Evidence map›Paper›PMID 40481564›Full record

ArticleDiabetology & metabolic syndrome2025

Associations of serum Klotho with diabetic kidney disease prevalence and mortality: insights from a nationally representative U.S. cohort.

Peichen Xie, Dingding Wang, Meng Zhang, Lanping Jiang, Yagui Qiu, Yiqin Wang, Siyang Ye, Manhuai Zhang, Li Tan, Sixiu Chen and 11 more

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 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

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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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

21 authors.

Peichen Xie *Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Dingding Wang *Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Meng Zhang *Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Lanping JiangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Yagui QiuDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Yiqin WangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Siyang YeDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Manhuai ZhangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Li TanDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Sixiu ChenDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Qianling LiuDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Huajing PengDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Suchun LiDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Jianbo LiDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Qiong WenDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China.
Leigang JinState Key Laboratory of Pharmaceutical Biotechnology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China.
Xiaoping WuState Key Laboratory of Pharmaceutical Biotechnology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China.
Kam Wa ChanSchool of Chinese Medicine, Hong Kong Baptist University, Hong Kong, People's Republic of China.
Sydney C W TangDivision of Nephrology, Department of Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, People's Republic of China. scwtang@hku.hk.
Wei ChenDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China. chenwei99@mail.sysu.edu.cn.
Bin LiDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People's Republic of China. libin85@mail.sysu.edu.cn.

Funding

National Natural Science Foundation of China 82100747National Natural Science Foundation of China 82170737National Natural Science Foundation of China 82370707Natural Science Foundation of Guangdong Province No. 2024A1515013210
6 · The paper itself

Abstract

backgroundSerum Klotho, a biomarker associated with anti-aging, has been implicated in kidney disease. However, there is a lack of robust evidence for the relationship between the serum Klotho and diabetic kidney disease (DKD). This study aimed to investigate the association of the serum Klotho levels with DKD and assess the relationship between serum Klotho and all-cause mortality in individuals with DKD.

methodsWe utilized data from the 2007-2016 National Health and Nutrition Examination Survey (NHANES), incorporating both cross-sectional and cohort study designs. The association between the serum Klotho and DKD was examined using weighted logistic regression models. To estimate the hazard ratios (HRs) and 95% confidence intervals (95% CIs) for all-cause mortality, weighted Çox proportional hazards models were applied. Restricted cubic spline analysis was used to assess the linear or nonlinear relationships between the serum Klotho and DKD or all-cause mortality. Additionally, mediation analysis was conducted to determine whether the systemic immune-inflammatory index (SII) mediated the effect of serum Klotho on all-cause mortality.

resultsOur findings revealed a significant reverse association between serum Klotho and DKD after adjusting for sociodemographic and lifestyle factors in Model 2 (odds ratio [OR] 0.65, 95% CI 0.47-0.90, P = 0.01). However, this association was attenuated and lost statistical significance after further adjustment for comorbidities, SII, estimated glomerular filtration rate, and urine albumin/creatinine ratio in Model 3 (OR 0.65, 95% CI 0.32-1.31, P = 0.2). During an average follow-up period of 76 months, a total of 795 individuals (34%) experienced mortality. Weighted multivariate Cox regression models indicated that each one-unit increase in the serum Klotho was associated with a reduced risk of all-cause mortality (HR 0.48, 95% CI 0.29-0.82, P = 0.008) in DKD patients. Furthermore, restricted cubic spline analysis identified a nonlinear relationship between the serum Klotho and DKD (P for nonlinearity < 0.001), while a linear relationship was observed between serum Klotho and all-cause mortality (P for nonlinearity = 0.3480) among DKD populations. Stratified and interaction analysis confirmed the robustness of these core findings. Additionally, SII was found to partially mediate the association between serum Klotho and all-cause mortality, accounting for 5.7% of the effect.

conclusionsSerum Klotho is inversely associated with the prevalence of DKD and is also linked to reduced all-cause mortality in individuals with DKD.

Indexed as

Diabetic kidney diseaseKlothoMortalityNHANESPrevalence

Identifiers

PMID40481564
PMCPMC12144778

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