Depression and cardiovascular risk-association among Beck Depression Inventory, PCSK9 levels and insulin resistance.


Journal

Cardiovascular diabetology
ISSN: 1475-2840
Titre abrégé: Cardiovasc Diabetol
Pays: England
ID NLM: 101147637

Informations de publication

Date de publication:
03 11 2020
Historique:
received: 24 08 2020
accepted: 12 10 2020
entrez: 4 11 2020
pubmed: 5 11 2020
medline: 8 6 2021
Statut: epublish

Résumé

Depression and cardiovascular disease (CVD) are among the most common causes of disability in high-income countries, depression being associated with a 30% increased risk of future CV events. Depression is twice as common in people with diabetes and is associated with a 60% rise in the incidence of type 2 diabetes, an independent CVD risk factor. Proprotein convertase subtilisin/kexin type 9 (PCSK9), a key regulator of low-density lipoprotein cholesterol, has been related to a large number of CV risk factors, including insulin resistance. Aim of this study was to investigate whether the presence of depression could affect PCSK9 levels in a population of obese subjects susceptible to depressive symptoms and how these changes may mediate a pre-diabetic risk. In 389 obese individuals, the Beck Depression Inventory (BDI-II) was significantly associated with PCSK9 levels. For every one-unit increment in BDI-II score, PCSK9 rose by 1.85 ng/mL. Depression was associated also with the HOMA-IR (homeostatic model assessment index of insulin resistance), 11% of this effect operating indirectly via PCSK9. This study indicates a possible mechanism linking depression and insulin resistance, a well-known CV risk factor, providing evidence for a significant role of PCSK9.

Sections du résumé

BACKGROUND
Depression and cardiovascular disease (CVD) are among the most common causes of disability in high-income countries, depression being associated with a 30% increased risk of future CV events. Depression is twice as common in people with diabetes and is associated with a 60% rise in the incidence of type 2 diabetes, an independent CVD risk factor. Proprotein convertase subtilisin/kexin type 9 (PCSK9), a key regulator of low-density lipoprotein cholesterol, has been related to a large number of CV risk factors, including insulin resistance. Aim of this study was to investigate whether the presence of depression could affect PCSK9 levels in a population of obese subjects susceptible to depressive symptoms and how these changes may mediate a pre-diabetic risk.
RESULTS
In 389 obese individuals, the Beck Depression Inventory (BDI-II) was significantly associated with PCSK9 levels. For every one-unit increment in BDI-II score, PCSK9 rose by 1.85 ng/mL. Depression was associated also with the HOMA-IR (homeostatic model assessment index of insulin resistance), 11% of this effect operating indirectly via PCSK9.
CONCLUSIONS
This study indicates a possible mechanism linking depression and insulin resistance, a well-known CV risk factor, providing evidence for a significant role of PCSK9.

Identifiants

pubmed: 33143700
doi: 10.1186/s12933-020-01158-6
pii: 10.1186/s12933-020-01158-6
pmc: PMC7641831
doi:

Substances chimiques

Biomarkers 0
PCSK9 protein, human EC 3.4.21.-
Proprotein Convertase 9 EC 3.4.21.-

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

187

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Auteurs

C Macchi (C)

Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy.

C Favero (C)

EPIGET Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy.

A Ceresa (A)

Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.

L Vigna (L)

Occupational Medicine Unit, Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy.

D M Conti (DM)

Occupational Medicine Unit, Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy.

A C Pesatori (AC)

EPIGET Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy.

G Racagni (G)

Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy.

A Corsini (A)

Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy.
IRCCS, Multimedica, Sesto San Giovanni (Milan), Italy.

N Ferri (N)

Dipartimento di Scienze del Farmaco, Università degli Studi di Padova, Padua, Italy.

C R Sirtori (CR)

Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy.

M Buoli (M)

Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
Department of Neurosciences and Mental Health, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy.

V Bollati (V)

EPIGET Department of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy. valentina.bollati@unimi.it.

M Ruscica (M)

Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy. massimiliano.ruscica@unimi.it.

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