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Transcriptional, epigenetic and metabolic signatures in cardiometabolic syndrome defined by extreme phenotypes

BACKGROUND: This work is aimed at improving the understanding of cardiometabolic syndrome pathophysiology and its relationship with thrombosis by generating a multi-omic disease signature. METHODS/RESULTS: We combined classic plasma biochemistry and plasma biomarkers with the transcriptional and epi...

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Autores principales: Seyres, Denis, Cabassi, Alessandra, Lambourne, John J., Burden, Frances, Farrow, Samantha, McKinney, Harriet, Batista, Joana, Kempster, Carly, Pietzner, Maik, Slingsby, Oliver, Cao, Thong Huy, Quinn, Paulene A., Stefanucci, Luca, Sims, Matthew C., Rehnstrom, Karola, Adams, Claire L., Frary, Amy, Ergüener, Bekir, Kreuzhuber, Roman, Mocciaro, Gabriele, D’Amore, Simona, Koulman, Albert, Grassi, Luigi, Griffin, Julian L., Ng, Leong Loke, Park, Adrian, Savage, David B., Langenberg, Claudia, Bock, Christoph, Downes, Kate, Wareham, Nicholas J., Allison, Michael, Vacca, Michele, Kirk, Paul D. W., Frontini, Mattia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917653/
https://www.ncbi.nlm.nih.gov/pubmed/35279219
http://dx.doi.org/10.1186/s13148-022-01257-z
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author Seyres, Denis
Cabassi, Alessandra
Lambourne, John J.
Burden, Frances
Farrow, Samantha
McKinney, Harriet
Batista, Joana
Kempster, Carly
Pietzner, Maik
Slingsby, Oliver
Cao, Thong Huy
Quinn, Paulene A.
Stefanucci, Luca
Sims, Matthew C.
Rehnstrom, Karola
Adams, Claire L.
Frary, Amy
Ergüener, Bekir
Kreuzhuber, Roman
Mocciaro, Gabriele
D’Amore, Simona
Koulman, Albert
Grassi, Luigi
Griffin, Julian L.
Ng, Leong Loke
Park, Adrian
Savage, David B.
Langenberg, Claudia
Bock, Christoph
Downes, Kate
Wareham, Nicholas J.
Allison, Michael
Vacca, Michele
Kirk, Paul D. W.
Frontini, Mattia
author_facet Seyres, Denis
Cabassi, Alessandra
Lambourne, John J.
Burden, Frances
Farrow, Samantha
McKinney, Harriet
Batista, Joana
Kempster, Carly
Pietzner, Maik
Slingsby, Oliver
Cao, Thong Huy
Quinn, Paulene A.
Stefanucci, Luca
Sims, Matthew C.
Rehnstrom, Karola
Adams, Claire L.
Frary, Amy
Ergüener, Bekir
Kreuzhuber, Roman
Mocciaro, Gabriele
D’Amore, Simona
Koulman, Albert
Grassi, Luigi
Griffin, Julian L.
Ng, Leong Loke
Park, Adrian
Savage, David B.
Langenberg, Claudia
Bock, Christoph
Downes, Kate
Wareham, Nicholas J.
Allison, Michael
Vacca, Michele
Kirk, Paul D. W.
Frontini, Mattia
author_sort Seyres, Denis
collection PubMed
description BACKGROUND: This work is aimed at improving the understanding of cardiometabolic syndrome pathophysiology and its relationship with thrombosis by generating a multi-omic disease signature. METHODS/RESULTS: We combined classic plasma biochemistry and plasma biomarkers with the transcriptional and epigenetic characterisation of cell types involved in thrombosis, obtained from two extreme phenotype groups (morbidly obese and lipodystrophy) and lean individuals to identify the molecular mechanisms at play, highlighting patterns of abnormal activation in innate immune phagocytic cells. Our analyses showed that extreme phenotype groups could be distinguished from lean individuals, and from each other, across all data layers. The characterisation of the same obese group, 6 months after bariatric surgery, revealed the loss of the abnormal activation of innate immune cells previously observed. However, rather than reverting to the gene expression landscape of lean individuals, this occurred via the establishment of novel gene expression landscapes. NETosis and its control mechanisms emerge amongst the pathways that show an improvement after surgical intervention. CONCLUSIONS: We showed that the morbidly obese and lipodystrophy groups, despite some differences, shared a common cardiometabolic syndrome signature. We also showed that this could be used to discriminate, amongst the normal population, those individuals with a higher likelihood of presenting with the disease, even when not displaying the classic features. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-022-01257-z.
