Objective:To explore the influencing factors of dietary habits on the progression from prediabetes to type 2 diabetes mellitus(T2DM)in elderly individuals undergoing health check-ups.Methods:In the cross-sectional study, we enrolled individuals aged 60-70 years with fasting plasma glucose (FPG)≥6.0 mmol/L who underwent health examinations at the Health Management Medical Center of Wenjiang District People's Hospital in Chengdu from 2019 to 2022.Demographic characteristics, dietary habit questionnaires, and FPG values were collected.Unconditional binary logistic regression analysis was used to identify factors influencing the natural progression from prediabetes to T2DM.A nomogram prediction model was established based on logistic regression results, and its predictive performance was evaluated by calculating the C-statistics and drawing a calibration curve.Results:A total of 13 681 elderly participants with FPG ≥6.0 mmol/L were included, comprising 4 306(31.5%)prediabetes cases(FPG 6.0-7.0 mmol/L), aged(63.54±16.49)years and 9 375(68.5%)T2DM cases(FPG>7.0 mmol/L), aged(63.09±16.21)years.Unconditional binary logistic regression analysis showed that frequent breakfast( OR=0.777, 95% CI: 0.696-0.868, P<0.001), dietary preference for light diet( OR=0.781, 95% CI: 0.710-0.858, P<0.001), salty taste( OR=0.571, 95% CI: 0.504-0.648, P<0.001), raw food( OR=0.327, 95% CI: 0.224-0.478, P<0.001)and spicy taste( OR=0.124, 95% CI: 0.112-0.137, P<0.001)were the protective factors for the conversion of prediabetes to the T2DM stage in the elderly physical examination population.While fast eating rate( OR=4.327, 95% CI: 3.978-4.772, P<0.001), dietary preference for sweets( OR=5.168, 95% CI: 4.703-5.678, P<0.001), and high-fat diet( OR=1.401, 95% CI: 1.275-1.539, P<0.001)were risk factors for conversion of prediabetes to T2DM stage.C-statistic of the Nomogram prediction model was 0.781; the goodness-of-fit test of the calibration curve was χ2=11.258, P=0.188, and the model predicted well. Conclusions:Regular breakfast, light diet, and dietary preferences for salty, raw, and spicy foods were protective factors for the transition from prediabetes to T2DM stage, whereas rapid eating rate, preference for sweets, and high-fat diets were risk factors for the transition from prediabetes to T2DM stage in the medical examination population.The constructed risk prediction model helped to find out the magnitude of the risk of T2DM in an individual, which increases the evidence for the transition from prediabetes to T2DM stage prevention evidence.

Objective:To explore the influencing factors of dietary habits on the progression from prediabetes to type 2 diabetes mellitus(T2DM)in elderly individuals undergoing health check-ups.Methods:In the cross-sectional study, we enrolled individuals aged 60-70 years with fasting plasma glucose (FPG)≥6.0 mmol/L who underwent health examinations at the Health Management Medical Center of Wenjiang District People's Hospital in Chengdu from 2019 to 2022.Demographic characteristics, dietary habit questionnaires, and FPG values were collected.Unconditional binary logistic regression analysis was used to identify factors influencing the natural progression from prediabetes to T2DM.A nomogram prediction model was established based on logistic regression results, and its predictive performance was evaluated by calculating the C-statistics and drawing a calibration curve.Results:A total of 13 681 elderly participants with FPG ≥6.0 mmol/L were included, comprising 4 306(31.5%)prediabetes cases(FPG 6.0-7.0 mmol/L), aged(63.54±16.49)years and 9 375(68.5%)T2DM cases(FPG>7.0 mmol/L), aged(63.09±16.21)years.Unconditional binary logistic regression analysis showed that frequent breakfast( OR=0.777, 95% CI: 0.696-0.868, P<0.001), dietary preference for light diet( OR=0.781, 95% CI: 0.710-0.858, P<0.001), salty taste( OR=0.571, 95% CI: 0.504-0.648, P<0.001), raw food( OR=0.327, 95% CI: 0.224-0.478, P<0.001)and spicy taste( OR=0.124, 95% CI: 0.112-0.137, P<0.001)were the protective factors for the conversion of prediabetes to the T2DM stage in the elderly physical examination population.While fast eating rate( OR=4.327, 95% CI: 3.978-4.772, P<0.001), dietary preference for sweets( OR=5.168, 95% CI: 4.703-5.678, P<0.001), and high-fat diet( OR=1.401, 95% CI: 1.275-1.539, P<0.001)were risk factors for conversion of prediabetes to T2DM stage.C-statistic of the Nomogram prediction model was 0.781; the goodness-of-fit test of the calibration curve was χ2=11.258, P=0.188, and the model predicted well. Conclusions:Regular breakfast, light diet, and dietary preferences for salty, raw, and spicy foods were protective factors for the transition from prediabetes to T2DM stage, whereas rapid eating rate, preference for sweets, and high-fat diets were risk factors for the transition from prediabetes to T2DM stage in the medical examination population.The constructed risk prediction model helped to find out the magnitude of the risk of T2DM in an individual, which increases the evidence for the transition from prediabetes to T2DM stage prevention evidence.

