Evidence map›Paper›PMID 41444941›Full record

ArticleBMC nephrology2025

Urinary stress hormones and their metabolites as predictive biomarkers for CKD with diabetes.

Yujie Jin, Song Dong, Yan Ma, Chunchen Ni, Yan Yao, Shujuan Shang, Mengru Wang, Jiahao Xu, Fan Liu, MengMeng Qian and 5 more

Abstract read
In one paragraph

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

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0cells of the map it votes in
0citing papers in PubMed
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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

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

15 authors.

Yujie Jin *Department of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
Song Dong *Department of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
Yan Ma *Department of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
Chunchen Ni *Department of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
Yan Yao *Department of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
Shujuan ShangDepartment of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
Mengru WangDepartment of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
Jiahao XuDepartment of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
Fan LiuDepartment of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
MengMeng QianDepartment of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
Shiqiang LiuDepartment of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
Dong LiSuzhou Boyuan Medical Technology Co., LTD, Suzhou, Jiangsu, China.
Lizhuo WangAnhui Province Key Laboratory of Basic d Research an Transformation of Age-Related Diseases, Wannan Medical College, Wuhu, Anhui, China.
Liuming YuSuzhou Boyuan Medical Technology Co., LTD, Suzhou, Jiangsu, China. yulm@szevermed.com.
Jialin GaoDepartment of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China. gaojialin-ktz@wnmc.edu.cn.

Funding

he Clinical Medical Research Transformation Project of Anhui Province 202204295107020067he "Peak" Training Program for Scientific Research of Yijishan Hospital GF2019J07Major Project Funding from the Anhui Provincial Education Department 2023AH040244National Natural Science Foundation of China 82370808the "Climbing Peak" Training Program for Innovative Technology Team of Yijishan Hospital PF2019013
6 · The paper itself

Abstract

aimsThis study aimed to characterize urinary stress hormones and their metabolites in patients with chronic kidney disease associated with diabetes (CKD with diabetes) and to evaluate their associations with renal function, providing insights into stress-related mechanisms and potential biomarker utility. MATERIALS AND

methodsWe enrolled 735 participants, including 449 with type 2 diabetes mellitus(T2D)and 286 with CKD with diabetes. Urinary concentrations of norepinephrine, cortisol, aldosterone, and 17-ketosteroids were analyzed. Statistical methods included correlation and regression analyses, receiver operating characteristic (ROC) curves, and orthogonal partial least squares discriminant analysis (OPLS-DA) to evaluate diagnostic value.

resultsUrinary norepinephrine, cortisol, and 17-ketosteroids levels were significantly lower in CKD patients with diabetes than in those with diabetes alone. Norepinephrine was inversely correlated with albumin-to-creatinine ratio, urinary microalbumin, blood urea nitrogen, and serum creatinine, and positively with estimated glomerular filtration rate. Similar trends were observed for cortisol and 17-ketosteroids. Aldosterone was also negatively correlated with urinary microalbumin and creatinine. OPLS-DA showed distinct metabolic profiles between CKD with diabetes and diabetes, suggesting metabolic heterogeneity. Multivariate logistic regression identified norepinephrine as an independent protective factor, while diastolic blood pressure, urinary glucose, and homovanillic acid were risk factors. A composite model integrating norepinephrine, 17-ketosteroids, and homovanillic acid demonstrated high diagnostic performance, with the norepinephrine-based model achieving an AUC of 0.831 in validation.

conclusionUrinary adrenal hormones and their metabolites provide valuable insights into stress-related mechanisms in CKD with diabetes and may hold potential as complementary noninvasive biomarkers for disease assessment. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesHydrocortisoneNorepinephrineRenal Insufficiency, ChronicAgedAldosteroneBiomarkersFemaleHumansMaleMiddle AgedPredictive Value of TestsAldosteroneBiomarkersHydrocortisoneNorepinephrineAdrenal hormonesBiomarkersCKD with diabetesType 2 diabetes mellitusUrinary stress hormones

Identifiers

PMID41444941
PMCPMC12849337

What Socratic holds

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Registered trials

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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 Socratic graph.