Genome Biology

, 5:P9 | Cite as

Gene expression profiles of peripheral blood cells in type 2 diabetes and nephropathy in Asian Indians

Deposited research article



Asian Indians with type 2 diabetes mellitus (T2D) have higher susceptibility to diabetic nephropathy (T2DN), the leading cause of end-stage renal disease and morbidity in diabetes. Peripheral blood cells (PBCs) play an important role in diabetes, yet very little is known about the molecular mechanisms of PBCs regulated in insulin homeostasis. In this study we explored the global gene expression changes in PBCs in diabetes and diabetic nephropathy to identify the potential candidate genes and molecular networks regulated in diabetes and nephropathy.


Gene expression profiling of mRNA from PBCs from 6 diabetics with nephropathy (T2DN), 6 diabetics without nephropathy (T2D) and 6 non-diabetic subjects (C), using 13,824 human sequence verified cDNA clones revealed significant differential expression of 420 genes. Hierarchical clustering of significant genes revealed distinct gene expression signatures for diabetes and diabetic nephropathy. Functional categories distinctly regulated in T2D vs. T2DN included, cell growth and maintenance (27 vs. 7%), enzymes (10 vs. 7%) and protein synthesis (13 vs. 18%). Pathway analysis of genes in glucose and fat metabolism were unremarkable, in contrast proteasome pathway involved in protein degradation is significantly regulated in T2D vs. T2DN.


Gene expression changes in PBCs could distinguish variable diabetic states. The data provides the opportunity to explore cellular processes in PBCs that may play a role in insulin homeostasis and insulin resistance that are distinct from target tissue such as skeletal muscle and pancreas. Identification of candidate genes in peripheral blood could provide easily accessible biomarkers to monitor diabetic nephropathy.


Gene Expression Profile Diabetic Nephropathy Additional Data File Gene Expression Change Global Gene Expression 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Additional data files

Additional data files 1,2,3,4,5,6,7,8 and 9.

Supplementary material

13059_2004_915_MOESM1_ESM.doc (348 kb)
Additional data file 1: Additional data file 1 (DOC 348 KB)
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Additional data file 2: Additional data file 2 (DOC 81 KB)
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Additional data file 3: Additional data file 3 (DOC 49 KB)
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Additional data file 4: Additional data file 4 (DOC 284 KB)
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Additional data file 5: Additional data file 5 (DOC 46 KB)
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Additional data file 6: Additional data file 6 (DOC 30 KB)
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Additional data file 7: Additional data file 7 (DOC 28 KB)
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Additional data file 8: Additional data file 8 (DOC 52 KB)
13059_2004_915_MOESM9_ESM.doc (831 kb)
Additional data file 9: Additional data file 9 (DOC 831 KB)

Copyright information

© BioMed Central Ltd 2004

Authors and Affiliations

  • Paturi V Rao
    • 1
  • Xinfang Lu
    • 2
  • Patrick Pattee
    • 2
  • Mark Turner
    • 2
  • Nandgaonkar Suguna
    • 1
  • Srinivasa R Nagalla
    • 2
  1. 1.Department of Endocrinology and MetabolismNizam's Institute of Medical SciencesHyderabadIndia
  2. 2.Center for Biomarker Discovery, Clinical Genomics & Proteomics Program, Department of PediatricsOregon Health and Science UniversityPortlandUSA

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