Objective To develop the Ego Depletion Scale for Type 2 Diabetes Patients and evaluate its reliability and validity,and to provide a specific assessment tool for evaluating ego-depletion in self-management.Methods Guided by the self-control strength model,the initial scale was constructed through literature review,semi-structured interviews,2 rounds of expert consultation,and a pilot survey.A convenience sampling method was employed to recruit 460 patients with Type 2 Diabetes from the endocrinology department of a tertiary hospital in Wuhan,Hubei Province,between April and July 2024.They were randomly divided into 2 subsets for exploratory factor analysis and confirmatory factor analysis.Results A total of 451 valid questionnaires were collected.Exploratory factor analysis extracted 6 common factors,with a cumulative variance contribution of 73.231％.In confirmatory factor analysis,an item was deleted due to failing to meet the standardized loading value criterion.The revised Ego Depletion Scale for Type 2 Diabetes Patients comprised 6 dimensions and 22 items.The total Cronbach's α coefficient was 0.911;split-half reliability was 0.744;the content validity index was 0.860.Correlation coefficients between the total score and scores of each dimension of the scale and the total score of the Self-Regulatory Fatigue Scale ranged from 0.558 to 0.946(P＜0.001).Conclusion The scale exhibits robust reliability and validity,serving as a scientifically instrument for assessing ego depletion in patients with Type 2 Diabetes.

Objective:This study aims to explore the independent and interactive effects of childhood trauma (CT) and major depressive disorder (MDD) on amygdala subregion volumes and to examine whether volumetric changes in these subregions mediate the relationship between CT and depressive severity.Methods:A total of 129 MDD patients and 127 age- and sex-matched healthy controls were recruited from Nanjing Brain Hospital between October 2022 and November 2024. All participants underwent 3D-T 1 weighted MRI scans,and amygdala subregions were segmented using the FreeSurfer software. Depressive and anxiety symptoms were assessed with the 17-item Hamilton Depression Rating Scale (HAMD 17) and the Hamilton Anxiety Scale (HAMA),respectively. Childhood trauma exposure was evaluated via the Childhood Trauma Questionnaire (CTQ). Generalized linear models (GLM) were applied to analyze the main and interactive effects of MDD diagnosis (depression/healthy controls) and CT (presence/absence),adjusting for age,estimated intracranial volume,sex,medication history,and education years. Partial correlation and mediation analyses were conducted to explore associations between amygdala subregion volumes and clinical measures in MDD patients. Results:MDD diagnosis was independently associated with increased volumes in the right central nucleus ( Wald χ2=9.09, P=0.026) and medial nucleus ( Wald χ2=10.08, P=0.026). CT exposure was independently associated with reduced volumes in the right central nucleus ( Wald χ2=7.99, P=0.047) and medial nucleus ( Wald χ2=9.20, P=0.047). No significant interaction effects between MDD and CT were observed in any amygdala subregion. Mediation analysis revealed that reduced right medial nucleus volume partially mediated the relationship between total CTQ scores and depressive severity (proportion mediated: 26.69%,95% CI=0.002-0.060) and mediated the association between emotional neglect and depressive severity (proportion mediated: 26.75%,95% CI=0.006-0.150). Such mediating effects were not found for the right central nucleus. Conclusion:CT and MDD exhibit divergent patterns of influence on amygdala subregions. CT is linked to volumetric reductions,whereas MDD is associated with volumetric enlargement. Reduced volume of the right medial nucleus mediates the relationship between CT and depression severity.

