD4+ T and CD8+ T counts of the COVID-19 patients were significantly reduced, but hyperactivated.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Xu Z. et al., 2020
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PremisecitationIn COVID-19 patients, there was an increase in highly pro-inflammatory CCR6+ Th17 in CD4+ T cells and a high concentration of cytotoxic granules in CD8+ T cells.
“Additionally, there was an increase in highly pro-inflammatory CCR6+ Th17 in CD4+ T cells and a high concentration of cytotoxic granules in CD8+ T cells.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Xu Z. et al., 2020
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Probably not a substantial claim: may not pass S4 (based).
InterpretationreasoningCo-infection is critical to prognosis in COVID-19.
“Drawing on the experiences of SARS in 2003 and influenza outbreaks, we recommend that oral hygiene in COVID 19 patients be a concern as co-infection is critical to prognosis.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Interpretationnone givenDuring the SARS-CoV-2 global outbreak, numerous cases are coinfected with other pathogens, some of which originate from the oral cavity.
“During the SARS-CoV-2 global outbreak, numerous cases are coinfected with other pathogens, some of which originate from the oral cavity.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
InterpretationreasoningImmune disorders caused by viral infection can promote additional bacterial/fungal infections, hence increase the risk of secondary pneumonia.
“As discussed above, poor oral hygiene can lead to a large accumulation of pathogens in the oral cavity and immune disorders caused by viral infection can promote additional bacterial/fungal infections, hence increase the risk of secondary pneumonia.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationPovidone iodine (0.23-1%), cetylpyridinium chloride (0.05-0.10%), and hydrogen peroxide (0.5-1.5%) all effectively reduce the number of oral microbiota.
“Povidone iodine (PV-I, 0.23∼1%), cetylpyridinium chloride (CPC, 0.05∼0.10%), and hydrogen peroxide (0.5∼1.5%) all effectively reduce the number of oral microbiota (Ardizzoni et al., 2018; Eggers et al., 2018; Li and Meng, 2020).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
InterpretationreasoningImproving oral hygiene care by either mechanical or chemical control of dental plaque biofilm formation would reduce the number of potential respiratory pathogens and inhibit droplet-borne virus route through the oral cavity, and hence reduce the risk and mortality risk of aspiration pneumonia.
“Improving oral hygiene care by either mechanical or chemical control of dental plaque biofilm formation would reduce the number of potential respiratory pathogens and inhibit droplet-borne virus route through oral cavity, and hence consequently reduce the risk and mortality risk of aspiration pneumonia.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationMouthwash containing chlorhexidine (0.02%) or CPC can impair both the biofilm formation of viridans streptococci and the adhesion, proinflammatory effects, and immune escape abilities of Candida albicans.
“Mouthwash containing chlorhexidine (CHX, 0.02%) or CPC have the ability to impair both the biofilm formation of viridans streptococci and the adhesion, proinflammatory effects, and immune escape abilities of Candida albicans (Ardizzoni et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ardizzoni et al., 2018 source
Not checked in the free run.
The paper relies on this without support.
Lung hypoxia favors the growth of anaerobes and facultative anaerobes originating from the oral microbiota.
“Additionally, lung hypoxia would stimulate the growth of anaerobes and facultative anaerobes derived from oral microbiota.”
The paper relies on this without support.
Compared with healthy individuals, those with chronic diseases have a certain degree of microecological disorder.
“Compared with healthy individuals, those with chronic diseases have a certain degree of microecological disorder.”
The paper relies on this without support.
Oral microbiota is prone to entering the lower respiratory tract due to increased aspiration and the presence of mechanical ventilation.
“Given the fact that oral microbiota is prone to entering the lower respiratory tract due to increased aspiration and the presence of mechanical ventilation, the prevalence of fatal VAP may increase.”
The paper relies on this without support.
Current guidelines for the management of COVID-19 scarcely emphasize oral care.
“However, current guidelines for the management of COVID-19 scarcely emphasize oral care.”
The paper relies on this without support.
SARS-CoV-2 is vulnerable to oxidation.
“Since SARS-CoV-2 is vulnerable to oxidation, antiseptic mouthwash or gel containing broad spectrum oxidative agents, such as hydrogen peroxide or PV-I, is recommended to reduce the oral microbiota and potentially SARS-CoV-2 as well.”
The paper relies on this without support.
Little work has been done on the coronaviruses and oral microbiomes.
“Until now, little work had been done on the coronaviruses and oral microbiomes, and much remains for future study.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
These findings implicate a possible role for co-infection by the oral microbiota and SARS-CoV-2 in the lungs of COVID-19 patients.
“Such findings implicate a possible role for co‐infection by the oral microbiota and SARS‐CoV‐2 in the lungs of COVID‐19 patients”
From The oral microbiome: Role of key organisms and complex networks in oral health and disease (2021) · cites this paper as [311]
Cites
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884 · see citing works
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246 · see citing works
A novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244 · see citing works
A pneumonia outbreak associated with a new coronavirus of probable bat origin
Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., et al. (2020) · Nature · doi:10.1038/s41586-020-2012-7 · Cited by 21,969 · see citing works
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415 · see citing works
Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286 · see citing works
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148 · see citing works
Self-citationLa certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463 · see citing works
A new coronavirus associated with human respiratory disease in China
Wu, F., Zhao, S., Yu, B., Chen, Y.-M., Wang, W., Song, Z.-G., Hu, Y., Tao, Z.-W., Tian, J.-H., Pei, Y.-Y., et al. (2020) · Nature · doi:10.1038/s41586-020-2008-3 · Cited by 11,688 · see citing works
Pathological findings of COVID-19 associated with acute respiratory distress syndrome
Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., Liu, S., Zhao, P., Liu, H., Zhu, L., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30076-x · Cited by 8,545 · see citing works
Self-citationChan, J., Yuan, S.-F., Kok, K.-H., To, K., Chu, H., Yang, J., Xing, F., Liu, J.-L., Yip, C., Poon, R., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30154-9 · Cited by 8,450 · see citing works
Persistence of coronaviruses on inanimate surfaces and their inactivation with biocidal agents.
Kampf, G., Todt, D., Pfaender, S., & Steinmann, E. (2020) · Journal of Hospital Infection · doi:10.1016/j.jhin.2020.01.022 · Cited by 3,796 · see citing works
Comorbidity and its impact on 1590 patients with covid-19 in China: a nationwide analysis
Guan, W.-J., Liang, W.-H., Zhao, Y., Liang, H.-R., Chen, Z.-S., Li, Y.-M., Liu, X.-Q., Chen, R.-C., Tang, C.-L., Wang, T., et al. (2020) · European Respiratory Journal · doi:10.1183/13993003.00547-2020 · Cited by 3,680 · see citing works
Self-citationDewhirst, F. E., Chen, T., Izard, J., Paster, B. J., Tanner, A. C. R., Yu, W.-H., Lakshmanan, A., & Wade, W. G. (2010) · Journal of Bacteriology · doi:10.1128/jb.00542-10 · Cited by 3,352 · see citing works
Letko, M., Marzi, A., & Munster, V. (2020) · Nature Microbiology · doi:10.1038/s41564-020-0688-y · Cited by 3,109 · see citing works
Periodontitis: from microbial immune subversion to systemic inflammation
Hajishengallis, G. (2015) · Nature Reviews Immunology · doi:10.1038/nri3785 · Cited by 3,046 · cited 1× · see citing works
“It is speculated that aspiration pneumonia is also closely related to oral microorganisms due to the aspiration of oropharyngeal secretions (Hajishengallis, 2015).”
BackgroundTo, K. K., Tsang, O. T.-Y., Leung, W.-S., Tam, A. R., Wu, T.-C., Lung, D. C., Yip, C. C., Cai, J., Chan, J. M., Chik, T. S., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30196-1 · Cited by 3,045 · see citing works
High expression of ACE2 receptor of 2019-nCoV on the epithelial cells of oral mucosa
Xu, H., Zhong, L., Deng, J., Peng, J., Dan, H., Zeng, X., Li, T., & Chen, Q. (2020) · International Journal of Oral Science · doi:10.1038/s41368-020-0074-x · Cited by 2,838 · see citing works
Patient-derived organoids model treatment response of metastatic gastrointestinal cancers
Vlachogiannis, G., Hedayat, S., Vatsiou, A., Jamin, Y., Fernández-Mateos, J., Khan, K., Lampis, A., Eason, K., Huntingford, I., Burke, R., et al. (2018) · Science · doi:10.1126/science.aao2774 · Cited by 2,096 · see citing works
Coronavirus infections and immune responses
Li, G., Fan, Y., Lai, Y., Han, T., Li, Z., Zhou, P., Pan, P., Wang, W., Hu, D., Liu, X., et al. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25685 · Cited by 1,963 · see citing works
Stability of SARS-CoV-2 in different environmental conditions
Chin, A. W. H., Chu, J. T. S., Perera, M. R. A., Hui, K. P. Y., Yen, H.-L., Chan, M. C. W., Peiris, M., & Poon, L. L. M. (2020) · doi:10.1101/2020.03.15.20036673 · Cited by 1,948 · see citing works
Stability of SARS-CoV-2 in different environmental conditions
Chin, A. W. H., Chu, J. T. S., Perera, M. R. A., Hui, K. P. Y., Yen, H., Chan, M. C. W., Peiris, M. J. S., & Poon, L. L. M. (2020) · The Lancet Microbe · doi:10.1016/s2666-5247(20)30003-3 · Cited by 1,948 · see citing works
Consistent Detection of 2019 Novel Coronavirus in Saliva
To, K. K., Tsang, O. T.-Y., Yip, C. C., Chan, K., Wu, T.-C., Chan, J. M., Leung, W.-S., Chik, T. S., Choi, C. Y.-C., Kandamby, D. H., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa149 · Cited by 1,873 · see citing works
Rawson, T. M., Moore, L. S. P., Zhu, N., Ranganathan, N., Skolimowska, K., Gilchrist, M., Satta, G., Cooke, G., & Holmes, A. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa530 · Cited by 1,662 · see citing works
Morens, D. M., Taubenberger, J. K., & Fauci, A. S. (2008) · The Journal of Infectious Diseases · doi:10.1086/591708 · Cited by 1,625 · see citing works
Co-infections in people with COVID-19: a systematic review and meta-analysis.
