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 201–300 of 1,001
The role of the gut microbiome in chronic liver disease: the clinical evidence revised
Schwenger, K. J. P., Clermont‐Dejean, N. M., & Allard, J. P. (2019) · JHEP Reports · doi:10.1016/j.jhepr.2019.04.004 · Cited by 179
Alterations of the Human Gut Microbiome in Chronic Kidney Disease
Ren, Z., Fan, Y., Li, A., Shen, Q., Wu, J., Ren, L., Lu, H., Ding, S., Ren, H., Liu, C., et al. (2020) · Advanced Science · doi:10.1002/advs.202001936 · Cited by 179
Self-citationÚbeda, M., Lario, M., Muñoz, L., Borrero, M.-J., Rodríguez-Serrano, M., Sánchez-Díaz, A.-M., del Campo, R., Lledó, L., Pastor, Ó., García-Bermejo, L., et al. (2016) · Journal of Hepatology · doi:10.1016/j.jhep.2015.12.010 · Cited by 178
Gut microbiota and liver diseases
Minemura, M. (2015) · World Journal of Gastroenterology · doi:10.3748/wjg.v21.i6.1691 · Cited by 178
Melatonin alleviates weanling stress in mice: Involvement of intestinal microbiota
Ren, W., Wang, P., Yan, J., Liu, G., Zeng, B., Hussain, T., Peng, C., Yin, J., Li, T., Wei, H., et al. (2017) · Journal of Pineal Research · doi:10.1111/jpi.12448 · Cited by 178
Zheng, Z., & Wang, B. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.775526 · Cited by 178
Microbiota-gut brain axis involvement in neuropsychiatric disorders
Iannone, L. F., Preda, A., Blottière, H. M., Clarke, G., Albani, D., Belcastro, V., Carotenuto, M., Cattaneo, A., Citraro, R., Ferraris, C., et al. (2019) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2019.1638763 · Cited by 177
Ko, C., Liu, Q., Su, H., Zhang, H.-P., Fan, J., Yang, J., Hu, A., Liu, Y., Chou, D., & Zeng, Y. (2019) · Clinical Science · doi:10.1042/cs20180891 · Cited by 176
Mapping Interactions of Microbial Metabolites with Human G-Protein-Coupled Receptors
Colosimo, D. A., Kohn, J. A., Luo, P. M., Piscotta, F. J., Han, S. M., Pickard, A. J., Rao, A., Cross, J. R., Cohen, L. J., & Brady, S. F. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.07.002 · Cited by 176
Gut-Microbiota-Metabolite Axis in Early Renal Function Decline
Barrios, C., Beaumont, M., Pallister, T., Villar, J., Goodrich, J. K., Clark, A., Pascual, J., Ley, R. E., Spector, T. D., Bell, J. T., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0134311 · Cited by 175
Metagenomic profiling of the pro-inflammatory gut microbiota in ankylosing spondylitis
Zhou, C., Zhao, H., Xiao, X., Chen, B.-D., Guo, R., Wang, Q., Chen, H., Zhao, L., Zhang, C.-C., Jiao, Y., et al. (2019) · Journal of Autoimmunity · doi:10.1016/j.jaut.2019.102360 · Cited by 175
Self-citationMaccioni, L., Gao, B., Leclercq, S., Pirlot, B., Horsmans, Y., De Timary, P., Leclercq, I., Fouts, D., Schnabl, B., & Stärkel, P. (2020) · Gut Microbes · doi:10.1080/19490976.2020.1782157 · Cited by 174
Rajoka, M. S. R., Shi, J., Mehwish, H. M., Zhu, J., Li, Q., Shao, D., Huang, Q., & Yang, H. (2017) · Food Science and Human Wellness · doi:10.1016/j.fshw.2017.07.003 · Cited by 174
Qiao, Y., Wu, M., Feng, Y., Zhou, Z., Chen, L., & Chen, F. (2018) · Scientific Reports · doi:10.1038/s41598-018-19982-y · Cited by 174
