Chinese Journal of Tissue Engineering Research ›› 2022, Vol. 26 ›› Issue (8): 1278-1285.doi: 10.12307/2022.236

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Inflammatory responses in post-stroke depression

Tang Wenjing1, Wu Siyuan1, Yang Chen1, Tao Xi1, 2   

  1. 1Department of Neurological Rehabilitation, the First Affiliated Hospital of Hunan Normal University, Changsha 410016, Hunan Province, China; 2Hunan Provincial Key Laboratory of Neurorestoratology, Hunan Normal University, Changsha 410003, Hunan Province, China
  • Received:2021-05-26 Revised:2021-05-27 Accepted:2021-07-10 Online:2022-03-18 Published:2021-11-02
  • Contact: Tao Xi, MD, Associate chief physician, Master’s supervisor, Department of Neurological Rehabilitation, the First Affiliated Hospital of Hunan Normal University, Changsha 410016, Hunan Province, China; Hunan Provincial Key Laboratory of Neurorestoratology, Hunan Normal University, Changsha 410003, Hunan Province, China
  • About author:Tang Wenjing, Master candidate, Department of Neurological Rehabilitation, the First Affiliated Hospital of Hunan Normal University, Changsha 410016, Hunan Province, China
  • Supported by:
    the Natural Science Foundation of Hunan Province, No. 2018JJ6104 (to TX); Scientific Research Project of Hunan Education Department, No. 20C1172 (to TX); Scientific Research Project of Hunan Health Committee, No. 20200176 (to TX)

Abstract: BACKGROUND: Post-stroke depression is a common complication of stroke, with complex pathophysiological mechanism. The theory of inflammatory response is currently a hot spot in relevant fields. Some inflammatory factors not only mediate the pathogenesis of post-stroke depression, but also play an important role in the diagnosis and prognosis of post-stroke depression.
OBJECTIVE: To summarize the role of different types of inflammatory factors in the pathophysiological mechanism and diagnosis of post-stroke depression, and put forward the possible application prospect.
METHODS: Databases of Wanfang, CNKI and PubMed were searched for relevant articles published from January 2010 to February 2021 with the key words of “post-stroke depression, depression or stroke, inflammation reaction, inflammatory factor, cytokine” in Chinese or English, respectively. A few classic early literatures were included. By reading the titles and abstracts, repetitive studies, low-quality or irrelevant literatures were excluded. Finally, 69 articles were included for review. 
RESULTS AND CONCLUSION: A total of 16 factors were screened out, which may be associated with post-stroke depression, including pro-inflammatory factors (interleukin-1β, interleukin-6, interleukin-8, interleukin-18, tumor necrosis factor-α, and interferon-γ), anti-inflammatory factors (interleukin-4, interleukin-10, and transforming growth factor-β1), and other nonspecific factors (C-reactive protein, neopterin, adiponectin, NLRP3 inflammasome, matrix metalloproteinase 9, growth differentiation factor-15, and serum amyloid A. Antagonizing the expression of pro-inflammatory factors or supplementing exogenous anti-inflammatory factors is beneficial to the relief of the symptoms of post-stroke depression, while anti-post-stroke depression treatment can cause changes of inflammatory factors in serum. Inflammatory factors participate in the occurrence and development of post-stroke depression by interacting with their own receptors, intracellular signaling pathways, neurotransmitters or hypothalamic-pituitary-adrenal axis. Detection of serum inflammatory markers or gene polymorphism has an important predictive value for the diagnosis of post-stroke depression. However, the related research is still very scattered, and there is a lack of systematic multi-level and high-quality research. The construction of standardized animal models of post-stroke depression is helpful to further explain its pathophysiological mechanism, and the multicenter and large sample longitudinal clinical research is conductive to establish a reliable prediction model of post-stroke depression.

Key words: post-stroke depression, depression, stroke, inflammatory response, pro-inflammatory factors, anti-inflammatory factors, mechanisms, biomarkers

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