Objective To investigate the role of HK2 and VDAC1 in diacetylmorphine-induced cardiomyocyte apoptosis.Methods A dose-escalation method was used to establish a rat model of diacetylmorphine addiction.Forty SD rats were randomly divided into three groups,the normal group(n=10)was injected with an equal amount of saline subcutaneously,the model group(n=15)was injected with 5 mg/kg of diacetylmorphine for the first time,and then the dose was increased by 2.5 mg/(kg·d)day by day for 20 days,and the group of model +10 D(n=15)continued to increase the dose based on the model group up to the 10th day.Lactate dehydrogenase(LDH)and glutamic oxaloacetic transaminase(GOT)were detected by ELISA;HE staining was used to observe the pathological changes of myocardial tissues in each group;TUNEL staining was used to detect apoptosis in myocardial tissues in each group;and immunohistochemistry,RT-q-analysis,and immunochemistry were used to detect apoptosis in myocardial tissues in each group.Immunohistochemistry,RT-qPCR and Western bl-ot were used to detect the mRNA and protein expression of HK2,VDAC1 and apoptosis-related factors.Results HE staining revealed that myocardial tissues exhibited different degrees of damage with the prolongation of diacetylmorphine intervention.Compared with the normal group,serum LDH,GOT content and myocardial apoptosis rate increased in the model group,mRNA and protein levels of HK2 and anti-apoptotic factor Bcl-2 decreased,mRNA and protein levels of VDAC1 and pro-apoptotic factors Bax and Caspase-3 increased,and the protein level of Clevead Caspase-3 increased;in the model +10 D group the above indexes,there was a statistically significant difference(P<0.05).Conclusion Diacetylmorphine can cause cardiomyocyte apoptosis,and VDAC1 may be involved in the process of cardiomyocyte apoptosis caused by diacetylmorphine.

BackgroundThe existing tools in China for assessing psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint do not sufficiently consider the specialty in psychiatric practice， and the scale items are somewhat cumbersome to use， which together restrict their further promotion and application. Accordingly， there is an urgent need for developing a more scientific assessment tool. ObjectiveTo construct a scale for assessing psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint and to verify its reliability and validity， so as to provide a generic tool for the assessment. MethodsBased on the theoretical framework of the knowledge-attitude-practice model， the preliminary scale was formed through systematic literature review， qualitative interview and Delphi method. From July to December 2021， a stratified sampling was utilized to select 729 psychiatric nurses from tertiary， secondary and primary （including unclassified medical institutions and grassroots hospitals） psychiatric hospitals in Guangdong Province. The formal scale was developed through item analysis， exploratory factor analysis and confirmatory factor analysis. The validity of the scale was evaluated by content validity and structure validity， and the reliability was verified by procedures including Cronbach's α coefficient， test-retest reliability， and split-half reliability. ResultsA total of 12 items of three dimensions （knowledge， attitude， practice） were included in the scale for assessing psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint. The scale-level content validity index （S-CVI） was 0.941， and the item-level content validity index （I-CVI） ranged from 0.812 to 1.000. Exploratory factor analysis extracted three common factors， and the cumulative variance contribution rate was 62.948%. The confirmatory factor yielded adequate fit. Cronbach's α coefficient was found to be 0.887 for the scale， 0.819 for knowledge dimension， 0.842 for attitude dimension， and 0.831 for practice dimension. The split-half reliability and test-retest reliability for the scale were 0.712 and 0.922， respectively. ConclusionThe scale shows satisfactory reliability and validity， which can be used to assess psychiatric nurses' knowledge， attitude and practice towards the use of protective restraint. ［Funded by Guangdong Clinical Teaching Base Teaching Reform Research Project （number， 2021JD119）］

