Construction and Application of Liver Injury Risk Prediction Model of Chinese Medicinals based on Indirect Toxicity / 中医杂志

ObjectiveTo explore and establish the liver injury risk prediction model of indirect toxicity of Chinese medicinals under the condition of compound formulas， and provide new ideas and methods for the study of evaluation of liver injury of Chinese medicinals based on indirect toxicity. MethodsTaking Buguzhi （Fructus Psoraleae） pre-parations as model drug， the combined Chinese medicinals with Buguzhi （Fructus Psoraleae） of high frequency are screened out， and their components and action targets were obtained through TCMSP， TCMIP and PharmMapper databases. The association strength value and risk value of Chinese medicinals that acted on the nuclear factor κB （NF-κB） pathway were analyzed. For those having greater values than the median association strength value and risk value were regarded as indirect Chinese medicinals of liver injury risk. In this way， a prediction model of liver injury risk of Chinese medicinals was constructed based on immune activation-related indirect liver injury process （taking NF-κB pathway as an example）. And verification of the prediction model was performed using Heshouwu （Radix Polygoni Multiflori） preparations. ResultsThe prediction model of liver injury risk based on important immunoactivated pathway （taking NF-κB pathway as an example） found that Yinyanghuo （Herba Epimedii） （association strength value = 0.18， risk value = 0.25） was a Chinese medicinal with potential risk of indirect liver injury within Buguzhi （Fructus Psoraleae） prepartions， which may increase the risk of liver injury by positively regulating Bruton's tyrosine kinase （Btk） and protein kinase C theta （PKCθ） on NF-κB pathway. Further verification of prediction model by Heshouwu （Radix Polygoni Multiflori） preparations showed that Buguzhi （Fructus Psoraleae） （association strength value = 0.25， risk value = 0.33） and Tusizi （Semen Cuscutae） （Semen Cuscutae， association strength value = 0.34， risk value = 0.33） may increase the liver injury risk of Heshouzu. ConclusionThe liver injury risk prediction model of indirect toxicity of Chinese medicinals has been constructed in this study， providing metho-dological reference for the identification of Chinese medicinals of indirect liver injury risk under the condition of compound formulas.

mRNA-based COVID-19 booster vaccination is highly effective and cost-effective in Australia

BackgroundAustralia implemented an mRNA-based booster vaccination strategy against the COVID-19 Omicron variant in November 2021. We aimed to evaluate the effectiveness and cost-effectiveness of the booster strategy over 180 days. MethodsWe developed a decision-analytic Markov model of COVID-19 to evaluate the cost-effectiveness of a booster strategy (administered 3 months after 2nd dose) in those aged [≥]16 years in Australia from a healthcare system perspective. The willingness-to-pay threshold was chosen as A$ 50,000. FindingsCompared with 2-doses of COVID-19 vaccines without a booster, Australias booster strategy would incur an additional cost of A$0.88 billion but save A$1.28 billion in direct medical cost and gain 670 quality-adjusted life years (QALYs) in 180 days of its implementation. This suggested the booster strategy is cost-saving, corresponding to a benefit-cost ratio of 1.45 and a net monetary benefit of A$0.43 billion. The strategy would prevent 1.32 million new infections, 65,170 hospitalisations, 6,927 ICU admissions and 1,348 deaths from COVID-19 in 180 days. Further, a universal booster strategy of having all individuals vaccinated with the booster shot immediately once their eligibility is met would have resulted in a gain of 1,599 QALYs, a net monetary benefit of A$1.46 billion and a benefit-cost ratio of 1.95 in 180 days. InterpretationThe COVID-19 booster strategy implemented in Australia is likely to be effective and cost-effective for the Omicron epidemic. Universal booster vaccination would have further improved its effectiveness and cost-effectiveness. FundingNational Natural Science Foundation of China. Bill and Melinda Gates Foundation

