The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index; 30 of the 58 sources its claims cite were checked for support.
Impact of untreated tannery wastewater in the evolution of multidrug-resistant bacteria in Bangladesh
Open accessAbstract
The tannery industry produces one of the worst contaminants, and unsafe disposal in nearby waterbodies and landfills has become an imminent threat to public health, especially when the resulting multidrug-resistant bacteria and heavy metals enter community settings and animal food chains. In this study, we have collected 10 tannery wastewater (TWW) samples and 10 additional non-tannery wastewater (NTW) samples to compare the chemical oxygen demand (COD), pH, biological oxygen demand (BOD), dissolved oxygen (DO), total dissolved solids (TDS), chromium concentration, bacterial load, and antibiotic resistance profiles. While COD, pH, and chromium concentration data were previously published from our lab, this part of the study uncovers that TWW samples had a significantly higher bacterial load, compared to the non-tannery wastewater samples (5.89 × 10 4 and 9.38 × 10 3 cfu/mL, respectively), higher BOD and TDS values, and significantly lower DO values. The results showed that 53.4, 46.7, 40.0, and 40.0% of the TWW isolates were resistant to ceftriaxone, erythromycin, nalidixic acid, and azithromycin, respectively. On the other hand, 20.0, 30.0, 50.0, and 40.0% of the NTW isolates were resistant to the same antibiotics, respectively. These findings suggest that the TWW isolates were more resistant to antibiotics than the NTW isolates. Moreover, the TWW isolates exhibited higher multidrug resistance than the NTW isolates, 33.33, and 20.00%, respectively. Furthermore, spearman correlation analysis depicts that there is a negative correlation between BOD and bacterial load up to a certain level ( r = − 0.7749, p = 0.0085). In addition, there is also a consistent negative correlation between COD and bacterial load ( r = − 0.7112, p = 0.0252) and TDS and bacterial load ( r = − 0.7621, p = 0.0104). These findings suggest that TWW could pose a significant risk to public health and the environment and highlight the importance of proper wastewater treatment in tannery industries.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
Untreated tannery wastewater in Hazaribagh, Dhaka had higher bacterial loads and more antibiotic-resistant and multidrug-resistant bacteria than non-tannery wastewater. The authors conclude TWW may promote AMR dissemination and poses a public-health and environmental risk.
Key findings
- TWW had a higher bacterial load than NTW: 5.89 × 10⁴ vs 9.38 × 10³ cfu/mL. TWW also had higher BOD (mean 494.5 vs 6.4 mg/L), TDS (1.1 × 10⁴ vs 1.5 × 10² mg/L), chromium (3.83 vs 0.0026 mg/L), and lower DO (0.82 vs 8.7 mg/L).
- TWW isolates were resistant to ceftriaxone (53.4%), erythromycin (46.7%), nalidixic acid (40.0%), and azithromycin (40.0%); NTW isolates were resistant to the same antibiotics at 20.0%, 30.0%, 50.0%, and 40.0%, respectively.
- Multidrug resistance was higher in TWW isolates: 33.33% vs 20.00% in NTW. Also, 6.67% of TWW isolates were extensively drug-resistant (resistant to 5 of 6 antibiotic classes), while no NTW isolates were resistant to more than 4 classes.
- Bacterial load negatively correlated with BOD (Spearman r = −0.7749, p = 0.0085), COD (r = −0.7112, p = 0.0252), and TDS (r = −0.7621, p = 0.0104); chromium showed a moderate negative correlation (r = −0.5879, p = 0.0806), and DO showed a weak positive correlation (r = 0.3892, p = 0.2663).
Methods
- Collected 10 tannery wastewater samples from main drains of 10 Hazaribagh tanneries and 10 non-tannery wastewater controls from the Buriganga River and University of Dhaka area during monsoon season (June–September); 500 mL per sample.
- Measured physicochemical parameters (pH, chromium, COD, BOD, DO, TDS) and bacterial load by dilution plating; selected 15 TWW colonies by varied morphology and 10 NTW control isolates, then identified them via biochemical tests and 16S rRNA sequencing, primarily finding *Escherichia coli* and *Salmonella enterica*.
- Antibiotic susceptibility testing used the Kirby-Bauer disc diffusion method with 10 antibiotics from 6 classes, interpreted by CLSI-2022 and EUCAST-2022; MDR was defined as resistance to ≥3 antibiotic classes. Spearman rank correlation was performed in R, with graphs generated in GraphPad Prism v8.
Limitations
- Not stated in the paper. Evident from the text: small sample and isolate numbers (10 TWW and 10 NTW samples; 15 TWW and 10 NTW isolates), sampling limited to one monsoon season and one geographic area, and reliance on previously published pH, COD, and chromium data from the same lab.
- Evident from the text: correlations are observational and cannot establish causation; reported bacterial load appears inconsistent (abstract reports 5.89 × 10⁴ cfu/mL for TWW, while Table 1 mean is 33.2 × 10³ cfu/mL), and kanamycin is described both as fully sensitive and later among resistance percentages, leaving some resistance estimates unclear.
Model-written summary. Check it against the paper before relying on it.
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Verification
Claims the paper makes
30 of 58 cited sources checked · 4 supported · 1 flagged · accuracy not yet measured
- Premisecitation
The absence of bioaccumulation of chromium in aquatic flora, fauna, and microorganisms implies that elevated levels of chromium in the environment can have a severe toxic impact on affected plants and animals.
“The absence of bioaccumulation of chromium in aquatic flora, fauna, and microorganisms implies that elevated levels of chromium in the environment can have a severe toxic impact on the affected plants and animals54.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [54] Sharma, P. et al. Health hazards of hexavalent chromium (Cr (VI)) and its microbial reduction. Bioengineered 13(3), 4923–4938 (2022). source
The Microbial remediation section directly contradicts the claimed absence of bioaccumulation: it describes microorganisms accumulating Cr(VI). The Hexavalent chromium effect on plant health section supports toxicity to plants, but not the claim’s premise that an absence of bioaccumulation implies that toxicity. Page numbers were not available in our copy. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
Pollution with heavy metals such as chromium, lead, cadmium, and mercury is well-documented to induce antibiotic resistance through co-selection.
“Moreover, pollution with heavy metals such as chromium, lead, cadmium, and mercury is well-documented to induce antibiotic resistance through co-selection10–12.”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [10] Gupta, S. et al. Heavy metal and antibiotic resistance in four Indian and UK rivers with different levels and types of water pollution. Sci. Total Environ. 857(Pt 1), 159059 (2023). source
- cites [11] Chen, S. et al. Heavy metal induced antibiotic resistance in bacterium LSJC7. Int. J. Mol. Sci. 16(10), 23390–23404 (2015). source
The Introduction (page unavailable) describes heavy-metal contamination contributing to antibiotic resistance and reports that cadmium increased resistance in microcosms. But the paper's own antibiotic-resistance findings concern arsenate, copper, and zinc; our copy does not establish that chromium, lead, or mercury induce antibiotic resistance through co-selection. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [12] Seiler, C. & Berendonk, T. U. Heavy metal driven co-selection of antibiotic resistance in soil and water bodies impacted by agriculture and aquaculture. Front. Microbiol. 3, 399 (2012). source
The Risk assessment section reports evidence of chromium-driven co-selection in soil and says lead concentrations in some waters may drive co-selection. The Conclusion identifies cadmium and mercury as potential co-selecting factors, but the paper conditions this on environmental concentrations and notes conflicting findings for mercury. Thus, it supports the general mechanism and examples, not the unqualified assertion that pollution with all four metals is well-documented to induce antibiotic resistance. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Premisereasoning
Chromium concentration is notably higher in TWW than in NTW, at 3.83 mg/L versus 0.0026 mg/L.
“Chromium concentration is notably higher in TWW (3.83 mg/L) compared to NTW (0.0026 mg/L), likely due to the use of chromium in tanning processes.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [13] Islam, L. et al. Assessment of physicochemical and biochemical qualities of tannery effluents of Hazaribagh, Dhaka, and comparison with non-tannery water samples. Int. J. Environ. 4, 68–81 (2015). source
The “Levels of chromium in the study water samples” section reports significantly higher chromium in tannery wastewater than in non-tannery water (p = 0.014). It does not report the claimed values of 3.83 mg/L and 0.0026 mg/L; the Discussion instead gives a mean of 4.9 mg/L for 14 tannery samples. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premiseown data
Chemical oxygen demand (COD) in TWW is substantially higher than in NTW, at 1.4 × 10^3 mg/L versus 5.0 × 10 mg/L.
“The Chemical Oxygen Demand (COD) in TWW (1.4 × 103 mg/L) was found to be substantially higher than in NTW (5.0 × 10 mg/L), indicating a significant organic pollutant load in tannery effluents.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [13] Islam, L. et al. Assessment of physicochemical and biochemical qualities of tannery effluents of Hazaribagh, Dhaka, and comparison with non-tannery water samples. Int. J. Environ. 4, 68–81 (2015). source
The ‘Levels of chemical oxygen demand’ section reports significantly higher COD in tannery wastewater than in non-tannery water (p = 0.012). However, Table 2, reproduced in the ‘pH of the study water samples’ section, gives mean COD values of 1655.7 and 45.0 mg/L, not the cited 1400 and 50 mg/L. No page number is available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Chromium in TWW along with other toxic compounds and higher COD has created an environmental pressure causing naturally present bacteria in the water to develop resistance to various commonly used antibiotics.
“It has been suggested that chromium in TWW along with other toxic compounds and higher COD has created an environmental pressure causing naturally present bacteria in the water to develop resistance to various commonly used antibiotics62.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [62] Larsson, D. G. J. & Flach, C.-F. Antibiotic resistance in the environment. Nat. Rev. Microbiol. 20(5), 257–269 (2022). source
The “Pollution as a driver” section says metals can co-select for antibiotic-resistant strains, supporting the general proposed mechanism. It does not identify chromium in TWW, other toxic compounds, or higher COD as the cause of resistance in bacteria in that water; it also cautions that evidence of selection in wastewater can be difficult to establish. Page numbers were not supplied in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Increased microbial presence may contribute to an elevated probability of antibiotic resistance emergence, as a larger number of bacteria are exposed to potential antibiotic remnants and conditions that induce resistance in the wastewater.
“This increased microbial presence may contribute to an elevated probability of antibiotic resistance emergence22, as a larger number of bacteria are exposed to potential antibiotic remnants and conditions that induce resistance in the wastewater.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [22] Munita, J. M. & Arias, C. A. Mechanisms of antibiotic resistance. Microbiol. Spectr. https://doi.org/10.1128/microbiolspec.VMBF-0016-2015 (2016). source
The Genetic Basis of Antimicrobial Resistance section describes bacterial adaptation to antibiotics through mutation and horizontal gene transfer, and its Mutational Resistance subsection explains how antibiotic exposure selects resistant cells (page unavailable). The paper does not establish that a larger bacterial population increases the probability of resistance emerging, or address antibiotic remnants in wastewater. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
Oxygen-deficient setting could exert selective pressure on bacteria to develop survival mechanisms, indirectly influencing the development of antibiotic resistance.