Nicoletti, A., Ponziani, F. R., Biolato, M., Valenza, V., Marrone, G., Sganga, G., Gasbarrini, A., Miele, L., & Grieco, A. (2019) · World Journal of Gastroenterology · doi:10.3748/wjg.v25.i33.4814 · Cited by 174
Ren, Y., Ye, Z., Yang, L., Jin, L., Wei, W., Deng, Y., Chen, X., Xiao, C., Yu, X., Xu, H., et al. (2016) · Hepatology · doi:10.1002/hep.29008 · Cited by 173
Bacterial Signatures of “Red-Operculum” Disease in the Gut of Crucian Carp (Carassius auratus)
Li, T., Li, H., Gatesoupe, F.-J., She, R., Lin, Q., Yan, X., Li, J., & Li, X. (2017) · Microbial Ecology · doi:10.1007/s00248-017-0967-1 · Cited by 173
Bajaj, J. S., Liu, E., Kheradman, R., Fagan, A., Heuman, D. M., White, M. B., Gavis, E. A., Hylemon, P. B., Sikaroodi, M., & Gillevet, P. M. (2017) · Gut · doi:10.1136/gutjnl-2016-313170 · Cited by 173
Shen, L., Liu, L., & Ji, H. (2017) · Food & Nutrition Research · doi:10.1080/16546628.2017.1361780 · Cited by 172
Self-citationInfections complicating cirrhosis
Piano, S. S., Brocca, A., Mareso, S., & Angeli, P. (2018) · Liver International · doi:10.1111/liv.13645 · Cited by 172
Microbiota-Immune Interaction in the Pathogenesis of Gut-Derived Infection
Wang, C., Li, Q., & Ren, J. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01873 · Cited by 172
Microbiota changes and intestinal microbiota transplantation in liver diseases and cirrhosis
Bajaj, J. S., & Khoruts, A. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2020.01.017 · Cited by 172
Jin, M., Kalainy, S., Baskota, N., Chiang, D., Deehan, E. C., McDougall, C., Tandon, P., Martínez, I., Cervera, C., Walter, J., et al. (2019) · Liver International · doi:10.1111/liv.14106 · Cited by 171
Targeting the gut-liver-immune axis to treat cirrhosis
Tranah, T. H., Edwards, L. A., Schnabl, B., & Shawcross, D. L. (2020) · Gut · doi:10.1136/gutjnl-2020-320786 · Cited by 168
Liver–Microbiome Axis in Health and Disease
Adolph, T. E., Grander, C., Moschen, A. R., & Tilg, H. (2018) · Trends in Immunology · doi:10.1016/j.it.2018.05.002 · Cited by 167
Metagenomic Approaches for Understanding New Concepts in Microbial Science
Alves, L. D. F., Westmann, C. A., Lovate, G. L., de Siqueira, G. M. V., Borelli, T. C., & Guazzaroni, M. (2018) · International Journal of Genomics · doi:10.1155/2018/2312987 · Cited by 167
Periodontitis, chronic liver diseases, and the emerging oral‐gut‐liver axis
Albuquerque‐Souza, E., & Sahingur, S. E. (2022) · Periodontology 2000 · doi:10.1111/prd.12427 · Cited by 165
Metagenomic analysis of antibiotic resistance genes in coastal industrial mariculture systems
Wang, J., Lu, J. J., Zhang, Y., Wu, J., Luo, Y., & Liu, H. (2018) · Bioresource Technology · doi:10.1016/j.biortech.2018.01.035 · Cited by 164
Altered Microbiome in Patients With Cirrhosis and Complications
Acharya, C., & Bajaj, J. S. (2018) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2018.08.008 · Cited by 164
Armour, C. R., Nayfach, S., Pollard, K. S., & Sharpton, T. J. (2019) · mSystems · doi:10.1128/msystems.00332-18 · Cited by 163
Liver Fibrosis: From Pathogenesis to Novel Therapies
Weiskirchen, R., & Tacke, F. (2016) · Digestive Diseases · doi:10.1159/000444556 · Cited by 162
Role of Gut Dysbiosis in Liver Diseases: What Have We Learned So Far?
