Objective:To explore the association of blood and urinary cadmium levels with lipid profile levels and dyslipidemia in Chinese adults aged 18 to 79 years.Methods:Based on the China National Human Biomonitoring (CNHBM) program, a cross-sectional survey was conducted from 2017 to 2018 using a multi-stage stratified random sampling method, including a total of 10 713 adults aged 18 to 79 years. Data was obtained through questionnaires, physical examinations, biological sample collection, and laboratory testing. Multiple linear mixed effect model (MLMM) and generalized linear mixed effect model (GLMM) were used to analyze the association of blood and creatinine-corrected urinary cadmium levels with lipid profile levels as well as dyslipidemia among adults.Results:The age of 10 713 participants was (47.23±0.24) years, with 5 372 males accounting for 61.3% of the national population. The weighted mean±standard error (SE) of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) was (5.21±0.03), (1.86±0.03), (2.96±0.03), and (1.43±0.01) mmol/L, respectively. The prevalence rate of hypercholesterolemia, hypertriglyceridemia, mixed hyperlipidemia, low HDL-C, and high LDL-C was 16.0%, 21.6%, 6.6%, 13.5%, and 10.0%, respectively. MLMM showed that, after adjusting for relevant confounders, log-transformed blood cadmium levels were positively associated with increased levels of TC, TG and LDL-C ( P<0.05). When blood cadmium levels were categorized into quartiles, compared to the lowest exposure group ( Q1), participants in the highest blood cadmium exposure group ( Q4) had increases of 0.19 (95% CI: 0.06, 0.32) mmol/L in TC and 0.25 (95% CI: 0.08, 0.43) mmol/L in TG. GLMM indicated that, after adjusting for confounders, higher blood cadmium exposure levels were associated with increased risks of hypercholesterolemia, hypertriglyceridemia, mixed hyperlipidemia, and high LDL-C ( P<0.05). Further analysis by quartiles showed that, compared to the blood cadmium Q1 exposure group, the OR value (95% CI) for the Q4 group was 1.53 (1.12, 2.08) for hypercholesterolemia, 1.54 (1.09, 2.17) for hypertriglyceridemia, 2.24 (1.47, 3.40) for mixed hyperlipidemia, and 1.49 (1.07, 2.09) for high LDL-C. Conclusion:The cadmium internal exposure levels are associated with blood lipid profile levels as well as the incidence of dyslipidemia in Chinese adults aged 18 to 79.

Objective:To explore the association of blood and urinary cadmium levels with lipid profile levels and dyslipidemia in Chinese adults aged 18 to 79 years.Methods:Based on the China National Human Biomonitoring (CNHBM) program, a cross-sectional survey was conducted from 2017 to 2018 using a multi-stage stratified random sampling method, including a total of 10 713 adults aged 18 to 79 years. Data was obtained through questionnaires, physical examinations, biological sample collection, and laboratory testing. Multiple linear mixed effect model (MLMM) and generalized linear mixed effect model (GLMM) were used to analyze the association of blood and creatinine-corrected urinary cadmium levels with lipid profile levels as well as dyslipidemia among adults.Results:The age of 10 713 participants was (47.23±0.24) years, with 5 372 males accounting for 61.3% of the national population. The weighted mean±standard error (SE) of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) was (5.21±0.03), (1.86±0.03), (2.96±0.03), and (1.43±0.01) mmol/L, respectively. The prevalence rate of hypercholesterolemia, hypertriglyceridemia, mixed hyperlipidemia, low HDL-C, and high LDL-C was 16.0%, 21.6%, 6.6%, 13.5%, and 10.0%, respectively. MLMM showed that, after adjusting for relevant confounders, log-transformed blood cadmium levels were positively associated with increased levels of TC, TG and LDL-C ( P<0.05). When blood cadmium levels were categorized into quartiles, compared to the lowest exposure group ( Q1), participants in the highest blood cadmium exposure group ( Q4) had increases of 0.19 (95% CI: 0.06, 0.32) mmol/L in TC and 0.25 (95% CI: 0.08, 0.43) mmol/L in TG. GLMM indicated that, after adjusting for confounders, higher blood cadmium exposure levels were associated with increased risks of hypercholesterolemia, hypertriglyceridemia, mixed hyperlipidemia, and high LDL-C ( P<0.05). Further analysis by quartiles showed that, compared to the blood cadmium Q1 exposure group, the OR value (95% CI) for the Q4 group was 1.53 (1.12, 2.08) for hypercholesterolemia, 1.54 (1.09, 2.17) for hypertriglyceridemia, 2.24 (1.47, 3.40) for mixed hyperlipidemia, and 1.49 (1.07, 2.09) for high LDL-C. Conclusion:The cadmium internal exposure levels are associated with blood lipid profile levels as well as the incidence of dyslipidemia in Chinese adults aged 18 to 79.

