Multi-Omic Analysis Reveals Genetic Determinants and Therapeutic Targets of Chronic Kidney Disease and Kidney Function

被引:2
|
作者
Lu, Yao-Qi [1 ]
Wang, Yirong [1 ]
机构
[1] Soochow Univ, Suzhou Med Coll, Sch Biol & Basic Med Sci, Suzhou 215123, Peoples R China
关键词
chronic kidney disease; kidney function; multi-omic analysis; genomics; transcriptomics; proteomics; drug target; Mendelian randomization; inflammatory proteins; Golgi apparatus-related genes; INJURY; CALCIFICATION; EXPRESSION; PROTECTS; DATABASE; CANCER; LOCI; NRF2; EQTL;
D O I
10.3390/ijms25116033
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页数:26
相关论文
共 50 条
  • [21] MULTI-OMIC ANALYSIS OF A HUMAN KIDNEY ORGANOID MODEL OF HYPOXIC INJURY AND MALADAPTIVE REPAIR
    Nescolarde, Ana Nunez
    Piran, Mehran
    Perlaza-Jimenez, Laura
    Deveson, Deanna
    Nikolic-Paterson, David
    Combes, Alexander N.
    NEPHROLOGY, 2023, 28 : 11 - 12
  • [22] Multi-Omic Analysis Identifies a New Class of Proximal Tubular Cell With Metabolic Alterations in Diabetic Kidney Disease
    Maekawa, Hiroshi
    Zhou, Yalu
    Fain, Margaret E.
    Kaminski, Dorian
    Chandel, Navdeep S.
    Quaggin, Susan E.
    JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2022, 33 (11): : 27 - 27
  • [23] Genetic loci influencing kidney function and chronic kidney disease
    Chambers, John C.
    Zhang, Weihua
    Lord, Graham M.
    van der Harst, Pim
    Lawlor, Debbie A.
    Sehmi, Joban S.
    Gale, Daniel P.
    Wass, Mark N.
    Ahmadi, Kourosh R.
    Bakker, Stephan J. L.
    Beckmann, Jacqui
    Bilo, Henk J. G.
    Bochud, Murielle
    Brown, Morris J.
    Caulfield, Mark J.
    Connell, John M. C.
    Cook, H. Terence
    Cotlarciuc, Ioana
    Smith, George Davey
    de Silva, Ranil
    Deng, Guohong
    Devuyst, Olivier
    Dikkeschei, Lambert D.
    Dimkovic, Nada
    Dockrell, Mark
    Dominiczak, Anna
    Ebrahim, Shah
    Eggermann, Thomas
    Farrall, Martin
    Ferrucci, Luigi
    Floege, Jurgen
    Forouhi, Nita G.
    Gansevoort, Ron T.
    Han, Xijin
    Hedblad, Bo
    van der Heide, Jaap J. Homan
    Hepkema, Bouke G.
    Hernandez-Fuentes, Maria
    Hypponen, Elina
    Johnson, Toby
    de Jong, Paul E.
    Kleefstra, Nanne
    Lagou, Vasiliki
    Lapsley, Marta
    Li, Yun
    Loos, Ruth J. F.
    Luan, Jian'an
    Luttropp, Karin
    Marechal, Celine
    Melander, Olle
    NATURE GENETICS, 2010, 42 (05) : 373 - 375
  • [24] Genetic loci influencing kidney function and chronic kidney disease
    John C Chambers
    Weihua Zhang
    Graham M Lord
    Pim van der Harst
    Debbie A Lawlor
    Joban S Sehmi
    Daniel P Gale
    Mark N Wass
    Kourosh R Ahmadi
    Stephan J L Bakker
    Jacqui Beckmann
    Henk J G Bilo
    Murielle Bochud
    Morris J Brown
    Mark J Caulfield
    John M C Connell
    H Terence Cook
    Ioana Cotlarciuc
    George Davey Smith
    Ranil de Silva
    Guohong Deng
    Olivier Devuyst
    Lambert D Dikkeschei
    Nada Dimkovic
    Mark Dockrell
    Anna Dominiczak
    Shah Ebrahim
    Thomas Eggermann
    Martin Farrall
    Luigi Ferrucci
    Jurgen Floege
    Nita G Forouhi
    Ron T Gansevoort
    Xijin Han
    Bo Hedblad
    Jaap J Homan van der Heide
    Bouke G Hepkema
    Maria Hernandez-Fuentes
    Elina Hypponen
    Toby Johnson
    Paul E de Jong
    Nanne Kleefstra
    Vasiliki Lagou
    Marta Lapsley
    Yun Li
    Ruth J F Loos
    Jian'an Luan
    Karin Luttropp
    Céline Maréchal
    Olle Melander
    Nature Genetics, 2010, 42 : 373 - 375
  • [25] A "Multi-Omic" Analysis of Proteome and Metabolome for Acute Rejection and PVAN in Kidney Transplantation.
    Sigdel, T.
    Yang, J.
    Sarwal, M.
    AMERICAN JOURNAL OF TRANSPLANTATION, 2018, 18 : 831 - 831
  • [26] Multi-omic analysis elucidates the genetic basis of hydrocephalus
    Hale, Andrew T.
    Bastarache, Lisa
    Morales, Diego M.
    Wellons, John C., III
    Limbrick, David D., Jr.
    Gamazon, Eric R.
    CELL REPORTS, 2021, 35 (05):
  • [27] Multi-omic Analysis of Malignant Pleural Mesothelioma PDXs Reveal Pathway Alterations and Therapeutic Targets
    Sen, T.
    JOURNAL OF THORACIC ONCOLOGY, 2022, 17 (09) : S12 - S12
  • [28] Multi-omic approaches unveil new therapeutic targets for the treatment of pancreatic cancer
    Nicolle, Remy
    Blum, Yuna
    Marisa, Laetitia
    Dusetti, Nelson
    Iovanna, Juan
    M S-MEDECINE SCIENCES, 2018, 34 (05): : 379 - 382
  • [29] A Gene Signature of Survival Prediction for Kidney Renal Cell Carcinoma by Multi-Omic Data Analysis
    Hu, Fuyan
    Zeng, Wenying
    Liu, Xiaoping
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2019, 20 (22)
  • [30] Migraine, chronic kidney disease and kidney function: observational and genetic analyses
    Zhang, Wenqiang
    Zhang, Li
    Yang, Luo M.
    Xiao, Chenghan
    Wu, Xueyao
    Yan, Peijing
    Cui, Huijie
    Yang, Chao
    Zhu, Jingwei
    Wu, Xuan
    Tang, Mingshuang R.
    Wang, Yutong
    Chen, Lin
    Liu, Yunjie A.
    Zou, Yanqiu M.
    Zhang, Ling E.
    Yang, Chunxia
    Yao, Yuqin
    Li, Jiayuan
    Liu, Zhenmi S.
    Zhang, Ben
    Jiang, Xia
    HUMAN GENETICS, 2023, 142 (08) : 1185 - 1200