Fukui, H. (2019) · Diseases · doi:10.3390/diseases7040058 · Cited by 159
Characterization of the salivary microbiome in people with obesity
Wu, Y., Chi, X., Zhang, Q., Chen, F., & Deng, X. (2018) · PeerJ · doi:10.7717/peerj.4458 · Cited by 158
Differential Analysis of Hypertension-Associated Intestinal Microbiota
Dan, X., Mushi, Z., Baili, W., Han, L., Enqi, W., Huanhu, Z., & Li, S. (2019) · International Journal of Medical Sciences · doi:10.7150/ijms.29322 · Cited by 158
GMrepo: a database of curated and consistently annotated human gut metagenomes
Wu, S., Sun, C., Li, Y., Wang, T., Jia, L., Lai, S., Yang, Y., Luo, P., Dai, D., Yang, Y.-Q., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz764 · Cited by 158
The human gut microbiome, a taxonomic conundrum
Sankar, S. A., Lagier, J., Pontarotti, P., Raoult, D., & Fournier, P. (2015) · Systematic and Applied Microbiology · doi:10.1016/j.syapm.2015.03.004 · Cited by 157
Role of gut microbiota in liver disease
Albhaisi, S. A. M., Bajaj, J. S., & Sanyal, A. J. (2019) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00118.2019 · Cited by 155
Machine learning for data integration in human gut microbiome
Li, P., Luo, H., Ji, B., & Nielsen, J. (2022) · Microbial Cell Factories · doi:10.1186/s12934-022-01973-4 · Cited by 155
Gluud, L. L., Vilstrup, H., & Morgan, M. Y. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003044.pub4 · Cited by 154
Hong, X., Chen, J., Liu, L., Wu, H. G., Tan, H.-Q., Xie, G., Xu, Q., Zou, H., Yu, W., Wang, L., et al. (2016) · Scientific Reports · doi:10.1038/srep26621 · Cited by 154
Self-citationTime for food: The impact of diet on gut microbiota and human health
Zhang, N., Ju, Z., & Zuo, T. (2018) · Nutrition · doi:10.1016/j.nut.2017.12.005 · Cited by 153
Jin, Y., Zeng, Z., Wu, Y., Zhang, S., & Fu, Z. (2015) · Toxicological Sciences · doi:10.1093/toxsci/kfv115 · Cited by 152
Dark matter in host-microbiome metabolomics: Tackling the unknowns–A review
Peisl, B. Y. L., Schymanski, E., & Wilmes, P. (2017) · Analytica Chimica Acta · doi:10.1016/j.aca.2017.12.034 · Cited by 152
Meroni, M., Longo, M., & Dongiovanni, P. (2019) · Nutrients · doi:10.3390/nu11112642 · Cited by 152
Gut microbiome alterations in patients with stage 4 hepatitis C
Mahmoud, A., Adel, A., EL-Gendy, A. O., Essam, T. M., & Aziz, R. K. (2016) · Gut Pathogens · doi:10.1186/s13099-016-0124-2 · Cited by 151
Verhelst, X., Dias, A. M., Colombel, J., Vermeire, S., Vlierberghe, H. V., Callewaert, N., & Pinho, S. S. (2019) · Gastroenterology · doi:10.1053/j.gastro.2019.08.060 · Cited by 151
Linking microbiota to human diseases: a systems biology perspective
Wu, H., Tremaroli, V., & Bäckhed, F. (2015) · Trends in Endocrinology & Metabolism · doi:10.1016/j.tem.2015.09.011 · Cited by 150
Friedman, E. S., Li, Y., Shen, T.-C. D., Jiang, J., Chau, L., Adorini, L., Babakhani, F., Edwards, J., Shapiro, D., Zhao, C., et al. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.08.022 · Cited by 149
Faecal microbiome-based machine learning for multi-class disease diagnosis
Su, Q., Liu, Q., Lau, R. I., Zhang, J., Xu, Z., Yeoh, Y. K., Leung, T. W. H., Tang, W., Zhang, L., Liang, Q., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34405-3 · Cited by 149
Zeng, Y., Chen, S., Fu, Y., Wu, W., Chen, T., Chen, J., Yang, B., & Ou, Q. (2020) · Journal of Viral Hepatitis · doi:10.1111/jvh.13216 · Cited by 148
