Evidence map›Paper›PMID 35906422›Full record

ReviewNature reviews. Microbiology2022

Microbiota succession throughout life from the cradle to the grave.

Cameron Martino, Amanda Hazel Dilmore, Zachary M Burcham, Jessica L Metcalf, Dilip Jeste, Rob Knight

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 151 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
151citing papers in PubMed, 1 pooled it
19.7field-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

151 citing papers in PubMed, 1 synthesis or guideline pooled it, 248 citations in OpenAlex.

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  12. Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026
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91 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

6 authors at 2 institutions in 1 country.

Cameron Martino *Department of Paediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA.ORCID 0000-0001-9334-1258
Amanda Hazel Dilmore *Department of Paediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA.
Zachary M BurchamDepartment of Animal Sciences, Colorado State University, Fort Collins, CO, USA.ORCID 0000-0003-1600-9643
Jessica L MetcalfDepartment of Animal Sciences, Colorado State University, Fort Collins, CO, USA.
Dilip JesteCenter for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA.
Rob KnightDepartment of Paediatrics, University of California San Diego School of Medicine, La Jolla, CA, USA. robknight@ucsd.edu.ORCID 0000-0002-0975-9019
University of California San Diego · USColorado State University · US

Funding

Project 4 - Mechanistic studies on the role of the gut microbiome in models for Alzheimer's diseaseU19AG063744 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ROB KNIGHT, Rima F Kaddurah-Daouk · 2019 to 2026
$54.1M
BLRD VA I01 BX000194NIA NIH HHS U19 AG063744
6 · The paper itself

Abstract

Associations between age and the human microbiota are robust and reproducible. The microbial composition at several body sites can predict human chronological age relatively accurately. Although it is largely unknown why specific microorganisms are more abundant at certain ages, human microbiota research has elucidated a series of microbial community transformations that occur between birth and death. In this Review, we explore microbial succession in the healthy human microbiota from the cradle to the grave. We discuss the stages from primary succession at birth, to disruptions by disease or antibiotic use, to microbial expansion at death. We address how these successions differ by body site and by domain (bacteria, fungi or viruses). We also review experimental tools that microbiota researchers use to conduct this work. Finally, we discuss future directions for studying the microbiota's relationship with age, including designing consistent, well-powered, longitudinal studies, performing robust statistical analyses and improving characterization of non-bacterial microorganisms.

Indexed as

MicrobiotaBacteriaFungiHumansInfant, Newborn

Identifiers

PMID35906422
PMCPMC12875531
OpenAlexW4288702909

What OpenQuestion holds

Textmetadata
LicenceTDM
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.