Study Points to Metabolic Health as a Key Factor in Mood Disorders
en-GBde-DEes-ESfr-FR

Study Points to Metabolic Health as a Key Factor in Mood Disorders

11/05/2026 Elsevier

Research in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging links insulin resistance and leptin dysregulation to cognitive impairment in bipolar disorder, highlighting the potential of targeted clinical pathways

May 11, 2026 While they share similar depressive and cognitive symptoms, the biological underpinnings of bipolar disorder and major depressive disorder are distinct. A novel study appearing in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, published by Elsevier, is the first to identify clinically relevant pathways linking metabolic dysfunction, brain structure, and cognition in mood disorders, with stronger and more specific effects observed in bipolar disorder. It highlights the potential of targeting metabolic pathways to improve cognitive symptoms in bipolar disorder.

Major depressive disorder and bipolar disorder are disabling psychiatric conditions, significantly impairing mood regulation and biological rhythms. Even when a person’s mood is stable, persistent challenges with memory and focus make it hard to function in everyday life. Increasing evidence suggests a strong link between mood disorders and metabolic dysfunction. Conditions such as obesity, diabetes, and insulin resistance are associated with a higher risk of depression, and vice versa.

“Mood disorders are highly heterogeneous, which often delays diagnosis and effective treatment, highlighting the need for more targeted approaches,” explains lead investigator Elena Mazza, PhD, Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milan, Italy. “In a cohort of 78 patients with major depressive disorder and 81 with bipolar disorder, we investigated how insulin resistance and related hormones are associated with brain structure and clinical outcomes, with a particular focus on cognitive function, given the critical role of insulin in neuronal communication, learning, and memory.”

Researchers combined metabolic biomarkers, structural brain imaging, and cognitive assessments to examine how metabolic dysfunction relates to brain structure and cognition. They applied a multivariate statistical approach to investigate these relationships and to assess whether they differed between diagnoses.

Patients with bipolar disorder were found to exhibit a more severe metabolic profile, characterized by insulin resistance and leptin dysregulation, likely reflecting a more severe illness course, as greater illness burden—specifically a higher number of mood and manic episodes—was associated with worse metabolic dysfunction and lifetime burden of illness.

Investigators found that metabolic alterations like insulin resistance are associated with cognitive deficits, potentially through their impact on gray matter volume in key brain regions involved in cognitive functioning and are linked to poorer performance in memory, attention, and executive function. Notably, these associations were observed only in bipolar disorder, suggesting that insulin and leptin resistance may play a key role in linking metabolic dysfunction to cognitive impairment by promoting inflammatory and neurotoxic processes that affect brain structure, particularly in regions supporting cognition.

Editor-in-Chief of Biological Psychiatry: Cognitive Neuroscience and Neuroimaging Cameron S. Carter, MD, University of California Irvine School of Medicine, comments, “Interestingly, the effects of metabolic dysfunction on clinical and neural outcomes were primarily observed in bipolar disorder. These findings could be consistent with a neuroprogressive model of bipolar disorder, in which repeated episodes may drive not only clinical worsening but also cumulative metabolic and neurobiological changes. This highlights the importance of early and effective intervention to prevent both clinical deterioration and its associated biological consequences.”

The study’s findings point towards a previously unknown, clinically meaningful pathway linking metabolic dysfunction to cognitive impairment in bipolar disorder through its impact on brain structure.

“Beyond traditional antidepressant treatments, interventions aimed at enhancing insulin sensitivity—such as insulin-sensitizing agents or intranasal insulin—have already shown promising cognitive benefits,” notes lead author Laura Raffaelli, PhD candidate, Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Ospedale San Raffaele, and Vita-Salute San Raffaele University, Milan, Italy. “More recently, GLP-1 receptor agonists, currently used for metabolic conditions, have gained attention for their potential positive effects on both mood and cognition, representing a promising avenue for future therapeutic development.”

Dr. Mazza concludes, “Our findings highlight that metabolic health is not just a peripheral concern, but a key factor influencing brain structure and cognitive functioning in mood disorders. The results of our study help explain why cognitive symptoms often persist even when mood symptoms improve, underscoring the complex interplay between brain and metabolic health. By clarifying these mechanisms, our study opens the door to more personalized treatment strategies that integrate metabolic and psychiatric care.”

"Insulin Resistance and Leptin Dysregulation Impact In Vivo Brain Structure and Cognitive Functioning in Mood Disorders: A Multimodal Partial Least Squares Path Modeling Study," by Laura Raffaelli, Mariagrazia Palladini, Marco Paolini, Sara Poletti, Cristina Lorenzi, Rosa Decorato, Matteo Carminati, Cristina Colombo, Raffaella Zanardi, Francesco Benedetti, and Elena Mazza (https://doi.org/10.1016/j.bpsc.2026.02.003). It appears online in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, published by Elsevier. The article is openly available for 60 days at https://www.biologicalpsychiatrycnni.org/article/S2451-9022(26)00047-9/fulltext.

Fichiers joints
  • Graphical representation of how metabolism, brain structure (gray matter volume, GMV), and cognitive abilities are significantly related in the bipolar disorder group. (A) The main diagram shows how these three domains are connected: thicker lines indicate stronger and more reliable relationships. The side panels highlight the biological markers that contribute most strongly to metabolism (B), the cognitive domains that weigh most on overall cognitive performance (C), and the brain regions that contribute most to gray matter volume (top 20) (D). (Credit: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging / Raffaelli et al.)
11/05/2026 Elsevier
Regions: Europe, Netherlands, Italy
Keywords: Health, Medical, Well being, Society, Psychology, Science, Life Sciences

Disclaimer: AlphaGalileo is not responsible for the accuracy of content posted to AlphaGalileo by contributing institutions or for the use of any information through the AlphaGalileo system.

Témoignages

We have used AlphaGalileo since its foundation but frankly we need it more than ever now to ensure our research news is heard across Europe, Asia and North America. As one of the UK’s leading research universities we want to continue to work with other outstanding researchers in Europe. AlphaGalileo helps us to continue to bring our research story to them and the rest of the world.
Peter Dunn, Director of Press and Media Relations at the University of Warwick
AlphaGalileo has helped us more than double our reach at SciDev.Net. The service has enabled our journalists around the world to reach the mainstream media with articles about the impact of science on people in low- and middle-income countries, leading to big increases in the number of SciDev.Net articles that have been republished.
Ben Deighton, SciDevNet
AlphaGalileo is a great source of global research news. I use it regularly.
Robert Lee Hotz, LA Times

Nous travaillons en étroite collaboration avec...


  • The Research Council of Norway
  • SciDevNet
  • Swiss National Science Foundation
  • iesResearch
Copyright 2026 by DNN Corp Terms Of Use Privacy Statement