Lansbury, L., Lim, B., Baskaran, V., & Lim, W. S. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.05.046 · Cited by 1,619 · see citing works
SARS-CoV-2 productively infects human gut enterocytes
Lamers, M. M., Beumer, J., van der Vaart, J., Knoops, K., Puschhof, J., Breugem, T. I., Ravelli, R. B. G., Paul van Schayck, J., Mykytyn, A. Z., Duimel, H. Q., et al. (2020) · Science · doi:10.1126/science.abc1669 · Cited by 1,573 · see citing works
Viral load of SARS-CoV-2 in clinical samples.
Pan, Y., Zhang, D., Yang, P., Poon, L. L. M., & Wang, Q. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30113-4 · Cited by 1,562 · see citing works
Alterations in Gut Microbiota of Patients With COVID-19 During Time of Hospitalization
Zuo, T., Zhang, F., Lui, G. C. Y., Yeoh, Y. K., Li, A. Y. L., Zhan, H., Wan, Y., Chung, A. C. K., Cheung, C. P., Chen, N., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.05.048 · Cited by 1,537 · see citing works
Clinical characteristics of 2019 novel coronavirus infection in ChinaPreprint
Guan, W., Ni, Z., Hu, Y., et al. (2020) · medRxiv · doi:10.1101/2020.02.06.20020974 · Cited by 1,485 · see citing works
Torres, A., Niederman, M. S., Chastre, J., Ewig, S., Fernandez-Vandellos, P., Hanberger, H., Kollef, M., Li Bassi, G., Luna, C. M., Martin-Loeches, I., et al. (2017) · European Respiratory Journal · doi:10.1183/13993003.00582-2017 · Cited by 1,387 · see citing works
Identification of a novel coronavirus causing severe pneumonia in human: a descriptive study.
Ren, L.-L., Wang, Y.-M., Wu, Z.-Q., Xiang, Z.-C., Guo, L., Xu, T., Jiang, Y.-Z., Xiong, Y., Li, Y.-J., Li, X.-W., et al. (2020) · Chinese Medical Journal · doi:10.1097/cm9.0000000000000722 · Cited by 1,349 · see citing works
Self-citationThe immune response to <i>Prevotella</i> bacteria in chronic inflammatory disease
Larsen, J. M. (2017) · Immunology · doi:10.1111/imm.12760 · Cited by 1,343 · see citing works
Analysis of the lung microbiome in the “healthy” smoker and in COPD.
Erb-Downward, J. R., Thompson, D. L., Han, M. K., Freeman, C. M., McCloskey, L., Schmidt, L. A., Young, V. B., Toews, G. B., Curtis, J. L., Sundaram, B., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016384 · Cited by 973 · see citing works
Single-Cell RNA Expression Profiling of ACE2, the Receptor of SARS-CoV-2
Zhao, Y., Zhao, Z., Wang, Y., Zhou, Y., Ma, Y., & Zuo, W. (2020) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202001-0179le · Cited by 916 · see citing works
Single-cell RNA expression profiling of ACE2, the receptor of SARS-CoV-2
Zhao, Y., Zhao, Z., Wang, Y., Zhou, Y., Ma, Y., & Zuo, W. (2020) · doi:10.1101/2020.01.26.919985 · Cited by 860 · see citing works
Bassis, C. M., Erb-Downward, J. R., Dickson, R. P., Freeman, C. M., Schmidt, T. M., Young, V. B., Beck, J. M., Curtis, J. L., & Huffnagle, G. B. (2015) · mBio · doi:10.1128/mbio.00037-15 · Cited by 839 · see citing works
Yang, Y., Yang, M., Shen, C., Wang, F., Yuan, J., Li, J., Zhang, M., Wang, Z., Xing, L., Wei, J., et al. (2020) · doi:10.1101/2020.02.11.20021493 · Cited by 836 · see citing works
The co-pathogenesis of influenza viruses with bacteria in the lung.
McCullers, J. A. (2014) · Nature Reviews Microbiology · doi:10.1038/nrmicro3231 · Cited by 722 · see citing works
Segal, L. N., Clemente, J. C., Tsay, J.-C. J., Koralov, S. B., Keller, B. C., Wu, B. G., Li, Y., Shen, N., Ghedin, E., Morris, A., et al. (2016) · Nature Microbiology · doi:10.1038/nmicrobiol.2016.31 · Cited by 685 · see citing works
Self-citationA mouse-adapted model of SARS-CoV-2 to test COVID-19 countermeasures
Dinnon, K. H., Leist, S. R., Schäfer, A., Edwards, C. E., Martinez, D. R., Montgomery, S. A., West, A., Yount, B. L., Hou, Y. J., Adams, L. E., et al. (2020) · Nature · doi:10.1038/s41586-020-2708-8 · Cited by 675 · see citing works
Comorbidity and its impact on 1,590 patients with COVID-19 in China: A Nationwide AnalysisPreprint
Guan, W., Liang, W., Zhao, Y., et al. (2020) · medRxiv · doi:10.1101/2020.02.25.20027664 · Cited by 650 · see citing works
The oral microbiota in colorectal cancer is distinctive and predictive
Flemer, B., Warren, R. D., Barrett, M. P., Cisek, K., Das, A., Jeffery, I. B., Hurley, E., O‘Riordain, M., Shanahan, F., & O‘Toole, P. W. (2018) · Gut · doi:10.1136/gutjnl-2017-314814 · Cited by 646 · see citing works
Pathogens and host immunity in the ancient human oral cavity
Warinner, C., Rodrigues, J. F. M., Vyas, R., Trachsel, C., Shved, N., Grossmann, J., Radini, A., Hancock, Y., Tito, R. Y., Fiddyment, S., et al. (2014) · Nature Genetics · doi:10.1038/ng.2906 · Cited by 618 · see citing works
The influence of the microbiome on respiratory health
Wypych, T. P., Wickramasinghe, L. C., & Marsland, B. J. (2019) · Nature Immunology · doi:10.1038/s41590-019-0451-9 · Cited by 611 · see citing works
Iwata‐Yoshikawa, N., Okamura, T., Shimizu, Y., Hasegawa, H., Takeda, M., & Nagata, N. (2019) · Journal of Virology · doi:10.1128/jvi.01815-18 · Cited by 607 · see citing works
Co-infection with respiratory pathogens among COVID-2019 cases
Zhu, X., Ge, Y., Wu, T., Zhao, K., Chen, Y., Wu, B., Zhu, F., Zhu, B., & Cui, L. (2020) · Virus Research · doi:10.1016/j.virusres.2020.198005 · Cited by 607 · see citing works
The frequency of influenza and bacterial coinfection: a systematic review and meta-analysis.
Klein, E. Y., Monteforte, B., Gupta, A., Jiang, W., May, L., Hsieh, Y., & Dugas, A. (2016) · Influenza and Other Respiratory Viruses · doi:10.1111/irv.12398 · Cited by 574 · see citing works
Chen, L., Liu, W., Qi, Z., Xu, K., Ye, G., Wu, W.-C., Sun, Z., Liu, F., Wu, K., Zhong, B., et al. (2020) · Emerging Microbes & Infections · doi:10.1080/22221751.2020.1725399 · Cited by 570 · see citing works
Self-citationThe Lung Microbiome: New Principles for Respiratory Bacteriology in Health and Disease
Dickson, R. P., & Huffnagle, G. B. (2015) · PLoS Pathogens · doi:10.1371/journal.ppat.1004923 · Cited by 562 · see citing works
Wan, S., Yi, Q., Fan, S., Lv, J., Zhang, X., Guo, L., Lang, C., Xiao, Q., Xiao, K., Yi, Z., et al. (2020) · doi:10.1101/2020.02.10.20021832 · Cited by 562 · see citing works
Recent advances in the detection of respiratory virus infection in humans
Zhang, N., Wang, L., Deng, X., Liang, R., Su, M., He, C., Hu, L., Su, Y., Ren, J. F., Yu, F., et al. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25674 · Cited by 552 · see citing works
Pathogenesis of SARS-CoV-2 in Transgenic Mice Expressing Human Angiotensin-Converting Enzyme 2
Jiang, R.-D., Liu, M.-Q., Chen, Y., Shan, C., Zhou, Y.-W., Shen, X.-R., Li, Q., Zhang, L., Zhu, Y., Si, H.-R., et al. (2020) · Cell · doi:10.1016/j.cell.2020.05.027 · Cited by 541 · see citing works
The respiratory tract microbiome and lung inflammation: a two-way street.
