Evidence map›Paper›PMID 34330603›Full record

ArticleThe Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation2021

Plasma kallikrein predicts primary graft dysfunction after heart transplant.

Nicholas P Giangreco, Guillaume Lebreton, Susan Restaino, Mary Jane Farr, Emmanuel Zorn, Paolo C Colombo, Jignesh Patel, Ryan Levine, Lauren Truby, Rajesh Kumar Soni and 4 more

Abstract readMulticenter Study
In one paragraph

Article in The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Review
  2. Recipient plasma metabolomics as a predictor of heart transplant severe primary graft dysfunction.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Review
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  8. Review
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  10. Article
  11. Proteomic profiling identifies CLEC4C expression as a novel biomarker of primary graft dysfunction after heart transplantation.The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Nicholas P GiangrecoDepartments of Systems Biology, Biomedical Informatics, and Medicine, Columbia University, New York, New York.
Guillaume LebretonChirurgie Thoracique et Cardiovasculaire, Pitiíe-Salpetriere University Hospital, Paris, France.
Susan RestainoDepartment of Medicine, Division of Cardiology, Columbia University Irving Medical Center, New York, New York.
Mary Jane FarrDepartment of Medicine, Division of Cardiology, Columbia University Irving Medical Center, New York, New York.
Emmanuel ZornCenter for Translational Immunology, Columbia University Irving Medical Center, New York, New York.
Paolo C ColomboDepartment of Medicine, Division of Cardiology, Columbia University Irving Medical Center, New York, New York.
Jignesh PatelCedars-Sinai Heart Institute, Cedars Sinai Medical Center, Los Angeles, California.
Ryan LevineCedars-Sinai Heart Institute, Cedars Sinai Medical Center, Los Angeles, California.
Lauren TrubyDepartment of Medicine, Division of Cardiology, Columbia University Irving Medical Center, New York, New York.
Rajesh Kumar SoniProteomics and Macromolecular Crystallography Shared Resource, Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York.
Pascal LeprinceChirurgie Thoracique et Cardiovasculaire, Pitiíe-Salpetriere University Hospital, Paris, France.
Jon KobashigawaCedars-Sinai Heart Institute, Cedars Sinai Medical Center, Los Angeles, California.
Nicholas P TatonettiDepartments of Systems Biology, Biomedical Informatics, and Medicine, Columbia University, New York, New York; Institute for Genomic Medicine, Columbia University, New York, New York.
Barry M FineDepartment of Medicine, Division of Cardiology, Columbia University Irving Medical Center, New York, New York. Electronic address: barry.fine@columbia.edu.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
TRAINING IN CELLULAR, MOLECULAR AND BIOPHYSICAL STUDIEST32GM008224 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI LIEM, RONALD K. · 1987 to 2021
$9.9M
Precision Pharmacology and Pharmacovigilance: Leveraging AI to address drug safety knowledge gapsR35GM131905 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Nicholas P Tatonetti · 2019 to 2026
$3.3M
NCATS NIH HHS UL1 TR001873NIGMS NIH HHS R35 GM131905NIGMS NIH HHS T32 GM008224
6 · The paper itself

Abstract

backgroundPrimary graft dysfunction (PGD) is the leading cause of early mortality after heart transplant. Pre-transplant predictors of PGD remain elusive and its etiology remains unclear.

methodsMicrovesicles were isolated from 88 pre-transplant serum samples and underwent proteomic evaluation using TMT mass spectrometry. Monte Carlo cross validation (MCCV) was used to predict the occurrence of severe PGD after transplant using recipient pre-transplant clinical characteristics and serum microvesicle proteomic data. Putative biological functions and pathways were assessed using gene set enrichment analysis (GSEA) within the MCCV prediction methodology.

resultsUsing our MCCV prediction methodology, decreased levels of plasma kallikrein (KLKB1), a critical regulator of the kinin-kallikrein system, was the most predictive factor identified for PGD (AUROC 0.6444 [0.6293, 0.6655]; odds 0.1959 [0.0592, 0.3663]. Furthermore, a predictive panel combining KLKB1 with inotrope therapy achieved peak performance (AUROC 0.7181 [0.7020, 0.7372]) across and within (AUROCs of 0.66-0.78) each cohort. A classifier utilizing KLKB1 and inotrope therapy outperforms existing composite scores by more than 50 percent. The diagnostic utility of the classifier was validated on 65 consecutive transplant patients, resulting in an AUROC of 0.71 and a negative predictive value of 0.92-0.96. Differential expression analysis revealed a enrichment in inflammatory and immune pathways prior to PGD.

conclusionsPre-transplant level of KLKB1 is a robust predictor of post-transplant PGD. The combination with pre-transplant inotrope therapy enhances the prediction of PGD compared to pre-transplant KLKB1 levels alone and the resulting classifier equation validates within a prospective validation cohort. Inflammation and immune pathway enrichment characterize the pre-transplant proteomic signature predictive of PGD.

Indexed as

AdultAgedCardiomyopathiesCohort StudiesExtracellular VesiclesFemaleHeart TransplantationHumansLogistic ModelsMachine LearningMaleMiddle AgedPlasma KallikreinPredictive Value of TestsPrimary Graft DysfunctionProteomicsPlasma Kallikreinexosomesmachine learningprimary graft dysfunction

Identifiers

PMID34330603
PMCPMC8464488

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.