Background::Growth differentiation factor-15 (GDF-15) is a stress response protein and is related to cardiovascular diseases (CVD). This study aimed to investigate the association between GDF-15 and pre-eclampsia (PE).Method::The study involved 299 pregnant women, out of which 236 had normal pregnancies, while 63 participants had PE. Maternal serum levels of GDF-15 were measured by using enzyme-linked immunosorbent assay kits and then translated into multiple of median (MOM) to avoid the influence of gestational week at blood sampling. Logistic models were performed to estimate the association between GDF-15 MOM and PE, presenting as odd ratios (ORs) and 95% confidence intervals (CIs).Results::MOM of GDF-15 in PE participants was higher compared with controls (1.588 vs. 1.000, p < 0.001). In the logistic model, pregnant women with higher MOM of GDF-15 (>1) had a 4.74-fold (95% CI= 2.23-10.08, p < 0.001) increased risk of PE, adjusted by age, preconceptional body mass index, gravidity, and parity. Conclusions::These results demonstrated that higher levels of serum GDF-15 were associated with PE. GDF-15 may serve as a biomarker for diagnosing PE.

Background::Growth differentiation factor-15 (GDF-15) is a stress response protein and is related to cardiovascular diseases (CVD). This study aimed to investigate the association between GDF-15 and pre-eclampsia (PE).Method::The study involved 299 pregnant women, out of which 236 had normal pregnancies, while 63 participants had PE. Maternal serum levels of GDF-15 were measured by using enzyme-linked immunosorbent assay kits and then translated into multiple of median (MOM) to avoid the influence of gestational week at blood sampling. Logistic models were performed to estimate the association between GDF-15 MOM and PE, presenting as odd ratios (ORs) and 95% confidence intervals (CIs).Results::MOM of GDF-15 in PE participants was higher compared with controls (1.588 vs. 1.000, p < 0.001). In the logistic model, pregnant women with higher MOM of GDF-15 (>1) had a 4.74-fold (95% CI= 2.23-10.08, p < 0.001) increased risk of PE, adjusted by age, preconceptional body mass index, gravidity, and parity. Conclusions::These results demonstrated that higher levels of serum GDF-15 were associated with PE. GDF-15 may serve as a biomarker for diagnosing PE.

Osteoarthritis is a common degenerative joint disease, and cartilage damage is often considered an early factor in irreversible joint degeneration. Repairing damaged cartilage remains a medical challenge due to its limited ability to self-repair and regenerate. In recent years, the application of tissue engineering strategies to treat cartilage defects has been recognized as an emerging therapeutic avenue. Acellular cartilage matrix (ACM) is an ideal material for cartilage repair and regeneration as it retains the extracellular matrix structure and bioactive components of natural cartilage, mimicking the extracellular environment of natural cartilage to the greatest extent. Type II collagen is the main type of hyaline cartilage and plays an important role in regulating the mechanical properties of cartilage tissue. It has been shown that type II collagen, growth factors and the hypoxic microenvironment play important roles in promoting cartilage regeneration. Type II collagen induces cell aggregation and chondrogenic differentiation in a specific way; Various growth factors contained in the ACM induce Sox9 expression and promote chondrogenic differentiation of stem cells; The hypoxic microenvironment upregulates the expression of type II collagen (COL2A1), Sox9 and maintains chondrocyte phenotype. In addition, ACM has been widely used in cartilage regeneration studies, either as a decellularized scaffold, hydrogel or 3D bioprinting technique for the repair of defective cartilage. Although the ACM-derived biomaterials discussed in this paper have many advantages, there are still some difficulties in their practical applications, such as loss of ACM components and reduced scaffold performance, which are still worth exploring in depth.

