Evidence map›Paper›PMID 36993264›Full record

ArticlebioRxiv : the preprint server for biology2023

Social association predicts immunological similarity in rewilded mice.

A E Downie, O Oyesola, R S Barre, Q Caudron, Y-H Chen, E J Dennis, R Garnier, K Kiwanuka, A Menezes, D J Navarrete and 7 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 6 institutions in 1 country.

A E DownieDepartment of Ecology and Evolutionary Biology, Princeton University; Princeton, NJ 08544, USA.
O OyesolaLaboratory of Parasitic Diseases, National Institute for Allergy and Infectious Diseases, National Institutes of Health; Bethesda, MD 20892, USA.
R S BarreDepartment of Ecology and Evolutionary Biology, Princeton University; Princeton, NJ 08544, USA.
Q CaudronDepartment of Ecology and Evolutionary Biology, Princeton University; Princeton, NJ 08544, USA.
Y-H ChenKimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine; New York, NY 10016, USA.
E J DennisJanelia Research Campus, Howard Hughes Medical Institute; Ashburn, VA 20147, USA.
R GarnierDepartment of Ecology and Evolutionary Biology, Princeton University; Princeton, NJ 08544, USA.
K KiwanukaLaboratory of Parasitic Diseases, National Institute for Allergy and Infectious Diseases, National Institutes of Health; Bethesda, MD 20892, USA.
A MenezesDepartment of Ecology and Evolutionary Biology, Princeton University; Princeton, NJ 08544, USA.
D J NavarreteDepartment of Ecology and Evolutionary Biology, Princeton University; Princeton, NJ 08544, USA.
O Mondragón-PalominoLaboratory of Parasitic Diseases, National Institute for Allergy and Infectious Diseases, National Institutes of Health; Bethesda, MD 20892, USA.
J B SaundersDepartment of Ecology and Evolutionary Biology, Princeton University; Princeton, NJ 08544, USA.
C K TokitaDepartment of Ecology and Evolutionary Biology, Princeton University; Princeton, NJ 08544, USA.
K ZaldanaLaboratory of Parasitic Diseases, National Institute for Allergy and Infectious Diseases, National Institutes of Health; Bethesda, MD 20892, USA.
K CadwellKimmel Center for Biology and Medicine at the Skirball Institute, New York University Grossman School of Medicine; New York, NY 10016, USA.
P LokeLaboratory of Parasitic Diseases, National Institute for Allergy and Infectious Diseases, National Institutes of Health; Bethesda, MD 20892, USA.
A L GrahamDepartment of Ecology and Evolutionary Biology, Princeton University; Princeton, NJ 08544, USA.
Princeton University · USNational Institutes of Health · USNew York Proton Center · USHoward Hughes Medical Institute · USSanta Fe Institute · USThe University of Texas Health Science Center at San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental influences on immune phenotypes are well-documented, but our understanding of which elements of the environment affect immune systems, and how, remains vague. Behaviors, including socializing with others, are central to an individual's interaction with its environment. We tracked behavior of rewilded laboratory mice of three inbred strains in outdoor enclosures and examined contributions of behavior, including social associations, to immune phenotypes. We found that the more associated two individuals were, the more similar their immune phenotypes were. Social association was particularly predictive of similar memory T and B cell profiles and was more influential than sibling relationships or worm infection status. These results highlight the importance of social networks for immune phenotype and reveal important immunological correlates of social life.

Identifiers

PMID36993264
PMCPMC10055139
OpenAlexW4327861501

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.