Huffnagle, G. B., Dickson, R. P., & Lukacs, N. W. (2017) · Mucosal Immunology · doi:10.1038/mi.2016.108 · Cited by 535 · see citing works
Shen, Z., Xiao, Y., Kang, L., Ma, W., Shi, L., Zhang, L., Zhou, Z., Yang, J., Zhong, J., Yang, D., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa203 · Cited by 513 · see citing works
Severe Acute Respiratory Syndrome
Hui, D. S. C., & Zumla, A. I. (2019) · Infectious Disease Clinics of North America · doi:10.1016/j.idc.2019.07.001 · Cited by 507 · see citing works
Three Emerging Coronaviruses in Two Decades
Guarner, J. (2020) · American Journal of Clinical Pathology · doi:10.1093/ajcp/aqaa029 · Cited by 503 · see citing works
Respiratory viral infection-induced microbiome alterations and secondary bacterial pneumonia.
Hanada, S., Pirzadeh, M., Carver, K. Y., & Deng, J. C. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02640 · Cited by 495 · see citing works
Segal, L. N., Alekseyenko, A. V., Clemente, J. C., Kulkarni, R., Wu, B., Chen, H., Berger, K. I., Goldring, R. M., Rom, W. N., Blaser, M. J., et al. (2013) · Microbiome · doi:10.1186/2049-2618-1-19 · Cited by 482 · see citing works
Kariwa, H., Fujii, N., & Takashima, I. (2006) · Dermatology · doi:10.1159/000089211 · Cited by 458 · see citing works
Lung organoids: current uses and future promise
Barkauskas, C. E., Chung, M.-I., Fioret, B. A., Gao, X., Katsura, H., & Hogan, B. L. M. (2017) · Development · doi:10.1242/dev.140103 · Cited by 447 · see citing works
Reducing mortality from 2019-nCoV: host-directed therapies should be an option.
Zumla, A., Hui, D. S., Azhar, E. I., Memish, Z. A., & Maeurer, M. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30305-6 · Cited by 429 · see citing works
Application of a Neutral Community Model To Assess Structuring of the Human Lung Microbiome
Venkataraman, A., Bassis, C. M., Beck, J. M., Young, V. B., Curtis, J. L., Huffnagle, G. B., & Schmidt, T. M. (2015) · mBio · doi:10.1128/mbio.02284-14 · Cited by 428 · see citing works
The oral microbiota is modified by systemic diseases.
Graves, D. T., Corrêa, J. D., & Silva, T. A. (2019) · Journal of Dental Research · doi:10.1177/0022034518805739 · Cited by 423 · see citing works
Active tuberculosis, sequelae and COVID-19 co-infection: first cohort of 49 cases
Tadolini, M., Codecasa, L. R., García-García, J.-M., Blanc, F. –., Borisov, S. E., Alffenaar, J. C., Andréjak, C., Bachez, P., Bart, P., Belilovski, E., et al. (2020) · European Respiratory Journal · doi:10.1183/13993003.01398-2020 · Cited by 409 · see citing works
Oral hygiene care for critically ill patients to prevent ventilator-associated pneumonia
Shi, Z., Xie, H., Wang, P., Zhang, Q., Wu, X., Chen, E., Ng, L., Worthington, H. V., Needleman, I. G., & Furness, S. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008367.pub2 · Cited by 390 · see citing works
Eggers, M., Koburger-Janssen, T., Eickmann, M., & Zorn, J. (2018) · Infectious Diseases and Therapy · doi:10.1007/s40121-018-0200-7 · Cited by 386 · see citing works
Co-infections: potentially lethal and unexplored in COVID-19
Cox, M. J., Loman, N. J., Bogaert, D., & O’Grady, J. (2020) · The Lancet Microbe · doi:10.1016/s2666-5247(20)30009-4 · Cited by 381 · see citing works
Oral biofilms, periodontitis, and pulmonary infections
Paju, S., & Scannapieco, F. A. (2007) · Oral Diseases · doi:10.1111/j.1601-0825.2007.01410a.x · Cited by 368 · see citing works
MacIntyre, C. R., Chughtai, A. A., Barnes, M., Ridda, I., Seale, H., Toms, R., & Heywood, A. (2018) · BMC Infectious Diseases · doi:10.1186/s12879-018-3548-0 · Cited by 323 · see citing works
High-throughput screening and identification of potent broad-spectrum inhibitors of coronaviruses.
Shen, L., Niu, J., Wang, C., Huang, B., Wang, W., Zhu, N., Deng, Y., Wang, H., Ye, F., Cen, S., et al. (2019) · Journal of Virology · doi:10.1128/jvi.00023-19 · Cited by 319 · see citing works
Oral hygiene care for critically ill patients to prevent ventilator-associated pneumonia
Hua, F., Xie, H., Worthington, H. V., Furness, S., Zhang, Q., & Li, C. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008367.pub3 · Cited by 312 · see citing works
Barbier, F., Andremont, A., Wolff, M., & Bouadma, L. (2013) · Current Opinion in Pulmonary Medicine · doi:10.1097/mcp.0b013e32835f27be · Cited by 281 · see citing works
Williamson, I., Arnold, J. W., Samsa, L. A., Gaynor, L. T., DiSalvo, M., Cocchiaro, J. L., Carroll, I. M., Azcárate-Peril, M. A., Rawls, J. F., Allbritton, N. L., et al. (2018) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2018.05.004 · Cited by 248 · see citing works
Li, Q., Liu, X., Wang, D., Wang, Y., Lu, H., Wen, S., Fang, J., Cheng, B., & Wang, Z. (2020) · International Journal of Oral Science · doi:10.1038/s41368-020-00092-3 · Cited by 247 · see citing works
Kumar, P. S. (2017) · The Journal of Physiology · doi:10.1113/jp272427 · Cited by 241 · see citing works
Dysbiosis of upper respiratory tract microbiota in elderly pneumonia patients
de Steenhuijsen Piters, W. A. A., Huijskens, E. G. W., Wyllie, A. L., Biesbroek, G., van den Bergh, M. R., Veenhoven, R. H., Wang, X., Trzciński, K., Bonten, M. J., Rossen, J. W. A., et al. (2016) · The ISME Journal · doi:10.1038/ismej.2015.99 · Cited by 235 · see citing works
Liu, H., Tao, L., Zhang, J., Zhu, Y., Zheng, Y., Liu, D., Zhou, M., Ke, H., Shi, M., & Qu, J. (2018) · International Journal of Cancer · doi:10.1002/ijc.31098 · Cited by 235 · see citing works
Eggers, M., Eickmann, M., & Zorn, J. (2015) · Infectious Diseases and Therapy · doi:10.1007/s40121-015-0091-9 · Cited by 229 · see citing works
Pace, C. C., & McCullough, G. H. (2010) · Dysphagia · doi:10.1007/s00455-010-9298-9 · Cited by 198 · see citing works
Digital LAMP in a sample self-digitization (SD) chip
Gansen, A., Herrick, A. M., Dimov, I. K., Lee, L. P., & Chiu, D. T. (2012) · Lab on a Chip · doi:10.1039/c2lc21247a · Cited by 187 · see citing works
Diagnosing COVID-19-associated pulmonary aspergillosis
Verweij, P. E., Gangneux, J.-P., Bassetti, M., Brüggemann, R. J. M., Cornely, O. A., Koehler, P., Lass-Flörl, C., van de Veerdonk, F. L., Chakrabarti, A., & Hoenigl, M. (2020) · The Lancet Microbe · doi:10.1016/s2666-5247(20)30027-6 · Cited by 181 · see citing works
Phylogenetic and functional gene structure shifts of the oral microbiomes in periodontitis patients
Li, Y., He, J., He, Z., Zhou, Y., Yuan, M., Xu, X., Sun, F., Liu, C., Li, J., Xie, W., et al. (2014) · The ISME Journal · doi:10.1038/ismej.2014.28 · Cited by 180 · see citing works
Self-citationOral-lung microbiome interactions in lung diseases.
Mammen, M. J., Scannapieco, F. A., & Sethi, S. (2020) · Periodontology 2000 · doi:10.1111/prd.12301 · Cited by 179 · see citing works
Bahrani-Mougeot, F. K., Paster, B. J., Coleman, S., Barbuto, S., Brennan, M. T., Noll, J., Kennedy, T., Fox, P. C., & Lockhart, P. B. (2007) · Journal of Clinical Microbiology · doi:10.1128/jcm.01963-06 · Cited by 176 · see citing works
CD44 Plays a Functional Role in Helicobacter pylori-induced Epithelial Cell Proliferation
Bertaux‐Skeirik, N., Feng, R., Schumacher, M. A., Li, J., Mahé, M. M., Engevik, A. C., Javier, J. E., Peek, R. M., Ottemann, K. M., Orian‐Rousseau, V., et al. (2015) · PLoS Pathogens · doi:10.1371/journal.ppat.1004663 · Cited by 161 · see citing works
Segal, L. N., Clemente, J. C., Li, Y., Ruan, C., Cao, J., Danckers, M., Morris, A., Tapyrik, S., Wu, B. G., Diaz, P., et al. (2017) · Cell Host & Microbe · doi:10.1016/j.chom.2017.03.003 · Cited by 160 · see citing works
Self-citationInnate immune responses in the ageing lung.
Boe, D. M., Boule, L. A., & Kovacs, E. J. (2016) · Clinical and Experimental Immunology · doi:10.1111/cei.12881 · Cited by 156 · see citing works
Multicenter comparison of lung and oral microbiomes of HIV-infected and HIV-uninfected individuals.
