Neuroinflammation in Depressive and Related Common Mental Disorders (CMD)

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neuropsychology".

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 2255

Special Issue Editor


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Guest Editor
Harvard Medical School, Boston, MA, USA
Interests: immune/endocrine markers; common mental disorders (CMD); cognitive functioning; precision psychiatry

Special Issue Information

Dear Colleagues,

The prolonged COVID-19 pandemic has shed light on the crucial role of immune and endocrine markers in depression and related common mental disorders (CMD). Scar theories posit and show that elevated transdiagnostic CMD symptoms (e.g., worry) could lead to increased endocrine dysfunction and inflammation via chronic, stress-induced, wear-and-tear of the hypothalamic–pituitary–adrenal (HPA) axis and related physiological systems. Simultaneously, vulnerability theories propose and show that increased inflammation and endocrine dysfunction predict worse CMD symptoms (e.g., depression, anxiety, post-traumatic stress) in children, adolescents, and adults. Despite the progress on this topic to date, the moderators and potential mediators of the bidirectional links between immune or endocrine dysfunction and CMD remain open to inquiry.

Our Special Issue thus aims to enhance understanding of the potential biopsychosocial and neural mediators of CMD–immune and endocrine dysfunction relations, and for whom these relations tend to occur more strongly.

We seek in-depth analyses of theories that propose that endocrine, proinflammatory proteins, and related substrates are notably linked to CMD symptoms, especially for populations vulnerable to heightened, chronic, and long-term exposure to stressors. Further, we determine if scarring, vulnerability, and correlational processes occur via perseverative cognitions (cf. immunocognitive model of psychopathology), emotion regulation, and related factors. To this end, these efforts may optimize depression and related CMD therapies based on immune and endocrine profiles (cf. precision psychiatry).

In sum, our Special Issue aims to solicit papers that relay an overview or critical evaluation of the transdiagnostic role of immune and endocrine markers in depression and related CMD consistent with the following themes: (1) neuroimaging and prospective studies on the mediators of relations between CMD and immune/endocrine markers; (2) moderator analyses identifying for whom relations between CMD and immune or endocrine markers occur more strongly by examining biopsychosocial moderators; and (3) description of clinical applications of current immunopsychiatry and psychoneuroendocrinology theories to optimize cognitive-behavioral and related therapies.

Dr. Nur Hani Zainal
Guest Editor

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Keywords

  • inflammation
  • endocrine
  • neural correlates
  • depression
  • common mental disorders
  • risk/vulnerability factors
  • cognitive functioning
  • health psychology
  • biological psychiatry
  • emotion regulation

Published Papers (1 paper)

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Research

11 pages, 904 KiB  
Article
Risk Factor Analysis and a Predictive Model of Postoperative Depressive Symptoms in Elderly Patients Undergoing Video-Assisted Thoracoscopic Surgery
by Dinghao Xue, Xu Guo, Yanxiang Li, Zhuoqi Sheng, Long Wang, Luyu Liu, Jiangbei Cao, Yanhong Liu, Jingsheng Lou, Hao Li, Xinyu Hao, Zhikang Zhou and Qiang Fu
Brain Sci. 2023, 13(4), 646; https://doi.org/10.3390/brainsci13040646 - 11 Apr 2023
Cited by 2 | Viewed by 1654
Abstract
Among the elderly, depression is one of the most common mental disorders, which seriously affects their physical and mental health and quality of life, and their suicide rate is particularly high. Depression in the elderly is strongly associated with surgery. In this study, [...] Read more.
Among the elderly, depression is one of the most common mental disorders, which seriously affects their physical and mental health and quality of life, and their suicide rate is particularly high. Depression in the elderly is strongly associated with surgery. In this study, we aimed to explore the risk factors and establish a predictive model of depressive symptoms 1 month after video-assisted thoracoscopic surgery (VATS) in elderly patients. The study participants included 272 elderly patients (age > 65 years) undergoing VATS from April 2020 to May 2021 at 1 of 18 medical centers in China. The patients were divided into a depression group and a nondepression group according to the Chinese version of the nine-item Patient Health Questionnaire (PHQ-9). The patients’ pre- and postoperative characteristics and questionnaires were collected and compared. Then, binary logistic regression was used to determine the risk factors that affect postoperative depressive symptoms, and the predictive model was constructed. The prediction efficiency of the model was evaluated by drawing the receiver operating characteristic curve (ROC), and the area under the curve (AUC) was calculated to evaluate the value of the predictive model. Among all of the included patients, 16.54% (45/272) suffered from depressive symptoms after VATS. The results of the univariate analysis showed that body mass index (BMI), chronic pain, leukocyte count, fibrinogen levels, prothrombin time, ASA physical status, infusion volume, anxiety, sleep quality, and postoperative pain were related to postoperative depressive symptoms (all p < 0.05). The results of multivariate logistic regression analysis showed that a high fibrinogen level (OR = 2.42), postoperative anxiety (OR = 12.05), poor sleep quality (OR = 0.61), and pain (OR = 2.85) were risk factors of postoperative depressive symptoms. A predictive model was constructed according to the regression coefficient of each variable, the ROC curve was drawn, and the AUC value was calculated to be 0.889. The prediction model may help medical personnel identify older patients at risk of developing depressive disorders associated with VATS and may be useful for clinical purposes. Full article
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