The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Alterations of the human gut microbiome in liver cirrhosis
Abstract
Liver cirrhosis occurs as a consequence of many chronic liver diseases that are prevalent worldwide. Here we characterize the gut microbiome in liver cirrhosis by comparing 98 patients and 83 healthy control individuals. We build a reference gene set for the cohort containing 2.69 million genes, 36.1% of which are novel. Quantitative metagenomics reveals 75,245 genes that differ in abundance between the patients and healthy individuals (false discovery rate < 0.0001) and can be grouped into 66 clusters representing cognate bacterial species; 28 are enriched in patients and 38 in control individuals. Most (54%) of the patient-enriched, taxonomically assigned species are of buccal origin, suggesting an invasion of the gut from the mouth in liver cirrhosis. Biomarkers specific to liver cirrhosis at gene and function levels are revealed by a comparison with those for type 2 diabetes and inflammatory bowel disease. On the basis of only 15 biomarkers, a highly accurate patient discrimination index is created and validated on an independent cohort. Thus microbiota-targeted biomarkers may be a powerful tool for diagnosis of different diseases.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Studies in the past few years have demonstrated profound alterations of the intestinal microbiota in patients with cirrhosis, showing increased Enterobacteriacea as well as strains that are typically found in the oral microbiota, such as Veillonellaceae and Streptococcaceae, consistent with an invasion of microorganisms from the mouth to the gut in liver cirrhosis32,33.”
From The gut microbiome and liver cancer: mechanisms and clinical translation (2017) · cites this paper as [32]
In the citing paper
“Metagenomic studies have revealed substantial alterations in the composition of the gut microbiota in a range of CLD as well as in patients with cirrhosis12,32.”
From The gut microbiome and liver cancer: mechanisms and clinical translation (2017) · cites this paper as [32]
In the citing paper
“Key changes in the composition of the intestinal microbiota in cirrhosis include enrichment of Veillonella or Streptococcus as well as decreased bacteria from the order Clostridiales32.”
From The gut microbiome and liver cancer: mechanisms and clinical translation (2017) · cites this paper as [32]
In the citing paper
“Of note, the majority of the patient-enriched species were of buccal origin, suggesting an invasion of the gut from the mouth in liver cirrhosis32.”
From The gut microbiome and liver cancer: mechanisms and clinical translation (2017) · cites this paper as [32]
In the citing paper
“The gut microbiomes of patients with advanced liver disease and cirrhosis are characterized by an increase in potentially pathogenic bacteria, along with reduced numbers of bacteria with beneficial properties32,84,85.”
From The gut microbiome and liver cancer: mechanisms and clinical translation (2017) · cites this paper as [32]
In the citing paper
“Changes in the composition of the oral microbiome and the colonisation of the lower intestinal tract by oral-specific bacteria has been related to cirrhosis49.”