Beck, J. M., Schloss, P. D., Venkataraman, A., Twigg, H., Jablonski, K. A., Bushman, F. D., Campbell, T. B., Charlson, E. S., Collman, R. G., Crothers, K., et al. (2015) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201501-0128oc · Cited by 150 · see citing works
The lung tissue microbiota of mild and moderate chronic obstructive pulmonary disease
Pragman, A. A., Lyu, T., Baller, J. A., Gould, T. J., Kelly, R. F., Reilly, C. S., Isaacson, R. E., & Wendt, C. H. (2018) · Microbiome · doi:10.1186/s40168-017-0381-4 · Cited by 150 · see citing works
Forty years with coronaviruses
Weiss, S. R. (2020) · The Journal of Experimental Medicine · doi:10.1084/jem.20200537 · Cited by 143 · see citing works
Immunosenescence and pneumococcal disease: an imbalance in host-pathogen interactions.
Krone, C. L., van de Groep, K., Trzciński, K., Sanders, E. A. M., & Bogaert, D. (2014) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(13)70165-6 · Cited by 134 · see citing works
Meta-transcriptomics and the evolutionary biology of RNA viruses
Shī, M., Zhāng, Y.-Z., & Holmes, E. C. (2017) · Virus Research · doi:10.1016/j.virusres.2017.10.016 · Cited by 131 · see citing works
Incidence of anaerobes in ventilator-associated pneumonia with use of a protected specimen brush.
Doré, P., Robert, R., Grollier, G., Rouffineau, J., Lanquetot, H., Charrière, J. M., & Fauchère, J. L. (1996) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.153.4.8616556 · Cited by 129 · see citing works
Popkin, D. L., Zilka, S., Dimaano, M., Fujioka, H., Rackley, C., Salata, R., Griffith, A., Mukherjee, P. K., Ghannoum, M. A., & Esper, F. (2017) · Pathogens and Immunity · doi:10.20411/pai.v2i2.200 · Cited by 123 · see citing works
Quantius, J., Schmoldt, C., Vazquez‐Armendariz, A. I., Becker, C., Agha, E. E., Wilhelm, J., Morty, R. E., Vadász, I., Mayer, K., Gattenloehner, S., et al. (2016) · PLoS Pathogens · doi:10.1371/journal.ppat.1005544 · Cited by 121 · see citing works
Moore, S. C., Penrice-Randal, R., Alruwaili, M., Dong, X., Pullan, S. T., Carter, D. P., Bewley, K., Zhao, Q., Sun, Y., Hartley, C., et al. (2020) · doi:10.1101/2020.03.05.20032011 · Cited by 121 · see citing works
Inadequate salivary flow and poor oral mucosal status in intubated intensive care unit patients.
Dennesen, P., van der Ven, A., Vlasveld, M., Lokker, L., Ramsay, G., Kessels, A., van den Keijbus, P., van Nieuw Amerongen, A., & Veerman, E. (2003) · Critical Care Medicine · doi:10.1097/01.ccm.0000053646.04085.29 · Cited by 115 · see citing works
Tongue microbiota and oral health status in community-dwelling elderly adults.
Asakawa, M., Takeshita, T., Furuta, M., Kageyama, S., Takeuchi, K., Hata, J., Ninomiya, T., & Yamashita, Y. (2018) · mSphere · doi:10.1128/msphere.00332-18 · Cited by 113 · see citing works
Kuroda, M., Katano, H., Nakajima, N., Tobiume, M., Ainai, A., Sekizuka, T., Hasegawa, H., Tashiro, M., Sasaki, Y., Arakawa, Y., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010256 · Cited by 111 · see citing works
McArdle, A. J., Turkova, A., & Cunnington, A. J. (2018) · Current Opinion in Infectious Diseases · doi:10.1097/qco.0000000000000447 · Cited by 108 · see citing works
Saeb, A. T. M., Al-Rubeaan, K. A., Aldosary, K., Udaya Raja, G. K., Mani, B., Abouelhoda, M., & Tayeb, H. T. (2019) · Microbial Pathogenesis · doi:10.1016/j.micpath.2019.01.009 · Cited by 107 · see citing works
Zhang, W., Luo, J., Dong, X., Zhao, S., Hao, Y., Peng, C., Shi, H., Zhou, Y., Shan, L., Sun, Q., et al. (2019) · Journal of Cancer · doi:10.7150/jca.28077 · Cited by 104 · see citing works
Self-citationShirato, K., Semba, S., El-Kafrawy, S. A., Hassan, A. M., Tolah, A. M., Takayama, I., Kageyama, T., Notomi, T., Kamitani, W., Matsuyama, S., et al. (2018) · Journal of Virological Methods · doi:10.1016/j.jviromet.2018.05.006 · Cited by 100 · see citing works
Benedyk, M., Mydel, P. M., Delaleu, N., Płaza, K., Gawron, K., Milewska, A., Maresz, K., Koziel, J., Pyrc, K., & Potempa, J. (2016) · Journal of Innate Immunity · doi:10.1159/000441724 · Cited by 98 · see citing works
Sharma, R., Agarwal, M., Gupta, M., Somendra, S., & Saxena, S. K. (2020) · Medical Virology: From Pathogenesis to Disease Control · doi:10.1007/978-981-15-4814-7_6 · Cited by 97 · see citing works
Li, Y., Wang, K., Zhang, B., Tu, Q., Yao, Y., Cui, B., Ren, B., He, J., Shen, X., Nostrand, J. D. V., et al. (2019) · International Journal of Oral Science · doi:10.1038/s41368-019-0045-2 · Cited by 90 · see citing works
Self-citationA mouse-adapted SARS-CoV-2 model for the evaluation of COVID-19 medical countermeasuresPreprint
Dinnon, K. H., Leist, S. R., Schäfer, A., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.06.081497 · Cited by 90 · see citing works
Man, W. H., Clerc, M., de Steenhuijsen Piters, W. A. A., van Houten, M. A., Chu, M. L. J. N., Kool, J., Keijser, B. J. F., Sanders, E. A. M., & Bogaert, D. (2019) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201810-1993oc · Cited by 89 · see citing works
Noh, J. Y., Yoon, S., Kim, D., Lee, M., Kim, J. H., Na, W., Song, D., Jeong, D. G., & Kim, H. K. (2017) · Archives of Virology · doi:10.1007/s00705-017-3281-9 · Cited by 88 · see citing works
[Prevention and control of novel coronavirus infection in department of stomatology].
Li, Z. Y., & Meng, L. (2020) · PubMed · doi:10.3760/cma.j.cn112144-20200210-00044 · Cited by 86 · see citing works
Ai, J., Zhang, H.-C., Xu, T., Wu, J., Zhu, M., Yu, Y., Zhang, H., Li, Y., Zhou, X., Shen, Z., et al. (2020) · medRxiv · doi:10.1101/2020.02.13.20022673 · Cited by 76 · see citing works
Self-citationLu, H., Li, A., Zhang, T., Ren, Z., He, K., Zhang, H., Yang, J., Luo, Q., Zhou, K., Chen, C., et al. (2017) · Emerging Microbes & Infections · doi:10.1038/emi.2017.101 · Cited by 74 · see citing works
Kageyama, S., Takeshita, T., Furuta, M., Tomioka, M., Asakawa, M., Suma, S., Takeuchi, K., Shibata, Y., Iwasa, Y., & Yamashita, Y. (2018) · The Journals of Gerontology Series A · doi:10.1093/gerona/glx205 · Cited by 73 · see citing works
Peddu, V., Shean, R. C., Xie, H., Shrestha, L., Perchetti, G. A., Minot, S. S., Roychoudhury, P., Huang, M.-L., Nalla, A., Reddy, S. B., et al. (2020) · Clinical Chemistry · doi:10.1093/clinchem/hvaa106 · Cited by 73 · see citing works
Khan, A. A., & Khan, Z. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa285 · Cited by 72 · see citing works
Changes in the swine gut microbiota in response to porcine epidemic diarrhea infection.
Koh, H.-W., Kim, M. S., Lee, J.-S., Kim, H., & Park, S.-J. (2015) · Microbes and Environments · doi:10.1264/jsme2.me15046 · Cited by 69 · see citing works
Modulation of potential respiratory pathogens by pH1N1 viral infection.
Leung, R. K.-K., Zhou, J.-W., Guan, W., Li, S.-K., Yang, Z.-F., & Tsui, S. K.-W. (2013) · Clinical Microbiology and Infection · doi:10.1111/1469-0691.12054 · Cited by 66 · see citing works
Tuon, F. F., Gavrilko, O., Almeida, S. D., Sumi, E. R., Alberto, T., Rocha, J. L., & Rosa, E. A. (2017) · Journal of Global Antimicrobial Resistance · doi:10.1016/j.jgar.2016.12.007 · Cited by 66 · see citing works
Organoids as a Powerful Model for Respiratory Diseases
Li, Y., Wu, Q., Sun, X., Shen, J., & Chen, H. (2020) · Stem Cells International · doi:10.1155/2020/5847876 · Cited by 66 · see citing works
Self-citationImmunodepletion with Hypoxemia: A Potential High Risk Subtype of Coronavirus Disease 2019Preprint
Yu, L., Tong, Y., Shen, G., Fu, A., Lai, Y., Zhou, X., Yuan, Y., Wang, Y., Pan, Y., Yu, Z., et al. (2020) · medRxiv · doi:10.1101/2020.03.03.20030650 · Cited by 64 · see citing works
Self-citationde Carvalho Baptista, I. M., Martinho, F. C., Nascimento, G. G., da Rocha Santos, C. E., Prado, R. F. D., & Valera, M. C. (2018) · Archives of Oral Biology · doi:10.1016/j.archoralbio.2017.09.029 · Cited by 58 · see citing works
Ardizzoni, A., Pericolini, E., Paulone, S., Orsi, C. F., Castagnoli, A., Oliva, I., Strozzi, E., & Blasi, E. (2018) · PLoS ONE · doi:10.1371/journal.pone.0207262 · Cited by 58 · see citing works
Effects of bedrest 1: cardiovascular, respiratory and haematological systems.
