Evidence map›Paper›PMID 36932340›Full record

ArticleBMC genomics2023

Proteomics and transcriptomics profiling reveals distinct aspects of kidney stone related genes in calculi rats.

Wang Zhu, Deng Qiong, Gu Yanli, Li Min, Zhang Ying, Hu Qiyi, Zhang Shenping, Wang Xisheng, Liang Hui

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Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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0cells of the map it votes in
10citing 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Wang Zhu *Department of Urology, People's Hospital of Longhua Shenzhen, Southern Medical University, 38 Jinglong Jianshe Road, Shenzhen, Guangdong, 518109, People's Republic of China.
Deng Qiong *Department of Urology, People's Hospital of Longhua Shenzhen, Southern Medical University, 38 Jinglong Jianshe Road, Shenzhen, Guangdong, 518109, People's Republic of China.
Gu YanliCentral Laboratory, People's Hospital of Longhua Shenzhen, Southern Medical University, Shenzhen, Guangdong, 518109, People's Republic of China.
Li MinDepartment of Pathology, People's Hospital of Longhua Shenzhen, Southern Medical University, Shenzhen, Guangdong, 518109, People's Republic of China.
Zhang YingDepartment of Urology, People's Hospital of Longhua Shenzhen, Southern Medical University, 38 Jinglong Jianshe Road, Shenzhen, Guangdong, 518109, People's Republic of China.
Hu QiyiDepartment of Urology, People's Hospital of Longhua Shenzhen, Southern Medical University, 38 Jinglong Jianshe Road, Shenzhen, Guangdong, 518109, People's Republic of China.
Zhang ShenpingDepartment of Urology, People's Hospital of Longhua Shenzhen, Southern Medical University, 38 Jinglong Jianshe Road, Shenzhen, Guangdong, 518109, People's Republic of China.
Wang XishengDepartment of Urology, People's Hospital of Longhua Shenzhen, Southern Medical University, 38 Jinglong Jianshe Road, Shenzhen, Guangdong, 518109, People's Republic of China. 18923877315@163.com.
Liang HuiDepartment of Urology, People's Hospital of Longhua Shenzhen, Southern Medical University, 38 Jinglong Jianshe Road, Shenzhen, Guangdong, 518109, People's Republic of China. lianghui8689@smu.edu.cn.

Funding

Scientific Research Projects of Medical and Health Institutions of Longhua Shenzhen LHKJCXJCYJ202002, 2020003 and 2020013Shenzhen Fundamental Research Program JCYJ20210324131414039
6 · The paper itself

Abstract

backgroundsKidney stone also known as urolithiasis or nephrolithiasis, is one of the oldest diseases known to medicine, however, the gene expression changes and related kidney injury remains unclear.

methodsA calculi rat model was developed via ethylene glycol- and ammonium chloride-induction. Integrated proteomic and transcriptomic analysis was performed to characterize the distinct gene expression profiles in the kidney of calculi rat. Differential expressed genes (DEGs) were sub-clustered into distinct groups according to the consistency of transcriptome and proteome. Gene Ontology and KEGG pathway enrichment was performed to analyze the functions of each sub-group of DEGs. Immunohistochemistry was performed to validated the expression of identified proteins.

resultsFive thousand eight hundred ninety-seven genes were quantified at both transcriptome and proteome levels, and six distinct gene clusters were identified, of which 14 genes were consistently dysregulated. Functional enrichment analysis showed that the calculi rat kidney was increased expression of injured & apoptotic markers and immune-molecules, and decreased expression of solute carriers & transporters and many metabolic related factors.

conclusionsThe present proteotranscriptomic study provided a data resource and new insights for better understanding of the pathogenesis of nephrolithiasis, will hopefully facilitate the future development of new strategies for the recurrence prevention and treatment in patients with kidney stone disease.

Indexed as

Kidney CalculiTranscriptomeAnimalsKidneyProteomeProteomicsRatsProteomeCalcium oxalateKidney stoneProteomicsTranscriptomicsUrolithiasis

Identifiers

PMID36932340
PMCPMC10024419

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