Identification and analysis of the risk of liver-related adverse drug reaction in pregnant women / 临床肝胆病杂志

Objective To investigate the potential medication risk by identifying and analyzing the features of liver-related adverse drug reaction (ADR) in pregnant women. Methods A retrospective study was performed for the reports on liver-related ADR in pregnant women from January 1, 2012 to December 31, 2016 in HILI Cloud (hilicloud.net). Main clinical features and medication rules were analyzed, and reporting odds ratio ( ROR ) was used to analyze the relative risk of related drugs. Results Methotrexate, mifepristone, and ritodrine were the high-frequency drugs reported for liver-related ADR in pregnant women and were mainly used for termination of ectopic pregnancy and treatment of hydatidiform mole. The relative risk analysis of liver-related ADR showed that in pregnant women, the use of methotrexate ( ROR =37.52, 95% confidence interval [ CI ]=31.35-44.89), progesterone ( ROR =7.33, 95% CI : 2.75-19.59), and dydrogesterone ( ROR =6.58, 95% CI : 2.20-19.69) was strongly associated with the risk of liver injury, and the association of methotrexate with the risk of liver injury in pregnant women was significantly stronger than that in non-pregnant women ( ROR =1.71, 95% CI : 1.47-4.36). Conclusion The potential risk of liver injury should be taken seriously in pregnant women using the drugs such as methotrexate and progesterone, so as to avoid serious adverse reactions.

Intelligent identification of the big data of liver injury-related adverse drug reactions based on text database / 临床肝胆病杂志

Objective To establish the intelligent identification method for the big data of liver injury-related adverse drug reaction (ADR) based on the construction of text database. Methods With the keywords including "drug-induced liver injury" and "abnormal liver function" and a search time of January 1, 2012 to December 31, 2016, 5% (4152 cases) of the case reports of liver injury-related ADR were retrieved and extracted from the China Adverse Drug Reaction Monitoring System, and then based on clinical reevaluation by physicians, these cases were classified into "negative cases", "suspected cases", and "confirmed cases". On this basis, key elements (including ADR name, biochemical parameter, and clinical symptoms) were identified. An intelligent identification method for liver injury-related ADR was established based on the correlation analysis between key elements and clinical reevaluation and the receiver operating characteristic (ROC) curve for determining cut-off values, and the method of cross validation was used to evaluate the performance of this intelligent identification method. Results The formula for the evaluation and identification of liver injury-related ADR was as follows: total score (M)=symptom score+index score+ADR name score. This formula showed the best discriminatory ability to distinguish "negative case" from "suspected case" or "confirmed case" at M=5 (area under the ROC curve [AUC]=0.97), with a sensitivity of 99.57% and a specificity of 84.61%, and it showed the best discriminatory ability to distinguish "confirmed case" from "suspected case" or "negative case" at M=12 (AUC=0.938), with a sensitivity of 87.93% and a specificity of 85.98%. Conclusion This method provides reference and basis for intelligent identification and evaluation of big data on liver injury-related ADR and is expected to effectively reduce the burden of manual processing of ADR big data and provide effective tools and methodological demonstration for early risk signal identification and warning of liver injury-related ADR.

Effects of daily mean temperature and other meteorological variables on bacillary dysentery in Beijing-Tianjin-Hebei region, China

