Evidence map›Paper›PMID 40540389›Full record

ArticleAging cell2025

Dietary Selenium Deficiency Accelerates the Onset of Aging-Related Gut Microbial Changes in Aged Telomere-Humanized Mice, With Akkermansia muciniphila Being the Most Prominent and Alleviating Selenium Deficiency-Induced Type 2 Diabetes.

Ying-Chen Huang, Hsin-Yi Lu, Li Zhang, Alicia Olivier, Tung-Lung Wu, Chuan-Yu Hsu, Caleb LeGrand, Huawei Zeng, Samantha Curran, Qingzhou Wang and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging cell, 2025. 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

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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. Review
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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

17 authors.

Ying-Chen HuangDepartment of Biochemistry, Nutrition, and Health Promotion, Mississippi State University, Mississippi State, Mississippi, USA.
Hsin-Yi LuDepartment of Biochemistry, Nutrition, and Health Promotion, Mississippi State University, Mississippi State, Mississippi, USA.
Li ZhangDepartment of Biochemistry, Nutrition, and Health Promotion, Mississippi State University, Mississippi State, Mississippi, USA.ORCID 0000-0002-3933-5794
Alicia OlivierDepartment of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, Mississippi, USA.
Tung-Lung WuDepartment of Mathematics and Statistics, Mississippi State University, Mississippi State, Mississippi, USA.
Chuan-Yu HsuInstitute for Genomics, Biocomputing, and Biotechnology, Mississippi State University, Mississippi State, Mississippi, USA.
Caleb LeGrandDepartment of Biochemistry, Nutrition, and Health Promotion, Mississippi State University, Mississippi State, Mississippi, USA.
Huawei ZengGrand Forks Human Nutrition Research Center, USDA, Grand Forks, North Dakota, USA.
Samantha CurranDepartment of Biochemistry, Nutrition, and Health Promotion, Mississippi State University, Mississippi State, Mississippi, USA.ORCID 0000-0001-5747-6315
Qingzhou WangDepartment of Biochemistry, Nutrition, and Health Promotion, Mississippi State University, Mississippi State, Mississippi, USA.
Ramakrishna NannapaneniDepartment of Biochemistry, Nutrition, and Health Promotion, Mississippi State University, Mississippi State, Mississippi, USA.
Xue ZhangDepartment of Biochemistry, Nutrition, and Health Promotion, Mississippi State University, Mississippi State, Mississippi, USA.
Max TicóDepartment of Genetics, Microbiology and Statistics, Universitat de Barcelona, Barcelona, Spain.ORCID 0009-0005-8052-5257
Marco MariottiDepartment of Genetics, Microbiology and Statistics, Universitat de Barcelona, Barcelona, Spain.
Ryan T Y WuDepartment of Nutrition and Food Science, University of Maryland, College Park, Maryland, USA.
Gerald F CombsJean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA.
Wen-Hsing ChengDepartment of Biochemistry, Nutrition, and Health Promotion, Mississippi State University, Mississippi State, Mississippi, USA.ORCID 0000-0003-2720-5164

Funding

Optimized Selenium Intake, Gut Microbiota, and DiabetesR15DK117407 · NIDDK · MISSISSIPPI STATE UNIVERSITY · PI CHENG, WEN-HSING · 2018 to 2018
$421k
Agricultural Research Service 3062-51000-050-00DNIDDK NIH HHS R15 DK117407NIH HHS DK117407
6 · The paper itself

Abstract

Previous studies have shown that dietary selenium (Se) deficiency in mice reshapes gut microbiota, exacerbates healthspan deterioration (e.g., type 2 diabetes), and paradoxically activates beneficial longevity pathways. This study demonstrated that dietary Se deficiency accelerated many age-related gut microbial changes in aged telomere-humanized C57BL/6J diabetic mice in a sexually dimorphic manner, with Akkermansia muciniphila showing the greatest enrichment in males. However, dietary Se deficiency did not enrich A. muciniphila in mature or middle-aged male C57BL/6J wild-type mice. Oral gavage of A. muciniphila alleviated Se deficiency-induced type 2 diabetes-like symptoms, reversed mucosal barrier dysfunction and gut inflammation, and resulted in a trend of symbiotic and competitive suppression changes in certain gut bacteria in mature wild-type mice under conventional conditions. The beneficial effects of A. muciniphila appeared to be independent of selenoproteins sensitive to dietary Se deficiency, such as GPX1, SELENOH, and SELENOW, in the liver and muscle. Altogether, these results show that dietary Se deficiency accelerates age-related A. muciniphila enrichment specifically in aged male mice with severe insulin resistance and pancreatic senescence, indicating a potential hormetic response to Se deficiency through reshaped gut microbiota, which alleviates hyperglycemia and partially compensates for healthspan decline.

Indexed as

AgingDiabetes Mellitus, Type 2Gastrointestinal MicrobiomeSeleniumTelomereAkkermansiaAnimalsHumansMaleMiceMice, Inbred C57BLSelenium

Identifiers

PMID40540389
PMCPMC12341817

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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.