ObjectiveTo investigate the trend and influencing factors of newly reported human immunodeficiency virus (HIV) positivity rate among men who had sex with men (MSM) in Shanghai from 2021 to 2024, and to provide evidence for formulating scientific prevention and control measures of AIDS. MethodsMultiple rounds of cross-sectional questionnaire surveys were conducted among MSM by Shanghai Qing’ai Health Promotion Center. Pearson and Cochran-Armitage trend χ² tests were used to analyze the differences and changes in population characteristics and newly reported HIV positivity rates. A logistic regression model was applied for multivariate analyses of factors associated with newly reported HIV positivity. ResultsA total of 1 653 MSM who had not been previously diagnosed with HIV infection were surveyed. The newly reported HIV positivity rates in 2021, 2023, and 2024 were 7.87%, 3.91%, and 3.06%, respectively, showing a decreasing trend (χ²_trend=13.460, P_trend<0.001). Multivariate analyses revealed that MSM aged 18‒<25 years, residing locally for <1 year, identifying as bisexual, lacking HIV knowledge, and having ≥10 same-sex partners in the past 6 months exhibited higher newly reported HIV positivity rates. Conversely, MSM knowledgeable about HIV prevention, residing locally for 1‒5 years, and engaging in oral sex with male partners in the past 6 months demonstrated lower HIV positivity rates. Annual analyses revealed that MSM with HIV knowledge had lower newly reported HIV positivity rates in 2023 and 2024 (aOR=0.300, 95%CI: 0.811‒0.111; aOR=0.202, 95%CI: 0.085‒0.483). ConclusionThe newly reported HIV positivity rate among MSM in Shanghai from 2021 to 2024 showed a decline. Future interventions should focus on young and mobile MSM, strengthen HIV knowledge education through platforms such as the internet, promote safe sexual behaviors and regular testing, and further expand the coverage of pre-exposure prophylaxis (PrEP) and post-exposure prophylaxis (PEP) to control HIV transmission within this population.

Objective: To investigate the prevalence of sleep quality among the elderly in nursing homes in Changning District, Shanghai Municipality, so as to provide insights into prevention and intervention strategies for improving sleep quality and overall quality of life for the elderly. Methods: The elderly from 25 nursing homes in Changning District were selected using a two-stage sampling method. Basic information including gender, age and types of medication were collected. Sleep quality was assessed using the Athens Insomnia Scale, and depressive symptoms were measured using the Geriatric Depression Scale. Factors affecting sleep quality among the elderly in nursing homes were analyzed using a multivariable logistic regression model. Results: A total of 739 participants were surveyed, including 516 males (69.82%) and 223 females (30.18%). The majority of participants were aged 80 to <90 years (478, 64.68%). Among them, 432 participants (58.46%) had normal sleep, 144 (19.49%) had suspected insomnia, and 163 (22.06%) had insomnia. Multivariable logistic regression analysis showed that older age (OR=1.030, 95%CI: 1.005-1.055), more medication types (OR=1.971, 95%CI: 1.381-2.812), frequent nighttime bathroom visits (OR=2.921, 95%CI: 1.853-4.605) and depressive symptoms (OR=3.295, 95%CI: 2.440-4.449) were associated with a higher risk of insomnia among the elderly in nursing homes. Conclusions Insomnia was reported in 22.06% of the elderly in nursing homes in Changning District. Age, the number of medication types, frequency of nighttime bathroom visits, and depressive symptoms are the main influencing factors for their sleep quality.

As green, sustainable, and environmentally friendly material processing processes using biological cells or enzymes to achieve substance conversion, bioprocesses play an increasingly important role in biomanufacturing. It is difficult to optimize bioprocesses because of the complex relationship at multiple levels and multiple scales. The knowledge of mesoscale behaviors is the key to understanding the dynamics of bioprocesses and to sort out the complex relationships of parameter variations in the spatial-temporal domain. Mesoscale numerical simulation paves a way for understanding these phenomena, and the integration of artificial intelligence (AI) and mesoscale simulation offers new vitality into the optimization of bioprocesses. This article reviews the progress in mesoscale simulation and AI optimization of bioprocesses and discusses the possible development directions, aiming to promote the development of this field.
Artificial Intelligence ; Biotechnology/trends* ; Computer Simulation

