Microglial surveillance plays an essential role in clearing misfolded proteins such as amyloid-beta, tau, and α-synuclein aggregates in neurodegenerative diseases. However, due to the complex structure and ambiguous pathogenic species of the misfolded proteins, a universal approach to remove the misfolded proteins remains unavailable. Here, we found that a polyphenol, α-mangostin, reprogrammed metabolism in the disease-associated microglia through shifting glycolysis to oxidative phosphorylation, which holistically rejuvenated microglial surveillance capacity to enhance microglial phagocytosis and autophagy-mediated degradation of multiple misfolded proteins. Nanoformulation of α-mangostin efficiently delivered α-mangostin to microglia, relieved the reactive status and rejuvenated the misfolded-proteins clearance capacity of microglia, which thus impressively relieved the neuropathological changes in both Alzheimer's disease and Parkinson's disease model mice. These findings provide direct evidences for the concept of rejuvenating microglial surveillance of multiple misfolded proteins through metabolic reprogramming, and demonstrate nanoformulated α-mangostin as a potential and universal therapy against neurodegenerative diseases.

As an important branch of artificial intelligence, machine learning is widely used in various fields. Machine learning has similarity to classical statistical methods, but can solve many problems which are difficult for traditional statistics, so it is one of the important tools in epidemiological research. This paper introduced 9 common algorithms of machine learning and summarized their characteristics and applications in epidemiological research. Readers could choose appropriate machine learning method according to the research purpose for the better application of machine learning in epidemiological research.

With the accelerating globalization and the implementation of "Belt and Road" initiative proposed by our government, communication and exchanges between China and foreign countries have become more and more frequent than before, and much more international students have chosen to study in China's universities as candidates of master of public health (MPH). However, because China only launched the MPH program in recent years, with the training models being highly similar to the program of master of science in China but quite different from those of main international MPH programs, hindering China's MPH program to become an international one. This paper systematically evaluated existing training models of MPH programs both at home and abroad through literature review and identified major differences and deficiencies of China's MPH program compared to those from other countries: (1) requirement for medical background only; (2) comparatively longer period to complete the program; (3) incomplete curriculum; (4) overemphasizing scientific research competencies but somewhat neglecting practical abilities; and (5) limited career choices, and put forward some suggestions to improve the MPH program of China, including removing requirement for medical background only, shortening the period of MPH program, improving the curriculum of MPH program, and enhancing the training of practical abilities.

In prospective cohort study, multi follow up is often necessary for study subjects, and the observed values are correlated with each other, usually resulting in time-dependent confounding. In this case, the data generally do not meet the application conditions of traditional multivariate regression analysis. Sequential conditional mean model (SCMM) is a new approach that can deal with time-dependent confounding. This paper mainly summarizes the basic theory, steps and characteristics of SCMM.

The diagnosis of COVID-19 is based on the positive of etiological test. The current etiological test of COVID-19 cost long time, and have high false negative rate, may resulting delay the measures of disease treatment and prevention. We suggested that COVID-19 should be diagnosed as 3 types: suspected case, clinical diagnosed case, and definite diagnosed case.

At present, traditional methods on statistics have limitations in controlling time- varying confounding. This paper introduces an analysis method, parametric g-formula, which would adjust time-varying confounding, and also exemplifies the steps of its implementation for purpose to provide a new reference for researchers to deal with long-term observational data.

Mediation analysis is mainly used to explore the causal mechanism between independent variable X and dependent variable Y. It determines whether mediator M plays a role and evaluate the role’s degree in the causal path by decomposing the causal path between the independent variable X and the dependent variable Y. However, the classical mediation analysis is generally used for single mediator. This paper introduces a new mediation analysis method for multiple mediators.

As a metabolic disorder during pregnancy,gestational diabetes mellitus (GDM) has an important effects on fetal development,neonatal health and maternal long-term health,and is one of the pregnancy complications with high incidence.It is of great significance that we have an accurate understanding of the etiology and risk factors of GDM for its prevention and control.GDM is a complex disease with multiple etiologies.Current studies have shown that the occurrence of GDM may be the result of combined effect of heredity and environment,but the exact etiology is still unclear.In this paper,we summarized the possible etiologies and risk factors of GDM,so as to understand the occurrence and development of GDM better and to provide possible references for prevention and further etiological studies of GDM.

Basal metabolic rate (BMR) is of great significance to the setting of daily energy requirements and the scientific diet guidance for the population. There are 3 kinds of measurement methods for BMR, including the direct calorimetry, the indirect calorimetry, and the equation estimation. The direct calorimetry method is difficult to implement and is only used in some special populations. The indirect calorimetry and the equation estimation are two methods that are currently used commonly. The indirect calorimetry is highly accurate and suitable for individual for basal metabolic measurement or datum collection via equation estimation. The equation estimation is simple and convenient, which is suitable for large samples.
Basal Metabolism ; physiology ; Biomedical Research ; Calorimetry, Indirect ; Energy Metabolism ; Humans

Objective To understand the current distribution and characteristics of advanced schistosomiasis patients who accepted medical assistance in Hunan Province in 2015,so as to provide the evidence for perfecting the policy and measures of the medical assistance to advanced schistosomiasis patients. Methods The patients who had been diagnosed as advanced schis-tosomiasis were verified and confirmed according to the standard of the medical assistance to advanced schistosomiasis patients in Hunan Province in 2015. The epidemiological survey was conducted to investigate the demographic characteristics,history of diagnosis and treatment,and medical assistance to these persons. Results There were 3850 advanced schistosomiasis patients who accepted the medical assistance in Hunan Province in 2015,and among them,2664 patients were male(69.19%),and 1186 were female(30.81%). Most of them(92.82%)came from the main schistosomiasis endemic areas,such as Yueyang, Changde and Yiyang. There were 2369 cases of ascites(61.53%),1466 cases of splenomegaly(38.08%),15 cases of colon proliferation and dwarf(0.39%). The mean age of advanced schistosomiasis patients who accepted the medical assistance was (62.94 ± 11.67)years old,with 64.31% of them being more than 60 years old. The age of initial diagnosis of advanced schistoso-miasis was(53.85 ± 21.32)years old,and it was concentrated in 40-60 years old(68.57%). The mean duration of advanced schistosomiasis was(9.58 ± 10.06)years,and it was mainly distributed in 10 years(75.95%). The mean duration from initial diagnosis of schistosomiasis to advanced schistosomiasis was(22.33 ± 14.20)years. The priority of the medical assistance to ad-vanced schistosomiasis patients was given to the county hospitals(76.57%);and the effective rate of assistance was 94.46%. To-tally 86.57% of the patients with advanced schistosomiasis got the medical insurance(rural cooperative medical care,urban medical care,etc.). Conclusions The burden of the medical assistance to advanced schistosomiasis patients is still heavy be-cause of many patients and low cure rate in Hunan Province. The ascites patients and high age patients should be the important objects of the medical assistance.