Evidence map›Paper›PMID 38968070›Full record

ArticleCell reports2024

Environmental, socioeconomic, and health factors associated with gut microbiome species and strains in isolated Honduras villages.

Shivkumar Vishnempet Shridhar, Francesco Beghini, Marcus Alexander, Adarsh Singh, Rigoberto Matute Juárez, Ilana L Brito, Nicholas A Christakis

Abstract read
In one paragraph

Article in Cell reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Distinct gut microbiome features characterizeFrontiers in cellular and infection microbiology · 2025
    Article
  5. Article
  6. 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.

Shivkumar Vishnempet ShridharYale Institute for Network Science, Yale University, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
Francesco BeghiniYale Institute for Network Science, Yale University, New Haven, CT, USA.
Marcus AlexanderYale Institute for Network Science, Yale University, New Haven, CT, USA.
Adarsh SinghMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.
Rigoberto Matute JuárezSoluciones para Estudios de la Salud, Copán, Honduras.
Ilana L BritoMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA. Electronic address: ibrito@cornell.edu.
Nicholas A ChristakisYale Institute for Network Science, Yale University, New Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA; Department of Statistics and Data Science, Yale University, New Haven, CT, USA; Department of Medicine, Yale School of Medicine, New Haven, CT, USA. Electronic address: nicholas.christakis@yale.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
High Performance Computing Instrumentation for the Yale Center for Genome AnalysisS10OD030363 · OD · YALE UNIVERSITY · PI MANE, SHRIKANT M · 2022 to 2022
$1.2M
NCATS NIH HHS UL1 TR001863NIH HHS S10 OD030363
6 · The paper itself

Abstract

Despite a growing interest in the gut microbiome of non-industrialized countries, data linking deeply sequenced microbiomes from such settings to diverse host phenotypes and situational factors remain uncommon. Using metagenomic data from a community-based cohort of 1,871 people from 19 isolated villages in the Mesoamerican highlands of western Honduras, we report associations between bacterial species and human phenotypes and factors. Among them, socioeconomic factors account for 51.44% of the total associations. Meta-analysis of species-level profiles across several datasets identified several species associated with body mass index, consistent with previous findings. Furthermore, the inclusion of strain-phylogenetic information modifies the overall relationship between the gut microbiome and the phenotypes, especially for some factors like household wealth (e.g., wealthier individuals harbor different strains of Eubacterium rectale). Our analysis suggests a role that gut microbiome surveillance can play in understanding broad features of individual and public health.

Indexed as

Gastrointestinal MicrobiomeSocioeconomic FactorsAdultBacteriaFemaleHondurasHumansMaleMiddle AgedPhylogenyCP: Microbiologyeconomic factorsgut microbiome speciesgut microbiome strainsnon-western LMIC cohortpolymorphic sitespopulation-wide microbiome associationssocial networksuncharacterized taxa

Identifiers

PMID38968070
PMCPMC11290354

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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.