Intestinal Microbiome, Fecal Fermentation Profile, and Health Indices in HIV-Positive Men Versus Normal Controls Without HIV

Background/Objectives: Many HIV-positive (HIV+) males receiving highly active antiretroviral therapy (HAART) experience metabolic complications, including non-alcoholic fatty liver disease (NAFLD); lipodystrophy; and intestinal dysbiosis, often characterized by a Prevotella-rich enterotype. Gut microbial fermentation produces short-chain fatty acids (SCFAs), which play important roles in host metabolism. This study investigated the relationships among HAART, anthropometrics, diet, intestinal permeability, gut microbiota composition, and lipodystrophy in HIV+ males. Methods: Forty males aged 23–60 years were enrolled, including 19 HIV+ participants recruited from the East Tennessee State University (ETSU) Health Infectious Diseases Specialty Clinic and 20 HIV-negative (HIV−) controls recruited through standard methods. Participants provided a stool sample for 16S rRNA gene sequencing, SCFA analysis by gas chromatography, and proximate analysis, and completed a food frequency questionnaire. Lipodystrophy-related measures included body mass index (BMI), hip-to-waist ratio (H:W), and liver health assessment using FibroScan. Blood samples were collected by venipuncture. Serum markers of intestinal permeability, including Claudin-21, flagellin, and intestinal fatty acid-binding protein (IFABP), were quantified by enzyme-linked immunosorbent assay (ELISA). Results: HIV+ males exhibited significantly higher H:W ratios (p = 0.001) and hepatic steatosis (p = 0.0047) than HIV− controls (Welsh’s t-test). Concentrations of isobutyrate (p = 0.0024), isovalerate (p = 0.0008), and valerate (p = 0.0329) were elevated in HIV+ participants, whereas butyrate (p = 0.0014) and total acetate/propionate/butyrate (APB) (p = 0.0046) were higher in HIV− males (Welsh’s t-test). HIV+ participants also showed greater abundances of Prevotella and Lachnospiraceae (Analysis of Compositions of Microbiomes; ANCOM). Retrospective analysis revealed that all HIV+ participants were men who have sex with men (MSM). Conclusions: HIV+ males demonstrated distinct gut microbiome profiles, altered SCFA production, and markers of disrupted lipid metabolism. These findings provide a foundation for future investigations of microbiome-metabolism interactions in HIV+ MSM.

Authors

Institutions

Publication Details

Journal
Nutrients
Published
2026-07-16
DOI
https://doi.org/10.3390/nu18142328
Primary Topic
HIV-related health complications and treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intestinal Microbiome, Fecal Fermentation Profile, and Health Indices in HIV-Positive Men Versus Normal Controls Without HIV

John Sterrett, Brian M. Cartwright, William A. Clark, Jonathan P. Moorman et al.
Nutrients
HIV-related health complications and treatments
article

Intestinal Microbiome, Fecal Fermentation Profile, and Health Indices in HIV-Positive Men Versus Normal Controls Without HIV

John Sterrett, Brian M. Cartwright, William A. Clark, Jonathan P. Moorman, James Adkins, Mary C. Andreae
article en

Abstract

Background/Objectives: Many HIV-positive (HIV+) males receiving highly active antiretroviral therapy (HAART) experience metabolic complications, including non-alcoholic fatty liver disease (NAFLD); lipodystrophy; and intestinal dysbiosis, often characterized by a Prevotella-rich enterotype. Gut microbial fermentation produces short-chain fatty acids (SCFAs), which play important roles in host metabolism. This study investigated the relationships among HAART, anthropometrics, diet, intestinal permeability, gut microbiota composition, and lipodystrophy in HIV+ males. Methods: Forty males aged 23–60 years were enrolled, including 19 HIV+ participants recruited from the East Tennessee State University (ETSU) Health Infectious Diseases Specialty Clinic and 20 HIV-negative (HIV−) controls recruited through standard methods. Participants provided a stool sample for 16S rRNA gene sequencing, SCFA analysis by gas chromatography, and proximate analysis, and completed a food frequency questionnaire. Lipodystrophy-related measures included body mass index (BMI), hip-to-waist ratio (H:W), and liver health assessment using FibroScan. Blood samples were collected by venipuncture. Serum markers of intestinal permeability, including Claudin-21, flagellin, and intestinal fatty acid-binding protein (IFABP), were quantified by enzyme-linked immunosorbent assay (ELISA). Results: HIV+ males exhibited significantly higher H:W ratios (p = 0.001) and hepatic steatosis (p = 0.0047) than HIV− controls (Welsh’s t-test). Concentrations of isobutyrate (p = 0.0024), isovalerate (p = 0.0008), and valerate (p = 0.0329) were elevated in HIV+ participants, whereas butyrate (p = 0.0014) and total acetate/propionate/butyrate (APB) (p = 0.0046) were higher in HIV− males (Welsh’s t-test). HIV+ participants also showed greater abundances of Prevotella and Lachnospiraceae (Analysis of Compositions of Microbiomes; ANCOM). Retrospective analysis revealed that all HIV+ participants were men who have sex with men (MSM). Conclusions: HIV+ males demonstrated distinct gut microbiome profiles, altered SCFA production, and markers of disrupted lipid metabolism. These findings provide a foundation for future investigations of microbiome-metabolism interactions in HIV+ MSM.

NutrientsVol. 18(14)
East Tennessee State University (US), University of Colorado Boulder (US)
Quillen College of Medicine, East Tennessee State University
Openalex Percentile: Top 6%
HIV-related health complications and treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.