“This oxygen-deficient setting could exert selective pressure on bacteria to develop survival mechanisms22,66, indirectly influencing the development of antibiotic resistance.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [22] Munita, J. M. & Arias, C. A. Mechanisms of antibiotic resistance. Microbiol. Spectr. https://doi.org/10.1128/microbiolspec.VMBF-0016-2015 (2016). source
The section ‘Resistance Due to Global Cell Adaptations’ (page unavailable) says bacteria develop survival mechanisms in response to environmental stressors and describes some antibiotic resistance as an adaptive response. It does not identify oxygen deficiency as a selective pressure or link oxygen-deficient conditions to antibiotic resistance. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [66] Lei, Z. et al. Partial-nitritation of low-strength anaerobic effluent: A moderate-high dissolved oxygen concentration facilitates ammonia-oxidizing bacteria disinhibition and nitrite-oxidizing bacteria suppression. Sci. Total Environ. 770, 145337 (2021). source
- Premisecitation
Elevated TDS values may suggest the existence of various dissolved substances, including organic and inorganic matters and potential antibiotic remnants or their byproducts.
“Elevated TDS values may suggest the existence of various dissolved substances, including organic and inorganic matters and potential antibiotic remnants or their byproducts68.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [68] Adjovu, G. E. et al. Measurement of total dissolved solids and total suspended solids in water systems: A review of the issues, conventional, and remote sensing techniques. Remote Sens. 15, 3534 (2023). source
The Introduction describes TDS as dissolved constituents and says it can originate from natural sources, runoff, industrial waste, and water-treatment chemicals; §4.1.1 also discusses dissolved minerals as TDS constituents. These passages support the general point that elevated TDS reflects dissolved substances, but the paper does not connect elevated TDS to antibiotic remnants or their byproducts (searched: antibiotic, pharmaceutical contaminants, byproducts). (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Findingown data
All 15 TWW isolates exhibited absolute sensitivities to gentamycin and kanamycin.
“All the 15 TWW isolates exhibited absolute sensitivities to Gentamycin and Kanamycin (Supplementary Table 2).”
Quote in the paperNot a substantial claim - Findingown data
The primary bacterial strains identified through 16S rRNA sequencing were Escherichia coli and Salmonella enterica.
“The primary bacterial strains identified through 16S rRNA sequencing were Escherichia coli and Salmonella enterica (Table 2).”
Quote in the paperNot a substantial claim - Findingown data
None of the isolates from either TWW or NTW showed resistance against gentamycin.
“Interestingly, none of the isolates from either source showed any resistance against gentamycin (CN).”
Quote in the paperNot a substantial claim - Findingown data
Resistance against both protein synthesis inhibitor and β-lactam among TWW isolates was more than double (26.67%) the resistance among NTW isolates (10%).
“Resistance against both protein synthesis inhibitor and β-lactam among the TWW isolates was more than double (26.67%) the resistance among the NTW isolates (10%).”
Quote in the paperSubstantial claim - Findingown data
There is a consistent negative correlation between COD and bacterial load in TWW (Spearman r = −0.7112, p = 0.0252).
“there is also a consistent negative correlation between COD and bacterial load (r = − 0.7112, p = 0.0252)”
- Also stated in: § Association of bacterial load with COD, BOD, TDS, DO, and chromium level · boosted
“strong negative correlation (Spearman r = − 0.7112, p = 0.0252) between COD and bacterial load”
Quote in the paperNot a substantial claim - Also stated in: § Association of bacterial load with COD, BOD, TDS, DO, and chromium level · boosted
- Findingown data
The resistance pattern of NTW isolates for erythromycin (30% resistant), azithromycin (40% resistant), and nalidixic acid (50% resistant) resembles that of TWW isolates.
“The resistance pattern in NTW isolates for erythromycin (30% resistant), azithromycin (40% resistant), and nalidixic acid (50% resistant) resemble that of TWW isolates.”
Quote in the paperNot a substantial claim - Findingown data
DO level shows a weak positive correlation with bacterial load in TWW (Spearman r = 0.3892, p = 0.2663).
“dissolved oxygen (DO) level shows a weak positive correlation (Spearman r = 0.3892, p = 0.2663) with bacterial load”
Quote in the paperNot a substantial claim - Findingown data
Chromium concentration exhibited a moderate negative correlation with bacterial load in TWW (Spearman r = −0.5879, p = 0.0806).
“Chromium concentration exhibited a moderate negative correlation (Spearman r = − 0.5879, p = 0.0806) with bacterial load”
Quote in the paperNot a substantial claim - Findingown data
Resistance in TWW isolates was always worse than in NTW isolates across multiple classes of antibiotics.
“Figure 5C compares bacterial resistance to multiple classes of antibiotics, where resistance in TWW isolates was always worse than in NTW isolates.”
Quote in the paperSubstantial claim - Findingown data
20.0% of NTW isolates were resistant to ceftriaxone.
“20.0, 30.0, 50.0, and 40.0% of the NTW isolates were resistant to the same antibiotics, respectively.”
Quote in the paperSubstantial claim - Findingown data
40.0% of TWW isolates were resistant to azithromycin.
“53.4, 46.7, 40.0, and 40.0% of the TWW isolates were resistant to ceftriaxone, erythromycin, nalidixic acid, and azithromycin, respectively.”
Quote in the paperNot a substantial claim - Findingown data
TWW isolates were constantly multiple drug-resistant compared to NTW isolates.
“The comparative analysis reveals that TWW isolates were constantly multiple drug-resistant compared to NTW.”
Quote in the paperSubstantial claim - Findingown data
TWW samples had higher TDS values than NTW samples.
“Total Dissolved Solids (TDS) in TWW (1.1 × 104 mg/L) far exceed those in NTW (1.5 × 102 mg/L)”
Quote in the paperNot a substantial claim - Findingown data
TWW isolates exhibited higher multidrug resistance than NTW isolates, at 33.33% versus 20.00%.
“Moreover, the TWW isolates exhibited higher multidrug resistance than the NTW isolates, 33.33, and 20.00%, respectively.”
Quote in the paperSubstantial claim - Findingown data
53.4% of TWW isolates were resistant to ceftriaxone.
“53.4, 46.7, 40.0, and 40.0% of the TWW isolates were resistant to ceftriaxone, erythromycin, nalidixic acid, and azithromycin, respectively.”
Quote in the paperSubstantial claim - Findingown data
Tannery wastewater (TWW) samples had a significantly higher bacterial load than non-tannery wastewater (NTW) samples, with means of 5.89 × 10^4 and 9.38 × 10^3 cfu/mL, respectively.
“TWW samples had a significantly higher bacterial load, compared to the non-tannery wastewater samples (5.89 × 104 and 9.38 × 103 cfu/mL, respectively)”
- Also stated in: § Assessment of physicochemical properties and bacterial load in TWW and NTW · hedged
“TWW shows a substantially higher bacterial load (5.9 × 104 cfu/mL) compared to NTW (9.3 × 103 cfu/mL), suggesting increased microbial activity in tannery effluents”
Quote in the paperSubstantial claim - Also stated in: § Assessment of physicochemical properties and bacterial load in TWW and NTW · hedged
- Findingown data
Resistance to cephalosporins was considerably higher among TWW isolates (53.33%) than NTW isolates (20%).
“Resistance to cephalosporins was considerably higher among TWW isolates (53.33%) than in NTW isolates (20%).”
Quote in the paperSubstantial claim - Findingown data
40.0% of TWW isolates were resistant to nalidixic acid.
“53.4, 46.7, 40.0, and 40.0% of the TWW isolates were resistant to ceftriaxone, erythromycin, nalidixic acid, and azithromycin, respectively.”
Quote in the paperSubstantial claim - Findingown data
Except for nalidixic acid, kanamycin, and ciprofloxacin, the other 7 antibiotics were less effective against TWW isolates than NTW isolates.
“Except for nalidixic acid, kanamycin, and ciprofloxacin, the other 7 antibiotics were found to be less effective against TWW isolates compared to their efficiency against NTW isolates (Fig. 4C).”
Quote in the paperSubstantial claim - Findingown data
Ceftriaxone was significantly more effective against NTW isolates (20% resistant) than TWW isolates (53.4% resistant).
“ceftriaxone was found to be significantly more effective against NTW isolates (20% resistant) compared to TWW isolates (53.4% resistant) (Fig. 4B).”
Quote in the paperSubstantial claim - Findingown data
46.7% of TWW isolates were resistant to erythromycin.
“53.4, 46.7, 40.0, and 40.0% of the TWW isolates were resistant to ceftriaxone, erythromycin, nalidixic acid, and azithromycin, respectively.”
Quote in the paperSubstantial claim - Findingown data
TWW samples had higher BOD values than NTW samples.
“Biological Oxygen Demand (BOD) showed a similar trend, with TWW exhibiting a much higher value (4.9 × 102 mg/L) compared to NTW (6.35 mg/L)”
Quote in the paperNot a substantial claim - Findingown data
NTW isolates were most resistant to quinolones.
“The NTW isolates were most resistant to quinolones.”
Quote in the paperNot a substantial claim - Findingown data
40.0% of NTW isolates were resistant to azithromycin.
“20.0, 30.0, 50.0, and 40.0% of the NTW isolates were resistant to the same antibiotics, respectively.”
Quote in the paperNot a substantial claim - Findingcitation
All 10 selected sites had a thousand times higher concentration of environmental chromium than the safe concentration of 0.1 mg/L.
“All of these sites had a thousand times higher concentration of environmental chromium than the safe concentration, which was reported to be 0.1 mg/L in the environment5.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] Prasad, S. et al. Chromium contamination and effect on environmental health and its remediation: A sustainable approaches. J. Environ. Manag. 285, 112174 (2021). source
- Findingown data
There is a negative correlation between TDS and bacterial load in TWW (Spearman r = −0.7621, p = 0.0104).
“TDS and bacterial load (r = − 0.7621, p = 0.0104)”
- Also stated in: § Association of bacterial load with COD, BOD, TDS, DO, and chromium level · boosted
“TDS showed a strong negative correlation (Spearman r = − 0.7621, p = 0.0104) with bacterial load”
Quote in the paperNot a substantial claim - Also stated in: § Association of bacterial load with COD, BOD, TDS, DO, and chromium level · boosted
- Findingown data
There is a negative correlation between BOD and bacterial load in TWW up to a certain level (Spearman r = −0.7749, p = 0.0085).
“spearman correlation analysis depicts that there is a negative correlation between BOD and bacterial load up to a certain level (r = − 0.7749, p = 0.0085).”
- Also stated in: § Association of bacterial load with COD, BOD, TDS, DO, and chromium level · boosted
“A strong negative correlation (Spearman r = − 0.7749, p = 0.0085) was observed between BOD and bacterial load”
Quote in the paperNot a substantial claim - Also stated in: § Association of bacterial load with COD, BOD, TDS, DO, and chromium level · boosted
- Findingown data
The chromium concentration in wastewater disposed by one particular Leather industry close to the river Buriganga was 1.85 × 10 mg/L.
