The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
Multi-omics analyses of the ulcerative colitis gut microbiome link Bacteroides vulgatus proteases with disease severity
Open accessAbstract
Ulcerative colitis (UC) is driven by disruptions in host-microbiota homoeostasis, but current treatments exclusively target host inflammatory pathways. To understand how host-microbiota interactions become disrupted in UC, we collected and analysed six faecal- or serum-based omic datasets (metaproteomic, metabolomic, metagenomic, metapeptidomic and amplicon sequencing profiles of faecal samples and proteomic profiles of serum samples) from 40 UC patients at a single inflammatory bowel disease centre, as well as various clinical, endoscopic and histologic measures of disease activity. A validation cohort of 210 samples (73 UC, 117 Crohn's disease, 20 healthy controls) was collected and analysed separately and independently. Data integration across both cohorts showed that a subset of the clinically active UC patients had an overabundance of proteases that originated from the bacterium Bacteroides vulgatus. To test whether B. vulgatus proteases contribute to UC disease activity, we first profiled B. vulgatus proteases found in patients and bacterial cultures. Use of a broad-spectrum protease inhibitor improved B. vulgatus-induced barrier dysfunction in vitro, and prevented colitis in B. vulgatus monocolonized, IL10-deficient mice. Furthermore, transplantation of faeces from UC patients with a high abundance of B. vulgatus proteases into germfree mice induced colitis dependent on protease activity. These results, stemming from a multi-omics approach, improve understanding of functional microbiota alterations that drive UC and provide a resource for identifying other pathways that could be inhibited as a strategy to treat this disease.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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
“Some of the correlated proteases included serine and metalloproteases that largely function in the extracellular space and may exacerbate disease activity.”
From The emerging roles of bacterial proteases in intestinal diseases (2023) · cites this paper as [33]
In the citing paper
“A subset of the clinically active UC patients had an overabundance of proteases derived from the bacterium Bacteroides vulgatus.”
From The emerging roles of bacterial proteases in intestinal diseases (2023) · cites this paper as [33]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Self-citationReproducible, interactive, scalable and extensible microbiome data science using QIIME 2
Bolyen, E., Rideout, J. R., Dillon, M. R., Bokulich, N. A., Abnet, C. C., Al-Ghalith, G. A., Alexander, H., Alm, E. J., Arumugam, M., Asnicar, F., et al. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0209-9 · Cited by 23,742
Self-citationFast and sensitive protein alignment using DIAMOND
Buchfink, B., Xie, C., & Huson, D. H. (2015) · Nature Methods · doi:10.1038/nmeth.3176 · Cited by 14,201
Salmon provides fast and bias-aware quantification of transcript expression
Patro, R., Duggal, G., Love, M. I., Irizarry, R. A., & Kingsford, C. (2017) · Nature Methods · doi:10.1038/nmeth.4197 · Cited by 12,700
