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Peripheral Blood RNA Sequencing Unravels a Differential Signature of Coding and Noncoding Genes by Types of Kidney Allograft Rejection
- Source :
- Kidney International Reports, Kidney international reports, vol 5, iss 10, Dipòsit Digital de la UB, Universidad de Barcelona, Kidney International Reports, Vol 5, Iss 10, Pp 1706-1721 (2020)
- Publication Year :
- 2020
-
Abstract
- Introduction Peripheral blood (PB) molecular patterns characterizing the different effector immune pathways driving distinct kidney rejection types remain to be fully elucidated. We hypothesized that transcriptome analysis using RNA sequencing (RNAseq) in samples of kidney transplant patients would enable the identification of unique protein-coding and non-coding genes that may be able to segregate different rejection phenotypes. Methods We evaluated 37 biopsy-paired PB samples from the discovery cohort, with stable [STA], antibody-mediated rejection [AMR] and T-cell mediated rejection [TCMR], by RNAseq. Advanced machine learning tools were used to perform three-way differential gene expression analysis to identify gene signatures associated with rejection. Then, we performed functional in silico analysis and validation by Fluidigm in 62 samples from two independent kidney transplant cohorts. Results We found 102 genes (63 coding and 39 non-coding genes) associated with AMR (54 up-regulated), TCMR (23 up-regulated) and STA (25 up-regulated) perfectly clustered with each rejection phenotype and highly correlated with main histological lesions (rho = 0.91). For the genes associated with AMR, we found enrichment in regulation of endoplasmic reticulum stress, adaptive immunity, and immunoglobulin class-switching. In the validation, we found that, the SIGLEC17P pseudogene and 9 SIGLEC17P-related coding genes, were highly expressed among AMR but not in TCMR and STA samples. Conclusion This analysis identifies a critical gene signature in peripheral blood in kidney transplant patients undergoing AMR, sufficient to differentiate them from patients with TCMR and immunologically quiescent kidney allografts. Our findings provide the basis for new studies dissecting the role of non-coding genes in the pathophysiology of kidney allograft rejection and their potential value as non-invasive biomarkers of the rejection process.
- Subjects :
- Kidney Disease
In silico
Pseudogene
030232 urology & nephrology
Trasplantament renal
Renal and urogenital
kidney transplantation
Computational biology
030204 cardiovascular system & hematology
lcsh:RC870-923
Transcriptome
03 medical and health sciences
0302 clinical medicine
Clinical Research
Gene expression
Genetics
Medicine
2.1 Biological and endogenous factors
Aetiology
Gene
Kidney transplantation
Transplantation
screening and diagnosis
business.industry
RNA sequencing
systems biology
Organ Transplantation
T cell-mediated rejection
Gene signature
lcsh:Diseases of the genitourinary system. Urology
medicine.disease
Phenotype
4.1 Discovery and preclinical testing of markers and technologies
Detection
Rebuig (Biologia)
Nephrology
Graft rejection
antibody-mediated rejection
T cell–mediated rejection
business
Subjects
Details
- ISSN :
- 24680249
- Volume :
- 5
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- Kidney international reports
- Accession number :
- edsair.doi.dedup.....dcffb1c8e6ee6ab9f3bb57a9ff0c637a