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Objective@#To identify the most appropriate meteorological variable for forecasting the health risk of high temperatures.@*Methods@#The surveillance on causes of death, meteorological data and surveillance on air quality among registered residents in Ningbo City, Zhejiang Province during the period between May and October from 2013 to 2019 were collected. The association models of daily minimum temperature, average daily temperature, daily maximum temperature, daily minimum heat index, average daily heat index, daily maximum heat index, average daily apparent temperature and torridity index with deaths and years of life lost (YLL) were created using time series analysis and distributed lag non-linear models, and the model fitting effect was evaluated using the minimum Akaike information criterion (AIC) procedure. The most appropriate meteorological variable for forecasting gender-, age- and mortality-specific health risks of high temperatures was identified.@*Results@#A total of 120 628 deaths were reported during the study period, with daily deaths of 94 cases, and daily YLL rate of 19.74 person-years/105. Except for daily minimum heat index and torridity index, the exposure-response relationships between other six meteorological variables and deaths and overall YLL rate all appeared a “J” shape. The lowest AIC values and the optimal model fitting effects were measured for the association models between average daily temperature and whole populations, females, subjects at ages of 65 years and older, and deaths and YLL rates due to circulatory diseases and respiratory diseases.@*Conclusion@#High model fitting effects are observed between average daily temperature and deaths and YLL rates, which are more suitable for forecasting the health risk of high temperature.
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Objective @#To explore season-specific association between ambient PM2.5 and outpatient visits for asthma in the urban areas of Ningbo.@*Methods @#Based on the platform of population health information,we collected daily outpatient visits for asthma in four general hospitals in the urban areas of Ningbo from 2014 to 2016. We also collected data of meteorological indicators and air pollutants during the same period from local weather bureau and environmental monitoring center. Generalized additive model（GAM）was applied to examining the relationship and lag effects between ambient PM2.5 and outpatient visits for asthma in different seasons. @*Results @#A total of 45 184 outpatients with asthma were reported from 2014 to 2016,with an average of 41.23 cases per day. The annual average concentration of PM2.5 in Ningbo was（43.12± 26.40）μg/m3 ,with the peak as（65.27± 34.51）μg/m3 in winter and the though as（27.34± 12.70）μg/m3 in summer. A 10 μg/m3 increase of PM2.5 were associated with 1.14%（95%CI：0.48%-1.81%）,2.40%（95%CI：0.22%-4.63%）and 1.37%（95%CI：0.28%-2.48%）increase of outpatient volume for asthma on the day in the whole year,summer and winter,respectively. In summer,males were at higher risk compared to females（P< 0.05）;in winter,people under 65 years old were at higher risk（P< 0.05）. Including NO2,the effect of PM2.5 on the excess risk of outpatient visits for asthma in summer was enhanced in two-pollutant models（P< 0.05）. @*Conclusion @#PM2.5 pollution might increase the outpatient volume for asthma in summer and winter. NO2 might have synergistic effect with PM2.5 on asthma.
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Objective@#To explore the relationship between different temperature indicators and hospital admission for childhood pneumonia.@*Methods@#The hospital admissions for pneumonia in children aged 0-14 years and meteorological data in Ningbo from 2015 to 2017 were collected. A distributed lag non-linear model combined with a generalized linear model was employed to analyze the exposure-response relationships between different temperature indicators（daily average,minimum and maximum temperature;the first percentile as low temperature and the 99th percentile as high temperature）and hospital admission for childhood pneumonia.@*Results@#A total of 4 542 cases of childhood pneumonia were recruited. There were obvious seasonal fluctuations found in the inpatient volume of childhood pneumonia,which peaked in winter and bottomed in summer. After adjusting for potential confounding variables such as relative humidity,PM2.5,long term trend and seasonal trend,the results suggested that after exposed to whether low or high temperature,the inpatient volume of childhood pneumonia would increase. When the daily average temperature and daily minimum temperature were employed,the effect of high temperature on the increase of inpatient volume for childhood pneumonia was statistically significant and the cumulative relative risk for a lag of 0-7 days were 1.52（95%CI：1.04-2.23）and 1.59（95%CI：1.08-2.34）,respectively. When the daily maximum temperature was employed,the effect of low temperature on the increase of inpatient volume for childhood pneumonia was statistically significant and the cumulative relative risk for a lag of 0-7 days were 1.30（95%CI：1.02-1.66）.@*Conclusion@#Our findings suggested that an increased risk of hospital admission for childhood pneumonia was associated with both low and high temperature.