Knight, J., Nigam, Y., & Jones, A. R. (2009) · PubMed · Cited by 55 · see citing works
Manipulation of necroptosis by Porphyromonas gingivalis in periodontitis development
Ke, X., Lei, L., Li, H., Li, H., & Yan, F. (2016) · Molecular Immunology · doi:10.1016/j.molimm.2016.07.010 · Cited by 52 · see citing works
Tan, L., Tang, X., Pan, C., Wang, H., & Pan, Y. (2019) · Journal of Periodontology · doi:10.1002/jper.17-0705 · Cited by 52 · see citing works
Flow of DNA in micro/nanofluidics: From fundamentals to applications
Rems, L., Kawale, D., Lee, L. J., & Boukany, P. E. (2016) · Biomicrofluidics · doi:10.1063/1.4958719 · Cited by 46 · see citing works
Ventilator-associated pneumonia: the central role of transcolonization.
Soussan, R., Schimpf, C., Pilmis, B., Degroote, T., Tran, M., Bruel, C., & Philippart, F. (2019) · Journal of Critical Care · doi:10.1016/j.jcrc.2018.12.005 · Cited by 46 · see citing works
Olsen, I. (2015) · Acta Odontologica Scandinavica · doi:10.3109/00016357.2015.1007480 · Cited by 45 · see citing works
Chronic periodontitis and reduced respiratory function.
Winning, L., Patterson, C. C., Cullen, K. M., Kee, F., & Linden, G. J. (2019) · Journal Of Clinical Periodontology · doi:10.1111/jcpe.13076 · Cited by 42 · see citing works
Shen, Y., Chen, L., Wang, M., Lin, D., Liang, Z. T., Song, P., Yuan, Q., Tang, H., Li, W., Duan, K., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-01619-1 · Cited by 41 · see citing works
Muscedere, J., Ofner, M., Kumar, A., Long, J., Lamontagne, F., Cook, D., McGeer, A., Chant, C., Marshall, J., Jouvet, P., et al. (2013) · Chest · doi:10.1378/chest.12-1861 · Cited by 40 · see citing works
Hong, C., Aung, M., Kanagasabai, K., Lim, C., Liang, S., & Tan, K. S. (2017) · International Journal of Dental Hygiene · doi:10.1111/idh.12321 · Cited by 40 · see citing works
Deficiency of iNOS contributes to <i>Porphyromonas gingivalis</i>‐induced tissue damage
Alayan, J., Ivanovski, S., Gemmell, E., Ford, P., Hamlet, S., & Farah, C. S. (2006) · Oral Microbiology and Immunology · doi:10.1111/j.1399-302x.2006.00304.x · Cited by 39 · see citing works
Microbiome: paediatricians’ perspective
Arora, S., Dewan, P., & Gupta, P. (2015) · Indian Journal of Medical Research · doi:10.4103/0971-5916.171275 · Cited by 39 · see citing works
Chen, Y., Zhou, R., Yi, Z., Li, Y., Fu, Y., Zhang, Y., Li, P., Li, X., & Pan, Y. (2018) · Molecular Medicine Reports · doi:10.3892/mmr.2018.8983 · Cited by 39 · see citing works
Kamio, N., Imai, K., Shimizu, K., Cueno, M. E., Tamura, M., Saito, Y., & Ochiai, K. (2015) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-014-1669-1 · Cited by 36 · see citing works
Ahamed, M., Akhtar, M. J., Khan, M. A. M., Alhadlaq, H. A., & Aldalbahi, A. K. (2017) · Colloids and Surfaces B Biointerfaces · doi:10.1016/j.colsurfb.2017.05.020 · Cited by 36 · see citing works
Connolly, E., Millhouse, E., Doyle, R., Culshaw, S., Ramage, G., & Moran, G. P. (2017) · Molecular Oral Microbiology · doi:10.1111/omi.12151 · Cited by 35 · see citing works
Long-term dexamethasone treatment diminishes store-operated Ca2+ entry in salivary acinar cells
Kusuda, Y., Kondo, Y., Miyagi, Y., Munemasa, T., Hori, Y., Aonuma, F., Tsuka, S., Mukaibo, T., Masaki, C., & Hosokawa, R. (2019) · International Journal of Oral Science · doi:10.1038/s41368-018-0031-0 · Cited by 32 · see citing works
Chukkapalli, S. S., Ambadapadi, S., Varkoly, K., Jiron, J., Aguirre, J. I., Bhattacharyya, I., Morel, L. M., Lucas, A. R., & Lakshmyya, K. (2018) · Pathogens and Disease · doi:10.1093/femspd/fty076 · Cited by 30 · see citing works
Rizzo, C., Caporali, M. G., & Rota, M. C. (2010) · Clinical Infectious Diseases · doi:10.1086/653444 · Cited by 29 · see citing works
Kim, M., Ko, Y. J., Seong, M., Kim, J., Shin, B.-M., & Sung, H. (2016) · Annals of Laboratory Medicine · doi:10.3343/alm.2016.36.5.450 · Cited by 29 · see citing works
Miller, D. P., Wang, Q., Weinberg, A., & Lamont, R. J. (2018) · Molecular Oral Microbiology · doi:10.1111/omi.12238 · Cited by 28 · see citing works
Paolicelli, G., LUCA, A. D., Jose, S. S., Cencicchio, M. A., Teloni, I., Frič, J., & Zelante, T. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00323 · Cited by 26 · see citing works
Meeting report: a close look at oral biofilms and microbiomes
Xu, X., Chen, F., Huang, Z., Ma, L., Chen, L., Pan, Y., Xu, J., Kim, S., Kinane, D. F., Koo, H., et al. (2018) · International Journal of Oral Science · doi:10.1038/s41368-018-0030-1 · Cited by 22 · see citing works
Periodontal status and lung function decline in the community: the Hisayama study.
Takeuchi, K., Matsumoto, K., Furuta, M., Fukuyama, S., Takeshita, T., Ogata, H., Suma, S., Shibata, Y., Shimazaki, Y., Hata, J., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-31610-3 · Cited by 20 · see citing works
Hashemzadeh, M. S., Rasouli, R., Zahraei, B., Izadi, M., Tat, M., Saadat, S. H., Najarasl, M., nejad, B. K., & Dorostkar, R. (2016) · Iranian Red Crescent Medical Journal · doi:10.5812/ircmj.23874 · Cited by 19 · see citing works
Role of surface proteins SspA and SspB of Streptococcus gordonii in innate immunity.
Andrian, E., Qi, G., Wang, J., Halperin, S. A., & Lee, S. F. (2012) · Microbiology · doi:10.1099/mic.0.058073-0 · Cited by 16 · see citing works
Wu, C., Guo, S., Niu, Y., Yang, L., Liu, B., Jiang, N., Su, M., & Wang, L. (2016) · Biomedical Reports · doi:10.3892/br.2016.693 · Cited by 16 · see citing works
2019 novel coronavirus (2019-nCoV) and 2019-nCoV pneumonia
Yan, J., Li, M., Sun, A., & Peng, Y. (2020) · doi:10.3760/cma.j.issn.0254-5101.2020.01.001 · Cited by 11 · see citing works
Zhang, H., Wang, Y., Porter, E. P., Lu, N., Lǐ, Y., Yuan, F., Lohman, M., Noll, L. W., Zheng, W., Stoy, C., et al. (2019) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2019.04.011 · Cited by 9 · see citing works
Respiratory Viral and Atypical Pneumonias
Cruz, C. S. D., & Wunderink, R. G. (2017) · Clinics in Chest Medicine · doi:10.1016/j.ccm.2016.12.001 · Cited by 7 · see citing works
Yang (2018) · PubMed · doi:10.3760/cma.j.issn.1002-0098.2018.05.005 · Cited by 6 · cited 1× · see citing works
“The levels of serum IL-6 and IL-8 were significantly increased in patients with lung dysfunction, and local inflammatory factors spread into systemic circulation (Yang et al., 2018).”
BackgroundEffect of exercise therapy on cytokine secretion in the saliva of bedridden patients.
Iki, H., Sawa, S., Teranishi, T., Tomita, M., Nishii, K., & Yamada, K. (2016) · Journal of Physical Therapy Science · doi:10.1589/jpts.28.2871 · Cited by 5 · see citing works
Liu, H. (2005) · Chinese Journal of Infection Control · Cited by 4 · see citing works
Wang, J. B., Xu, N., Shi, H. Z., Huang, X. Z., & Lin, L. (2003) · PubMed · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- 2020, Guideline for the Diagnosis and Treatment of Novel Coronavirus Pneumonia
- 2020, Coronavirus Disease (COVID-2019) Situation Report – 151.
