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Weng S, Zheng R, Lin R. Correlation of Serum High-Sensitivity C-Reactive Protein, Homocysteine, and Macrophage Migration Inhibitory Factor Levels With Symptom Severity and Cognitive Function in Patients With Schizophrenia. Clin Neuropharmacol 2024; 47:82-86. [PMID: 38743601 DOI: 10.1097/wnf.0000000000000594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
OBJECTIVE This trial analyzed high-sensitivity C-reactive protein (hs-CRP), homocysteine (Hcy), and macrophage migration inhibitory factor (MIF) level in serum and their correlation with symptom severity and cognitive function in patients with schizophrenia (SP). METHODS Sixty-eight SP patients were enrolled in the SP group, and 68 healthy volunteers were in the control (CN) group. Serum hs-CRP, Hcy, and MIF were measured, and symptom severity was assessed with the Positive and Negative Symptom Scale (PANSS). Cognitive function was determined with the MATRICS Consensus Cognitive Battery (MCCB). The SP group was divided into high PANSS score (PANSS ≥70 points) and low PANSS score (PANSS <70 points), or the mild cognitive dysfunction group and severe cognitive dysfunction group according to the median MCCB score. The correlation between serum hs-CRP, Hcy, and MIF levels and PANSS and MCCB scores in SP patients was examined by Pearson correlation analysis. RESULTS SP patients had higher serum hs-CRP, Hcy, and MIF levels and showed higher PANSS scores and lower MCCB total score. Serum hs-CRP, Hcy, and MIF levels in the high PANSS group were higher than those in the low PANSS group and in the severe cognitive dysfunction group than in the mild cognitive dysfunction group. Serum hs-CRP, Hcy, and MIF levels in SP patients were positively correlated with PANSS total score and negatively correlated with MCCB total score. CONCLUSION High serum hs-CRP, Hcy, and MIF levels in SP patients are correlated with symptom severity and cognitive dysfunction.
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Affiliation(s)
- Saizheng Weng
- Psychiatry Department, Neuropsychiatric Hospital Affiliated to Fujian Medical University, Fuzhou City, Fujian Province, China
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Kushwaha A, Basera DS, Kumari S, Sutar RF, Singh V, Das S, Agrawal A. Assessment of memory deficits in psychiatric disorders: A systematic literature review. J Neurosci Rural Pract 2024; 15:182-193. [PMID: 38746499 PMCID: PMC11090569 DOI: 10.25259/jnrp_456_2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 12/12/2023] [Indexed: 05/16/2024] Open
Abstract
Memory deficits are observed across psychiatric disorders ranging from the prodrome of psychosis to common mental disorders such as anxiety, depression, and dissociative disorders. Memory deficits among patients recovering from psychiatric disorders could be directly related to the primary illness or secondary to the adverse effect of a treatment such as Electroconvulsive Therapy (ECT). The trouble in the meaningful integration of working-memory and episodic memory is the most commonly affected domain that requires routine assessments. An update on the recent trends of methods of assessment of memory deficits is the first step towards understanding and correcting these deficits to target optimum recovery. A systematic literature search was conducted from October 2018 to October 2022 to review the recent methods of assessment of memory deficits in psychiatric disorders. The definition of 'Memory deficit' was operationalized as 'selective processes of memory, commonly required for activities of daily living, and affected among psychiatric disorders resulting in subjective distress and dysfunction'. We included 110 studies, most of them being conducted in western countries on patients with schizophrenia. Other disorders included dementia and mild cognitive impairment. Brief Assessment of Cognition in Schizophrenia, Cambridge Automated Neuropsychological Test Battery, California Verbal Learning Test, Trail Making Test Part A and B, Rey Auditory Verbal Learning Test, Wechsler Memory Scale, Wechsler Adults Intelligence Scale-IV were the most common neuropsychological assessments used. Mini-Mental State Examination and Montreal Cognitive Assessment were the most common bedside assessment tools used while Squire Subjective Memory Questionnaire was commonly used to measure ECT-related memory deficits. The review highlights the recent developments in the field of assessment of memory deficits in psychiatric disorders. Findings recommend and emphasize routine assessment of memory deficits among psychiatric disorders in developing countries especially severe mental illnesses. It remains interesting to see the role of standardized assessments in diagnostic systems given more than a decade of research on memory deficits in psychiatric disorders.
