Yang Li, Yan Zhao, Rou Shi, Yan Li, Yunyun Chen, Zhu Zhou, Huifang Li
{"title":"2型糖尿病SD大鼠伴糖尿病肾病肾周脂肪组织潜在ceRNA调控网络的全转录组学鉴定和表征","authors":"Yang Li, Yan Zhao, Rou Shi, Yan Li, Yunyun Chen, Zhu Zhou, Huifang Li","doi":"10.1002/bab.70005","DOIUrl":null,"url":null,"abstract":"<p><p>This study induced diabetic nephropathy (DN) in rats, analyzing perirenal adipose tissue (PRAT) via whole transcriptome sequencing to identify key mRNAs in DN pathogenesis. Type-2 diabetes was induced in SD rats, evaluating metabolic and renal indicators. Whole transcriptome sequencing identified differentially expressed RNAs in PRAT. CeRNA networks, PPI networks, and ingenuity pathway analysis (IPA) revealed key mRNAs linked to physiological indicators in DN. This study explores correlations between mRNAs and health parameters, shedding light on the complex interplay in type-2-diabetes mellitus (T2DM)-induced nephropathy. SD rats with type-2 diabetes exhibited insulin resistance, elevated blood glucose, disrupted lipid metabolism, and renal dysfunction. PRAT weight was higher in T2DM rats, and immunohistochemistry revealed distinct renal injury. Transcriptome sequencing identified 476 DE-mRNAs, 79 DE-miRNAs, 200 DE-lncRNAs, and 10 DE-circRNAs. The lncRNA-miRNA-mRNA network comprised 159 lncRNAs, 62 miRNAs, and 138 mRNAs, whereas the circRNA-miRNA-mRNA network included 76 mRNAs, 27 miRNAs, and 10 circRNAs. Key mRNAs (Lpl, Elovl6, Dgat2, Acaca, and Acly) were associated with 10 classical pathways according to IPA. Notably, all key mRNAs showed a negative correlation with blood urea nitrogen (BUN), serum creatinine, proteinuria, LDL-C, triglycerides (TG), and total cholesterol (TC), and a positive correlation with urine creatinine and HDL-C. Our study successfully established a T2DM model in SD rats and identified five key mRNAs, elucidating the role of PRAT in DN. These findings lay a scientific foundation for future investigations into DN.</p>","PeriodicalId":9274,"journal":{"name":"Biotechnology and applied biochemistry","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Whole Transcriptomic Identification and Characterization of Potential ceRNA Regulatory Networks in Perirenal Adipose Tissue of Type-2-Diabetic Mellitus SD Rats With Diabetic Nephropathy.\",\"authors\":\"Yang Li, Yan Zhao, Rou Shi, Yan Li, Yunyun Chen, Zhu Zhou, Huifang Li\",\"doi\":\"10.1002/bab.70005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study induced diabetic nephropathy (DN) in rats, analyzing perirenal adipose tissue (PRAT) via whole transcriptome sequencing to identify key mRNAs in DN pathogenesis. Type-2 diabetes was induced in SD rats, evaluating metabolic and renal indicators. Whole transcriptome sequencing identified differentially expressed RNAs in PRAT. CeRNA networks, PPI networks, and ingenuity pathway analysis (IPA) revealed key mRNAs linked to physiological indicators in DN. This study explores correlations between mRNAs and health parameters, shedding light on the complex interplay in type-2-diabetes mellitus (T2DM)-induced nephropathy. SD rats with type-2 diabetes exhibited insulin resistance, elevated blood glucose, disrupted lipid metabolism, and renal dysfunction. PRAT weight was higher in T2DM rats, and immunohistochemistry revealed distinct renal injury. Transcriptome sequencing identified 476 DE-mRNAs, 79 DE-miRNAs, 200 DE-lncRNAs, and 10 DE-circRNAs. The lncRNA-miRNA-mRNA network comprised 159 lncRNAs, 62 miRNAs, and 138 mRNAs, whereas the circRNA-miRNA-mRNA network included 76 mRNAs, 27 miRNAs, and 10 circRNAs. Key mRNAs (Lpl, Elovl6, Dgat2, Acaca, and Acly) were associated with 10 classical pathways according to IPA. Notably, all key mRNAs showed a negative correlation with blood urea nitrogen (BUN), serum creatinine, proteinuria, LDL-C, triglycerides (TG), and total cholesterol (TC), and a positive correlation with urine creatinine and HDL-C. Our study successfully established a T2DM model in SD rats and identified five key mRNAs, elucidating the role of PRAT in DN. These findings lay a scientific foundation for future investigations into DN.</p>\",\"PeriodicalId\":9274,\"journal\":{\"name\":\"Biotechnology and applied biochemistry\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biotechnology and applied biochemistry\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1002/bab.70005\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biotechnology and applied biochemistry","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/bab.70005","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Whole Transcriptomic Identification and Characterization of Potential ceRNA Regulatory Networks in Perirenal Adipose Tissue of Type-2-Diabetic Mellitus SD Rats With Diabetic Nephropathy.
This study induced diabetic nephropathy (DN) in rats, analyzing perirenal adipose tissue (PRAT) via whole transcriptome sequencing to identify key mRNAs in DN pathogenesis. Type-2 diabetes was induced in SD rats, evaluating metabolic and renal indicators. Whole transcriptome sequencing identified differentially expressed RNAs in PRAT. CeRNA networks, PPI networks, and ingenuity pathway analysis (IPA) revealed key mRNAs linked to physiological indicators in DN. This study explores correlations between mRNAs and health parameters, shedding light on the complex interplay in type-2-diabetes mellitus (T2DM)-induced nephropathy. SD rats with type-2 diabetes exhibited insulin resistance, elevated blood glucose, disrupted lipid metabolism, and renal dysfunction. PRAT weight was higher in T2DM rats, and immunohistochemistry revealed distinct renal injury. Transcriptome sequencing identified 476 DE-mRNAs, 79 DE-miRNAs, 200 DE-lncRNAs, and 10 DE-circRNAs. The lncRNA-miRNA-mRNA network comprised 159 lncRNAs, 62 miRNAs, and 138 mRNAs, whereas the circRNA-miRNA-mRNA network included 76 mRNAs, 27 miRNAs, and 10 circRNAs. Key mRNAs (Lpl, Elovl6, Dgat2, Acaca, and Acly) were associated with 10 classical pathways according to IPA. Notably, all key mRNAs showed a negative correlation with blood urea nitrogen (BUN), serum creatinine, proteinuria, LDL-C, triglycerides (TG), and total cholesterol (TC), and a positive correlation with urine creatinine and HDL-C. Our study successfully established a T2DM model in SD rats and identified five key mRNAs, elucidating the role of PRAT in DN. These findings lay a scientific foundation for future investigations into DN.
期刊介绍:
Published since 1979, Biotechnology and Applied Biochemistry is dedicated to the rapid publication of high quality, significant research at the interface between life sciences and their technological exploitation.
The Editors will consider papers for publication based on their novelty and impact as well as their contribution to the advancement of medical biotechnology and industrial biotechnology, covering cutting-edge research in synthetic biology, systems biology, metabolic engineering, bioengineering, biomaterials, biosensing, and nano-biotechnology.