BACKGROUND@#Although previous studies have shown that meteorological factors such as temperature are related to the incidence of bacillary dysentery (BD), researches about the non-linear and interaction effect among meteorological variables remain limited. The objective of this study was to analyze the effects of temperature and other meteorological variables on BD in Beijing-Tianjin-Hebei region, which is a high-risk area for BD distribution.@*METHODS@#Our study was based on the daily-scale data of BD cases and meteorological variables from 2014 to 2019, using generalized additive model (GAM) to explore the relationship between meteorological variables and BD cases and distributed lag non-linear model (DLNM) to analyze the lag and cumulative effects. The interaction effects and stratified analysis were developed by the GAM.@*RESULTS@#A total of 147,001 cases were reported from 2014 to 2019. The relationship between temperature and BD was approximately liner above 0 °C, but the turning point of total temperature effect was 10 °C. Results of DLNM indicated that the effect of high temperature was significant on lag 5d and lag 6d, and the lag effect showed that each 5 °C rise caused a 3% [Relative risk (RR) = 1.03, 95% Confidence interval (CI): 1.02-1.05] increase in BD cases. The cumulative BD cases delayed by 7 days increased by 31% for each 5 °C rise in temperature above 10 °C (RR = 1.31, 95% CI: 1.30-1.33). The interaction effects and stratified analysis manifested that the incidence of BD was highest in hot and humid climates.@*CONCLUSIONS@#This study suggests that temperature can significantly affect the incidence of BD, and its effect can be enhanced by humidity and precipitation, which means that the hot and humid environment positively increases the incidence of BD.

Asari Radix et Rhizoma consumption lacks relevance for hepatocellular carcinoma in patients: A retrospective cohort study / 中草药·英文版

Objective: Although some studies have linked Asari Radix et Rhizoma (Asari Radix) administration to hepatocellular carcinoma (HCC), few studies have examined the association between the development of HCC and use of Asari Radix among patients in mainland China. This study aimed to evaluate the real-world association between Asari Radix and HCC in patients to strengthen the understanding of Asari Radix safety. Methods: A retrospective cohort study among hepatitis B virus (HBV)-monoinfected patients and non-HBV-monoinfected patients were performed. Patients over 18 years of age were eligible for inclusion. Prescription records of inpatients and outpatients were inquired to distinguish Asari Radix users and nonusers. The risk of developing HCC among Asari Radix users and nonusers in the HBV cohort and the non-HBV cohort was analyzed. Results: There were 49 500 HBV and 133 148 non-HBV patients involved in the two cohorts. Among HBV patients (2 901 users; 46 599 nonusers), the prevalence of HCC in Asari Radix users was lower than that in nonusers (145.70 vs. 265.43 per 10

Seasonality of mortality under a changing climate: a time-series analysis of mortality in Japan between 1972 and 2015

BACKGROUND@#Ambient temperature may contribute to seasonality of mortality; in particular, a warming climate is likely to influence the seasonality of mortality. However, few studies have investigated seasonality of mortality under a warming climate.@*METHODS@#Daily mean temperature, daily counts for all-cause, circulatory, and respiratory mortality, and annual data on prefecture-specific characteristics were collected for 47 prefectures in Japan between 1972 and 2015. A quasi-Poisson regression model was used to assess the seasonal variation of mortality with a focus on its amplitude, which was quantified as the ratio of mortality estimates between the peak and trough days (peak-to-trough ratio (PTR)). We quantified the contribution of temperature to seasonality by comparing PTR before and after temperature adjustment. Associations between annual mean temperature and annual estimates of the temperature-unadjusted PTR were examined using multilevel multivariate meta-regression models controlling for prefecture-specific characteristics.@*RESULTS@#The temperature-unadjusted PTRs for all-cause, circulatory, and respiratory mortality were 1.28 (95% confidence interval (CI): 1.27-1.30), 1.53 (95% CI: 1.50-1.55), and 1.46 (95% CI: 1.44-1.48), respectively; adjusting for temperature reduced these PTRs to 1.08 (95% CI: 1.08-1.10), 1.10 (95% CI: 1.08-1.11), and 1.35 (95% CI: 1.32-1.39), respectively. During the period of rising temperature (1.3 °C on average), decreases in the temperature-unadjusted PTRs were observed for all mortality causes except circulatory mortality. For each 1 °C increase in annual mean temperature, the temperature-unadjusted PTR for all-cause, circulatory, and respiratory mortality decreased by 0.98% (95% CI: 0.54-1.42), 1.39% (95% CI: 0.82-1.97), and 0.13% (95% CI: - 1.24 to 1.48), respectively.@*CONCLUSION@#Seasonality of mortality is driven partly by temperature, and its amplitude may be decreasing under a warming climate.

