Objective:To investigate the association and predictive value of serum biomarkers with carotid atherosclerosis(CAS)in the elderly population.Methods:The data used in this study were obtained from the China Hainan Centenarian Cohort Study(CHCCS), a prospective cohort that includes elderly individuals from community populations in Hainan Province.The baseline survey was conducted between 2014 and 2019.A total of 737 elderly individuals aged 80 to 100 were included in the analysis.The study examined various factors including questionnaires, physical examination data, liver and kidney function indicators(albumin, aspartate aminotransferase, alanine aminotransferase, total bilirubin, and glomerular filtration rate), blood cell counts(red blood cells, white blood cells, platelets, neutrophil count, lymphocyte count, and monocyte count), inflammatory markers(high-sensitivity C-reactive protein), and lipid metabolism markers(total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, apolipoprotein AI, and apolipoprotein B).The objective was to explore the lipids of serum biomarkers and diagnostic performance of carotid atherosclerosis.Results:The prevalence of CAS in the elderly population was found to be 80.7%.Spearman's correlation analysis and a fully adjusted multivariate logistic regression model were used to examine the relationship between CAS and various factors in elderly patients.Result showed that systolic blood pressure, heart rate, and serum apolipoprotein B levels were significantly correlated with CAS[ OR(95% CI): 1.012(1.004-1.021), 0.998(1.011-1.024); 15.796(4.914-50.772), respectively; all P<0.001].Additionally, ROC curve analysis demonstrated that the combined application of serum apolipoprotein B, systolic blood pressure, and heart rate improved the predictive value of CAS in the elderly(Area under the curve: 0.820, 95% CI: 0.782-0.858; Sensitivity: 78.8%; Specificity: 86.8%; Positive likelihood ratio: 5.97; Negative likelihood ratio: 0.24). Conclusions:Our study discovered that serum apolipoprotein B is an autonomous risk factor for CAS among the elderly.The utilization of a specific set of biomarkers, in conjunction with other risk markers, holds potential as a promising strategy for evaluating CAS in the elderly population.

OBJECTIVE Alzheimer's disease(AD)is the most common neurodegenerative disease worldwide.Neuroinflammation is a potential target for the patients with AD.It is attributed to activated microglia and the release of various inflammatory mediators from infec-tion,ischemia and toxin accumulation.Accumulating evi-dence has indicated that the cGAS-STING pathway driven neuroinflammation in neurological disease.TSG is a main natural active ingredient that derived from polyg-onum multiflorum.Previous research from our group found that TSG has beneficial effects of anti-aging,anti-inflammatory action and improving memory function in APP/PS1 transgenic AD mice.Here,we investigated the effects of TSG on cognitive impairment and neuroinflam-mation in APP/PS1-AD mice and explore the underly-ing mechanism by which TSG ameliorates memory func-tion in the cGAS-STING-mediated inflammatory response.METHODS The Morris water mace test and the novel object recognition test were performed to test the effects of TSG on spatial learning and cognitive and memory abil-ity in APP/PS1 double transgenic AD mice model.In addi-tion,real-time quantitative PCR,Western blotting,ELISA analysis,and flow cytometry to examine gene and pro-tein expression of cGAS-STING related pro-inflammatory cytokines and chemokines.Statistical analyses were ana-lyzed using the SPSS 25.0 package by analysis of vari-ance(ANOVA).Neuman-Keuls or Tukey's multiple-com-parisons test were conducted as ANOVA justified post hoc comparisons between group means.RESULTS We demonstrated that AD transgenic mice exhibited cognitive deficits accompanied by the elevated serum and brain inflammation.The expressions of serum inflammatory cytokines and the activation of microglia in cerebral cor-tex and hippocampus were suppressed after TSG treat-ment,which was probably attributable to the decrease of cyclic GMP-AMP synthase(cGAS)and stimulator of interferon genes(STING)triggered immune response.Additionally,the data showed that TSG treatment reduced the expression level of inflammatory cytokines(IL-1β,TNF-α,IFN-β,IFN-α)in microglial cells BV2 primed with LPS and IFN-γ.CONCLUSION TSG implicated the health benefits in preventing cognitive disorders by inhib-iting neuroinflammation via cGAS-STING signalling path-way in AD.