Prodigal: prokaryotic gene recognition and translation initiation site identification
Hyatt, D., Chen, G.-L., LoCascio, P. F., Land, M., Larimer, F. W., & Hauser, L. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-119 · Cited by 12,692
STRING v10: protein–protein interaction networks, integrated over the tree of life
Szklarczyk, D., Franceschini, A., Wyder, S., Forslund, K., Heller, D., Huerta-Cepas, J., Simonovic, M., Roth, A., Santos, A., Tsafou, K. P., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1003 · Cited by 10,436
Li, D., Liu, C.-M., Luo, R., Sadakane, K., & Lam, T. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv033 · Cited by 10,133
Cited by
Sorted by citations
Items 201–300 of 386
Zou, J., Jiang, X., Dong, N., Zong, X., Liu, B., & Guo, B. (2025) · Food Hydrocolloids · doi:10.1016/j.foodhyd.2025.112273 · Cited by 6
Kvitne, K. E., Zuffa, S., Charron‐Lamoureux, V., Mohanty, I., Patan, A., Mannochio-Russo, H., Zemlin, J., Burnett, L. A., Zhang, L. S., Cecala, M., et al. (2025) · npj Biofilms and Microbiomes · doi:10.1038/s41522-025-00899-0 · Cited by 6
Self-citationLi, G., Wei, Y., Wang, W., Hu, Z., Yang, Q., He, L., Gao, Y., & Lai, X. (2026) · iScience · doi:10.1016/j.isci.2026.114861 · Cited by 7
Shi, Y., Sheng, K.-W., Zhao, H.-N., Liu, C., & Wang, H. (2024) · Frontiers in Bioscience-Landmark · doi:10.31083/j.fbl2909338 · Cited by 6
Research trends of omics in ulcerative colitis: A bibliometric analysis
Zhang, H., Ni, Y., Ji, H., Liu, H., & Liu, S. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1115240 · Cited by 6
Yan, J.-Y., Lin, T.-H., Jong, Y.-T., Hsueh, J.-W., Wu, S.-H., Lo, H., Chen, Y., & Pan, C.-H. (2024) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2023.1278600 · Cited by 6
Cmtm4 deficiency exacerbates colitis by inducing gut dysbiosis and S100a8/9 expression
Qiao, M., Ning, J., Lu, J., Zhang, J., Zu, M., Zhang, J., Han, X., Zheng, H., Gong, Y., Hao, X., et al. (2024) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2024.03.009 · Cited by 6
Robeson, M. S., Manna, K., Randolph, C., Byrum, S. D., & Hakkak, R. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.834776 · Cited by 6
Gut microbiomes and treatment-resistant ulcerative colitis: a case-control study using qPCR
Ahmadi, A., Shokoohizadeh, L., Sheikhesmaili, F., Mirzaei, M. K., Mohammadi, A., Nikkhoo, B., Khodaei, H., Alikhani, M. Y., & Yousefimashouf, R. (2025) · BMC Microbiology · doi:10.1186/s12866-025-03963-z · Cited by 5
Wang, Y., Yan, R., Ye, L.-R., Tang, C., Zhou, H., & Zhao, G. (2025) · Journal of Inflammation Research · doi:10.2147/jir.s505423 · Cited by 5
Zhang, M., Dou, Z., Yang, L., Wang, H., Tian, B., Hong, S., Yang, Q., Lu, J. G., & Chen, X. (2025) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2025.110222 · Cited by 6
Fondevila, M. F., Kreimeyer, H., Hsu, C. L., Tamargo‐Azpilicueta, J., Day, L. Z., Gritsenko, M., Attah, K., Cabré, N., Harberts, A., Tonetti, F. R., et al. (2026) · Journal of Hepatology · doi:10.1016/j.jhep.2026.01.013 · Cited by 5
Self-citationZheng, Y. Q., Liu, J., Ma, Y., Zhang, Y., Liu, H., & Chen, R. (2026) · Journal of Nanobiotechnology · doi:10.1186/s12951-026-04208-5 · Cited by 5
Liang, S., Sun, Y., Miao, Z., Li, B.-Y., Xing, Z., Xie, Y., Cai, E., Li, S., Liu, P., Yang, M., et al. (2026) · Cell Metabolism · doi:10.1016/j.cmet.2026.02.012 · Cited by 10
