Clinical and Translational Research
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Diabetes. Oct 15, 2024; 15(10): 2093-2110
Published online Oct 15, 2024. doi: 10.4239/wjd.v15.i10.2093
Identification of immune feature genes and intercellular profiles in diabetic cardiomyopathy
Ze-Qun Zheng, Di-Hui Cai, Yong-Fei Song
Ze-Qun Zheng, Di-Hui Cai, Yong-Fei Song, Ningbo Institute of Innovation for Combined Medicine and Engineering, The Affiliated Lihuili Hospital of Ningbo University, Ningbo 315040, Zhejiang Province, China
Ze-Qun Zheng, Department of Cardiology, Clinical Research Center, Shantou University Medical College, Shantou 515041, Guangdong Province, China
Author contributions: Song YF proposed and designed the study and revised the manuscript; Zheng ZQ and Cai DH performed the research, analyzed the data and wrote the manuscript. All authors read and approved the final manuscript.
Supported by National Natural Science Foundation of China, No. 82300347; Natural Science Foundation of Ningbo, No. 2021J296; and Science Foundation of Lihuili Hospital, No. 2022ZD004.
Conflict-of-interest statement: The authors declare that they have no competing interests.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Yong-Fei Song, MD, Assistant Professor, Researcher, Ningbo Institute of Innovation for Combined Medicine and Engineering, The Affiliated Lihuili Hospital of Ningbo University, No. 378 Dongqing Road, Yinzhou District, Ningbo 315040, Zhejiang Province, China. songyongfei1@gmail.com
Received: December 19, 2023
Revised: May 9, 2024
Accepted: September 2, 2024
Published online: October 15, 2024
Processing time: 282 Days and 7.4 Hours
Core Tip

Core Tip: In this study, we utilized bulk RNA sequencing (RNA-seq) data and machine learning techniques to identify and validate four immune feature genes associated with diabetic cardiomyopathy (DCM). Notably, retinol binding protein 7 and proenkephalin showed significantly elevated expression in cardiomyocytes and interstitial cells in DCM, as confirmed by single-cell RNA-seq and molecular experiments, highlighting their robust diagnostic potential. Furthermore, single-cell RNA-seq data revealed abnormal cellular phenotype transformations and communications in DCM, particularly between fibroblasts and macrophages.