From Cholestasis induced by bile duct ligation promotes changes in the intestinal microbiome in mice (2019) · cites this paper as [49]
In the citing paper
“Increased presence of Prevotella has been found in cirrhotics49”
From Cholestasis induced by bile duct ligation promotes changes in the intestinal microbiome in mice (2019) · cites this paper as [49]
Citations
Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
Self-citationPrincipal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785
A core gut microbiome in obese and lean twins
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., et al. (2009) · Nature · doi:10.1038/nature07540 · Cited by 7,823
Human gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815
A metagenome-wide association study of gut microbiota in type 2 diabetes
Qin, J., Li, Y., Cai, Z., Li, S., Zhu, J., Zhang, F., Liang, S., Zhang, W., Guan, Y., Shen, D., et al. (2012) · Nature · doi:10.1038/nature11450 · Cited by 6,762
Self-citationLinking long-term dietary patterns with gut microbial enterotypes
Wu, G. D., Chen, J., Hoffmann, C., Bittinger, K., Chen, Y.-Y., Keilbaugh, S. A., Bewtra, M., Knights, D., Walters, W. A., Knight, R., et al. (2011) · Science · doi:10.1126/science.1208344 · Cited by 6,513
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Items 401–500 of 1,001
Preterm birth is associated with xenobiotics and predicted by the vaginal metabolome
Kindschuh, W. F., Baldini, F., Liu, M. C., Gerson, K. D., Liao, J., Lee, H. H., Anton, L., Gajer, P., Ravel, J., Levy, M., et al. (2023) · Nature Microbiology · doi:10.1038/s41564-022-01293-8 · Cited by 90
Effect of rifaximin on gut microbiota composition in advanced liver disease and its complications
Ponziani, F. R. (2015) · World Journal of Gastroenterology · doi:10.3748/wjg.v21.i43.12322 · Cited by 90
Gut : liver : brain axis: the microbial challenge in the hepatic encephalopathy
Mancini, A., Campagna, F., Amodio, P., & Tuohy, K. M. (2018) · Food & Function · doi:10.1039/c7fo01528c · Cited by 89
The Role of Gut Microbiota in Some Liver Diseases: From an Immunological Perspective
Wang, L., Cao, Z.-M., Zhang, L., Li, J.-M., & Lv, W. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.923599 · Cited by 89
The Commensal Microbe V eillonella as a Marker for Response to an FGF19 Analog in NASH
Loomba, R., Ling, L., Dinh, D. M., DePaoli, A. M., Lieu, H. D., Harrison, S. A., & Sanyal, A. J. (2021) · Hepatology · doi:10.1002/hep.31523 · Cited by 88
The microbiome in chronic kidney disease patients undergoing hemodialysis and peritoneal dialysis
Simões‐Silva, L., Araújo, R., Pestana, M., Soares‐Silva, I., & Sampaio‐Maia, B. (2018) · Pharmacological Research · doi:10.1016/j.phrs.2018.02.011 · Cited by 87
Initial meconium microbiome in Chinese neonates delivered naturally or by cesarean section
Shi, Y., Guo, H., Chen, J., Sun, G., Ren, R., Guo, M., Peng, L., & Yang, Y. (2018) · Scientific Reports · doi:10.1038/s41598-018-21657-7 · Cited by 87
Periodontitis is associated with incident chronic liver disease—A population‐based cohort study
Helenius‐Hietala, J., Suominen, A. L., Ruokonen, H., Knuuttila, M. L. E., Puukka, P. J., Jula, A., Meurman, J. H., & Åberg, F. O. (2018) · Liver International · doi:10.1111/liv.13985 · Cited by 87