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Affiliation(s)
- Anuradha Kushwaha
- Department of Psychiatry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Devendra Singh Basera
- Department of Psychiatry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Sangita Kumari
- Department of Psychiatry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Roshan Fakirchand Sutar
- Department of Psychiatry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Vijender Singh
- Department of Psychiatry, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Saikat Das
- Department of Radiotherapy, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Amit Agrawal
- Department of Neurosurgery, All India Institute of Medical Sciences, Bhopal, Madhya Pradesh, India
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Sun B, Cao X, Xin M, Guan R. Treatment of Depression with Acupuncture Based on Pathophysiological Mechanism. Int J Gen Med 2024; 17:347-357. [PMID: 38314195 PMCID: PMC10838506 DOI: 10.2147/ijgm.s448031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 01/21/2024] [Indexed: 02/06/2024] Open
Abstract
Depression is a prevalent mental disorder and has a profound impact on an individual's psychological and physical well-being. It is characterized by a persistently depressed mood, loss of interest, energy loss, and cognitive dysfunction. In recent years, more and more people have changed to mental diseases, such as depression, anxiety, mania and so on. In the incidence of depression, covering all ages, but still mainly young and middle-aged women. Traditional treatments for depression mainly rely on medication and psychotherapy, but these methods are not effective for all patients and are often accompanied by certain side effects. Therefore, finding safe and effective alternative or adjuvant treatments has become a priority. Here we highlight the research progress of acupuncture in the treatment of depression and to explore the mechanism of acupuncture in the treatment of depression. Acupuncture treatment of depression is an ancient and effective method, the mechanism involves multiple biological pathways, for example, by regulating neurotransmitter levels, regulating the neuroendocrine axis, improving neuroplasticity, anti-inflammatory and other effects, improving emotional state and play an antidepressant role. To provide evidence to support the widespread use of acupuncture in clinical practice. We hope to provide new treatment ideas and methods for patients with depression, and even reduce the incidence of depression.
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Affiliation(s)
- Bo Sun
- Neurology Department, The 962nd Hospital of the PLA Joint Logistic Support Force, Harbin, People’s Republic of China
| | - Xuewei Cao
- Cardiopulmonary Department, Jiamusi Hospital of Traditional Chinese Medicine, Harbin, People’s Republic of China
| | - Ming Xin
- Neurology Department, Xin Wanhe Acupuncture Clinic, Harbin, People’s Republic of China
| | - Ruiqian Guan
- Massage Department, The Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, People’s Republic of China
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Zhuo C, Hu S, Chen G, Yang L, Cai Z, Tian H, Jiang D, Chen C, Wang L, Ma X, Li R. Low-dose lithium adjunct to atypical antipsychotic treatment nearly improved cognitive impairment, deteriorated the gray-matter volume, and decreased the interleukin-6 level in drug-naive patients with first schizophrenia symptoms: a follow-up pilot study. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:71. [PMID: 37838729 PMCID: PMC10576794 DOI: 10.1038/s41537-023-00400-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 10/02/2023] [Indexed: 10/16/2023]
Abstract
This study was conducted to investigate the effects of long-term low-dose lithium adjunct to antipsychotic agent use on the cognitive performance, whole-brain gray-matter volume (GMV), and interleukin-6 (IL-6) level in drug-naive patients with first-episode schizophrenia, and to examine relationships among these factors. In this double-blind randomized controlled study, 50 drug-naive patients with first-episode schizophrenia each took low-dose (250 mg/day) lithium and placebo (of the same shape and taste) adjunct to antipsychotic agents (mean, 644.70 ± 105.58 and 677.00 ± 143.33 mg/day chlorpromazine equivalent, respectively) for 24 weeks. At baseline and after treatment completion, the MATRICS Consensus Cognitive Battery (MCCB) was used to assess cognitive performance, 3-T magnetic resonance imaging was performed to assess structural brain alterations, and serum IL-6 levels were quantified by immunoassay. Treatment effects were assessed within and between patient groups. Relationships among cognitive performance, whole-brain GMVs, and the IL-6 level were investigated by partial correlation analysis. Relative to baseline, patients in the lithium group showed improved working memory, verbal learning, processing speed, and reasoning/problem solving after 24 weeks of treatment; those in the placebo group showed only improved working memory and verbal learning. The composite MCCB score did not differ significantly between groups. The whole-brain GMV reduction was significantly lesser in the lithium group than in the placebo group (0.46% vs. 1.03%; P < 0.001). The GMV and IL-6 reduction ratios correlated with each other in both groups (r = -0.17, P = 0.025). In the lithium group, the whole-brain GMV reduction ratio correlated with the working memory improvement ratio (r = -0.15, P = 0.030) and processing speed (r = -0.14, P = 0.036); the IL-6 reduction ratio correlated with the working memory (r = -0.21, P = 0.043) and verbal learning (r = -0.30, P = 0.031) improvement ratios. In the placebo group, the whole-brain GMV reduction ratio correlated only with the working memory improvement ratio (r = -0.24, P = 0.019); the IL-6 reduction ratio correlated with the working memory (r = -0.17, P = 0.022) and verbal learning (r = -0.15, P = 0.011) improvement ratios. Both treatments implemented in this study nearly improved the cognitive performance of patients with schizophrenia; relative to placebo, low-dose lithium had slightly greater effects on several aspects of cognition. The patterns of correlation among GMV reduction, IL-6 reduction, and cognitive performance improvement differed between groups.