Modeling microbiome-trait associations with taxonomy-adaptive neural networks
Jiang, Y., Aton, M., Zhu, Q., & Lu, Y. Y. (2025) · Microbiome · doi:10.1186/s40168-025-02080-3 · Cited by 9
Self-citationUntangling the role of the microbiome across the stages of HIV disease
Ortiz, A. M., & Brenchley, J. M. (2024) · Current Opinion in HIV and AIDS · doi:10.1097/coh.0000000000000870 · Cited by 5
Early subclinical stages of the inflammatory bowel diseases: insights from human and animal studies
Kelly, C., Sartor, R. B., & Rawls, J. F. (2024) · American Journal of Physiology-Gastrointestinal and Liver Physiology · doi:10.1152/ajpgi.00252.2024 · Cited by 6
Disease-driven restructuring of the gut microbiome underlies inflammatory bowel disease dysbiosis
Ding, Z., Ren, K., Xu, Y., Feng, T., Cui, K., Liu, Q., & Liao, C. (2026) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1744574 · Cited by 5
Effect of Bacteroides on Crohn’s disease
Wei, X., & Tang, D. (2024) · Zeitschrift für Gastroenterologie · doi:10.1055/a-2435-2659 · Cited by 4
Stentz, R., Jones, E. J., Gul, L., Latousakis, D., Parker, A., Brion, A., Goldson, A. J., Gotts, K., & Carding, S. R. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26094080 · Cited by 5
Ming, S., Ou, J., Huang, Y., Tang, Z., Qin, Y., Ma, H., Gan, S., & Li, Z. (2025) · Open Life Sciences · doi:10.1515/biol-2025-1106 · Cited by 4
Assessing the effects of tofacitinib on the gut microbiome in inflammatory bowel disease
Favaron, A., Sangfuang, N., McCoubrey, L. E., Awad, A., Ghyselinck, J., Marzorati, M., Verstrepen, L., Munck, J. D., Medts, J. D., Basit, A. W., et al. (2025) · European Journal of Pharmaceutical Sciences · doi:10.1016/j.ejps.2025.107365 · Cited by 5
Pathobionts in the microbiome: Drivers of disease and targets for treatment
Bharathi, S., Rajan, Y. A. P. A. S., Prakash, S., Immanuel, G., & Ramasubburayan, R. (2025) · Microbial Pathogenesis · doi:10.1016/j.micpath.2025.108268 · Cited by 6
Huang, J., Qin, Q., Li, X., Jiang, K., Xu, J., Mao, Y., Kang, W., Gao, R., Cheng, Y., Zhao, W., et al. (2026) · Gut Microbes · doi:10.1080/19490976.2026.2641260 · Cited by 4
Monshizadeh, M., Hong, Y., & Ye, Y. (2024) · Bioinformatics Advances · doi:10.1093/bioadv/vbae203 · Cited by 4
Insights on Wet and Dry Workflows for Human Gut Metaproteomics
Marzano, V., Mortera, S. L., & Putignani, L. (2024) · PROTEOMICS · doi:10.1002/pmic.202400242 · Cited by 5
PhyloMix: enhancing microbiome-trait association prediction through phylogeny-mixing augmentation
Jiang, Y., Liao, D., Zhu, Q., & Lu, Y. Y. (2025) · Bioinformatics · doi:10.1093/bioinformatics/btaf014 · Cited by 4
Self-citationChen, S., Zhang, D., Li, D., Zeng, F., Chen, C., & Bai, F. (2025) · Medicine · doi:10.1097/md.0000000000041262 · Cited by 4
Gut microbiota dysbiosis: the hidden roles in human aging and age-related diseases
Zhan, Y., Su, W., & Liu, X. (2025) · Oral Science and Homeostatic Medicine · doi:10.26599/oshm.2025.9610012 · Cited by 4
Chen, H., Huang, S., Zhao, Y., Sun, R., Wang, J., Yao, S., Huang, J., & Yu, Z. (2024) · Microbiology Spectrum · doi:10.1128/spectrum.03735-23 · Cited by 4
