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Featured researches published by Xiuhua Guo.


Arthritis & Rheumatism | 2015

Association of systemic lupus erythematosus with decreased immunosuppressive potential of the IgG glycome.

Frano Vučković; Jasminka Krištić; Ivan Gudelj; María Teruel; Toma Keser; Marija Pezer; Maja Pučić-Baković; Jerko Štambuk; Irena Trbojević-Akmačić; Clara Barrios; Tamara Pavić; Cristina Menni; Youxin Wang; Yong Zhou; Liufu Cui; Haicheng Song; Qiang Zeng; Xiuhua Guo; Bernardo A. Pons-Estel; Paul McKeigue; Alan Leslie Patrick; Olga Gornik; Tim D. Spector; Miroslav Harjacek; Marta E. Alarcón-Riquelme; Mariam Molokhia; Wei Wang; Gordan Lauc

Glycans attached to the Fc portion of IgG are important modulators of IgG effector functions. Interindividual differences in IgG glycome composition are large and they associate strongly with different inflammatory and autoimmune diseases. IKZF1, HLA–DQ2A/B, and BACH2 genetic loci that affect IgG glycome composition show pleiotropy with systemic lupus erythematosus (SLE), indicating a potentially causative role of aberrant IgG glycosylation in SLE. We undertook this large multicenter case–control study to determine whether SLE is associated with altered IgG glycosylation.


Acta Ophthalmologica | 2014

Prevalence of myopia in school children in greater Beijing: the Beijing Childhood Eye Study

Qi Sheng You; Li Juan Wu; Jia Li Duan; Yan Xia Luo; Li Juan Liu; Xia Li; Qi Gao; Wei Wang; Liang Xu; Jost B. Jonas; Xiuhua Guo

To determine the prevalence of myopia in school children in Greater Beijing.


PLOS ONE | 2015

Prevalence and associated factors of myopia in high-school students in Beijing.

Li Juan Wu; Qi Sheng You; Jia Li Duan; Yan Xia Luo; Li Juan Liu; Xia Li; Qi Gao; Hui Ping Zhu; Yan He; Liang Xu; Jost B. Jonas; Wei Wang; Xiuhua Guo

Purpose To evaluate prevalence and associated factors for myopia in high school students in Beijing. Methods Grade 10 and 11 high school students were randomly selected from nine randomly selected districts of Beijing. The students underwent non-cylcoplegic auto-refractometry and an interview. Results Out of 4798 eligible students, 4677 (93.4%) students (mean age:16.9±0.7years;range:16–18 years) participated. Mean refractive error of right eyes and left eyes was −2.78±2.29 diopters and −2.59±2.50 diopters, respectively. Prevalence of myopia (defined as ≤ −1.00 diopters in the worse eye) was 80.7% (95% Confidence Interval (CI): 79.6–81.8%). Out of 3773 students with myopia, 1525 (40.4%) wore glasses daily. In multiple logistic regression analysis, a higher prevalence of myopia was associated with female sex (odds ratio (OR) = 1.31;95%CI:1.11–1.55), Han ethnicity (OR = 1.64;95%CI:1.28–2.11), attending key schools (OR = 1.48;95%CI:1.24,1.77), higher family income (OR = 1.37;95%CI:1.09–1.71), longer time spent for near work (OR = 1.43;95%CI:1.06–1.93), shorter near work distance (OR = 1.87;95%CI:1.55–2.26), lower frequency of active rest during studying (OR = 1.40;95%CI:1.16–1.70), and parental myopia (OR = 2.28;95%CI:1.80–2.87). The interaction between distance from near work and time spent for near work was statistically (P = 0.03) significant. In multiple logistic regression analysis, higher prevalence of high myopia (≤-6.0 diopters) was associated with studying in key schools (OR = 1.38;95%CI:1.05,1.81), lower frequency of active rest during studying (OR = 1.40;95%CI:1.09,1.79), and a higher number of myopic parents (OR = 2.66;95%CI:2.08,3.40). Conclusions A prevalence of about 80% for myopia and a prevalence of about 10% for high myopia in students aged 16 to 18 years and attending classes of grade 10 and 11 in a Chinese metropolitan region is another example of the high prevalence of moderate and high myopia in metropolitan areas of China. With this young myopic generation getting older, myopia as cause for visual impairment and blindness may further increase in importance. Future studies may address whether active rests during studying with looking into the distance are preventive against myopia development or progression.


