Document Type

Article

Publication Date

2-1-2026

Comments

This article is the author's final published version in Transplantation Direct, Volume 12, Issue 2, February 2026, Article Number e1882.

The published version is available at https://doi.org/10.1097/TXD.0000000000001882. Copyright © 2026 The Author(s). Transplantation Direct. Published by Wolters Kluwer Health, Inc.

Abstract

Background: Acute cellularrejection (ACR) remains a major cause of morbidity afterhearttransplantation despite advances in immunosuppression. Whole genometranscriptomicprofiling offers a systems-based, unbiased approach to elucidate the molecular mechanisms underlying ACR. However, noninvasive,longitudinal biomarker assessments capable of capturing the temporal dynamics ofrejection biology remain scarce.

Methods: RNA sequencing ofperipheralblood fromheart transplant recipients before, during, and after ACR was compared with nonrejection controls. Pathway analysis was conducted using differentially expressed genes (DEGs), and a machine learning approach was applied to assessgene-based prediction of ACR.

Results: A total of 235 rejection-specific significant DEGs and 863 postrejection DEGs (false discovery rate < 0.05) were identified. During ACR, DEGs were enriched for T-cell activation/differentiation, apoptosis, and B-cell receptor signaling pathways. By combining the 2 sets of DEGs, a panel of 71 common genes was identified that reflected the significant, longitudinal transcriptomic dynamics of ACR. In an elastic net machine learning-based classifier, DYNLL1 and SERF2 were identified as ACR predictive genes, and achieved a cross-validated area under the receiver operating characteristic curve of 0.63.

Conclusions: Peripheralbloodtranscriptomics identify dynamic temporal responses in ACR including T- and B-cell pathways with potential ACR predictive genes that warrant further investigation.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Language

English

PubMed ID

41567756

Included in

Cardiology Commons

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