Circulating microRNAs in cellular and antibody-mediated heart transplant rejection. (Record no. 376)

MARC details
000 -LEADER
fixed length control field 04130nam a22003737a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220926s20222022 xxu||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1053-2498
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 10.1016/j.healun.2022.06.019 [doi]
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code S1053-2498(22)02018-6 [pii]
040 ## - CATALOGING SOURCE
Original cataloging agency Ovid MEDLINE(R)
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
PMID 35872109
245 ## - TITLE STATEMENT
Title Circulating microRNAs in cellular and antibody-mediated heart transplant rejection.
251 ## - Source
Source Journal of Heart & Lung Transplantation. 2022 Jun 28
252 ## - Abbreviated Source
Abbreviated source J Heart Lung Transplant. 2022 Jun 28
253 ## - Journal Name
Journal name The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Year 2022
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Manufacturer FY2022
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Publication date 2022 Jun 28
265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE]
Publication status aheadofprint
266 ## - Date added to catalog
Date added to catalog 2022-09-26
501 ## - WITH NOTE
Local holdings Available online from MWHC library: 1999 - present, Available in print through MWHC library:1999-2007
520 ## - SUMMARY, ETC.
Abstract BACKGROUND: Noninvasive monitoring of heart allograft health is important to improve clinical outcomes. MicroRNAs (miRs) are promising biomarkers of cardiovascular disease and limited studies suggest they can be used to noninvasively diagnose acute heart transplant rejection.
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Abstract CONCLUSIONS: We identified novel miRs that had excellent performance to noninvasively diagnose acute rejection after heart transplantation. Once rigorously validated, the unique clinical ACR and AMR scores usher in an era whereby genomic biomarkers can be used to screen and diagnose the subtype of rejection. These novel biomarkers may potentially alleviate the need for an endomyocardial biopsy while facilitating the initiation of targeted therapy based on the noninvasive diagnosis of ACR or AMR. Copyright © 2022 International Society for Heart and Lung Transplantation. All rights reserved.
520 ## - SUMMARY, ETC.
Abstract METHODS: The Genomic Research Alliance for Transplantation (GRAfT) is a multicenter prospective cohort study that phenotyped heart transplant patients from 5 mid-Atlantic centers. Patients who had no history of rejection after transplant were compared to patients with acute cellular rejection (ACR) or antibody-mediated rejection (AMR). Small RNA sequencing was performed on plasma samples collected at the time of an endomyocardial biopsy. Differential miR expression was performed with adjustment for clinical covariates. Regression was used to develop miR panels with high diagnostic accuracy for ACR and AMR. These panels were then validated in independent samples from GRAfT and Stanford University. Receiver operating characteristic curves were generated and area under the curve (AUC) statistics calculated. Distinct ACR and AMR clinical scores were developed to translate miR expression data for clinical use.
520 ## - SUMMARY, ETC.
Abstract RESULTS: The GRAfT cohort had a median age of 52 years, with 35% females and 45% Black patients. Between GRAfT and Stanford, we included 157 heart transplant patients: 108 controls and 49 with rejection (50 ACR and 38 AMR episodes). After differential miR expression and regression analysis, we identified 12 miRs that accurately discriminate ACR and 17 miRs in AMR. Independent validation of the miR panels within GRAfT led to an ACR AUC 0.92 (95% confidence interval [CI]: 0.86-0.98) and AMR AUC 0.82 (95% CI: 0.74-0.90). The externally validated ACR AUC was 0.72 (95% CI: 0.59-0.82). We developed distinct ACR and AMR miR clinical scores (range 0-100), a score >= 65, identified ACR with 86% sensitivity, 76% specificity, and 98% negative predictive value, for AMR score performance was 82%, 84% and 97%, respectively.
546 ## - LANGUAGE NOTE
Language note English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element IN PROCESS -- NOT YET INDEXED
651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME
Institution MedStar Heart & Vascular Institute
657 ## - INDEX TERM--FUNCTION
Medline publication type Journal Article
700 ## - ADDED ENTRY--PERSONAL NAME
Local Authors Najjar, Samer S
790 ## - Authors
All authors Agbor-Enoh S, Bagchi P, Berry GJ, deFilippi CR, Diao G, Feller E, GRAfT Investigators, Hsu S, Jang MK, Khush KK, Lewsey SC, Marboe C, Mercado A, Morales DJ, Najjar SS, Rodrigo ME, Shah KB, Shah P, Valantine HA
856 ## - ELECTRONIC LOCATION AND ACCESS
DOI <a href="https://dx.doi.org/10.1016/j.healun.2022.06.019">https://dx.doi.org/10.1016/j.healun.2022.06.019</a>
Public note https://dx.doi.org/10.1016/j.healun.2022.06.019
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Journal Article
Item type description Article
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection Home library Current library Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
          MedStar Authors Catalog MedStar Authors Catalog 09/26/2022   35872109 35872109 09/26/2022 09/26/2022 Journal Article

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