The causal relationship between plasma protein‐to‐protein ratios and type 2 diabetes and its complications: Proteomics mendelian randomization study

Author:

Zhang Yue‐Yang12345,Chen Bing‐Xue6,Yang Qin12345,Wan Qin12345ORCID

Affiliation:

1. Department of Endocrinology and Metabolism Affiliated Hospital of Southwest Medical University Luzhou China

2. Metabolic Vascular Disease Key Laboratory of Sichuan Province Luzhou China

3. Sichuan Clinical Research Center for Diabetes and Metabolism Luzhou China

4. Sichuan Clinical Research Center for Nephropathy Luzhou China

5. Cardiovascular and Metabolic Diseases Key Laboratory of Luzhou Luzhou China

6. Department of Ultrasound Medicine Affiliated Hospital of Southwest Medical University Luzhou China

Abstract

AbstractAimIn recent years, proteomics research has surged, with numerous observational studies identifying associations between plasma proteins and type 2 diabetes. However, research specifically focusing on the ratios of plasma proteins in type 2 diabetes remains relatively scarce.MethodsThis study primarily employed a two‐sample, two‐step Mendelian randomization (MR) approach, leveraging genetic data from several large, publicly accessible genome‐wide association studies, wherein single nucleotide polymorphisms served as proxies for exposures and diseases. Within this framework, we applied two‐sample MR to assess the associations between the 2821 plasma protein‐to‐protein ratios and type 2 diabetes along with its complications and utilized reverse MR to confirm the unidirectionality of these causal relationships. In addition, we employed two‐step MR to investigate the potential mediating role of body mass index in these associations. To augment the robustness of our findings, we systematically implemented a series of sensitivity analyses.ResultsThe results gleaned from the inverse‐variance weighted method elucidated that a cumulative sum of 23 protein‐to‐protein ratios bore a causal nexus with type 2 diabetes across both sample cohorts. With each incremental elevation of 1 standard deviation in the genetically anticipated protein‐to‐protein ratio, the susceptibility to type 2 diabetes oscillated from 0.93 (95% confidence interval: 0.87, 1.00) for the CNTN3/NCSS1 protein level ratio to 1.13 (1.06, 1.22) for the DBNL/NCK2 protein level ratio. Moreover, a tally of eight protein‐to‐protein ratios correlated with a minimum of one complication linked to type 2 diabetes. Diverse sensitivity analyses corroborated the robustness of these observations.ConclusionsThe outcomes of our investigation unveiled correlations between 23 plasma protein‐to‐protein ratios and type 2 diabetes, with eight of these ratios entwined with complications of type 2 diabetes. These discoveries offer novel perspectives on the diagnosis and management of type 2 diabetes and its associated complications.

Funder

Ministry of Science and Technology of the People's Republic of China

Science and Technology Department of Sichuan Province

Publisher

Wiley

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