Evidence map›Paper›PMID 39203561›Full record

ReviewMicroorganisms2024

Association between Accelerated Biological Aging, Diet, and Gut Microbiome.

Shweta Sharma, Anna Prizment, Heather Nelson, Lin Zhang, Christopher Staley, Jenny N Poynter, Gokul Seshadri, Aidan Ellison, Bharat Thyagarajan

Abstract readReview
In one paragraph

Review in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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.

Shweta SharmaDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0009-0003-2859-9115
Anna PrizmentDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0001-5924-6871
Heather NelsonDivision of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN 55455, USA.
Lin ZhangDivision of Biostatistics & Health Data Science, University of Minnesota, Minneapolis, MN 55455, USA.
Christopher StaleyDepartment of Surgery, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-2309-0083
Jenny N PoynterDepartment of Pediatrics, Division of Epidemiology and Clinical Research, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-8460-3938
Gokul SeshadriDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0009-0007-7348-3399
Aidan EllisonDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA.
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0001-6968-6985

Funding

The 10,000 Families Cohort: a new study to understand the environmental causes of cancerUH3CA265791 · NCI · UNIVERSITY OF MINNESOTA · PI HEATHER Hammond NELSON, Lisa A Peterson · 2023 to 2026
$9.9M
The 10,000 Families Cohort: a new study to understand the environmental causes of cancerUG3CA265791 · NCI · UNIVERSITY OF MINNESOTA · PI NELSON, HEATHER HAMMOND, PETERSON, LISA A · 2021 to 2022
$2.1M
Masonic cancer center and Department of laboratory medicine and pathology NANCI NIH HHS UG3 CA265791NCI NIH HHS UH3 CA265791
6 · The paper itself

Abstract

Factors driving accelerated biological age (BA), an important predictor of chronic diseases, remain poorly understood. This study focuses on the impact of diet and gut microbiome on accelerated BA. Accelerated Klemera-Doubal biological age (KDM-BA) was estimated as the difference between KDM-BA and chronological age. We assessed the cross-sectional association between accelerated KDM-BA and diet/gut microbiome in 117 adult participants from the 10,000 Families Study. 16S rRNA sequencing was used to estimate the abundances of gut bacterial genera. Multivariable linear mixed models evaluated the associations between accelerated KDM-BA and diet/gut microbiome after adjusting for family relatedness, diet, age, sex, smoking status, alcohol intake, and BMI. One standard deviation (SD) increase in processed meat was associated with a 1.91-year increase in accelerated KDM-BA (

Indexed as

accelerated agingdietgut microbiome

Identifiers

PMID39203561
PMCPMC11357197

What OpenQuestion holds

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Registered trials

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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.