Objective To investigate the relationship between prolactin and mild cognitive impairment(MCI)in postmenopausal women with type 2 diabetes mellitus(T2DM).Methods A total of 319 postmenopausal women with T2DM who were hospitalized in the Department of Endocrinology,Drum Tower Hospital,Affiliated Hospital of Medical School,Nanjing University were enrolled in this study from August 2016 to October 2023.All the patients were divided into two groups according whether they had MCI:T2DM group(n=161)and MCI group(n=158).Differences in clinical characteristics were compared between the two groups.Pearson correlation was used to analyze the correlation between sex hormones and cognitive domains,and Logistic regression analysis was used to evaluate the influencing factors for MCI development.Results Serum prolactin levels were significantly lower in the MCI group than in the T2DM group[(5.5±2.1)vs(7.2±2.9)μg/L,P<0.05].Serum prolactin level was positively correlated with mini-mental state examination score,Montreal cognitive assessment score,immediate memory score,visuopatial constructional score,attention score and hippocampal volume(P<0.05),and negatively correlated with processing speed test(time)and executive function test(time)(P<0.05).Logistic regression analysis demonstrated that serum prolactin level was an influencing factor for the risk of MCI in postmenopausal women with T2DM(OR 0.715,95%CI 0.605～0.845,P<0.01).Conclusions The decrease of serum prolactin level is associated with an increased risk of MCI in postmenopausal women with T2DM.

Objective To investigate the relationship between prolactin and mild cognitive impairment(MCI)in postmenopausal women with type 2 diabetes mellitus(T2DM).Methods A total of 319 postmenopausal women with T2DM who were hospitalized in the Department of Endocrinology,Drum Tower Hospital,Affiliated Hospital of Medical School,Nanjing University were enrolled in this study from August 2016 to October 2023.All the patients were divided into two groups according whether they had MCI:T2DM group(n=161)and MCI group(n=158).Differences in clinical characteristics were compared between the two groups.Pearson correlation was used to analyze the correlation between sex hormones and cognitive domains,and Logistic regression analysis was used to evaluate the influencing factors for MCI development.Results Serum prolactin levels were significantly lower in the MCI group than in the T2DM group[(5.5±2.1)vs(7.2±2.9)μg/L,P<0.05].Serum prolactin level was positively correlated with mini-mental state examination score,Montreal cognitive assessment score,immediate memory score,visuopatial constructional score,attention score and hippocampal volume(P<0.05),and negatively correlated with processing speed test(time)and executive function test(time)(P<0.05).Logistic regression analysis demonstrated that serum prolactin level was an influencing factor for the risk of MCI in postmenopausal women with T2DM(OR 0.715,95%CI 0.605～0.845,P<0.01).Conclusions The decrease of serum prolactin level is associated with an increased risk of MCI in postmenopausal women with T2DM.

Objective:It aims to systematically evaluate the current status of knowledge,attitude,and practice(KAP)regarding universal commercial medical insurance among residents of the sample province from the demand-side perspective.Methods:Utilizing a quota sampling method,face-to-face surveys were conducted via the Questionnaire Star platform to collect demographic characteristics and KAP data of the participants.Comparisons of differences among different groups were made using t-tests,analysis of variance,and chi-square tests.Furthermore,multiple linear regression and structural equation modeling were utilized to analyze the influencing factors of KAP,as well as the pathways among these three factors.Results:Out of the 415 valid questionnaires collected,there were notable differences in KAP among respondents with diverse demographic backgrounds.Regression analysis revealed that education level,frequency of health check-ups,and engagement in other commercial health insurances significantly influenced knowledge;education level,involvement in other commercial health insurances,and self-assessed health status were pivotal in shaping attitudes;whereas age,education level,frequency of health check-ups,and participation in other commercial health insurances were critical in affecting practice.The path analysis results indicate that knowledge of universal commercial medical insurance has a significant direct association with attitude(β=0.379,P＜0.001)and practice(β=0.323,P＜0.001).It also influences practice through attitude as a mediator(β=0.016,P＜0.001),but the direct effect of attitude on practice is not significant(β=0.04,P=0.403).Conclusion:While residents in the sample province exhibit a positive attitude towards universal commercial medical insurance,there is a need to enhance their level of knowledge and engagement in practice.It is recommended to strengthen targeted educational and promotional measures to promote the healthy and sustainable development of universal insurance.

