1.Advances in the role of circadian clock genes between circadian rhythms and depression
Keyi WEN ; Yunyan ZHANG ; Fangyi WANG ; Ying ZHOU ; Xiangyu LI ; Linglu MA ; Yutong WANG ; Yixiao FU
Chinese Journal of Nervous and Mental Diseases 2025;51(9):565-570
Depression and circadian rhythms exhibit bidirectional interactions,suggesting a close association with the biological clock system.The biological clock in the suprachiasmatic nucleus of the hypothalamus is regulated by circadian genes.Recent clinical and basic research has revealed multifaceted associations between depression and circadian genes.For instance,significant phase abnormalities in BMAL1,PER2,and PER3 were detected in brain tissue from depressed patients,while plasma levels of CRY1,ARNTL,and PER1 proteins showed marked reduction,demonstrating good diagnostic value.Mice with CLOCK and BMAL1 knockouts exhibited depression-like behaviors.Single nucleotide polymorphisms(SNPs)in genes such as PER1 and PER3 directly influence depression susceptibility.Methylation levels of BMAL1,PER3,and CLOCK genes correlate closely with depressive symptoms.Antidepressant mechanisms like ketamine exert their effects by downregulating PER2 and other genes.This review summarizes the differential expression patterns of circadian clock genes in depression and associated therapeutic approaches,aiming to provide new theoretical foundations for precision diagnosis and personalized treatment strategies for depression.
2.Advances in acupuncture interventions for depression caused by chronic pain
Fangyi HOU ; Xizhen ZHANG ; Zifa LI ; Hao ZHANG ; Minghui HU ; Lidan WU ; Xiwen GENG ; Xinyu WANG ; Sheng WEI
Acta Laboratorium Animalis Scientia Sinica 2025;33(7):1064-1072
Chronic pain causes physical suffering and can have major psychological impacts in patients.Chronic pain can induce depressive disorder,and clinical studies have consistently shown that chronic pain and depression frequently co-occur,suggesting the possibility of shared pathogenic mechanisms underlying these conditions.Acupuncture,as an alternative therapy,has been widely used for analgesia and to treat depression,with demonstrated clinical efficacy.The therapeutic mechanism of acupuncture is related to neural and endocrine regulation.This review considers the mechanism of chronic pain accompanied by depression,in relation to the brain regions and neural circuits affected by acupuncture treatment.This review provides a new approach for the treatment of depression caused by chronic pain.
3.Advances in the role of circadian clock genes between circadian rhythms and depression
Keyi WEN ; Yunyan ZHANG ; Fangyi WANG ; Ying ZHOU ; Xiangyu LI ; Linglu MA ; Yutong WANG ; Yixiao FU
Chinese Journal of Nervous and Mental Diseases 2025;51(9):565-570
Depression and circadian rhythms exhibit bidirectional interactions,suggesting a close association with the biological clock system.The biological clock in the suprachiasmatic nucleus of the hypothalamus is regulated by circadian genes.Recent clinical and basic research has revealed multifaceted associations between depression and circadian genes.For instance,significant phase abnormalities in BMAL1,PER2,and PER3 were detected in brain tissue from depressed patients,while plasma levels of CRY1,ARNTL,and PER1 proteins showed marked reduction,demonstrating good diagnostic value.Mice with CLOCK and BMAL1 knockouts exhibited depression-like behaviors.Single nucleotide polymorphisms(SNPs)in genes such as PER1 and PER3 directly influence depression susceptibility.Methylation levels of BMAL1,PER3,and CLOCK genes correlate closely with depressive symptoms.Antidepressant mechanisms like ketamine exert their effects by downregulating PER2 and other genes.This review summarizes the differential expression patterns of circadian clock genes in depression and associated therapeutic approaches,aiming to provide new theoretical foundations for precision diagnosis and personalized treatment strategies for depression.