PLOS ONE | 2013

Measures of Adiposity and Risk of Stroke in China: A Result from the Kailuan Study

Anxin Wang; Jianwei Wu; Yong Zhou; Xiuhua Guo; Yanxia Luo; Shouling Wu; Xingquan Zhao

Objective The objective of this study was to explore the association between adiposity and risk of incident stroke among men and women. Methods We studied the relationship between adiposity and stroke among 94,744 participants (18–98 years old) in the Kailuan study. During a follow-up of 4 years, 1,547 ischemic or hemorrhagic strokes were recorded. Measurements of adiposity included body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHpR), and waist-to-height ratio (WHtR). Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated from Cox regression models and each model fit was assessed using −2log-likelihood. Results Every measurement of adiposity was associated with the risk for total stroke and ischemic stroke, but not for hemorrhagic stroke. After adjusting for confounders and intermediates, the HR (comparing the mean of the highest quintile with that of the lowest quintile) for total stroke was 1.34(1.13–1.60) for BMI, 1.26(1.06–1.52) for WC, 1.29(1.08–1.56) for WHpR, and 1.38(1.15–1.66) for WHtR. The HR for ischemic stroke was 1.52(1.24–1.88) for BMI, 1.46(1.17–1.81) for WC, 1.40(1.12–1.74) for WHpR, and 1.62(1.29–2.04) for WHtR. The model fit for each of the indices was similar. Conclusions Adiposity increases the total risk of stroke and ischemic stroke, but not of hemorrhagic stroke. No clinically meaningful differences among the associations between BMI, WC, WHpR, and WHtR and stroke incidence were identified in this study.


PLOS ONE | 2012

Factors Associated with Myopia in School Children in China: The Beijing Childhood Eye Study

Qi Sheng You; Li Juan Wu; Jia Li Duan; Yan Xia Luo; Li Juan Liu; Xia Li; Qi Gao; Wei Wang; Liang Xu; Jost B. Jonas; Xiuhua Guo

Purpose To assess factors associated with myopia in school children in rural and urban parts of Greater Beijing. Methods The Beijing Pedriatic Eye Study was a population-based cross-sectional study, in which one school of each level (primary, junior high, senior high) was randomly selected from nine randomly selected districts out of 18 districts of Greater Beijing. The children underwent non-cylcoplegic refractometry and their parents an interview. Results Of 16,771 eligible students, 15,066 (89.8%) children (7,769 (51.6%) girls) participated, with 8,860 (58.8%) participants living in the rural region. Mean age was 13.2±3.4 years (range:7–18 years). In multivariate analysis, prevalence of myopia (defined as ≤−1.00 diopters) was associated with higher age (Odds ratio(OR):1.37; 95% confidence interval(CI):1.35,1.39), female gender (OR:1.35;95%CI:1.25,1.47), key school type (OR:0.77;95%CI: 0.70,0.85), higher family income (OR:1.04;95%CI:1.01,1.07), parental myopia (OR:1.46;95%CI:1.40,1.53), dim reading illumination (OR:0.93;95%CI: 0.88,0.98), longer daily studying duration (OR:1.10;95%CI:1.06,1.15), shorter duration of watching television (or computer) (OR:0.93;95%CI:0.89,0.97), higher self-reported protein intake (OR:0.94;95%CI:0.90,0.99), feeling well about life and status (OR:0.93;95%CI:0.89,0.98), and feeling tired or dizzy (OR:0.94;95%CI:0.91,0.97). Prevalence of high myopia (defined as ≤−6.00 diopters) was associated with higher age (OR:1.43;95%CI:1.38, 1.48), key school type (OR:0.61;95%CI:0.49,0.74), family income (OR:1.07;95%CI:1.02,1.13), parental myopia (OR:1.65;95%CI:1.54,1.76), dim reading illumination (OR:0.86;95%CI:0.77,0.96), less rest during studying (OR:1.18;95%CI:1.10,1.27), feeling well about life and studying (OR:0.88;95%CI: 0.81,0.96) and feeling dizzy or tired (OR:0.93;95%CI:0.87,0.99). Prevalence of high myopia (defined as ≤−8.00 diopters) was significantly associated with higher age (OR:1.39;95%CI:1.31,1.48;), key school type (OR:0.61;95%CI:0.42,0.88) and parental myopia (OR:1.87;95%CI:1.66,2.12). Conclusions Myopia in school children in Greater Beijing was associated with higher age, female gender, school type, parental myopia, higher socioeconomic background, dim reading illumination, longer daily studying duration, less rest during study, shorter duration of watching television (or computer), higher self-reported protein intake, feeling well about life and status, and feeling tired and dizzy.