Cui, H., Zhang, L.-S., Luo, Y., Yuan, K., Huang, Z.-Y., & Guo, Y. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.01423 · Cited by 87
Tsuzuno, T., Takahashi, N., Yamada‐Hara, M., Yokoji, M., Sulijaya, B., Aoki‐Nonaka, Y., Matsugishi, A., Katakura, K., Tabeta, K., & Yamazaki, K. (2021) · Journal of Periodontal Research · doi:10.1111/jre.12816 · Cited by 87
The interplay between the intestinal microbiota and the immune system
Lei, Y. M., Nair, L., & Alegre, M. (2014) · Clinics and Research in Hepatology and Gastroenterology · doi:10.1016/j.clinre.2014.10.008 · Cited by 87
Gut dysbiosis associated with clinical prognosis of patients with primary biliary cholangitis
Furukawa, M., Moriya, K., Nakayama, J., Inoue, T., Momoda, R., Kawaratani, H., Namisaki, T., Sato, S., Douhara, A., Kaji, K., et al. (2020) · Hepatology Research · doi:10.1111/hepr.13509 · Cited by 86
Blanco‐Míguez, A., Gálvez, E. J. C., Pasolli, E., Filippis, F. D., Amend, L., Huang, K. D., Manghi, P., Lesker, T.-R., Riedel, T., Cova, L., et al. (2023) · Cell Host & Microbe · doi:10.1016/j.chom.2023.09.013 · Cited by 86
Yu, J., Zhu, P., Shi, L., Gao, N., Li, Y., Shu, C., Xu, Y., Yu, Y., He, J., Guo, D., et al. (2023) · Cell Host & Microbe · doi:10.1016/j.chom.2023.11.011 · Cited by 86
Characterization of the gut microbiota of Kawasaki disease patients by metagenomic analysis
Kinumaki, A., Sekizuka, T., Hamada, H., Kato, K., Yamashita, A., & Kuroda, M. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00824 · Cited by 86
Oral and Gut Dysbiosis Leads to Functional Alterations in Parkinson’s Disease
Jo, S., Kang, W., Hwang, Y. S., Lee, S. H., Park, K. W., Kim, M. S., Lee, H., Yoon, H. J., Park, Y. K., Chalita, M., et al. (2022) · npj Parkinson s Disease · doi:10.1038/s41531-022-00351-6 · Cited by 85
Gut–liver axis and sterile signals in the development of alcoholic liver disease
Szabó, G., & Petrášek, J. (2017) · Alcohol and Alcoholism · doi:10.1093/alcalc/agx025 · Cited by 85
Ponziani, F. R., Putignani, L., Sterbini, F. P., Petito, V., Picca, A., CHIERICO, F. D., Reddel, S., Calvani, R., Marzetti, E., Sanguinetti, M., et al. (2018) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.15004 · Cited by 84
Yu, S., Xiong, Y., Xu, J., Liang, X., Fu, Y., Liu, D., Yu, X., & Wu, D. (2020) · Digestive Diseases and Sciences · doi:10.1007/s10620-020-06061-4 · Cited by 84
Gut microbiota and associated metabolites: key players in high-fat diet-induced chronic diseases
Du, W., Zou, Z., Ye, B., & Zhou, Y. Q. (2025) · Gut Microbes · doi:10.1080/19490976.2025.2494703 · Cited by 84
Neto, M. P. C., Aquino, J. D. S., da Silva, L. D. F. R., Silva, R. D. O., Guimarães, K. S. D. L., de Oliveira, Y., de Souza, E. L., Magnani, M., Vidal, H., & Alves, J. L. D. B. (2018) · Pharmacological Research · doi:10.1016/j.phrs.2018.01.020 · Cited by 84
Hackstein, C.-P., Assmus, L. M., Welz, M., Klein, S., Schwandt, T., Schultze, J. L., Förster, I., Gondorf, F., Beyer, M., Kroy, D. C., et al. (2016) · Gut · doi:10.1136/gutjnl-2015-311224 · Cited by 83
Li, Q., Chen, H., Zhang, M., Wu, T., & Liu, R. (2019) · Food & Function · doi:10.1039/c9fo01465a · Cited by 82
Qi, D., Nie, X.-L., & Zhang, J.-J. (2020) · Lipids in Health and Disease · doi:10.1186/s12944-020-01259-x · Cited by 82