OBJECTIVE To evaluate the correlation between the solid dispersion(SD) powder properties and the relative crystallinity(RC) during SD recrystallization. METHODS Andrographolide was used as model drug, polyvinylpyrrolidone K30, polyethylene glycol 8000, Poloxam 188, Soluplus® as carrier materials, 12 SD powders were prepared by three preparation processes, and then the SD powder properties were determined. Afterwards, the principle component analysis and partial least squares analysis(PLS) were used to evaluate the correlation between the SD powder properties and RC during SD recrystallization. RESULTS The correlation model was successfully established by partial least square method between the SD powder properties and the RC. The VIP value of particle size parameter D(0.5) was >1.2, which indicated that the particle size was the key factor affecting the recrystallization of SD powder. CONCLUSION In practical work, SD powder with different particle size parameters can be obtained by different preparation methods or by adjusting the process parameters of the selected preparation method, so as to improve the recrystallization stability of SD.

With the continuously increasing demands of plastic products in the current society, the challenge of disposing plastic waste is constantly increasing, leading to the urgent need of mitigating plastic pollution. As a consequence, much attention has been paid to biodegradable plastics due to their degradability in a bio-active environment under certain conditions. Biodegradable plastics herald vast development potentials and considerable market prospects. The degradation of numerous types of biodegradable plastics will be affected by many factors. A thorough understanding of degradation mechanisms as well as functional microbial strains and enzymes is the key to comprehensive utilization and efficient treatment and disposal of biodegradable plastics. The article summarized the types, properties, advantages and disadvantages, and main applications of common biodegradable plastics. The degradation mechanisms, functional microbial strains and enzymes, as well as the degradation degree and duration under different environmental conditions, were also summarized. This review may help better understand the degradation of biodegradable plastics wastes.
Biodegradable Plastics ; Biodegradation, Environmental

Objective:To examine the association of blood uric acid (UA) and cognitive impairment (CI) among oldest-old adults in China.Methods:Data was collected in 9 longevity areas of China from Healthy Aging and Biomarkers Cohort Study (HABCS) conducted during 2017-2018. Finally,1, 622 elderly aged 80 years and older with complete information on blood UA and cognitive function score were included in this study. Information on demographic characteristics, lifestyle, and health status were collected through questionnaire and physical examination. Venous blood samples of the participants were collected to test blood UA level. Cognitive impairment (CI) was assessed using the Chinese Mini-Mental State Examination (MMSE) according to personal educational level. Generalized Estimating Equations (GEE) model for binary data was used to analyze the association of blood UA and CI, and further compared the associations among different age and body mass index (BMI) groups.Results:Of the 1 622 oldest-old, the mean age was (92.2±8.1) years, 656 (40.4%) were male, the mean level of blood UA was (343.3±86.2) μmol/L, and 482 (29.7%) oldest-old had CI. Compared with the lowest quartile of UA, the risks of CI in the second, third and highest quartiles were gradually reduced, the corresponding ORs and 95% CI were 0.99 (0.71-1.33), 0.87 (0.68-0.94) and 0.69 (0.48-0.85), respectively; and the linear trend test was statistically significant ( P<0.001). Subgroup analysis showed that the effects of higher UA associated with lower risk of CI were stronger in younger oldest-old (aged 80-89 years) and thinner group (BMI<24) ( Pinteraction<0.05). Conclusions:Blood UA was negatively associated with the risk of having CI in the oldest-old among the nine longevity areas of China.

