Evidence map›Paper›PMID 38352363›Full record

ArticlebioRxiv : the preprint server for biology2024

Longitudinal profiling of the microbiome at four body sites reveals core stability and individualized dynamics during health and disease.

Xin Zhou, Xiaotao Shen, Jethro S Johnson, Daniel J Spakowicz, Melissa Agnello, Wenyu Zhou, Monica Avina, Alexander Honkala, Faye Chleilat, Shirley Jingyi Chen and 28 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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, 7 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

38 authors at 10 institutions in 4 countries.

Xiaotao Shen
Jethro S Johnson
Daniel J SpakowiczORCID 0000-0003-2314-6435
Melissa Agnello
Wenyu Zhou
Monica Avina
Alexander Honkala
Faye Chleilat
Shirley Jingyi Chen
Kexin Cha
Shana Leopold
Chenchen Zhu
Lei Chen
Lin Lyu
Daniel Hornburg
Si Wu
Xinyue Zhang
Chao Jiang
Liuyiqi Jiang
Lihua Jiang
Ruiqi Jian
Andrew W Brooks
Meng Wang
Kévin Contrepois
Peng Gao
Sophia Miryam Schüssler-Fiorenza Rose
Thi Dong Binh Tran
Hoan Nguyen
Alessandra Celli
Bo-Young Hong
Eddy J Bautista
Yair Dorsett
Paula Kavathas
Yanjiao Zhou
Erica Sodergren
George M Weinstock
Michael P Snyder
Stanford University · USJackson Laboratory · USStanford Medicine · USZhejiang University · CNShanghai Jiao Tong University · CNYale University · USOregon Health & Science University · USTexas Tech University · USThe Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · USUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand dynamic interplay between the human microbiome and host during health and disease, we analyzed the microbial composition, temporal dynamics, and associations with host multi-omics, immune and clinical markers of microbiomes from four body sites in 86 participants over six years. We found that microbiome stability and individuality are body-site-specific and heavily influenced by the host. The stool and oral microbiome were more stable than the skin and nasal microbiomes, possibly due to their interaction with the host and environment. Also, we identified individual-specific and commonly shared bacterial taxa, with individualized taxa showing greater stability. Interestingly, microbiome dynamics correlated across body sites, suggesting systemic coordination influenced by host-microbial-environment interactions. Notably, insulin-resistant individuals showed altered microbial stability and associations between microbiome, molecular markers, and clinical features, suggesting their disrupted interaction in metabolic disease. Our study offers comprehensive views of multi-site microbial dynamics and their relationship with host health and disease. Study Highlights: The stability of the human microbiome varies among individuals and body sites.Highly individualized microbial genera are more stable over time.At each of the four body sites, systematic interactions between the environment, the host and bacteria can be detected.Individuals with insulin resistance have lower microbiome stability, a more diversified skin microbiome, and significantly altered host-microbiome interactions.

Identifiers

PMID38352363
PMCPMC10862915
OpenAlexW4391482180

What OpenQuestion holds

Textmetadata
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.