Effects of New York's Executive Order on Face Mask Use on COVID-19 Infections and Mortality: A Modeling Study

BackgroundNew York City (NYC) was the epicenter of the COVID-19 pandemic in the United States. On April 17, 2020, the State of New York implemented an Executive Order that requires all people in New York to wear a face mask or covering in public settings where social distancing cannot be maintained. It is unclear how this Executive Order has affected the spread of COVID-19 in NYC. MethodsA dynamic compartmental model of COVID-19 transmission among NYC residents was developed to assess the effect of the Executive Order on face mask use on infections and deaths due to COVID-19 in NYC. Data on daily and cumulative COVID-19 infections and deaths were obtained from the NYC Department of Health and Mental Hygiene. ResultsThe Executive Order on face mask use is estimated to avert 99,517 (95% CIs: 72,723-126,312) COVID-19 infections and 7,978 (5,692-10,265) deaths in NYC. If the Executive Order was implemented one week earlier (on April 10), the averted infections and deaths would be 111,475 (81,593-141,356) and 9,017 (6,446-11,589), respectively. If the Executive Order was implemented two weeks earlier (on April 3 when the Centers for Disease Control and Prevention recommended face mask use), the averted infections and deaths would be 128,598 (94,373-162,824) and 10,515 (7,540-13,489), respectively. ConclusionsNew Yorks Executive Order on face mask use is projected to have significantly reduced the spread of COVID-19 in NYC. Implementing the Executive Order at an earlier date would avert even more COVID-19 infections and deaths.

Vulnerability and burden of all-cause mortality associated with particulate air pollution increased during COVID-19 pandemic: a nationwide observed study in Italy

BackgroundLimited evidence is available on the health effects of particulate matter (i.e. PM2.5, particulate matter with an aerodynamic diameter < 2.5m; PM10, < 10m; PM2.5-10, 2.5-10m) during the pandemic of COVID-19 in Italy. ObjectivesTo examine the associations between all-cause mortality and daily PM2.5, PM2.5-10, and PM10 in the pandemic period, and compare them to the normal periods (2015-2019) in Italy. MethodsWe collected daily data regarding all-cause (stratified by age and gender), and PM2.5, PM2.5-10, and PM10 for 107 Italian provinces from 1, January 2015 to 31, May 2020. A time-stratified case-cross design with the distributed lag non-linear model was used to examine the association between PM and all-cause mortality during the first three months of the COVID-19 outbreak (March to May in 2020) and the same months in 2015-2019. We also compared the counts and fractions of death attributable to PM in two periods. ResultsOverall, Italy saw an increase in daily death counts while slight decreases in PM concentrations in 2020 pandemic period compared to same months of 2015-2019. Mortality effects were significant in lag 0-3 days for PM2.5, lag 0-2 for PM10, and lag 0-1 for PM2.5-10. Each 10 {micro}g/m3 increase in PM was associated much higher increase in daily all-cause mortality during 2020 pandemic period compared to the same months during 2015-2019 [increased mortality rate: 7.24 % (95%CI: 4.84%, 9.70%) versus 1.69% (95%CI: 1.12%, 2.25%) for PM2.5; 3.45 % (95%C: 2.58%, 4.34%) versus 1.11% (95%CI: 0.79%, 1.42%) for PM10, 4.25% (95%CI: 2.99%, 5.52%) versus 1.76% (95%CI: 1.14%, 2.38%) for PM2.5-10]. The counts and fractions of deaths attributable to PM were higher in 2020 than the normal periods for PM2.5 (attributable death counts: 20,062 in 2020 versus 3,927 per year in 2015-2019; attributable fractions: 10.2% versus 2.4%), PM10 (15,112 versus 3,999; 7.7% versus 2.5%), and PM2.5-10 (7,193 versus 2303; 3.7% versus 1.4%). ConclusionsCOVID-19 pandemic increased the vulnerability and excess cases of all-cause mortality associated with short-term exposure to PM2.5, PM2.5-10 and PM10 in Italy, despite a decline in air pollution level. This suggests using historical PM-mortality association to calculate health benefits associated with reduction in PMs has big uncertainties.

