The History of Controlling and Treating Infectious Diseases in Ancient China

Infectious diseases are the common enemies of mankind.In the course of historical development,they persistently threaten human health and safety.Even today,despite the developments in medical science,we cannot escape the fear and suffering caused by infectious diseases.Whether in ancient or modern times,the source of infection,route of transmission,and a susceptible population are the three key conditions for the prevalence and spread of infectious diseases.All factors closely related to these three conditions can affect the prevalence of infectious diseases.China is one of the cradles of world civilization.The ancient people accumulated a great deal of experience and lessons in the long struggle against infectious diseases.In the face of the current threat posed by widespread infectious disease,it is imperative to review and summarize ancient Chinese ideas and health policies on epidemic prevention and control to inspire contemporary efforts in the prevention and control of infectious disease.The combination of prevention-oriented epidemic prevention ideology and traditional medicine provides valuable insights,especially for impoverished and medically underserved regions.

Associations of diet with infectious diseases in UK Biobank

The current study used multivariable logistic regression analysis to investigate associations between the intake frequencies of 13 food groups(or four diet groups)and infectious diseases.The analysis included 487849 participants from the UK Biobank,with 75209 participants diagnosed with infectious diseases.Participants reporting the highest intake frequency of processed meat(odds ratio[OR]=1.0964,95%confidence interval[CI]:1.0622–1.1318)and red meat(OR=1.0895,95%CI:1.0563–1.1239)had a higher risk of infectious diseases,compared with those with the lowest intake frequency.Consuming fish 2.0–2.9 times(OR=0.8221,95%CI:0.7955–0.8496),cheese≥5.0 times(OR=0.8822,95%CI:0.8559–0.9092),fruit 3.0–3.9 servings(OR=0.8867,95%CI:0.8661–0.9078),and vegetables 2.0–2.9 servings(OR=0.9372,95%CI:0.9189–0.9559)per week were associated with a lower risk of infection.Low meat-eaters(OR=0.9404,95%CI:0.9243–0.9567),fish-eaters(OR=0.8391,95%CI:0.7887–0.8919),and vegetarians(OR=0.9154,95%CI:0.8561–0.9778)had a lower risk of infectious diseases,compared with regular meat-eaters.The mediation analysis revealed that glycosylated hemoglobin,white blood cell count,and body mass index served as the mediators in the associations between diet and infectious diseases.The current study indicates that the intake frequency of food groups is a risk factor for infectious diseases,and fish-eaters have a lower risk of infection.

Bioactivities,Mechanisms,Production,and Potential Application of Bile Acids in Preventing and Treating Infectious Diseases

Infectious diseases are a global public health problem,with emerging and re-emerging infectious diseases on the rise worldwide.Therefore,their prevention and treatment are still major challenges.Bile acids are common metabolites in both hosts and microorganisms that play a significant role in controlling the metabolism of lipids,glucose,and energy.Bile acids have historically been utilized as first-line,valuable therapeutic agents for related metabolic and hepatobiliary diseases.Notably,bile acids are the major active ingredients of cow bezoar and bear bile,which are commonly used traditional Chinese medicines(TCMs)with the therapeutic effects of clearing heat,detoxification,and relieving wind and spasm.In recent years,the promising performance of bile acids against infectious diseases has attracted attention from the scientific community.This paper reviews for the first time the biological activities,possible mechanisms,production routes,and potential applications of bile acids in the treatment and prevention of infectious diseases.Compared with previous reviews,we comprehensively summarize existing studies on the use of bile acids against infectious diseases caused by pathogenic microorganisms that are leading causes of global morbidity and mortality.In addition,to ensure a stable supply of bile acids at affordable prices,it is necessary to clarify the biosynthesis of bile acids in vivo,which will assist scientists in elucidating the accumulation of bile acids and discovering how to engineer various bile acids by means of chemosynthesis,biosynthesis,and chemoenzymatic synthesis.Finally,we explore the current challenges in the field and recommend a development strategy for bile-acid-based drugs and the sustainable production of bile acids.The presented studies suggest that bile acids are potential novel therapeutic agents for managing infectious diseases and can be artificially synthesized in a sustainable way.