Luo, Y., Pedersen, C.-E. T., Eliasen, A. U., Brustad, N., Chen, L., Wang, N., Jiang, J., Trivedi, U., Li, X., Sørensen, S. J., et al. (2025) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2025.04.034 · Cited by 3
Wong, S.-Y., Estevinho, M. M., Heaney, T., Marshall, A., Giselbrecht, E., Daniel, S. G., Zhou, C., Rosas-Villegas, A., Jang, K. K., Yang, H., et al. (2025) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2025.101533 · Cited by 3
Zhang, M., Wang, W., Li, W., Wang, Z., Bi, K., Li, Y., Wu, Y., Zhao, Y., Yang, R., & Qing-ping, D. (2025) · Foods · doi:10.3390/foods14111994 · Cited by 3
Dong, Z., Zhou, S., Xia, X., Yip, H. C., Leung, K. K. C., Chan, M. S., & Chiu, P. W. Y. (2025) · Stem Cell Research & Therapy · doi:10.1186/s13287-025-04551-8 · Cited by 3
Diao, Z., Fu, J., Zhao, J., Wang, J., Liu, W., Zhang, Y., & He, Z. (2025) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2025.139943 · Cited by 3
Napier, B. A., Allegretti, J. R., Feuerstadt, P., Kelly, C., Hise, N. W. V., Jäger, R., Stuivenberg, G. A., Kassam, Z., & Reid, G. (2026) · Antibiotics · doi:10.3390/antibiotics15020138 · Cited by 6
Mathematical Foundations of Beta Diversity: Why Common Metrics Fail in Microbiome Analysis
Zhu, Z., Zhang, Y., Li, W., Greenacre, M., Saha, S., Shi, Y., & Zhang, L. (2026) · Journal of Statistical Theory and Applications · doi:10.1007/s44199-025-00154-7 · Cited by 3
Li, C., Zhao, L., Wang, X., Wu, J., Chen, H., & Lü, Q. (2026) · Journal of Nanobiotechnology · doi:10.1186/s12951-026-04209-4 · Cited by 5
Li, M., Cui, J., Qu, R., Liu, R., Sun, Y., Li, P., Liu, J., Low, A., Huang, X., Gan, F., et al. (2026) · Microbiome · doi:10.1186/s40168-026-02389-7 · Cited by 4
Unraveling the mechanism of malancao in treating ulcerative colitis: A multi-omics approach
Huang, X., Wu, L.-N., Huang, Q., Zhou, Y., Qing, L., Xiong, F., Dong, H.-P., Zhou, T.-M., Wang, K., & Liu, J. (2024) · World Journal of Clinical Cases · doi:10.12998/wjcc.v12.i17.3105 · Cited by 3
Targeting microbial pathogenic mechanisms as a novel therapeutic strategy in IBD
Miller, P. (2024) · Molecular Medicine · doi:10.1186/s10020-024-00840-9 · Cited by 3
Preventive effects of xanthohumol in APP/PS1 mice based on multi-omics atlas
Liu, W., Chen, X., Chen, Y., Lin, Z., Huang, X., Zhang, Z., & Liu, J. (2025) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2025.111316 · Cited by 4
Metaproteomics of human microbiota: Progress and key challenges for precision medicine
Feng, Y., Liu, D., Chen, Y., Zhang, W., & He, Y. (2025) · Process Biochemistry · doi:10.1016/j.procbio.2025.05.013 · Cited by 3
Sun, H., Peng, H., Hong, X., Chen, F., Zheng, W., Gao, Y., Xu, Y., Hao, H., & Wang, K. (2025) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2025.110494 · Cited by 3
Kövilein, J., Sorbie, A., Khaloian, S., Küntzel, V., von Stern, M., Ahmed, M., Jarosch, S., Remke, M., Metwaly, A., Reuss, E. M., et al. (2025) · Journal of Crohn s and Colitis · doi:10.1093/ecco-jcc/jjaf102 · Cited by 3
Kim, H. S., Kim, B., Nam, B., Oh, S. J., Park, S. K., Lee, S. W., Lee, J., Jo, S., Lee, Y.-A., Lee, J., et al. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-092075 · Cited by 3
Pang, Y., Xu, X., Li, D., Ge, Y., Liang, J., Xiong, X., Wen, S. P., Li, X., Wang, Y., Li, X., et al. (2025) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-025-13546-7 · Cited by 3
