Evidence map›Paper›PMID 37398063›Full record

ArticlebioRxiv : the preprint server for biology2023

An

Rebecca Choi, Rahul Bodkhe, Barbara Pees, Dan Kim, Maureen Berg, David Monnin, Juhyun Cho, Vivek Narayan, Ethan Deller, Michael Shapira

Abstract 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.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

  • Updated by
    An2024
5 · Who and what money

Authors and funding

10 authors.

Rebecca ChoiDepartment of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.
Rahul BodkheDepartment of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.
Barbara PeesDepartment of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.
Dan KimDepartment of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.
Maureen BergDepartment of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.
David MonninDepartment of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.
Juhyun ChoDepartment of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.
Vivek NarayanDepartment of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.
Ethan DellerDepartment of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.
Michael ShapiraDepartment of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.

Funding

Age-dependent changes in gut microbiota composition and their significance for host agingR01AG061302 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI SHAPIRA, MICHAEL · 2019 to 2023
$1.6M
C. elegans as a model for studying genetic control of microbiota structure and functionR01OD024780 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI SHAPIRA, MICHAEL · 2018 to 2020
$1.2M
NIA NIH HHS R01 AG061302NIH HHS R01 OD024780
6 · The paper itself

Abstract

The gut microbiome plays important roles in host function and health. Core microbiomes have been described for different species, and imbalances in their composition, known as dysbiosis, are associated with pathology. Changes in the gut microbiome and dysbiosis are common in aging, possibly due to multi-tissue deterioration, which includes metabolic shifts, dysregulated immunity, and disrupted epithelial barriers. However, the characteristics of these changes, as reported in different studies, are varied and sometimes conflicting. Using clonal populations of

Identifiers

PMID37398063
PMCPMC10312681

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.