European Journal of Radiology | 2010

Multilevel binomial logistic prediction model for malignant pulmonary nodules based on texture features of CT image

Huan Wang; Xiuhua Guo; Zhong-Wei Jia; Hong-Kai Li; Zhigang Liang; Kuncheng Li; Qian He

PURPOSE To introduce multilevel binomial logistic prediction model-based computer-aided diagnostic (CAD) method of small solitary pulmonary nodules (SPNs) diagnosis by combining patient and image characteristics by textural features of CT image. MATERIALS AND METHODS Describe fourteen gray level co-occurrence matrix textural features obtained from 2171 benign and malignant small solitary pulmonary nodules, which belongs to 185 patients. Multilevel binomial logistic model is applied to gain these initial insights. RESULTS Five texture features, including Inertia, Entropy, Correlation, Difference-mean, Sum-Entropy, and age of patients own aggregating character on patient-level, which are statistically different (P<0.05) between benign and malignant small solitary pulmonary nodules. CONCLUSION Some gray level co-occurrence matrix textural features are efficiently descriptive features of CT image of small solitary pulmonary nodules, which can profit diagnosis of earlier period lung cancer if combined patient-level characteristics to some extent.


PLOS ONE | 2016

Fine Particulate Air Pollution and Hospital Emergency Room Visits for Respiratory Disease in Urban Areas in Beijing, China, in 2013.

Qin Xu; Xia Li; Shuo Wang; Chao Wang; Fangfang Huang; Qi Gao; Lijuan Wu; Lixin Tao; Jin Guo; Wei Wang; Xiuhua Guo

Background Heavy fine particulate matter (PM2.5) air pollution occurs frequently in China. However, epidemiological research on the association between short-term exposure to PM2.5 pollution and respiratory disease morbidity is still limited. This study aimed to explore the association between PM2.5 pollution and hospital emergency room visits (ERV) for total and cause-specific respiratory diseases in urban areas in Beijing. Methods Daily counts of respiratory ERV from Jan 1 to Dec 31, 2013, were obtained from ten general hospitals located in urban areas in Beijing. Concurrently, data on PM2.5 were collected from the Beijing Environmental Protection Bureau, including 17 ambient air quality monitoring stations. A generalized-additive model was used to explore the respiratory effects of PM2.5, after controlling for confounding variables. Subgroup analyses were also conducted by age and gender. Results A total of 92,464 respiratory emergency visits were recorded during the study period. The mean daily PM2.5 concentration was 102.1±73.6 μg/m3. Every 10 μg/m3 increase in PM2.5 concentration at lag0 was associated with an increase in ERV, as follows: 0.23% for total respiratory disease (95% confidence interval [CI]: 0.11%-0.34%), 0.19% for upper respiratory tract infection (URTI) (95%CI: 0.04%-0.35%), 0.34% for lower respiratory tract infection (LRTI) (95%CI: 0.14%-0.53%) and 1.46% for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) (95%CI: 0.13%-2.79%). The strongest association was identified between AECOPD and PM2.5 concentration at lag0-3 (3.15%, 95%CI: 1.39%-4.91%). The estimated effects were robust after adjusting for SO2, O3, CO and NO2. Females and people 60 years of age and older demonstrated a higher risk of respiratory disease after PM2.5 exposure. Conclusion PM2.5 was significantly associated with respiratory ERV, particularly for URTI, LRTI and AECOPD in Beijing. The susceptibility to PM2.5 pollution varied by gender and age.


Journal of Hypertension | 2014

Resting heart rate and risk of hypertension: results of the Kailuan cohort study.

Anxin Wang; Xiaoxue Liu; Xiuhua Guo; Yan Dong; Yuntao Wu; Zhe Huang; Aijun Xing; Yanxia Luo; Jost B. Jonas; Shouling Wu

Objective: Resting heart rate (RHR) is a predictive risk factor of the development of cardiovascular diseases, but its association with arterial hypertension has remained unclear. This study investigated the relationship between RHR and new-onset hypertension (NOH) in an Asian population. Methods: The Kailuan study is a prospective longitudinal cohort study on cardiovascular risk factors and cardiovascular or cerebrovascular events. Hazard ratios with 95% confidence intervals (CIs) were calculated using Cox regression modelling. Results: Out of 101 510 individuals originally included into the Kailuan study, 31 507 participants (mean age: 46.3 ± 11.5 years) were selected with no previous arterial hypertension or cardiac arrhythmias. After a mean follow-up period of 3.5 ± 0.9 years, 12 565 (39.88%) individuals developed arterial hypertension. Incidence of hypertension was 104.4, 109.7, 114.2 and 124.6 per 1000 person-years for each RHR quartile. In multivariate analysis with adjustment for blood pressure, blood lipids, diabetes mellitus and other parameters, hazard ratios for NOH increased significantly (P < 0.0001) with increasing RHR quartile. Increase in RHR by 10 beats/minute was associated with an 8% increase in NOH. Individuals in the highest RHR quartile as compared with participants in the lowest quartile demonstrated a 16% greater risk of developing NOH [hazard ratio 1.16; 95% confidence interval (CI) 1.11–1.23]. There were no significant interactions between RHR and prehypertension, diabetes mellitus, age and BMI in terms of NOH risk, respectively. Conclusion: Independently of other baseline parameters such as blood pressure, blood lipids and diabetes mellitus, elevated RHR significantly increases the risk of incident hypertension. Measuring RHR is helpful in predicting the risk of eventual arterial hypertension.


