Autophagy activation in peripheral blood mononuclear cells of peritoneal dialysis patients

IntroductionThe complete systemic deregulated biological network in peritoneal dialysis (PD) patients is still only partially defined. High-throughput/omics techniques may offer the possibility to analyze main fingerprints associated with this clinical condition.MethodsWe applied an innovative bioinformatic analysis of gene-expression microarray data (mainly based on support vector machine learning) compare transcriptomic profile peripheral blood mononuclear cells (PBMCs) healthy subjects (HS), chronic kidney disease (CKD) patients, and PD divided into a group (5 HS, 9 CKD 10 PD) validation (10 15 PD). Classical well-standardized biomolecular approaches (western blotting flow cytometry) were used validate results.ResultsBioinformatics revealed distinctive PBMCs profiling for versus HS (n: 419 genes). Transcripts encoding key elements autophagic pathway significantly up-regulated PD, autophagy-related 5 (ATG5) reached top level discrimination (-Log10 p.value=11.3, VIP score=4.8, SVM rank:1). Protein levels ATG5 microtubule protein 1 light chain 3 beta (LC3B), important constituent autophagosome, validated results. Additionally, incubation serum upregulated both proteins. Autophagy from was attenuated by N-acetyl-cysteine or Resatorvid treatment.ConclusionsOur demonstrated, first time, that autophagy activated immune-cells represent novel therapeutic target.