Emerging tools for understanding the human microbiome
Ghosh, T. S., & Das, M. (2022) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2022.06.027 · Cited by 3
Siu, P. L. K., Choy, C. T., Chan, H. H. Y., Leung, R. K. K., Chan, U. K., Zhou, J., Wong, C. H., Lee, Y. W., Chan, H. W., Lo, C. J. Y., et al. (2024) · Microorganisms · doi:10.3390/microorganisms12010208 · Cited by 3
Xu, L., Wang, Y., Yan, D., Li, M., Lin, Q., Chen, Z., Wu, M., & Zhong, G. (2024) · Life Sciences · doi:10.1016/j.lfs.2024.123237 · Cited by 3
Enterococcus and Eggerthella species are enriched in the gut microbiomes of COVID-19 cases in Uganda
Agudelo, C., Kateete, D. P., Nasinghe, E., Kamulegeya, R., Lubega, C., Mbabazi, M., Baker, N., Lin, K., Liu, C. C., Kasambula, A. S., et al. (2025) · Gut Pathogens · doi:10.1186/s13099-025-00678-4 · Cited by 4
Yang, F., Bai, T., Zhang, X., Meng, X., Yuan, J., Wu, Z., Yang, A., Chen, H., & Li, X. (2025) · Food Bioscience · doi:10.1016/j.fbio.2025.106588 · Cited by 3
Zhang, Z., Chen, Y., Wang, C., Guo, M., Cai, L., He, J., Liang, Y., Wong, G., & Chen, L. (2025) · Informatics · doi:10.3390/informatics12030068 · Cited by 3
Uniform bacterial genetic diversity along the gut
Wasney, M., Briscoe, L., Wolff, R., Ghezzi, H., Tropini, C., & Garud, N. R. (2026) · Nature Communications · doi:10.1038/s41467-026-70705-8 · Cited by 3
Influence of perinatal ampicillin exposure on maternal fecal microbial and metabolic profilesPreprint
Zuffa, S., Thomas, S. P., Mohanty, I., Abiead, Y. E., Deleray, V., Kvitne, K. E., Kousha, A., Suzuki, E., Tsai, C., Nguyen, G., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.30.662372 · Cited by 3
Self-citationPEGylated bacteria restore intestinal mucosal barrier
Zu, M., Xia, X. S., & Xiao, B. (2024) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2024.06.016 · Cited by 2
Cui, D., Li, M., Liu, M., Shen, M., Liu, Y., Tang, H., Tang, H., Li, S., Li, S., Yao, J., et al. (2024) · International Immunopharmacology · doi:10.1016/j.intimp.2024.113155 · Cited by 2
Rezai, S., Ghorbani, E., Khazaei, M., Nazari, S. E., Rahmani, F., Naimi, H., Afshari, A., Avan, A., Ryzhikov, M., Soleimanpour, S., et al. (2024) · Advanced Biomedical Research · doi:10.4103/abr.abr_157_24 · Cited by 2
An exciting future for microbial molecular biology and physiology
Bridges, A. A., Guthrie, L., Lehman, M. K., Kellogg, E. H., Miranda, S. W., Pountain, A. W., Shiver, A. L., Varble, A., Kaplan, H. B., Shank, E. A., et al. (2025) · mBio · doi:10.1128/mbio.00694-25 · Cited by 8
Yang, X., Li, Y., Bai, B., Fan, Q., Liu, F., Xie, S., Li, Y., Li, X., Han, J., Li, Y., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-12050-2 · Cited by 2
Geng, X., Liu, J., Feng, H., Xu, J., Gu, J., Ding, X., Zhou, G., Zhang, T.-S., Liu, Y.-S., Wang, M., et al. (2025) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2025.147318 · Cited by 3
Cai, M., Liu, Y.-D., Tao, H., Tang, L., Zhao, L., Lan, W., Liu, X., Sheng, Z., Peng, Y., Sun, W., et al. (2025) · Medicine · doi:10.1097/md.0000000000044206 · Cited by 2
Omics and Multiomics-Based Diagnostics for Invasive Candidiasis: Toward Precision Medicine
Pitarch, A., Arribas, V., & Gil, C. (2025) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2025.101463 · Cited by 2