Identification of Early Warning Signals of Infectious Diseases in Hospitals by Integrating Clinical Treatment and Disease Prevention

The global incidence of infectious diseases has increased in recent years,posing a significant threat to human health.Hospitals typically serve as frontline institutions for detecting infectious diseases.However,accurately identifying warning signals of infectious diseases in a timely manner,especially emerging infectious diseases,can be challenging.Consequently,there is a pressing need to integrate treatment and disease prevention data to conduct comprehensive analyses aimed at preventing and controlling infectious diseases within hospitals.This paper examines the role of medical data in the early identification of infectious diseases,explores early warning technologies for infectious disease recognition,and assesses monitoring and early warning mechanisms for infectious diseases.We propose that hospitals adopt novel multidimensional early warning technologies to mine and analyze medical data from various systems,in compliance with national strategies to integrate clinical treatment and disease prevention.Furthermore,hospitals should establish institution-specific,clinical-based early warning models for infectious diseases to actively monitor early signals and enhance preparedness for infectious disease prevention and control.

Climate change and the emergence and exacerbation of infectious diseases:A review

Experts expressed severe concerns over the possibility of increasing burden of infectious diseases as the planet’s climate began to change years ago.There have been increased rates of climate-related catastrophes and as global temperatures rise,emergence of certain viruses has become a serious concern.Vectors are susceptible to changing temperatures as they exhibit innate responses to thermal stress to increase survivability.Climate change impacts virus reservoirs,increasing transmission rates of vectors.Vector-borne diseases have already witnessed increasing numbers compared to before.Certain non-endemic areas are encountering their first-ever infectious disease cases due to increasing temperatures.Tick-borne diseases are undergoing transformations provoking a heightened prevalence.Food-borne illnesses are expected to increase owing to warmer temperatures.It is important to recognize that climate change has a multivariable impact on the transmission of viruses.With climate change comes the potential of increasing interspecies interactions promoting jumps.These factors must be considered,and an informed strategy must be formulated.Adaptation and mitigation strategies are required to curb these diseases from spreading.Despite significant evidence that climate change affects infectious diseases,gaps in research exist.We conducted this review to identify the potential role climate change plays in the emergence of new viruses.

美国《Emerging Infectious Diseases》2018年第10期有关人兽共患病论文摘译

P1795中国甲型流感病毒(H7N9)的分子进化、多样性和适应性//Jing Lu,Jayna Raghwani,Rhys Pryce,等2016-2017年,抗原性差异或高致病性甲型流感(H7N9)病毒的出现和流行的大幅上升,引起了人们对这些病毒可能引起人兽共患病的关注。

Epidemiological Characteristics of Notifiable Infectious Diseases among Foreign Cases in China,2004–2017

Objective We aimed to assess the features of notifiable infectious diseases found commonly in foreign nationals in China between 2004 and 2017 to improve public health policy and responses for infectious diseases.Methods We performed a descriptive study of notifiable infectious diseases among foreigners reported from 2004 to 2017 in China using data from the Chinese National Notifiable Infectious Disease Reporting System(NNIDRIS). Demographic, temporal-spatial distribution were described and analyzed.Results A total of 67,939 cases of 33 different infectious diseases were reported among foreigners.These diseases were seen in 31 provinces of China and originated from 146 countries of the world. The infectious diseases with the highest incidence number were human immunodeficiency virus(HIV) of18,713 cases, hepatitis B(6,461 cases), hand, foot, and mouth disease(6,327 cases). Yunnan province had the highest number of notifiable infectious diseases in foreigners. There were different trends of the major infectious diseases among foreign cases seen in China and varied among provinces.Conclusions This is the first description of the epidemiological characteristic of notifiable infectious diseases among foreigners in China from 2004 to 2017. These data can be used to better inform policymakers about national health priorities for future research and control strategies.