Objective:It aims to systematically evaluate the current status of knowledge,attitude,and practice(KAP)regarding universal commercial medical insurance among residents of the sample province from the demand-side perspective.Methods:Utilizing a quota sampling method,face-to-face surveys were conducted via the Questionnaire Star platform to collect demographic characteristics and KAP data of the participants.Comparisons of differences among different groups were made using t-tests,analysis of variance,and chi-square tests.Furthermore,multiple linear regression and structural equation modeling were utilized to analyze the influencing factors of KAP,as well as the pathways among these three factors.Results:Out of the 415 valid questionnaires collected,there were notable differences in KAP among respondents with diverse demographic backgrounds.Regression analysis revealed that education level,frequency of health check-ups,and engagement in other commercial health insurances significantly influenced knowledge;education level,involvement in other commercial health insurances,and self-assessed health status were pivotal in shaping attitudes;whereas age,education level,frequency of health check-ups,and participation in other commercial health insurances were critical in affecting practice.The path analysis results indicate that knowledge of universal commercial medical insurance has a significant direct association with attitude(β=0.379,P＜0.001)and practice(β=0.323,P＜0.001).It also influences practice through attitude as a mediator(β=0.016,P＜0.001),but the direct effect of attitude on practice is not significant(β=0.04,P=0.403).Conclusion:While residents in the sample province exhibit a positive attitude towards universal commercial medical insurance,there is a need to enhance their level of knowledge and engagement in practice.It is recommended to strengthen targeted educational and promotional measures to promote the healthy and sustainable development of universal insurance.

Objective:To investigate the application of time series models in forecasting pre-hospital emergency ambulance trips in Handan City and develop the LPro ensemble model for improved prediction accuracy to support emergency resource allocation.Methods:Pre-hospital emergency data from Handan Emergency Medical Command Center (2019-2023) were retrospectively analyzed. From 324 799 original records, 289 949 valid records were included after cleaning. The training set (2019-2022: 215 918 records) included 35 527 records in 2019, 52 015 in 2020, 61 836 in 2021, and 66 540 in 2022. The validation set (2023) contained 74 031 records. ARIMA, linear trend seasonal, exponential smoothing, and Prophet models were fitted to the training set. The LPro ensemble model was constructed using MAPE-based weighting (linear trend seasonal model: 0.38, Prophet: 0.62). Performance metrics included MAPE, RMSE, MAE, and R 2. Results:Data showed annual growth (compound annual growth rate 23.27%) and seasonal patterns (October peaks, February troughs). Ambulance dispatches increased annually with monthly cyclical patterns. For 2023 validation predictions: ARIMA (MAPE 8.76%, RMSE 619, MAE 491, R 2 0.4563), linear trend seasonal (MAPE 9.83%, RMSE 671, MAE 545, R 2 0.3608), Prophet (MAPE 8.43%, RMSE 562, MAE 503, R 2 0.5513), exponential smoothing (MAPE 8.08%, RMSE 643, MAE 410, R 2 0.4124). LPro model showed superior performance (MAPE 7.05%, RMSE 491, MAE 393, R 2 0.6570), with 16.37% lower MAPE, 12.63% lower RMSE, 21.87% lower MAE, and 19.17% higher R 2 versus Prophet. Conclusion:The LPro ensemble model substantially enhances prediction accuracy and reliability, offering scientific support for emergency resource optimization and dispatch scheduling in Handan City.

The aim of this study is to investigate the effect of Mito TEMPO on the preservation of porcine semen in liquid form.The preservation solution was supplemented with 0,0.5,5.0,50.0,and 500.0 μmol/L of Mito TEMPO,and the diluted boar semen was stored at 17 ℃ for 1 to 5 days.After preservation,we measured sperm motility,acrosome integrity,plasma membrane integrity,reactive oxygen species(ROS)content,total antioxidant capacity,and mitochondrial membrane potential.The fertilization ability and embryonic development potential of sperm preserved for 5 days were assessed using an in vitro fertilization test.The results indicated that the addition of 5.0,50.0 μmol/L of Mito TEMPO to the preservation solution significantly reduced ROS content and improved sperm motility,plasma membrane integrity,acrosome integrity,mitochondrial membrane potential,and antioxidant capacity.Furthermore,it enhanced the fertilization and embryonic devel-opment potential of the preserved sperm.Therefore,Mito TEMPO is beneficial for the preservation of porcine semen in liquid form and may serve as a foundation for the development of liquid semen preservation solutions.