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Objective@#To explore the short-term effects of ambient PM2.5 on the outpatient visits of chronic obstructive pulmonary disease (COPD) in Ningbo city.@*Methods@#Through the regional health information platform, number of daily COPD outpatients from the four general hospitals in Ningbo was gathered. Related data on meteorological and air pollution from 2014 to 2016 was also collected. Generalized additive model (GAM) of Possion regression was used to estimate the impact of PM2.5 pollution on COPD outpatients and the lagging effects.@*Results@#In cold (November- April) or warm seasons (May-October), an 10 μg/m3 increase of PM2.5 would result in the excessive number of COPD outpatients as 1.87% (95%CI: 0.98%-2.76%), 2.09% (95%CI: 1.11%-3.08%) and 2.56% (95%CI: 0.56%-4.59%), respectively. In terms of the short-term effects of PM2.5 the strongest was seen in the days of warm season but without delay (P<0.05). The strongest effect appeared at day 4 in cold season and the effect was particularly significant seen in the over 65 year-old group or in the female population. After the introduction of PM10, SO2 and NO2, the concentration of PM2.5, did not show significant effect on the number of hospital visits due to COPD on the same day (P>0.05). The effect of COPD on the fourth day showed a slight change after the lagging, and the effect was statistically significant (P<0.05).@*Conclusion@#The increase of PM2.5 concentration in Ningbo was related to the increase of COPD outpatient numbers. Effective prevention measures should be taken to protect the vulnerable population and to reduce the risk of COPD.
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Objective To study the influence of daily air temperature on daily chronic obstructive pulmonary disease (COPD) mortality in residents in Ningbo. Methods A time-series analysis using distributional lag non-linear model (DLNM) was conducted to estimate the attributable numbers and fraction of average air temperature on the daily COPD mortality in Ningbo from 2011 to 2016, by controlling the long-term time trend, day of week, air pollutants and other weather variables. Results A reverse J-shape relationship was found between the average air temperature and COPD mortality, and the minimum-mortality temperature (MMT) was 25.5℃. The relative risks of extreme low and extreme high air temperature over lag 0-14 d were 2.767 (95%CI: 1.950-3.928) and 1.197 (95%CI:1.021-1.404). In total, 31.62%(95%CI:23.05%-38.89%) of COPD mortality (4963 cases, 95%CI: 3469-6027) was attributable to non-MMT exposure, More attributable deaths were due to low air temperature, with a fraction of 30.41%corresponding to 4772 deaths, compared with 1.22%and 192 deaths due to high air temperature. Low air temperature and high temperature were more likely to influence the mortality in females and those aged ≥65 years, but the influence was not significant in people aged <65 years. Conclusion Both high and low air temperature were associated with an increased risk of COPD mortality in residents in Ningbo, especially during cold season, related measures on disease prevention should be taken to protect vulnerable population to reduce the risk of COPD mortality.
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Objective To study the influence of daily air temperature on daily chronic obstructive pulmonary disease (COPD) mortality in residents in Ningbo. Methods A time-series analysis using distributional lag non-linear model (DLNM) was conducted to estimate the attributable numbers and fraction of average air temperature on the daily COPD mortality in Ningbo from 2011 to 2016, by controlling the long-term time trend, day of week, air pollutants and other weather variables. Results A reverse J-shape relationship was found between the average air temperature and COPD mortality, and the minimum-mortality temperature (MMT) was 25.5℃. The relative risks of extreme low and extreme high air temperature over lag 0-14 d were 2.767 (95%CI: 1.950-3.928) and 1.197 (95%CI:1.021-1.404). In total, 31.62%(95%CI:23.05%-38.89%) of COPD mortality (4963 cases, 95%CI: 3469-6027) was attributable to non-MMT exposure, More attributable deaths were due to low air temperature, with a fraction of 30.41%corresponding to 4772 deaths, compared with 1.22%and 192 deaths due to high air temperature. Low air temperature and high temperature were more likely to influence the mortality in females and those aged ≥65 years, but the influence was not significant in people aged <65 years. Conclusion Both high and low air temperature were associated with an increased risk of COPD mortality in residents in Ningbo, especially during cold season, related measures on disease prevention should be taken to protect vulnerable population to reduce the risk of COPD mortality.