Objective:To explore the method of constructing automatic delineation model for clinical target volume (CTV) and partially organs at risk (OAR) of postoperative radiotherapy for prostate cancer based on convolutional neural network, aiming to improve the clinical work efficiency and the unity of target area delineation.Methods:Postoperative CT data of 117 prostate cancer patients manually delineated by one experienced clinician were retrospectively analyzed. A multi-class auto-delineation model was designed based on 3D UNet. Dice similarity coefficient (DSC), 95% Hausdorf distance (95%HD), and average surface distance (ASD) were used to evaluate the segmentation ability of the model. In addition, the segmentation results in the test set were evaluated by two senior physicians. And the CT data of 78 patients treated by other physicians were also collected for external validation of the model. The automatic segmentation of these 78 patients by CTV-UNet model was also evaluated by two physicians.Results:The mean DSC for tumor bed area (CTV1), pelvic lymph node drainage area (CTV2), bladder and rectum of CVT-UNet auto-segmentation model in the test set were 0.74, 0.82, 0.94 and 0.79, respectively. Both physicians' scoring results of the test set and the external validation showed more consensus on the delineation of CTV2 and OAR. However, the consensus of CTV1 delineation was less.Conclusions:The automatic delineation model based on convolutional neural network is feasible for CTV and related OAR of postoperative radiotherapy for prostate cancer. The automatic segmentation ability of tumor bed area still needs to be improved.

Centenarians are known as the "model population" in the study of healthy aging. Understanding their characteristics of health and longevity and its related influencing factors would facilitate the exploration of the possible path to achieve health and longevity under the background of population aging in China. In recent years, the population based observational studies, including China Hainan Centenarian Cohort Study (CHCCS), have found the main health characteristics of centenarians and their relationship with quality of life. This paper summarizes the relevant research results from CHCCS in recent years, and compare them with the results of similar domestic studies. The main health indicators include blood pressure, blood lipid, blood glucose, hemoglobin, body measurement and renal function. The health outcomes including diet, nutrition, health-related quality of life, activities of daily living, geriatric syndrome. The results are expected to provide epidemiological evidence for the development of healthy aging policies.

Objective:To explore the association between parathyroid hormone (PTH) and all-cause death in the centenarians in Hainan Province.Methods:The study was based on China Hainan Centenarian Cohort Study, a total of 1 002 centenarians were included in the baseline survey, the follow up was conducted to collect the information about their death outcome. The association between baseline PTH level and all-cause death was analyzed by Cox proportional risk regression model using continuous variables, dichotomous variables, and quad variables as independent variables of the centenarians.Results:As of May 31 st, 2021, a total of 522 centenarians had died in the follow up period, the median of the follow up time was 4.16 (1.31,5.04) years, and the mortality rate was 52.10%. After fully adjusting the covariates, the multiple Cox proportional hazards regression analyses showed that the risk of all-cause death increased by 3.7% for every 10 pg/ml increase in PTH value, the HR was 1.037 (95% CI: 1.007-1.067) in all the centenarians. The risk of death in the centenarians in the highest PTH group was 1.458 (95% CI: 1.131-1.878) times higher than that in the lowest PTH group. Conclusions:Higher parathyroid hormone level was associated with the elevated risk for all-cause death in the centenarians in Hainan. PTH can be used as a reference index for the prediction of the death risk of long-lived elderly in community.