Objective To develop the Ego Depletion Scale for Type 2 Diabetes Patients and evaluate its reliability and validity,and to provide a specific assessment tool for evaluating ego-depletion in self-management.Methods Guided by the self-control strength model,the initial scale was constructed through literature review,semi-structured interviews,2 rounds of expert consultation,and a pilot survey.A convenience sampling method was employed to recruit 460 patients with Type 2 Diabetes from the endocrinology department of a tertiary hospital in Wuhan,Hubei Province,between April and July 2024.They were randomly divided into 2 subsets for exploratory factor analysis and confirmatory factor analysis.Results A total of 451 valid questionnaires were collected.Exploratory factor analysis extracted 6 common factors,with a cumulative variance contribution of 73.231％.In confirmatory factor analysis,an item was deleted due to failing to meet the standardized loading value criterion.The revised Ego Depletion Scale for Type 2 Diabetes Patients comprised 6 dimensions and 22 items.The total Cronbach's α coefficient was 0.911;split-half reliability was 0.744;the content validity index was 0.860.Correlation coefficients between the total score and scores of each dimension of the scale and the total score of the Self-Regulatory Fatigue Scale ranged from 0.558 to 0.946(P＜0.001).Conclusion The scale exhibits robust reliability and validity,serving as a scientifically instrument for assessing ego depletion in patients with Type 2 Diabetes.

Glaucoma is a multifactorial degenerative optic neuropathy, and its irreversible and blinding pathological characteristics mainly come from the damage to the optic nerve, namely glaucomatous optic neuropathy(GON). The difficulty in the treatment of GON lies in the early intervention, and currently there is no optic neuroprotective drug for the treatment of all types of GON. The death of retinal ganglion cells(RGCs)is the core pathological change caused by various pathogenic mechanisms of GON. Recent studies have found that the widespread second messenger cyclic adenosine 3', 5' -monophosphate(cAMP)and its downstream effector protein kinase A(PKA)signal cascade play an important role in the pathogenesis of GON. It can also inhibit the apoptosis of RGCs and play a protective and therapeutic role in glaucoma. Therefore, this article reviews the role of cAMP/PKA pathway in the pathophysiological development of GON, focusing on its effects on glaucoma intraocular pressure regulation, oxidative stress, neuroinflammation and optic nerve degeneration, in order to find a common central regulatory target for the optic nerve damage caused by different pathological mechanisms of GON and promote the further understanding and clinical treatment of this disease.

Objective:This study aims to explore the independent and interactive effects of childhood trauma (CT) and major depressive disorder (MDD) on amygdala subregion volumes and to examine whether volumetric changes in these subregions mediate the relationship between CT and depressive severity.Methods:A total of 129 MDD patients and 127 age- and sex-matched healthy controls were recruited from Nanjing Brain Hospital between October 2022 and November 2024. All participants underwent 3D-T 1 weighted MRI scans,and amygdala subregions were segmented using the FreeSurfer software. Depressive and anxiety symptoms were assessed with the 17-item Hamilton Depression Rating Scale (HAMD 17) and the Hamilton Anxiety Scale (HAMA),respectively. Childhood trauma exposure was evaluated via the Childhood Trauma Questionnaire (CTQ). Generalized linear models (GLM) were applied to analyze the main and interactive effects of MDD diagnosis (depression/healthy controls) and CT (presence/absence),adjusting for age,estimated intracranial volume,sex,medication history,and education years. Partial correlation and mediation analyses were conducted to explore associations between amygdala subregion volumes and clinical measures in MDD patients. Results:MDD diagnosis was independently associated with increased volumes in the right central nucleus ( Wald χ2=9.09, P=0.026) and medial nucleus ( Wald χ2=10.08, P=0.026). CT exposure was independently associated with reduced volumes in the right central nucleus ( Wald χ2=7.99, P=0.047) and medial nucleus ( Wald χ2=9.20, P=0.047). No significant interaction effects between MDD and CT were observed in any amygdala subregion. Mediation analysis revealed that reduced right medial nucleus volume partially mediated the relationship between total CTQ scores and depressive severity (proportion mediated: 26.69%,95% CI=0.002-0.060) and mediated the association between emotional neglect and depressive severity (proportion mediated: 26.75%,95% CI=0.006-0.150). Such mediating effects were not found for the right central nucleus. Conclusion:CT and MDD exhibit divergent patterns of influence on amygdala subregions. CT is linked to volumetric reductions,whereas MDD is associated with volumetric enlargement. Reduced volume of the right medial nucleus mediates the relationship between CT and depression severity.