RetractedAndreu-Sánchez, S., Blanco-Míguez, A., Wang, D., Golzato, D., Manghi, P., Heidrich, V., Fackelmann, G., Zhernakova, D. V., Kurilshikov, A., Valles-Colomer, M., et al. (2025) · Cell · doi:10.1016/j.cell.2025.04.014 · Cited by 81
Yu, L., Zhao, X., Cheng, M.-L., Yang, G.-Z., Bi, W., Liu, H.-J., Hu, Y., Zhu, L., Zhang, S., Xiao, Z., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-01271-9 · Cited by 81
Novel perspectives in the management of decompensated cirrhosis
Bernardi, M., & Caraceni, P. (2018) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-018-0045-2 · Cited by 81
Effects of spaceflight on the composition and function of the human gut microbiota
Liu, Z., Luo, G., Du, R., Sun, W., Li, J., Lan, H., Chen, P., Yuan, X., Cao, D., Li, Y., et al. (2020) · Gut Microbes · doi:10.1080/19490976.2019.1710091 · Cited by 81
Longitudinal Analysis of the Intestinal Microbiota in Liver Transplantation
Kato, K., Nagao, M., Miyamoto, K., Oka, K., Takahashi, M., Yamamoto, M., Matsumura, Y., Kaido, T., Üemoto, S., & Ichiyama, S. (2017) · Transplantation Direct · doi:10.1097/txd.0000000000000661 · Cited by 81
MVP: a microbe–phage interaction database
Gao, N., Zhang, C., Zhang, Z., Hu, S., Lercher, M. J., Zhao, X., Bork, P., Liu, Z., & Chen, W.-H. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1124 · Cited by 80
Relationship between intestinal microbial dysbiosis and primary liver cancer
Zhang, L., Wu, Y.-N., Chen, T., Ren, C.-H., Li, X., & Liu, G. (2019) · Hepatobiliary & pancreatic diseases international · doi:10.1016/j.hbpd.2019.01.002 · Cited by 80
Chronic liver disease enables gut Enterococcus faecalis colonization to promote liver carcinogenesis
Iida, N., Mizukoshi, E., Yamashita, T., Yutani, M., Seishima, J., Wang, Z., Arai, K., Okada, H., Yamashita, T., Sakai, Y., et al. (2021) · Nature Cancer · doi:10.1038/s43018-021-00251-3 · Cited by 80
Vanhaecke, T., Bretin, O., Poirel, M., & Tap, J. (2021) · Journal of Nutrition · doi:10.1093/jn/nxab312 · Cited by 80
Sayec, M. L., Xu, Y., Laiola, M., Gallego, F. A., Katsikioti, D., Durbidge, C., Kivisild, U., Armes, S., Lecomte, M., Fança‐Berthon, P., et al. (2022) · Clinical Nutrition · doi:10.1016/j.clnu.2022.08.024 · Cited by 80
Li, C., Liu, C., Fu, M., Hu, K., Aizawa, K., Takahashi, S., Suganuma, H., Cheng, J., Lintig, J. V., & Wang, X. (2017) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201700738 · Cited by 79
An update on the recent advances in antifibrotic therapy
Tacke, F., & Weiskirchen, R. (2018) · Expert Review of Gastroenterology & Hepatology · doi:10.1080/17474124.2018.1530110 · Cited by 79
The PPAR–microbiota–metabolic organ trilogy to fine‐tune physiology
Oh, H. Y. P., Visvalingam, V., & Wahli, W. (2019) · The FASEB Journal · doi:10.1096/fj.201802681rr · Cited by 79
Acharya, C., & Bajaj, J. S. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.10.056 · Cited by 79
Yu, L., Hu, X., Xu, R., Zhao, Y., Xiong, L., Ai, J., Wang, X., Chen, X., Ba, Y., Xing, Z., et al. (2023) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2023.117628 · Cited by 79
Self-citationLiu, J., Lahousse, L., Nivard, M. G., Bot, M., Chen, L., van Klinken, J. B., Thesing, C. S., Beekman, M., van den Akker, E. B., Slieker, R. C., et al. (2020) · Nature Medicine · doi:10.1038/s41591-019-0722-x · Cited by 79