Phylo-Spec: a phylogeny-fusion deep learning model advances microbiome status identification
Zhang, J., Meng, F. G., Sun, Y., Xu, W., Wu, S., & Su, X. (2025) · mSystems · doi:10.1128/msystems.01453-25 · Cited by 2
Yan, J., Yu, T., Zhao, X., Liu, Z., Sun, H., Zhang, X., Liu, Y., Wang, W., Meng, L., She, J., et al. (2025) · Advanced Composites and Hybrid Materials · doi:10.1007/s42114-025-01519-3 · Cited by 2
Wang, H., Zhang, M., Hua, B., He, J., Yang, Y., Wu, W. ‐., Zhang, Y., Wei, F., Cai, Y., & Wang, Q. (2025) · Clinical Rheumatology · doi:10.1007/s10067-025-07865-3 · Cited by 2
Huan, P., Zhong, Y., Ma, T., Zhuang, Y., Chen, S., Pan, H., Ning, D., & Sun, L. (2026) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.5c15462 · Cited by 2
Zhang, J.-X., Dong, S.-Q., Hu, Y.-X., Ning, H.-J., Su, Q.-Q., Sun, J., Lin, Y.-N., Ke, X.-Q., Li, Y., Zhang, Y., et al. (2026) · Chinese Medicine · doi:10.1186/s13020-026-01382-4 · Cited by 2
The dual roles of microorganisms in inflammatory diseases: initiators and regulators
Liao, Y., Jiang, R., Zhang, H., & Zhang, W. (2026) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408363.2026.2637106 · Cited by 2
Liu, J.-B., Li, S., Sun, G.-S., Zhao, R., Liu, H., Lin, Z., Shan, P.-F., Yang, W., & Miao, Z. (2026) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.5c17487 · Cited by 3
Metaproteomics for Coinfections in the Upper Respiratory Tract: The Case of COVID-19
Bihani, S., Gupta, A., Mehta, S., Rajczewski, A. T., Griffin, T. J., Jagtap, P. D., & Srivastava, S. (2024) · Methods in molecular biology · doi:10.1007/978-1-0716-3910-8_15 · Cited by 2
Adachi, A., Zhang, F., Kanaya, S., & Ono, N. (2024) · Bioinformatics Advances · doi:10.1093/bioadv/vbaf045 · Cited by 3
Soares, S. P. V., Jarquín‐Díaz, V. H., Veiga, M. M., Karl, S., Czirják, G. Á., Weyrich, A., Metzger, S., East, M. L., Hofer, H., Heitlinger, E. G., et al. (2025) · Communications Biology · doi:10.1038/s42003-025-08243-0 · Cited by 2
Improving liver transplant outcomes with transplant-omics and network biology
Scarpa, J. R. (2023) · Current Opinion in Organ Transplantation · doi:10.1097/mot.0000000000001100 · Cited by 2
Fecal proteolytic profiling of pediatric inflammatory bowel disease: A pilot study
Haak, W., Jagt, J. Z., de Meij, T. G. J., Bikker, F. J., Brand, H. S., de Boer, N. K. H., & Kaman, W. E. (2024) · The FASEB Journal · doi:10.1096/fj.202302190r · Cited by 3
TLR4 regulates proinflammatory intestinal immune responses mediated by an atopic gut microbiotaPreprint
Campbell, E., Macció-Maretto, L., Hesser, L. A., Kemter, A. M., Canani, R. B., Nocerino, R., Paparo, L., Patry, R. T., & Nagler‐Anderson, C. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.21.501027 · Cited by 2
MIOSTONE: Modeling microbiome-trait associations with taxonomy-adaptive neural networksPreprint
Jiang, Y., Aton, M., Zhu, Q., & Lu, Y. Y. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.04.565596 · Cited by 2
Self-citationLiang, S., Sun, Y., Miao, Z., Li, B.-Y., Xing, Z., Xie, Y., Cai, E., Li, S., Liu, P., Yang, M., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.26.625569 · Cited by 2
Pan-repository analysis reveals a drug-activating function of microbial bile acid conjugationPreprint
