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Urinary Proteomics in Predicting Heart Transplantation Outcomes (uPROPHET)—Rationale and database description

OBJECTIVES: Urinary Proteomics in Predicting Heart Transplantation Outcomes (uPROPHET; NCT03152422) aims: (i) to construct new multidimensional urinary proteomic (UP) classifiers that after heart transplantation (HTx) help in detecting graft vasculopathy, monitoring immune system activity and graft...

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Autores principales: Huang, Qi-Fang, Trenson, Sander, Zhang, Zhen-Yu, Yang, Wen-Yi, Van Aelst, Lucas, Nkuipou-Kenfack, Esther, Wei, Fang-Fei, Mujaj, Blerim, Thijs, Lutgarde, Ciarka, Agnieszka, Zoidakis, Jerome, Droogné, Walter, Vlahou, Antonia, Janssens, Stefan, Vanhaecke, Johan, Van Cleemput, Johan, Staessen, Jan A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589218/
https://www.ncbi.nlm.nih.gov/pubmed/28880921
http://dx.doi.org/10.1371/journal.pone.0184443
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author Huang, Qi-Fang
Trenson, Sander
Zhang, Zhen-Yu
Yang, Wen-Yi
Van Aelst, Lucas
Nkuipou-Kenfack, Esther
Wei, Fang-Fei
Mujaj, Blerim
Thijs, Lutgarde
Ciarka, Agnieszka
Zoidakis, Jerome
Droogné, Walter
Vlahou, Antonia
Janssens, Stefan
Vanhaecke, Johan
Van Cleemput, Johan
Staessen, Jan A.
author_facet Huang, Qi-Fang
Trenson, Sander
Zhang, Zhen-Yu
Yang, Wen-Yi
Van Aelst, Lucas
Nkuipou-Kenfack, Esther
Wei, Fang-Fei
Mujaj, Blerim
Thijs, Lutgarde
Ciarka, Agnieszka
Zoidakis, Jerome
Droogné, Walter
Vlahou, Antonia
Janssens, Stefan
Vanhaecke, Johan
Van Cleemput, Johan
Staessen, Jan A.
author_sort Huang, Qi-Fang
collection PubMed
description OBJECTIVES: Urinary Proteomics in Predicting Heart Transplantation Outcomes (uPROPHET; NCT03152422) aims: (i) to construct new multidimensional urinary proteomic (UP) classifiers that after heart transplantation (HTx) help in detecting graft vasculopathy, monitoring immune system activity and graft performance, and in adjusting immunosuppression; (ii) to sequence UP peptide fragments and to identify key proteins mediating HTx-related complications; (iii) to validate UP classifiers by demonstrating analogy between UP profiles and tissue proteomic signatures (TP) in diseased explanted hearts, to be compared with normal donor hearts; (iv) and to identify new drug targets. This article describes the uPROPHET database construction, follow-up strategies and baseline characteristics of the HTx patients. METHODS: HTx patients enrolled at the University Hospital Gasthuisberg (Leuven) collected mid-morning urine samples. Cardiac biopsies were obtained at HTx. UP and TP methods and the statistical work flow in pursuit of the research objectives are described in detail in the Data supplement. RESULTS: Of 352 participants in the UP study (24.4% women), 38.9%, 40.3%, 5.7% and 15.1% had ischemic, dilated, hypertrophic or other cardiomyopathy. The median interval between HTx and first UP assessment (baseline) was 7.8 years. At baseline, mean values were 56.5 years for age, 25.2 kg/m(2) for body mass index, 142.3/84.8 mm Hg and 124.2/79.8 mm Hg for office and 24-h ambulatory systolic/diastolic pressure, and 58.6 mL/min/1.73 m(2) for the estimated glomerular filtration rate. Of all patients, 37.2% and 6.5% had a history of mild (grade = 1B) or severe (grade ≥ 2) cellular rejection. Anti-body mediated rejection had occurred in 6.2% patients. The number of follow-up urine samples available for future analyses totals over 950. The TP study currently includes biopsies from 7 healthy donors and 15, 14, and 3 patients with ischemic, dilated, and hypertrophic cardiomyopathy. CONCLUSIONS: uPROPHET constitutes a solid resources for UP and TP research in the field of HTx and has the ambition to lay the foundation for the clinical application of UP in risk stratification in HTx patients.
