Currently few studies have explored the relationship between exposure to gaseous pollutants and metabolic health indicators in patients, especially in patients with metabolic syndrome (Mets). This study collected 15,520 patients with Mets in a prospective cohort of nearly 50,000 people with 7 years of follow-up from 2011 to 2017, and matched air pollutants and meteorological data during the same period. The mixed effects model was used to analyze the relationship between different short exposure windows (1-week, 1-month, 2-month, and 3-month) of gaseous pollutants (SO2, NO2, and O3) and the metabolic health indicators of patients after controlled the confounding factors. Stratified analysis was performed by demographic characteristics and behavioral factors. The effects of gaseous pollutants on patients with different Met components were also analyzed. The results showed that the short-term exposure to SO2, NO2, and O3 had a certain effect on the metabolic health indicators of patients with Mets in different exposure windows, and with the extension of the exposure window period, the effects increased. The stratified analysis showed that gender, age, and life behaviors might modify these detrimental effects. In addition, the effects of gaseous pollutants on metabolic health indicators in G4 and G7 were more obvious than other Met components, and the effects of gaseous pollutants on the level of LDL-C were found to be statistically significant in most components. Therefore, patients with Mets should pay more attention to the influence of gaseous pollutants to take appropriate protection to reduce potential health risk.

At present, heavy ion is an ideal radiation for cancer treatment, and carbon ion is used in the treatment of many kinds of cancer due to its higher relative biological effect value. In 2019, Wuwei heavy ion center built the first medical heavy ion accelerator-carbon ion radiotherapy system in China, and obtained the registration license from the National Medical Products Administration, and officially received cancer patients in March 2020. This study introduced the development and application of the first carbon ion radiotherapy system in China.

目的 总结甲状腺乳头状癌(PTC)的自噬、上皮-间质转化(EMT)和铁死亡机制及其三者之间可能的串扰调控机制,探讨PTC高侵袭性、高复发性和高转移性的调控机制,为PTC的诊断和治疗提供新思路.方法 以"甲状腺癌、自噬、上皮间质转化、铁死亡和串扰"为中文关键词,以"thyroid carcinoma、autophagy、epithelial-mesenchymal transition、fer-roptosis、crosstalk"为英文关键词,在PubMed、中国知网数据库和万方数据库检索2012年1月-2022年6月发表的相关文献.共检索到中文文献170条,英文文献836条.纳入标准:(1)自噬、上皮间质转化和铁死亡及其串扰在PTC侵袭、复发和转移中的作用及机制;(2)甲状腺癌流行病学研究.排除标准:(1)研究机制不明文献;(2)会议论文、个案报道.根据标准纳入分析54篇文献.结果 PTC进展中DNA突变引起基因表达改变,通过其他基因、miRNA和ln-cRNA直接或间接负向调控自噬,不但能够诱导EMT样变化,还可抑制铁死亡的发生,有助于癌细胞重新编程代谢途径和进行EMT,从而促进癌细胞的存活及其向其他器官转移.结论 PTC中自噬与EMT、铁死亡三者间的串扰调控可能是促进PTC侵袭、转移和复发的重要调控机制.