Adams, L. A., Wang, Z., Liddle, C., Melton, P. E., Ariff, A., Chandraratna, H. S., Tan, J. T. H., Ching, H. L., Coulter, S., de Boer, B., et al. (2020) · Liver International · doi:10.1111/liv.14453 · Cited by 79
Liu, S., Zhao, W., Liu, X., & Cheng, L. (2020) · The FASEB Journal · doi:10.1096/fj.202000622r · Cited by 79
Yang, J., Li, D., Yang, Z., Dai, W., Feng, X., Liu, Y., Jiang, Y., Li, P., Li, Y., Tang, B., et al. (2020) · Gut Microbes · doi:10.1080/19490976.2020.1712986 · Cited by 78
Ameliorative effects and molecular mechanisms of vine tea on western diet-induced NAFLD
Xie, K., He, X., Chen, K., Sakao, K., & Hou, D. (2020) · Food & Function · doi:10.1039/d0fo00795a · Cited by 78
Links between gut microbiome composition and fatty liver disease in a large population sample
Ruuskanen, M. O., Åberg, F. O., Männistö, V., Havulinna, A. S., Méric, G., Liu, Y., Loomba, R. S., Vázquez‐Baeza, Y., Tripathi, A., Valsta, L. M., et al. (2021) · Gut Microbes · doi:10.1080/19490976.2021.1888673 · Cited by 78
Intestinal virome and therapeutic potential of bacteriophages in liver disease
Hsu, C. L., Duan, Y., Fouts, D. E., & Schnabl, B. (2021) · Journal of Hepatology · doi:10.1016/j.jhep.2021.08.003 · Cited by 78
Kang, Y., Cai, Y., & Yang, Y. X. (2021) · Liver Cancer · doi:10.1159/000521358 · Cited by 78
The Complicated Relationship of Short-Chain Fatty Acids and Oral Microbiome: A Narrative Review
Leonov, G. E., Varaeva, Y. R., Николаевна, Л. Е., & Starodubova, A. V. (2023) · Biomedicines · doi:10.3390/biomedicines11102749 · Cited by 78
The gut–brain axis underlying hepatic encephalopathy in liver cirrhosis
He, X., Hu, M., Xu, Y., Xia, F., Tan, Y., Wang, Y., Xiang, H., Wu, H., Ji, T., Xu, Q., et al. (2025) · Nature Medicine · doi:10.1038/s41591-024-03405-9 · Cited by 78
Shah, A., Shanahan, E. R., Macdonald, G. A., Fletcher, L. M., Ghasemi, P., Morrison, M., Jones, M., & Holtmann, G. (2017) · Seminars in Liver Disease · doi:10.1055/s-0037-1608832 · Cited by 77
Fianchi, F., Liguori, A., Gasbarrini, A., Grieco, A., & Miele, L. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22126485 · Cited by 77
The gut microbiota–bile acid axis: A potential therapeutic target for liver fibrosis
Zhang, Y., Li, Z.-J., Gou, H.-Z., Song, X., & Zhang, L. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.945368 · Cited by 77
Liu, Y., Zheng, Z., Yu, L., Wu, S., Sun, L., Wu, S., Xu, Q., Cai, S., Qin, N., & Bao, W. (2019) · Scientific Reports · doi:10.1038/s41598-019-40235-z · Cited by 76
Self-citationYan, C., Duan, G., Wu, F., Pan, Y. F., & Wang, J. (2019) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2019.2907626 · Cited by 76
TaxoNN: ensemble of neural networks on stratified microbiome data for disease prediction
Sharma, D., Paterson, A. D., & Xu, W. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa542 · Cited by 76
Self-citationGustot, T., Stadlbauer, V., Laleman, W., Alessandria, C., & Thursz, M. R. (2021) · Journal of Hepatology · doi:10.1016/j.jhep.2020.12.005 · Cited by 76
Over 50,000 Metagenomically Assembled Draft Genomes for the Human Oral Microbiome Reveal New Taxa
Zhu, J., Tian, L., Chen, P., Han, M., Song, L., Tong, X., Sun, X., Yang, F., Lin, Z., Liu, X., et al. (2021) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2021.05.001 · Cited by 76
