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Recent years have seen a revolution in the domain of medical science, with ground-breaking discoveries changing health care as we once knew it [1]. These advances have considerably improved disease diagnosis, treatment, and management, improving patient outcomes and quality of life [2–5]. . . .

Introduction Immune-inflammatory response plays a key role in the pathogenesis of atherosclerosis. IgG N-glycosylation is reported to be associated with the 10-year atherosclerotic cardiovascular disease risk score and subclinical atherosclerosis. However, the relationship of IgG glycosylation with actual clinical cardiovascular disease (CVD) events and plaque phenotypes has rarely been investigated. Therefore, this study aims to understand whether IgG glycosylation traits are correlated with actual clinical CVD events and plaque phenotypes. Methods and analysis Designed to verify the efficacy of IgG glycosylation as a risk for CVD events and screen potential biomarkers of CVD to prevent atherosclerosis occurrence, this longitudinal prospective cohort study will be conducted at the First Affiliated Hospital of Shantou University Medical College, China. In total, 2720 participants routinely examined by carotid ultrasound will be divided into different groups according to plaque phenotype characteristics. Ultra-performance liquid chromatography will be performed to separate and detect IgG N-glycans in serum collected at baseline and at the end of the first, second and third years. The primary outcome is the actual clinical CVD composite events, including non-fatal myocardial infarction, death due to coronary heart disease, and fatal or non-fatal stroke. Ethics and dissemination The Clinical Ethics Committee of the First Affiliated Hospital of Shantou University Medical College approved this study (number: B-2021-127). Findings of this study will be submitted for publication in peer-reviewed journals. Trial registration number ChiCTR2100048740.

As modern medicine began to emerge at the turn of the 20th century, glycan-based therapies advanced. DNA- and protein-centered therapies became widely available. The research and development of structurally defined carbohydrates have led to new tools and methods that have sparked interest in the therapeutic applications of glycans. One of the latest omics disciplines to emerge in the contemporary post-genomics age is glycomics. In addition, to providing hope for patients and people with different health conditions through a deeper understanding of the mechanisms of common complex diseases, this new specialty in system sciences has much to offer to communities involved in the development of diagnostics and therapeutics in medicine and life sciences.This review focuses on recent developments that have pushed glycan-based therapies into the spotlight in medicine and the technologies powering these initiatives, which we can take as the most significant success of the 21st century.

Gehendra Mahara,1,* Zhihong Wu,2,* Qi Ge,1 Zhiwei Li,1 Jinxin Zhang1 1Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, People’s Republic of China; 2Research Center, Baiyunshan Hejigong Pharmaceutical Factory, Guangzhou Baiyunshan Pharmaceutical Holdings Co., Ltd, Guangzhou, 510080, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jinxin ZhangSchool of Public Health, Sun Yat-Sen University, Guangzhou, 510080, People’s Republic of ChinaTel +86-20-87332453Email zhjinx@mail.sysu.edu.cnBackground: The household expired drugs disposal has been a huge public issue in many countries, including China, which may affect various side and toxic effects on human health and environment, water resources, and soil too. This paper explores the knowledge, attitude, and practice of Guangzhou city residents regarding household expired drugs and their effect on human health and provided the scientific pieces of evidence to carry out the long-term recovery mechanism for expired medicines.Methods: An observational, cross-sectional study was conducted using a self-structured questionnaire. Descriptive analysis, including univariate and unconditional logistic regression models, was carried out to analyze the data.Results: A total of 613 community residents with a 99.4% response rate enrolled for the study. More than half 60.2% of residents stated that expired drugs pollute the environment, soil, and water resources, where 81.2% of respondents knew that it would produce side effects or toxic effects. However, still, 71.6% of respondents disposed of directly into the trash bin or sink, and, only 24.8% had good practice that they use a designed recycling bin. Likewise, only 8.3% of respondents placed expired drugs into collection points nearly 3– 5 times in a year, while 65.1% of participants never disposed of in the collection point, which found