Li, S., Qi, Y., Chen, L., Qu, D., Li, Z., Gao, K., Chen, J., & Sun, Y. (2018) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2018.11.271 · Cited by 147
Li, G., Yang, M. J., Zhou, K., Zhang, L., Tian, L., Lv, S., Jin, Y. T., Qian, W., Xiong, H., Lin, R., et al. (2015) · Journal of Microbiology and Biotechnology · doi:10.4014/jmb.1412.12047 · Cited by 146
Li, T., Long, M., Ji, C., Shen, Z., Gatesoupe, F.-J., Zhang, X., Zhang, Q., Zhang, L., Zhao, Y., Liu, X., et al. (2016) · Scientific Reports · doi:10.1038/srep30606 · Cited by 145
Self-citationDysbiosis signature of mycobiota in colon polyp and colorectal cancer
Gao, R., Kong, C., Li, H., Huang, L., Qu, X., Qin, N., & Qin, H. (2017) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/s10096-017-3085-6 · Cited by 145
Self-citationMulti-omic integration of microbiome data for identifying disease-associated modules
Muller, E., Shiryan, I., & Borenstein, E. (2024) · Nature Communications · doi:10.1038/s41467-024-46888-3 · Cited by 145
Jian, X., Zhu, Y., Ouyang, J., Wang, Y., Lei, Q., Xia, J., Guan, Y., Zhang, J., Guo, J., He, Y., et al. (2020) · Microbiome · doi:10.1186/s40168-020-00854-5 · Cited by 144
Self-citationLu, H., Ren, Z., Li, A., Li, J., Xu, S., Zhang, H., Jiang, J., Yang, J., Luo, Q., Zhou, K., et al. (2019) · Journal of Oral Microbiology · doi:10.1080/20002297.2018.1563409 · Cited by 143
Self-citationXu, L., Zhang, Y., Li, X., Li, C., Hu, H., Hu, J., Liu, M., Yang, Q. Z., Gu, P., Li, J., et al. (2025) · iMeta · doi:10.1002/imt2.270 · Cited by 143
Cheng, R., Wang, L., Le, S., Yang, Y., Zhao, C., Zhang, X., Yang, X., Xu, T., Xu, L., Wiklund, P., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29968-0 · Cited by 142
Gut OncoMicrobiome Signatures (GOMS) as next-generation biomarkers for cancer immunotherapy
Thomas, A. M., Fidelle, M., Routy, B., Kroemer, G., Wargo, J. A., Segata, N., & Zitvogel, L. (2023) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-023-00785-8 · Cited by 141
Microbiota, NASH, HCC and the potential role of probiotics
Brandi, G., Lorenzo, S. D., Candela, M., Pantaleo, M. A., Bellentani, S., Tovoli, F., Saccoccio, G., & Biasco, G. (2017) · Carcinogenesis · doi:10.1093/carcin/bgx007 · Cited by 141
Chen, M., Liao, Z., Lu, B., Wang, M., Lin, L., Zhang, S., Li, Y., Liu, D., Liao, Q., & Xie, Z. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.02380 · Cited by 141
Zhang, J., Liu, S., Sun, H., Jiang, Z., Xu, Y., Mao, J., Qian, B., Wang, L., & Mao, J. (2021) · Food Research International · doi:10.1016/j.foodres.2021.110707 · Cited by 141
A prominent glycyl radical enzyme in human gut microbiomes metabolizes trans -4-hydroxy- l -proline
Levin, B. J., Huang, Y. Y., Peck, S. C., Wei, Y., Campo, A. M.-D., Marks, J. A., Franzosa, E. A., Huttenhower, C., & Balskus, E. P. (2017) · Science · doi:10.1126/science.aai8386 · Cited by 140
Gut Metagenomics-Derived Genes as Potential Biomarkers of Parkinson’s Disease
Qian, Y., Yang, X., Xu, S., Huang, P., Li, B., Du, J., He, Y., Su, B., Xu, L.-M., Wang, L., et al. (2020) · Brain · doi:10.1093/brain/awaa201 · Cited by 139
Xun, Z., Zhang, Q., Xu, T., Chen, N., & Chen, F. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.01136 · Cited by 139