Projected COVID-19 epidemic in the United States in the context of the effectiveness of a potential vaccine and implications for social distancing and face mask use

BackgroundMultiple candidates of COVID-19 vaccines have entered Phase III clinical trials in the United States (US). There is growing optimism that social distancing restrictions and face mask requirements could be eased with widespread vaccine adoption soon. MethodsWe developed a dynamic compartmental model of COVID-19 transmission for the four most severely affected states (New York, Texas, Florida, and California). We evaluated the vaccine effectiveness and coverage required to suppress the COVID-19 epidemic in scenarios when social contact was to return to pre-pandemic levels and face mask use was reduced. Daily and cumulative COVID-19 infection and death cases were obtained from the Johns Hopkins University Coronavirus resource center and used for model calibration. ResultsWithout a vaccine, the spread of COVID-19 could be suppressed in these states by maintaining strict social distancing measures and face mask use levels. But relaxing social distancing restrictions to the pre-pandemic level without changing the current face mask use would lead to a new COVID-19 outbreak, resulting in 0.8-4 million infections and 15,000-240,000 deaths across these four states over the next 12 months. In this scenario, introducing a vaccine would partially offset this negative impact even if the vaccine effectiveness and coverage are relatively low. However, if face mask use is reduced by 50%, a vaccine that is only 50% effective (weak vaccine) would require coverage of 55-94% to suppress the epidemic in these states. A vaccine that is 80% effective (moderate vaccine) would only require 32-57% coverage to suppress the epidemic. In contrast, if face mask usage stops completely, a weak vaccine would not suppress the epidemic, and further major outbreaks would occur. A moderate vaccine with coverage of 48-78% or a strong vaccine (100% effective) with coverage of 33-58% would be required to suppress the epidemic. Delaying vaccination rollout for 1-2 months would not substantially alter the epidemic trend if the current interventions are maintained. ConclusionsThe degree to which the US population can relax social distancing restrictions and face mask use will depend greatly on the effectiveness and coverage of a potential COVID-19 vaccine if future epidemics are to be prevented. Only a highly effective vaccine will enable the US population to return to life as it was before the pandemic.

COVID-19 pandemic increased the magnitude of mortality risks associated with cold temperature in Italy: A nationwide time-stratified case-crossover study

Abstract Backgrounds: The coronavirus disease 2019 (COVID-19) pandemic and some containment measures have changed many people lives and behaviours. Whether the pandemic could change the association between cold temperature and mortality remains unknown. Objectives: We aimed to assess whether the association between cold temperature and all-cause mortality in the pandemic period has changed compared to non-COVID-19 period (2015-2019) in Italy. Methods: We collected daily all-cause mortality data and meteorological data for 107 Italian provinces from 1, January 2015 to 31, May 2020. A time-stratified case-crossover design with the distributed lag non-linear model was used to examine the association between cold temperature and all-cause mortality during the first three months (from March to May in 2020) of the COVID-19 outbreak and the same months in 2015-2019. Results: The relative risk (RR) of all-cause mortality at extreme cold temperature (2.5th percentile of temperature at 3 {degrees}C) in comparison with the minimum mortality temperature (24 {degrees}C) was 4.75 [95% confidence interval (CI): 3.90-5.79] in the pandemic period, which is more than triple higher than RR [1.41 (95%CI: 1.33-1.50)] in the same months during 2015-2019. The shift in cold-mortality association was particularly significant for people aged 65-74 years [RR (95%CI): 5.98 (3.78-9.46) in 2020 versus 1.29 (1.10-1.51) in 2015-2019], 75-84 years [5.25 (3.79-7.26) versus 1.40 (1.25-1.56)], and [≥] 85 years [5.03 (3.90-6.51) versus 1.52 (1.39-1.66)], but not significant for those aged 0-64 years [1.95 (1.17-3.24) versus 1.24 (1.05-1.48)]. Conclusion: The findings suggest that the COVID-19 pandemic enhanced the risk of cold temperature on mortality in Italy, particularly among the elderly people. Further studies are warranted to understand the exact mechanism when detailed data are available.