Epigenetic regulation by long noncoding RNAs in osteo-/adipogenic differentiation of mesenchymal stromal cells and degenerative bone diseases

Bone is a complex tissue that undergoes constant remodeling to maintain homeostasis,which requires coordinated multilineage differentiation and proper proliferation of mesenchymal stromal cells(MSCs).Mounting evidence indicates that a disturbance of bone homeostasis can trigger degenerative bone diseases,including osteoporosis and osteoarthritis.In addition to conventional genetic modifications,epigenetic modifications(i.e.,DNA methylation,histone modifications,and the expression of noncoding RNAs)are considered to be contributing factors that affect bone homeostasis.Long noncoding RNAs(lncRNAs)were previously regarded as‘transcriptional noise’with no biological functions.However,substantial evidence suggests that lncRNAs have roles in the epigenetic regulation of biological processes in MSCs and related diseases.In this review,we summarized the interactions between lncRNAs and epigenetic modifiers associated with osteo-/adipogenic differentiation of MSCs and the pathogenesis of degenerative bone diseases and highlighted promising lncRNA-based diagnostic and therapeutic targets for bone diseases.

Insight to Pyroptosis in Viral Infectious Diseases

Background: Pyroptosis is defined as programmed necrosis executed by gasdermin D or E (GSDMD or GSDME), which punches cellular membrane. Morphologically, pyroptosis is characterized by cell swelling and cell membrane rupture, leading to the release of cellular contents that triggers intense inflammatory response. More and more studies have found that pyroptosis may be involved in the pathogenesis of viral infection, which may be a determinant for inflammation observed in most viral diseases. Objective: This paper aims to summarize the roles of pyroptosis in the pathogenesis of viral infectious diseases and to provide potential drug targets for the treatment of viral diseases, which will contribute to medical research and public health. Measures: This paper mainly summarizes pyroptosis occurring in diseases caused by different viruses, including human immunodeficiency virus, hepatitis virus, enterovirus, influenza virus and dengue fever virus. Meanwhile, the reported mechanism underlying pyroptosis mediating pathogenesis of these viral diseases will also be described. Conclusion: Current studies have shown that pyroptosis is a double-edged sword in viral infectious diseases. On one hand, pyroptosis leads to pathogenic inflammation of many viral infectious diseases which aggravate tissue damage initiated by viral infection, and blocking proptosis usually relieves the inflammation, which exerts therapeutic effects on viral diseases. On the other hand, moderating pyroptosis can contribute to defense against pathogen infection by releasing immune epitopes and inducing antiviral immune response.

Surveillance for respiratory infectious diseases caused by 6 common viruses in a recruit training site in the Northern region of China

Background: Recruit training sites are places with a high incidence of respiratory infectious diseases. Effective surveillance for acute respiratory infectious diseases in a recruit training site is an important way to prevent disease outbreaks.Methods: Eight hundred recruits(722 males and 78 females) enlisted in autumn 2015 received a background survey within 24 h of settlement at the recruit training site, including their general personal information, vaccination history, mental status and clinical symptoms. Then, nasopharyngeal swabs of these recruits were collected to detect common respiratory pathogens [influenza virus type A, influenza virus type B, adenovirus(Adv), human respiratory syncytial virus, human bocavirus and human metapneumovirus] by PCR. In addition, fasting venous blood was collected in the morning for Adv Ig G antibody detection. During the three months of training, the recruits were monitored for symptoms of respiratory infection, and nasopharyngeal swabs were collected from those with an axillary temperature ≥38℃ and other respiratory symptoms within 4 h of symptom onset. Samples were further examined by PCR.Results: Among the 795 effective nasopharyngeal swab samples collected during survey, two cases of group C type 1 Adv were identified by PCR. During the 3 months of training, fever and respiratory symptoms occurred in 39 recruits(incidence rate of 4.9%) and 5 cases of Adv were detected(positive rate of 12.8%). Genotyping showed 3 cases of type 4 Adv and 2 of type 3 Adv. No type 7, 14 or 55 Adv was detected. The Adv-Ig G positive rate of recruits was 48.2%. Among the 5 Adv positive cases with fever and respiratory symptoms, 4 were Adv-Ig G positive.Conclusion: The pathogen carrier rate in recruits was low, and only group C Adv, which causes mild infection in humans, was detected. No respiratory outbreak was observed at the recruit training site, and sporadic cases were mainly caused by type 3 and type 4 Adv.