Objective:To investigate the relationship between the neutrophil-to-lymphocyte ratio (NLR) and the risk of depression symptoms among older adults aged 65 and above in 9 longevity areas of China.Methods:Data was collected in 9 longevity areas of China from Healthy Aging and Biomarkers Cohort Study (HABCS) conducted between 2017 and 2018. Finally,2018 elderly aged 65 years and above with complete information on neutrophil count, lymphocyte count and depressive symptoms were included in this study. Information on demographic characteristics, lifestyle, and health status was collected through questionnaire and physical examination. Complete blood counts which included lymphocytes and neutrophils were obtained by testing venous blood samples. Participants were divided into four groups by the quartile of NLR level, i.e. Q1, Q2, Q3, Q4. Logistic regression model was applied to analyze the association of NLR with depression symptoms. Results:Among 2 018 older adults, the mean(±SD) age was 82.6(±10.73), 1 032(51.14%) were male, 390(19.33%) were detected with depressive symptoms. Compared with participants of NLR in the 1 st quartile, the OR(95% CI) of risk for depressive symptoms was 1.47 (0.99, 2.19), 1.67 (1.13, 2.47) and 1.95 (1.32, 2.89), respectively. Conclusion:Increased NLR level is significantly related to depressive symptoms among elderly aged 65 years and above in 9 longevity areas in China.

Objective:To investigate the association of blood arsenic level with hyperuricemia among elderly aged 65 years and older.Methods:Data was collected in 9 longevity areas from Heathy Aging and Biomarkers Cohort Study between 2017 and 2018. 2 438 participants aged 65 years and older with complete information on blood arsenic and uric acid were included in this study. Information including demographics characteristic, life style and health status was collected by questionnaire and physical examination. Meanwhile, venous blood was collected to detect the levels of blood arsenic and uric acid. Subjects were stratified into three groups (low, middle and high) by tertiles of blood arsenic level. Logistic regression models were used to analyze the association of blood arsenic level with hyperuricemia.Results:The age of participants was (84.57±11.41) years, of which 1 172 (48.07%) were male and 1 525 (62.55%) were over 80 years old. The detection rate of hyperuricemia was 17.23% (420), and the detection rates of hyperuricemia were 11.77%, 19.25% and 20.62% among participants with low, middle and high blood arsenic, respectively ( P<0.001). After controlling confounding factors, compared with participants who had low blood arsenic, the ORs (95% CI) of hyperuricemia for the participants with middle and high blood arsenic were 1.57 (1.12-2.23) and 2.08 (1.46-2.99), respectively. Subgroups analysis showed that compared with female, the association between blood arsenic level and hyperuricemia was more obvious in males ( Pinteraction<0.05). Conclusion:Blood arsenic level is associated with the risk for hyperuricemia among the elderly aged 65 years and older in 9 longevity areas in China.