Epidemiological and clinical characteristics of COVID-19 in adolescents and young adults

BackgroundAdolescents and young adults might play a key role in the worldwide spread of Coronavirus Disease 2019 (COVID-19), because they are more involved in overseas studying, business, working, and travelling. However, the epidemiological and clinical characteristics of them are still unknown. MethodsWe collected data of 46 confirmed COVID-19 patients aged 10 to 35 years from the study hospital. The demographics, epidemiological, and clinical data were collected. Several key epidemiological parameters, the asymptomatic cases and transmission to their family members and the clinical characteristics at admission, and during treatment were summarized. RESULTSOf 46 confirmed patients, 14 patients (47.3%) were aged from 10 to 24 years, and 24 (52.7%) patients were male. The mean incubation period for symptomatic cases was 6.6 days (95% confidence interval (CI) 4.4 - 9.6). The median serial interval was 1.9 days (95% CI 0.4 - 6.2). Three of asymptomatic cases showed the transmission to their family members. Only 1 patient was identified as severe cases at admission. The common symptoms at admission were dry cough (34, 91.0%), and fever (29, 69.0%). Nearly 60% of the patients had showed ground-glass opacity by chest CT findings. Three patients developed acute kidney injury during treatment. Majority of patients (78.3%) were discharged by the end of the follow-up. ConclusionsThe adolescent and young adult patients of COVID-19 had a long incubation period, and a short serial interval. The transmission to their family contactors occurred in asymptomatic cases. Few of the study patients have developed complications during treatment.

Lockdown may partially halt the spread of 2019 novel coronavirus in Hubei province, China

We present a timely evaluation of the impact of lockdown on the 2019-nCov epidemic in Hubei province, China. The implementation appears to be effective in reducing about 60% of new infections and deaths, and its effect also appears to be sustainable even after its removal. Delaying its implementation reduces its effectiveness. However, the direct economic cost of such a lockdown remains to be seen and whether the model is replicable in other Chinese regions remains a matter of further investigation.

The study on the association of long-term ambient fine particulate matters exposure and elevated blood pressure in children / 中华预防医学杂志

Objective@#To evaluate the association of long-term ambient fine particulate matters (PM2.5) exposure with elevated blood pressure in children.@*Methods@#From April 2012 to June 2013, we used cluster randomized sampling method to investigate 9 354 children aged 5-17 years old from 68 primary and middle schools in the seven Northeastern Cities (Shenyang, Dalian, Fushun, Anshan, Benxi, Liaoyang and Dandong) in Liaoning Province, and measured their blood pressure (BP). A spatial statistical model nested by aerosol optical depth (AOD) was used to inverse PM2.5 concentrations. Generalized additive model was used to quantify the association between PM2.5 exposure and blood pressure in children. To examine the associations, two-level regression model was used to evaluate individual characteristics′ modifying effect on the health influence of PM2.5.@*Results@#The prevalence of hypertension in children was 13.78% (1 289/9 354). The results showed that there was an associations between hypertension and pollutants, and the multivariable regression analysis indicated that the increase in mean systolic blood pressure (SBP), diastolic blood pressure (DBP), and the OR of hypertension associated with a 10 μg/m3 increase for PM2.5 were 3.12 (95%CI: 2.71-3.54) mmHg (1 mmHg=0.133 kPa), 1.45 (95%CI:1.12-1.78) mmHg, and 1.55 (95%CI: 1.10-2.19), respectively. Compared with non-breastfeeding children (OR=2.10, 95%CI: 1.39-3.17), children who were breastfeeding (OR=1.49, 95%CI: 1.00-2.20) exhibited consistently weaker effects, and the interaction effect of P value was 0.002.@*Conclusion@#Study findings indicate that long-term exposure to PM2.5 is associated with increased arterial BP and hypertension among the children. Breastfeeding may reduce this association.