Expert consensus guidelines on clinical use of Xiyanping injection for acute infectious diseases

Xiyanping injection,a traditional Chinese medicine injection made of andrographolide sulfonate,consisting of well-defined ingredients with antiviral,antibacterial,anti-inflammatory and antipyretic efficacy,has been widely used for treating infectious diseases of respiratory and digestive systems.However,its wide applications may easily lead to unreasonable clinical medication.In order to guide the precise clinical application and rational use of Xiyanping injection,experts in related fields conducted systematically literature review,evaluated and deliberated the application of Xiyanping injection in treating acute infectious diseases using evidence-based medicine method,and jointly drafted the consensus to summarize types of acute infectious diseases in children and adults that can be treated with Xiyanping injection,and recommend the intervention time,usage and dosage,course of treatment and combined medication of the injection.Besides,the consensus elucidates the safety,precautions and contraindications of the injection,so as to provide guidance for clinical use.

‘Outbreak Gold Standard’Selection to Provide Optimized Threshold for Infectious Diseases Early-alert Based on China Infectious Disease Automated-alert and Response System

The China Infectious Disease Automated-alert and Response System（CIDARS） was successfully implemented and became operational nationwide in 2008. The CIDARS plays an important role in and has been integrated into the routine outbreak monitoring efforts of the Center for Disease Control（CDC） at all levels in China. In the CIDARS, thresholds are determined using the ？Mean＋2SD？ in the early stage which have limitations. This study compared the performance of optimized thresholds defined using the ？Mean ＋2SD？ method to the performance of 5 novel algorithms to select optimal ？Outbreak Gold Standard（OGS）？ and corresponding thresholds for outbreak detection. Data for infectious disease were organized by calendar week and year. The ？Mean＋2 SD？, C1, C2, moving average（MA）, seasonal model（SM）, and cumulative sum（CUSUM） algorithms were applied. Outbreak signals for the predicted value（Px） were calculated using a percentile-based moving window. When the outbreak signals generated by an algorithm were in line with a Px generated outbreak signal for each week, this Px was then defined as the optimized threshold for that algorithm. In this study, six infectious diseases were selected and classified into TYPE A（chickenpox and mumps）, TYPE B（influenza and rubella） and TYPE C [hand foot and mouth disease（HFMD） and scarlet fever]. Optimized thresholds for chickenpox（P_（55））, mumps（P_（50））, influenza（P_（40）, P_（55）, and P_（75））, rubella（P_（45） and P_（75））, HFMD（P_（65） and P_（70））, and scarlet fever（P_（75） and P_（80）） were identified. The C1, C2, CUSUM, SM, and MA algorithms were appropriate for TYPE A. All 6 algorithms were appropriate for TYPE B. C1 and CUSUM algorithms were appropriate for TYPE C. It is critical to incorporate more flexible algorithms as OGS into the CIDRAS and to identify the proper OGS and corresponding recommended optimized threshold by different infectious disease types.

Simulation of Spread of Infectious Diseases and Population Mobility in a Deterministic Epidemic Patch Model

Computer simulation models are widely applied in various areas of the health care sector, including the spread of infectious diseases. Patch models involve explicit movements of people between distinct locations. The aim of the present work has been designed and explored a patch model with population mobility between different patches and between each patch and an external population. The authors considered a SIR （susceptible-infected-recovered） scheme. The model was explored by computer simulations. The results show how endemic levels are reached in all patches of the system. Furthermore, the performed explorations suggest that the people mobility between patches, the immigration from outside the system and the infection rate in each patch, are factors that may influence the dynamics of epidemics and should be considered in health policy planning.

美国《Emerging Infectious Diseases》2017年第11期有关人兽共患病论文摘译

P1784 2015年美国纽约州纽约市由嗜肺军团菌流行株引起的军团菌病暴发//Pascal Lapierre,Elizabeth Nazarian,Yan Zhu,等2015年夏天,美国纽约州纽约市发生了美国有史以来规模最大、最致命的军团菌病疫情。共发生138例病例,其中16例死亡,均与南布朗克斯的一个冷却塔有关。对环境样本和临床分离株的分析表明,暴发前、暴发期和暴发后散发的军团菌病病例可溯源自1株进化缓慢的原始菌株。