Quantitative Data-Independent Acquisition Mass Spectrometry Proteomics and Weighted Correlation Network Analysis of Plasma Samples for the Discovery of Chronic Kidney Disease-Specific Atherosclerosis Risk Factors-Reference-Cited by-同舟云学术

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Quantitative Data-Independent Acquisition Mass Spectrometry Proteomics and Weighted Correlation Network Analysis of Plasma Samples for the Discovery of Chronic Kidney Disease-Specific Atherosclerosis Risk Factors

Published:2022-11-01 Issue:11 Volume:41 Page:966-980
ISSN:1044-5498
Container-title:DNA and Cell Biology
language:en
Short-container-title:DNA and Cell Biology

Author:

Dai Daopeng¹,Cheng Zhiwei²,Feng Shuo¹,Zhu Zhengbin¹,Yu Jiwei¹,Zhang Wenli¹,Lu Hui²,Zhang Ruiyan¹,Zhu Jinzhou¹^ORCID

Affiliation:

1. Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

2. Department of Bioinformatics and Biostatistics, SJTU-Yale Joint Center for Biostatistics and Data Science, College of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.

Publisher

Mary Ann Liebert Inc

Subject

Cell Biology,Genetics,Molecular Biology,General Medicine

Link

https://www.liebertpub.com/doi/pdf/10.1089/dna.2022.0200

Reference90 articles.

1. Retinol Binding Protein-4 Is Associated with TNF-αand Not Insulin Resistance in Subjects with Type 2 Diabetes Mellitus and Coronary Heart Disease

2. Pathophysiology Underlying Accelerated Atherogenesis in Renal Disease: Closing in on the Target

3. Relation between Renal Dysfunction and Cardiovascular Outcomes after Myocardial Infarction

4. Recognized and Potentially New Biomarkers—Their Role in Diagnosis and Prognosis of Cardiovascular Disease

5. Chronic Kidney Disease as a Coronary Artery Disease Risk Equivalent

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