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Series GSE262742 Query DataSets for GSE262742
Status Public on Apr 02, 2024
Title Redefining the molecular rejection states in 3230 heart transplant biopsies: relationships to parenchymal injury and graft survival
Organism Homo sapiens
Experiment type Expression profiling by array
Summary The first-generation Molecular Microscope® (MMDx) system for heart transplant endomyocardial biopsies used expression of rejection-associated transcripts (RATs) to diagnose T cell-mediated rejection (TCMR) and antibody-mediated rejection (ABMR) but also detected acute injury. However, the ideal system should detect rejection without being influenced by injury, to permit analysis of the relationship between rejection and parenchymal injury. To achieve this, we developed a new rejection classification in an expanded cohort of 3230 biopsies: 1641 from INTERHEART (ClinicalTrials.gov #NCT02670408), plus 1589 service biopsies added to improve the power of the machine learning algorithms. The new system used six rejection classifiers instead of RATs and generated seven rejection archetypes: No Rejection 48%; Minor 24%; TCMR1 2.3%; TCMR2 2.7%; TCMR/Mixed 2.7%; EABMR 3.9%; and FABMR 16%. Using rejection classifiers eliminated cross-reactions with acute injury, permitting separate assessment of rejection and injury. TCMR was associated with severe recent injury and late atrophy-fibrosis and rarely had normal parenchyma. ABMR was better tolerated, seldom producing severe injury, but in later biopsies was often associated with atrophy-fibrosis, indicating long term risk. Graft survival and LVEF were reduced in hearts with TCMR, but also in hearts with severe-recent injury and atrophy-fibrosis, even without rejection.
 
Overall design We developed a new rejection classification in an expanded cohort of 3230 biopsies: 1641 from INTERHEART (ClinicalTrials.gov #NCT02670408), plus 1589 service biopsies added to improve the power of the machine learning algorithms.
Web link https://www.sciencedirect.com/science/article/pii/S1600613524002417?via%3Dihub
 
Contributor(s) Chang J
Citation(s) 38527588
Submission date Mar 28, 2024
Last update date Jul 02, 2024
Contact name Jessica Chang
E-mail(s) jjchang@ualberta.ca
Organization name University of Alberta
Department Medicine
Lab ATAGC
Street address 250 Heritage Medical Research Centre
City Edmonton
ZIP/Postal code T6G 2S2
Country Canada
 
Platforms (1)
GPL16043 GeneChip® PrimeView™ Human Gene Expression Array (with External spike-in RNAs)
Samples (3230)
GSM8174740 heart biopsy: 1590
GSM8174741 heart biopsy: 1591
GSM8174742 heart biopsy: 1592
Relations
BioProject PRJNA1093116

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE262742_RAW.tar 6.4 Gb (http)(custom) TAR (of CEL)
GSE262742_log2_RMA_signal.txt.gz 208.7 Mb (ftp)(http) TXT

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