Charron‐Lamoureux, V., Kelly, P. E., Zuffa, S., Patan, A., Sala‐Climent, M., Walker, C., Zhao, H. N., Xing, S., Gouda, H., Agongo, J., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.03.709330 · Cited by 4
Self-citationStudy of the Gut Microbiome in Patients with Psoriatic Arthritis
Amorim, G. M., de Castro, G. R. W., & Carneiro, S. C. D. S. (2024) · European Journal of Rheumatology · doi:10.5152/eurjrheum.2024.23080 · Cited by 1
Gao, X., Liang, H., Hu, T., Zou, Y., & Xiao, L. (2024) · Microbiology Spectrum · doi:10.1128/spectrum.01755-24 · Cited by 1
A debiasing phylogenetic tree-assisted regression model for microbiome data
Li, Y. N., Zhao, L., & Wang, J. (2024) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2024.108111 · Cited by 1
Munyeshyaka, E., Nakayama-Imaohji, H., Yamasaki, H., Tada, A., Tabassum, N., & Kuwahara, T. (2025) · Gut microbes reports · doi:10.1080/29933935.2025.2468456 · Cited by 1
Chen, X., Liu, T., Han, J., Li, X., Wu, Y., Wang, L., Zhong, Y., Ji, Y., Zhou, K., Su, X., et al. (2025) · Food Science and Human Wellness · doi:10.26599/fshw.2025.9250558 · Cited by 1
Wang, G., Yang, F., Zang, G., Shen, N., Huang, L., Ma, Z., & Li, M. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1551892 · Cited by 2
Schroer, H. W., Beghini, F., Garay, J. A. R., Christakis, N. A., & Bosch, D. E. (2026) · mSystems · doi:10.1128/msystems.00305-26 · Cited by 1
Xu, T., Hou, W.-X., Yang, S.-T., Shao, Y.-P., Wang, J., Han, T., & Li, J.-N. (2026) · World Journal of Gastroenterology · doi:10.3748/wjg.v32.i5.113024 · Cited by 1
Gong, Y., Wu, G. G., Tavarez, S., Zhao, C., Zhao, L., & Ghosh, S. (2026) · mBio · doi:10.1128/mbio.03934-25 · Cited by 1
Effects of different galactans on DSS-induced colitis and the gut microbiota
Wei, X., Chen, C., & Nie, S. (2026) · Food & Function · doi:10.1039/d6fo00058d · Cited by 1
Peptidomics: A New Dimension in Microbiome Research
Hilpert, K. (2026) · Protein and Peptide Letters · doi:10.2174/0109298665436241260327111926 · Cited by 1
Lu, D., Chen, X. C., Wang, D., Zheng, X., Zhao, T., Qiu, M., Li, T., Ding, L., Tang, Z., 严宝飞, et al. (2026) · Phytomedicine · doi:10.1016/j.phymed.2026.158199 · Cited by 1
Elmekki, N. M., Coyne, M. J., Flores, K., García-Bayona, L., & Comstock, L. E. (2026) · Gut Microbes · doi:10.1080/19490976.2026.2661410 · Cited by 2
A bibliometric and text-mining analysis of lipidomics and metabolomics in human disease
Trejo-Castro, A. I., Marín‐Obispo, L. M., Carrión-Álvarez, D., Mora‐Godínez, S., Martínez‐Torteya, A., Hernández‐Brenes, C., & Martínez-Ledesma, E. (2026) · Frontiers in Physiology · doi:10.3389/fphys.2026.1727465 · Cited by 1
Periodontitis and Inflammatory Bowel Diseases: Mechanistic Evidence
Colombo, A. P. V., de Oliveira, A. M., Kamada, N., & Kitamoto, S. (2026) · Journal of Periodontal Research · doi:10.1111/jre.70124 · Cited by 1
Lacto- N -biose Improves Acute Colitis in Mice by Modulating Gut Microbiota and Metabolites
Fan, Z., Xie, W., Hu, X., Li, Y., Kitaoka, M., Li, T., & Huang, X. (2026) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.6c00114 · Cited by 2
Jori, C., Ahmad, A., Kumar, A., Ali, N., Son, Y., & Khan, R. (2026) · Materials Today Bio · doi:10.1016/j.mtbio.2026.103322 · Cited by 1
Yin, S., Li, J., Zou, Y., Liu, Y., Zheng, Y., Yu, L., Zheng, W., Zou, Y., Zhang, Z., Li, T., et al. (2026) · Advanced Science · doi:10.1002/advs.76491 · Cited by 1
