Evidence map›Paper›PMID 39583163›Full record

ArticleBrain, behavior, & immunity - health2024

Inflammation and depression: A study protocol to dissect pathogenetic mechanisms in the onset, comorbidity and treatment response.

Catia Scassellati, Nadia Cattane, Francesco Benedetti, Tiziana Borsello, Giuseppe Cicala, Massimo Gennarelli, Patrizia Genini, Alessandro Gialluisi, Arianna Giani, Licia Iacoviello and 5 more

Abstract read
In one paragraph

Article in Brain, behavior, & immunity - health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Catia ScassellatiBiological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Nadia CattaneBiological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Francesco BenedettiPsychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milan, Italy.
Tiziana BorselloDepartment of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy.
Giuseppe CicalaDepartment of Clinical and Experimental Medicine, University of Messina, 98125, Messina, Italy.
Massimo GennarelliDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Patrizia GeniniBiological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Alessandro GialluisiDepartment of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy.
Arianna GianiDepartment of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Milan, Italy.
Licia IacovielloDepartment of Epidemiology and Prevention, IRCCS NEUROMED, Pozzilli, Italy.
Alessandra MinelliDepartment of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Edoardo SpinaDepartment of Clinical and Experimental Medicine, University of Messina, 98125, Messina, Italy.
Benedetta VaiPsychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milan, Italy.
Erika VitaliBiological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Annamaria CattaneoBiological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

About one third of patients suffering from Major Depressive Disorder (MDD) do not respond to any antidepressant medications and 75% experience relapses and general health deterioration. Importantly, inflammation can contribute to such negative outcomes, as well as to cause depression in patients who have been exposed to adverse childhood experiences and/or to viral infections, including COVID-19. Depressed patients also have an increased risk for developing comorbidities, such as cardio-metabolic dysfunctions, where inflammatory alterations, again, play a role in connecting MDD and these comorbid conditions. Here, we present our study protocol funded by the Italian Ministry of Health in the context of the PNRR call (M6/C2_CALL 2022; Project code: PNRR-MAD-2022-12375859). The project aims to clarify the role of inflammation: i) in the onset of depression in association with environmental factors; ii) in the mechanisms associated with treatment response/resistance; iii) in depression and its comorbidity. To reach all these aims, we will perform biochemical, transcriptomic, genetic variants analyses on inflammatory/immune genes, pharmacokinetics and machine learning techniques, taking advantage of different human cohorts (adolescent depressed patients exposed to childhood trauma; adult depressed patients; treatment resistant depression patients; both prevalent and incident depression cases identified within a large population cohort). Moreover, we will use

Indexed as

ComorbidityDepressionEnvironmental factorsInflammationMachine learningMolecular analysesPharmacokineticsTreatment resistanceTreatment response

Identifiers

PMID39583163
PMCPMC11582470

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.