Evidence map›Paper›PMID 39138568›Full record

ArticleBMC medical genomics2024

Major depletion of insulin sensitivity-associated taxa in the gut microbiome of persons living with HIV controlled by antiretroviral drugs.

Eugeni Belda, Jacqueline Capeau, Jean-Daniel Zucker, Emmanuelle Le Chatelier, Nicolas Pons, Florian Plaza Oñate, Benoit Quinquis, Rohia Alili, Soraya Fellahi, Christine Katlama and 8 more

Abstract read
In one paragraph

Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

18 authors.

Eugeni Belda *IRD, Sorbonne Université, Unité de Modélisation Mathématique et Informatique des Systèmes Complexes, UMMISCO, Bondy, F-93143, France. eugeni.belda@ird.fr.
Jacqueline Capeau *INSERM UMR_S938, Centre de Recherche Saint-Antoine, Institut Hospitalo-Universitaire de Cardio-Métabolisme et Nutrition (ICAN), Sorbonne Université, Paris, F-75012, France.
Jean-Daniel ZuckerIRD, Sorbonne Université, Unité de Modélisation Mathématique et Informatique des Systèmes Complexes, UMMISCO, Bondy, F-93143, France.
Emmanuelle Le ChatelierUniversité Paris-Saclay, INRAE, MGP, Jouy-en-Josas, 78350, France.
Nicolas PonsUniversité Paris-Saclay, INRAE, MGP, Jouy-en-Josas, 78350, France.
Florian Plaza OñateUniversité Paris-Saclay, INRAE, MGP, Jouy-en-Josas, 78350, France.
Benoit QuinquisUniversité Paris-Saclay, INRAE, MGP, Jouy-en-Josas, 78350, France.
Rohia AliliSorbonne Université, INSERM, Nutrition et Obesities, Systemic Approaches, NutriOmique, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France.
Soraya FellahiINSERM UMR_S938, Centre de Recherche Saint-Antoine, Institut Hospitalo-Universitaire de Cardio-Métabolisme et Nutrition (ICAN), Sorbonne Université, Paris, F-75012, France.
Christine KatlamaINSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, AP-HP, Pitié Salpétrière Hospital, Department of Infectious Diseases, Sorbonne Université, Paris, F-75013, France.
Karine ClémentSorbonne Université, INSERM, Nutrition et Obesities, Systemic Approaches, NutriOmique, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France.
Bruno FèveINSERM UMR_S938, Centre de Recherche Saint-Antoine, Institut Hospitalo-Universitaire de Cardio-Métabolisme et Nutrition (ICAN), Sorbonne Université, Paris, F-75012, France.
Stéphane JaureguiberryAP-HP, Hôpital Bicêtre, Service de Médecine Interne et Immunologie Clinique et Service de Maladies Infectieuses et Transmissibles, Kremlin-Bicêtre, France.
Cécile GoujardAP-HP, Hôpital Bicêtre, Service de Médecine Interne et Immunologie Clinique et Service de Maladies Infectieuses et Transmissibles, Kremlin-Bicêtre, France.
Olivier LambotteAP-HP, Hôpital Bicêtre, Service de Médecine Interne et Immunologie Clinique et Service de Maladies Infectieuses et Transmissibles, Kremlin-Bicêtre, France.
Joël DoréUniversité Paris-Saclay, INRAE, MGP, Jouy-en-Josas, 78350, France.
Edi Prifti *IRD, Sorbonne Université, Unité de Modélisation Mathématique et Informatique des Systèmes Complexes, UMMISCO, Bondy, F-93143, France.
Jean-Philippe Bastard *INSERM UMR_S938, Centre de Recherche Saint-Antoine, Institut Hospitalo-Universitaire de Cardio-Métabolisme et Nutrition (ICAN), Sorbonne Université, Paris, F-75012, France.

Funding

Agence Nationale de Recherches sur le Sida et les Hépatites Virales ANRS 157 study trial
6 · The paper itself

Abstract

backgroundPersons living with HIV (PWH) harbor an altered gut microbiome (higher abundance of Prevotella and lower abundance of Bacillota and Ruminococcus lineages) compared to non-infected individuals. Some of these alterations are linked to sexual preference and others to the HIV infection. The relationship between these lineages and metabolic alterations, often present in aging PWH, has been poorly investigated.

methodsIn this study, we compared fecal metagenomes of 25 antiretroviral-treatment (ART)-controlled PWH to three independent control groups of 25 non-infected matched individuals by means of univariate analyses and machine learning methods. Moreover, we used two external datasets to validate predictive models of PWH classification. Next, we searched for associations between clinical and biological metabolic parameters with taxonomic and functional microbiome profiles. Finally, we compare the gut microbiome in 7 PWH after a 17-week ART switch to raltegravir/maraviroc.

resultsThree major enterotypes (Prevotella, Bacteroides and Ruminococcaceae) were present in all groups. The first Prevotella enterotype was enriched in PWH, with several of characteristic lineages associated with poor metabolic profiles (low HDL and adiponectin, high insulin resistance (HOMA-IR)). Conversely butyrate-producing lineages were markedly depleted in PWH independently of sexual preference and were associated with a better metabolic profile (higher HDL and adiponectin and lower HOMA-IR). Accordingly with the worst metabolic status of PWH, butyrate production and amino-acid degradation modules were associated with high HDL and adiponectin and low HOMA-IR. Random Forest models trained to classify PWH vs. control on taxonomic abundances displayed high generalization performance on two external holdout datasets (ROC AUC of 80-82%). Finally, no significant alterations in microbiome composition were observed after switching to raltegravir/maraviroc.

conclusionHigh resolution metagenomic analyses revealed major differences in the gut microbiome of ART-controlled PWH when compared with three independent matched cohorts of controls. The observed marked insulin resistance could result both from enrichment in Prevotella lineages, and from the depletion in species producing butyrate and involved into amino-acid degradation, which depletion is linked with the HIV infection.

Indexed as

Gastrointestinal MicrobiomeHIV InfectionsInsulin ResistanceAdultAnti-Retroviral AgentsFecesFemaleHumansMaleMetagenomeMiddle AgedAnti-Retroviral AgentsHIVHuman gut microbiomeMachine learningMetabolic status

Identifiers

PMID39138568
PMCPMC11320835

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Registered trials

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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.