“The chromium concentration in the wastewater disposed of by one particular Leather industry which was very close to the river Buriganga was found to be 1.85 × 10 mg/L.”
Quote in the paperNot a substantial claim - Findingown data
Bacterial load had a positive but insignificant correlation with COD level in NTW samples (r = 0.2092, p = 0.5611).
“The bacterial load had a positive but insignificant correlation with the COD level in NTW samples (r = 0.2092, p = 0.5611)”
Quote in the paperNot a substantial claim - Findingown data
50.0% of NTW isolates were resistant to nalidixic acid.
“20.0, 30.0, 50.0, and 40.0% of the NTW isolates were resistant to the same antibiotics, respectively.”
Quote in the paperNot a substantial claim - Findingown data
30.0% of NTW isolates were resistant to erythromycin.
“20.0, 30.0, 50.0, and 40.0% of the NTW isolates were resistant to the same antibiotics, respectively.”
Quote in the paperNot a substantial claim - Findingown data
With the exception of a few TWW samples and a solitary NTW sample, all TWW and NTW wastewater exhibited a pH range between 7.4 and 8.34, which is optimal for bacterial proliferation.
“It is noteworthy to highlight that with the exception of a few samples of TWW and a solitary NTW sample, all instances of TWW and NTW wastewater exhibited a pH range between 7.4 and 8.34, which is optimal for bacterial proliferation.”
Quote in the paperNot a substantial claim - Findingown data
TWW isolates showed significantly higher resistance against β-lactam, protein synthesis inhibitors, and cephalosporins compared to NTW isolates.
“This has already occurred in TWW as was shown in Fig. 4A and B, where it was obvious that the TWW isolates showed significantly higher resistance against β-lactam, protein synthesis inhibitors, and cephalosporins compared to those of the NTW isolates.”
Quote in the paperSubstantial claim - Findingown data
The findings illustrate a marked increase in average BOD levels in TWW compared to NTW.
“The findings of this study illustrate a marked increase in average BOD levels in TWW compared to NTW.”
Quote in the paperSubstantial claim - Findingnone given
The bacterial load in TWW was over 500% greater than that of NTW.
“However, the bacterial load in TWW was over 500% greater than that of NTW, indicating bacteria are able to evade harsh conditions and carry antibiotic resistance mechanisms, and pose a significant risk to public health once they contaminate the community setting.”
Quote in the paperSubstantial claim - Findingnone given
Levels of dissolved oxygen (DO) are conspicuously lower in TWW than in NTW.
“It is noteworthy that the levels of dissolved oxygen (DO) are conspicuously lower in TWW than in NTW.”
Quote in the paperSubstantial claim - Findingreasoning
TWW isolates were substantially more resistant to cephalosporins, β-lactams, macrolides, and protein synthesis inhibitors.
“TWW isolates were substantially more resistant to cephalosporins, β-lactams, macrolides, and protein synthesis inhibitors.”
Quote in the paperSubstantial claim - Findingown data
The data indicates significantly higher Total Dissolved Solids (TDS) levels in TWW.
“The data also indicates significantly higher Total Dissolved Solids (TDS) levels in TWW.”
Quote in the paperNot a substantial claim - Findingcitation
The concentration of chromium in tannery effluent determined in our study (0.002 mg/L to 1.85 × 10 mg/L) was significantly lower than that of another study (5.25 × 10 mg/L to 3.74 × 102 mg/L) conducted in the same tannery industrial area but different tanneries.
“However, the concentration of chromium in tannery effluent determined in our study was significantly lower (ranging from 0.002 mg/L to 1.85 × 10 mg/L) than that of another study (ranging from 5.25 × 10 mg/L to 3.74 × 102 mg/L) conducted in the same tannery industrial area but comprised of different tanneries55.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [55] Asaduzzaman, M. et al. Impact of tannery effluents on the aquatic environment of the Buriganga River in Dhaka, Bangladesh. Toxicol. Ind. Health 32(6), 1106–1113 (2014). source
- Findingnone given
The mean chromium concentration in NTW samples was 0.002 mg/L.
“The mean chromium concentration in the NTW samples was 0.002 mg/L.”
Quote in the paperNot a substantial claim - Findingown data
Many isolates in our study were found to be intermediately sensitive (designated as "I" in Supplementary Table 2).
“Apart from a sheer number of multidrug-resistant isolates, many isolates in our study were found to be intermediately sensitive (designated as “I” in Supplementary Table 2), which has a high probability of being resistant to further stress caused by chromium and other contaminants in the TWW.”
Quote in the paperSubstantial claim - Interpretationown data
BOD may have a more direct impact on bacterial populations than COD in TWW.
“This relationship was slightly stronger than that of COD, indicating that the biodegradable organic matter (measured by BOD) may have a more direct impact on bacterial populations than the total organic content (measured by COD).”
Quote in the paperNot a substantial claim - Interpretationown data
Elevated COD levels significantly inhibited bacterial growth in TWW.
“However, the elevated COD level significantly inhibited the growth of bacteria in TWW, showing a strong negative correlation (Spearman r = − 0.7112, p = 0.0252) between COD and bacterial load.”
Quote in the paperNot a substantial claim - Interpretationown data
DO levels may not be a strong predictor of bacterial load in the TWW system.
“This relationship is not statistically significant, indicating that DO levels may not be a strong predictor of bacterial load in this TWW system.”
Quote in the paperNot a substantial claim - Interpretationown data
TWW isolates were more resistant to antibiotics than NTW isolates.
“These findings suggest that the TWW isolates were more resistant to antibiotics than the NTW isolates.”
- Also stated in: § Resistance profile of TWW and NTW isolates · plain
“A comparison of resistance prevalence in TWW and NTW isolates reveals that the overall resistance to most antibiotics was higher in TWW isolates than of NTW isolates (C).”
Quote in the paperSubstantial claim - Also stated in: § Resistance profile of TWW and NTW isolates · plain
- Interpretationcitation
The combined impact of elevated BOD and COD, decreased DO, and increased TDS in TWW could have substantial ecological implications if discharged into natural aquatic systems.
“The combined impact of elevated BOD and COD, decreased DO, and increased TDS in TWW could have substantial ecological implications if discharged into natural aquatic systems70.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [70] Dey, S. & Islam, A. A review on textile wastewater characterization in Bangladesh. Resour. Environ. 5, 15–44 (2015).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The water quality parameters revealed in this investigation indicate that TWW presents conditions that could potentially support the emergence and dissemination of antibiotic-resistant bacteria.
“The water quality parameters revealed in this investigation indicate that TWW presents conditions that could potentially support the emergence and dissemination of antibiotic-resistant bacteria.”
Quote in the paperSubstantial claim - Interpretationreasoning
These bacteria pose a significant risk to public health once they contaminate the community setting.
“However, the bacterial load in TWW was over 500% greater than that of NTW, indicating bacteria are able to evade harsh conditions and carry antibiotic resistance mechanisms, and pose a significant risk to public health once they contaminate the community setting.”
Quote in the paperSubstantial claim - Interpretationown data
These intermediately sensitive isolates have a high probability of being resistant to further stress caused by chromium and other contaminants in TWW.
“Apart from a sheer number of multidrug-resistant isolates, many isolates in our study were found to be intermediately sensitive (designated as “I” in Supplementary Table 2), which has a high probability of being resistant to further stress caused by chromium and other contaminants in the TWW.”
Quote in the paperSubstantial claim - Interpretationreasoning
Not all tanneries contribute to chromium contamination equally.
“This implied that not all tanneries contribute to chromium contamination equally, which was also observed in our collection sites.”
Quote in the paperNot a substantial claim - Interpretationreasoning
COD and chromium concentration are the two key factors that determine bacterial load.
“This observation implies two critical aspects. The COD and chromium concentration are the two key factors that determine bacterial load.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The lower bacterial load in NTW samples can be attributed to NTW sources being less contaminated by other wastes that provide bacterial nutrients.
“This can be attributed to the NTW sources being less contaminated by other wastes that provide bacterial nutrients.”
Quote in the paperNot a substantial claim - Interpretationcitation
The heightened antibiotic resistance in TWW compared to NTW may potentially be accounted for by chromium pressure.
“This may potentially account for the heightened antibiotics resistance in TWW in comparison to NTW.”
Quote in the paperSubstantial claim
- Probably not a substantial claim. 17
- It may state two separate claims as one. 38
- The quote only partly states this claim. 1
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationMultidrug resistance (MDR) is a rapidly growing public health concern in Bangladesh.
“Multidrug resistance (MDR) is a rapidly growing public health concern in Bangladesh16.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [16] Hoque, R. et al. Tackling antimicrobial resistance in Bangladesh: A scoping review of policy and practice in human, animal and environment sectors. PLoS One 15(1), e0227947 (2020). source
The Results (‘AMR situation in humans,’ Table 4; page unavailable) report multidrug-resistant S. typhi in Bangladesh, and the food and environment Results describe resistant bacteria as significant from a public-health perspective. The copy does not establish that multidrug resistance is growing rapidly across Bangladesh; its three-year hospital data describe resistance patterns as fluctuating. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationThe origin of antibiotic resistance is the process of natural selection and the innate capacity of bacteria to adapt and endure antimicrobial threats.
“The origin of antibiotic resistance is the process of natural selection and the innate capacity of bacteria to adapt and endure antimicrobial threats22.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [22] Munita, J. M. & Arias, C. A. Mechanisms of antibiotic resistance. Microbiol. Spectr. https://doi.org/10.1128/microbiolspec.VMBF-0016-2015 (2016). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationThe CDC states that as many as 30% of antibiotic prescriptions in outpatient environments are not needed.
“The Centers for Disease Control and Prevention (CDC) underline that as many as 30% of antibiotic prescriptions in outpatient environments are not needed23.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [23] Hersh, A. L. et al. Unnecessary antibiotic prescribing in US ambulatory care settings, 2010–2015. Clin. Infect. Dis. 72(1), 133–137 (2021). source
It may state two separate claims as one.
PremisecitationChromium is the most dominant heavy metal in tannery effluent, primarily due to its extensive use in the chrome tanning process, which is considered the most toxic to human health and the environment.
“Among these, the most dominant heavy metal in tannery effluent is chromium5, primarily as a result of its extensive use in the chrome tanning process, which is considered the most toxic to both human health and the environment1,3,5.”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [5] Prasad, S. et al. Chromium contamination and effect on environmental health and its remediation: A sustainable approaches. J. Environ. Manag. 285, 112174 (2021). source
- cites [1] Igiri, B. E. et al. Toxicity and bioremediation of heavy metals contaminated ecosystem from tannery wastewater: A review. J. Toxicol. 2018, 2568038 (2018). source
The Introduction identifies tannery wastewater as a source of heavy-metal contamination, and §3 describes chromium’s toxic effects on microorganisms (page numbers unavailable). The copy does not establish that chromium is the most dominant metal in tannery effluent, attribute that dominance to chrome tanning, or rank it as the most toxic to humans and the environment. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [3] Patel, N. et al. Environmental impact and treatment of tannery waste. In Water Pollution and Remediation: Organic Pollutants (eds Inamuddin et al.) 577–595 (Springer International Publishing, 2021). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationResistant bacteria can transfer from animals to humans through the food chain.
