Towards a multidimensional model of inflamed depression.

Autor:	Wijaya MT; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong.; Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong., Jin RR; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong.; Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong., Liu X; CAS Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China.; Centre for Regenerative Medicine and Health, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong., Zhang R; Laboratory of Cognitive Control and Brain Healthy, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, China.; Department of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou, China., Lee TMC; State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong.; Laboratory of Neuropsychology and Human Neuroscience, The University of Hong Kong, Hong Kong.
Jazyk:	angličtina
Zdroj:	Brain, behavior, & immunity - health [Brain Behav Immun Health] 2022 Nov 20; Vol. 26, pp. 100564. Date of Electronic Publication: 2022 Nov 20 (Print Publication: 2022).
DOI:	10.1016/j.bbih.2022.100564
Abstrakt:	Major depressive disorder (MDD) continues to impose a significant burden on individuals and society. Existing data support the important role that inflammatory responses play in its pathophysiology, with new findings continuing to be reported. In this narrative review paper, we focus on three dimensions of inflamed depression: risk factors, clinical symptoms, and neurofunctional changes. We aim to answer the following questions: What characteristics most robustly discriminate between inflamed and non-inflamed depression? How can we leverage on these discriminative characteristics to classify inflamed depressed patients? One important point that has emerged is the heterogeneous nature of the relationship between inflammation and depression. Not all inflamed patients are depressed, and not all depressed patients are inflamed. Some risk factors heighten vulnerability to inflamed depression, including childhood adversity, old age, and being female. The inflamed depression subtype has been associated with distinct clinical phenotypes, most robustly with physical symptoms such as sleep problems, changes in appetite, and fatigue. Neurofunctional changes are found in the dopaminergic reward processing pathways. A better characterization of the inflamed depression subtype by leveraging multidimensional data will help craft a more precise treatment for these patients. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2022 The Authors.)
Databáze:	MEDLINE
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