STUDIO DELL¿ASSOCIAZIONE TRA INQUINAMENTO ATMOSFERICO E DISTURBO DEPRESSIVO MAGGIORE: RUOLO DI MARCATORI BIOLOGICI ED EPIGENETICI
type: CreativeWork
description: INTRODUCTION: Major Depressive Disorder (MDD) is the most common mental disorder worldwide, affecting about 13% of adults and representing the second leading cause of disability. Despite its important social impact, etiopathology of the disease is still unknown. It has been suggested that MDD is a multifactorial disease, where genetic, environmental and biological factors may play a role. Among biological changes, epigenetic, immunological, and hormonal abnormalities have been found in MDD patients. Furthermore, recent studies have investigated whether air pollution may be a potential contributor of the onset of the disease, finding positive associations. AIMS: In a sample of MDD patients: evaluate the association between exposure to air pollution and MDD severity; evaluate the relationship between MDD severity and different biological (inflammatory, epigenetic, hormonal) markers; evaluate the association between air pollution and the biological variables of interest; quantify the specific contribution of the investigated biological variables in the chain of events linking air pollution exposure to MDD severity (in the present study, we will focus on epigenetic alterations only). METHODS: Overall, 416 MDD patients accessing the psychiatry unit of the Policlinico Hospital in Milan (Italy) from September 2020 to December 2022 have been recruited. Enrolled patients answered two questionnaires to collect demographic and lifestyle information, and history and characteristics of depression; they also donated a blood sample to examine biomarkers of interest. Severity of MDD was evaluated through five severity-of-illness rating scales: Montgomery-Asberg Depression Rating Scale (MADRS); Hamilton Depression Rating Scale (HAMD); Clinical Global Impression (CGI); Global Assessment of Functioning (GAF) and Sheehan Disability Scale (SDS). Daily exposures to particulate matter with diameter less than or equal to 10 (PM10) and 2.5 μm (PM2.5), and nitrogen dioxide (NO2) were estimat…
abstract: INTRODUCTION: Major Depressive Disorder (MDD) is the most common mental disorder worldwide, affecting about 13% of adults and representing the second leading cause of disability. Despite its important social impact, etiopathology of the disease is still unknown. It has been suggested that MDD is a multifactorial disease, where genetic, environmental and biological factors may play a role. Among biological changes, epigenetic, immunological, and hormonal abnormalities have been found in MDD patients. Furthermore, recent studies have investigated whether air pollution may be a potential contributor of the onset of the disease, finding positive associations. AIMS: In a sample of MDD patients: evaluate the association between exposure to air pollution and MDD severity; evaluate the relationship between MDD severity and different biological (inflammatory, epigenetic, hormonal) markers; evaluate the association between air pollution and the biological variables of interest; quantify the specific contribution of the investigated biological variables in the chain of events linking air pollution exposure to MDD severity (in the present study, we will focus on epigenetic alterations only). METHODS: Overall, 416 MDD patients accessing the psychiatry unit of the Policlinico Hospital in Milan (Italy) from September 2020 to December 2022 have been recruited. Enrolled patients answered two questionnaires to collect demographic and lifestyle information, and history and characteristics of depression; they also donated a blood sample to examine biomarkers of interest. Severity of MDD was evaluated through five severity-of-illness rating scales: Montgomery-Asberg Depression Rating Scale (MADRS); Hamilton Depression Rating Scale (HAMD); Clinical Global Impression (CGI); Global Assessment of Functioning (GAF) and Sheehan Disability Scale (SDS). Daily exposures to particulate matter with diameter less than or equal to 10 (PM10) and 2.5 μm (PM2.5), and nitrogen dioxide (NO2) were estimat…
author: BORRONI, ELISA
language: eng
date published: 2024-01-09
date modified: 2026-07-27T20:18:56Z
provider: Università degli Studi di Milano
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Università degli Studi di Milano

PropertyValue
property ID: Handle
value: https://hdl.handle.net/2434/1023151

PropertyValue
property ID: DOI
value: 10.13130/borroni-elisa_phd2024-01-09