Identification of a peripheral blood gene signature predicting aortic valve calcification

Author:

MacGrogan Donal12,Martínez-Poveda Beatriz12,Desvignes Jean-Pierre3,Fernandez-Friera Leticia245,Gomez Manuel José6,Gil Vilariño Eduardo7,Callejas Alejano Sergio7,Garcia-Pavia Pablo289,Solis Jorge10,Lucena Joaquín11,Salgado David3,Collod-Béroud Gwenaelle3,Faure Emilie3,Théron Alexis12,Torrents Julia13,Avierinos Jean-François312,Montes Lorena14,Dopazo Ana7,Fuster Valentín1516,Ibañez Borja2131417,Sánchez-Cabo Fátima6,Zaffran Stephane3,de la Pompa José Luis12ORCID

Affiliation:

1. Intercellular Signaling in Cardiovascular Development and Disease Laboratory, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain

2. Ciber de Enfermedades Cardiovasculares, Instituto de Salud Carlos III, Madrid, Spain

3. Aix Marseille University, Marseille Medical Genetics, INSERM U1251, Marseille, France

4. Translational Laboratory for Cardiovascular Imaging and Therapy, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain

5. HM Hospitales-Centro Integral de Enfermedades Cardiovasculares, Madrid, Spain

6. Bioinformatics Unit, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain

7. Genomics Unit, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain

8. Departmento de Cardiología, Hospital Universitario Puerta de Hierro, Madrid, Spain

9. Universidad Francisco de Vitoria, Pozuelo de Alarcón, Madrid, Spain

10. Departmento of Cardiología, Hospital Universitario Doce de Octubre, Madrid, Spain

11. Servicio de Patología Forense, Instituto de Medicina Legal y Ciencias Forenses

12. Service de Cardiologie, Hôpital de la Timone, Marseille, France

13. Service d’anatomie et Cytologie Pathologiques, Hôpital de la Timone, Marseille, France

14. Hospital Clínico San Carlos, Madrid, Spain

15. Cardiovascular Imaging and Population Studies Laboratory, Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain

16. Cardiology Department, Icahn School of Medicine at Mount Sinai, New York, New York

17. IIS-Fundación Jiménez Díaz Hospital Universitario, Madrid, Spain

Abstract

Calcific aortic valve disease (CAVD) is a significant cause of illness and death worldwide. Identification of early predictive markers could help optimize patient management. RNA-sequencing was carried out on human fetal aortic valves at gestational weeks 9, 13, and 22 and on a case-control study with adult noncalcified and calcified bicuspid and tricuspid aortic valves. In dimension reduction and clustering analyses, diseased valves tended to cluster with fetal valves at week 9 rather than normal adult valves, suggesting that part of the disease program might be due to reiterated developmental processes. The analysis of groups of coregulated genes revealed predominant immune-metabolic signatures, including innate and adaptive immune responses involving lymphocyte T-cell metabolic adaptation. Cytokine and chemokine signaling, cell migration, and proliferation were all increased in CAVD, whereas oxidative phosphorylation and protein translation were decreased. Discrete immune-metabolic gene signatures were present at fetal stages and increased in adult controls, suggesting that these processes intensify throughout life and heighten in disease. Cellular stress response and neurodegeneration gene signatures were aberrantly expressed in CAVD, pointing to a mechanistic link between chronic inflammation and biological aging. Comparison of the valve RNA-sequencing data set with a case-control study of whole blood transcriptomes from asymptomatic individuals with early aortic valve calcification identified a highly predictive gene signature of CAVD and of moderate aortic valve calcification in overtly healthy individuals. These data deepen and broaden our understanding of the molecular basis of CAVD and identify a peripheral blood gene signature for the early detection of aortic valve calcification.

Funder

Ministerio de Ciencia e Innovación

Publisher

American Physiological Society

Subject

Genetics,Physiology

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