“Resistant bacteria have the capability to transfer from animals to humans through the food chain26.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [26] Hickman, R. A. et al. Exploring the antibiotic resistance burden in livestock, livestock handlers and their non-livestock handling contacts: A one health perspective. Front. Microbiol. 12, 651461 (2021). source
The Conclusion reports likely transmission of colistin resistance from pigs to handlers and then to non-livestock contacts. The Results also describe a possible transient bacterial transmission event between a pig and a human, but say extensive sharing of bacterial clones was not observed. Neither passage establishes transfer through the food chain; the study examined people in the farm environment. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationTannery industry waste is a complex mixture of organic and inorganic pollutants, resulting in pungent odor, high COD, high BOD, low dissolved oxygen, high dissolved salts, and high pH.
“Tannery industry waste is a complex mixture of organic and inorganic pollutants, resulting in a pungent odor, high COD, biological oxygen demand, low dissolved oxygen, high dissolved salts, and high pH levels1–3.”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [1] Igiri, B. E. et al. Toxicity and bioremediation of heavy metals contaminated ecosystem from tannery wastewater: A review. J. Toxicol. 2018, 2568038 (2018). source
The Introduction identifies tannery wastewater as a source of inorganic heavy metals, and §6.2 mentions organic pollutants in tannery effluent, supporting the broad description of mixed pollutants. The passages do not support the attributed pungent odor, high COD or BOD, low dissolved oxygen, high dissolved salts, or high pH; searches for those characteristics found no supporting passage. Page numbers were not available in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [2] Masood, F. & Malik, A. Environmental concerns of the tanning industry. In Environmental Deterioration and Human Health: Natural and Anthropogenic Determinants (eds Malik, A. et al.) 39–53 (Springer, 2014). source
- cites [3] Patel, N. et al. Environmental impact and treatment of tannery waste. In Water Pollution and Remediation: Organic Pollutants (eds Inamuddin et al.) 577–595 (Springer International Publishing, 2021). source
It may state two separate claims as one.
PremisecitationThe pH of TWW samples ranged from 3.93 to 8.36, with two samples highly acidic, while control water pH was mostly close to basic, ranging from 6.82 to 8.25.
“The pH of the TWW samples ranged from 3.93 to 8.36, two samples being highly acidic in nature (pH below 7.0), while the pH of the control water sample was mostly close to basic (ranging from 6.82 to 8.25)13.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [13] Islam, L. et al. Assessment of physicochemical and biochemical qualities of tannery effluents of Hazaribagh, Dhaka, and comparison with non-tannery water samples. Int. J. Environ. 4, 68–81 (2015). source
The “pH of the study water samples” section confirms that two tannery wastewater samples were highly acidic and that 12 of 13 non-tannery samples were basic. But it gives pH ranges of 3.93–8.51 for tannery wastewater and 6.7–8.39 for non-tannery water, not the ranges in the citing sentence. (LLM, conf=0.94)
Experimental — accuracy not yet measured
It may state two separate claims as one.
PremisecitationMost tanneries in Bangladesh do not have proper effluent treatment plants and release untreated wastewater into the river Buriganga and nearby landfills, causing serious environmental threats and being prominent sources of environmental chromium in Bangladesh.
“Most of these tanneries do not have proper effluent treatment plants (ETP) and release untreated wastewater into the river Buriganga and nearby landfills, causing serious threats to the environment and ecosystem, and are the most prominent sources of environmental chromium in Bangladesh, as indicated by a prior study by the researchers of this study13.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [13] Islam, L. et al. Assessment of physicochemical and biochemical qualities of tannery effluents of Hazaribagh, Dhaka, and comparison with non-tannery water samples. Int. J. Environ. 4, 68–81 (2015). source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
It may state two separate claims as one.
PremisecitationDischarge of untreated tannery wastewater containing bio-toxic heavy metals into the environment leads to toxicity in terrestrial and aquatic biosystems and poses risks to human health, including skin diseases, respiratory illnesses, and cancer.
“The discharge of untreated tannery wastewater containing these bio-toxic heavy metals into the environment, such as rivers and other waterbodies, therefore leads to toxicity in both terrestrial and aquatic biosystems, including those of agriculture, cattle, and poultry farming, which consequently poses risks to human health by threatening skin diseases, respiratory illnesses, and even cancer7–9.”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [7] Bari, M. L. et al. Potential human health risks of tannery waste-contaminated poultry feed. J. Health Pollut. 5(9), 68–77 (2015). source
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [8] Rastogi, S. K. et al. Occupational cancers in leather tanning industries: A short review. Indian J. Occup. Environ. Med. 11(1), 3–5 (2007). source
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [9] Dalju, I. et al. Occupational risk factors associated with respiratory symptoms among tannery workers in Mojo town, Southeast Ethiopia, 2018: A comparative cross-sectional study. Multidiscip. Respir. Med. 14(1), 27 (2019). source
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationThese water-borne diseases have a high mortality rate, especially for infants and children under 5 years of age (37%).
“These water-borne diseases have a high mortality rate, especially for infants and children under 5 years of age (37%)75–78.”
Quote in the paperNot a substantial claim2 of 4 sources checked- cites [75] Khan, A. I. et al. Epidemiology of cholera in Bangladesh: Findings from nationwide hospital-based surveillance, 2014–2018. Clin. Infect. Dis. 71(7), 1635–1642 (2020). source
- cites [76] Khan, A. I. et al. Outbreak of diarrheal diseases causes mortality in different geographical locations of Bangladesh during the 2021 COVID-19 era. Front. Public Health 11, 1103518 (2023). source
- cites [77] Sack, D. A. et al. Contrasting epidemiology of cholera in Bangladesh and Africa. J. Infect. Dis. 224(12 Suppl 2), S701-s709 (2021). source
The Abstract says severe cholera can cause death if not treated promptly, and the Ganges Delta section says young children have the highest rates of cholera. Those rates refer to cases, not deaths. The paper does not support a 37% mortality rate for children under five or extend that figure to water-borne diseases generally. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [78] Sarmin, M. et al. Predictor of death in diarrheal children under 5 years of age having severe sepsis in an urban critical care ward in Bangladesh. Glob. Pediatr. Health https://doi.org/10.1177/2333794X19862716 (2019). source
The Abstract reports that 70 of 191 children under 5 (37%) died. That figure applies to children with diarrhea and severe sepsis treated in a Dhaka hospital ICU, not to water-borne diseases generally or to infants and children under 5 as a whole. (LLM, conf=0.89)
Experimental — accuracy not yet measured
It may state two separate claims as one.
PremisecitationThese bacteria may transfer their resistance genes through horizontal transmission and allow the development of superbugs and pathogenic bacteria resistant to the most widely used antibiotics.
“These bacteria may transfer their resistance genes through horizontal transmission and allow the development of superbugs and pathogenic bacteria that are resistant to the most widely used antibiotics63,64.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [63] Tao, S. et al. The spread of antibiotic resistance genes in vivo model. Can. J. Infect. Dis. Med. Microbiol. 2022, 3348695 (2022). source
- cites [64] Dimitriu, T. Evolution of horizontal transmission in antimicrobial resistance plasmids. Microbiology https://doi.org/10.1099/mic.0.001214 (2022). source
The Abstract (no page given) says mobile genetic elements spread antimicrobial resistance horizontally between bacterial lineages and that this can increase infections by resistant bacteria and contribute to pathogen epidemics. It does not specify resistance to the most widely used antibiotics or describe the development of “superbugs.” (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim.
PremisecitationRecent studies have highlighted the effect of elevated levels of heavy metals, especially chromium, on co-selection with antibiotic resilience.
“Recent studies have highlighted the effect of elevated levels of heavy metals, especially chromium, on the co-selection with antibiotic resilience56–58.”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [56] Zhang, K. et al. Effect of chromium and copper stress on antibiotic resistance genes transfer and associated metabolic mechanism in electrochemical system treating sulfanilamide wastewater. J. Environ. Chem. Eng. 11(1), 109122 (2023). source
- cites [57] Edet, U. O., Bassey, I. U. & Joseph, A. P. Heavy metal co-resistance with antibiotics amongst bacteria isolates from an open dumpsite soil. Heliyon 9(2), e13457 (2023). source
The Discussion (page unavailable) says that accumulated heavy metals can trigger co-selection with antibiotic resistance. The Results report elevated chromium in one dumpsite sample and chromium tolerance among multidrug-resistant isolates at some tested concentrations, but do not establish that elevated chromium in particular caused co-selection; at the highest tested concentration, all isolates were sensitive to chromium. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [58] Mahmud, J. et al. Co-resistance to chromium and antibiotics in bacteria isolated from tannery wastes. Dhaka Univ. J. Pharm. Sci. 14, 193–197 (2015). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationMultidrug-resistant bacteria have previously been associated with severe human illnesses like cholera, diarrhea, and other water-borne diseases in the Bangladeshi population.
“Multidrug-resistant bacteria have previously been associated with severe human illnesses like cholera, diarrhea, and other water-borne diseases in the Bangladeshi population18,71–74.”
Quote in the paperNot a substantial claim3 of 5 sources checked- cites [18] Mahmud, Z. et al. Virotyping, genotyping, and molecular characterization of multidrug resistant Escherichia coli isolated from diarrheal patients of Bangladesh. Gene Rep. 23, 101182 (2021). source
- cites [71] Garbern, S. C. et al. Multidrug-resistant enteric pathogens in older children and adults with diarrhea in Bangladesh: Epidemiology and risk factors. Trop. Med. Health 49(1), 34 (2021). source
The Results report multidrug resistance in enteric pathogens isolated from patients with diarrhea in Dhaka, including Vibrio cholerae. The Discussion links multidrug-resistant infections to greater stool frequency, a marker of more severe illness, and reports prior Bangladeshi findings for shigellosis and V. cholerae. The paper does not establish the broader claim about other water-borne diseases. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [72] Garbern, S. C. et al. Clinical and socio-environmental determinants of multidrug-resistant vibrio cholerae 01 in older children and adults in Bangladesh. Int. J. Infect. Dis. 105, 436–441 (2021). source
The Results and Discussion (page not available in our copy) report multidrug-resistant V. cholerae O1 in Bangladeshi patients with acute diarrhea and associate it with greater stool frequency and lower blood pressure. The paper supports the cholera and diarrhea examples, but it does not establish an association between multidrug-resistant bacteria and other water-borne diseases in Bangladesh. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [73] Jain, P. et al. High prevalence of multiple antibiotic resistance in clinical E. coli isolates from Bangladesh and prediction of molecular resistance determinants using WGS of an XDR isolate. Sci. Rep. 11(1), 22859 (2021). source
The Introduction (page unavailable) identifies E. coli as a cause of enteric infections in Bangladesh and links its clinical threat to antibiotic resistance. The Discussion (page unavailable) reports multidrug-resistant E. coli in clinical settings and drinking water. The paper does not specifically associate resistant bacteria with cholera or establish that its clinical isolates caused the listed water-borne diseases. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [74] Mahmud, Z. et al. Unveiling the spectrum of antibiotic resistance and virulence genes in Escherichia coli: A comparative study of clinical and environmental isolates. Gene Rep. 36, 101987 (2024). source
It may state two separate claims as one.