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We analyzed the whole genome coding sequence of Volvariella volvacea to study the pattern utilization of codons by Codon W 1.4.2. As results, 24 optimal codons were identified. Moreover, the frequency of codons usage was calculated by CUSP program. We compared the frequency of codons usage of V. volvacea with other organisms including 6 modal value species (Homo sapiens, Saccharomys cerevisiae, Arabidopsis thalian, Mus musculus, Danio rerio and Drosophila melanogaster) and 4 edible fungi (Coprinopsis cinerea, Agaricus bisporus, Lentinula edodes and Pleurotus ostreatus). We found that there were less differences in 3 edible fungi (excluding Pleurotus ostreatus) than 6 modal value species, comparing with the frequency of codons usage of V. volvacea. With software SPSS16.0, cluster analysis which showed differences in the size of codon bias, reflects the evolutionary relationships between species, which can be used as a reference of evolutionary relationships of species. This was the first time for analysis the codon preference among the whole coding sequences of edible fungi, serving as theoretical basis to apply genetic engineering of V. volvacea.
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Animals , Humans , Mice , Agaricales , Genetics , Arabidopsis , Genetics , Cluster Analysis , Codon , DNA, Fungal , Genetics , Drosophila melanogaster , Genetics , Saccharomyces cerevisiae , Genetics , Software , Volvariella , Genetics , Zebrafish , GeneticsABSTRACT
In order to study effects of ginseng on the metabolism of drug belong to CYP3A4 substrate, screening of pregnane X receptor activation from ginsenosides was performed by reporter assay. Based on PXR-CYP3A stable translation cell lines, 13 ginsenosides were screened for pregnane X receptor activation by reporter assays, and RIF as the positive control. The effect of ginsenosides Rg1 onCYP3A4 mRNA expression was also investigated by RT-PCR. The PXR-CYP3A stable translation cell lines had good response to RIF, and the EC50 is 2.51 micro mol x L(-1). When the condition of final concentration was 10 micromol x L(-1), ginsenoside F2 and protopanaxatriol had moderate inductive effects on PXR. Panaxotriol, Rg2, pseudoginsenoside F11, Rg1, ginsenoside and Rb3 had inhibitory effects on PXR. Ginsenoside Rf1, Rg3, Rh2 and protopanaxdiol had no obvious effects on PXR. Rg1 down-regulated CYP3A4 mRNA expression in a concentration-dependent manner. Activation of pregnane X receptor by ginsenosides may influence the metabolism of drug belong to CYP3A4 substrate, and cause ginseng-drug interactions.
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Objective To investigate the immunophenotype and molecular genetics of mature aggressive B-cell lymphomas in Chinese pediatric patients and provide the criteris for the diagnosis of them.Methods We collected 97 paraffin-embeded tissue samples of pediatric cases of mature aggressive B-cell lymphomas including 81 Burkitt lymphoma (BL) cases, 8 diffuse large B cell lymphoma (DLBCL) cases and 8unclassifiable B cell lymphoma with featares intermediate between BL and DLBCL (BL/DLBCL) cases. The immunophenotype and genetic features of them were detected by immunohistochemistry and interphase FISH.Results The expression of bcl-2 [3 %(2/66) in BL, 50 % (4/8) in DLBCL, 50 % (4/8) in BL/DLBCL], MUM1 [17 % (12/71) in BL, 63 % (5/8) in DLBCL, 63 % (5/8) in BL/DLBCL] and mean Ki-67 proliferation index [(93±4.4)% in BL, (83±14.3)% in DLBCL, (80±11.5)% in BL/DLBCL] were significantly different between BL and DLBCL and between BL and BL/DLBCL. The frequency of c-myc rearrangement [98 % (79/81) in BL,38 % (3/8) in DLBCL, 50 % (4/8) in BL/DLBCL] and an extra copy of bcl-6 [0 % in BL, 38 % (3/8) in DLBCL, 25 % (2/8) in BL/DLBCL] were also significantly different between BL and DLBCL and between BL and BL/DLBCL. Conclusion Diagnosis of the mature aggressive B cell lymphomas in pediatrics should be based on the comprehensive review and integration of morphologic, immunohistochemical and molecular genetic features. BL/DLBCL is more likely a subgroup of the DLBCL in pediatric population. The expression of CD10 and bcl-6 but not bcl-2, a high Ki-67 PI (＞90 %) and a c-myc rearrangement but not bcl-2 or bcl-6rearrangement are the features of BL. Regardless of the expression of CD10 and bcl-6, positive staining for bcl2, Ki-67 PI below 90 % and an extra copy of the bcl-6 favor a diagnosis of DLBCL or BL/DLBCL.