Evidence map›Paper›PMID 40236513›Full record

ArticleClinical kidney journal2025

The spectrum of diseases, genetic landscape and new mutation sites of hereditary cystic kidney disease.

Jingru Bi, Wenkai Guo, Pengcheng Ji, Shuang Li, Peng Wang, Qinggang Li, Yuansheng Xie

Abstract read
In one paragraph

Article in Clinical kidney journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

7 authors.

Jingru BiSchool of Medicine, Nankai University, Tianjin, China.
Wenkai GuoSchool of Medicine, Nankai University, Tianjin, China.
Pengcheng JiDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Preventionand Treatment of Pan-vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (zyyzdxk-2023310), Beijing, China.
Shuang LiDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Preventionand Treatment of Pan-vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (zyyzdxk-2023310), Beijing, China.
Peng WangDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Preventionand Treatment of Pan-vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (zyyzdxk-2023310), Beijing, China.
Qinggang LiDepartment of Nephrology, First Medical Center of Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Medical Devices and Integrated Traditional Chinese and Western Drug Development for Severe Kidney Diseases, Beijing Key Laboratory of Digital Intelligent TCM for the Preventionand Treatment of Pan-vascular Diseases, Key Disciplines of National Administration of Traditional Chinese Medicine (zyyzdxk-2023310), Beijing, China.
Yuansheng XieSchool of Medicine, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cystic kidney disease is common. Beyond autosomal dominant polycystic kidney disease (ADPKD), knowledge of other hereditary forms of cystic kidney disease remains limited. This study aimed to retrospectively analyse 702 patients with multiple renal cysts from the Chinese PLA General Hospital (September 2015-December 2023). Methods: Patients suspected of having hereditary cystic kidney disease underwent next-generation sequencing (NGS) and subsequent bioinformatics analysis. Variations were assessed for pathogenicity in accordance with the American College of Medical Genetics and Genomics (ACMG) guidelines. Moreover, the ClinVar and Mastermind databases were used to identify novel mutation sites. Statistical analysis was performed using SPSS 25.0 software. Results: Of 702 patients, 96 (13.7%) lacked gene mutations associated with cystic kidney disease. In contrast, 606 patients (86.3%) were found to have gene mutations associated with renal cyst phenotypes, involving 23 unique mutated genes. Among these, mutations in 158 patients were categorized as variants of uncertain significance. The remaining 448 patients harboured mutations predicted by the ACMG guidelines to be pathogenic or likely pathogenic, enabling a diagnosis of hereditary cystic kidney disease. These mutations were linked to seven diseases and 10 genes. The most common was ADPKD [434 cases (96.9%)], followed by autosomal dominant tubulointerstitial kidney disease [ADTKD; six cases (1.3%)], autosomal recessive polycystic kidney disease [ARPKD; five cases (1.1%)] and tuberous sclerosis complex [two cases (0.4%)]. One case each was found for autosomal dominant polycystic liver disease, Conclusion: In this study we identified 23 mutated genes linked to renal cyst phenotypes, 10 of which had pathogenic or likely pathogenic variants. These findings facilitated the diagnosis of seven hereditary cystic kidney diseases, including ADPKD, ADTKD, ARPKD and others. Furthermore, 63 novel pathogenic or likely pathogenic variants were identified.

Indexed as

autosomal dominant polycystic liver diseaseautosomal dominant tubulointerstitial kidney diseasehereditary cystic kidney diseasenew mutation sitespolycystic kidney disease

Identifiers

PMID40236513
PMCPMC11997664

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