The association between essential trace element mixture and cognitive function in Chinese community-dwelling older adults.

BACKGROUND: The evidence about the effect of essential trace element (ETE) mixture on cognitive function amongst older adults is limited. This study aims to evaluate the associations of single ETEs and ETE mixture with cognitive function using a representative sample of community-dwelling older adults in China. METHODS: A total of 3814 older adults were included in the study. Urinary concentrations of selenium (Se), vanadium (V), cobalt (Co), strontium (Sr), and molybdenum (Mo) were detected by inductively coupled plasma mass spectrometry. Cognitive function in older adults was assessed using the Chinese version of the Mini-Mental State Examination (MMSE). Linear regression and Bayesian kernel machine regression (BKMR) were performed to explore the associations of single ETEs and ETE mixture with cognitive function, respectively. RESULTS: Linear regression showed that urinary levels of Se and V were positively associated with MMSE scores in the adjusted single-element models. BKMR also showed marginally positive associations of Se and V with MMSE scores. Moreover, higher urinary levels of ETE mixture were significantly associated with increased MMSE scores in a dose-response pattern, and Se was the most important contributor within the mixture. Both Se and V demonstrated positive additive effects on the associations of other ETEs with MMSE scores, whereas Co had a negative additive effect. CONCLUSIONS: V and Se are positively associated with cognitive function, individually and as a mixture. ETE mixture exhibits a linear dose-response association with improved cognitive function, with Se being the most important component within the mixture. Mixture analyses rather than single ETE analyses may provide a real-world perspective on the relationship between ETE mixture and cognitive function. Further cohort studies are needed to clarify the association of multiple ETEs with cognitive function.

The association of marital status with cognitive function and the role of gender in Chinese community-dwelling older adults: a cross-sectional study.

BACKGROUND: Evidence of the association between marital status and cognitive function in Chinese older adults is limited. AIMS: To examine the relationship between marital status and cognitive function and to explore the role of gender amongst older adults from three Chinese communities. METHODS: A total of 1376 participants aged 60 years or over were included in this cross-sectional study. Cognitive function was assessed using the Chinese version of the mini-mental state examination (MMSE). Marital status and other variables were collected using a standardized questionnaire. Multiple linear regression models were used to examine associations between marital statuses and cognitive function amongst the target population. The moderating role of gender in these potential associations has also been explored. RESULTS: In univariate linear regression models, compared to being married, both being widowed (ß [95% CI]: -1.46[-2.78 to - 0.13]) and being single (ß [95% CI]: - 4.88[-6.43 to - 3.38]) were associated with lower MMSE scores. After adjustment for confounding factors, the significant association of being widowed with MMSE scores disappeared (ß [95% CI: - 0.08[- 1.04 to 0.86]), but the association of being single with MMSE scores still existed (ß [95% CI]: - 1.87[- 3.17 to - 0.58]). Furthermore, the association of being single with MMSE scores was statistically significant in men (ß [95% CI]: - 5.25[- 7.17 to - 3.33]) but not in women (ß [95% CI: 0.88[- 0.87 to 2.64]). DISCUSSION AND CONCLUSIONS: Being single was associated with poorer cognitive function compared with their married counterparts in older Chinese men but not in women. More preventive measurements should be implemented for single men to reduce or delay cognitive decline. This is particularly important in the context of an aging population in China.

The associations between urinary metals and metal mixtures and kidney function in Chinese community-dwelling older adults with diabetes mellitus.