4.Advances in acupuncture interventions for depression caused by chronic pain
Fangyi HOU ; Xizhen ZHANG ; Zifa LI ; Hao ZHANG ; Minghui HU ; Lidan WU ; Xiwen GENG ; Xinyu WANG ; Sheng WEI
Acta Laboratorium Animalis Scientia Sinica 2025;33(7):1064-1072
Chronic pain causes physical suffering and can have major psychological impacts in patients.Chronic pain can induce depressive disorder,and clinical studies have consistently shown that chronic pain and depression frequently co-occur,suggesting the possibility of shared pathogenic mechanisms underlying these conditions.Acupuncture,as an alternative therapy,has been widely used for analgesia and to treat depression,with demonstrated clinical efficacy.The therapeutic mechanism of acupuncture is related to neural and endocrine regulation.This review considers the mechanism of chronic pain accompanied by depression,in relation to the brain regions and neural circuits affected by acupuncture treatment.This review provides a new approach for the treatment of depression caused by chronic pain.
5.Correlation Between Cognitive Function and Medication Compliance in Patients with Type 2 Diabetes Mellitus
Beibei ZHAI ; Zhou ZHANG ; Sijue YANG ; Fangyi LI ; Wenhui ZHU ; Yan BI
Herald of Medicine 2025;44(6):949-954
Objective To investigate the correlation between cognitive function and medication compliance in patients with type 2 diabetes mellitus(T2DM).Methods Patients with T2DM who were admitted to the Department of Endocrinology,Drum Tower Hospital,Nanjing University School of Medicine from July 2023 to December 2023 were selected.The clinical data and laboratory results of the patients were collected.The medication compliance of the patients was evaluated by Adherence to Refills and Medications Scales(ARMS).And the overall cognitive function and independent cognitive domain tests were performed.According to the diagnostic criteria of mild cognitive impairment(MCI),patients were divided into normal cognitive group and MCI group.Linear regression analysis was used to evaluate the correlation between cognitive function and medication compliance in T2DM patients.Multivariate logistic regression analysis was used to explore the relationship between cognitive dysfunction and poor medication compliance in T2DM patients.Results A total of 216 patients with T2DM were enrolled,including 113 patients with normal cognitive function and 103 patients with MCI.The ARMS score(16.4±4.1 vs.15.1±2.8)and the rate of poor medication compliance(54.4%vs.31.0%)in the MCI group were higher than those in the normal cognitive group(all P<0.05).After adjusting for gender,age,years of education and glycosylated hemoglobin,ARMS scores were significantly negatively correlated with immediate memory,attention and delayed memory scores(all P<0.05).Multivariate logistic regression analysis showed that patients with MCI had a higher risk of poor medication adherence[OR=2.645,95%CI=(1.414,4.946),P<0.001].Conclusions Poor cognitive function,especially memory and concentration,is associated with reduced medication compliance in patients with T2DM.Patients with memory and attention problems should be given appropriate medication advice to improve their compliance in clinical practice.
6.Correlation Between Cognitive Function and Medication Compliance in Patients with Type 2 Diabetes Mellitus
Beibei ZHAI ; Zhou ZHANG ; Sijue YANG ; Fangyi LI ; Wenhui ZHU ; Yan BI
Herald of Medicine 2025;44(6):949-954
Objective To investigate the correlation between cognitive function and medication compliance in patients with type 2 diabetes mellitus(T2DM).Methods Patients with T2DM who were admitted to the Department of Endocrinology,Drum Tower Hospital,Nanjing University School of Medicine from July 2023 to December 2023 were selected.The clinical data and laboratory results of the patients were collected.The medication compliance of the patients was evaluated by Adherence to Refills and Medications Scales(ARMS).And the overall cognitive function and independent cognitive domain tests were performed.According to the diagnostic criteria of mild cognitive impairment(MCI),patients were divided into normal cognitive group and MCI group.Linear regression analysis was used to evaluate the correlation between cognitive function and medication compliance in T2DM patients.Multivariate logistic regression analysis was used to explore the relationship between cognitive dysfunction and poor medication compliance in T2DM patients.Results A total of 216 patients with T2DM were enrolled,including 113 patients with normal cognitive function and 103 patients with MCI.The ARMS score(16.4±4.1 vs.15.1±2.8)and the rate of poor medication compliance(54.4%vs.31.0%)in the MCI group were higher than those in the normal cognitive group(all P<0.05).After adjusting for gender,age,years of education and glycosylated hemoglobin,ARMS scores were significantly negatively correlated with immediate memory,attention and delayed memory scores(all P<0.05).Multivariate logistic regression analysis showed that patients with MCI had a higher risk of poor medication adherence[OR=2.645,95%CI=(1.414,4.946),P<0.001].Conclusions Poor cognitive function,especially memory and concentration,is associated with reduced medication compliance in patients with T2DM.Patients with memory and attention problems should be given appropriate medication advice to improve their compliance in clinical practice.
