| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Nychas, Emmanouil Marfil-Sánchez, Andrea Chen, Xiuqiang Mirhakkak, Mohammad Li, Huating Jia, Weiping Xu, Aimin Nielsen, Henrik Bjørn Nieuwdorp, Max Loomba, Rohit Ni, Yueqiong Panagiotou, Gianni |
| Abstract | Background The pathogenesis of non-alcoholic fatty liver disease (NAFLD) with a global prevalence of 30% is multifactorial and the involvement of gut bacteria has been recently proposed. However, finding robust bacterial signatures of NAFLD has been a great challenge, mainly due to its co-occurrence with other metabolic diseases. Results Here, we collected public metagenomic data and integrated the taxonomy profiles with in silico generated community metabolic outputs, and detailed clinical data, of 1206 Chinese subjects w/wo metabolic diseases, including NAFLD (obese and lean), obesity, T2D, hypertension, and atherosclerosis. We identified highly specific microbiome signatures through building accurate machine learning models (accuracy = 0.845–0.917) for NAFLD with high portability (generalizable) and low prediction rate (specific) when applied to other metabolic diseases, as well as through a community approach involving differential co-abundance ecological networks. Moreover, using these signatures coupled with further mediation analysis and metabolic dependency modeling, we propose synergistic defined microbial consortia associated with NAFLD phenotype in overweight and lean individuals, respectively. Conclusion Our study reveals robust and highly specific NAFLD signatures and offers a more realistic microbiome-therapeutics approach over individual species for this complex disease. Video Abstract |
| Related Links | https://microbiomejournal.biomedcentral.com/counter/pdf/10.1186/s40168-024-01990-y.pdf |
| Ending Page | 21 |
| Page Count | 21 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 20492618 |
| DOI | 10.1186/s40168-024-01990-y |
| Journal | Microbiome |
| Issue Number | 1 |
| Volume Number | 13 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2025-01-14 |
| Access Restriction | Open |
| Subject Keyword | Medical Microbiology Bioinformatics Microbial Ecology Microbiology Microbial Genetics and Genomics Virology NAFLD Gut microbiota Metabolic diseases Machine learning Network analysis Metabolomics Microbial consortia |
| Content Type | Text |
| Resource Type | Article |
| Subject | Microbiology Microbiology (medical) |
| Journal Impact Factor | 13.8/2023 |
| 5-Year Journal Impact Factor | 17.9/2023 |
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