Ponziani, F. R., Zocco, M. A., Cerrito, L., Gasbarrini, A., & Pompili, M. (2018) · Expert Review of Gastroenterology & Hepatology · doi:10.1080/17474124.2018.1481747 · Cited by 139
Sun, L., Ma, L., Zhang, H., Cao, Y., Wang, C., Hou, N., Huang, N., von Deneen, K. M., Zhao, C., Shi, Y., et al. (2019) · Theranostics · doi:10.7150/thno.31562 · Cited by 139
Zhao, M., Zhao, L., Xiong, X., He, Y. M., Huang, W., Liu, Z., Liang, J., Pan, B., Guo, X., Wang, L., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.02.033 · Cited by 138
Self-citationZheng, R., Wang, G., Pang, Z., Ran, N., Gu, Y., Guan, X., Yuan, Y., Zuo, X., Pan, H., Zheng, J., et al. (2020) · Cancer Medicine · doi:10.1002/cam4.3045 · Cited by 138
Harmsen, H. J. M., & de Goffau, M. C. (2016) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-31248-4_7 · Cited by 137
Gut-derived systemic inflammation as a driver of depression in chronic liver disease
Kronsten, V. T., Tranah, T. H., Pariante, C. M., & Shawcross, D. L. (2021) · Journal of Hepatology · doi:10.1016/j.jhep.2021.11.008 · Cited by 137
The microbiome and hepatobiliary-pancreatic cancers
Mima, K., Nakagawa, S., Sawayama, H., Ishimoto, T., Imai, K., Iwatsuki, M., Hashimoto, D., Baba, Y., Yamashita, Y., Yoshida, N., et al. (2017) · Cancer Letters · doi:10.1016/j.canlet.2017.05.001 · Cited by 136
Reiman, D. J., Metwally, A. A., Sun, J., & Dai, Y. D. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2020.2993761 · Cited by 136
Han, L., Zhao, L., Zhou, Y., Yang, C., Xiong, T., Lü, L., Deng, Y., Luo, W., Chen, Y., Qiu, Q., et al. (2021) · The ISME Journal · doi:10.1038/s41396-021-01123-5 · Cited by 135
Self-citationBerry, D., Kuzyk, O., Rauch, I., Heider, S., Schwab, C., Hainzl, E., Decker, T., Müller, M. M., Strobl, B., Schleper, C., et al. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.01408 · Cited by 133
The microbiota and the gut–liver axis in primary sclerosing cholangitis
Hov, J. R., & Karlsen, T. H. (2022) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-022-00690-y · Cited by 133
Gut Homeostasis, Microbial Dysbiosis, and Opioids
Wang, F., & Roy, S. (2016) · Toxicologic Pathology · doi:10.1177/0192623316679898 · Cited by 132
Zhang, H., Yan, A., Liu, X., Ma, Y., Zhao, F., Wang, M., Loor, J. J., & Wang, H. (2020) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2020.124489 · Cited by 132
The Role of the Gut Microbiome in Liver Cirrhosis Treatment
Lee, N. Y., & Suk, K. T. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms22010199 · Cited by 131
Fu, M., Zhang, X., Liang, Y., Lin, S., Qian, W., & Fan, S. (2020) · mBio · doi:10.1128/mbio.03242-19 · Cited by 130
Khan, A., Ding, Z., Ishaq, M. H., Bacha, A. S., KHAN, I. A., Hanif, A., Li, W., & Guo, X. (2021) · International Journal of Biological Sciences · doi:10.7150/ijbs.56214 · Cited by 130
Deep sequencing reveals microbiota dysbiosis of tongue coat in patients with liver carcinoma
Lu, H., Ren, Z., Li, A., Zhang, H., Jiang, J., Xu, S., Luo, Q., Zhou, K., Sun, X., Zheng, S., et al. (2016) · Scientific Reports · doi:10.1038/srep33142 · Cited by 129
Self-citationSpecific Gut Microbiome and Serum Metabolome Changes in Lung Cancer Patients
Zhao, F., An, R., Wang, L., Shan, J., & Wang, X. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.725284 · Cited by 129
Benchmarking second and third-generation sequencing platforms for microbial metagenomics