- Zheng, 2003, The clinical characteristics of secondary infections of lower respiratory tract in severe acute respiratory syndrome., Chin. J. Respir. Crit. Care Med., 2, 270
Cited by
Sorted by citations
The oral microbiome: Role of key organisms and complex networks in oral health and disease
Sedghi, L., DiMassa, V., Harrington, A., Lynch, S. V., & Kapila, Y. L. (2021) · Periodontology 2000 · doi:10.1111/prd.12393 · Cited by 755 · see citing works
Association between periodontitis and severity of COVID‐19 infection: A case–control study
Marouf, N., Cai, W., Said, K. N., Daas, H., Diab, H., Chinta, V. R., Hssain, A. A., Nicolau, B., Sanz, M., & Tamimi, F. (2021) · Journal Of Clinical Periodontology · doi:10.1111/jcpe.13435 · Cited by 380 · see citing works
The oral microbiota and its role in carcinogenesis
Stasiewicz, M., & Karpiński, T. M. M. (2021) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2021.11.002 · Cited by 288 · see citing works
Wu, Y., Cheng, X., Jiang, G., Tang, H., Ming, S., Tang, L., Lu, J., Guo, C., Shan, H., & Huang, X. (2021) · npj Biofilms and Microbiomes · doi:10.1038/s41522-021-00232-5 · Cited by 200 · see citing works
Haran, J. P., Bradley, E. S., Zeamer, A. L., Cincotta, L., Salive, M.-C., Dutta, P., Mutaawe, S., Anya, O., Meza-Segura, M., Moormann, A. M., et al. (2021) · JCI Insight · doi:10.1172/jci.insight.152346 · Cited by 156 · see citing works
Metagenomic analysis reveals oropharyngeal microbiota alterations in patients with COVID-19
Ma, S., Zhang, F., Zhou, F., Li, H., Ge, W., Gan, R., Nie, H., Li, B., Wang, Y., Wu, M., et al. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00614-3 · Cited by 147 · see citing works
Soffritti, I., D’Accolti, M., Fabbri, C., Passaro, A., Manfredini, R., Zuliani, G., Libanore, M., Franchi, M., Contini, C., & Caselli, E. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.687513 · Cited by 163 · see citing works
Dietary Supplements and Nutraceuticals under Investigation for COVID-19 Prevention and Treatment
Lordan, R., Rando, H. M., & Greene, C. S. (2021) · mSystems · doi:10.1128/msystems.00122-21 · Cited by 130 · see citing works
Armed to the Teeth—The Oral Mucosa Immunity System and Microbiota
Ptasiewicz, M., Grywalska, E., Mertowska, P., Korona‐Głowniak, I., Poniewierska-Baran, A., Niedźwiedzka‐Rystwej, P., & Chałas, R. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23020882 · Cited by 98 · see citing works
Profiling of Oral Microbiota and Cytokines in COVID-19 Patients
Iebba, V., Zanotta, N., Campisciano, G., Zerbato, V., Bella, S. D., Cason, C., Morassut, S., Luzzati, R., Confalonieri, M., Palamara, A. T., et al. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.671813 · Cited by 83 · see citing works
Hernández‐Terán, A., Mejía-Nepomuceno, F., Herrera, M. T., Barreto, O., García, E., Castillejos-López, M. D. J., Boukadida, C., Matías‐Florentino, M., Rincón-Rubio, A., Ávila‐Ríos, S., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-00851-0 · Cited by 80 · see citing works
Potential implications of SARS-CoV-2 oral infection in the host microbiota
Xiang, Z., Koo, H., Chen, Q., Zhou, X., Liu, Y., & Simón‐Soro, Á. (2020) · Journal of Oral Microbiology · doi:10.1080/20002297.2020.1853451 · Cited by 77 · see citing works
Nardelli, C., Gentile, I., Setaro, M., Domenico, C. D., Pinchera, B., Buonomo, A. R., Zappulo, E., Scotto, R., Scaglione, G. L., Castaldo, G., et al. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.625581 · Cited by 75 · see citing works
Negrini, T. D. C., Carlos, I. Z., Duque, C., Caiaffa, K. S., & Arthur, R. A. (2021) · Frontiers in Oral Health · doi:10.3389/froh.2021.697428 · Cited by 76 · see citing works
Oral antiseptics against coronavirus: in-vitro and clinical evidence
Mateos‐Moreno, M., Mira, Á., Ausina-Márquez, V., & Ferrer, M. D. (2021) · Journal of Hospital Infection · doi:10.1016/j.jhin.2021.04.004 · Cited by 68 · see citing works
Islam, S. M. R., Foysal, M. J., Hoque, M. N., Mehedi, H. M. H., Rob, M. A., Salauddin, A., Tanzina, A. Y., Biswas, S., Noyon, S. H., Siddiki, A. Z., et al. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.821777 · Cited by 65 · see citing works
Microbiota and COVID-19: Long-term and complex influencing factors
Gang, J., Wang, H., Xue, X., & Zhang, S. J. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.963488 · Cited by 61 · see citing works
Current Status of Probiotics as Supplements in the Prevention and Treatment of Infectious Diseases
Li, X., Wang, Q., Hu, X., & Liu, W. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.789063 · Cited by 59 · see citing works
Oral dysbiosis and its linkage with SARS-CoV-2 infection
Gupta, A., Bhanushali, S., Sanap, A. P., Shekatkar, M., Kharat, A. H., Raut, C., Bhonde, R. R., Shouche, Y. S., Kheur, S. M., & Sharma, A. (2022) · Microbiological Research · doi:10.1016/j.micres.2022.127055 · Cited by 59 · see citing works
Lloyd‐Jones, G., Molayem, S., Pontes, C. D. N., & Chapple, I. (2021) · Journal Of Oral Medicine And Dental Research · doi:10.52793/jomdr.2020.2(1)-13 · Cited by 58 · see citing works
SARS-CoV-2 infection reduces human nasopharyngeal commensal microbiome with inclusion of pathobionts
Hoque, M. N., Sarkar, M. M. H., Rahman, M. S., Akter, S., Banu, T. A., Goswami, B., Jahan, I., Hossain, M. S., Shamsuzzaman, A. K. M., Nafisa, T., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-03245-4 · Cited by 58 · see citing works
Oral microbiome in human health and diseases
Tian, S., Ding, T., & Li, H. (2024) · mLife · doi:10.1002/mlf2.12136 · Cited by 61 · see citing works
The Role of Bacterial and Fungal Human Respiratory Microbiota in COVID‐19 Patients
Soltani, S., Zakeri, A., Zandi, M., Kesheh, M. M., Tabibzadeh, A., Dastranj, M., Faramarzi, S., Didehdar, M., Hafezi, H., Hosseini, P., et al. (2021) · BioMed Research International · doi:10.1155/2021/6670798 · Cited by 52 · see citing works
Periodontitis and coronavirus disease 2019
Tamimi, F., Altigani, S., & Sanz, M. (2022) · Periodontology 2000 · doi:10.1111/prd.12434 · Cited by 50 · see citing works
Zhang, J., Wu, Y., Liu, J., Yang, Y., Li, H., Wu, X., Zheng, X., Liang, Y., Tu, C., Chen, M., et al. (2022) · Advanced Science · doi:10.1002/advs.202203115 · Cited by 44 · see citing works
Battaglini, D., Robba, C., Fedele, A., Trancă, S., Sukkar, S. G., Pilato, V. D., Bassetti, M., Giacobbe, D. R., Vena, A., Patroniti, N. A., et al. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.671714 · Cited by 43 · see citing works
Role of the Microbiome in the Pathogenesis of COVID-19
De, R., & Dutta, S. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.736397 · Cited by 35 · see citing works
The Impact of Oral Health on Respiratory Viral Infection
Tada, A., & Senpuku, H. (2021) · Dentistry Journal · doi:10.3390/dj9040043 · Cited by 33 · see citing works
Taste Dysfunction and Long COVID-19
Srinivasan, M. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.716563 · Cited by 33 · see citing works
Meng, Z., Guo, S., Zhou, Y., Li, M., Wang, M., & Ying, B. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00731-z · Cited by 35 · see citing works
Devi, P., Maurya, R., Mehta, P., Shamim, U., Yadav, A., Chattopadhyay, P., Kanakan, A., Khare, K., Vasudevan, J. S., Sahni, S., et al. (2022) · Microbiology Spectrum · doi:10.1128/spectrum.02311-21 · Cited by 32 · see citing works
Pandey, A. P., Nikam, A. N., Mutalik, S. P., Fernandes, G. J., Shreya, A. B., Padya, B. S., Raychaudhuri, R., Kulkarni, S., Prassl, R., Subramanian, S., et al. (2020) · ACS Biomaterials Science & Engineering · doi:10.1021/acsbiomaterials.0c01243 · Cited by 31 · see citing works