The protection effects of Liuweiwuling Tablets against concanavalin A-induced acute immunological liver injury in mice / 中国药理学通报

Aim To explore the protective effects and underlying mechanisms of Liu weiwuling Tablets (LW-WL)in concanavalin A (ConA)induced acute immu-nological liver injury in mice.Methods Mice were randomly divided into control,model,Bicyclol,LW-WL low dose (8 g·kg-1 )and LWWL high dose (16 g ·kg-1 )group.The medicattion was performed once daily for seven consecutive days,then the model of im-munological liver injury was prepared by intravenous injection of ConA (15mg·kg-1)in the tail of mice in each group except for the control group one hour after the last treatment.The pathological changes of liver tissues of mice were evaluated by HE staining with, and the levels of alanine amino transferase (ALT),as-partate aminotransferase (AST),and total bilirubin (TBIL)in serum were analyzed by colorimetric meth-od;the level of interleukin 12 (IL-12 ),interferon-γ(IFN-γ),tumor necrosis factor-α(TNF-α),interleu-kin 4 (IL-4)and interleukin 10 (IL-10)in liver was measured by real-time quantitative polymerase chain reaction (RT-qPCR);the changes of Th1 (IFN-γ) and Th2 (IL-4)cells were observed by flow cytometric (FCM)analysis;the expression of Th1/Th2 transcrip-tion factor T-bet/GATA-3 in liver tissue was detected by Western blot.Results Compared with normal con-trol group,the serum ALT,AST and TBIL were signif-icantly increased in model group, the pathological damage of the liver tissue was severe,and the necrosis and apoptosis of hepatic cells were large, which showed that the model was successful .Compared with model group,both low and high dose of LWWL could significantly reduce ALT,AST,TBIL levels in serum induced by ConA;Th1 cells in the spleen decreased, while Th2 cells increased;the expressions of IL-12, IFN-γand TNF-αmRNA were significantly inhibited with IL-4 and IL-10 mRNA expression elevated in mouse liver tissue;the expression of GATA-3 protein was up-regulated,T-bet protein expression showing no significant changes.Conclusion LWWL could regu-late Th1/Th2 balance,thus inhibiting the acute immu-nity hepatic injury induced by ConA.

Application of traditional Chinese medicine in the prevention and treatment of new sudden infectious disease / 药学学报

There has been thousands of years' history that traditional Chinese medicines were used in the prevention and treatment of infectious disease. In recent years, traditional Chinese medicine plays a unique role in the control of variety of new infectious diseases. This article provides a summary on our knowledge of the traditional Chinese medicine theory in the explanation of infectious disease, application of Chinese medicines and the pharmacological mechanism in the successful management on the Ebola virus disease.

