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Multi-Omic Analysis Reveals Genetic Determinants and Therapeutic Targets of Chronic Kidney Disease and Kidney Function.
Lu, Yao-Qi; Wang, Yirong.
Afiliação
  • Lu YQ; School of Biology & Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou 215123, China.
  • Wang Y; School of Biology & Basic Medical Sciences, Suzhou Medical College of Soochow University, Suzhou 215123, China.
Int J Mol Sci ; 25(11)2024 May 30.
Article em En | MEDLINE | ID: mdl-38892221
ABSTRACT
Chronic kidney disease (CKD) presents a significant global health challenge, characterized by complex pathophysiology. This study utilized a multi-omic approach, integrating genomic data from the CKDGen consortium alongside transcriptomic, metabolomic, and proteomic data to elucidate the genetic underpinnings and identify therapeutic targets for CKD and kidney function. We employed a range of analytical methods including cross-tissue transcriptome-wide association studies (TWASs), Mendelian randomization (MR), summary-based MR (SMR), and molecular docking. These analyses collectively identified 146 cross-tissue genetic associations with CKD and kidney function. Key Golgi apparatus-related genes (GARGs) and 41 potential drug targets were highlighted, with MAP3K11 emerging as a significant gene from the TWAS and MR data, underscoring its potential as a therapeutic target. Capsaicin displayed promising drug-target interactions in molecular docking analyses. Additionally, metabolome- and proteome-wide MR (PWMR) analyses revealed 33 unique metabolites and critical inflammatory proteins such as FGF5 that are significantly linked to and colocalized with CKD and kidney function. These insights deepen our understanding of CKD pathogenesis and highlight novel targets for treatment and prevention.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica / Simulação de Acoplamento Molecular Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Insuficiência Renal Crônica / Simulação de Acoplamento Molecular Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article