BACKGROUND: Previous studies have found associations between single toxic metals, such as arsenic and cadmium, and kidney function in adults with diabetes. However, studies with regards to other metals and metal mixtures are still limited. OBJECTIVE: Our study aimed to investigate the associations between urinary concentrations of 5 selected metals and metal mixtures and kidney function using a sample of older adults with diabetes mellitus in Chinese communities. METHODS: In a sample of older adults (n = 5186), 592 eligible subjects were included in this study. Urinary concentrations of 5 metals, i.e., arsenic (As), cadmium (Cd), vanadium (V), cobalt (Co), and thallium (Tl), were measured by inductively coupled plasma mass spectrometer (ICP-MS). Estimated glomerular filtration rate (eGFR) was calculated and dichotomized into indicator of chronic kidney disease (CKD). Logistic analysis and Bayesian kernel machine regression (BKMR) were used to explore the associations between single metals and metal mixtures and CKD, respectively. RESULTS: Urinary levels of As and V were positively correlated with CKD (OR=2.37, 95% CI: 1.31-4.30 for As; OR=2.24, 95% CI: 1.25-4.03 for V), when compared the 4th quartile with the 1st quartile. After adjustment for potential confounders, the significant association between As and CKD still existed (OR=2.73, 95% CI: 1.23-6.07). BKMR analyses showed strong linear positive associations between As and V and CKD. Higher urinary levels of the mixture were significantly associated with higher odds of CKD in a dose-response pattern. As and V showed the highest posterior inclusion probabilities. CONCLUSION: Urine As and V were positively associated with CKD in older adults with diabetes mellitus, separately and in a mixture. The metals mixture showed a linear dose-response association with the odds of CKD. The analyses of mixtures, rather than of single metals, may provide a real-world perspective on the relationship between metals and kidney function.

Ambient nitrogen dioxide and cardiovascular diseases in rural regions: a time-series analyses using data from the new rural cooperative medical scheme in Fuyang, East China.

Most of studies relating ambient nitrogen dioxide (NO2) exposure to hospital admissions for cardiovascular diseases (CVDs) were conducted among urban population. Whether and to what extent these results could be generalizable to rural population remains unknown. We addressed this question using data from the New Rural Cooperative Medical Scheme (NRCMS) in Fuyang, Anhui, China. Daily hospital admissions for total CVDs, ischaemic heart disease, heart failure, heart rhythm disturbances, ischaemic stroke, and haemorrhagic stroke in rural regions of Fuyang, China, were extracted from NRCMS between January 2015 and June 2017. A two-stage time-series analysis method was used to assess the associations between NO2 and CVD hospital admissions and the disease burden fractions attributable to NO2. In our study period, the average number (standard deviation) of hospital admissions per day were 488.2 (117.1) for total CVDs, 179.8 (45.6) for ischaemic heart disease, 7.0 (3.3) for heart rhythm disturbances, 13.2 (7.2) for heart failure, 267.9 (67.7) for ischaemic stroke, and 20.2 (6.4) for haemorrhagic stroke. The 10-µg/m3 increase of NO2 was related to an elevated risk of 1.9% (RR: 1.019, 95% CI: 1.005 to 1.032) for hospital admissions of total CVDs at lag0-2 days, 2.1% (1.021, 1.006 to 1.036) for ischaemic heart disease, and 2.1% (1.021, 1.006 to 1.035) for ischaemic stroke, respectively, while no significant association was observed between NO2 and hospital admissions for heart rhythm disturbances, heart failure, and haemorrhagic stroke. The attributable fractions of total CVDs, ischaemic heart disease, and ischaemic stroke to NO2 were 6.52% (1.87 to 10.94%), 7.31% (2.19 to 12.17%), and 7.12% (2.14 to 11.85%), respectively. Our findings suggest that CVD burdens in rural population are also partly attributed to short-term exposure to NO2. More studies across rural regions are required to replicate our findings.

[Chemical constituents in the leave of Rhizophora stylosa L and their biological activities].

Ten compounds were isolated from the leaves of Rhizophora stylosa, one kind of mangrove plants distributed in the tropical and subtropical areas of the world. Their structures were identified as taraxerone (1), taraxerol (2), beta-sitosterol (3), careaborin (4), cis-careaborin (5), beta-daucosterol (6), isovanillic acid (7), protocatechuic acid (8), astilbin (9) and rutin (10), among which compound 9 and 10 were reported in this plant for the first time. Of these compounds, Compound 2 has been confirmed to have the abilities to inhibit the growth of Hela and BGC-823 with IC50 of 73.4 micromol x L(-1) and 73.3 micromol x L(-1), respectively. Compound 5 could inhibit the growth of BGC-823 and MCF-7 with IC50 of 45.9 micromol x L(-1) and 116.0 micromol x L(-1), respectively. Compound 9 and 10 were firstly reported to stimulate the proliferation of mice splenic lymphocytes markedly in a dose-dependent manner.