Literature DB >> 33768160

The evolution of patient-specific precision biomarkers to guide personalized heart-transplant care.

Mario C Deng1.   

Abstract

INTRODUCTION: In parallel to the clinical maturation of heart transplantation over the last 50 years, rejection testing has been revolutionized within the systems biology paradigm triggered by the Human Genome Project. AREAS COVERED: We have co-developed the first FDA-cleared diagnostic and prognostic leukocyte gene expression profiling biomarker test in transplantation medicine that gained international evidence-based medicine guideline acceptance to rule out moderate/severe acute cellular cardiac allograft rejection without invasive endomyocardial biopsies. This work prompted molecular re-classification of intragraft biology, culminating in the identification of a pattern of intragraft myocyte injury, in addition to acute cellular rejection and antibody-mediated rejection. This insight stimulated research into non-invasive detection of myocardial allograft injury. The addition of a donor-organ specific myocardial injury marker based on donor-derived cell-free DNA further strengthens the non-invasive monitoring concept, combining the clinical use of two complementary non-invasive blood-based measures, host immune activity-related risk of acute rejection as well as cardiac allograft injury. EXPERT OPINION: This novel complementary non-invasive heart transplant monitoring strategy based on leukocyte gene expression profiling and donor-derived cell-free DNA that incorporates longitudinal variability measures provides an exciting novel algorithm of heart transplant allograft monitoring. This algorithm's clinical utility will need to be tested in an appropriately designed randomized clinical trial which is in preparation.

Entities:  

Keywords:  allograft rejection; biomarker; cell-free DNA; endomyocardial biopsy; heart transplantation; organ dysfunction; outcome prediction; peripheral blood mononuclear cell transcriptome profiling; personalized medicine; precision medicine

Year:  2020        PMID: 33768160      PMCID: PMC7986584          DOI: 10.1080/23808993.2021.1840273

Source DB:  PubMed          Journal:  Expert Rev Precis Med Drug Dev        ISSN: 2380-8993


  97 in total

1.  Is there a correlation between brain naturietic peptide levels and echocardiographic and hemodynamic parameters in heart transplant patients?

Authors:  L Almenar; M A Arnau; L Martínez-Dolz; I Hervás; A Osa; V Miró; E Sánchez; E Zorio; J Rueda; A Mateo; A Salvador
Journal:  Transplant Proc       Date:  2006-10       Impact factor: 1.066

Review 2.  Can molecular techniques be applied to improve the endomyocardial biopsy diagnosis of acute rejection?

Authors:  M C Deng; H A Baba; M Erren; G Plenz; S Kerber; G Breithardt; H H Scheld
Journal:  Transplant Proc       Date:  1998-05       Impact factor: 1.066

3.  Randomized pilot trial of gene expression profiling versus heart biopsy in the first year after heart transplant: early invasive monitoring attenuation through gene expression trial.

Authors:  Jon Kobashigawa; Jignesh Patel; Babak Azarbal; Michelle Kittleson; David Chang; Lawrence Czer; Tiffany Daun; Minh Luu; Alfredo Trento; Richard Cheng; Fardad Esmailian
Journal:  Circ Heart Fail       Date:  2015-02-19       Impact factor: 8.790

4.  Concordance among pathologists in the second Cardiac Allograft Rejection Gene Expression Observational Study (CARGO II).

Authors:  Maria G Crespo-Leiro; Andreas Zuckermann; Christoph Bara; Paul Mohacsi; Uwe Schulz; Andrew Boyle; Heather J Ross; Jayan Parameshwar; Michael Zakliczyński; Roberto Fiocchi; Joerg Stypmann; Daniel Hoefer; Hans Lehmkuhl; Mario C Deng; Pascal Leprince; Gerald Berry; Charles C Marboe; Susan Stewart; Henry D Tazelaar; Helen M Baron; Ian-Charles Coleman; Johan Vanhaecke
Journal:  Transplantation       Date:  2012-12-15       Impact factor: 4.939

5.  Noninvasive monitoring of infection and rejection after lung transplantation.

Authors:  Iwijn De Vlaminck; Lance Martin; Michael Kertesz; Kapil Patel; Mark Kowarsky; Calvin Strehl; Garrett Cohen; Helen Luikart; Norma F Neff; Jennifer Okamoto; Mark R Nicolls; David Cornfield; David Weill; Hannah Valantine; Kiran K Khush; Stephen R Quake
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-12       Impact factor: 11.205

Review 6.  Molecular networks in Network Medicine: Development and applications.