Giugliano, R., Sellitto, A., Ferravante, C., Rocco, T., D’Agostino, Y., Alexandrova, E., Lamberti, J., Palumbo, D., Galdiero, M., Vaccaro, E., et al. (2022) · Microbial Pathogenesis · doi:10.1016/j.micpath.2022.105506 · Cited by 30 · see citing works
Wang, Q., Lin, X., Xiang, X., Liu, W., Fang, Y. Z., Chen, H., Tang, F. X., Guo, H., Chen, D., Hu, X., et al. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.646184 · Cited by 31 · see citing works
Assessing saliva microbiome collection and processing methods
Armstrong, A. J. S., Parmar, V., & Blaser, M. J. (2021) · npj Biofilms and Microbiomes · doi:10.1038/s41522-021-00254-z · Cited by 29 · see citing works
Coronavirus infection: An immunologists' perspective
Sanctis, J. B. D., García, A. H., Moreno, D., & Hajdúch, M. (2021) · Scandinavian Journal of Immunology · doi:10.1111/sji.13043 · Cited by 27 · see citing works
Uehara, O., Abiko, Y., Nagasawa, T., Morikawa, T., Hiraki, D., Harada, F., Kawano, Y., Toraya, S., Matsuoka, H., Paudel, D., et al. (2022) · BMC Oral Health · doi:10.1186/s12903-022-02093-6 · Cited by 26 · see citing works
Insight into the Relationship between Oral Microbiota and the Inflammatory Bowel Disease
Han, Y., Wang, B., Gao, H., He, C., Hua, R., Chen, L., Xin, S., Wang, Y., & Xu, J. (2022) · Microorganisms · doi:10.3390/microorganisms10091868 · Cited by 26 · see citing works
Pierro, F. D., Iqtadar, S., Mumtaz, S. U., Bertuccioli, A., Recchia, M., Zerbinati, N., & Khan, A. P. (2022) · Microorganisms · doi:10.3390/microorganisms10101926 · Cited by 27 · see citing works
The oral manifestations and related mechanisms of COVID-19 caused by SARS-CoV-2 infection
Lin, W.-M., Gao, F., Wang, X., Qin, N., Chen, X., Tam, K. Y., Zhang, C., Zhang, M., & Sha, O. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.1006977 · Cited by 25 · see citing works
Self-citationSaid, K. N., Al-Momani, A. M., Almaseeh, J. A., Marouf, N., Shatta, A., Al-Abdulla, J., Alaji, S., Daas, H. I., Tharupeedikayil, S., Chinta, V. R., et al. (2022) · Clinical Oral Investigations · doi:10.1007/s00784-022-04631-6 · Cited by 24 · see citing works
Kim, J. G., Zhang, A., Rauseo, A. M., Goss, C. W., Mudd, P. A., O’Halloran, J. A., & Wang, L. (2022) · Journal of Medical Virology · doi:10.1002/jmv.28445 · Cited by 24 · see citing works
Jahanshir, M., Nobahar, M., Ghorbani, R., & Malek, F. (2023) · Clinical Oral Investigations · doi:10.1007/s00784-023-04972-w · Cited by 29 · see citing works
Butera, A., Maiorani, C., Morandini, A., Simonini, M., Colnaghi, A., Morittu, S., Barbieri, S., Ricci, M., Guerrisi, G., Piloni, D., et al. (2021) · Microorganisms · doi:10.3390/microorganisms9112385 · Cited by 23 · see citing works
Al‐Emran, H. M., Rahman, S., Hasan, M. S., Alam, R. U., Islam, O. K., Anwar, A., Jahid, I. K., & Hossain, M. A. (2022) · Journal of Medical Virology · doi:10.1002/jmv.28234 · Cited by 22 · see citing works
Gregorczyk‐Maga, I., Pałka, A., Fiema, M., Kania, M., Kujawska, A., Maga, P., Jachowicz-Matczak, E., Romaniszyn, D., Chmielarczyk, A., Żółtowska, B., et al. (2023) · Antimicrobial Resistance and Infection Control · doi:10.1186/s13756-023-01218-y · Cited by 22 · see citing works
Microbiota and glioma: a new perspective from association to clinical translation
Wang, W., Ou, Z., Huang, X., Wang, J., Li, Q., Wen, M., & Zheng, L. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2394166 · Cited by 21 · see citing works
Bradley, E. S., Zeamer, A. L., Bucci, V., Cincotta, L., Salive, M.-C., Dutta, P., Mutaawe, S., Anya, O., Tocci, C., Moormann, A. M., et al. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.1009440 · Cited by 21 · see citing works
Bacteria Single-Cell and Photosensitizer Interaction Revealed by Quantitative Phase Imaging
Buzalewicz, I., Ulatowska-Jarża, A., Kaczorowska, A., Gąsior‐Głogowska, M., Podbielska, H., Karwańska, M., Wieliczko, A., Matczuk, A. K., Kowal, K. N., & Kopaczyńska, M. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22105068 · Cited by 20 · see citing works
COVID‐19 Pandemic and Periodontal Practice: The Immunological, Clinical, and Economic Points of View
Darestani, M. N., Akbari, A. A., Yaghobee, S., Taheri, M., & Akbari, S. (2022) · BioMed Research International · doi:10.1155/2022/3918980 · Cited by 18 · see citing works
Nasopharyngeal microbiota profiling of pregnant women with SARS-CoV-2 infection
Crovetto, F., Selma‐Royo, M., Crispi, F., Carbonetto, B., Pascal, R., Larroya, M., Casas, I., Tortajada, M., Escudero, N., Muñoz‐Almagro, C., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-17542-z · Cited by 19 · see citing works
Tan, L., Zhong, M., Liu, Q., Chen, Y., Zhao, Y., Zhao, J., Dusenge, M. A., Yao, F., Ye, Q., Hu, J., et al. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2023.1193340 · Cited by 18 · see citing works
Gomes, S. C., da Fonseca, J. G., Miller, L. M., Manenti, L., Angst, P. D. M., Lamers, M. L., Brum, I. S., & Nunes, L. N. (2022) · Journal of Periodontology · doi:10.1002/jper.21-0623 · Cited by 19 · see citing works
Respiratory tract microbiome and pneumonia
Narendrakumar, L., & Ray, A. (2022) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2022.07.002 · Cited by 18 · see citing works
Yasir, M., Al-Sharif, H. A., Alsubhi, T. L., Sindi, A., Bokhary, D. H., El-Daly, M. M., Alosaimi, B., Hamed, M. E., Karim, A. M., Hassan, A. M., et al. (2023) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2023.03.001 · Cited by 18 · see citing works
Shi, Y., He, M., Han, M., Gui, H., Wang, P., Yu, J., Ge, Y., Sun, Y. C., & Huang, S. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.824578 · Cited by 16 · see citing works
Tsoukalas, D., Sarandi, E., & Georgaki, S. (2021) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2021.06.011 · Cited by 17 · see citing works
The microbiota-related coinfections in COVID-19 patients: a real challenge
Mohapatra, R. K., Dhama, K., Mishra, S., Sarangi, A. K., Kandi, V., Tiwari, R., & Pintilie, L. (2021) · Beni-Suef University Journal of Basic and Applied Sciences · doi:10.1186/s43088-021-00134-7 · Cited by 16 · see citing works
Disease Tolerance during Viral-Bacterial Co-Infections
Barman, T. K., & Metzger, D. W. (2021) · Viruses · doi:10.3390/v13122362 · Cited by 15 · see citing works
Mask disinfection using atmospheric pressure cold plasma
Sainz‐García, A., Toledano, P., Muro‐Fraguas, I., Alvarez‐Erviti, L., Múgica‐Vidal, R., López, M., Sainz‐García, E., Rojo‐Bezares, B., Sáenz, Y., & Alba‐Elías, F. (2022) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2022.08.012 · Cited by 16 · see citing works
Gauthier, N. P. G., Locher, K., MacDonald, C., Chorlton, S. D., Charles, M., & Manges, A. R. (2022) · PLoS ONE · doi:10.1371/journal.pone.0275815 · Cited by 16 · see citing works
Al-Dahmash, N. D., Al‐Ansari, M. M., Al-Otibi, F. O., & Singh, A. (2021) · Journal of Drug Delivery Science and Technology · doi:10.1016/j.jddst.2021.102337 · Cited by 16 · see citing works
Mainas, G., Nibali, L., Ide, M., Mahmeed, W. A., Al‐Rasadi, K., Al-Alawi, K., Banach, M., Banerjee, Y., Ceriello, A., Cesur, M., et al. (2022) · Metabolites · doi:10.3390/metabo13010040 · Cited by 16 · see citing works
Microbiome and Long COVID-19: Current Evidence and Insights
Căliman-Sturdza, O. A., Hamamah, S., Iatcu, O. C., Lobiuc, A., Bosancu, A., & Covașă, M. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms262010120 · Cited by 17 · see citing works
Could Neisseria in oral microbiota modulate the inflammatory response of COVID‐19?