BackgroundCurrent evidence on whether occupational sulfur dioxide (SO2) exposure affects the risk of hypertension is still limited, and the research results of the effect of environmental SO2 exposure on risk of hypertension remain inconsistent.ObjectiveTo analyze the association between self-reported occupational exposure to SO2 and the risk of hypertension, and the potential dose-response relationship between the years of exposure to SO2 and the risk of hypertension.MethodsBased on the Jinchang cohort, a nested case-control study design was adopted. A total of 841 newly diagnosed hypertension patients were followed up as the case group, and the control group was selected with 1∶1 individual matching based on non-occupational factors and occupational factors, respectively. The former matching conditions included age ±2 years old, same gender, working age ±2 years, and home address in the same sub-district. The latter was limited to working in the same workshop on the basis of the former conditions. Finally, the former included 717 controls and the latter included 488 controls. A unified questionnaire was used to collect general demographic characteristics, lifestyle habits, history of diabetes, family history of hypertension, and information on occupational exposure to SO2 (self-reported history of occupational exposure to SO2 and years of exposure to SO2). Conditional logistic regression model was used to analyze the association between occupational exposure to SO2 and hypertension, and the dose-response relationship between the years of SO2 exposure and the risk of hypertension.ResultsIn the nested case-control study matching with the non-occupational factors, the OR of hypertension in workers with self-reported occupational exposure to SO2 was 2.39 (95%CI: 1.68-3.39); while when matching with the occupational factors, the OR of hypertension in workers with self-reported occupational exposure to SO2 was 1.48 (95%CI: 1.04-2.12). The results of the dose-response relationship showed that as the SO2 exposure years increased from 1-9 years, 10-19 years, 20-29 years, and 30 years and above, in the nested case-control study matching with non-occupational factors, the ORs of hypertension were 1.85 (95%CI: 0.68-5.08), 1.46 (95%CI: 0.58-3.67), 1.64 (95%CI: 1.00-2.67), and 4.95 (95%CI: 2.63-9.31), respectively; in the nested case-control study matching with occupational factors, the ORs of hypertension were 0.98 (95%CI: 0.40-2.41), 1.84 (95%CI: 0.72-4.70), 1.37 (95%CI: 0.82-2.29), and 2.44 (95%CI: 1.37-4.35), respectively. The two dose-response relationships were positive by χ2 trend test (Ptrend<0.05).ConclusionSelf-reported occupational exposure to SO2 is associated with the risk of hypertension in the study population, and the hypertension risk increases with the increase of SO2 exposure years.

为探索西北地区颗粒物(PM)短期暴露对人群血压(BP)水平的影响,基于金昌队列研究平台,收集甘肃省金昌市2011～2017年颗粒物污染数据及队列人群血压测量数据,在调整相关混杂因素基础上,采用线性混合效应模型分析PM2.5和PM10短期暴露对收缩压(SBP)、舒张压(DBP)、平均动脉压(MAP)、脉压(PP)和Mid-BP(SBP和DBP的均值)的影响.结果显示,随着PM2.5浓度的增加,人群SBP,MAP,PP和Mid-BP均呈上升趋势,该效应值分别在累积滞后05,03,07和05d最大.随着PM10浓度的增加,5种BP指标也均呈上升趋势,效应最大值均出现在累积滞后07d.PM2.5和PM10对BP产生的影响分别在吸烟和男性人群中更为显著.此外,沙尘天气和气态污染物(SO2和NO2)对PM-BP效应存在一定的修饰作用.因此,在该队列人群中,PM2.5和PM10短期暴露对人群血压具有一定影响,吸烟者和男性人群可能是颗粒物影响血压效应的易感人群.

目的 探讨气象环境因素对呼吸及循环系统疾病死亡人数的影响及适宜的预测模型.方法 基于宁波市2014-2018年呼吸及循环系统疾病死亡人数与气象环境数据,通过简单相关分析形成当天气象因子数据集及滞后因子数据集,并在建模前分为训练集和验证集.运用主成分回归(PCR)、广义相加模型(GAM)及随机森林模型(RF)分别针对以上两个数据集建立预测模型.结果 呼吸系统疾病中,回代检验PCR当天、RF当天的预测准确率达90％以上,预测检验GAM当天预测准确率最高,为73.30％.循环系统疾病中,回代检验预测准确率均超过75.00％,预测检验PCR滞后预测准确率最高,为84.04％.结论 GAM当天和PCR滞后分别对呼吸和循环系统疾病死亡人数的预测准确率最高,其中平均温度、NO2质量浓度及SO2质量浓度是呼吸及循环系统疾病死亡风险的重要影响因素.

Blood pressure has been shown to change by outdoor temperature, but whether intra- and inter-day temperature variability (TV) will bring higher effect on BP is not clear. Based on a prospective cohort study, the mixed effect model was selected to estimate the relationship between TV (daily temperature variability (DTV) and hourly temperature variability (HTV)) and BP (systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and mean arterial pressure (MAP)) after adjusting for confounding variables. We found that there was a positive linear correlation between TV and BP. The results of DTV and HTV were basically consistent, but the effect estimates of HTV seemed to be larger. Gender, age, BMI, education level and BP status may modify the relationship between TV and BP. The effect of TV on BP was greater in non-heating season than in heating season. Our work contributes to a further macro mechanism evidence for the TV-CVDs association.

