Evidence mapPaperPMID 41255535Full record

ArticleFrontiers in endocrinology2025

U-TXM: a novel biomarker for early detection of diabetic kidney disease.

Yujie Jin, Jiahao Xu, Yan Ma, Chunchen Ni, Yan Yao, Shujuan Shang, Mengru Wang, Chunyan Xing, Song Dong, Chaoqun Xiong and 11 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 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

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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

21 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.
Jiahao Xu *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.
Chunyan XingDepartment of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
Song DongDepartment of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
Chaoqun XiongDepartment of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
Kang XieDepartment of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.
Ruixi ZhangAnhui Province Key Laboratory of Basic Research and Transformation of Age-related Diseases, Wannan Medical College, Wuhu, Anhui, China.
Wenjun PeiAnhui Province Key Laboratory of Basic Research and Transformation of Age-related Diseases, 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.
Jinhan ChengDepartment 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.
Siwen ZhangDepartment 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 Research and Transformation of Age-related Diseases, Wannan Medical College, Wuhu, Anhui, China.
Liuming YuSuzhou Boyuan Medical Technology Co., Ltd, Suzhou, Jiangsu, China.
Jialin GaoDepartment of Endocrinology and Genetic Metabolism, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Diabetic kidney disease (DKD) is the leading cause of end-stage renal disease. This study aimed to investigate the potential of urinary 11-dehydrothromboxane B2 (U-TXM) as a biomarker for the early detection of DKD. Materials and methods: A total of 690 patients were enrolled, including 422 with diabetes mellitus (DM) and 268 with DKD. Patients with type 1, type 2, and other specific forms of diabetes were consecutively recruited from the Department of Endocrinology, Yijishan Hospital of Wannan Medical College (April-September 2024). U-TXM levels were measured and their clinical relevance to DKD was evaluated using correlation analysis, logistic regression, and receiver operating characteristic (ROC) curve analysis. Results: Urinary U-TXM levels were significantly higher in patients with DKD than in those with DM (median: 1158.05 vs. 960.44 pg/mg Cr; Conclusion: U-TXM shows potential as a biomarker for DKD, particularly in patients at early disease stages. Validation through longitudinal, multicenter, and comparative studies is required to confirm its clinical utility.

Indexed as

Diabetic NephropathiesAdultAgedBiomarkersEarly DiagnosisFemaleHumansMaleMiddle AgedROC CurveBiomarkersdiabetic kidney diseaseearly diagnosisnovel biomarkersurinary 11-dehydrothromboxane B2urinary albumin-to-creatinine ratio

Identifiers

PMID41255535
PMCPMC12620185

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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.