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spelling pubmed-89176532022-03-21 Transcriptional, epigenetic and metabolic signatures in cardiometabolic syndrome defined by extreme phenotypes Seyres, Denis Cabassi, Alessandra Lambourne, John J. Burden, Frances Farrow, Samantha McKinney, Harriet Batista, Joana Kempster, Carly Pietzner, Maik Slingsby, Oliver Cao, Thong Huy Quinn, Paulene A. Stefanucci, Luca Sims, Matthew C. Rehnstrom, Karola Adams, Claire L. Frary, Amy Ergüener, Bekir Kreuzhuber, Roman Mocciaro, Gabriele D’Amore, Simona Koulman, Albert Grassi, Luigi Griffin, Julian L. Ng, Leong Loke Park, Adrian Savage, David B. Langenberg, Claudia Bock, Christoph Downes, Kate Wareham, Nicholas J. Allison, Michael Vacca, Michele Kirk, Paul D. W. Frontini, Mattia Clin Epigenetics Research BACKGROUND: This work is aimed at improving the understanding of cardiometabolic syndrome pathophysiology and its relationship with thrombosis by generating a multi-omic disease signature. METHODS/RESULTS: We combined classic plasma biochemistry and plasma biomarkers with the transcriptional and epigenetic characterisation of cell types involved in thrombosis, obtained from two extreme phenotype groups (morbidly obese and lipodystrophy) and lean individuals to identify the molecular mechanisms at play, highlighting patterns of abnormal activation in innate immune phagocytic cells. Our analyses showed that extreme phenotype groups could be distinguished from lean individuals, and from each other, across all data layers. The characterisation of the same obese group, 6 months after bariatric surgery, revealed the loss of the abnormal activation of innate immune cells previously observed. However, rather than reverting to the gene expression landscape of lean individuals, this occurred via the establishment of novel gene expression landscapes. NETosis and its control mechanisms emerge amongst the pathways that show an improvement after surgical intervention. CONCLUSIONS: We showed that the morbidly obese and lipodystrophy groups, despite some differences, shared a common cardiometabolic syndrome signature. We also showed that this could be used to discriminate, amongst the normal population, those individuals with a higher likelihood of presenting with the disease, even when not displaying the classic features. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-022-01257-z. BioMed Central 2022-03-12 /pmc/articles/PMC8917653/ /pubmed/35279219 http://dx.doi.org/10.1186/s13148-022-01257-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Seyres, Denis
Cabassi, Alessandra
Lambourne, John J.
Burden, Frances
Farrow, Samantha
McKinney, Harriet
Batista, Joana
Kempster, Carly
Pietzner, Maik
Slingsby, Oliver
Cao, Thong Huy
Quinn, Paulene A.
Stefanucci, Luca
Sims, Matthew C.
Rehnstrom, Karola
Adams, Claire L.
Frary, Amy
Ergüener, Bekir
Kreuzhuber, Roman
Mocciaro, Gabriele
D’Amore, Simona
Koulman, Albert
Grassi, Luigi
Griffin, Julian L.
Ng, Leong Loke
Park, Adrian
Savage, David B.
Langenberg, Claudia
Bock, Christoph
Downes, Kate
Wareham, Nicholas J.
Allison, Michael
Vacca, Michele
Kirk, Paul D. W.
Frontini, Mattia
Transcriptional, epigenetic and metabolic signatures in cardiometabolic syndrome defined by extreme phenotypes
title Transcriptional, epigenetic and metabolic signatures in cardiometabolic syndrome defined by extreme phenotypes
title_full Transcriptional, epigenetic and metabolic signatures in cardiometabolic syndrome defined by extreme phenotypes
title_fullStr Transcriptional, epigenetic and metabolic signatures in cardiometabolic syndrome defined by extreme phenotypes
title_full_unstemmed Transcriptional, epigenetic and metabolic signatures in cardiometabolic syndrome defined by extreme phenotypes
title_short Transcriptional, epigenetic and metabolic signatures in cardiometabolic syndrome defined by extreme phenotypes
title_sort transcriptional, epigenetic and metabolic signatures in cardiometabolic syndrome defined by extreme phenotypes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917653/
https://www.ncbi.nlm.nih.gov/pubmed/35279219
http://dx.doi.org/10.1186/s13148-022-01257-z
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