Authors:  Edwin K Silverman; Harald H H W Schmidt; Eleni Anastasiadou; Lucia Altucci; Marco Angelini; Lina Badimon; Jean-Luc Balligand; Giuditta Benincasa; Giovambattista Capasso; Federica Conte; Antonella Di Costanzo; Lorenzo Farina; Giulia Fiscon; Laurent Gatto; Michele Gentili; Joseph Loscalzo; Cinzia Marchese; Claudio Napoli; Paola Paci; Manuela Petti; John Quackenbush; Paolo Tieri; Davide Viggiano; Gemma Vilahur; Kimberly Glass; Jan Baumbach
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2020-04-19

7.  The economic implications of noninvasive molecular testing for cardiac allograft rejection.

Authors:  Roger W Evans; Gavin E Williams; Helen M Baron; Mario C Deng; Howard J Eisen; Sharon A Hunt; Mahmud M Khan; Jon A Kobashigawa; Eric N Marton; Mandeep R Mehra; Seema R Mital
Journal:  Am J Transplant       Date:  2005-06       Impact factor: 8.086

8.  Analytical Validation of HEARTBiT: A Blood-Based Multiplex Gene Expression Profiling Assay for Exclusionary Diagnosis of Acute Cellular Rejection in Heart Transplant Patients.

Authors:  Ji-Young V Kim; Brandon Lee; Pavlos Koitsopoulos; Casey P Shannon; Virginia Chen; Zsuzsanna Hollander; Sara Assadian; Karen Lam; Gordon Ritchie; Janet McManus; W Robert McMaster; Raymond T Ng; Bruce M McManus; Scott J Tebbutt
Journal:  Clin Chem       Date:  2020-08-01       Impact factor: 8.327

9.  Temporal response of the human virome to immunosuppression and antiviral therapy.

Authors:  Iwijn De Vlaminck; Kiran K Khush; Calvin Strehl; Bitika Kohli; Helen Luikart; Norma F Neff; Jennifer Okamoto; Thomas M Snyder; David N Cornfield; Mark R Nicolls; David Weill; Daniel Bernstein; Hannah A Valantine; Stephen R Quake
Journal:  Cell       Date:  2013-11-21       Impact factor: 41.582

10.  Urinary Proteomics in Predicting Heart Transplantation Outcomes (uPROPHET)-Rationale and database description.

Authors:  Qi-Fang Huang; Sander Trenson; Zhen-Yu Zhang; Wen-Yi Yang; Lucas Van Aelst; Esther Nkuipou-Kenfack; Fang-Fei Wei; Blerim Mujaj; Lutgarde Thijs; Agnieszka Ciarka; Jerome Zoidakis; Walter Droogné; Antonia Vlahou; Stefan Janssens; Johan Vanhaecke; Johan Van Cleemput; Jan A Staessen
Journal:  PLoS One       Date:  2017-09-07       Impact factor: 3.240

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  1 in total

1.  Variability in Donor-Derived Cell-Free DNA Scores to Predict Mortality in Heart Transplant Recipients - A Proof-of-Concept Study.

Authors:  Megan Kamath; Grigoriy Shekhtman; Tristan Grogan; Michelle J Hickey; Irina Silacheva; Karishma S Shah; Kishan S Shah; Adrian Hairapetian; Diego Gonzalez; Giovanny Godoy; Elaine F Reed; David Elashoff; Galyna Bondar; Mario C Deng
Journal:  Front Immunol       Date:  2022-02-18       Impact factor: 8.786

  1 in total

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