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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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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. |
format | Online Article Text |
id | pubmed-5589218 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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