Literature DB >> 23241128

Pathophysiological mechanisms linking depression and atherosclerosis: an overview.

C Pizzi, L Santarella, M G Costa, O Manfrini, M E Flacco, L Capasso, S Chiarini, A Di Baldassarre, L Manzoli.   

Abstract

It is well recognized that depression is independently associated with cardiovascular events. However, uncertainties remain on the pathophysiological pathways underlying the association between depression and coronary heart disease. In addition to the traditional cardiovascular risk factors, autonomic nervous system (ANS), low grade of inflammation, platelet and hypothalamic-pituitary-adrenal axis function and genetic factors may adversely impact the endothelium of the arterial wall. We provide an overview of the pathophysiological mechanisms and indices which seem to have a role in promoting and accelerating atherosclerosis and its complications due to plaque rupture and thrombosis. Given that the relationship between depression and atherosclerosis cannot be fully explained by single mechanisms, which seem at least partially interrelated, the depression-related dysfunctions in the ANS and hypothalamic-pituitary-adrenal axis seem to play a major role, promoting chronic inflammation, endothelial dysfunction and platelet activation and aggregation, which in turn are key steps in the development of atherosclerosis and its complications.

Entities:  

Mesh:

Year:  2012        PMID: 23241128

Source DB:  PubMed          Journal:  J Biol Regul Homeost Agents        ISSN: 0393-974X            Impact factor:   1.711


  7 in total

1.  Aspirin and incident depressive symptoms: A longitudinal cohort study over 8 years.

Authors:  Nicola Veronese; Ai Koyanagi; Brendon Stubbs; Marco Solmi; Michele Fornaro; Brisa S Fernandes; Christoph Mueller; Trevor Thompson; André F Carvalho; Stefania Maggi
Journal:  Int J Geriatr Psychiatry       Date:  2017-08-06       Impact factor: 3.485

2.  Focal points of preanesthesia evaluations for electroconvulsive therapy in patients with depression: a retrospective analysis of clinical characteristics in nonremission.

Authors:  Lei Zou; Xiao Li; Qibin Chen; Feng Lv; Su Min
Journal:  BMC Anesthesiol       Date:  2022-05-26       Impact factor: 2.376

3.  Estimation of Heart Rate Variability Parameters by Machine Learning Approaches Applied to Facial Infrared Thermal Imaging.

Authors:  Andrea Di Credico; David Perpetuini; Pascal Izzicupo; Giulia Gaggi; Daniela Cardone; Chiara Filippini; Arcangelo Merla; Barbara Ghinassi; Angela Di Baldassarre
Journal:  Front Cardiovasc Med       Date:  2022-05-17

4.  Peripheral levels of the anti-aging hormone Klotho in patients with depression.

Authors:  Alexander Sartorius; Maria Gilles; Anna-Maria Pfeifer; Michael Deuschle; Carolin Hoyer; Dieter Haffner; Maren Leifheit-Nestler; Laura Kranaster
Journal:  J Neural Transm (Vienna)       Date:  2019-05-04       Impact factor: 3.575

5.  Flow cytometry based platelet activation markers and state of inflammation among subjects with type 2 diabetes with and without depression.

Authors:  Shyamkrishnan R; Gautom Kumar Saharia; Suravi Patra; Debapriya Bandyopadhyay; Binod Kumar Patro
Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

6.  H-FABP Levels and Psycho-Emotional Improvement of CABG Patients during Cardiac Rehabilitation.

Authors:  Razan Al Namat; Dina Al Namat; Manuela Ciocoiu; Marius Valeriu Hînganu; Laurențiu Șorodoc; Victorița Șorodoc; Liliana Georgeta Foia; Laura Florea; Cristiana Vlad; Ana Tănasă; Mihai Constantin; Daniel Cioloca; Minerva Codruța Bădescu; Amin Bazyani; Maura Felea
Journal:  J Cardiovasc Dev Dis       Date:  2022-07-28

Review 7.  Depression as an Immunometabolic Disorder: Exploring Shared Pharmacotherapeutics with Cardiovascular Disease.

Authors:  Mervin Chávez-Castillo; Manuel Nava; Ángel Ortega; Milagros Rojas; Victoria Núñez; Juan Salazar; Valmore Bermúdez; Joselyn Rojas-Quintero
Journal:  Curr Neuropharmacol       Date:  2020       Impact factor: 7.363

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.