Evidence map›Paper›PMID 31809363›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2020

Intestinal Dysbiosis and Markers of Systemic Inflammation in Viscerally and Generally Obese Persons Living With HIV.

Lasha Gogokhia, Ying Taur, Krishna Juluru, Neda Yagan, Yuan-Shan Zhu, Eric Pamer, Marshall J Glesby

Open access · greenAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Lipodystrophy in HIV: Evolving Challenges and Unresolved Questions.International journal of molecular sciences · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. The BacteriumFrontiers in immunology · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

Lasha GogokhiaDivision of Gastroenterology and Hepatology, Joan and Sanford I. Weill Department of Medicine, Weill Cornell Medicine, Jill Roberts Center and Institute for Research in Inflammatory Bowel Disease, New York, NY.
Ying TaurDivision of Infectious Diseases, Memorial Sloan Kettering Cancer Center, New York, NY.
Krishna JuluruDepartment of Radiology, Weill Cornell Medicine, New York, NY.
Neda YaganDepartment of Radiology, Weill Cornell Medicine, New York, NY.
Yuan-Shan ZhuClinical and Translational Science Center and Weill Department of Medicine, Weill Cornell Medicine, New York, NY.
Eric PamerDivision of Infectious Diseases, Memorial Sloan Kettering Cancer Center, New York, NY.
Marshall J GlesbyDivision of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, New York, NY.
Cornell University · USMemorial Sloan Kettering Cancer Center · USJohnston Memorial Hospital · USUniversity of Chicago · USWeill Cornell Medicine · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Clinical and Translational Science CenterUL1TR000457 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI IMPERATO-MCGINLEY, JULIANNE L · 2012 to 2016
$46.0M
NCATS NIH HHS UL1 TR000457NCATS NIH HHS UL1 TR002384NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundThe intestinal microbiota contributes to the pathogenesis of obesity and metabolic disorders. People living with HIV (PLWH) have a higher risk for the development of visceral adiposity with accompanying worsened cardiovascular risk.

settingConvenience sample from an HIV clinic and research unit.

methodsTo understand the relationship between adiposity and intestinal dysbiosis, we compared the gut microbiota and inflammatory markers in a cross-sectional study of viscerally obese, generally obese, and lean PLWH. Fecal intestinal microbiota was characterized by 16S ribosomal DNA sequencing. Abdominal CTs quantified subcutaneous adipose tissue and visceral adipose tissue (SAT; VAT). Serum high sensitivity C-reactive protein, adiponectin, leptin, IL-6, MCP-1, and sCD14 were assayed.

resultsWe studied 15, 9, and 11 participants with visceral obesity, general obesity, and lean body type, respectively. The generally obese group were all women and 2/3 African American, whereas the visceral obesity and lean groups were predominantly white and men who have sex with men. Markers of systemic inflammation and sCD14 were higher in general obesity compared with lean. sCD14 was positively correlated with VAT, but not SAT. Bacterial diversity was significantly reduced in participants with visceral and general obesity and composition of intestinal microbiota was significantly different from lean body types. Bacterial alpha diversity was negatively correlated with VAT area, waist/hip ratio, and sCD14, but not with SAT area.

conclusionsIn this exploratory study, obesity in general was associated with dysbiotic intestinal microbiota. The relationships of VAT to bacterial diversity and sCD14 suggest that dysbiosis in viscerally obese PLWH could be associated with heightened inflammatory state.

Indexed as

AdultBiomarkersCross-Sectional StudiesDysbiosisFemaleHIV InfectionsHumansInflammationIntra-Abdominal FatMaleObesityBiomarkers

Identifiers

PMID31809363
PMCPMC6901102
OpenAlexW2994189337

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.