Stojkovic, B., Bekkers, M., Violi, J. P., Neilan, B. A., Ying, T. H., Keely, S., Donald, W. A., Riveros, C., & Kaiko, G. E. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-026-02774-6 · Cited by 1
Enhancement of Gut Microbial Homeostasis by a Post-NGP Phocaeicola vulgatus
Shuvo, M. S. H., Kim, S., Jo, S., Ahmed, I., Aziz, M. T., Yoon, Y., Sarafraz, F., Oh, S., Nam, G. T., Lee, J.-H., et al. (2026) · Nutrients · doi:10.3390/nu18142355 · Cited by 1
Microbial metabolites as emerging Biomodulators of host function and disease susceptibility
Hunzai, H., Ansari, A. A., Ghazanfar, S., Islam, A., Elkelish, A., Das, J., Chaudhary, P., Sridhar, S. B., Panigrahy, U. P., Mantry, S., et al. (2026) · PharmaNutrition · doi:10.1016/j.phanu.2026.100523 · Cited by 2
Metadata
- Authors
- Mills, R. H., Dulai, P. S., Vázquez-Baeza, Y., Sauceda, C., Daniel, N., Gerner, R. R., Batachari, L. E., Malfavon, M., Zhu, Q., Weldon, K., Humphrey, G., Carrillo-Terrazas, M., Goldasich, L. D., Bryant, M., Raffatellu, M., Quinn, R. A., Gewirtz, A. T., Chassaing, B., Chu, H., Sandborn, W. J., Dorrestein, P. C., Knight, R., & Gonzalez, D. J.
- Affiliations
- University of California San Diego (US)
- Centre National de la Recherche Scientifique (FR)
- Michigan State University (US)
- Georgia State University (US)
- Corresponding author
- Knight, Rob
- Gonzalez, David J.
- ORCID
- Mills, Robert H.
- Dulai, Parambir S.
- Vázquez-Baeza, Yoshiki
- Sauceda, Consuelo
- Daniel, Noëmie
- Gerner, Romana R.
- Batachari, Lakshmi E.
- Malfavon, Mario
- Zhu, Qiyun
- Weldon, Kelly
- Goldasich, Lindsay DeRight
- Bryant, MacKenzie
- Raffatellu, Manuela
- Quinn, Robert A.
- Gewirtz, Andrew T.
- Chu, Hiutung
- Sandborn, William J.
- Dorrestein, Pieter C.
- Knight, Rob
- Gonzalez, David J.
- Venue
- Nature Microbiology
- Published
- 2022-01-27
- Volume
- 7
- Issue
- 2
- Pages
- 262-276
- ISSN
- 2058-5276 (ISSN-L)
- PMC
- PMC8852248
- OpenAlex
- W4213182271
- Cited by
- 385
- References
- 111
- Citations by year
- 2026: 79 · 2025: 100 · 2024: 113 · 2023: 61 · 2022: 32
- FWCI
- 25.05
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Microbiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- U.S. Department of Health & Human Services | NIH | National Institute of Diabetes and Digestive and Kidney Diseases (T32 DK007202, P30 DK120515)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Gastroenterology › Inflammatory Bowel Disease
- Health Sciences › Medicine › Gastroenterology › Microscopic Colitis
- Keywords
- ulcerative colitis, Bacteroides vulgatus, bacterial proteases, gut microbiota, host-microbiota interactions, disease severity, Crohn's disease, intestinal barrier dysfunction, protease inhibitors, IL-10-deficient mice, germ-free mice, fecal microbiota transplantation, multi-omics integration, metaproteomics, metabolomics, metagenomics, serum proteomics
- MeSH terms
- Gastrointestinal Microbiome, Adult, Animals, Bacterial Proteins, Bacteroides, Colitis, Ulcerative, Feces, Female, Humans, Longitudinal Studies, Male, Middle Aged, Peptide Hydrolases, Severity of Illness Index, Cohort Studies, Proteomics, Mice, Metagenome, Metagenomics
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