Objective:To examine the association between depression and all-cause death in centenarians in Hainan Province.Methods:Based on China Hainan Centenarian Cohort Study, 1 002 centenarians with integral data were included in the baseline survey, follow up was conducted to collect the information about their survival status and death outcome. Depression was evaluated by the 15-item Geriatric Depression Scale (GDS-15) and based on the evaluation scores, the mental status of the centenarians was classified as: severe depressive disorder (MDD; score ≥10), minor depressive disorder (MnDD; score 6-9), and normal status (score ≤5). Multivariable-adjusted Cox proportional hazards regression models was used to estimate the hazard ratios ( HRs) and 95% CIs. Results:As of May 31 st, 2021, a total of 522 deaths had been reported, with a mortality density of 152.39/1 000 person-years and a median follow up time M( Q1, Q3) of 4.16 (1.31, 5.04) years, in the centenarians. After adjusting the factors of socio-demographic characteristics and lifestyle, multivariate Cox regression analysis showed that the risk of all-cause mortality increased by 3.1% for every 1-point increase in GDS-15 score ( HR=1.031, 95% CI: 1.002-1.061). Compared with centenarians with normal status, the risk of mortality in the centenarians with MDD increased by 35.9% ( HR=1.359, 95% CI: 1.023-1.806), the centenarians with MDD had an average 1.94 years of life lost. Among the female centenarians, the risk of mortality in MnDD group and MDD group increased by 29.3% ( HR=1.293, 95% CI: 1.053-1.590) and 42.3% ( HR=1.423, 95% CI: 1.047-1.935) compared with normal group, those with MDD had an average 1.71 years of life lost. Conclusions:Depression was related to the increased risk of all-cause death and life lost in the centenarians in Hainan.

Objective:To describe and analyze the relationship between traditional and new obesity related anthropometric indicators and all-cause death in centenarians in Hainan, the traditional and new obesity related anthropometric indicators included BMI, waist circumference (WC), waist hip ratio (WHR), waist height ratio, calf circumference (CC), waist-calf ratio (WCR), lipid accumulation product (LAP), visceral adiposity index (VAI), Chinese visceral adiposity index (CVAI), a body shape index (ABSI), a body shape index of Chinese (CABSI) and body roundness index.Methods:A total of 1 002 centenarians in Hainan were selected by cluster sampling. The M( Q1,Q3) follow-up time was 4.16 (1.31, 5.04) years and the outcome was all-cause death. Multiple Cox regression model was used to analyze the relationship between the obesity related anthropometric indicators and all-cause death, and the area under receiver operating characteristic curve was used for comparison. Results:In all the centenarians, CC had the strongest power to predict death, with area under curve (AUC) of 0.61 (95% CI:0.57-0.64), the gender specific results were consistent with that in overall population ( P<0.05), followed by WCR with AUC of 0.58, and then BMI, LAP and WC with AUC of 0.55, 0.55 and 0.54 respectively, while CABSI, WHR and VAI had the weaker power to predict death with AUC of 0.51, 0.50 and 0.50 respectively. Conclusions:This was the first study to prospectively compare and analyze the association between 12 obesity related anthropometric indicators and all-cause death in a large sample cohort of centenarians in China. It was found that CC had the best prediction power for death, and the risk for death decreased with the increase of CC value in a dose-response manner. It is suggested that CC can be used as a reference index for death risk monitoring in the elderly.