PremisecitationIncreased TDS concentrations might offer more nutrients for bacterial proliferation, potentially leading to an augmented bacterial population.
“Increased TDS concentrations might offer more nutrients for bacterial proliferation69, potentially leading to an augmented bacterial population as depicted in Fig. 2F.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [69] Foladori, P., Petrini, S. & Andreottola, G. How suspended solids concentration affects nitrification rate in microalgal-bacterial photobioreactors without external aeration. Heliyon 6(1), e03088 (2020). source
The Analytical methods section says the study measured total suspended solids (TSS), not total dissolved solids (TDS). The Results and discussion section links nitrifying biomass to the influent nitrogen load, but does not address whether increased TDS supplies nutrients that promote bacterial proliferation. I searched for TDS and for nutrient availability as a driver of bacterial growth. (LLM, conf=0.76)
Experimental — accuracy not yet measured
It may state two separate claims as one.
Findingown dataNTW isolates showed sensitivity to tetracycline (90%), chloramphenicol (80%), gentamycin (90%), and kanamycin (60%).
“the NTW isolates showed great sensitivity towards four antibiotics—tetracycline, chloramphenicol, gentamycin, and kanamycin with 90, 80, 90, and 60% being sensitive, respectively.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataThe difference in resistance is most notable for ceftriaxone and erythromycin, with TWW isolates showing higher resistance than NTW isolates.
“The difference in resistance is most notable for ceftriaxone (CRO) and erythromycin (E), where TWW isolates showed alarming higher resistance than NTW isolates.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataTWW samples had significantly lower dissolved oxygen (DO) values than NTW samples.
“NTW shows higher DO levels (8.7 mg/L) compared to TWW (0.82 mg/L), suggesting potential hypoxic conditions in tannery effluents.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataBacterial isolates from control and experimental wastewaters showed similar resistance toward quinolones, 40% among TWW and 50% among NTW isolates.
“Bacterial isolates both from the control and experimental wastewaters showed similar resistance toward quinolones, 40% among TWW and 50% among NTW isolates (Fig. 5A, B).”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataAmong TWW isolates, 33.33% were resistant to at least three different classes of antimicrobial, making them MDR, much higher than NTW isolates, 20% of which were MDR.
“Among the TWW isolates, 33.33% were resistant to at least three different classes of antimicrobial, making them multidrug-resistant (MDR), much higher than the NTW isolates, 20% of which were MDR.”
- Also stated in: § Conclusions and recommendations · plain
“Additionally, 33.33% of the TWW isolates were MDR, compared to 20.00% of the NTW isolates.”
Quote in the paperSubstantial claim- Also stated in: § Conclusions and recommendations · plain
It may state two separate claims as one.
Findingown dataNo isolates were resistant to more than 4 classes of antibiotics in control wastewater, while 6.67% of TWW isolates were XDR, showing resistance against 5 out of 6 antibiotic classes.
“While no isolates were resistant to more than 4 classes of antibiotics in control wastewater, 6.67% of the TWW isolates were extensively drug-resistant (XDR), since they showed resistance against 5 out of 6 antibiotic classes.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataAbout 47% of TWW isolates were resistant to macrolides, whereas 40% of NTW isolates were resistant to macrolides.
“About 47% of the TWW isolates were resistant to macrolides, whereas a slightly lower, 40% of the NTW isolates had conferred resistance against the macrolide group of antibiotics.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataAminoglycosides (gentamycin and kanamycin) were extremely effective against both TWW and NTW isolates, with 0% and 10% resistant isolates respectively.
“The aminoglycosides, namely gentamycin and kanamycin were extremely effective against both TWW and NTW isolates, with no resistant isolates (0%) and 10% resistant isolates respectively.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown dataAminoglycosides and cephalosporins were the most and least sensitive antimicrobial classes against TWW isolates.
“Aminoglycosides and cephalosporins were the most and least sensitive antimicrobial classes against TWW isolates.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Findingown data20% of TWW isolates had developed resistance against at least 4 classes of antibiotics, and the corresponding value in NTW isolates was 10%.
“20% of the isolates in TWW had developed resistance against at least 4 classes of antibiotics, and the corresponding value in the NTW isolates was 10%.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataThe resistance profile of bacteria isolated from the tannery industry area shows markedly high multidrug resistance and antibiotic resistance in general.
“This is evident in the resistance profile of the bacteria isolated from the tannery industry area, with markedly high multidrug resistance and antibiotic resistance in general.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
FindingreasoningDespite pH, COD, and chromium concentration being favorable for microbial growth, bacterial load in NTW samples was considerably lower than in TWW samples.
“Despite the evidence that the pH, COD values, and chromium concentration are favorable for microbial growth, the bacterial load observed in the NTW samples was considerably lower than that of the TWW samples.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataMost bacterial isolates from NTW showed moderate sensitivity to commonly used antibiotics, whereas bacterial isolates from TWW showed resistance to an increased number of antibiotics.
“Most bacterial isolates from the NTW showed moderate sensitivity to commonly used antibiotics whereas bacterial isolates from the TWW showed resistance to an increased number of antibiotics.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Findingown dataA few isolates were resistant to 5 out of 6 classes of antibiotics, making them XDR, which is more concerning than MDR.
“A few isolates have been found to be resistant to 5 classes of antibiotics out of 6 classes, making them extensively drug-resistant (XDR), which is even more concerning than those of MDR (Fig. 5).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
InterpretationreasoningHigher chromium levels are associated with lower bacterial populations in TWW, likely due to toxic effects of chromium on microorganisms.
“While the relationship was not as strong as the other parameters, it still indicates a trend where higher chromium levels are associated with lower bacterial populations, likely due to the toxic effects of chromium on microorganisms.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationEnvironmental stress can cause resistance development in bacteria.
“Additionally, environmental stress can cause resistance development in bacteria25.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [25] Wu, S. et al. Effects of acid, alkaline, cold, and heat environmental stresses on the antibiotic resistance of the Salmonella enterica serovar Typhimurium. Food Res. Int. 144, 110359 (2021). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationAntibiotics used in farming to enhance livestock growth are a significant factor contributing to antibiotic resistance.
“Furthermore, antibiotics used in farming to enhance livestock growth are a significant factor contributing to antibiotic resistance24.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Reardon, S. Antibiotic use in farming set to soar despite drug-resistance fears. Nature 614(7948), 397 (2023). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenAll measurements were performed in triplicate to ensure reliability and reproducibility of results.
“All measurements were performed in triplicate to ensure reliability and reproducibility of results.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
PremisecitationOver 200 chemicals are used during the tanning process, leading to a complex mixture of toxic substances such as chromium, polychlorinated biphenyl, sulfides, nitrates, and other harmful compounds discharged as waste.
“Over 200 chemicals are used during the tanning process, leading to a complex mixture of toxic substances such as chromium, polychlorinated biphenyl, sulfides, nitrates, and other harmful compounds discharged as waste4.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [4] Morera, J. et al. Avoiding the production of polluting and toxic chemicals in the tanning process. J. Am. Leather Chem. Assoc. https://doi.org/10.34314/jalca.v116i10.4617 (2021). source
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Study design and conductnone givenStandard quality control procedures, including the use of blanks and standard solutions, were implemented throughout the analytical process to maintain accuracy and precision.
“Standard quality control procedures, including the use of blanks and standard solutions, were implemented throughout the analytical process to maintain accuracy and precision.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
PremisecitationToxicity in humans can manifest as cutaneous lesions or rashes, as well as renal and hepatic impairment.
“Toxicity in humans can manifest as cutaneous lesions or rashes, as well as renal and hepatic impairment54.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54] Sharma, P. et al. Health hazards of hexavalent chromium (Cr (VI)) and its microbial reduction. Bioengineered 13(3), 4923–4938 (2022). source
Checked before — its earlier verdict is held back until a new check runs.
It may state two separate claims as one.
Interpretationown dataTWW could pose a significant risk to public health and the environment.
“These findings suggest that TWW could pose a significant risk to public health and the environment and highlight the importance of proper wastewater treatment in tannery industries.”
Quote in the paperSubstantial claim- Rests on an assumption: The TWW and NTW samples collected are representative of tannery wastewater and non-tannery wastewater in Bangladesh.
- Rests on an assumption: The selected bacterial isolates are representative of the bacterial populations in TWW and NTW.
It may state two separate claims as one.
PremisecitationTannery wastes contain a wide variety of contaminants adverse to sustained life and pose stresses to the microbial community, potentially giving rise to heavy metal tolerance and antimicrobial resistance in surviving microbes.
“Since tannery wastes contain a wide variety of contaminants adverse to sustained life14, these possess significant stresses to the microbial community and potentially give rise to heavy metal tolerance as well as antimicrobial resistance to the surviving microbes15.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [14] Kumar, R. et al. Management of tannery waste effluents towards the reclamation of clean water using an integrated membrane system: A state-of-the-art review. Environ. Res. 229, 115881 (2023). source
- cites [15] McMahon, M. A. et al. Environmental stress and antibiotic resistance in food-related pathogens. Appl. Environ. Microbiol. 73(1), 211–217 (2007). source
It may state two separate claims as one.
PremisecitationGupta et al. demonstrated significant associations between heavy metals and antibiotic resistance, indicating that resistance mechanisms are similar for both.
“For example, Gupta et al. demonstrated significant associations between heavy metals and antibiotic resistance, indicating that the resistance mechanisms are similar for both10.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10] Gupta, S. et al. Heavy metal and antibiotic resistance in four Indian and UK rivers with different levels and types of water pollution. Sci. Total Environ. 857(Pt 1), 159059 (2023). source
Probably not a substantial claim.
Study design and conductcitationAntibiotic susceptibility testing was accomplished using the standard Kirby-Bauer disc diffusion method, with interpretation according to CLSI-2022 and EUCAST-2022 guidelines.
“This was accomplished through the use of the standard Kirby-Bauer disc diffusion method as described previously53, with interpretation being carried out in accordance with the Clinical and Laboratory Standards Institute (CLSI-2022) and European Committee on Antimicrobial Susceptibility Testing (EUCAST-2022) guidelines.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [53] Bauer, A. W. et al. Antibiotic susceptibility testing by a standardized single disk method. Am. J. Clin. Pathol. 45(4), 493–496 (1966). source
It may state two separate claims as one.
InterpretationreasoningHigher TDS concentration is associated with lower bacterial population in TWW, possibly due to osmotic stress or inhibitory substances in the dissolved solids fraction.
“This suggests that as the concentration of dissolved solids increases, the bacterial population tends to decrease, possibly due to osmotic stress or the presence of inhibitory substances in the dissolved solids fraction.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
PremisecitationA prior study by the researchers found chromium content in TWW as high as 1.85 × 10 mg/L and COD as high as 6.5 × 10^3 mg/L, with a statistically significant direct correlation between chromium content and COD.