Objective:To examine the association of blood uric acid (UA) and cognitive impairment (CI) among oldest-old adults in China.Methods:Data was collected in 9 longevity areas of China from Healthy Aging and Biomarkers Cohort Study (HABCS) conducted during 2017-2018. Finally,1, 622 elderly aged 80 years and older with complete information on blood UA and cognitive function score were included in this study. Information on demographic characteristics, lifestyle, and health status were collected through questionnaire and physical examination. Venous blood samples of the participants were collected to test blood UA level. Cognitive impairment (CI) was assessed using the Chinese Mini-Mental State Examination (MMSE) according to personal educational level. Generalized Estimating Equations (GEE) model for binary data was used to analyze the association of blood UA and CI, and further compared the associations among different age and body mass index (BMI) groups.Results:Of the 1 622 oldest-old, the mean age was (92.2±8.1) years, 656 (40.4%) were male, the mean level of blood UA was (343.3±86.2) μmol/L, and 482 (29.7%) oldest-old had CI. Compared with the lowest quartile of UA, the risks of CI in the second, third and highest quartiles were gradually reduced, the corresponding ORs and 95% CI were 0.99 (0.71-1.33), 0.87 (0.68-0.94) and 0.69 (0.48-0.85), respectively; and the linear trend test was statistically significant ( P<0.001). Subgroup analysis showed that the effects of higher UA associated with lower risk of CI were stronger in younger oldest-old (aged 80-89 years) and thinner group (BMI<24) ( Pinteraction<0.05). Conclusions:Blood UA was negatively associated with the risk of having CI in the oldest-old among the nine longevity areas of China.

Objective:To investigate the relationship between the neutrophil-to-lymphocyte ratio (NLR) and the risk of depression symptoms among older adults aged 65 and above in 9 longevity areas of China.Methods:Data was collected in 9 longevity areas of China from Healthy Aging and Biomarkers Cohort Study (HABCS) conducted between 2017 and 2018. Finally,2018 elderly aged 65 years and above with complete information on neutrophil count, lymphocyte count and depressive symptoms were included in this study. Information on demographic characteristics, lifestyle, and health status was collected through questionnaire and physical examination. Complete blood counts which included lymphocytes and neutrophils were obtained by testing venous blood samples. Participants were divided into four groups by the quartile of NLR level, i.e. Q1, Q2, Q3, Q4. Logistic regression model was applied to analyze the association of NLR with depression symptoms. Results:Among 2 018 older adults, the mean(±SD) age was 82.6(±10.73), 1 032(51.14%) were male, 390(19.33%) were detected with depressive symptoms. Compared with participants of NLR in the 1 st quartile, the OR(95% CI) of risk for depressive symptoms was 1.47 (0.99, 2.19), 1.67 (1.13, 2.47) and 1.95 (1.32, 2.89), respectively. Conclusion:Increased NLR level is significantly related to depressive symptoms among elderly aged 65 years and above in 9 longevity areas in China.

Objective:To investigate the association of blood arsenic level with hyperuricemia among elderly aged 65 years and older.Methods:Data was collected in 9 longevity areas from Heathy Aging and Biomarkers Cohort Study between 2017 and 2018. 2 438 participants aged 65 years and older with complete information on blood arsenic and uric acid were included in this study. Information including demographics characteristic, life style and health status was collected by questionnaire and physical examination. Meanwhile, venous blood was collected to detect the levels of blood arsenic and uric acid. Subjects were stratified into three groups (low, middle and high) by tertiles of blood arsenic level. Logistic regression models were used to analyze the association of blood arsenic level with hyperuricemia.Results:The age of participants was (84.57±11.41) years, of which 1 172 (48.07%) were male and 1 525 (62.55%) were over 80 years old. The detection rate of hyperuricemia was 17.23% (420), and the detection rates of hyperuricemia were 11.77%, 19.25% and 20.62% among participants with low, middle and high blood arsenic, respectively ( P<0.001). After controlling confounding factors, compared with participants who had low blood arsenic, the ORs (95% CI) of hyperuricemia for the participants with middle and high blood arsenic were 1.57 (1.12-2.23) and 2.08 (1.46-2.99), respectively. Subgroups analysis showed that compared with female, the association between blood arsenic level and hyperuricemia was more obvious in males ( Pinteraction<0.05). Conclusion:Blood arsenic level is associated with the risk for hyperuricemia among the elderly aged 65 years and older in 9 longevity areas in China.