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Affiliation(s)
- Chuanjun Zhuo
- Key Laboratory of Sensor Information Processing Abnormalities in Schizophrenia (SIPAS-Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated Tianjin Fourth Center Hospital, Tianjin, 300140, China.
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, Wenzhou, 325000, China.
- Laboratory of Psychiatric-Neuroimaging-Genetic and Co-morbidity (PNGC_Lab), Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, 300222, China.
| | - Shuiqing Hu
- Key Laboratory of Sensor Information Processing Abnormalities in Schizophrenia (SIPAS-Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated Tianjin Fourth Center Hospital, Tianjin, 300140, China
| | - Guangdong Chen
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, Wenzhou, 325000, China
| | - Lei Yang
- Key Laboratory of Sensor Information Processing Abnormalities in Schizophrenia (SIPAS-Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated Tianjin Fourth Center Hospital, Tianjin, 300140, China
| | - Ziyao Cai
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, Wenzhou, 325000, China
| | - Hongjun Tian
- Key Laboratory of Sensor Information Processing Abnormalities in Schizophrenia (SIPAS-Lab), Tianjin Fourth Center Hospital, Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Medical University Affiliated Tianjin Fourth Center Hospital, Tianjin, 300140, China
| | - Deguo Jiang
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, Wenzhou, 325000, China
| | - Chunmian Chen
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, Wenzhou, 325000, China
| | - Lina Wang
- Laboratory of Psychiatric-Neuroimaging-Genetic and Co-morbidity (PNGC_Lab), Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, 300222, China
| | - Xiaoyan Ma
- Laboratory of Psychiatric-Neuroimaging-Genetic and Co-morbidity (PNGC_Lab), Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, 300222, China
| | - Ranli Li
- Laboratory of Psychiatric-Neuroimaging-Genetic and Co-morbidity (PNGC_Lab), Nankai University Affiliated Tianjin Anding Hospital, Tianjin Medical University Affiliated Tianjin Anding Hospital, Tianjin Mental Health Center of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, 300222, China
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Li M, Luo G, Qiu Y, Zhang X, Sun X, Li Y, Zhao Y, Sun W, Yang S, Li J. Negative symptoms and neurocognition in drug-naïve schizophrenia: moderating role of plasma neutrophil gelatinase-associated lipocalin (NGAL) and interferon-gamma (INF-γ). Eur Arch Psychiatry Clin Neurosci 2023:10.1007/s00406-023-01650-6. [PMID: 37490111 DOI: 10.1007/s00406-023-01650-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 07/07/2023] [Indexed: 07/26/2023]
Abstract
Previous studies reported that peripheral inflammation was associated with cognitive performance and brain structure in schizophrenia. However, the moderating effect of inflammation has not been extensively studied. This study investigated whether inflammation markers moderated the association between negative symptoms and neurocognition in schizophrenia. This cross-sectional study included 137 drug-naïve schizophrenia patients (DNS) and 67 healthy controls (HC). We performed the Measurements and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) for cognitive assessment and the Positive and Negative Syndrome Scale (PANSS) for psychiatric symptoms. Plasma concentrations of interferon-gamma (IFN-γ), neutrophil gelatinase-associated lipocalin (NGAL), and nuclear factor kappa B (NF-κB) were measured. The MCCB neurocognition score, social cognition score, and total score; the plasma concentrations of NGAL, IFN-γ, and NF-κB were significantly decreased in DNS than in HC (all P's < 0.001). PANSS negative subscale (PNS), PANSS reduced expressive subdomain (RES) negatively correlated with neurocognition score (P = 0.007; P = 0.011, respectively). Plasma concentrations of IFN-γ and NGAL positively correlated with neurocognition score (P = 0.043; P = 0.008, relatively). The interactions of PNS × NGAL; PNS × IFN-γ; RES × IFN-γ accounted for significant neurocognition variance (P = 0.025; P = 0.029, P = 0.007, respectively). Simple slope analysis showed that all the above moderating effects only occurred in patients with near normal IFN-γ and NGAL levels. Plasma concentrations of IFN-γ and NGAL moderated the relationship between negative symptoms (especially RES) and neurocognition in schizophrenia. Treatment targeting inflammation may contribute to neurocognition improvement in schizophrenia.
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Affiliation(s)
- Meijuan Li
- Tianjin Mental Health Institute, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Guoshuai Luo
- Tianjin Mental Health Institute, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Yuying Qiu
- Tianjin Mental Health Institute, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Xue Zhang
- Tianjin Mental Health Institute, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
- Chifeng Anding Hospital, Chifeng, China
| | - Xiaoxiao Sun
- Tianjin Mental Health Institute, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Yanzhe Li
- Tianjin Mental Health Institute, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Yongping Zhao
- Tianjin Mental Health Institute, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Wei Sun
- Tianjin Mental Health Institute, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Shu Yang
- Tianjin Mental Health Institute, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Jie Li
- Tianjin Mental Health Institute, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China.
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