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

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Reviewed Marked as Reviewed by Claregrieve1 on 2022/12/31
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
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
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

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

Curated date: 2021/01/10

Curator: WikiWorks

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


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
HIV infection , Diabetes mellitus [X]Human immunodeficiency virus disease,[X]Human immunodeficiency virus disease (disorder),[X]Unspecified human immunodeficiency virus [HIV] disease,[X]Unspecified human immunodeficiency virus [HIV] disease (disorder),HIV - Human immunodeficiency virus infection,HIV INFECT,HIV Infection,HIV infection,HIV Infections,HIV infectious disease,HTLV III INFECT,HTLV III Infections,HTLV III LAV INFECT,HTLV III LAV Infections,HTLV WIII INFECTIONS,HTLV WIII LAV INFECTIONS,HTLV-III Infection,HTLV-III Infections,HTLV-III-LAV Infection,HTLV-III-LAV Infections,HUMAN IMMUNO VIRUS DIS,human immunodeficiency virus,Human immunodeficiency virus [HIV] disease,HUMAN IMMUNOdeficiency VIRUS [HIV] INFECTION,Human immunodeficiency virus caused disease or disorder,Human immunodeficiency virus disease,Human immunodeficiency virus disease (disorder),Human immunodeficiency virus disease or disorder,Human immunodeficiency virus infection,Human immunodeficiency virus infection (disorder),Human immunodeficiency virus infection, NOS,Human immunodeficiency virus infectious disease,human immunodeficiency virus infectious disease,Infection, HIV,Infection, HTLV-III,Infection, HTLV-III-LAV,Infections, HIV,Infections, HTLV-III,Infections, HTLV-III-LAV,LYMPHOTROPIC VIRUS TYPE III INFECTIONS HUMAN T,T LYMPHOTROPIC VIRUS TYPE III INFECT HUMAN,T Lymphotropic Virus Type III Infections, Human,T-Lymphotropic Virus Type III Infections, Human,Unspecified human immunodeficiency virus [HIV] disease (disorder),hIV infection,Diabetes,diabetes,diabetes mellitus,diabetes mellitus (disease),Diabetes mellitus (disorder),Diabetes mellitus, NOS,Diabetes NOS,DM,DM - Diabetes mellitus,Diabetes mellitus
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
Group 1 sample size Number of subjects in the case (exposed) group

Lab analysis

Sequencing type
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
Linear Regression
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
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
Chao1 Abundance-based estimator of species richness
Richness Number of species

Signature 1

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

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 ControlLinks

Revision editor(s): Claregrieve1, WikiWorks