{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T14:36:49Z","timestamp":1789051009736,"version":"build-2803163510"},"reference-count":74,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2023,10,17]],"date-time":"2023-10-17T00:00:00Z","timestamp":1697500800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Federal Medical Biological Agency","award":["388-00154-22-00"],"award-info":[{"award-number":["388-00154-22-00"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJMS"],"abstract":"<jats:p>Non-alcoholic fatty liver disease (NAFLD) is considered the most common chronic liver disease worldwide, affecting nearly 25% of the global adult population. Increasing evidence suggests that functional and compositional changes in the gut microbiota may contribute to the development and promote the progression of NAFLD. 16S rRNA gene next-generation sequencing is widely used to determine specific features of the NAFLD microbiome, but a complex system such as the gut microbiota requires a comprehensive approach. We used three different approaches: MALDI-TOF-MS of bacterial cultures, qPCR, and 16S NGS sequencing, as well as a wide variety of statistical methods to assess the differences in gut microbiota composition between NAFLD patients without significant fibrosis and the control group. The listed methods showed enrichment in Collinsella sp. and Oscillospiraceae for the control samples and enrichment in Lachnospiraceae (and in particular Dorea sp.) and Veillonellaceae in NAFLD. The families, Bifidobacteriaceae, Lactobacillaceae, and Enterococcaceae (particularly Enterococcus faecium and Enterococcus faecalis), were also found to be important taxa for NAFLD microbiome evaluation. Considering individual method observations, an increase in Candida krusei and a decrease in Bacteroides uniformis for NAFLD patients were detected using MALDI-TOF-MS. An increase in Gracilibacteraceae, Chitinophagaceae, Pirellulaceae, Erysipelatoclostridiaceae, Muribaculaceae, and Comamonadaceae, and a decrease in Acidaminococcaceae in NAFLD were observed with 16S NGS, and enrichment in Fusobacterium nucleatum was shown using qPCR analysis. These findings confirm that NAFLD is associated with changes in gut microbiota composition. Further investigations are required to determine the cause-and-effect relationships and the impact of microbiota-derived compounds on the development and progression of NAFLD.<\/jats:p>","DOI":"10.3390\/ijms242015272","type":"journal-article","created":{"date-parts":[[2023,10,17]],"date-time":"2023-10-17T10:43:10Z","timestamp":1697539390000},"page":"15272","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Gut Microbiota Patterns in Patients with Non-Alcoholic Fatty Liver Disease: A Comprehensive Assessment Using Three Analysis Methods"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-0556-9343","authenticated-orcid":false,"given":"Anna V.","family":"Korobeinikova","sequence":"first","affiliation":[{"name":"Centre for Strategic Planning and Management of Biomedical Health Risks of Federal Medical Biological Agency, Pogodinskaya Str., 10\/1, 119121 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olga A.","family":"Zlobovskaya","sequence":"additional","affiliation":[{"name":"Centre for Strategic Planning and Management of Biomedical Health Risks of Federal Medical Biological Agency, Pogodinskaya Str., 10\/1, 119121 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7230-0780","authenticated-orcid":false,"given":"Anna F.","family":"Sheptulina","sequence":"additional","affiliation":[{"name":"National Medical Research Center for Therapy and Preventive Medicine, Petroverigskyj Lane 10, bld.3, 101990 Moscow, Russia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"German A.","family":"Ashniev","sequence":"additional","affiliation":[{"name":"Centre for Strategic Planning and Management of Biomedical Health Risks of Federal Medical Biological Agency, Pogodinskaya Str., 10\/1, 119121 Moscow, 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