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Jiaqiong Lin,1,2 Yan Lin,3 Xiaoyong Li,4 Fei He,5 Qinyuan Gao,3 Yuanjun Wang,3 Zena Huang,3 Fu Xiong5,6 1Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510282, People’s Republic of China; 2Dongguan Maternal and Child Health Care Hospital, Postdoctoral Innovation Practice Base of Southern Medical University, Dongguan, People’s Republic of China; 3Yunkang School of Medicine and Health, Nanfang College, Guangzhou, People’s Republic of China; 4General Surgery Department; Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China; 5Department of Medical Genetics/Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, People’s Republic of China; 6Department of Fetal Medicine and Prenatal Diagnosis, Zhujiang Hospital, Southern Medical University, Guangzhou, People’s Republic of ChinaCorrespondence: Fu Xiong, Department of Medical Genetics/Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, People’s Republic of China, Email xiongfu@smu.edu.cn Zena Huang, Yunkang School of Medicine and Health, Nanfang College, Guangzhou, 510970, People’s Republic of China, Email 506647168@qq.comBackground: Diabetic kidney disease (DKD) is an intricate complication of diabetes with limited treatment options. Anoikis, a programmed cell death activated by loss of cell anchorage to the extracellular matrix, participated in various physiological and pathological processes. Our study aimed to elucidate the role of anoikis-related genes in DKD pathogenesis.Methods: Differentially expressed genes (DEGs) associated with anoikis in DKD were identified. Weighted gene co-expres

Jiaqiong Lin,1 Xiaoyong Li,2 Yan Lin,3 Zena Huang,3 Fei He,4 Fu Xiong4,5 1Dongguan Maternal and Child Health Care Hospital, Postdoctoral Innovation Practice Base of Southern Medical University, Dongguan, People’s Republic of China; 2General Surgery Department; Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China; 3Yunkang School of Medicine and Health, Nanfang College, Guangzhou, People’s Republic of China; 4Department of Medical Genetics/Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, People’s Republic of China; 5Department of Fetal Medicine and Prenatal Diagnosis, Zhujiang Hospital, Southern Medical University, Guangzhou, People’s Republic of ChinaCorrespondence: Fu Xiong, Department of Medical Genetics/Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, People’s Republic of China, Email xiongfu@smu.edu.cnBackground: Diabetic nephropathy (DN) is one of the primary causes of end-stage renal disease, yet effective therapeutic targets remain elusive. This study aims to identify novel diagnostic biomarkers and potential therapeutic candidates for DN.Methods: Differentially expressed genes (DEGs) in GSE96804 and GSE142025 were identified and functional enrichment analysis was performed. Diagnostic biomarkers were selected using machine learning algorithms and evaluated by Receiver Operating Characteristic analysis. c-Fos expression was validated in an established DN mouse model. Immune infiltration levels were assessed with Single-Sample Gene Set Enrichment Analysis. Co-expression analysis revealed regulatory relationships involving FOS. cMAP predicted potential therapeutic candidates. Transcriptome sequencing and exp

Yan Lin,1,2,* Gaofeng Zhu,3,* Xiaoyong Li,4,* Huaxiao Yu,5 Yuhang Luo,5 Jiaqiong Lin,6 Renyuan Li,7 Zena Huang2 1Department of Nephrology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China; 2Yunkang School of Medicine and Health, Nanfang College, Guangzhou, People’s Republic of China; 3Department of General Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People’s Republic of China; 4Department of General Surgery, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China; 5The Third Clinical School, Guangzhou Medical University, Guangzhou, People’s Republic of China; 6Affiliated Dongguan Maternal and Child Healthcare Hospital, Southern Medical University, Guangzhou, People’s Republic of China; 7Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zena Huang, Yunkang School of Medicine and Health, Nanfang College, Guangzhou, People’s Republic of China, Tel +86-13570466614, Email huangzn@nfu.edu.cn Renyuan Li, Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China, Tel +86-18926146852, Email lirenyuan@gzhmu.edu.cnBackground: Icariin presents protective effect in several kidney diseases. However, the role of icariin in contrast-induced acute kidney injury (CIAKI) is still unclear. This study aimed to investigate the effect of icariin in CIAKI, as well as exploring the underlying mechanism from the aspect of interaction between protein-coding genes and non-coding RNAs.Methods: The effect of icariin was evaluated in both in vivo and in vitro CIAKI models. Rat kidneys were collected for genome-wide sequencing. The differentially expressed