PLOS ONE | 2015

PM2.5 Spatiotemporal Variations and the Relationship with Meteorological Factors during 2013-2014 in Beijing, China

Fangfang Huang; Xia Li; Chao Wang; Qin Xu; Wei Wang; Yanxia Luo; Lixin Tao; Qi Gao; Jin Guo; Sipeng Chen; Kai Cao; Long Liu; Ni Gao; Xiangtong Liu; Kun Yang; Aoshuang Yan; Xiuhua Guo

Objective Limited information is available regarding spatiotemporal variations of particles with median aerodynamic diameter < 2.5 μm (PM2.5) at high resolutions, and their relationships with meteorological factors in Beijing, China. This study aimed to detect spatiotemporal change patterns of PM2.5 from August 2013 to July 2014 in Beijing, and to assess the relationship between PM2.5 and meteorological factors. Methods Daily and hourly PM2.5 data from the Beijing Environmental Protection Bureau (BJEPB) were analyzed separately. Ordinary kriging (OK) interpolation, time-series graphs, Spearman correlation coefficient and coefficient of divergence (COD) were used to describe the spatiotemporal variations of PM2.5. The Kruskal-Wallis H test, Bonferroni correction, and Mann-Whitney U test were used to assess differences in PM2.5 levels associated with spatial and temporal factors including season, region, daytime and day of week. Relationships between daily PM2.5 and meteorological variables were analyzed using the generalized additive mixed model (GAMM). Results Annual mean and median of PM2.5 concentrations were 88.07 μg/m3 and 71.00 μg/m3, respectively, from August 2013 to July 2014. PM2.5 concentration was significantly higher in winter (P < 0.0083) and in the southern part of the city (P < 0.0167). Day to day variation of PM2.5 showed a long-term trend of fluctuations, with 2–6 peaks each month. PM2.5 concentration was significantly higher in the night than day (P < 0.0167). Meteorological factors were associated with daily PM2.5 concentration using the GAMM model (R 2 = 0.59, AIC = 7373.84). Conclusion PM2.5 pollution in Beijing shows strong spatiotemporal variations. Meteorological factors influence the PM2.5 concentration with certain patterns. Generally, prior day wind speed, sunlight hours and precipitation are negatively correlated with PM2.5, whereas relative humidity and air pressure three days earlier are positively correlated with PM2.5.


PLOS ONE | 2014

Resting Heart Rate and Risk of Cardiovascular Diseases and All-Cause Death: The Kailuan Study

Anxin Wang; Shuohua Chen; Chunxue Wang; Yong Zhou; Yuntao Wu; Aijun Xing; Yanxia Luo; Zhe Huang; Xiaoxue Liu; Xiuhua Guo; Xingquan Zhao; Shouling Wu

Background Resting heart rate (RHR) predicts both cardiovascular and noncardiovascular death in different populations. However, the results of the association between RHR and cardiovascular diseases (CVDs) are inconsistent, especially for each subtype of CVDs. Objective The aim of this study was to prospectively explore the relationship between RHR and CVDs including myocardial infarction (MI), ischemic stroke, and hemorrhagic stroke and all-cause death in a general population. Methods The Kailuan study is a prospective longitudinal cohort study on cardiovascular risk factors and cardiovascular or cerebrovascular events. Hazard ratio (HR) with 95% confidence intervals (CI) were calculated using Cox regression modeling. Results We analyzed 92,562 participants (18–98 years old) in the Kailuan Study. CVDs were developed in 1,903 people during follow-ups. In multivariate analysis with adjustment for major traditional cardiovascular risk factors, HRs of the highest quintile group compared with the lowest quintile group of RHR for all-cause CVDs, MI, any stroke, ischemic stroke, hemorrhagic stroke, and all-cause death were 1.03 (95% CI, 0.98–1.07), 1.10 (95% CI, 1.01–1.20), 1.01 (95% CI, 0.97–1.06), 1.02 (95% CI, 0.96–1.07), 1.01 (95% CI, 0.92–1.11) and 1.18, (95% CI, 1.13–1.23), respectively. Conclusions The elevated RHR was independently associated with the increased risk for MI and all-cause death, but not for all-cause CVDs, any stroke, ischemic stroke, nor hemorrhagic stroke. This indicates that the elevated RHR might be a risk marker for MI and all-cause death in general populations.

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Wei Wang

Capital Medical University

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Yanxia Luo

Capital Medical University

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Xia Li

La Trobe University

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Lixin Tao

Capital Medical University

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Anxin Wang

Capital Medical University

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Jin Guo

Capital Medical University

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Lijuan Wu

Capital Medical University

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Qi Gao

Capital Medical University

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Xiangtong Liu

Capital Medical University

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Xingquan Zhao

Capital Medical University

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