Diagnostic Imaging ; Humans ; Myocardial Infarction/therapy*

Objective:To investigate the normal reference values of spinal bone mineral density measured by quantitative computed tomography (QCT) and the differences of bone mineral density (BMD) in different regions of in Chinese adult males.Methods:Men who underwent low-dose CT lung scan for cancer screening in regions of Northeast, North, East, South, Central and Southwest of China from January 2018 to December 2019 were selected. And the lumbar vertebrae BMD values in the male subjects were measured by the QCT system (Mindways Software, Inc.). The mean BMD values and their decline rates were calculated at an age interval of 10 years, and the prevalence of osteoporosis was calculated according to the American College of Radiology spine QCT osteoporosis diagnostic criteria.Results:A total of 50 682 males with a mean age of (50.22±12.79) years (ranged 20 to 98 years) were included in this study. The peak BMD of (173.11±28.56) mg/cm 3 in the healthy Chinese adult male population appeared in the age group of 20 to 29 years and then declined with age. Before the age of 70 years, the BMD was relatively higher in males in South China, and it was lower in Central China and Southwest China, and it was intermediate in Northeast, North and East of China, with statistically significant differences. There was no significant differences in BMD in the males in the two age groups of 70 to 79 years and 80 and older among the regions in China. The overall decline rate of spinal BMD in Chinese males under QCT was about 46.92% over the lifetime, and it declined obviouslyin the 40-49 age group. The overall prevalence of osteoporosis in Chinese male population aged 50 years and above was approximately 11.42%, with the highest prevalence in Southwest China and Central China (14.72% and 13.87%, respectively) and the lowest in North China and South China (8.53% and 7.71%, respectively). Conclusions:A reference of lumbar spine BMD values for healthy males in China based on QCT is established. BMD values were highest in South China and Lowest in Central China.

【Objective】 To establish and optimize a method for the determination of aluminum (Al) residue by inductively coupled plasma mass spectrometry (ICP-MS). 【Methods】 Nitric acid solution was used to treat samples and standards. The concentration of nitric acid solution and equipment parameters were optimized, and the specificity, linearity, repeatability, accuracy, detection limit, quantitative limit and intermediate precision of the optimized detection method were investigated to confirm whether it was suitable for the determination of Al residue in human serum albumin. 【Results】 The concentration of nitric acid was 5%, and digest time was 4 h. The equipment condition of ICP-MS was as follows: RF power: 1600 W, sampling depth: 10 mm, atomizer / carrier gas flow rate: 1.0 L/ min, compensation flow rate: 0.5 L/ min, experimental mode: standard mode, integration time: 0.2 s, data acquisition: 3 times. Specificity: The recoveries of Al: 92% (high concentration, RSD=3.5%), 98% (low concentration, RSD=4.9%). Linearity: In the range of (0~40) μg/L, the correlation coefficient between concentration and optical energy signal (CPS) of standard / sample were higher than 0.999 0. Accuracy/ Repeatability: The recoveries of sample (3 concentration): 108% (RSD=4.7%), 110% (RSD=4.9%) and 110% (RSD=2.8%). The detection limit was 0.006 μg/L, and the quantitation limit was 0.019 μg/L. Intermediate precision: personnel factor and date factor, P>0.05, RSD (12 times)=2%. Comparison between ICP-MS and atomic absorption spectrometry (AAS): the deviation between ICP-MS and AAS was 8%, and that of samples was 3%, with no significant difference noticed between the two methods. 【Conclusion】 After optimization, ICP-MS method has shown good performance in terms of specificity, linearity, repeatability, accuracy, detection limit, quantitative limit and intermediate precision, and is suitable for the determination of Al residue in human albumin products of our company.