Objective:To explore the effects of aerobic exercise on learning and memory functions, hippocampal synaptic plasticity and the ADPN signaling pathway in diabetic rats.Methods:6-week-old male SD rats were randomly divided into a blank control group(NC group)and a high-fat diet group, and a rat model for diabetes was induced by feeding rats in the high-fat diet group with a high-fat diet combined with intraperitoneal instillation of low-dose streptozotocin(STZ)for 5 weeks.Rats in the high-fat diet group were further divided into a diabetic group(DC group)and a diabetic aerobic exercise group(DM group)after successful establishment of the model.Rats in the DM group were subjected to aerobic exercise for eight weeks and then the Morris water maze test was conducted to assess learning and memory functions, relevant serum markers were measured, Golgi staining was used to examine synaptic changes in the hippocampus, and Western blot was carried out to detect hippocampal protein expression levels of adiponectin(ADPN), AMP-activated protein kinase(AMPK), glucose transporter 4(GLUT4), synaptic plasticity-related protein synaptophysin(SYN)and postsynaptic density protein 95(PSD-95)for rats in each group.Results:Serum FBG and HBA1c in diabetic rats were markedly significantly decreased after 8 weeks of aerobic exercise( P<0.01), and serum ADPN and insulin were significantly increased after 8 weeks of aerobic exercise( P<0.05).When test results from the three groups of rats compared, the F value was 69.248 for FBG, 6.740 for INS, 7.017 for HBA1C and 14.315 for serum ADPN.The results of the water maze test and hippocampal Golgi staining showed that the escape latency of diabetic rats was highly significantly decreased after 8 weeks of aerobic exercise( P<0.01).The platform crossing times, the number of dendritic branches and the dendritic spine density in the hippocampal CA3 region of diabetic rats were significantly increased after 8 weeks of aerobic exercise( P<0.05).When results from the three groups of rats were compared, the F value was 13.934 for escape latency, 5.864 for platform crossing times, 9.307 and 6.734 for the number of dendritic branches and the density of dendritic spine in hippocampal CA3 region.Hippocampal PSD-95, SYN, ADPN, p-AMPK, and GLUT4 protein expression levels of diabetic rats were significantly increased( P<0.05)after 8 weeks of aerobic exercise.When results from the three groups of rats were compared, the F value was 15.137 for SYN, 5.415 for PSD-95, 9.687 for ADPN, 27.761 for GLUT4, and 9.298 for p-AMPK. Conclusions:Eight weeks of aerobic exercise can improve the learning and memory functions of diabetic rats, and the mechanisms may be related to exercise-induced hippocampal ADPN/AMPK/GLUT4 signaling activation in rats, leading to enhanced synaptic plasticity in the hippocampus.

Objective To investigate the current situation of home environment safety of the elderly in Changning District, identify the risk factors related to the fall of the home environment of the elderly, and take targeted rectification measures, so as to create a safer environment for the elderly. Methods A phased random sampling method was used to select 201 elderly households from 10 streets in Changning District. Community doctors conducted on-the-spot investigation and assessment to collect information, and Epidata3.1 was used to input data and SAS 9.2 was used for statistical analysis. Results The incidence of falls in the past year was 19.90%, and the score of environmental risk factors/the number of environmental risk factors in each family ranged from 0 to 25, with an average of 9 items (standard deviation of 4.71). The results of multivariate logistic regression analysis show that the high level of falling environment (the number of falling risk factors in home environment ≥12) is still an independent risk factor for falls of the elderly, except for the influence of age and the number of drugs taken (OR=3.835, 95% CI:1.718-8.561). Conclusion The environmental risk factors causing falls are common in the home environment of the elderly in the community. It is necessary to focus on improving the home environment, reducing the risk of falls for the elderly, and creating a safe and comfortable home environment for the elderly.