Self-citationEndogenous ethanol production in health and disease
Meijnikman, A. S., Nieuwdorp, M., & Schnabl, B. (2024) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-024-00937-w · Cited by 76
Bai, L., Zhou, P., Li, D., & Ju, X. (2017) · Journal of Medical Microbiology · doi:10.1099/jmm.0.000568 · Cited by 76
Burz, S. D., Monnoye, M., Philippe, C., Farin, W., Ratziu, V., Strozzi, F., Paillarse, J.-M., Chêne, L., Blottière, H. M., & Gérard, P. (2021) · Microorganisms · doi:10.3390/microorganisms9010199 · Cited by 75
Liu, L., Fu, Q., Li, T., Shao, K., Zhu, X., Cong, Y., & Zhao, X. (2022) · PLoS ONE · doi:10.1371/journal.pone.0262855 · Cited by 75
Self-citationLi, M., Liu, J., Zhu, J., Wang, H., Sun, C., Gao, N., Zhao, X., & Chen, W. (2023) · Gut Microbes · doi:10.1080/19490976.2023.2205386 · Cited by 75
Xiao, X., Zhang, X., Wang, J., Liu, Y., Yan, H., Xing, X., & Yang, J. (2024) · Gut · doi:10.1136/gutjnl-2023-330883 · Cited by 75
Yeoh, Y. K., Chen, Z., Wong, M. C. S., Hui, M., Yu, J., Ng, S. C., Sung, J. J. �., Chan, F. K. L., & Chan, P. K. S. (2020) · Gut · doi:10.1136/gutjnl-2019-319635 · Cited by 74
The oral microbiome profile and biomarker in Chinese type 2 diabetes mellitus patients
Chen, B., Wang, Z., Wang, J., Su, X., Yang, J., Zhang, Q., & Zhang, L. (2020) · Endocrine · doi:10.1007/s12020-020-02269-6 · Cited by 74
Luan, Z., Sun, G., Huang, Y., Yang, Y., Yang, R., Li, C., Wang, T., Tan, D., Qi, S., Chen, J., et al. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.01474 · Cited by 74
The Gut–Vascular Barrier as a New Protagonist in Intestinal and Extraintestinal Diseases
Tommaso, N. D., Santopaolo, F., Gasbarrini, A., & Ponziani, F. R. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24021470 · Cited by 74
The Human Mucosal Mycobiome and Fungal Community Interactions
Witherden, E. A., Shoaie, S., Hall, R. A., & Moyes, D. L. (2017) · Journal of Fungi · doi:10.3390/jof3040056 · Cited by 74
Gut microbiota in liver disease: too much is harmful, nothing at all is not helpful either
Hartmann, P., Chu, H., Duan, Y., & Schnabl, B. (2019) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00370.2018 · Cited by 74
Impact of Antibiotic Resistance Genes in Gut Microbiome of Patients With Cirrhosis
Shamsaddini, A., Gillevet, P. M., Acharya, C., Fagan, A., Gavis, E. A., Sikaroodi, M., McGeorge, S., Khoruts, A., Albhaisi, S. A. M., Fuchs, M. A., et al. (2021) · Gastroenterology · doi:10.1053/j.gastro.2021.04.013 · Cited by 73
Dong, S., jiao, J., Jia, S., Li, G., Zhang, W., Yang, K., Wang, Z., Liu, C., Li, D., & Wang, X. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.634981 · Cited by 73
Gao, M., Wang, H., Luo, H., Sun, Y., Wang, L., Ding, S., Ren, H., Gang, J., Rao, B., Liu, S., et al. (2021) · Advanced Science · doi:10.1002/advs.202102785 · Cited by 73
Self-citationWang, B., Wang, X., Wang, Z., Zhu, K., & Wu, W. (2023) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1102547 · Cited by 73
Schamarek, I., Anders, L., Chakaroun, R., Kovacs, P. L., & Rohde‐Zimmermann, K. (2023) · Nutrition Journal · doi:10.1186/s12937-023-00856-7 · Cited by 73
The gut–liver axis in immune remodeling of hepatic cirrhosis
