Objective To explore the correlation between changes of gray matter volume and related cognitive impairment domains in patients with cognitive impairment of cerebral small vessel disease(CSVD)based on 7.0T magnetic resonance imaging(MRI)and voxel-based morphometry(VBM).Methods All subjects were recruited from the study on Correlation between Cerebral Deep Medullary Vein Morphology and Cognitive Impairment due to Cerebral Small Vessel Disease(registration No.:ChiCTR2100045136)from September 2021 to June 2023.We retrospectively enrolled CSVD patients with cognitive impairment as CSVD group and healthy controls with matched age,gender and education level as control group according to inclusion and exclusion criteria.Montreal cognitive assessment(MoCA)scale(Beijing version)score＜26 was divided into cognitive impairment.All subjects was assessed with MoCA,digit span test(DST),digit symbol substitution test(DSST),trail making test-A(TMT-A),verbal fluency test(VFT),Boston naming test(BNT)and auditory verbal learning test(AVLT).All subjects underwent 7.0T brain MRI scan to acquire T1-weighted three-dimensional magnetization prepared 2 rapid gradient echo(T1WI-MP2RAGE)for VBM analysis.General data and above cognitive function scores were compared between 2 groups.VBM analysis was used to compare the gray matter volume(GMV)between 2 groups and get mean GMV of significant brain regions of CSVD to explore the correlation between regions and cognitive function scores.Results(1)There were 18 individuals in control group,aged 55-70 years,and 19 individuals in CSVD group,aged 57-75 years.There was no significant difference in age,gender,education,body mass index,history of coronary heart disease,history of hyperlipidemia,smoking,drinking,total cholesterol,triglyceride,low density lipoprotein and high density lipoprotein between the two groups(all P＞0.05).But the proportion of hypertension and diabetes history in the CSVD group was higher than control group,and there were significant differences between the two groups(12/19 vs.5/18,7/19 vs.0;all P＜0.05).(2)The scores of MoCA scale(22.0[20.0,23.0]vs.27.0[26.0,28.0],Z=-5.242),DSST(18±9 vs.40±4,t=5.212),DST(10.6±2.5 vs.13.9±2.0,t=4.364),VFT(38±11 vs.47±8,t=3.224),AVLT-immediate memory(13±3 vs.21±4,t=6.877),AVLT-short delay recall(3.4±2.5 vs.6.9±2.2,t=4.555)and BNT(22.7±3.6 vs.27.0±2.1,t=4.357)in CSVD group were lower than those in the control group.The time taken to complete TMT-A in CSVD group was longer than the control group(93.00[76.04,125.69]s vs.29.77[25.75,40.97]s,Z=-4.832).The difference of the above between two group was statistically significant(all P＜0.01).(3)Brain parenchymal fraction in CSVD group was lower than control group,and there was significant difference between two group([78.2±4.3]％vs.[80.9±3.7]％,t=2.079,P＜0.05).VBM analysis showed that gray matter volume of right inferior temporal gyrus(rITG)and right Crus 2 of cerebellar hemisphere(rCERCRU2)in CSVD group was significantly lower than control group(both P＜0.05 and corrected by false discovery rate).(4)Partial correlation analysis showed a positive correlation between gray matter volume in rITG and AVLT-short delay recall score(r=0.543,P=0.036).Conclusions CSVD patients with cognitive impairment had gray matter atrophy in rITG and rCERCRU2 and the gray matter volume in rITG was correlated with delayed memory impairment.The results of this study need to be further verified.