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spelling pubmed-55892182017-09-15 Urinary Proteomics in Predicting Heart Transplantation Outcomes (uPROPHET)—Rationale and database description Huang, Qi-Fang Trenson, Sander Zhang, Zhen-Yu Yang, Wen-Yi Van Aelst, Lucas Nkuipou-Kenfack, Esther Wei, Fang-Fei Mujaj, Blerim Thijs, Lutgarde Ciarka, Agnieszka Zoidakis, Jerome Droogné, Walter Vlahou, Antonia Janssens, Stefan Vanhaecke, Johan Van Cleemput, Johan Staessen, Jan A. PLoS One Research Article OBJECTIVES: Urinary Proteomics in Predicting Heart Transplantation Outcomes (uPROPHET; NCT03152422) aims: (i) to construct new multidimensional urinary proteomic (UP) classifiers that after heart transplantation (HTx) help in detecting graft vasculopathy, monitoring immune system activity and graft performance, and in adjusting immunosuppression; (ii) to sequence UP peptide fragments and to identify key proteins mediating HTx-related complications; (iii) to validate UP classifiers by demonstrating analogy between UP profiles and tissue proteomic signatures (TP) in diseased explanted hearts, to be compared with normal donor hearts; (iv) and to identify new drug targets. This article describes the uPROPHET database construction, follow-up strategies and baseline characteristics of the HTx patients. METHODS: HTx patients enrolled at the University Hospital Gasthuisberg (Leuven) collected mid-morning urine samples. Cardiac biopsies were obtained at HTx. UP and TP methods and the statistical work flow in pursuit of the research objectives are described in detail in the Data supplement. RESULTS: Of 352 participants in the UP study (24.4% women), 38.9%, 40.3%, 5.7% and 15.1% had ischemic, dilated, hypertrophic or other cardiomyopathy. The median interval between HTx and first UP assessment (baseline) was 7.8 years. At baseline, mean values were 56.5 years for age, 25.2 kg/m(2) for body mass index, 142.3/84.8 mm Hg and 124.2/79.8 mm Hg for office and 24-h ambulatory systolic/diastolic pressure, and 58.6 mL/min/1.73 m(2) for the estimated glomerular filtration rate. Of all patients, 37.2% and 6.5% had a history of mild (grade = 1B) or severe (grade ≥ 2) cellular rejection. Anti-body mediated rejection had occurred in 6.2% patients. The number of follow-up urine samples available for future analyses totals over 950. The TP study currently includes biopsies from 7 healthy donors and 15, 14, and 3 patients with ischemic, dilated, and hypertrophic cardiomyopathy. CONCLUSIONS: uPROPHET constitutes a solid resources for UP and TP research in the field of HTx and has the ambition to lay the foundation for the clinical application of UP in risk stratification in HTx patients. Public Library of Science 2017-09-07 /pmc/articles/PMC5589218/ /pubmed/28880921 http://dx.doi.org/10.1371/journal.pone.0184443 Text en © 2017 Huang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Huang, Qi-Fang
Trenson, Sander
Zhang, Zhen-Yu
Yang, Wen-Yi
Van Aelst, Lucas
Nkuipou-Kenfack, Esther
Wei, Fang-Fei
Mujaj, Blerim
Thijs, Lutgarde
Ciarka, Agnieszka
Zoidakis, Jerome
Droogné, Walter
Vlahou, Antonia
Janssens, Stefan
Vanhaecke, Johan
Van Cleemput, Johan
Staessen, Jan A.
Urinary Proteomics in Predicting Heart Transplantation Outcomes (uPROPHET)—Rationale and database description
title Urinary Proteomics in Predicting Heart Transplantation Outcomes (uPROPHET)—Rationale and database description
title_full Urinary Proteomics in Predicting Heart Transplantation Outcomes (uPROPHET)—Rationale and database description
title_fullStr Urinary Proteomics in Predicting Heart Transplantation Outcomes (uPROPHET)—Rationale and database description
title_full_unstemmed Urinary Proteomics in Predicting Heart Transplantation Outcomes (uPROPHET)—Rationale and database description
title_short Urinary Proteomics in Predicting Heart Transplantation Outcomes (uPROPHET)—Rationale and database description
title_sort urinary proteomics in predicting heart transplantation outcomes (uprophet)—rationale and database description
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589218/
https://www.ncbi.nlm.nih.gov/pubmed/28880921
http://dx.doi.org/10.1371/journal.pone.0184443
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