Evidence map›Paper›PMID 30679677›Full record

ArticleScientific reports2019

Close social relationships correlate with human gut microbiota composition.

Kimberly A Dill-McFarland, Zheng-Zheng Tang, Julia H Kemis, Robert L Kerby, Guanhua Chen, Alberto Palloni, Thomas Sorenson, Federico E Rey, Pamela Herd

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed
11.1field-weighted citation impact, top 1% 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

121 citing papers in PubMed, 246 citations in OpenAlex.

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61 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

9 authors at 2 institutions in 2 countries.

Kimberly A Dill-McFarlandDepartment of Bacteriology, U. of Wisconsin-Madison, 1550 Linden Drive, Madison, WI, 53706, USA.ORCID 0000-0003-1481-7065
Zheng-Zheng TangDepartment of Biostatistics and Medical Informatics, U. of Wisconsin-Madison, 600 Highland Avenue, Madison, WI, 53792, USA.
Julia H KemisDepartment of Bacteriology, U. of Wisconsin-Madison, 1550 Linden Drive, Madison, WI, 53706, USA.
Robert L KerbyDepartment of Bacteriology, U. of Wisconsin-Madison, 1550 Linden Drive, Madison, WI, 53706, USA.
Guanhua ChenDepartment of Biostatistics and Medical Informatics, U. of Wisconsin-Madison, 600 Highland Avenue, Madison, WI, 53792, USA.ORCID 0000-0002-9314-2037
Alberto PalloniDepartment of Sociology, University of Wisconsin-Madison, Madison, WI, 53706, USA.
Thomas SorensonDepartment of Bacteriology, U. of Wisconsin-Madison, 1550 Linden Drive, Madison, WI, 53706, USA.ORCID 0000-0001-6658-254X
Federico E ReyDepartment of Bacteriology, U. of Wisconsin-Madison, 1550 Linden Drive, Madison, WI, 53706, USA. ferey@wisc.edu.ORCID 0000-0002-0239-7780
Pamela HerdCenter for the Demography of Health and Aging, 1180 Observatory Drive, Madison, WI, 53706, USA. ph627@georgetown.edu.ORCID 0000-0002-0137-5846
University of Wisconsin–Madison · USGeorgetown University · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
A Longitudinal Resource for Genetic Research in Behavioral & Health SciencesR01AG041868 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI FREESE, JEREMY J, HAUSER, ROBERT M. · 2013 to 2017
$3.0M
NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1 TR002373NIA NIH HHS P30 AG017266NIA NIH HHS R01 AG041868
6 · The paper itself

Abstract

Social relationships shape human health and mortality via behavioral, psychosocial, and physiological mechanisms, including inflammatory and immune responses. Though not tested in human studies, recent primate studies indicate that the gut microbiome may also be a biological mechanism linking relationships to health. Integrating microbiota data into the 60-year-old Wisconsin Longitudinal Study, we found that socialness with family and friends is associated with differences in the human fecal microbiota. Analysis of spouse (N = 94) and sibling pairs (N = 83) further revealed that spouses have more similar microbiota and more bacterial taxa in common than siblings, with no observed differences between sibling and unrelated pairs. These differences held even after accounting for dietary factors. The differences between unrelated individuals and married couples was driven entirely by couples who reported close relationships; there were no differences in similarity between couples reporting somewhat close relationships and unrelated individuals. Moreover, married individuals harbor microbial communities of greater diversity and richness relative to those living alone, with the greatest diversity among couples reporting close relationships, which is notable given decades of research documenting the health benefits of marriage. These results suggest that human interactions, especially sustained, close marital relationships, influence the gut microbiota.

Indexed as

Interpersonal RelationsSiblingsAgedBacteriaDNA, BacterialFecesFemaleFriendsGastrointestinal MicrobiomeHumansLongitudinal StudiesMaleMiddle AgedSpousesWisconsinDNA, Bacterial

Identifiers

PMID30679677
PMCPMC6345772
OpenAlexW2916609909

What OpenQuestion holds

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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.