Evidence map›Paper›PMID 30439937›Full record

ArticlePLoS biology2018

Gut microbiome transition across a lifestyle gradient in Himalaya.

Aashish R Jha, Emily R Davenport, Yoshina Gautam, Dinesh Bhandari, Sarmila Tandukar, Katharine M Ng, Gabriela K Fragiadakis, Susan Holmes, Guru Prasad Gautam, Jeff Leach and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 2 pooled it
7.1field-weighted citation impact, top 2% 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

114 citing papers in PubMed, 2 syntheses or guidelines pooled it, 187 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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  6. Article
  7. Early-life colonization withScience (New York, N.Y.) · 2026
    Article
  8. Article
  9. Article
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  12. Industrialization increases the estrogen-recycling capacity of the gut microbiome.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  13. Review
  14. Article
  15. Article
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  17. Article
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54 more citing papers are in PubMed but not listed here.

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

13 authors at 6 institutions in 3 countries.

Aashish R JhaDepartment of Biomedical Data Science, Stanford University, Stanford, California, United States of America.ORCID 0000-0003-3227-1086
Emily R DavenportDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, New York, United States of America.
Yoshina GautamDepartment of Biomedical Data Science, Stanford University, Stanford, California, United States of America.
Dinesh BhandariPublic Health Research Laboratory, Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Sarmila TandukarPublic Health Research Laboratory, Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Katharine M NgDepartment of Microbiology and Immunology, Stanford University, Stanford, California, United States of America.
Gabriela K FragiadakisDepartment of Microbiology and Immunology, Stanford University, Stanford, California, United States of America.
Susan HolmesDepartment of Statistics, Stanford University, Stanford, California, United States of America.
Guru Prasad GautamDepartment of Geography, Tribhuvan University, Nepalgunj, Nepal.
Jeff LeachHuman Food Project, Terlingua, Texas, United States of America.
Jeevan Bahadur SherchandPublic Health Research Laboratory, Institute of Medicine, Maharajgunj, Kathmandu, Nepal.
Carlos D BustamanteDepartment of Biomedical Data Science, Stanford University, Stanford, California, United States of America.
Justin L SonnenburgDepartment of Microbiology and Immunology, Stanford University, Stanford, California, United States of America.
Stanford University · USTribhuvan University Teaching Hospital · NPChan Zuckerberg Initiative (United States) · USCornell University · USSt Thomas' Hospital · GBTribhuvan University · NP

Funding

Impact of Diet on Intestinal Microbiota-Host DynamicsR01DK085025 · NIDDK · STANFORD UNIVERSITY · PI JUSTIN L SONNENBURG · 2010 to 2026
$6.4M
Modeling Human Gut Microbiome Community Structure in Healthy and Diseased StatesF32DK109595 · NIDDK · CORNELL UNIVERSITY · PI DAVENPORT, EMILY · 2016 to 2018
$173k
NIDDK NIH HHS F32 DK109595NIDDK NIH HHS R01 DK085025
6 · The paper itself

Abstract

The composition of the gut microbiome in industrialized populations differs from those living traditional lifestyles. However, it has been difficult to separate the contributions of human genetic and geographic factors from lifestyle. Whether shifts away from the foraging lifestyle that characterize much of humanity's past influence the gut microbiome, and to what degree, remains unclear. Here, we characterize the stool bacterial composition of four Himalayan populations to investigate how the gut community changes in response to shifts in traditional human lifestyles. These groups led seminomadic hunting-gathering lifestyles until transitioning to varying levels of agricultural dependence upon farming. The Tharu began farming 250-300 years ago, the Raute and Raji transitioned 30-40 years ago, and the Chepang retain many aspects of a foraging lifestyle. We assess the contributions of dietary and environmental factors on their gut-associated microbes and find that differences in the lifestyles of Himalayan foragers and farmers are strongly correlated with microbial community variation. Furthermore, the gut microbiomes of all four traditional Himalayan populations are distinct from that of the Americans, indicating that industrialization may further exacerbate differences in the gut community. The Chepang foragers harbor an elevated abundance of taxa associated with foragers around the world. Conversely, the gut microbiomes of the populations that have transitioned to farming are more similar to those of Americans, with agricultural dependence and several associated lifestyle and environmental factors correlating with the extent of microbiome divergence from the foraging population. The gut microbiomes of Raute and Raji reveal an intermediate state between the Chepang and Tharu, indicating that divergence from a stereotypical foraging microbiome can occur within a single generation. Our results also show that environmental factors such as drinking water source and solid cooking fuel are significantly associated with the gut microbiome. Despite the pronounced differences in gut bacterial composition across populations, we found little differences in alpha diversity across lifestyles. These findings in genetically similar populations living in the same geographical region establish the key role of lifestyle in determining human gut microbiome composition and point to the next challenging steps of determining how large-scale gut microbiome reconfiguration impacts human biology.

Indexed as

AdultBacteriaDietDiet, PaleolithicFecesFemaleGastrointestinal MicrobiomeGenetics, PopulationGeographyHumansLife StyleMaleMicrobiotaMiddle AgedNepalRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID30439937
PMCPMC6237292
OpenAlexW2951039822

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.