Objective To explore the gender differences in the relationship between depressive symptoms and cognitive functions in patients with depression.Methods From January 2021 to June 2024,375 patients meeting the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)criteria for depression were selected by convenience sampling from the Affiliated Psychological Hospital of Anhui Medical University.Depressive symptom severity was assessed using the 24-item Hamilton depression scale(HAMD-24),while cognitive function was evaluated using a series of neuropsychological assessment tools,including the trail making test,logical memory,figure memory,digit symbol substitution test,digit span backward,and Wisconsin card sorting test.Network analysis was performed using R software to examine the relationships between symptoms and cognitive function.Results The core symptom factors and core cognitive domains for male depressive patients are sleep disturbances(strength=1.253)and information processing speed(strength=1.605),respectively;In contrast,female patients exhiboted emotional stagnation(strength=1.322)and working memory(strength=1.289).Sleep disturbances and emotional stagnation were the bridging nodes(bridge strength=1.253 and 1.322)for male and female patients,respectively.The correlation stability(CS)coefficients for the node strength centrality in male and female patient groups were 0.514 and 0.515,respectively,both exceeding threshold of 0.25,indicating good network stability.There were no significant differences between genders in terms of global network strength(male vs.female:2.22 vs.4.87;P=0.356)and edge weight distribution(P=0.293).Conclusion The network relationships between depressive symptoms and cognitive function in depression patients show significant gender differences.Sleep disturbance and information processing speed play central roles in males,whereas emotional retardation and working memory impairment are core features in females.These findings provide a theoretical basis for developing gender-specific intervention strategies.

Objective To explore the gender differences in the relationship between depressive symptoms and cognitive functions in patients with depression.Methods From January 2021 to June 2024,375 patients meeting the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)criteria for depression were selected by convenience sampling from the Affiliated Psychological Hospital of Anhui Medical University.Depressive symptom severity was assessed using the 24-item Hamilton depression scale(HAMD-24),while cognitive function was evaluated using a series of neuropsychological assessment tools,including the trail making test,logical memory,figure memory,digit symbol substitution test,digit span backward,and Wisconsin card sorting test.Network analysis was performed using R software to examine the relationships between symptoms and cognitive function.Results The core symptom factors and core cognitive domains for male depressive patients are sleep disturbances(strength=1.253)and information processing speed(strength=1.605),respectively;In contrast,female patients exhiboted emotional stagnation(strength=1.322)and working memory(strength=1.289).Sleep disturbances and emotional stagnation were the bridging nodes(bridge strength=1.253 and 1.322)for male and female patients,respectively.The correlation stability(CS)coefficients for the node strength centrality in male and female patient groups were 0.514 and 0.515,respectively,both exceeding threshold of 0.25,indicating good network stability.There were no significant differences between genders in terms of global network strength(male vs.female:2.22 vs.4.87;P=0.356)and edge weight distribution(P=0.293).Conclusion The network relationships between depressive symptoms and cognitive function in depression patients show significant gender differences.Sleep disturbance and information processing speed play central roles in males,whereas emotional retardation and working memory impairment are core features in females.These findings provide a theoretical basis for developing gender-specific intervention strategies.

Objective To explore the relationship between peripheral blood mitochondrial DNA(mtDNA)copy number and urinary microalbumin(MAlb)in patients with type 2 diabetes mellitus(T2DM).Methods 87 patients with T2DM from the Endocrinology Department of East Hospital of Tongji University were selected based on inclusion criteria.According to urinary MAlb levels,patients were divided into T2DM group(MAlb＜30 mg/L)and MAlb group(MAlb＞30 mg/L).General patient information was collected,and clinical indicators such as blood glucose,lipid profile,glycated hemoglobin and insulin were measured.Peripheral blood mtDNA was extracted and the copy number was detected using real-time quantitative polymerase chain reaction(RT-PCR).Logistic regression analysis was used to identify the risk factors for albuminuria.Results Compared with T2DM group,DM duration,serum creatinine,serum uric acid and copy number of mtDNA in MAlb group increased(P＜0.05),while high density lipoprotein cholesterol decreased(P＜0.05).Logistic analysis showed that the copy number of mtDNA was the influencing factor of MAlb in T2DM patients.Conclusions The peripheral blood mtDNA copy number in T2DM patients is positively correlated with urinary microalbumin,thus providing a potential target for early detection of DKD.

Objective To explore the relationship between peripheral blood mitochondrial DNA(mtDNA)copy number and urinary microalbumin(MAlb)in patients with type 2 diabetes mellitus(T2DM).Methods 87 patients with T2DM from the Endocrinology Department of East Hospital of Tongji University were selected based on inclusion criteria.According to urinary MAlb levels,patients were divided into T2DM group(MAlb＜30 mg/L)and MAlb group(MAlb＞30 mg/L).General patient information was collected,and clinical indicators such as blood glucose,lipid profile,glycated hemoglobin and insulin were measured.Peripheral blood mtDNA was extracted and the copy number was detected using real-time quantitative polymerase chain reaction(RT-PCR).Logistic regression analysis was used to identify the risk factors for albuminuria.Results Compared with T2DM group,DM duration,serum creatinine,serum uric acid and copy number of mtDNA in MAlb group increased(P＜0.05),while high density lipoprotein cholesterol decreased(P＜0.05).Logistic analysis showed that the copy number of mtDNA was the influencing factor of MAlb in T2DM patients.Conclusions The peripheral blood mtDNA copy number in T2DM patients is positively correlated with urinary microalbumin,thus providing a potential target for early detection of DKD.

Objective To explore the correlation between TCM constitution and sleep status in escort troops. Methods Standardized TCM Constitution Questionnaire and Pittsburgh Sleep Quality Index (PSQI) were used to investigate escort troops. Factors of PSQI and constitution types were analyzed. Results The results of PSQI showed the number of escort troops who had bad sleeping (PSQI>7) was 64, which accounted for 46%of the escort troops, among which, 45 people (70.3%) were justified as biased constitution, while 19 were normal constitution (29.7%). The top three biased constitution in bad sleeping were:qi deficiency, phlegm-dampness and dampness-heat. PSQI factors such as sleep disorder, daytime dysfunction and total score had positive correlation with qi deficiency, yang deficiency, yin deficiency, dampness-heat and blood stasis, and negative correlation with normal constitution. Conclusion Sleep condition of escort troops has correlation with TCM constitution, which indicates that sleep status could be improved by regulating TCM constitution.