همایش ملی بیوانفورماتیک ایران

صفحه اصلی / 4th international edition and 13th Iranian Conference on Bioinformatics

Diabetes nephropathy indicators for early diagnosis

نویسندگان :

Sedigheh Momenzadeh¹ Masumeh Jalalvand² Reza Nedaeinia³

1- Department of Medical Biotechnology, School of Paramedicine, Bushehr University of Medical Sciences, Bushehr, Iran 2- Department of Biotechnology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad 3- Pediatric Inherited Diseases Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran

کلمات کلیدی :

Diabetes،Nephropathy،Complication،RNAseq data

چکیده :

Introduction Diabetes Mellitus (DM) is marked by excessive blood glucose levels. Diabetes nephropathy is usually first manifested as an increase in urinary albumin excretion. Diabetic nephropathy (DN) is the most common diabetes complication, and renal failure is one important the morbidity and mortality of affected patients. Clinically significant morbidity may often develop before diagnosis, and early diagnosis provides the opportunity for more precise medical care and disease management. Unraveling the mainstay events could support the early diagnosis. Method To achieve this, we followed the approach of RNAseq data analysis using the Geo dataset, GSE154881. We compared the healthy control, diabetes, and nephropathy groups. Differentially expressed genes were determined, and a Venn diagram of the DEGs was made between the two groups. Gene set enrichment analysis was performed using EnrichR to reveal the related pathways. Results As it is inferred from the Shared gene between nephropathy and diabetes, the immune system and its components, including the innate and adaptive immune system, JAK/STAT Signaling, interferon signaling, neutrophil degranulation, complement activation, and also metabolic dysregulations interplay both diabetes and nephropathy manifestations. Nephropathy-specific DEGs are involved in the pathway, such as erythrocytes taking up oxygen and releasing carbon dioxide, iron uptake and transport, heme biosynthesis, cell cycle checkpoint and gene expression events, and pentose phosphate pathway. Conclusion The most important underlying event in diabetes is immune system mediation, which is highlighted in nephropathy, as well. The more specific pathways for nephropathy are related to the erythrocytes' function and heme biosynthesis. It indicates the potential role of erythrocytes in the pathological development of diabetic complications. So detecting corresponding indicators of erythrocytes and the molecular driver events can explain the occurrence and progression of nephropathy.