Major depressive disorder (MDD) is a widespread and disabling condition whose etiology and pathophysiology are not fully understood. Furthermore, pharmacological treatment of MDD poses challenging aspects, including delayed therapeutic effects, ineffectiveness against the so-called "residual symptoms", and a high proportion of non-responder patients. On these bases, it is crucial to recognize the key molecular systems and mechanisms involved in the pathophysiology of MDD in order to improve diagnostic tools and develop more effective pharmacological strategies. In this context, proteomics is a highly effective tool for simultaneously identifying and quantifying a large number of proteins within biological samples. This review will describe and discuss proteomic data from stress-based experimental models of MDD as well as from human brains and bodily fluids (e.g., cerebrospinal fluid and plasma), with the aim of elucidating the neurobiological counterparts of this psychiatric disorder. These findings will be summarized in an attempt to provide comprehensive maps of the biological systems involved in MDD, offering new insights into the molecular basis of different disease subtypes and paving the way to personalized diagnostic and treatment strategies.

The neurobiology of major depressive disorder: Updates and perspectives from proteomics / V. Spero, S. D’Amelio, S. Eligini, R. Molteni, C. Banfi, M.G. Cattaneo. - In: PROGRESS IN NEUROBIOLOGY. - ISSN 0301-0082. - 255:(2025 Dec), pp. 102855.1-102855.20. [10.1016/j.pneurobio.2025.102855]

The neurobiology of major depressive disorder: Updates and perspectives from proteomics

V. Spero
Primo
;
S. D’Amelio
Secondo
;
R. Molteni;M.G. Cattaneo
Ultimo
2025

Abstract

Major depressive disorder (MDD) is a widespread and disabling condition whose etiology and pathophysiology are not fully understood. Furthermore, pharmacological treatment of MDD poses challenging aspects, including delayed therapeutic effects, ineffectiveness against the so-called "residual symptoms", and a high proportion of non-responder patients. On these bases, it is crucial to recognize the key molecular systems and mechanisms involved in the pathophysiology of MDD in order to improve diagnostic tools and develop more effective pharmacological strategies. In this context, proteomics is a highly effective tool for simultaneously identifying and quantifying a large number of proteins within biological samples. This review will describe and discuss proteomic data from stress-based experimental models of MDD as well as from human brains and bodily fluids (e.g., cerebrospinal fluid and plasma), with the aim of elucidating the neurobiological counterparts of this psychiatric disorder. These findings will be summarized in an attempt to provide comprehensive maps of the biological systems involved in MDD, offering new insights into the molecular basis of different disease subtypes and paving the way to personalized diagnostic and treatment strategies.
No
English
major depressive disorder; proteomics; stress; animal models; human
Settore BIOS-11/A - Farmacologia
Review essay
Esperti anonimi
Pubblicazione scientifica
   Assegnazione Dipartimenti di Eccellenza 2023-2027 - Dipartimento di BIOTECNOLOGIE MEDICHE E MEDICINA TRASLAZIONALE
   DECC23_003
   MINISTERO DELL'UNIVERSITA' E DELLA RICERCA

   Piano di Sostegno alla Ricerca 2015-2017 - Linea 2 "Dotazione annuale per attività istituzionali" (anno 2022)
   UNIVERSITA' DEGLI STUDI DI MILANO

   Piano di Sostegno alla Ricerca 2015-2017 - Linea 2 "Dotazione annuale per attività istituzionali" (anno 2021)
   UNIVERSITA' DEGLI STUDI DI MILANO
dic-2025
Elsevier
255
102855
1
20
20
Pubblicato
Periodico con rilevanza internazionale
manual
Aderisco
info:eu-repo/semantics/article
The neurobiology of major depressive disorder: Updates and perspectives from proteomics / V. Spero, S. D’Amelio, S. Eligini, R. Molteni, C. Banfi, M.G. Cattaneo. - In: PROGRESS IN NEUROBIOLOGY. - ISSN 0301-0082. - 255:(2025 Dec), pp. 102855.1-102855.20. [10.1016/j.pneurobio.2025.102855]
open
Prodotti della ricerca::01 - Articolo su periodico
6
262
Article (author)
Periodico con Impact Factor
V. Spero, S. D’Amelio, S. Eligini, R. Molteni, C. Banfi, M.G. Cattaneo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1197756
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