Evidence map›Paper›PMID 41127238›Full record

ArticleClinical kidney journal2025

Effect of healthy lifestyle on renal dysfunction risk: interactions with genetic risk.

Masato Takase, Naoki Nakaya, Mana Kogure, Rieko Hatanaka, Kumi Nakaya, Ippei Chiba, Sayuri Tokioka, Kotaro Nochioka, Tomohiro Nakamura, Naho Tsuchiya and 23 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical kidney journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Lifestyle and Environment Aspects Challenging Kidney Health.Kidney & blood pressure research · 2026
    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

33 authors.

Masato TakaseGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.ORCID https://orcid.org/0000-0001-7009-387X
Naoki NakayaGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Mana KogureGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Rieko HatanakaGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Kumi NakayaGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Ippei ChibaGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Sayuri TokiokaGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Kotaro NochiokaGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.ORCID https://orcid.org/0000-0001-8297-8624
Tomohiro NakamuraTohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Naho TsuchiyaGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Takumi HirataTohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Ikumi KannoGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Akira NaritaGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Taku ObaraGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Mami IshikuroGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Hisashi OhsetoGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Ippei TakahashiGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.ORCID https://orcid.org/0000-0003-4858-2209
Akira UrunoTohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Tomoko KobayashiGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Eiichi N KodamaTohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Yohei HamanakaTohoku Medical Megabank Organization, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Masatsugu OruiGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.ORCID https://orcid.org/0000-0002-4871-8455
Soichi OgishimaGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Satoshi NagaieGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Nobuo FuseGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Junichi SugawaraGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Shinichi KuriyamaGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Koichi MatsudaLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, the University of Tokyo, Shirokanedai, Minato-ku, Tokyo, Japan.
Yoko IzumiGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Kengo KinoshitaGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Gen TamiyaGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Atsushi HozawaGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.
Masayuki YamamotoGraduate School of Medicine, Tohoku University, Aoba-ku, Sendai, Miyagi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Whether adherence to a healthy lifestyle can mitigate genetic risk for renal dysfunction remains unclear. Methods: This prospective cohort study included 12 680 adults aged ≥20 years, free from chronic kidney disease at baseline, enrolled in the Tohoku Medical Megabank Community-based Cohort study. A healthy lifestyle score-based on normal weight, never smoking, never drinking, regular physical activity, and a low urinary sodium-to-potassium ratio-classified participants into ideal, intermediate, or poor lifestyle groups. A polygenic risk score (PRS) was constructed using estimated glomerular filtration rate (eGFR) data from a previous multi-ancestry genome-wide association meta-analysis. The primary outcome was renal dysfunction, defined as eGFR <60.0 ml/min/1.73 m Results: Among the 12 680 adults, 123 participants (0.9%) developed renal dysfunction during a mean follow-up of 4.4 ± 0.8 years. Poor lifestyle was consistently associated with higher risk of renal dysfunction across most PRS categories. Participants with intermediate genetic risk had elevated risk only when also exhibiting an intermediate lifestyle. Formal testing for effect modification by PRS provided modest evidence that the association between high genetic risk and increased risk of renal dysfunction was stronger among individuals with an intermediate lifestyle. Although the addition of the PRS to the model included the C-statistic, this improvement was not statistically significant. Conclusions: Maintaining a healthy lifestyle is associated with lower risk of renal dysfunction, regardless of genetic risk. Combining PRSs with lifestyle information may enhance risk stratification, although further studies are needed to improve predictive accuracy.

Indexed as

chronic kidney diseaselifestyle factorpolygenic risk score

Identifiers

PMID41127238
PMCPMC12538286

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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.