目的 探讨金昌市热浪对高血压疾病住院人数的影响及潜在混杂因素.方法 收集2011-2016年金昌市3所综合医院每日高血压住院信息及同期气象资料和大气污染物资料.描述分析纳入研究的气象因素与高血压住院人数,分别采用单向回顾性1∶6病例交叉研究、双向对称1∶6病例交叉研究和按时间分层的病例交叉研究方法,在控制星期几效应、相关气象因素和环境污染物等混杂因素后,建立热浪与高血压住院人数的COX回归模型.根据效应值选择滞后效应最大的滞后天数,进行年龄、性别的分层分析,根据热浪持续类型分析热浪对高血压住院人数的影响.结果 研究期间共纳入5次热浪事件.热浪期间,高血压住院人数随温度变化而变化.3种病例交叉研究方法结果显示,热浪对高血压住院人数的变化具有影响,且存在一定的滞后效应.其中,单向回顾性1∶6病例交叉研究结果中效应值最大,热浪在单滞后2d和累积滞后3d对高血压住院人数影响的OR分别为2.707、4.796.分层分析发现,热浪对男性、女性高血压住院人数均具有影响,且对男性的影响更大(OR=5.900).65岁以下年龄组人群对热浪较为敏感(OR=6.266).热浪持续时间越长,高血压住院人数增加风险越大.结论 热浪对金昌市居民高血压疾病住院人数的增加具有影响.

Diurnal temperature range (DTR) is a meteorological indicator closely associated with global climate change. Thus, we aim to explore the effects of DTR on the outpatient and emergency room (O&ER) admissions for cardiovascular diseases (CVDs), and related predictive research. The O&ER admissions data for CVDs from three general hospitals in Jinchang of Gansu Province were collected from 2013 to 2016. A generalized additive model (GAM) with Poisson regression was employed to analyze the effect of DTR on the O&ER admissions for all cardiovascular diseases, hypertension, ischemic heart disease (IHD) and stoke. GAM was also used to preform predictive research of the effect of DTR on the O&ER admissions for CVDs. There were similar positive linear relationships between DTR and the O&ER visits with the four cardiovascular diseases. And the cumulative lag effects were higher than the single lag effects. A 1 °C increase in DTR corresponded to a 1.30% (0.99–1.62%) increase in O&ER admissions for all cardiovascular diseases. Males and elderly were more sensitivity to DTR. The estimates in non-heating season were higher than in heating season. The trial prediction accuracy rate of CVDs based on DTR was between 59.32 and 74.40%. DTR has significantly positive association with O&ER admissions for CVDs, which can be used as a prediction index of the admissions of O&ER with CVDs.

Background As an emerging infectious disease, COVID-19 has garnered great research interest. We aimed to explore the differences between English language and Chinese language Medical/Scientific journals publications, particularly aiming to explore the efficacy/contents of the literature published in English and Chinese in relation to the outcomes of management and characterization of COVID-19 during the early stage of COVID-19 pandemic. Methods Publications on COVID-19 research were retrieved from both English and Chinese databases. Bibliometric analyses were performed using VOSviewer 1.6.14, and CiteSpace V software. Network maps were generated to evaluate the collaborations between different authors, countries/provinces, and institutions. Results A total of 143 English and 721 Chinese original research articles and reviews on COVID 19 were included in our study. Most of the authors and institutions of the papers were from China before March 1st, 2020, however, the distribution of authors and institutions were mainly in developed countries or more wealthy areas of China. The range of the keywords in English publications was more extensive than those in Chinese. Traditional Chinese Medicine was seen more frequently in Chinese papers than in English. Of the 143 articles published in English, 54 articles were published by Chinese authors only and 21 articles were published jointly by Chinese and other overseas authors. Conclusions The publications in English have enabled medical practitioners and scientists to share/exchange information, while on the other hand, the publications in the Chinese language have provided complementary educational approaches for the local medical practitioners to understand the essential and key information to manage COVID-19 in the relatively remote regions of China, for the general population with a general level of education.