Evidence map›Paper›PMID 39799255›Full record

ReviewInternational urology and nephrology2025

Unraveling diabetic kidney disease: insights from single-cell RNA sequencing.

Xiao-Lin Yuan, Bei-Bei Lu, Li Zeng, Ling Zhong

Abstract readReview
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In one paragraph

Review in International urology and 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.

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

4 authors.

Xiao-Lin Yuan *Department of Nephrology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
Bei-Bei LuDepartment of Nephrology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
Li ZengDepartment of Nephrology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China.
Ling ZhongDepartment of Nephrology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China. zhongling@hospital.cqmu.edu.cn.

Funding

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China 82200829
6 · The paper itself

Abstract

The incidence of diabetic kidney disease (DKD) is rising annually. Diabetes leads to structural damage and dysfunction in the kidneys, clinically manifesting as progressive proteinuria and declining renal function, ultimately resulting in end-stage renal disease (ESRD). Recent findings have identified a subset of DKD known as normoalbuminuric diabetic kidney disease (NADKD), characterized by normal urine albumin levels but reduced renal function. These complex clinical presentations and underlying pathophysiology challenge traditional diagnostic and treatment approaches. Single-cell RNA sequencing (scRNA-seq), a novel experimental technique, is employed to analyze gene expression in renal tissue, blood, and urine from DKD patients, enhancing our understanding of tissue function, cellular interactions, and disease progression. This approach facilitates early screening and personalized management of DKD.

Indexed as

Diabetic NephropathiesSequence Analysis, RNASingle-Cell AnalysisHumansDiabetic nephropathyEnd-stage renal diseasePathological characteristicsSingle-cell RNA sequencing

Identifiers

PMID39799255

What OpenQuestion 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 OpenQuestion graph.