“The team found chromium content in TWW of different tannery wastewater disposal sites as high as 1.85 × 10 mg/L and COD as high as 6.5 × 103 mg/L and the direct correlation between chromium content and chemical oxygen demand (COD) was observed statistically significant13.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] Islam, L. et al. Assessment of physicochemical and biochemical qualities of tannery effluents of Hazaribagh, Dhaka, and comparison with non-tannery water samples. Int. J. Environ. 4, 68–81 (2015). source
Checked before — its earlier verdict is held back until a new check runs.
It may state two separate claims as one.
PremisecitationChromium imposes pressure on bacterial population, impacting the electrochemical system and leading to elevated horizontal transfer of antibiotic resistance genes, consequently elevating the likelihood of augmented horizontal transmission of resistance genes.
“Chromium was identified to impose pressure on the bacterial population, impacting the electrochemical system and leading to elevated horizontal transfer of antibiotic resistance genes, consequently elevating the likelihood of augmented horizontal transmission of resistance genes56.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [56] Zhang, K. et al. Effect of chromium and copper stress on antibiotic resistance genes transfer and associated metabolic mechanism in electrochemical system treating sulfanilamide wastewater. J. Environ. Chem. Eng. 11(1), 109122 (2023). source
It may state two separate claims as one.
InterpretationreasoningThe alarmingly elevated levels of COD, BOD, and TDS and decreased levels of DO in TWW compared to NTW pose a significant survival threat to bacteria (marked by a strong negative correlation), and this threat is one causative agent for induced antibiotic resistance.
“The alarmingly elevated levels of COD, BOD, and TDS and the decreased levels of DO in TWW compared to NTW pose a significant survival threat to bacteria (marked by a strong negative correlation), and this threat is one causative agent for induced antibiotic resistance.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
PremisecitationReduced DO levels can create conducive environments for anaerobic bacteria, potentially causing alteration to the microbial community.
“Reduced DO levels can create conducive environments for anaerobic bacteria66, potentially causing alteration to the microbial community67.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [66] Lei, Z. et al. Partial-nitritation of low-strength anaerobic effluent: A moderate-high dissolved oxygen concentration facilitates ammonia-oxidizing bacteria disinhibition and nitrite-oxidizing bacteria suppression. Sci. Total Environ. 770, 145337 (2021). source
- cites [67] Rago, L. et al. Influences of dissolved oxygen concentration on biocathodic microbial communities in microbial fuel cells. Bioelectrochemistry 116, 39–51 (2017). source
It may state two separate claims as one.
Interpretationown dataBacteria in TWW are able to evade harsh conditions and carry antibiotic resistance mechanisms.
“However, the bacterial load in TWW was over 500% greater than that of NTW, indicating bacteria are able to evade harsh conditions and carry antibiotic resistance mechanisms, and pose a significant risk to public health once they contaminate the community setting.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
Interpretationown dataTWW contains an alarmingly high level of MDR isolates, which is likely to spread into other waterbodies and nearby landfills.
“As to our findings, the TWW contains an alarmingly high level of multidrug-resistant (MDR) isolates, which is likely to spread into other waterbodies and nearby landfills.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it.
PremisecitationHigher COD values in TWW make aquatic life difficult to sustain.
“Higher COD values in the TWW make aquatic life difficult to sustain3.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] Patel, N. et al. Environmental impact and treatment of tannery waste. In Water Pollution and Remediation: Organic Pollutants (eds Inamuddin et al.) 577–595 (Springer International Publishing, 2021). source
It may state two separate claims as one.
InterpretationreasoningCOD and chromium concentration do not impact the pH level of the water.
“Furthermore, it should be noted that these factors do not impact the pH level of the water.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
InterpretationreasoningSince most tannery industries are located very close to a running river, the carriage risks the health of nearby community people.
“Since, as of now, most tannery industries are located very close to a running river, the carriage risks the health of nearby community people.”
Quote in the paperNot a substantial claim- Rests on an assumption: Most tannery industries are located very close to a running river.
Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
InterpretationreasoningThis discharge may trigger eutrophication, disrupt aquatic ecosystems, and potentially create environments conducive to the proliferation of antibiotic-resistant bacteria.
“This discharge may trigger eutrophication, disrupt aquatic ecosystems, and potentially create environments conducive to the proliferation of antibiotic-resistant bacteria.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
PremisecitationElevated BOD signifies a higher concentration of biodegradable organic substances, which can result in heightened microbial activity.
“Elevated BOD signifies a higher concentration of biodegradable organic substances65, which can result in heightened microbial activity.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [65] Hussain, F. et al. Real-time biomonitoring of oxygen uptake rate and biochemical oxygen demand using a novel optical biogas respirometric system. J. Environ. Manag. 277, 111467 (2021). source
The paper relies on this without support.
No systematic investigation had been made to identify multidrug resistance linked to tannery wastes in the context of the Hazaribagh tannery industrial area of Bangladesh.
“There has been research on MDR in Bangladeshi hospital wastes, urinary tract infection (UTI) patients, and other settings18–21, but no systematic investigation has been made to identify MDR linked to tannery wastes in the context of the Hazaribagh tannery industrial area of Bangladesh.”
The paper relies on this without support.
The TWW and NTW samples collected are representative of tannery wastewater and non-tannery wastewater in Bangladesh.
“Ten samples of tannery wastewater (TWW) were collected from the main drains of 10 tanneries of Hazaribagh, Dhaka, and 10 non-tannery wastewater (NTW) control samples were collected from the Buriganga River and the University of Dhaka area.”
The paper relies on this without support.
The selected bacterial isolates are representative of the bacterial populations in TWW and NTW.
“a total of 15 colonies were selected considering varied colony morphologies (size, shape, pigmentation, elevation, and texture) on nutrient agar”
The paper relies on this without support.
Ampicillin, tetracycline, chloramphenicol, and ceftriaxone are among the most commonly prescribed antibiotics in Bangladesh.
“This is particularly alarming since members of β-lactam, protein synthesis inhibitors, and cephalosporin classes of antibiotics, such as ampicillin, tetracycline, chloramphenicol, and ceftriaxone are among the most commonly prescribed antibiotics in our country.”
The paper relies on this without support.
Most tannery industries are located very close to a running river.
“Since, as of now, most tannery industries are located very close to a running river, the carriage risks the health of nearby community people.”
The paper relies on this without support.
The massive pile of tannery waste in the study area has remained untreated.
“However, the massive pile of tannery waste in our study area has remained untreated, and the effectiveness of the government’s initiative needs to be studied.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Claim that every site exceeded the chromium threshold a thousandfold conflicts with the reported range
MajorA thousand times the stated safe concentration of 0.1 mg/L is 100 mg/L. The paper reports chromium concentrations ranging from 0.002 to 18.5 mg/L, so none of that reported range reaches 100 mg/L.
“All of these sites had a thousand times higher concentration of environmental chromium than the safe concentration, which was reported to be 0.1 mg/L in the environment5.”
“the concentration of chromium in tannery effluent determined in our study was significantly lower (ranging from 0.002 mg/L to 1.85 × 10 mg/L)”
Two TWW nalidixic-acid resistance rates are given
MajorOne passage gives 40.0% resistance to nalidixic acid among TWW isolates; the later list assigns it 46.7%.
“The TWW isolates were resistant to ceftriaxone, erythromycin, azithromycin, and nalidixic acid with 53.4, 46.7, 40.0, and 40.0% resistant isolates respectively.”
“This efficacy was followed by ciprofloxacin, the protein synthesis inhibitors (namely tetracycline and chloramphenicol), ampicillin, nalidixic acid, and kanamycin at 6.7, 13.3, 26.7, 46.7 and 53.4% of isolates showing resistance respectively”
Kanamycin is described as both fully effective and resisted
MajorThe paper says all 15 TWW isolates were sensitive to kanamycin, but later assigns kanamycin resistance to 53.4% of those isolates.
“All the 15 TWW isolates exhibited absolute sensitivities to Gentamycin and Kanamycin”
“This efficacy was followed by ciprofloxacin, the protein synthesis inhibitors (namely tetracycline and chloramphenicol), ampicillin, nalidixic acid, and kanamycin at 6.7, 13.3, 26.7, 46.7 and 53.4% of isolates showing resistance respectively”
NTW mean chromium concentration is reported two ways
MinorThe results give the NTW chromium concentration as 0.0026 mg/L, whereas the discussion calls its mean 0.002 mg/L. Rounding 0.0026 to three decimal places would give 0.003, not 0.002.
“Chromium concentration is notably higher in TWW (3.83 mg/L) compared to NTW (0.0026 mg/L)”
“The mean chromium concentration in the NTW samples was 0.002 mg/L.”
Reported TWW bacterial load conflicts with Table 1
MinorThe abstract reports a TWW bacterial load of 5.89 × 104 cfu/mL, while Table 1 reports a mean of 33.2 × 103 cfu/mL (3.32 × 104 cfu/mL). This changes the reported magnitude of a principal comparison.