Genistein activates endothelial nitric oxide synthase in broiler pulmonary arterial endothelial cells by an Akt-dependent mechanism

Deregulation of endothelial nitric oxide synthase (eNOS) plays an important role in the development of multiple cardiovascular diseases. Our recent study demonstrated that genistein supplementation attenuates pulmonary arterial hypertension in broilers by restoration of endothelial function. In this study, we investigated the molecular mechanism by using broiler pulmonary arterial endothelial cells (PAECs). Our results showed that genistein stimulated a rapid phosphorylation of eNOS at Ser(1179) which was associated with activation of eNOS/NO axis. Further study indicated that the activation of eNOS was not mediated through estrogen receptors or tyrosine kinase inhibition, but via a phosphatidylinositol 3-kinase (PI3K)/Akt-dependent signaling pathway, as the eNOS activity and related NO release were largely abolished by pharmacological inhibitors of PI3K or Akt. Thus, our findings revealed a critical function of Akt in mediating genistein-stimulated eNOS activity in PAECs, partially accounting for the beneficial effects of genistein on the development of cardiovascular diseases observed in animal models.

Alcohol consumption might be beneficial for the patients with resectable liver cancer due to its induction of tolerance to the ischemia-reperfusion injury.

Up to now, curative hepatectomy remains the best treatment for patients with liver cancer, during which ischemia/reperfusion injuries of the liver is inevitable. While the ischemia/reperfusion is a major cause of morbidity and mortality in patients undergone hepatectomy and transplantation, so how to reduce it to an acceptable level and to enhance the tolerance of liver to ischemia/reperfusion injury seem to be an eternal challenge for the hepatobiliary surgeon. Considering the broad protective effect of alcohol, we rationally proposed that the protection induced by ethanol consumption might take place without creature species limitation and without organ specific. To our interests, the liver is the most important place where the alcohol mainly metabolized in our body. The metabolic process of alcohol subsequently induces oxidative stress and inflammatory reaction to the liver. If it simulates the same effect as it acts on other organs, alcohol consumption might be advantageous to the liver undergone subsequent ischemia/reperfusion injuries. Since we are not trying to cure diseases occurring only in rats, the likely relevance of human liver injury should be carefully considered. To adequately evaluate our hypothesis that ethanol preconditioning before liver surgery may do good for the patients due to its induction of the tolerance of the liver to ischemia and reperfusion injuries, at least two studies need to be performed in future. The objective is to find out a simple and effective method to prevent the ischemia/reperfusion injuries during hepatectomy as well as other liver surgery and improve the perioperative outcome of the affected patients. Whether alcohol consumption can protect the liver ischemia/reperfusion injuries both from animals to human, or can only take effect in experiments, or neither of them? All these questions might be answered by the presumed studies. Of course, it would be more useful to testify the true effects of ethanol preconditioning in a clinical situation.

Association of Maximum Temperature between Daily Hospital Emergency Visits for Cardiovascular and Cerebrovascular Diseases:a Case-Crossover Study / 环境与健康杂志

Objective To explore the association between the daily maximum temperature and hospital emergency visits for cardiovascular and cerebrovascular diseases ( ICD-10: I00～I99) in different seasons in Beijing, China. Methods The data of the daily hospital emergency visits for cardiovascular and cerebrovascular diseases (ICD-10: I00～I99) from a Level-3A hospital in Haidian district in Beijing during 2004-2006 and the corresponding meteorological, air pollution data were collected. The seasonal-stratified case-crossover design and Logistic multiple regression model was used for the data analysis. Results After adjusting the influence of relative humidity, wind speed and atmospheric pressure, for 1℃ increase in daily maximum temperature, the corresponding increase in the hospital emergency visits of the diseases was 17.3%(OR=1.173, 95%CI:1.149～1.197) and 4.2% (OR=1.042, 95%CI: 1.011～1.074) in spring and summer of the years, respectively (P0.05). Conclusion The increase of daily maximum temperature may be a risk factor for daily hospital emergency visits for cardiovascular and cerebrovascular diseases in spring and summer, however, it may be a preventive factor in autumn. The effects of air temperature on health should not be the same in seasons.

Impact of Air Pollution on Low Birth Weight and Preterm Birth:a Meta-analysis / 环境与健康杂志

0.05) . Conclusion Air pollution can increase the risk of low birth weight and preterm birth in the exposed pregnant women.