Evidence shows that multiple factors, such as socio-economic status and access to health care facilities, affect tuberculosis (TB) incidence. However, there is limited literature available with respect to the correlation between socio-economic/health facility factors and tuberculosis incidence. This study aimed to explore the relationship between TB incidence and socio-economic/health service predictors in the study settings. A retrospective spatial regression analysis was carried out based on new sputum smear-positive pulmonary TB cases in Beijing districts. Global Moran’s I analysis was adopted to detect the spatial dependency followed by spatial regression models (spatial lag model, and spatial error model) along with the ordinary least square model were applied to examine the correlation between TB incidence and predictors. A high incidence of TB was seen in densely populated districts in Beijing, e.g., Haidian, Mentougou, and Xicheng. After comparing the R2, log-likelihood, and Akaike information criterion (AIC) values among three models, the spatial error model (R2 = 0.413; Log Likelihood = −591; AIC = 1199.76) identified the best model fit for the spatial regression model. The study showed that the number of beds in health institutes (p < 0.001) and per capita gross domestic product (GDP) (p = 0.025) had a positive effect on TB incidence, whereas population density (p < 0.001) and migrated population (p < 0.001) had an adverse impact on TB incidence in the study settings. High TB incidence districts were detected in urban and densely populated districts in Beijing. Our findings suggested that socio-economic predictors influence TB incidence. These findings may help to guide TB control programs and promote targeted intervention.

Background: Evidence regarding scarlet fever and its relationship with meteorological, including air pollution factors, is not very available. This study aimed to examine the relationship between ambient air pollutants and meteorological factors with scarlet fever occurrence in Beijing, China. Methods: A retrospective ecological study was carried out to distinguish the epidemic characteristics of scarlet fever incidence in Beijing districts from 2013 to 2014. Daily incidence and corresponding air pollutant and meteorological data were used to develop the model. Global Moran’s I statistic and Anselin’s local Moran’s I (LISA) were applied to detect the spatial autocorrelation (spatial dependency) and clusters of scarlet fever incidence. The spatial lag model (SLM) and spatial error model (SEM) including ordinary least squares (OLS) models were then applied to probe the association between scarlet fever incidence and meteorological including air pollution factors. Results: Among the 5491 cases, more than half (62%) were male, and more than one-third (37.8%) were female, with the annual average incidence rate 14.64 per 100,000 population. Spatial autocorrelation analysis exhibited the existence of spatial dependence; therefore, we applied spatial regression models. After comparing the values of R-square, log-likelihood and the Akaike information criterion (AIC) among the three models, the OLS model (R2 = 0.0741, log likelihood = −1819.69, AIC = 3665.38), SLM (R2 = 0.0786, log likelihood = −1819.04, AIC = 3665.08) and SEM (R2 = 0.0743, log likelihood = −1819.67, AIC = 3665.36), identified that the spatial lag model (SLM) was best for model fit for the regression model. There was a positive significant association between nitrogen oxide (p = 0.027), rainfall (p = 0.036) and sunshine hour (p = 0.048), while the relative humidity (p = 0.034) had an adverse association with scarlet fever incidence in SLM. Conclusions: Our findings indicated that meteorological, as well as ai

Malaysia is on its way to achieving developed nation status in the next 4 years. Currently, Malaysia is on track for three Millennium Development Goals (MDG1, MDG4, and MDG7). The maternal mortality rate, infant mortality rate, and mortality rate of children younger than 5 years improved from 25.6% (2012) to 6.6% (2013), and 7.7% (2012) per 100,000 live births, respectively whereas immunization coverage for infants increased to an average of 90%. As of 2013 the ratio of physicians to patients improved to 1:633 while the ratio of health facilities to the population was 1:10,272. The current government administration has proposed a reform in the form of the 10th Malaysian Plan coining the term "One Care for One Malaysia" as the newly improved and reorganized health care plan, where efficiency, effectiveness, and equity are the main focus. This review illustrates Malaysia's transition from pre-independence to the current state, and its health and socioeconomic achievement as a country. It aims to contribute knowledge through identifying the plans and reforms by the Malaysian government while highlighting the challenges faced as a nation.

Maternal health is still a public health problem in developing countries, especially in low-resource settings rural and poor communities. The main aim of this article is to critically evaluate and explore the situation of maternal health in Nepal based on published or unpublished governmental or nongovernmental organization's scientific reports regarding maternal health. We found that there were several direct or indirect causes and affecting factors of maternal death in Nepal, which are preventable. Women have been facing different consequences during pregnancy and delivery, attributed to lack of proper knowledge or less available and affordable health facilities in rural communities. Therefore, there is needed an essential maternal health knowledge to women and also establish health facilities with a quality health care service on affordable and accessible to prevent maternal death and minimize complications.