“TWW samples had a significantly higher bacterial load, compared to the non-tannery wastewater samples (5.89 × 104 and 9.38 × 103 cfu/mL, respectively)”
“| Mean | 494.5 | 0.8 | 11,060 | 33.2 | Mean | 6.4 | 8.7 | 152.5 | 9.4 |”
Citations
Cites
Antibiotic Susceptibility Testing by a Standardized Single Disk Method
Bauer, A. W., Kirby, W. M. M., Sherris, J. C., & Turck, M. (1966) · American Journal of Clinical Pathology · doi:10.1093/ajcp/45.4_ts.493 · Cited by 18,523
Antibiotic resistance in the environment
Larsson, D. G. J., & Flach, C.-F. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00649-x · Cited by 3,164
Mechanisms of Antibiotic Resistance
Munita, J. M., & Arias, C. A. (2016) · Microbiology Spectrum · doi:10.1128/microbiolspec.vmbf-0016-2015 · Cited by 2,782
Molecular mechanisms of antibiotic resistance revisited
Darby, E. M., Trampari, E., Siasat, P., Gaya, M. S., Alav, I., Webber, M. A., & Blair, J. M. A. (2023) · Nature Reviews Microbiology · doi:10.1038/s41579-022-00820-y · Cited by 1,398
Plasmids and the spread of resistance
Carattoli, A. (2013) · International Journal of Medical Microbiology · doi:10.1016/j.ijmm.2013.02.001 · Cited by 1,094
Fluoroquinolone resistance: mechanisms, impact on bacteria, and role in evolutionary success
Redgrave, L. S., Sutton, S. B., Webber, M. A., & Piddock, L. J. V. (2014) · Trends in Microbiology · doi:10.1016/j.tim.2014.04.007 · Cited by 1,071
Seiler, C., & Berendonk, T. U. (2012) · Frontiers in Microbiology · doi:10.3389/fmicb.2012.00399 · Cited by 1,018
Toxicity and Bioremediation of Heavy Metals Contaminated Ecosystem from Tannery Wastewater: A Review
Igiri, B. E., Okoduwa, S. I. R., Idoko, G. O., Akabuogu, E. P., Adeyi, A. O., & Ejiogu, I. K. (2018) · Journal of Toxicology · doi:10.1155/2018/2568038 · Cited by 933
Pham, T. D. M., Ziora, Z. M., & Blaskovich, M. A. T. (2019) · MedChemComm · doi:10.1039/c9md00120d · Cited by 852
Prasad, S., Yadav, K. K., Kumar, S., Gupta, N., Cabral-Pinto, M. M. S., Rezania, S., Radwan, N., & Alam, J. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.112174 · Cited by 744
Health hazards of hexavalent chromium (Cr (VI)) and its microbial reduction
Sharma, P., Singh, S. P., Parakh, S. K., & Tong, Y. W. (2022) · Bioengineered · doi:10.1080/21655979.2022.2037273 · Cited by 694
Multidrug Resistance: An Emerging Crisis
Tanwar, J., Das, S., Fatima, Z., & Hameed, S. (2014) · Interdisciplinary Perspectives on Infectious Diseases · doi:10.1155/2014/541340 · Cited by 692
The macrolide antibiotic renaissance
Dinos, G. P. (2017) · British Journal of Pharmacology · doi:10.1111/bph.13936 · Cited by 512
Bhatt, S., & Chatterjee, S. (2022) · Environmental Pollution · doi:10.1016/j.envpol.2022.120440 · Cited by 452
Forecasting the dissemination of antibiotic resistance genes across bacterial genomes
Ellabaan, M. M. H., Munck, C., Porse, A., Imamovic, L., & Sommer, M. O. A. (2021) · Nature Communications · doi:10.1038/s41467-021-22757-1 · Cited by 364
Mechanisms of Action of Carbapenem Resistance
Aurilio, C., Sansone, P., Barbarisi, M., Pota, V., Giaccari, L. G., Coppolino, F., Barbarisi, A., Passavanti, M. B., & Pace, M. C. (2022) · Antibiotics · doi:10.3390/antibiotics11030421 · Cited by 314
Adjovu, G. E., Stephen, H., James, D., & Ahmad, S. (2023) · Remote Sensing · doi:10.3390/rs15143534 · Cited by 292
Resistance to Macrolide Antibiotics in Public Health PathogensPreprint
Fyfe, C., Grossman, T. H., Kerstein, K., & Sutcliffe, J. A. (2016) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a025395 · Cited by 271
An overview of chromium removal techniques from tannery effluent
Nur-E-Alam, M., Mia, M. A. S., Ahmad, F., & Rahman, M. M. (2020) · Applied Water Science · doi:10.1007/s13201-020-01286-0 · Cited by 246
The Development of Third-Generation Tetracycline Antibiotics and New Perspectives
Rusu, A., & Buta, L. E. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics13122085 · Cited by 228
Aminoglycoside interactions and impacts on the eukaryotic ribosome
Prokhorova, I., Altman, R. B., Djumagulov, M., Shrestha, J. P., Urzhumtsev, A., Ferguson, A., Chang, C. T., Yusupov, M., Blanchard, S. C., & Yusupova, G. Z. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1715501114 · Cited by 224
Kent, A. G., Vill, A. C., Shi, Q., Satlin, M. J., & Brito, I. L. (2020) · Nature Communications · doi:10.1038/s41467-020-18164-7 · Cited by 216
Environmental Stress and Antibiotic Resistance in Food-Related Pathogens
McMahon, M. A. S., Xu, J., Moore, J. E., Blair, I. S., & McDowell, D. A. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00578-06 · Cited by 213
Angelis, G. D., Giacomo, P. D., Posteraro, B., Sanguinetti, M., & Tumbarello, M. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21145090 · Cited by 203
The Spread of Antibiotic Resistance Genes In Vivo Model
Tao, S., Chen, H., Li, N., Wang, T., & Liang, W. (2022) · Canadian Journal of Infectious Diseases and Medical Microbiology · doi:10.1155/2022/3348695 · Cited by 189
The general mode of translation inhibition by macrolide antibiotics
Kannan, K., Kanabar, P. N., Schryer, D. W., Florin, T., Oh, E., Bahroos, N., Tenson, T., Weissman, J. S., & Mankin, A. S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1417334111 · Cited by 184
β-lactam Resistance in Pseudomonas aeruginosa: Current Status, Future Prospects
Glen, K. A., & Lamont, I. L. (2021) · Pathogens · doi:10.3390/pathogens10121638 · Cited by 184
Hoque, R., Ahmed, S. M., Naher, N., Islam, M. A., Rousham, E. K., Islam, B. Z., & Hassan, S. (2020) · PLOS ONE · doi:10.1371/journal.pone.0227947 · Cited by 163
Bacterial Protein Synthesis as a Target for Antibiotic InhibitionPreprint
Arenz, S., & Wilson, D. N. (2016) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a025361 · Cited by 162
Chromium removal from contaminated waters using nanomaterials – A review
Almeida, J. C., Cardoso, C. E. D., Tavares, D., Freitas, R., Trindade, T., Vale, C., & Pereira, E. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.05.005 · Cited by 137
Heavy Metal Induced Antibiotic Resistance in Bacterium LSJC7
Chen, S., Li, X., Sun, G., Zhang, Y., Su, J., & Ye, J. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms161023390 · Cited by 128
Rago, L., Cristiani, P., Villa, F., Zecchin, S., Colombo, A., Cavalca, L., & Schievano, A. (2017) · Bioelectrochemistry · doi:10.1016/j.bioelechem.2017.04.001 · Cited by 128
Genawi, N. M., Ibrahim, M. H., El‐Naas, M. H., & Alshaik, A. E. (2020) · Water · doi:10.3390/w12051374 · Cited by 112
Intra- and interpopulation transposition of mobile genetic elements driven by antibiotic selection
Yao, Y., Maddamsetti, R., Weiss, A., Ha, Y., Wang, T., Wang, S., & You, L. (2022) · Nature Ecology & Evolution · doi:10.1038/s41559-022-01705-2 · Cited by 110
Johnning, A., Kristiansson, E., Fick, J. B., Weijdegård, B., & Larsson, D. G. J. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.01355 · Cited by 105
Gupta, S., Graham, D. W., Sreekrishnan, T. R., & Ahammad, S. Z. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.159059 · Cited by 104
Unnecessary Antibiotic Prescribing in US Ambulatory Care Settings, 2010–2015
Hersh, A. L., King, L. M., Shapiro, D. J., Hicks, L. A., & Fleming-Dutra, K. E. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa667 · Cited by 103
Hooper, D. C. (1995) · Drugs · doi:10.2165/00003495-199500492-00004 · Cited by 93
Evolution of horizontal transmission in antimicrobial resistance plasmids
Dimitriu, T. (2022) · Microbiology · doi:10.1099/mic.0.001214 · Cited by 72
Jain, P., Bepari, A. K., Sen, P. K., Rafe, T., Imtiaz, R., Hossain, M., & Reza, H. M. (2021) · Scientific Reports · doi:10.1038/s41598-021-02251-w · Cited by 69
Kumar, R., Basu, A., Bishayee, B., Chatterjee, R. P., Behera, M., Ang, W. L., Pal, P., Shah, M., Tripathy, S. K., Ambika, S., et al. (2023) · Environmental Research · doi:10.1016/j.envres.2023.115881 · Cited by 67
Mo, J., Ma, Z., Yan, S., Cheung, N. K. M., Yang, F., Yao, X., & Guo, J. (2022) · Journal of Environmental Sciences · doi:10.1016/j.jes.2021.12.001 · Cited by 65
Tetracycline and Chloramphenicol Resistance Mechanisms
Roberts, M. C., & Schwarz, Š. (2017) · Springer eBooks · doi:10.1007/978-3-319-46718-4_15 · Cited by 48
Khan, A. I., Rashid, M. M., Islam, M. T., Afrad, M. H., Salimuzzaman, M., Hegde, S. T., Zion, M. M. I., Khan, Z. H., Shirin, T., Habib, Z. H., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciz1075 · Cited by 47
Akter, F., Amin, R., Osman, K. T., Anwar, M. N., Karim, M. M., & Hossain, M. A. (2011) · World Journal of Microbiology and Biotechnology · doi:10.1007/s11274-011-0875-3 · Cited by 42
Self-citationHigh-Level Macrolide Resistance Due to the Mega Element [mef(E)/mel] in Streptococcus pneumoniae
Schroeder, M. R., Lohsen, S., Chancey, S. T., & Stephens, D. S. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.00868 · Cited by 42
Heavy metal co-resistance with antibiotics amongst bacteria isolates from an open dumpsite soil
Edet, U. O., Bassey, I. U., & Joseph, A. P. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e13457 · Cited by 42
Wang, N., Xu, X., Xiao, L., & Liu, Y. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2023.1186017 · Cited by 42
Contrasting Epidemiology of Cholera in Bangladesh and Africa
Sack, D. A., Debes, A. K., Ateudjieu, J., Bwire, G., Ali, M., Ngwa, M. C., Mwaba, J., Chilengi, R., Orach, C. C., Boru, W., et al. (2021) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiab440 · Cited by 38
Lei, Z., Wang, L., Wang, J., Yang, S., Hou, Z., Wang, X. C., & Chen, R. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2021.145337 · Cited by 37
Dalju, I., Dessie, A., Bogale, L., & Mekonnen, T. H. (2019) · Multidisciplinary Respiratory Medicine · doi:10.4081/mrm.2019.25 · Cited by 35
Foladori, P., Petrini, S., & Andreottola, G. (2020) · Heliyon · doi:10.1016/j.heliyon.2019.e03088 · Cited by 35
Wu, S., Yang, Y., Wang, T., Sun, J., Zhang, Y., Ji, J., & Sun, X. (2021) · Food Research International · doi:10.1016/j.foodres.2021.110359 · Cited by 35