Guan, H., Zhang, X., Kuang, M., & Yu, J. Q. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.946628 · Cited by 73
Deep learning methods in metagenomics: a review
Roy, G., Prifti, E., Belda, E., & Zucker, J. (2024) · Microbial Genomics · doi:10.1099/mgen.0.001231 · Cited by 73
Self-citationLitwinowicz, K., Choroszy, M., & Waszczuk, E. (2019) · The American Journal of Drug and Alcohol Abuse · doi:10.1080/00952990.2019.1669629 · Cited by 72
Xie, M., An, F., Zhao, Y., Wu, R., & Wu, J. (2020) · LWT · doi:10.1016/j.lwt.2020.109450 · Cited by 72
Alteration of the serum microbiome composition in cirrhotic patients with ascites
Santiago, A., Pozuelo, M., Poca, M., Gely, C., Nieto, J. C., Torras, X., Román, E. M., Campos, D., Sarrabayrouse, G., Vidal, S., et al. (2016) · Scientific Reports · doi:10.1038/srep25001 · Cited by 72
Shao, Y., Huo, D., Peng, Q., Pan, Y., Jiang, S., Liu, B., & Zhang, J. (2017) · Food & Function · doi:10.1039/c7fo00902j · Cited by 72
Gut microbiota translocation promotes autoimmune cholangitis
Ma, H.-D., Zhao, Z.-B., Ma, W.-T., Liu, Q.-Z., Gao, C., Li, L., Wang, J., Tsuneyama, K., Liu, B., Zhang, W., et al. (2018) · Journal of Autoimmunity · doi:10.1016/j.jaut.2018.09.010 · Cited by 72
Self-citationDong, T. S., Katzka, W. R., Lagishetty, V., Luu, K., Hauer, M., Pisegna, J. R., & Jacobs, J. P. (2020) · Scientific Reports · doi:10.1038/s41598-020-59535-w · Cited by 72
Fecal Microbiomes Distinguish Patients With Autoimmune Hepatitis From Healthy Individuals
Lou, J., Jiang, Y., Rao, B., Li, A., Ding, S., Yan, H., Zhou, H., Liu, Z., Shi, Q., Cui, G., et al. (2020) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2020.00342 · Cited by 72
Self-citationShi, Z., Lei, H., Chen, G., Yuan, P., Cao, Z., Ser, H.-L., Zhu, X., Wu, F., Liu, C., Dong, M., et al. (2021) · mSystems · doi:10.1128/msystems.00985-20 · Cited by 71
Self-citationOral Dysbiosis in Pancreatic Cancer and Liver Cirrhosis: A Review of the Literature
Mohammed, H., Varoni, E. M., Cochis, A., Cordaro, M., Gallenzi, P., Patini, R., Staderini, E., Lajolo, C., Rimondini, L., & Rocchetti, V. (2018) · Biomedicines · doi:10.3390/biomedicines6040115 · Cited by 71
Oduaran, O. H., Tamburini, F. B., Sahibdeen, V., Brewster, R., Gómez-Olivé, F. X., Kahn, K., Norris, S. A., Tollman, S. M., Twine, R., Wade, A. N., et al. (2020) · BMC Microbiology · doi:10.1186/s12866-020-02017-w · Cited by 71
Zhu, Q., Hou, Q., Huang, S. W., Ou, Q., Huo, D., Vázquez‐Baeza, Y., Cen, C., Cantu, V., Estaki, M., Chang, H., et al. (2021) · The ISME Journal · doi:10.1038/s41396-021-01016-7 · Cited by 71
Altered gut microbiome, bile acid composition and metabolome in sarcopenia in liver cirrhosis
Aliwa, B. O., Horvath, A., Traub, J., Feldbacher, N., Habisch, H., Fauler, G., Madl, T., & Stadlbauer, V. (2023) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.13342 · Cited by 71
Current advances in the elimination of hepatitis B in China by 2030
Zhang, S., Wang, F., & Zhang, Z. (2017) · Frontiers of Medicine · doi:10.1007/s11684-017-0598-4 · Cited by 71
Zuo, K., Li, J., Wang, P., Liu, Y., Liu, Z., Yin, X., Liu, X., & Yang, X. (2019) · mSystems · doi:10.1128/msystems.00422-19 · Cited by 71
Publisher Correction: The gut–liver axis and the intersection with the microbiome
