Evidence map›Paper›PMID 38376180›Full record

ArticlemSystems2024

Temporal dynamics of gut microbiomes in non-industrialized urban Amazonia.

Ana Paula Schaan, Amanda Vidal, An-Ni Zhang, Mathilde Poyet, Eric J Alm, Mathieu Groussin, Ândrea Ribeiro-Dos-Santos

Open access · goldAbstract read
In one paragraph

Article in mSystems, 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
1.2field-weighted citation impact, top 24% of its field
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, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

7 authors at 5 institutions in 3 countries.

Ana Paula SchaanGenetics and Molecular Biology Program, Universidade Federal do Pará, Belém, Pará, Brazil.ORCID 0000-0001-6182-9961
Amanda VidalInstituto Tecnológico Vale, Belém, Pará, Brazil.
An-Ni ZhangDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Mathilde PoyetSchleswig-Holstein University Clinic, Kiel, Germany.
Eric J AlmCenter for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID 0000-0001-8294-9364
Mathieu Groussin *Institute of Clinical Molecular Biology, Christian-Albrecht University of Kiel, Kiel, Germany.ORCID 0000-0002-0942-7217
Ândrea Ribeiro-Dos-Santos *Genetics and Molecular Biology Program, Universidade Federal do Pará, Belém, Pará, Brazil.ORCID 0000-0001-7001-1483
Broad Institute · USChristian-Albrechts-Universität zu Kiel · DEMassachusetts Institute of Technology · USUniversidade Federal do Pará · BRVale Technological Institute · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 304413/2015-1Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) 88882.160155/2017-01
6 · The paper itself

Abstract

Increasing levels of industrialization have been associated with changes in gut microbiome structure and loss of features thought to be crucial for maintaining gut ecological balance. The stability of gut microbial communities over time within individuals seems to be largely affected by these changes but has been overlooked among transitioning populations from low- to middle-income countries. Here, we used metagenomic sequencing to characterize the temporal dynamics in gut microbiomes of 24 individuals living an urban non-industrialized lifestyle in the Brazilian Amazon. We further contextualized our data with 165 matching longitudinal samples from an urban industrialized and a rural non-industrialized population. We show that gut microbiome composition and diversity have greater variability over time among non-industrialized individuals when compared to industrialized counterparts and that taxa may present diverse temporal dynamics across human populations. Enterotype classifications show that community types are generally stable over time despite shifts in microbiome structure. Furthermore, by tracking genomes over time, we show that levels of bacterial population replacements are more frequent among Amazonian individuals and that non-synonymous variants accumulate in genes associated with degradation of host dietary polysaccharides. Taken together, our results suggest that the stability of gut microbiomes is influenced by levels of industrialization and that tracking microbial population dynamics is important to understand how the microbiome will adapt to these transitions.IMPORTANCEThe transition from a rural or non-industrialized lifestyle to urbanization and industrialization has been linked to changes in the structure and function of the human gut microbiome. Understanding how the gut microbiomes changes over time is crucial to define healthy states and to grasp how the gut microbiome interacts with the host environment. Here, we investigate the temporal dynamics of gut microbiomes from an urban and non-industrialized population in the Amazon, as well as metagenomic data sets from urban United States and rural Tanzania. We showed that healthy non-industrialized microbiomes experience greater compositional shifts over time compared to industrialized individuals. Furthermore, bacterial strain populations are more frequently replaced in non-industrialized microbiomes, and most non-synonymous mutations accumulate in genes associated with the degradation of host dietary components. This indicates that microbiome stability is affected by transitions to industrialization, and that strain tracking can elucidate the ecological dynamics behind such transitions.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaBacteriaBrazilHumansUrbanizationAmazongut microbiomeindustrializationmetagenomicstemporal dynamicsurbanization

Identifiers

PMID38376180
PMCPMC10997323
OpenAlexW4391955697

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.