Evolutionary action of mutations reveals antimicrobial resistance genes in Escherichia coli
Marciano, D. C., Wang, C., Hsu, T., Bourquard, T., Atri, B., Nehring, R. B., Abel, N. S., Bowling, E. A., Chen, T. J., Lurie, P., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30889-1 · Cited by 34
Owusu, F. A., Obeng‐Nkrumah, N., Gyinae, E., Kodom, S., Tagoe, R., Tabi, B. K. A., Dayie, N. T. K. D., Opintan, J. A., & Egyir, B. (2023) · Antibiotics · doi:10.3390/antibiotics12061016 · Cited by 32
Impact of tannery effluents on the aquatic environment of the Buriganga River in Dhaka, Bangladesh
Asaduzzaman, M., Hasan, I., Rajia, S., Khan, N., & Kabir, K. A. (2016) · Toxicology and Industrial Health · doi:10.1177/0748233714548206 · Cited by 29
Hickman, R. A., Leangapichart, T., Lunha, K., Jiwakanon, J., Angkititrakul, S., Magnusson, U., Sunde, M., & Järhult, J. D. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.651461 · Cited by 29
Occupational cancers in leather tanning industries: A short review
Rastogi, S., Kesavachandran, C., Mahdi, F., & Pandey, A. (2007) · Indian Journal of Occupational and Environmental Medicine · doi:10.4103/0019-5278.32456 · Cited by 28
Antibiotic use in farming set to soar despite drug-resistance fears
Reardon, S. (2023) · Nature · doi:10.1038/d41586-023-00284-x · Cited by 28
Dalju, I., Dessie, A., Bogale, L., & Mekonnen, T. H. (2019) · Multidisciplinary Respiratory Medicine · doi:10.1186/s40248-019-0188-1 · Cited by 25
Hussain, F., Yu, H.-W., Chon, K., Lee, Y.-G., Eom, H., Chae, K.-J., & Oh, S.-E. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2020.111467 · Cited by 23
Garbern, S. C., Chu, T.-C., Gainey, M., Kanekar, S. S., Nasrin, S., Qu, K., Barry, M. A., Nelson, E. J., Leung, D. T., Schmid, C. H., et al. (2021) · Tropical Medicine and Health · doi:10.1186/s41182-021-00327-x · Cited by 20
Srinivas, P., Nosrati, M., Zelinskaya, N., Dey, D., Comstock, L. R., Dunham, C. M., & Conn, G. L. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2304128120 · Cited by 20
Manik, M. R. K., Mahmud, Z., Mishu, I. D., Hossen, M. S., Howlader, M. Z. H., & Nabi, A. N. (2023) · Current Issues in Molecular Biology · doi:10.3390/cimb45080409 · Cited by 20
Self-citationGarbern, S. C., Chu, T.-C., Yang, P., Gainey, M., Nasrin, S., Kanekar, S., Qu, K., Nelson, E. J., Leung, D. T., Ahmed, D., et al. (2021) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2021.02.102 · Cited by 19
Environmental Impact and Treatment of Tannery Waste
Patel, N., Shahane, S., Chauhan, D., Rai, D., Khan, M. Z. A., Bhunia, B., & Chaudhary, V. K. (2021) · Environmental Chemistry for a Sustainable World · doi:10.1007/978-3-030-52395-4_16 · Cited by 17
Potential Human Health Risks of Tannery Waste-contaminated Poultry Feed
Bari, M. L., Simol, H. A., Khandoker, N., Begum, R., & Sultana, U. N. (2015) · Journal of Health and Pollution · doi:10.5696/2156-9614-5-9.68 · Cited by 15
Khan, A. I., Islam, M. T., Amin, M. A., Khan, Z. H., & Qadri, F. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1103518 · Cited by 12
Zhang, K., Guo, J., Luo, H., Chen, W., Chen, J., Mo, Y., & Zou, Z. (2023) · Journal of Environmental Chemical Engineering · doi:10.1016/j.jece.2022.109122 · Cited by 11
Environmental Concerns of the Tanning Industry
Masood, F., & Malik, A. (2014) · Environmental Deterioration and Human Health · doi:10.1007/978-94-007-7890-0_3 · Cited by 9
Sarmin, M., Afroze, F., Sharifuzzaman, Alam, T., Shaly, N. J., Ahmed, T., & Chisti, M. J. (2019) · Global Pediatric Health · doi:10.1177/2333794x19862716 · Cited by 9
Mahmud, Z., Shabnam, S. A., Mishu, I. D., Johura, F.-T., Mannan, S. B., Sadique, A., Islam, L. N., & Alam, M. (2021) · Gene Reports · doi:10.1016/j.genrep.2021.101182 · Cited by 9
Self-citationMahmud, Z., Shabnam, S. A., Mishu, I. D., Sadique, A., Islam, L. N., & Alam, M. (2024) · Gene Reports · doi:10.1016/j.genrep.2024.101987 · Cited by 9
Self-citationBioremediation of Tannery Effluent Contaminated Soil: A Green Approach
Selvan, S. T., Balakumaran, M. D., Suresh, S., Velramar, B., Sanjivkumar, M., Balasundaram, S., & Ramamurthy, D. (2022) · Springer eBooks · doi:10.1007/978-3-030-89984-4_18 · Cited by 7
Islam, L. N., Rahman, A., Mahmud, Z., Nabi, A. H. M. N., Hossain, M., & Mohasin, M. (2015) · International Journal of Environment · doi:10.3126/ije.v4i1.12179 · Cited by 6
Self-citationRoy, A., Yasmin, R., Mahmud, Z., Chowdhuary, F. T., & Mohasin, M. (2023) · Bioresearch Communications · doi:10.3329/brc.v10i1.70675 · Cited by 5
Self-citationCo-resistance to Chromium and Antibiotics in Bacteria Isolated from Tannery Wastes
Mahmud, J., Chowdhury, M. K., Sami, A. B., Akhand, A. A., & Ahsan, N. (2016) · Dhaka University Journal of Pharmaceutical Sciences · doi:10.3329/dujps.v14i2.28510 · Cited by 2
Avoiding the Production of Polluting and Toxic Chemicals in the Tanning Process
Morera, J. M., Bartolí, E., Rojas, P., & Cabeza, L. F. (2021) · Journal of the American Leather Chemists Association · doi:10.34314/jalca.v116i10.4617 · Cited by 1
Flagged first, then by citations
Research works printed but not linked: 1
- Dey, S. & Islam, A. A review on textile wastewater characterization in Bangladesh. Resour. Environ. 5, 15–44 (2015).
Cited by
Sorted by citations
Mohanrasu, K., Manivannan, A. C., Rengarajan, H. J. R., Kandaiah, R., Ravindran, A., Panneerselvan, L., Thavamani, P., & Sathish, C. (2025) · npj Materials Sustainability · doi:10.1038/s44296-025-00057-9 · Cited by 136
Manik, M. R. K., Mishu, I. D., Mahmud, Z., Muskan, M. N., & Emon, S. Z. (2025) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2025.102766 · Cited by 15
Self-citationSayem, M., Rafi, M. A., Mishu, I. D., & Mahmud, Z. (2025) · Scientific Reports · doi:10.1038/s41598-025-06655-w · Cited by 11
Self-citationFaruk, O., Rana, M. R. K., Fatema, B., Paul, J. C., & Islam, M. R. (2025) · Annals of Microbiology · doi:10.1186/s13213-025-01820-y · Cited by 6
Sharif, D. I., Amin, F., Mehbub, M. H., & Ratul, R. I. (2024) · Journal of Water and Health · doi:10.2166/wh.2024.270 · Cited by 6
Fuad, M., Mahmud, Z., Mishu, I. D., Tamanna, S., Ansari, F., Manik, M. R. K., & Howlader, M. Z. H. (2026) · Scientific Reports · doi:10.1038/s41598-026-46554-2 · Cited by 5
Self-citationBouchaala, L., Mellouk, F. Z., Afri, A., Grara, N., & Houhamdi, M. (2025) · Earth · doi:10.3390/earth6040139 · Cited by 3
Quintana, S. A., Sarmiento, M. M., Arrúa, A. A., Morel, R., Ríes, A., & Rodas, G. A. B. (2026) · Applied Microbiology · doi:10.3390/applmicrobiol6020028 · Cited by 2
Okoduwa, S. I. R., Igiri, B. E., Okoduwa, U. J., & Imam, A. M. (2026) · Environmental Science and Pollution Research · doi:10.1007/s11356-026-37441-4 · Cited by 2
Enzymatic Approaches for Tannery Waste Valorization
Sultana, R., Rashid, T. U., & Rahman, M. M. (2025) · Interdisciplinary biotechnological advances · doi:10.1007/978-981-96-2302-0_12 · Cited by 1
Naznine, F., Aafreen, U., Malik, Y. S., & Ansari, M. I. (2025) · Molecular Biology Reports · doi:10.1007/s11033-025-10961-x
(2025) · Arid-zone Journal of Basic & Applied Research · doi:10.55639/607.02010062
Gu, Y., Chen, X., Fu, W., Chi, X., & Zhou, X. (2026) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2026.143356
Mahmud, S., Akter, A., Ali, M. F., Ali, M. R., Khanam, R., Tabassum, F., Das, L. C., Talukder, A. H., & Mohiuddin, A. K. M. (2026) · Journal of Genetic Engineering and Biotechnology · doi:10.1016/j.jgeb.2026.100723
Removal of Chromium from Wastewater Using Carboxymethyl Cellulose Derived from Water Hyacinth
Mahmud, A., Joy, L. D., Islam, M. H., & Sharmin, S. (2026) · Material Science Research India · doi:10.13005/msri/230104
Bhardwaj, S., Choudhary, P., Singh, D., & Rautela, I. (2026) · Asian Journal of Chemistry · doi:10.14233/ajchem.2026.35789
Vaidya, A., Sahoo, T. P., Semwal, N., & Saravaia, H. T. (2026) · Journal of Environmental Management · doi:10.1016/j.jenvman.2026.130467
Khanam, R., Chakraborty, S., Akter, S., Ali, M. F., & Mahmud, S. (2026) · Environmental Quality Management · doi:10.1002/tqem.70405
Zowad, M. A., Hasan, M. G., & Bhuiyan, I. U. (2026) · Waste Management Bulletin · doi:10.1016/j.wmb.2026.100347
Nguyen, P.-T., Nguyen, T.-D.-Q., Ninh, N.-T.-T., Hoang, Q.-H., Le, V.-T., Bui, X., Geißen, S., & Vo, T. (2026) · Sustainable Chemistry One World · doi:10.1016/j.scowo.2026.100302
Ganefati, S. P., Haryanti, S., Windarso, S. E., Haryono, H., Sugianto, S., & Rini, D. S. (2026) · Health Dynamics · doi:10.33846/hd30902
Metadata
- Authors
- Mahmud, Z., Manik, M. R. K., Rahman, A., Karim, M. M., & Islam, L. N.
- Affiliations
- University of Dhaka (BD)
- Corresponding author
- Mahmud, Zimam
- Islam, Laila N.
- Venue
- Scientific Reports
- Published
- 2024-09-02
- Volume
- 14
- Issue
- 1
- Pages
- 20379-20379
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC11369239
- OpenAlex
- W4402130605
- Cited by
- 22
- References
- 77
- Citations by year
- 2026: 13 · 2025: 8 · 2024: 1
- FWCI
- 2.07
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Scientific Reports (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Environmental Science › Pollution › Pharmaceutical and Antibiotic Environmental Impacts
- Health Sciences › Medicine › Microbiology (medical) › Antibiotic Resistance in Bacteria
- Health Sciences › Medicine › Infectious Diseases › Antibiotic Use and Resistance
- Keywords
- tannery wastewater, multidrug resistance, antibiotic resistance, bacterial load, heavy metals, chromium, wastewater treatment, public health risk
- MeSH terms
- Anti-Bacterial Agents, Bacteria, Bangladesh, Industrial Waste, Microbial Sensitivity Tests, Tanning, Drug Resistance, Multiple, Bacterial, Biological Oxygen Demand Analysis, Wastewater
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-11-08, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-11-08 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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