Cuicui Wang

Dr. Cuicui Wang

Exposure Epidemiology and Risk Program, Harvard T.H. Chan School of Public Health, Boston MA 02215, USA

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 June 2015 in JACC
Verified
Journal Article
Closed access
RCRenjie Chen
Renjie Chen
AZAng Zhao
Ang Zhao
HCHonglei Chen
Honglei Chen
ZZZhuohui Zhao
Zhuohui Zhao
JCJing Cai
Jing Cai
Haidong KanHaidong Kan
Haidong Kan

16 January 2018 in Environmental Health Perspectives
Verified
Journal Article
Open access
RCRenjie Chen
Renjie Chen
HLHuichu Li
Huichu Li
JCJing Cai
Jing Cai
CWCuicui Wang
Cuicui Wang
ZLZhijing Lin
Zhijing Lin
Haidong KanHaidong Kan
Haidong Kan
Background: MicroRNAs (miRNAs) are a key factor in epigenetic regulation of gene expression, but miRNA responses to fine particulate matter (PM2.5) air pollution and their potential contribution to cardiovascular effects of PM2.5 are unknown. Objective: We explored the potential influence of PM2.5 on the expression of selected cytokines relevant to systemic inflammation, coagulation, and vasoconstriction, and on miRNAs that may regulate their expression. Methods: We designed a double-blind, randomized crossover study in which true and sham air purifiers were used to expose 55 healthy young adult students in Shanghai, China, to reduced or ambient levels of indoor PM2.5 during two-week periods, and we measured the expression (mRNA and protein) of 10 serum cytokines, and miRNAs that target them, after each intervention period. We used linear mixed-effect models to estimate associations of the intervention, and time-weighted personal PM2.5 exposures, with the cytokines, mRNA, and miRNAs; we also explored pote...

17 September 2013 in Neurology
Verified
Journal Article
Closed access
PDF file
RCRenjie Chen
Renjie Chen
CWCuicui Wang
Cuicui Wang
XMXia Meng
Xia Meng
HCHonglei Chen
Honglei Chen
TTThuan Quoc Thach
Thuan Quoc Thach
Haidong KanHaidong Kan
Haidong Kan
Objective: To examine temperature in relation to stroke mortality in a multicity time series study in China. Methods: We obtained data on daily temperature and mortality from 8 large cities in China. We used quasi-Poisson generalized additive models and distributed lag nonlinear models to estimate the accumulative effects of temperature on stroke mortality across multiple days, adjusting for long-term and seasonal trends, day of the week, air pollution, and relative humidity. We applied the Bayesian hierarchical model to pool city-specific effect estimates. Results: Both cold and hot temperatures were associated with increased risk of stroke mortality. The potential effect of cold temperature might last more than 2 weeks. The pooled relative risks of extreme cold (first percentile of temperature) and cold (10th percentile of temperature) temperatures over lags 0–14 days were 1.39 (95% posterior intervals [PI] 1.18–1.64) and 1.11 (95% PI 1.06–1.17), compared with the 25th percentile of temperature. In contrast, the effect of hot temperature was more immediate. The relative risks of stroke mortality over lags 0–3 days were 1.06 (95% PI 1.02–1.10) for extreme hot temperature (99th percentile of temperature) and 1.14 (95% PI 1.05–1.24) for hot temperature (90th percentile of temperature), compared with the 75th percentile of temperature. Conclusions: This study showed that both cold and hot temperatures were associated with increased risk of stroke mortality in China. Our findings may have important implications for stroke prevention in China.

15 September 2015 in Environmental Science & Technology
Verified
Journal Article
Closed access
RCRenjie Chen
Renjie Chen
LQLiping Qiao
Liping Qiao
HLHuichu Li
Huichu Li
YZYan Zhao
Yan Zhao
YZYunhui Zhang
Yunhui Zhang
HKHaidong Kan
Haidong Kan

1 September 2016 in Environment International
Verified
Journal Article
Closed access
RCRenjie Chen
Renjie Chen
XMXia Meng
Xia Meng
AZAng Zhao
Ang Zhao
CWCuicui Wang
Cuicui Wang
CYChangyuan Yang
Changyuan Yang
Haidong KanHaidong Kan
Haidong Kan

1 May 2015 in Epidemiology
Verified
Journal Article
Closed access
RCRenjie Chen
Renjie Chen
ZZZhuohui Zhao
Zhuohui Zhao
QSQinghua Sun
Qinghua Sun
ZLZhijing Lin
Zhijing Lin
AZAng Zhao
Ang Zhao
HKHaidong Kan
Haidong Kan
Short-term associations between size-fractionated particulate air pollution and circulating biomarkers are not well established, especially in developing countries with high levels of particulate matter (PM). We designed a panel study involving 34 healthy young adults to evaluate acute effects of size-fractionated PM on 13 circulating biomarkers of inflammation, coagulation, and vasoconstriction. We measured real-time, size-fractionated number concentrations of PM (aerodynamic diameters from 0.25 to 10 μm, mass concentrations of PM < 10 μm) over four follow-up measurements. The short-term associations between size-fractionated PM and biomarkers were assessed using linear mixed effect models. We found positive associations between short-term exposure to PM and 10 biomarkers. PM with smaller size had stronger associations. The size fractions with the strongest associations were 0.25-0.40 μm for number concentrations and <1 μm for mass concentrations. For example, an interquartile range increase in 24-hour-average number concentrations of PM0.25-0.40 was associated with a 7%-32% increase in biomarkers of inflammation, 34%-68% of blood coagulation, and 45% of vasoconstriction. Similar estimates were found for mass concentrations of PM1. Furthermore, our results demonstrated an apparent acute effect on circulating biomarkers, even 2 hours after exposure. The effects were strongest within the first 12-24 hours, and effects on inflammation occurred more quickly than on coagulation and vasoconstriction. Our results provided potentially vital insights into the size and temporal characteristics of PM that could modify subclinical cardiovascular effects. These findings may have implications on disease prevention and environmental regulation in China.