Evidence map›Paper›PMID 26414954›Full record

ArticleRejuvenation research2016

Interaction Between the FOXO1A-209 Genotype and Tea Drinking Is Significantly Associated with Reduced Mortality at Advanced Ages.

Yi Zeng, Huashuai Chen, Ting Ni, Rongping Ruan, Chao Nie, Xiaomin Liu, Lei Feng, Fengyu Zhang, Jiehua Lu, Jianxin Li and 19 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Rejuvenation research, 2016. 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
0.5field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Comparing Effects of FOXO3 and Residing in Urban Areas on Longevity: A Gene-Environment Interaction Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  3. Review
  4. Review
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

29 authors at 15 institutions in 7 countries.

Yi Zeng1 Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University , Durham, North Carolina.
Huashuai Chen1 Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University , Durham, North Carolina.
Ting Ni4 State Key Laboratory of Genetics Engineering & MOE Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University , Shanghai, China .
Rongping Ruan5 Department of Agriculture Economics. Renmin University of China , Beijing, China .
Chao Nie6 Beijing Genomics Institute (BGI)-Shenzhen , Shenzhen, China .
Xiaomin Liu6 Beijing Genomics Institute (BGI)-Shenzhen , Shenzhen, China .
Lei Feng7 Department of Psychological Medicine, National University of Singapore , Singapore .
Fengyu Zhang8 Lieber Institute for Brain Development, Johns Hopkins University , Baltimore, Maryland.
Jiehua Lu9 Department of Sociology, Peking University , Beijing, China .
Jianxin Li9 Department of Sociology, Peking University , Beijing, China .
Yang Li10 Department of Human Population Genetics, Institute of Molecular Medicine, Peking University , Beijing, China .
Wei Tao11 School of Life Sciences, Peking University , Beijing, China .
Simon G Gregory12 Duke Molecular Physiology Institute, Duke University , Durham, North Carolina.
William Gottschalk13 Department of Neurology, Medical Center, Duke University , Durham, North Carolina.
Michael W Lutz13 Department of Neurology, Medical Center, Duke University , Durham, North Carolina.
Kenneth C Land14 Population Research Institute, Duke University , Durham, North Carolina.
Anatoli Yashin14 Population Research Institute, Duke University , Durham, North Carolina.
Qihua Tan15 Biostatistics and Biodemography, Institute of Public Health, University of Southern Denmark , Odense, Denmark .
Ze Yang16 National Institute of Geriatrics, Beijing Hospital , Ministry of Health of China, Beijing, China .
Lars Bolund6 Beijing Genomics Institute (BGI)-Shenzhen , Shenzhen, China .
Qi Ming6 Beijing Genomics Institute (BGI)-Shenzhen , Shenzhen, China .
Huanming Yang6 Beijing Genomics Institute (BGI)-Shenzhen , Shenzhen, China .
Junxia Min21 School of Medicine, Zhejiang University , Hangzhou, China .
D Craig Willcox22 Department of Human Welfare, Okinawa International University , Ginowan, Japan .
Bradley J Willcox23 Department of Research, Kuakini Medical Center and Department of Geriatric Medicine, John A. Burns School of Medicine, University of Hawaii , Hawaii.
Jun Gu11 School of Life Sciences, Peking University , Beijing, China .
Elizabeth Hauser12 Duke Molecular Physiology Institute, Duke University , Durham, North Carolina.
Xiao-Li Tian10 Department of Human Population Genetics, Institute of Molecular Medicine, Peking University , Beijing, China .
James W Vaupel24 Max Planck Institute for Demographic Research , Rostock, Germany .
Peking University · CNDuke University · USBGI Group (China) · CNDuke Medical Center · USUniversity of Hawaii System · USBeijing Hospital · CNFudan University · CNJohns Hopkins University · USKing Abdulaziz University · SAMax Planck Institute for Demographic Research · DENational University of Singapore · SGRenmin University of China · CNUniversity of Southern Denmark · DKXiangtan University · CNZhejiang University · CN

Funding

STALLARD Admin Supp: Predicting Future Care Needs and Costs for Individual Medicare Enrollees with Incident Suspected Alzheimer's DiseaseP30AG034424 · NIA · DUKE UNIVERSITY · PI SCOTT M. LYNCH · 2009 to 2026
$12.2M
Demographic Analysis on Determinants of Healthy Longevity in ChinaR01AG023627 · NIA · DUKE UNIVERSITY · PI ZENG, YI · 2004 to 2014
$3.9M
NIA NIH HHS P30 AG034424NIA NIH HHS R01 AG023627
6 · The paper itself

Abstract

On the basis of the genotypic/phenotypic data from Chinese Longitudinal Healthy Longevity Survey (CLHLS) and Cox proportional hazard model, the present study demonstrates that interactions between carrying FOXO1A-209 genotypes and tea drinking are significantly associated with lower risk of mortality at advanced ages. Such a significant association is replicated in two independent Han Chinese CLHLS cohorts (p = 0.028-0.048 in the discovery and replication cohorts, and p = 0.003-0.016 in the combined dataset). We found the associations between tea drinking and reduced mortality are much stronger among carriers of the FOXO1A-209 genotype compared to non-carriers, and drinking tea is associated with a reversal of the negative effects of carrying FOXO1A-209 minor alleles, that is, from a substantially increased mortality risk to substantially reduced mortality risk at advanced ages. The impacts are considerably stronger among those who carry two copies of the FOXO1A minor allele than those who carry one copy. On the basis of previously reported experiments on human cell models concerning FOXO1A-by-tea-compounds interactions, we speculate that results in the present study indicate that tea drinking may inhibit FOXO1A-209 gene expression and its biological functions, which reduces the negative impacts of FOXO1A-209 gene on longevity (as reported in the literature) and offers protection against mortality risk at oldest-old ages. Our empirical findings imply that the health outcomes of particular nutritional interventions, including tea drinking, may, in part, depend upon individual genetic profiles, and the research on the effects of nutrigenomics interactions could potentially be useful for rejuvenation therapies in the clinic or associated healthy aging intervention programs.

Indexed as

Gene-Environment InteractionPhenotypeAged, 80 and overAge FactorsAgingCause of DeathChinaFemaleForkhead Box Protein O1Gene FrequencyGenotypeHeterozygoteHomozygoteHumansMaleProtective FactorsForkhead Box Protein O1FOXO1 protein, human

Identifiers

PMID26414954
PMCPMC4931303
OpenAlexW1850970098

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.