7.Consensus on diagnosis and treatment of adolescent idiopathic scoliosis
Yushu BAI ; Kai CHEN ; Jie SHAO ; Xiao ZHAI ; Ming CHEN ; Weishi LI ; Jianzhong XU ; Bangping QIAN ; Zezhang ZHU ; Feng ZHU ; Chunde LI ; Jianguo ZHANG ; Jianxiong SHEN ; Dingjun HAO ; Xiaodong ZHU ; Junlin YANG ; Xuejun ZHANG ; Xuesong ZHANG ; Fangyi ZHANG ; Qijie WANG ; Wenzhi ZHANG ; Yong HAI ; Jianhua ZHAO ; Yong QIU ; Yan WANG ; Guixing QIU ; Ming LI
Academic Journal of Naval Medical University 2025;46(3):291-300
Adolescent idiopathic scoliosis(AIS)is a complex three-dimensional deformity involving coronal,sagittal,and axial planes,with a prevalence that should not be overlooked.With advancements in technology and in-depth research,an increasing number of hospitals and physicians are exploring standardized diagnostic and treatment approaches for AIS.Comprehensive and in-depth understanding is required for AIS,including its etiology,screening and diagnosis,classification,assessment and examination,treatment options,exploration of current focus,and evaluation of quality of life.Such understanding ensures that the diagnostic and treatment are scientific,standardized,and timely.Based on the principles of evidence-based medicine,a consensus on the diagnosis and treatment of AIS is reached after multiple discussions among spinal surgery experts,aiming to provide reference and guidance for clinical practice.
8.Development and validation of a prediction score for subtype diagnosis of primary aldosteronism.
Ping LIU ; Wei ZHANG ; Jiao WANG ; Hongfei JI ; Haibin WANG ; Lin ZHAO ; Jinbo HU ; Hang SHEN ; Yi LI ; Chunhua SONG ; Feng GUO ; Xiaojun MA ; Qingzhu WANG ; Zhankui JIA ; Xuepei ZHANG ; Mingwei SHAO ; Yi SONG ; Xunjie FAN ; Yuanyuan LUO ; Fangyi WEI ; Xiaotong WANG ; Yanyan ZHAO ; Guijun QIN
Chinese Medical Journal 2025;138(23):3206-3208
9.Impact of short-term exposure to atmospheric pollutants on the number of daily admissions for acute stroke: a time series study in Taiyuan, China
Xiaofeng LI ; Zexing LI ; Fangyi TIAN ; Shina SONG ; Shaoshuai WANG ; Changxin LI ; Jingxin LI
International Journal of Cerebrovascular Diseases 2024;32(3):180-185
Objective:To investigate the impact of short-term exposure to atmospheric pollutants on the number of acute stroke daily admissions in Taiyuan, China.Methods:The case data of patients with stroke from three large hospitals in different regions of Taiyuan, Shanxi Province from January 1, 2018 to December 31, 2019 were collected. The daily average concentrations of atmospheric pollutants and meteorological data in Taiyuan during the same period were collected. Spearman rank correlation was used to analyze the correlation between meteorological factors and atmospheric pollutants, and a generalized additive model (GAM) based on time series research and analysis was used to investigate the impact and lag effect of air pollutants on the number of stroke daily admissions. Stratified analysis was performed based on different genders and ages (≤64 years, 65-74 years, and ≥75 years).Results:Between 2018 and 2019, a total of 4 921 patients with acute stroke were collected from three large hospitals, with a daily average of 6.74 stroke admissions. Among them, 4 310 patients (87.6%) had ischemic stroke, 521 (10.6%) had cerebral hemorrhage, and 90 (1.8%) had subarachnoid hemorrhage. GAM analysis showed that there was a significant correlation between