Objective: To probe the spatiotemporal patterns of the incidence of scarlet fever in Beijing, China, from 2005 to 2014. Methods: A spatiotemporal analysis was conducted at the district/county level in the Beijing region based on the reported cases of scarlet fever during the study period. Moran’s autocorrelation coefficient was used to examine the spatial autocorrelation of scarlet fever, whereas the Getis-Ord Gi* statistic was used to determine the hotspot incidence of scarlet fever. Likewise, the space-time scan statistic was used to detect the space-time clusters, including the relative risk of scarlet fever incidence across all settings. Results: A total of 26,860 scarlet fever cases were reported in Beijing during the study period (2005–2014). The average annual incidence of scarlet fever was 14.25 per 100,000 population (range, 6.76 to 32.03 per 100,000). The incidence among males was higher than that among females, and more than two-thirds of scarlet fever cases (83.8%) were among children 3–8 years old. The seasonal incidence peaks occurred from March to July. A higher relative risk area was mainly in the city and urban districts of Beijing. The most likely space-time clusters and secondary clusters were detected to be diversely distributed in every study year. Conclusions: The spatiotemporal patterns of scarlet fever were relatively unsteady in Beijing from 2005 to 2014. The at-risk population was mainly scattered in urban settings and dense districts with high population, indicating a positive relationship between population density and increased risk of scarlet fever exposure. Children under 15 years of age were the most susceptible to scarlet fever. © 2016 by the authors; licensee MDPI, Basel, Switzerland.

Maternal death is a public health problem in like Nepal. Still women have been facing the pregnancy related problems due to inaccessible and poor quality health service as well as a less available health service from skilled health workers. This is due to lack of essential knowledge about pregnancy and its complications. The main aim of this article is to evaluate and synthesize the current public health issues of maternal health of women in Nepal. Syntheses the problems, challenges and issues regarding maternal health and what can be done for the improvement of those problems with the evidence base practice. There should be making such a kind of policy, program, approaches and strategy from the state or the stockholder to tackle the health problem.

Background: Maternal Mortality is a public health problem in Nepal, which was highest in 1990 among the South Asian countries. Associated factors of maternal mortality are various; among them maternal health sevices such as antenatal (ANC) and postnatal care (PNC) services are the main. Methods: A multivariate secondary data analysis out based on Nepal Demographic Health Surveys 2001 and 2006. Logistic regression models was performed to compare the utilization of the ANC and PNC services, with background characteristics of women aged between 15 to 49 years old. Results: A total of 8913 reproductive aged groups (15-49) women were taken f or analysis and the mean age was 28.59±7.040 years. Logistic regression analysis revealed that health facility delivery (AO R=1.297, 95% CI=1.135-1.481), PNC check-up at health facility (AOD=4.442, 95% CI=2.815-7.011) and PNC service wit h a skilled health worker (AOD=4.533, 95% CI=2.753- 7.465) utilized more in 2006 compared to 2001. This study also found that highly educated women had (AOD, 95% CI=10.823- 22.968) more utilized the heath facility during pre gnancy and (AOD, 95% CI=2.194-16.950) more likely during a PNC check- up, whereas, educated women were less (AOR=0.043, 9 5% CI=0.007-0.254) likely consult with a skilled professional. Similarly, antenatal care (ANC) visits (4 or more than four) and ANC visit in the first trimester were increased (95% CI=1.137- 1.518) and (AOD=1.041, 95% CI=0.924-1.173) respectively. This study found that educated women, those who were living in urban areas, were more likely to use maternal health services compared to other regions. Conclusion: Increased in utilization of the ANC and PNC services through skilled health workers in a health facility among cohorts of educated women. However, the improvements were not equally distributed across the all regions in the country. This utilization of maternal health services is not sufficient to achieve the MDG goal. Because, health facility delivery is p

Wang, W., Yan, Y., Guo, Z., Hou, H., Garcia, M., Tan, X., . . . Golubnitschaja, O. (2021). All around suboptimal health — a joint position paper of the suboptimal health study consortium and European association for predictive, preventive and personalised medicine. EPMA Journal, 12(4), 403-433. https://doi.org/10.1007/s13167-021-00253-2

Mahara, G., Yang, K., Chen, S., Wang, W., & Guo, X. (2018). Socio-Economic Predictors and Distribution of Tuberculosis Incidence in Beijing, China: A Study Using a Combination of Spatial Statistics and GIS Technology. Medical Sciences, 6(2), 26. Available here