Tripathi, A., Debelius, J., Brenner, D. A., Karin, M., Loomba, R., Schnabl, B., & Knight, R. (2018) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-018-0031-8 · Cited by 70
Liu, Y., Lin, N., Dai, C., Xu, J., Zhang, Y., Xu, M., Wang, F., Li, Y., & Chen, D. (2021) · Environmental Research · doi:10.1016/j.envres.2021.111775 · Cited by 70
Resistome expansion in disease-associated human gut microbiomes
Fredriksen, S., de Warle, S., van Baarlen, P., Boekhorst, J., & Wells, J. M. (2023) · Microbiome · doi:10.1186/s40168-023-01610-1 · Cited by 70
Cholecystectomy Damages Aging-Associated Intestinal Microbiota Construction
Wang, W., Wang, J., Li, J., Yan, P., Jin, Y., Zhang, R., Yue, W., Guo, Q., & Geng, J. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.01402 · Cited by 70
Li, Y., Cao, W., Liang, S., Yamasaki, S., Chen, X., Shi, L., & Ye, L. (2020) · Scientific Reports · doi:10.1038/s41598-020-72620-4 · Cited by 69
Martínez, J. E., Vargas, A., Pérez, T., Encío, I., Cabello-Olmo, M., & Barajas, M. (2021) · Nutrients · doi:10.3390/nu13092905 · Cited by 69
(2022) · doi:10.1016/j.hsr.2021.100010 · Cited by 69
Odenwald, M. A., Lin, H., Lehmann, C. J., Dylla, N. P., Cole, C. G., Mostad, J. D., Pappas, T. E., Ramaswamy, R., Moran, A., Hutchison, A. L., et al. (2023) · Nature Microbiology · doi:10.1038/s41564-023-01493-w · Cited by 69
King, A. M., Zhang, Z., Glassey, E., Siuti, P., Clardy, J., & Voigt, C. A. (2023) · Nature Microbiology · doi:10.1038/s41564-023-01524-6 · Cited by 69
Metadata
- Authors
- Qin, N., Yang, F., Li, A., Prifti, E., Chen, Y., Shao, L., Guo, J., Le Chatelier, E., Yao, J., Wu, L., Zhou, J., Ni, S., Liu, L., Pons, N., Batto, J. M., Kennedy, S. P., Leonard, P., Yuan, C., Ding, W., Chen, Y., Hu, X., Zheng, B., Qian, G., Xu, W., Ehrlich, S. D., Zheng, S., & Li, L.
- Affiliations
- First Affiliated Hospital Zhejiang University (CN)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Guy's Hospital (GB)
- Corresponding author
- Ehrlich, S. Dusko
- Zheng, Shusen
- Li, Lanjuan
- ORCID
- Venue
- Nature
- Published
- 2014-07-23
- Volume
- 513
- Issue
- 7516
- Pages
- 59-64
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1964027278
- Cited by
- 2,177
- References
- 56
- Citations by year
- 2026: 136 · 2025: 174 · 2024: 215 · 2023: 214 · 2022: 226 · 2021: 283 · 2020: 235 · 2019: 201 · 2018: 161 · 2017: 136 · 2016: 98 · 2015: 83 · 2014: 10
- FWCI
- 44.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- Agence Nationale de la Recherche (ANR-11-DPBS-0001)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Hepatology › Liver Disease and Transplantation
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Keywords
- liver cirrhosis, gut microbiota, microbiome biomarkers, oral bacteria, Veillonella, Streptococcus, diagnostic biomarkers, novel genes, type 2 diabetes, inflammatory bowel disease
- MeSH terms
- Chronic Disease, Diabetes Mellitus, Type 2, Feces, Genetic Markers, Health, Humans, Liver Cirrhosis, Mouth, Phylogeny, Reproducibility of Results, Inflammatory Bowel Diseases, Case-Control Studies, Gastrointestinal Tract, Metagenomics, Microbiota
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.
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 ›
Are you an author, or do you see a problem with this page? Request a review