Distinct immunometabolic signatures in peripheral blood mononuclear cells are linked to systemic inflammation in type 2 diabetes and diabetic kidney disease

Description of the contents of the dataset files: Sample_information.xlsx Excel file containing sample information and its association with RCC raw reading files Raw_counts.xlsx Excel file containing gene counts (raw) for each sample. Genes follow the data structure of the GPL31904 platform of Gene Expression Omnibus (GEO). RCC_files.zip. A zip file including al NanoString RCC files according to the name-sample association described in the Sample_information.xlsx file. Supplementary table 1. Treatment of patients expressed in percentage of patients per group (D= Type 2 diabetes; DKD= Type 2 diabetes and diabetic kidney disease). Supplementary table 2. Number of patients per category according to KDIGO guidelines (C= control, D= Type 2 diabetes; DKD= Type 2 diabetes and diabetic kidney disease). Supplementary table 3. Characteristics of the participants for RT-PCR validation. Supplementary table 4. ROC and AUC analysis. Supplementary table 5. Characteristics of participants for functional validation cohort and co-culture with HEK293 cells. Supplementary table 6. nCounter® Metabolic Pathways Panel Gene List (LBL-10725-01). Supplementary table 7. Primer sequences. Supplementary table 8. R versions. Supplementary table 9. Differential Gene Expression data. Supplementary table 10. GSA Biological Processes. Supplementary table 11. KEGG Pathways.