Evidence map›Paper›PMID 36416540›Full record

ArticlemSystems2022

Untargeted Fecal Metabolomic Analyses across an Industrialization Gradient Reveal Shared Metabolites and Impact of Industrialization on Fecal Microbiome-Metabolome Interactions.

Jacob J Haffner, Mitchelle Katemauswa, Thérèse S Kagone, Ekram Hossain, David Jacobson, Karina Flores, Adwaita R Parab, Alexandra J Obregon-Tito, Raul Y Tito, Luis Marin Reyes and 8 more

Abstract read
In one paragraph

Article in mSystems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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  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

18 authors.

Jacob J HaffnerDepartment of Anthropology, University of Oklahomagrid.266900.b, Norman, Oklahoma, USA.
Mitchelle KatemauswaLaboratories of Molecular Anthropology and Microbiome Research (LMAMR), University of Oklahomagrid.266900.b, Norman, Oklahoma, USA.
Thérèse S KagoneBurkina Faso Ministry of Health, Ouagadougou, Kadiogo, Burkina Faso.
Ekram HossainLaboratories of Molecular Anthropology and Microbiome Research (LMAMR), University of Oklahomagrid.266900.b, Norman, Oklahoma, USA.
David JacobsonDepartment of Anthropology, University of Oklahomagrid.266900.b, Norman, Oklahoma, USA.
Karina FloresLaboratories of Molecular Anthropology and Microbiome Research (LMAMR), University of Oklahomagrid.266900.b, Norman, Oklahoma, USA.
Adwaita R ParabLaboratories of Molecular Anthropology and Microbiome Research (LMAMR), University of Oklahomagrid.266900.b, Norman, Oklahoma, USA.
Alexandra J Obregon-TitoDepartment of Anthropology, University of Oklahomagrid.266900.b, Norman, Oklahoma, USA.
Raul Y TitoDepartment of Anthropology, University of Oklahomagrid.266900.b, Norman, Oklahoma, USA.
Luis Marin ReyesInstituto Nacional de Saludgrid.419226.a, Lima, Peru.
Luzmila Troncoso-CorzoFacultad de Medicina, Universidad Nacional Mayor de San Marcos, Lima, Peru.
Emilio Guija-PomaCentro de Investigación de Bioquímica y Nutrición, Facultad de Medicina Humana, Universidad de San Martín de Porres, Lima, Perú.
Nicolas MedaBurkina Faso Ministry of Health, Ouagadougou, Kadiogo, Burkina Faso.
Hélène CarabinDepartment of Biostatistics and Epidemiology, College of Public Health, University of Oklahomagrid.266900.b Health Sciences Center, Oklahoma City, Oklahoma, USA.
Tanvi P HonapDepartment of Anthropology, University of Oklahomagrid.266900.b, Norman, Oklahoma, USA.
Krithivasan SankaranarayananLaboratories of Molecular Anthropology and Microbiome Research (LMAMR), University of Oklahomagrid.266900.b, Norman, Oklahoma, USA.
Cecil M LewisDepartment of Anthropology, University of Oklahomagrid.266900.b, Norman, Oklahoma, USA.
Laura-Isobel McCallLaboratories of Molecular Anthropology and Microbiome Research (LMAMR), University of Oklahomagrid.266900.b, Norman, Oklahoma, USA.ORCID 0000-0002-1243-8953

Funding

UC San Diego RAPID Faculty Development Program in Infectious DiseasesR25AI147376 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ADRIANA H TREMOULET, Joann Trejo · 2020 to 2026
$2.5M
Microbial Ecologies of Indigenous CommunitiesR01GM089886 · NIGMS · UNIVERSITY OF OKLAHOMA · PI LAWSON, PAUL ALAN, LEWIS, CECIL M · 2011 to 2019
$2.4M
NIAID NIH HHS R25 AI147376NIGMS NIH HHS R01 GM089886
6 · The paper itself

Abstract

The metabolome is a central determinant of human phenotypes and includes the plethora of small molecules produced by host and microbiome or taken up from exogenous sources. However, studies of the metabolome have so far focused predominantly on urban, industrialized populations. Through an untargeted metabolomic analysis of 90 fecal samples from human individuals from Africa and the Americas-the birthplace and the last continental expansion of our species, respectively-we characterized a shared human fecal metabolome. The majority of detected metabolite features were ubiquitous across populations, despite any geographic, dietary, or behavioral differences. Such shared metabolite features included hyocholic acid and cholesterol. However, any characterization of the shared human fecal metabolome is insufficient without exploring the influence of industrialization. Here, we show chemical differences along an industrialization gradient, where the degree of industrialization correlates with metabolomic changes. We identified differential metabolite features such as amino acid-conjugated bile acids and urobilin as major metabolic correlates of these behavioral shifts. Additionally, coanalyses with over 5,000 publicly available human fecal samples and cooccurrence probability analyses with the gut microbiome highlight connections between the human fecal metabolome and gut microbiome. Our results indicate that industrialization significantly influences the human fecal metabolome, but diverse human lifestyles and behavior still maintain a shared human fecal metabolome. This study represents the first characterization of the shared human fecal metabolome through untargeted analyses of populations along an industrialization gradient.

Indexed as

Industrial DevelopmentMicrobiotaHumansMetabolomeMetabolomicsRNA, Ribosomal, 16SRNA, Ribosomal, 16Shuman microbiomeindustrializationmass spectrometrymetabolomics

Identifiers

PMID36416540
PMCPMC9765122

What OpenQuestion holds

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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.