Objective:To understand the associations of various levels of systolic and diastolic blood pressure levels and related factors with all-cause death in the centenarians in Hainan Province.Methods:The data were obtained from China Hainan Centenarian Cohort Study, a prospective cohort study which included 1 002 centenarians. Cox proportional risk regression models were used to analyze the associations of blood pressure and related factors with all-cause death in the centenarians.Results:As of May 31, 2021, with the median of the follow-up time of 4.16 years, and the mortality density had reach 15.24 per 100 person-years. After grouping by SBP and DBP quartiles, the Q1 of SBP and Q2 of DBP caused the lowest mortality density (12.73 per 100 person-years and 14.10 per 100 person-years relatively). In all the centenarians, compared with the Q1 of SBP (≤137 mmHg, 1 mmHg=0.133 kPa), Q2, Q3 and Q4 were all positively associated with all-cause death. In the female population, the HRs of SBP's Q2, Q3 and Q4 were 1.343, 1.355 and 1.420 respectively ( Q1 as reference), and the HRs of DBP's Q1, Q3 and Q4 were 1.468, 1.800 and 1.504 respectively ( Q2 as reference), showing a roughly U-shaped association. Interactive analysis showed multiplicative interaction between SBP and BMI. Conclusions:In the centenarians in Hainan, different levels of systolic and diastolic blood pressure were associated with all-cause death. In the centenarians, DBP might have a suitable level or range in which the risk of death is relatively low. Different BMI status might affect the associations of blood pressure levels with death outcomes.

Objective:To explore the association between nutritional status and all-cause death in the centenarians in Hainan Province.Methods:Based on the survey data of China Hainan Centenarian Cohort Study from 2014 to 2021, a total of 1 002 Hainan centenarians with complete baseline data were included in this study, and their survival status and death outcome were surveyed. According to the Mini Nutritional Assessment Short-Form (MNA-SF), the centenarians were divided into three groups: well-nourished (12-14), at risk of malnutrition (8-11), and malnutrition (0-7). The survival status of the centenarians was evaluated by Kaplan-Meier curve. Cox proportional hazards regression model was used to assess the association between nutritional status and all-cause death.Results:After the follow-up on May 31, 2021, we had found that 522 centenarians died, with an all-cause mortality rate of 52.10% (522/1 002). Compared with the well-nourished group, the average life lost caused by malnutrition was 0.62 years. Kaplan-Meier survival analysis showed that all-cause mortality rate was higher in the malnourished centenarians than in other groups ( χ2=16.45, P<0.001). Multivariate Cox proportional hazards regression model showed that the risk of all-cause mortality rate in malnourished centenarians was higher than that in well-nourished centenarians ( HR=1.65, 95% CI: 1.18-2.31). Subgroup analysis found that the association in female centenarians was more significant. Conclusions:Malnutrition was associated with a high risk of all-cause death in Hainan centenarians. It is suggested that we should timely evaluate and pay attention to the impact of nutritional status of centenarians on their health and longevity, and death, especially in the female elderly.

Objective:To investigate the distribution characteristics of sex hormones and their relationship with all-cause mortality in Hainan female centenarians.Methods:All the subjects were from China Hainan Centenarian Cohort Study. A total of 717 female centenarians were included in the final analysis. Kaplan-Meier method was used to draw the survival curve, and Cox proportional hazard regression was used to analyze the relationship between sex hormones and survival time.Results:The M( Q1, Q3) of estradiol and progesterone among female centenarians was 32.60 (18.40, 58.70) pmol/L and 0.62 (0.32, 1.01) nmol/L. The estradiol (pmol/L) and progesterone (nmol/L) in the survival and death groups were 26.65 vs.37.80, 0.54 vs.0.69, respectively, with statistical differences ( P<0.05). Cox multivariate analysis showed that estradiol and progesterone were significantly associated with death ( P<0.05), the hazard ratio ( HR) of estradiol Q4 was 1.58 (95% CI: 1.17-2.15), and the HR of progesterone Q3 was 1.53 (95% CI: 1.10-2.12), HR for Q4 was 1.63 (95% CI: 1.15-2.32). Subgroup and cross-analysis showed that estradiol was statistically significant with hypertension, diabetes, and low high-density lipoprotein cholesterol ( P<0.05), and progesterone interacted with diabetes ( P=0.016), while testosterone interacted with low high-density lipoprotein cholesterol ( P=0.034). Conclusion:It is suggested that the estrogen levels of female centenarians in Hainan were associated with a higher mortality risk and an increased risk of cardiovascular metabolic disease (such as diabetes, hypertension, and abnormal lipid metabolism).