Research progress of depression and pain comorbidity: Animal model, mechanism, treatment strategy

Pain and depression comorbidity refers to a clinical condition in which patients experience both pain and depressive disorders. This condition is characterized by a high prevalence and complex underlying mechanisms and profoundly affects patients' quality of life. However, challenges such as therapeutic complexity and poor prognosis remain in clinical practice. This review systematically summarizes research progress in this field, including the development of animal models, potential pathogenic mechanisms, and therapeutic strategies. The animal models discussed include complete Freund's adjuvant (CFA) models, reserpine models, nerve injury models, chronic stress models, and combined models, each of which has distinct advantages and limitations. Evidence suggests that pain and depression comorbidity is associated with multiple pathological mechanisms, including hypothalamic-pituitary-adrenal (HPA) axis dysfunction, neuroinflammatory activation, and neurotransmitter imbalance. Current clinical treatment primarily adopts an integrated approach combining pharmacological interventions, psychotherapy, and physical therapy. This review aims to deepen the understanding of the mechanisms underlying pain and depression comorbidity and provide a foundation for developing novel therapeutic strategies and clinical diagnostic approaches, thereby improving patients' quality of life and reducing the disease burden.

Authors

Institutions

Publication Details

Journal
Brain Research Bulletin
Published
2026-06-25
DOI
https://doi.org/10.1016/j.brainresbull.2026.112023
Primary Topic
Pain Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research progress of depression and pain comorbidity: Animal model, mechanism, treatment strategy

Shurong Wang, Qi Li, Xuping Yang, ZhongXiang Zhang et al.
Brain Research Bulletin
Pain Mechanisms and Treatments
article

Research progress of depression and pain comorbidity: Animal model, mechanism, treatment strategy

Shurong Wang, Qi Li, Xuping Yang, ZhongXiang Zhang, Liuyi Ren, Kun Tu, Jie Zhou, Longyang Jiang, Min Li
article en

Abstract

Pain and depression comorbidity refers to a clinical condition in which patients experience both pain and depressive disorders. This condition is characterized by a high prevalence and complex underlying mechanisms and profoundly affects patients' quality of life. However, challenges such as therapeutic complexity and poor prognosis remain in clinical practice. This review systematically summarizes research progress in this field, including the development of animal models, potential pathogenic mechanisms, and therapeutic strategies. The animal models discussed include complete Freund's adjuvant (CFA) models, reserpine models, nerve injury models, chronic stress models, and combined models, each of which has distinct advantages and limitations. Evidence suggests that pain and depression comorbidity is associated with multiple pathological mechanisms, including hypothalamic-pituitary-adrenal (HPA) axis dysfunction, neuroinflammatory activation, and neurotransmitter imbalance. Current clinical treatment primarily adopts an integrated approach combining pharmacological interventions, psychotherapy, and physical therapy. This review aims to deepen the understanding of the mechanisms underlying pain and depression comorbidity and provide a foundation for developing novel therapeutic strategies and clinical diagnostic approaches, thereby improving patients' quality of life and reducing the disease burden.

Brain Research BulletinVol. 243
Southwest Medical University (CN), Affiliated Hospital of Southwest Medical University (CN)
Openalex Percentile: Top 7%
Pain Mechanisms and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.