Demırci, M. (2021) · Oral Diseases · doi:10.1111/odi.14082 · Cited by 15 · see citing works
Exploring the oral microbiome: an updated multidisciplinary oral healthcare perspective
Chowdhry, A., Kapoor, P., Bhargava, D., & Bagga, D. K. (2023) · Discoveries · doi:10.15190/d.2023.4 · Cited by 15 · see citing works
Ivanova, N. A., Sotirova, Y., Gavrailov, G., Nikolova, K. T., & Andonova, V. (2022) · Pharmaceutics · doi:10.3390/pharmaceutics14030530 · Cited by 15 · see citing works
Nasal Microbiome in COVID-19: A Potential Role of Corynebacterium in Anosmia
Nardelli, C., Scaglione, G. L., Testa, D., Setaro, M., Russo, F., Domenico, C. D., Atripaldi, L., Zollo, M., Corrado, F., Salvatore, P., et al. (2022) · Current Microbiology · doi:10.1007/s00284-022-03106-x · Cited by 15 · see citing works
You, J., Zhou, L., San, X., Li, H., Li, M., & Wang, B. (2023) · The Journal of Microbiology · doi:10.1007/s12275-023-00076-y · Cited by 14 · see citing works
Oral microbiota and respiratory diseases: advances and perspectives
Liu, X., Shi, F., Zeng, J., Bi, J., Mo, C., Chai, Y., Wu, B., & Xu, S. (2025) · Clinical Microbiology Reviews · doi:10.1128/cmr.00150-24 · Cited by 17 · see citing works
Cutuli, S. L., Maio, F. D., PASCALE, G. D., Grieco, D. L., Monzo, F. R., Carelli, S., Tanzarella, E. S., Pintaudi, G., Piervincenzi, E., Cascarano, L., et al. (2021) · Journal of Critical Care · doi:10.1016/j.jcrc.2021.04.008 · Cited by 14 · see citing works
Zoonotic evolution and implications of microbiome in viral transmission and infection
Rajeev, R., Prathiviraj, R., Kiran, G. S., & Selvin, J. (2020) · Virus Research · doi:10.1016/j.virusres.2020.198175 · Cited by 14 · see citing works
Cultivable oral bacteriota dysbiosis in mechanically ventilated COVID-19 patients
Gregorczyk‐Maga, I., Fiema, M., Kania, M., Kędzierska, J., Jachowicz-Matczak, E., Romaniszyn, D., & Wójkowska‐Mach, J. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.1013559 · Cited by 13 · see citing works
Associated Bacterial Coinfections in COVID-19-Positive Patients
Boia, E. R., Hut, A.-R., Roi, A., Luca, R. E., Munteanu, I.-R., Roi, C. I., Riviș, M., Boia, S., Dușe, A. O., Vulcănescu, D. D., et al. (2023) · Medicina · doi:10.3390/medicina59101858 · Cited by 13 · see citing works
Retracted: Gut microbiota and COVID‐19: A systematic review
SeyedAlinaghi, S., Afzalian, A., Pashaei, Z., Varshochi, S., Karimi, A., Mojdeganlou, H., Mojdeganlou, P., Razi, A., Ghanadinezhad, F., Shojaei, A., et al. (2023) · Health Science Reports · doi:10.1002/hsr2.1080 · Cited by 11 · see citing works
RetractedMa, Z. S., & Zhang, Y. (2022) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2022.879130 · Cited by 12 · see citing works
Impact of Microbiota: A Paradigm for Evolving Herd Immunity against Viral Diseases
Shelly, A., Gupta, P., Ahuja, R., Srichandan, S., Meena, J., & Majumdar, T. (2020) · Viruses · doi:10.3390/v12101150 · Cited by 12 · see citing works
Etemad‐Moghadam, S., & Alaeddini, M. (2021) · International Journal of Dentistry · doi:10.1155/2021/6648082 · Cited by 11 · see citing works
Ghosh, A., Joseph, B., & Anil, S. (2022) · Cureus · doi:10.7759/cureus.23852 · Cited by 11 · see citing works
Limited Impact of SARS-CoV-2 on the Human Naso-Oropharyngeal Microbiota in Hospitalized Patients
Lai, C. K. C., Cheung, M. K., Lui, G. C.-Y., Ling, L., Chan, J. Y. K., Ng, R. W. Y., Chan, H. C., Yeung, A. C. M., Ho, W. C. S., Boon, S. S., et al. (2022) · Microbiology Spectrum · doi:10.1128/spectrum.02196-22 · Cited by 11 · see citing works
The forgotten oral microbial transplantation for improving the outcomes of COVID-19
AbdelMassih, A. F., Gadalla, M., Hussein, E., ElAhmady, M., Zahra, N., Eid, M. A., Hussein, M., Hassan, A. A., Abouzeid, A., Hassan, A., et al. (2021) · New Microbes and New Infections · doi:10.1016/j.nmni.2021.100923 · Cited by 10 · see citing works
Does periodontitis influence the risk of COVID‐19? A scoping review
Ghosh, A., Joseph, B., & Anil, S. (2022) · Clinical and Experimental Dental Research · doi:10.1002/cre2.584 · Cited by 12 · see citing works
Oral lesions in patients infected with SARS-CoV-2: a case series
Baeder, F. M., de Albuquerque, A. C. L., Corazza, P. F. L., Weigert, K. L., Puricelli, E., Pasetti, L. A., Ferreira, A. M., Serrão, M. D. C. P. N., Cardoso, A. M. R., Filho, M. T. D. B., et al. (2021) · Research Society and Development · doi:10.33448/rsd-v10i4.14349 · Cited by 9 · see citing works
Effectiveness of Toothpastes on SARS-CoV-2 Viral Load in Saliva
Eduardo, F., Corrêa, L., Mansur, F., Benítez, C., Hamerschlak, N., Pinho, J. R., Heller, D., & Bezinelli, L. (2022) · International Dental Journal · doi:10.1016/j.identj.2022.03.006 · Cited by 7 · see citing works
Assessment of correlation of COVID-19 infection and periodontitis- A comparative study
Kaur, A., Sandhu, H. S., Sarwal, A., Bhagat, S., Dodwad, R., Singh, G., & Gambhir, R. S. (2022) · Journal of Family Medicine and Primary Care · doi:10.4103/jfmpc.jfmpc_1978_21 · Cited by 9 · see citing works
He, D., Fu, C., Ning, M., Hu, X., Li, S., & Chen, Y. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.971933 · Cited by 9 · see citing works
Santos-Rodrigues, D., de Souza, P. T. D. R., Orsi, J. S. R., Souza, P. H. C., & Azevedo‐Alanis, L. R. (2023) · Journal of Evidence Based Dental Practice · doi:10.1016/j.jebdp.2023.101834 · Cited by 9 · see citing works
Impact of oral health on frailty syndrome in frail older adults
Vendola, M. C. C., & Filho, W. J. (2023) · Einstein (São Paulo) · doi:10.31744/einstein_journal/2023ao0103 · Cited by 8 · see citing works
Impact of COVID-19 vaccination on saliva immune barriers: IgA, lysozyme, and lactoferrin
Abdul-Kareem, H. H., Al-Maqtoofi, M. Y., & Burghal, A. A. (2023) · Archives of Virology · doi:10.1007/s00705-023-05914-3 · Cited by 8 · see citing works
When the clock ticks wrong with COVID‐19
Papagerakis, S. M., Said, R. S., Ketabat, F., Mahmood, R., Pundir, M., Lobanova, L., Guenther, G., Pannone, G., Lavender, K. J., McAlpin, B. R., et al. (2022) · Clinical and Translational Medicine · doi:10.1002/ctm2.949 · Cited by 7 · see citing works
de Lamballerie, C. N., Pizzorno, A., Fouret, J., Szpiro, L., Padey, B., Dubois, J., Julien, T., Traversier, A., Dulière, V., Brun, P., et al. (2020) · Microorganisms · doi:10.3390/microorganisms8121974 · Cited by 8 · see citing works
Rahaman, M. M., Sarkar, M. M. H., Rahman, M. S., Islam, M. R., Islam, I., Saha, O., Akter, S., Banu, T. A., Jahan, I., Habib, M. A., et al. (2021) · Journal of Medical Virology · doi:10.1002/jmv.27537 · Cited by 7 · see citing works
Top 50 covid and oral health articles: A 2021 altmetric analysis
Grillo, R., Lopes, T. R. Q., & Teixeira, R. G. (2022) · Journal of Oral Biology and Craniofacial Research · doi:10.1016/j.jobcr.2022.05.010 · Cited by 7 · see citing works
Nanoparticle-Based Inhalation Therapy for Pulmonary Diseases
Yadav, D., Wairagu, P. M., Kwak, M., & Jin, J.-O. (2022) · Current Drug Metabolism · doi:10.2174/1389200223666220803103039 · Cited by 7 · see citing works
Hoque, M. N., Rahman, M. S., Sarkar, M. M. H., Habib, M. A., Akter, S., Banu, T. A., Goswami, B., Jahan, I., Hossain, M. A., Khan, M. S., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0278134 · Cited by 7 · see citing works
Snoring may transmit infectious aerosols from the upper to the lower respiratory tract
Bax, A., Shen, Y., Kakeshpour, T., & Fennelly, K. P. (2022) · Medical Hypotheses · doi:10.1016/j.mehy.2022.110966 · Cited by 7 · see citing works
Inhibition of SARS-CoV-2 infection by Porphyromonas gingivalis and the oral microbiome
Bontempo, A., Chirino, A., Heidari, A., Lugo, A., Shindo, S., Pastore, M. R., Madonia, R., Antonson, S. A., Godoy, C., Nichols, F. C., et al. (2024) · Microbiology Spectrum · doi:10.1128/spectrum.00599-24 · Cited by 6 · see citing works
Oral Microbial Signatures Predict Susceptibility to SARS-CoV-2 Infection
Fischer, L. M., Sherif, A. K. E., & Bekele, T. M. (2024) · Journal of Current Research in Oral Surgery · doi:10.51847/nhm1ql15wt · Cited by 6 · see citing works
Understanding the Relationship of the Human Bacteriome with COVID-19 Severity and Recovery
Zafar, H., & Saier, M. H. (2023) · Cells · doi:10.3390/cells12091213 · Cited by 5 · see citing works
A comprehensive insight of complex interplay of microbiota in pulmonary diseases
Yu, J., Li, P., Yu, Y., Ma, Y., Zuo, S., Chen, H., Guo, F., & Sun, Y. (2024) · Discover Medicine · doi:10.1007/s44337-024-00063-1 · Cited by 7 · see citing works
- Authors
- Bao, L., Zhang, C., Dong, J., Zhao, L., Li, Y., & Sun, J.
- Affiliations
- Sichuan University (CN)
- Corresponding author
- Li, Yan
- Sun, Jianxun
- Venue
- Frontiers in Microbiology
- Publisher
- Frontiers Media SA
- Published
- 2020-07-31
- Volume
- 11
- Pages
- 1840-1840
- ISSN
- 1664-302X (ISSN-L)
- PMC
- PMC7411080
- OpenAlex
- W3046848575
- Semantic Scholar
- f8ec3f6fc8eb2a92bc62f5f70482571f7a39a1b1
- Cited by
- 207
- References
- 158
- Citations by year
- 2026: 7 · 2025: 11 · 2024: 26 · 2023: 47 · 2022: 57 · 2021: 53 · 2020: 6
- FWCI
- 1.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Microbiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (81771085, 81700036, 81991502, 81970944)
- Topics
- Health Sciences › Dentistry › General Dentistry › Dental Research and COVID-19
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Keywords
- SARS-CoV-2, COVID-19 pandemic, oral microbiota, Capnocytophaga, Veillonella, lower respiratory tract infection, mechanical ventilation, poor oral hygiene, anaerobic bacteria, cytokines, T cell response, aging, oral care
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