Gut microbiota and plasma metabolites associated with diabetes in women with, or at high risk for, HIV infection

Study information

Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/31

study design

cross-sectional observational, not case-control

Citation

PMID PubMed identifier for scientific articles.

30366816

DOI Digital object identifier for electronic documents.

10.1016/j.ebiom.2018.10.037

URI

Authors

Moon JY, Zolnik CP, Wang Z, Qiu Y, Usyk M, Wang T, Kizer JR, Landay AL, Kurland IJ, Anastos K, Kaplan RC, Burk RD, Qi Q

Journal

EBioMedicine

Year

2018

Keywords:

Diabetes, Gut microbiota, HIV, Metabolite

BACKGROUND: Gut microbiota alteration has been implicated in HIV infection and metabolic disorders. The relationship between gut microbiota and diabetes has rarely been studied in HIV-infected individuals, who have excess risk of metabolic disorders. METHODS: Our study during 2015-2016 enrolled predominantly African Americans and Hispanics in the Women's Interagency HIV Study. We studied 28 women with long-standing HIV infection under antiretroviral therapy and 20 HIV-uninfected, but at high risk of infection, women (16 HIV+ and 6 HIV- with diabetes). Fecal samples were analyzed by sequencing prokaryotic16S rRNA gene. Plasma metabolomics profiling was performed by liquid chromatography-tandem mass spectrometry. FINDINGS: No significant differences in bacterial α- or β-diversity were observed by diabetes or HIV serostatus (all P > .1). Relative abundances of four genera (Finegoldia, Anaerococcus, Sneathia, and Adlercreutzia) were lower in women with diabetes compared to those without diabetes (all P < .01). In women with diabetes, plasma levels of several metabolites in tryptophan catabolism (e,g., kynurenine/tryptophan ratio), branched-chain amino acid and proline metabolism pathways were higher, while glycerophospholipids were lower (all P < .05). Results were generally consistent between HIV-infected and HIV-uninfected women, and no significant modification effects by HIV serostatus were observed (all Pinteraction > 0.05). Anaerococcus, known to produce butyrate which is involved in anti-inflammation and glucose metabolism, showed an inverse correlation with kynurenine/tryptophan ratio (r = -0.38, P < .01). INTERPRETATION: Among women with or at high risk for HIV infection, diabetes is associated with gut microbiota and plasma metabolite alteration, including depletion of butyrate-producing bacterial population along with higher tryptophan catabolism. FUND: NHLBI (K01HL129892, R01HL140976) and FMF.

Experiment 1

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Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/31

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): WikiWorks, Claregrieve1, Peace Sandy, Victoria

Subjects

Location of subjects: United States of America

Host species Species from which microbiome was sampled. Contact us to have more species added.: Homo sapiens

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology

Group 0 name Corresponds to the control (unexposed) group for case-control studies: Women without diabetes

Group 1 name Corresponds to the case (exposed) group for case-control studies: Women with diabetes

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: Women with or at high risk for HIV infection who have diabetes

Group 0 sample size Number of subjects in the control (unexposed) group: 26

Group 1 sample size Number of subjects in the case (exposed) group: 22

Lab analysis

Sequencing type: 16S

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: V4

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: raw counts

Statistical test: Linear Regression

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.1

MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?: Yes

Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment: age, HIV infection

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness: unchanged

Chao1 Abundance-based estimator of species richness: unchanged

Richness Number of species: unchanged

Signature 1

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Curated date: 2021/01/10

Curator: Michael Lutete

Revision editor(s): Claregrieve1, WikiWorks

Source: Text, Figure 2, Table 2

Description: Differentially abundant genera by diabetes status in women with HIV or at high risk for HIV

Abundance in Group 1: decreased abundance in Women with diabetes

NCBI	Quality Control	Links
Anaerococcus
Finegoldia
Sneathia
Adlercreutzia

Revision editor(s): Claregrieve1, WikiWorks