Evidence mapPaperPMID 41235303Full record

ArticleFrontiers in nutrition2025

Comprehensive dietary patterns explain acquired cystic kidney disease risk through genetic and metabolomic mechanisms.

Chenhao Xu, Junjie Zhao, Kan Wu, Shengzhuo Liu, Fan Zhang, Qin Cao, Zhouwei Wan, Yongquan Tang, Zhihong Liu, Hao Zeng and 2 more

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Chenhao Xu *Department of Urology, Institute of Urology, Sichuan Clinical Research Center for Kidney and Urologic Diseases, West China Hospital, Sichuan University, Chengdu, China.
Junjie Zhao *Department of Urology, Institute of Urology, Sichuan Clinical Research Center for Kidney and Urologic Diseases, West China Hospital, Sichuan University, Chengdu, China.
Kan Wu *Department of Urology, Institute of Urology, Sichuan Clinical Research Center for Kidney and Urologic Diseases, West China Hospital, Sichuan University, Chengdu, China.
Shengzhuo Liu *Department of Urology, Institute of Urology, Sichuan Clinical Research Center for Kidney and Urologic Diseases, West China Hospital, Sichuan University, Chengdu, China.
Fan ZhangDepartment of Urology, Institute of Urology, Sichuan Clinical Research Center for Kidney and Urologic Diseases, West China Hospital, Sichuan University, Chengdu, China.
Qin CaoSchool of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Zhouwei WanDepartment of Urology, Institute of Urology, Sichuan Clinical Research Center for Kidney and Urologic Diseases, West China Hospital, Sichuan University, Chengdu, China.
Yongquan TangDepartment of Pediatric Surgery, West China Hospital, Sichuan University, Chengdu, China.
Zhihong LiuDepartment of Urology, Institute of Urology, Sichuan Clinical Research Center for Kidney and Urologic Diseases, West China Hospital, Sichuan University, Chengdu, China.
Hao ZengDepartment of Urology, Institute of Urology, Sichuan Clinical Research Center for Kidney and Urologic Diseases, West China Hospital, Sichuan University, Chengdu, China.
Xianding WangDepartment of Urology, Institute of Urology, Sichuan Clinical Research Center for Kidney and Urologic Diseases, West China Hospital, Sichuan University, Chengdu, China.
Jiayu LiangDepartment of Urology, Institute of Urology, Sichuan Clinical Research Center for Kidney and Urologic Diseases, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acquired renal cysts (ARC) are associated with kidney function decline, necessitating novel dietary pattern (DP) analyses in large cohorts. Methods: This UK Biobank prospective cohort study (2006-2010) included participants with ≥2 dietary records, excluding those with severe kidney damage. The constructed comprehensive dietary pattern integration (CDPI) utilized reduced rank regression (RRR) and latent profile analysis (LPA). ARC cases (ICD-10: N28.1) were assessed via Cox regression for risk and dose-response, with NMR metabolites examined as mediators. Results: Among 119,709 participants (median follow-up: 10.57 years), 850 ARC cases were identified. Lipid-rich and hyperglycemic diets increased ARC risk [e.g., HRs for G1.DP1: 1.080 (1.024, 1.139); G1.DP2: 1.144 (1.048, 1.249)], while micronutrient-rich diets showed weak protective effects [G4.DP1: 0.943 (0.892, 0.998)]. LPA confirmed RRR findings, and 7/251 NMR metabolites had significant mediating effects. Conclusion: Diets high in fat (cheese, butter, pizza) and sugar (chocolate, sugary drinks) elevated ARC risk, whereas micronutrient- and fiber-rich diets (vegetables, fruit, lean poultry, nuts, eggs) were protective. Key mediators included branched-chain amino acids, IGF-1, and RBC distribution width.

Indexed as

CDPIdietkidney functionreduced rank regressionrenal cyst

Identifiers

PMID41235303
PMCPMC12605427

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.