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Risk assessment with gut microbiome and metabolite markers in NAFLD development

Leung, Howell (author)
Hans-Knoll-Institute (HKI)
Long, Xiaoxue (author)
Ni, Yueqiong (author)
Hans-Knoll-Institute (HKI)
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Qian, Lingling (author)
Nychas, Emmanouil (author)
Hans-Knoll-Institute (HKI)
Siliceo, Sara Leal (author)
Hans-Knoll-Institute (HKI)
Pohl, Dennis (author)
Danmarks Tekniske Universitet,Technical University of Denmark
Hanhineva, Kati, 1972 (author)
Itä-Suomen Yliopisto,University of Eastern Finland,Turun Yliopisto,University of Turku,Chalmers tekniska högskola,Chalmers University of Technology
Liu, Yan (author)
The University of Hong Kong
Xu, Aimin (author)
The University of Hong Kong
Nielsen, Henrik B. (author)
Danmarks Tekniske Universitet,Technical University of Denmark
Belda, Eugeni (author)
Sorbonne Université,Sorbonne University
Clement, K. (author)
Sorbonne Université,Sorbonne University
Loomba, Rohit (author)
University of California
Li, Huating (author)
Jia, Weiping (author)
Panagiotou, G. (author)
The University of Hong Kong,Hans-Knoll-Institute (HKI)
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 (creator_code:org_t)
American Association for the Advancement of Science (AAAS), 2022
2022
English.
In: Science Translational Medicine. - : American Association for the Advancement of Science (AAAS). - 1946-6234 .- 1946-6242. ; 14:648, s. eabk0855-
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  • Journal article (peer-reviewed)
Abstract Subject headings
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  • A growing body of evidence suggests interplay between the gut microbiota and the pathogenesis of nonalcoholic fatty liver disease (NAFLD). However, the role of the gut microbiome in early detection of NAFLD is unclear. Prospective studies are necessary for identifying reliable, microbiome markers for early NAFLD. We evaluated 2487 individuals in a community-based cohort who were followed up 4.6 years after initial clinical examination and biospecimen sampling. Metagenomic and metabolomic characterizations using stool and serum samples taken at baseline were performed for 90 participants who progressed to NAFLD and 90 controls who remained NAFLD free at the follow-up visit. Cases and controls were matched for gender, age, body mass index (BMI) at baseline and follow-up, and 4-year BMI change. Machine learning models integrating baseline microbial signatures (14 features) correctly classified participants (auROCs of 0.72 to 0.80) based on their NAFLD status and liver fat accumulation at the 4-year follow up, outperforming other prognostic clinical models (auROCs of 0.58 to 0.60). We confirmed the biological relevance of the microbiome features by testing their diagnostic ability in four external NAFLD case-control cohorts examined by biopsy or magnetic resonance spectroscopy, from Asia, Europe, and the United States. Our findings raise the possibility of using gut microbiota for early clinical warning of NAFLD development.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Geriatrik (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Geriatrics (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Klinisk laboratoriemedicin (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Clinical Laboratory Medicine (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Näringslära (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Nutrition and Dietetics (hsv//eng)

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