Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
70,387
result(s) for
"WANG Qi"
Sort by:
Age–period–cohort analysis of pulmonary tuberculosis reported incidence, China, 2006–2020
Background
Tuberculosis (TB) poses a severe public health challenge in China and worldwide. This study evaluated the effects of age, period, and birth cohort on reported incidence trends of TB based on population and refined the characteristics of high-risk groups.
Methods
Aggregate data that reported pulmonary tuberculosis (PTB) cases from China Tuberculosis Management Information System (TBIMS) from 2006 to 2020 were used to analyze effect coefficients through the age–period–cohort (APC) model based on intrinsic estimator (IE) method, and converted them into relative risk (
RR
) to estimate trends.
Results
A total of 14.82 million cases of PTB were reported in China from 2006 to 2020, showing a continuous downward trend. The reporting rate increased with age by age group, with 70–74 years old being 2–3 times higher than that in 20–24 years old. APC analysis model showed that age effects were bimodal in 20–24 years old [
RR
= 2.29, 95% confidence interval (
CI
): 1.73–3.03] and 70–74 years old (
RR
= 1.95, 95%
CI:
1.67–2.27), and lower than the overall average in the groups under 15 years old. Stratified results showed that the risk was higher for women under age 40 than men and higher for men over 40. The risk was higher in urban than in rural areas under 30 years old and slightly higher in rural than in urban between 30 and 64 years old. The risk for 15–34 years old was significantly higher in the east than in other regions. The period effects showed a decreasing trend, and the risk was higher in rural in recent years. Except for cohorts born in 1961–1965 and 2001–2005, where the
RR
increased, the later the cohort was born, the lower the risk. The cohort 1926–1930 in eastern had the highest risk (
RR
= 3.49, 95%
CI:
2.44–4.98).
Conclusions
The reported incidence of PTB continued to decline in China from 2006 to 2020. The young (20–24 years old) and the elderly (70–74 years old) were equally at high risk. There were differences in the age, period and cohort effects on PTB incidence among gender, urban–rural and regions. Our findings better reflected the characteristics of high-risk populations, thus contributing to the development of timely and effective intervention strategies, and providing clues for etiological research.
Graphical abstract
Journal Article
Lactobacillus Intestinalis Primes Epithelial Cells to Suppress Colitis‐Related Th17 Response by Host‐Microbe Retinoic Acid Biosynthesis
Gut microbiome is integral to the pathogenesis of ulcerative colitis. A novel probiotic Lactobacillus intestinalis (L. intestinalis) exerts a protective effect against dextran sodium sulfate‐induced colitis in mice. Based on flow cytometry, colitis‐associated Th17 cells are the target of L. intestinalis, which is supported by the lack of protective effects of L. intestinalis in T cell‐null Rag1−/− mice or upon anti‐IL‐17‐A antibody‐treated mice. Although L. intestinalis exerts no direct effect on T cell differentiation, it decreases C/EBPA‐driven gut epithelial SAA1 and SAA2 production, which in turn impairs Th17 cell differentiation. Cometabolism of L. intestinalis ALDH and host ALDH1A2 contributed to elevated biosynthesis of retinoic acid (RA), which accounts for the anti‐colitis effect in RAR‐α ‐mediated way. In a cohort of ulcerative colitis patients, it is observed that fecal abundance of L. intestinalis is negatively associated with the C/EBPA‐SAA1/2‐Th17 axis. Finally, L. intestinalis has a synergistic effect with mesalazine in alleviating murine colitis. In conclusion, L. intestinalis and associated metabolites, RA, have potential therapeutic effects for suppressing colonic inflammation by modulating the crosstalk between intestinal epithelia and immunity. By improving retinoic acid synthesis, a novel probiotic L. intestinalis exerts a protective effect against colitis. Retinoic acid triggers epithelial gene alteration, including SAA1, SAA2, and C/EBPA, to downregulate RORγt+ Th17 cells. L. intestinalis and its associated metabolite, retinoic acid, have potential therapeutic effects for suppressing colonic inflammation.
