Pharmacology, Diagnosis and Treatments of Psychiatric Diseases

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Medical Research".

Deadline for manuscript submissions: closed (26 August 2025) | Viewed by 1648

Special Issue Editors


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Guest Editor
1. Department of Neurosciences, Università Cattolica del Sacro Cuore, Rome, Italy
2. Unit of Psychiatry, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
Interests: mental health; neurobiology neuroscience; women's health; clinical trials; bipolar disorder; mood disorders translation science; research methods
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. Unit of Psychiatry, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Roma, Italy
2. Department of Neurosciences, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
Interests: mood; anxiety; psychotic and personality disorders; cardiovascular disorders; clinical psychopharmacology; psychiatric emergencies; pregnancy; femicide; interpersonal violence
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Psychiatric diseases, including disorders such as depression, schizophrenia, bipolar disorder, and anxiety, significantly impact patients’ quality of life and present complex challenges in treatment. Pharmacology plays a vital role in managing these conditions, with medications being tailored to modulate neurotransmitter activity, such as serotonin, dopamine, and norepinephrine, which are central in mood, perception, and cognition. Selective serotonin reuptake inhibitors (SSRIs), antipsychotics, mood stabilizers, and anxiolytics are common pharmacologic interventions used to balance neurotransmitter levels and alleviate symptoms.

The diagnosis of psychiatric disorders is primarily based on clinical assessments and standardized criteria from the DSM-5 (Diagnostic and Statistical Manual of Mental Disorders) and ICD-10 (International Classification of Diseases), as there are currently no definitive biomarkers for most conditions. Assessment tools help in evaluating symptom severity and guiding treatment plans.

Treatments are often multifaceted, combining medication with psychotherapy, cognitive behavioral therapy (CBT), and, in some cases, electroconvulsive therapy (ECT) for treatment-resistant cases. Recent advances in pharmacogenomics and neuroimaging hold promise in the development of more personalized treatment approaches, offering hope for improved patient outcomes in psychiatric care through tailored therapies based on individual genetic and neurobiological profiles.

Dr. Giuseppe Marano
Dr. Marianna Mazza
Guest Editors

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Keywords

  • mental health disorders
  • clinical psychology
  • psychopharmacology
  • treatment efficacy
  • neuroimaging techniques
  • personalized medicine
  • diagnosis

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Published Papers (1 paper)

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Review

18 pages, 632 KB  
Review
GLP-1 Receptor Agonists in Mood Disorders: A Psychiatric Perspective
by Pietro Carmellini, Alessandro Cuomo, Maria Beatrice Rescalli and Andrea Fagiolini
Life 2025, 15(9), 1422; https://doi.org/10.3390/life15091422 - 10 Sep 2025
Viewed by 1021
Abstract
Mood disorders, including major depressive disorder (MDD) and bipolar disorder (BD), are among the leading causes of disability worldwide and are frequently associated with treatment resistance, functional impairment, and high comorbidity with metabolic dysfunction. Increasing evidence implicates insulin resistance (IR) as a key [...] Read more.
Mood disorders, including major depressive disorder (MDD) and bipolar disorder (BD), are among the leading causes of disability worldwide and are frequently associated with treatment resistance, functional impairment, and high comorbidity with metabolic dysfunction. Increasing evidence implicates insulin resistance (IR) as a key pathophysiological factor linking metabolic and psychiatric illness. IR is associated with chronic low-grade inflammation, hypothalamic–pituitary–adrenal (HPA) axis dysregulation, impaired neuroplasticity, mitochondrial dysfunction, and altered reward processing mechanisms that may contribute to core depressive features such as anhedonia, cognitive slowing, and emotional dysregulation. These processes are further exacerbated by the metabolic side effects of many psychotropic medications, creating a self-perpetuating cycle that worsens both psychiatric and physical health outcomes. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs), initially developed for type 2 diabetes and obesity, have emerged as promising candidates to address this metabolic–psychiatric interface. Beyond improving glycemic control and promoting weight loss, GLP-1 RAs exert central actions relevant to mood disorders, including modulation of dopaminergic reward pathways, enhancement of hippocampal neurogenesis, attenuation of neuroinflammation, and regulation of appetite and energy balance. Preclinical studies demonstrate that GLP-1 RAs reduce microglial activation, promote hippocampal neurogenesis, and normalize stress-induced behavioral changes. Early clinical trials in patients with metabolic disorders suggest improvements in depressive symptoms, quality of life, and cognitive function, with some effects independent of weight loss or glycemic outcomes. Observational evidence also indicates reduced antidepressant use and psychological distress in diabetic and obese populations receiving GLP-1 RAs. While these findings are promising, large randomized controlled trials in primary psychiatric populations are lacking. Key challenges include clarifying dose–response relationships, disentangling central from peripheral effects, and addressing safety and adherence concerns in individuals with comorbid psychiatric conditions. Future research should focus on biomarker-informed stratification, comparative trials with standard treatments, and integration of GLP-1 RAs into multimodal care frameworks. Overall, GLP-1 RAs represent a biologically plausible and clinically relevant approach to bridging metabolic and psychiatric care, with the potential to improve outcomes in patients with mood disorders who carry a high metabolic burden. Full article
(This article belongs to the Special Issue Pharmacology, Diagnosis and Treatments of Psychiatric Diseases)
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