In recent years, it is noted clinically that the low level of serum uric acid is closely related to the adverse outcomes of cardiovascular and cerebrovascular diseases. Recent studies have shown that low uric acid levels not only boost the incidence of arrhythmia and cardiovascular events, but also increase mortality. It also has adverse effects on the development and prognosis of cerebrovascular diseases, including intracerebral hemorrhage and stroke. This article reviews research advances in the adverse effects of low uric acid on cardiovascular diseases andcerebrovascular diseases.

In China, the level of ambient fine particulate matter (PM 2.5 ) pollution far exceeds the air quality standards recommended by the World Health Organization. Moreover, the health effects of PM 2.5 exposure have become a major public health issue. More than half of PM 2.5 -related excess deaths are caused by cardiopulmonary disease, which has become a major health risk associated with PM 2.5 pollution. In this review, we discussed the latest epidemiological advances relating to the health effects of PM 2.5 on cardiopulmonary diseases in China, including studies relating to the effects of PM 2.5 on mortality, morbidity, and risk factors for cardiovascular and respiratory diseases. These data provided important evidence to highlight the cardiopulmonary risk associated with PM 2.5 across the world. In the future, further studies need to be carried out to investigate the specific relationship between the constituents and sources of PM 2.5 and cardiopulmonary disease. These studies provided scientific evidence for precise reduction measurement of pollution sources and public health risks. It is also necessary to identify effective biomarkers and elucidate the biological mechanisms and pathways involved; this may help us to take steps to reduce PM 2.5 pollution and reduce the incidence of cardiopulmonary disease.
Humans ; Particulate Matter/analysis* ; Air Pollution/adverse effects* ; Risk Factors ; Respiratory Tract Diseases ; China/epidemiology* ; Environmental Exposure/adverse effects*

Objective To analyze the prevalence of chronic diseases and its influencing factors of dust-exposed male workers in a coal mine. Methods A total of 9 782 dust-exposed male workers from a coal mine in Shanxi Province were selected as the study subjects using the purposive sampling method. Their occupational health examination results were collected to analyze the prevalence of chronic diseases and its influencing factors. Results The prevalence of dyslipidemia, hyperuricemia, hypertension and diabetes were 40.3%, 30.7%, 23.5% and 5.6%, respectively. The prevalence of chronic diseases was 64.8%. Among them, the prevalence of having one, two, three or more chronic diseases were 36.5%, 21.6% and 6.7%, respectively. The prevalence of comorbid chronic diseases was 28.3%, with the highest prevalence of concurrent dyslipidemia and hyperuricemia of 11.0%. The results of binary logistic regression analysis showed that the risk of chronic disease was higher in workers <40 years old, smoking, overweight, obesity and total working years >20 years (all P<0.05). The results of multinomial logistic regression analysis showed that workers <40 years old, overweight, obesity and total working years >20 years were risk factors for having one chronic disease (all P<0.05). The workers <40 years old, smoking, overweight, obesity and total working years >20 years were risk factors for having two chronic diseases (all P<0.05). The workers <40 years old, smoking, alcohol consumption, overweight, obesity, other types of work, and working years >20 years were risk factors for having three or more chronic diseases (all P<0.05). Conclusion The prevalence of chronic diseases is high and the comorbidity of chronic diseases is common among dust-exposed male workers. The main influencing factors were age, smoking, alcohol consumption, overweight, obesity, type of work, and working year. Workers with more contributing factors have higher risk of chronic comorbidities.

OBJECTIVE To establish the methods to identify the chemical components of Ixeris chinensis， and determine the contents of 7 components （chlorogenic acid， luteolin， quercetin， rutin， protocatechuic acid， isochlorogenic acid A， luteoloside）. METHODS HPLC-Q-Exactive-MS was used to identify the chemical components of I. chinensis. The contents of 7 components in I. chinensis， including chlorogenic acid， were determined by HPLC-MS/MS. RESULTS A total of 45 components were identified in I. chinensis， including 20 organic acids， 13 flavonoids， 4 fatty acids， 4 amino acids， 3 nucleosides， and 1 coumarin. The linear range of chlorogenic acid， luteolin， quercetin， rutin， protocatechuic acid， isochlorogenic acid A and luteoloside were 503.00- 25 150.00， 42.00-2 100.00， 5.05-252.50， 20.05-1 002.50， 25.10-1 255.00， 750.00-37 500.00， 196.00-9 800.00 ng/mL （r≥0.999 2）， respectively. RSDs of precision， stability and reproducibility tests were all less than 3.00% （n＝6）， and average recovery ranged from 96.72% to 105.84% （all RSD＜4.00%， n＝6）. The contents of 7 components in 3 batches of I. chinensis were 1 145.77- 3 261.25， 23.75-97.90， 0.92-2.12， 1.06-23.18， 9.35-21.85， 833.25-1 045.58， 199.56-1 869.78 μg/g， respectively. CONCLUSIONS The established methods for identification and content determination are rapid and simple， and can be used for the identification of chemical components and the content determination of 7 components in I. chinensis.