Meslier, V., Quinquis, B., Silva, K. D., Oñate, F. P., Pons, N., Roume, H., Podar, M., & Almeida, M. (2022) · Scientific Data · doi:10.1038/s41597-022-01762-z · Cited by 129
Self-citationPaneth cell α-defensins and enteric microbiota in health and disease
Nakamura, K., Sakuragi, N., Takakuwa, A., & Ayabe, T. (2015) · Bioscience of Microbiota Food and Health · doi:10.12938/bmfh.2015-019 · Cited by 128
Sung, C. M., Lin, Y.-F., Chen, K.-F., Ke, H.-M., Huang, H.-Y., Gong, Y.-N., Tsai, W.-S., You, J.-F., Lu, M. J., Cheng, H.-T., et al. (2019) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2019.04.008 · Cited by 127
Bajaj, J. S. (2015) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.13435 · Cited by 127
Gut roundtable meeting paper: selected recent advances in hepatocellular carcinoma
Gerbes, A. L., Zoulim, F., Tilg, H., Dufour, J., Bruix, J., Paradis, V., Salem, R., Peck‐Radosavljevic, M., Galle, P. R., Greten, T. F., et al. (2017) · Gut · doi:10.1136/gutjnl-2017-315068 · Cited by 127
Nonalcoholic Fatty Liver Disease and the Gut-Liver Axis: Exploring an Undernutrition Perspective
Bauer, K. C., Littlejohn, P. T., Ayala, V., Creus-Cuadros, A., & Finlay, B. B. (2022) · Gastroenterology · doi:10.1053/j.gastro.2022.01.058 · Cited by 127
Metagenome-genome-wide association studies reveal human genetic impact on the oral microbiome
Liu, X., Tong, X., Zhu, J., Tian, L., Jie, Z., Zou, Y., Lin, X., Liang, H., Li, W., Ju, Y., et al. (2021) · Cell Discovery · doi:10.1038/s41421-021-00356-0 · Cited by 127
Yan, Q., Li, S., Yan, Q., Huo, X., Wang, C., Wang, X., Sun, Y., Zhao, W., Yu, Z., Zhang, Y., et al. (2024) · Cell · doi:10.1016/j.cell.2024.04.043 · Cited by 127
Ren, Z., Chen, X., Hong, L., Zhao, X., Cui, G., Li, A., Liu, Y., Zhou, L., Sun, R., Shen, S., et al. (2019) · Small · doi:10.1002/smll.201905233 · Cited by 126
Self-citationLau, H. C.-H., Zhang, X., & Yu, J. (2025) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-025-01089-1 · Cited by 126
Bajaj, J. S., Idilman, R., Mabudian, L., Hood, M., Fagan, A., Turan, D., White, M. B., Karakaya, F., Wang, J., Atalay, R., et al. (2018) · Hepatology · doi:10.1002/hep.29791 · Cited by 125
Sex-Specific Effects of Organophosphate Diazinon on the Gut Microbiome and Its Metabolic Functions
Gao, B., Bian, X., Mahbub, R., & Lü, K. (2016) · Environmental Health Perspectives · doi:10.1289/ehp202 · Cited by 125
Juanola, O., Ferrusquía‐Acosta, J., García-Villalba, R., Zapater, P., Magaz, M., Marín, A., Olivas, P., Baiges, A., Bellot, P., Turón, F., et al. (2019) · The FASEB Journal · doi:10.1096/fj.201901327r · Cited by 125
Bajaj, J. S., Acharya, C., Fagan, A., White, M. B., Gavis, E. A., Heuman, D. M., Hylemon, P. B., Fuchs, M. A., Puri, P., Schubert, M. L., et al. (2018) · The American Journal of Gastroenterology · doi:10.1038/s41395-018-0085-9 · Cited by 124
Khor, B., Snow, M., Herrman, E., Ray, N., Mansukhani, K., Patel, K. A., Said-Al-Naief, N. A. H., Maier, T., & Machida, C. A. (2021) · Microorganisms · doi:10.3390/microorganisms9030496 · Cited by 123
Strain-level dissection of the contribution of the gut microbiome to human metabolic disease
Zhang, C., & Zhao, L. (2016) · Genome Medicine · doi:10.1186/s13073-016-0304-1 · Cited by 122
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