Objective:To investigate the prevalence of metabolic syndrome(MS) among adult residents with different characteristics and the relationship between serum uric acid(SUA) level and MS using the data of Chinese Adult Chronic Diseases and Nutrition Surveillance(2018) program in Anhui.Methods:Multi-stage stratified cluster random sampling was used to select participants aged 18 and over for questionnaires, physical measurements, and laboratory tests. The complex weighted method was used to estimate the prevalence of MS among residents with different characteristics. Logistic regression model based on complex sampling data was used to analyze the relationship between SUA and MS. Receiver operating characteristic(ROC) curve was used to evaluate the reliability of SUA in diagnosing MS and determine the optimal cutoff point.Results:A total of 7 182 participants were included and the prevalence of MS among adult residents was 29.46%. The prevalence of MS was higher in females(33.76%) than that in males(25.28%), and the difference was statistically significant( P<0.05). After adjusting for other factors, for every 10 μmol/L increase in SUA, the risk of MS increased by 4% in males( OR=1.040, 95% CI 1.019-1.061) and 7% in females( OR=1.070, 95% CI 1.059-1.082). The area under the curve(AUC) for SUA in diagnosing MS was 0.816(95% CI 0.806-0.826), with a sensitivity of 0.761 and specificity of 0.727. The optimal cutoff point for SUA was 450 μmol/L. Conclusion:The prevalence of MS among adult residents in Anhui Province is 29.46%. SUA is a risk factor for MS, and increasing SUA level indicated a higher risk of MS. The optimal cutoff value of SUA may be helpful in diagnosing MS.

Objective:To analyze and predict the future trend of the premature mortality of major chronic and non-communicable diseases in Anhui Province, evaluate the implementation of the "Healthy China 2030" Plan, and explore its influencing factors.Methods:Using data from death-cause surveillance and statistical yearbooks in Anhui, the trend prediction and analysis on influencing factors were conducted by using methods such as time series accumulation and logarithmic linear Joinpoint regression, principal component regression.Results:In Anhui, 28.10% of the deaths were premature ones, of which 84.40% were attributed to chronic and non-communicable diseases. In premature deaths attributed to chronic and non-communicable diseases, the deaths caused by malignant tumor and cardiovascular disease accounted for 45.88% and 41.65% respectively. The prediction results showed that the premature mortality of major chronic and non-communicable diseases would decrease in Anhui in the future, and by 2030, the goal in the "Healthy China 2030" Plan would be reached only in rural area. To reduce premature death, it is necessary to pay attention to the prevention and control of malignant tumor and cardiovascular disease. Men in urban area are the key population. Factors that reflect urban infrastructure had a significant impact on premature mortality of major chronic non-communicable diseases, such as garden and green space area per capita. Factors such as concentration of PM 2.5 had a negative impact on premature mortality of chronic non-communicable diseases, while factors such as garden and green space area per capita had a positive impact. Conclusions:Disease burden caused by chronic and non-communicable diseases, such as malignant tumor, exits in Anhui. Men in urban area are key population in the prevention and control of chronic and non-communicable diseases in the future.

Mitophagy is a process whereby cells selectively remove mitochondria through the mechanism of autophagy, which plays an important role in maintaining cellular homeostasis. In order to explore the effect of mitophagy genes on the antioxidant activities of Saccharomyces cerevisiae, mutants with deletion or overexpression of mitophagy genes ATG8, ATG11 and ATG32 were constructed respectively. The results indicated that overexpression of ATG8 and ATG11 genes significantly reduced the intracellular reactive oxygen species (ROS) content upon H₂O₂ stress for 6 h, which were 61.23% and 46.35% of the initial state, respectively. Notable, overexpression of ATG8 and ATG11 genes significantly increased the mitochondrial membrane potential (MMP) and ATP content, which were helpful to improve the antioxidant activities of the strains. On the other hand, deletion of ATG8, ATG11 and ATG32 caused mitochondrial damage and significantly decreased cell vitality, and caused the imbalance of intracellular ROS. The intracellular ROS content significantly increased to 174.27%, 128.68%, 200.92% of the initial state, respectively, upon H₂O₂ stress for 6 h. The results showed that ATG8, ATG11 and ATG32 might be potential targets for regulating the antioxidant properties of yeast, providing a new clue for further research.
Mitophagy/genetics* ; Saccharomyces cerevisiae/genetics* ; Antioxidants ; Hydrogen Peroxide/pharmacology* ; Reactive Oxygen Species