Objective:To investigate the clinical phenotypes, muscle magnetic resonance imaging (MRI) and pathological changes, and genetic characteristics of myfibrillar myopathies (MFMs) cuased by MYOT gene mutation. Methods:(1) The clinical data of a MFMs family caused by a de novo frameshift mutation in MYOT gene admitted to Department of Neurology, Jiaozuo People's Hospital Affiliated to Xinxiang Medical University in February 2021 were collected. Electromyography, muscle MRI, and pathological examination were used to confirm the changes of the muscle lesions. MYOT gene mutation in the proband and other patients was detected by next generation sequencing (NGS) and Sanger sequencing, respectively. The 3D structure models of myotilin protein before and after gene mutation were predicted by AlphaFold3 and pymol3. (2) Literature on MFMs caused by MYOT gene mutation was searched from Pubmed and China National Knowledge Infrastructure from the establishment of these databases to July 2024; clinical and genetic characteristics of MFMs caused by MYOT gene mutation were summarized. Results:(1) In the 9 patients from this family, 8 had onset in adolescence (16-20 years old). Unilateral or bilateral hand muscle weakness as the first symptoms appeared in most patients, and then, hand muscle atrophy gradually appeared and slowly progressed to the proximal limbs. Electromyography showed myogenic damage. Muscle MRI showed patchy long T1 and long T2 signal intensity in the bilateral anterior tibial muscles. Muscle pathological staining showed typical rimbed vacuoles, cytoplasm, smear-like muscle fibers and desmin abnormal deposition in some muscle fibers; electron microscopy revealed disorganized myofibril structures, focal myofibril lysis, Z-band streaming, and subsarcolemmal or myofibril mitochondrial accumulation. Heterozygous mutation in MYOT gene c.680_683del (p.Val227GlufsTer10) locus was noted in 8 patients and daughter of the proband. Bioinformatics analysis suggested that MYOT gene c.680_683del mutation could cause premature termination of myotilin translation, leading to the production of a truncated protein, thereby disrupting its normal structure and function. (2) Eighty-nine patients with MFMs caused by MYOT gene mutation in previous literature mainly manifested as chronic progressive weakness of the distal or proximal limbs, with some involving the myocardium, respiratory muscles, or peripheral nerves. A total of 12 MYOT gene mutations were identified, with p. Ser60phe being the most common mutation. Except for p.Tyr4_his9del, being an in-frame mutation, the others were missense mutations. Conclusion:MFMs caused by MYOT gene mutation exhibit obvious clinical heterogeneity, characterized by very slow progression of muscle weakness; MYOT gene locus c.680_683del (p.Val227GlufsTer10) is a de novo heterozygous mutation.

The aim of this study is to investigate the effect of Mito TEMPO on the preservation of porcine semen in liquid form.The preservation solution was supplemented with 0,0.5,5.0,50.0,and 500.0 μmol/L of Mito TEMPO,and the diluted boar semen was stored at 17 ℃ for 1 to 5 days.After preservation,we measured sperm motility,acrosome integrity,plasma membrane integrity,reactive oxygen species(ROS)content,total antioxidant capacity,and mitochondrial membrane potential.The fertilization ability and embryonic development potential of sperm preserved for 5 days were assessed using an in vitro fertilization test.The results indicated that the addition of 5.0,50.0 μmol/L of Mito TEMPO to the preservation solution significantly reduced ROS content and improved sperm motility,plasma membrane integrity,acrosome integrity,mitochondrial membrane potential,and antioxidant capacity.Furthermore,it enhanced the fertilization and embryonic devel-opment potential of the preserved sperm.Therefore,Mito TEMPO is beneficial for the preservation of porcine semen in liquid form and may serve as a foundation for the development of liquid semen preservation solutions.