Journal Article
Structural and molecular basis for phosphate recognition by SAR11 bacteria
This study provides crucial insights into phosphate acquisition in SAR11 bacteria, a key group of oligotrophic microorganisms that thrive in nutrient-limited marine ecosystems. By characterizing the unique structural features of Cp PstS, including its distinct hydrogen-bonding network and expanded substrate-binding cavity, this research sheds light on how SAR11 bacteria adapt to limited phosphorus availability. The discovery that Cp PstS may also accommodate organic phosphorus compounds broadens our understanding of microbial nutrient acquisition. These findings have significant implications for marine biogeochemical cycles and offer new perspectives on the evolution of nutrient transport mechanisms in marine microorganisms.
Journal Article
World-class universities : towards a global common good and seeking national and institutional contributions
In the era marked by globalization and its profound impacts on individuals, societies, states and markets, world-class universities need to position themselves in the forefront of seeking conceptual and practical solutions to daunting challenges by paying greater attention to their roles in serving local society and contributing to global common goods. Based on the findings of the Seventh International Conference on World-Class Universities, World-Class Universities: Towards a Global Common Good and Seeking National and Institutional Contributions provides updated insights and debates on how world-class universities will contribute to the global common good and balance their global, national and local roles in doing so.
Book
Prevalence and socio-demographic correlates of psychological health problems in Chinese adolescents during the outbreak of COVID-19
Psychological health problems, especially emotional disorders, are common among adolescents. The epidemiology of emotional disorders is greatly influenced by stressful events. This study sought to assess the prevalence rate and socio-demographic correlates of depressive and anxiety symptoms among Chinese adolescents affected by the outbreak of COVID-19. We conducted a cross-sectional study among Chinese students aged 12–18 years during the COVID-19 epidemic period. An online survey was used to conduct rapid assessment. A total of 8079 participants were involved in the study. An online survey was used to collect demographic data, assess students’ awareness of COVID-19, and assess depressive and anxiety symptoms with the Patient Health Questionnaire (PHQ-9) and the Generalized Anxiety Disorder (GAD-7) questionnaire, respectively. The prevalence of depressive symptoms, anxiety symptoms, and a combination of depressive and anxiety symptoms was 43.7%, 37.4%, and 31.3%, respectively, among Chinese high school students during the COVID-19 outbreak. Multivariable logistic regression analysis revealed that female gender was the higher risk factor for depressive and anxiety symptoms. In terms of grades, senior high school was a risk factor for depressive and anxiety symptoms; the higher the grade, the greater the prevalence of depressive and anxiety symptoms. Our findings show there is a high prevalence of psychological health problems among adolescents, which are negatively associated with the level of awareness of COVID-19. These findings suggest that the government needs to pay more attention to psychological health among adolescents while combating COVID-19.
Journal Article
Inverse design of glass structure with deep graph neural networks
Directly manipulating the atomic structure to achieve a specific property is a long pursuit in the field of materials. However, hindered by the disordered, non-prototypical glass structure and the complex interplay between structure and property, such inverse design is dauntingly hard for glasses. Here, combining two cutting-edge techniques, graph neural networks and swap Monte Carlo, we develop a data-driven, property-oriented inverse design route that managed to improve the plastic resistance of Cu-Zr metallic glasses in a controllable way. Swap Monte Carlo, as a sampler, effectively explores the glass landscape, and graph neural networks, with high regression accuracy in predicting the plastic resistance, serves as a decider to guide the search in configuration space. Via an unconventional strengthening mechanism, a geometrically ultra-stable yet energetically meta-stable state is unraveled, contrary to the common belief that the higher the energy, the lower the plastic resistance. This demonstrates a vast configuration space that can be easily overlooked by conventional atomistic simulations. The data-driven techniques, structural search methods and optimization algorithms consolidate to form a toolbox, paving a new way to the design of glassy materials.
The inverse design of the material for given target property is challenging for glasses due to their disordered non-prototypical structure. Wang and Zhang propose a data-driven property oriented inverse approach for design of glassy materials with desired functionalities.
Journal Article