short-term exposure to PM 2.5, PM 10, and SO 2 and the number of stroke daily admissions. All three had a significant impact on the number of stroke daily admissions on the day of onset and 3 days later. The maximum effect value was reached on the day of onset, and when the average concentrations of PM 2.5, PM 10, and SO 2 increase by 10 μg/m 3, the number of stroke daily admissions increased by 1.48% (95% confidence interval [ CI] 0.46%-2.53%), 0.80% (95% CI 0.25%-1.36%), and 2.80% (95% CI 0.76%-4.88%), respectively. Stratified analysis showed that exposure to PM 2.5, PM 10, SO 2, and CO had a more significant impact on the number of stroke daily admissions in male patients, while only PM 10 showed positive results in females. Age stratified analysis showed that PM 2.5 significantly increased the number of stroke daily admissions in individuals aged ≥75 years. Conclusion:Short-term exposure to atmospheric pollutants (PM 2.5, PM 10, SO 2, and CO) will to some extent increase the number of stroke daily admissions among residents of Taiyuan, especially among males and those aged ≥75 years.
10.Mechanism of Chinese Medicine Against Diabetic Gastroparesis: A Review
Long LI ; Zhifeng TANG ; Wenjing SONG ; Fangyi CHEN ; Yuting YUE ; Xia YANG ; Zhigang WANG ; Wanxin ZHU ; Shengfang WAN
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(17):256-266
Diabetic gastroparesis (DGP) is a common diabetic neuropathy that affects the normal function of gastric motility and emptying. Clinically, it often manifests as abdominal distension, nausea and vomiting, early satiety, dyspepsia, etc. The pathogenesis of DGP is multifactorial, closely related to many factors, such as chronic hyperglycemia, neuropathy, autonomic nervous system disorders, inflammation, and oxidative stress. These factors can interact with each other, leading to delayed gastric emptying and the occurrence of related symptoms. Traditional Chinese medicine (TCM) has significant advantages in the prevention and treatment of DGP, including a long history, remarkable efficacy, individualized treatment, diverse therapeutic formulations, and improvement in the quality of life. Additionally, TCM is known for its low adverse reactions, good tolerance, and multi-targeted effects, making it an important approach in the management of DGP. Previous research has found that the main mechanisms of Chinese medicine in the prevention and treatment of DGP include the regulation of gastrointestinal hormones, inhibition of inflammatory responses, reduction of oxidative stress, enhancement of interstitial cells of Cajal activity, inhibition of pyroptosis, and modulation of related signaling pathways such as stem cell factor (SCF)/cellular growth factor receptor (c-Kit), adenosine monophosphate-activated protein kinase (AMPK), Ras homologous genome member A (RhoA)/Rho-associated coiled-coil forming kinase (ROCK). This article primarily summarized the research progress on Chinese medicine in preventing and treating DGP through the inhibition of inflammatory responses, reduction of oxidative stress, enhancement of interstitial cells of Cajal activity, inhibition of pyroptosis, and regulation of related signaling pathways, aiming to provide a reference and basis for further research on the application value of Chinese medicine in the prevention and treatment of DGP.

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