Objective:To investigate the clinical phenotypes, muscle magnetic resonance imaging (MRI) and pathological changes, and genetic characteristics of myfibrillar myopathies (MFMs) cuased by MYOT gene mutation. Methods:(1) The clinical data of a MFMs family caused by a de novo frameshift mutation in MYOT gene admitted to Department of Neurology, Jiaozuo People's Hospital Affiliated to Xinxiang Medical University in February 2021 were collected. Electromyography, muscle MRI, and pathological examination were used to confirm the changes of the muscle lesions. MYOT gene mutation in the proband and other patients was detected by next generation sequencing (NGS) and Sanger sequencing, respectively. The 3D structure models of myotilin protein before and after gene mutation were predicted by AlphaFold3 and pymol3. (2) Literature on MFMs caused by MYOT gene mutation was searched from Pubmed and China National Knowledge Infrastructure from the establishment of these databases to July 2024; clinical and genetic characteristics of MFMs caused by MYOT gene mutation were summarized. Results:(1) In the 9 patients from this family, 8 had onset in adolescence (16-20 years old). Unilateral or bilateral hand muscle weakness as the first symptoms appeared in most patients, and then, hand muscle atrophy gradually appeared and slowly progressed to the proximal limbs. Electromyography showed myogenic damage. Muscle MRI showed patchy long T1 and long T2 signal intensity in the bilateral anterior tibial muscles. Muscle pathological staining showed typical rimbed vacuoles, cytoplasm, smear-like muscle fibers and desmin abnormal deposition in some muscle fibers; electron microscopy revealed disorganized myofibril structures, focal myofibril lysis, Z-band streaming, and subsarcolemmal or myofibril mitochondrial accumulation. Heterozygous mutation in MYOT gene c.680_683del (p.Val227GlufsTer10) locus was noted in 8 patients and daughter of the proband. Bioinformatics analysis suggested that MYOT gene c.680_683del mutation could cause premature termination of myotilin translation, leading to the production of a truncated protein, thereby disrupting its normal structure and function. (2) Eighty-nine patients with MFMs caused by MYOT gene mutation in previous literature mainly manifested as chronic progressive weakness of the distal or proximal limbs, with some involving the myocardium, respiratory muscles, or peripheral nerves. A total of 12 MYOT gene mutations were identified, with p. Ser60phe being the most common mutation. Except for p.Tyr4_his9del, being an in-frame mutation, the others were missense mutations. Conclusion:MFMs caused by MYOT gene mutation exhibit obvious clinical heterogeneity, characterized by very slow progression of muscle weakness; MYOT gene locus c.680_683del (p.Val227GlufsTer10) is a de novo heterozygous mutation.

The purpose of this study is to systematically determine an optimal percentile cutoff in histogram analysis for calculating the mean parameters obtained from a nonGaussian continuous-time random-walk (CTRW) diffusion model for differentiating individual glioma grades. This retrospective study included 90 patients with histopathologically proven gliomas (42 grade II, 19 grade III, and 29 grade IV). We performed diffusion-weighted imaging using 17 b-values (0-4000 s/mm²) at 3T, and analyzed the images with the CTRW model to produce an anomalous diffusion coefficient (D m ) along with temporal (α) and spatial (β) diffusion heterogeneity parameters. Given the tumor ROIs, we created a histogram of each parameter; computed the P-values (using a Student’s t-test) for the statistical differences in the mean D m , α, or β for differentiating grade II vs. grade III gliomas and grade III vs. grade IV gliomas at different percentiles (1% to 100%); and selected the highest percentile with P < 0.05 as the optimal percentile. We used the mean parameter values calculated from the optimal percentile cut-offs to do a receiver operating characteristic (ROC) analysis based on individual parameters or their combinations.We compared the results with those obtained by averaging data over the entire region of interest (i.e., 100th percentile). We found the optimal percentiles for D m , α, and β to be 68%, 75%, and 100% for differentiating grade II vs. III and 58%, 19%, and 100% for differentiating grade III vs. IV gliomas, respectively. The optimal percentile cut-offs outperformed the entire-ROI-based analysis in sensitivity (0.761 vs. 0.690), specificity (0.578 vs. 0.526), accuracy (0.704 vs. 0.639), and AUC (0.671 vs.0.599) for grade II vs. III differentiations and in sensitivity (0.789 vs. 0.578) and AUC (0.637 vs. 0.620) for grade III vs. IV differentiations, respectively. Percentile-based histogram analysis, coupled with the multi-parametric approach enabled by the CTRW diffusion model using high b-values, can improve glioma grading.