Objective Poisonous plants are a deadly threat to public health in China. The traditional clinical diagnosis of the toxic plants is inefficient, fallible, and dependent upon experts. In this study, we tested the perfo...Objective Poisonous plants are a deadly threat to public health in China. The traditional clinical diagnosis of the toxic plants is inefficient, fallible, and dependent upon experts. In this study, we tested the performance of DNA barcodes for identification of the most threatening poisonous plants in China. Methods Seventy-four accessions of 27 toxic plant species in 22 genera and 17 families were sampled and three DNA barcodes （motK, rbcL, and ITS） were amplified, sequenced and tested. Three methods, Blast, pairwise global alignment （PWG） distance, and Tree-Building were tested for discrimination power. Results The primer universality of all the three markers was high. Except in the case of ITS for Hemerocollis minor, the three barcodes were successfully generated from all the selected species. Among the three methods applied, Blast showed the lowest discrimination rate, whereas PWG Distance and Tree-Building methods were equally effective. The ITS barcode showed highest discrimination rates using the PWG Distance and Tree-Building methods. When the barcodes were combined, discrimination rates were increased for the Blast method.展开更多
Paraquat, is a Bipy herbicide have been widely used in last decade in China. Because of its high human toxicity and mortality characteristics, paraquat has been gained considerable attention in recent years. In order ...Paraquat, is a Bipy herbicide have been widely used in last decade in China. Because of its high human toxicity and mortality characteristics, paraquat has been gained considerable attention in recent years. In order to evaluate the epidemic status of paraquat harm to human health in China, 24 h hotline information about paraquat intoxication consultation from January Ist, 2002 to December 31st, 2011 was collected by experienced practitioners in the Poison Control Center （National Poison Control Center, NPCC）展开更多
Objective This study aimed to determine the spatiotemporal distribution and epidemiological characteristics of hospital admissions for carbon monoxide poisoning(COP)in Guangdong,China,from 2013 to 2020.Methods Data on...Objective This study aimed to determine the spatiotemporal distribution and epidemiological characteristics of hospital admissions for carbon monoxide poisoning(COP)in Guangdong,China,from 2013 to 2020.Methods Data on age-and sex-specific numbers of hospital admissions due to COP in Guangdong(2013-2020)were collected.Daily temperatures were downloaded through the China Meteorological Data Sharing Service System.We analyzed temporal trends through time series decomposition and used spatial autocorrelation analysis to detect spatial clustering.The distributed lag nonlinear model was used to quantify the effects of temperature.Results There were 48,854 COP admissions over the study period.The sex ratio(male to female)was1:1.74.The concentration ratios(M)ranged from 0.73-0.82.The highest risk occurred in January(season index=3.59).Most cases were concentrated in the northern mountainous areas of Guangdong with high-high clustering.COP in the study region showed significant spatial autocorrelation,and the global Moran’s I value of average annual hospital admission rates for COP was 0.447(P<0.05).Low temperatures were associated with high hospital admission rates for COP,with a lag lasting 7 days.With a lag of 0 days,the effects of low temperatures[5th(12℃)]on COP were 2.24-3.81,as compared with the reference temperature[median(24℃)].Conclusion COP in Guangdong province showed significant temporal and spatial heterogeneity.Low temperature was associated with a high risk of COP,and the influence had a lag lasting 7 days.展开更多
基金supported by the Fundamental Research Funds for the Central Universities(grant no.TD2012-04)the Scientific Research Foundation of the State Human Resource Ministry and the Education Ministry for Returned Chinese Scholars(to L.Xie)+2 种基金the State Key Laboratory Program from the State Key Laboratory of Systematic and Evolutionary Botany(grant no.LSEB2011-07)the Main Direction Program of Knowledge Innovation of the Chinese Academy of Sciences(grant no.KSCX2-EW-Z-1)the National Natural Science Foundation of China(grant nos.31170201,81072317,31110103911)
文摘Objective Poisonous plants are a deadly threat to public health in China. The traditional clinical diagnosis of the toxic plants is inefficient, fallible, and dependent upon experts. In this study, we tested the performance of DNA barcodes for identification of the most threatening poisonous plants in China. Methods Seventy-four accessions of 27 toxic plant species in 22 genera and 17 families were sampled and three DNA barcodes （motK, rbcL, and ITS） were amplified, sequenced and tested. Three methods, Blast, pairwise global alignment （PWG） distance, and Tree-Building were tested for discrimination power. Results The primer universality of all the three markers was high. Except in the case of ITS for Hemerocollis minor, the three barcodes were successfully generated from all the selected species. Among the three methods applied, Blast showed the lowest discrimination rate, whereas PWG Distance and Tree-Building methods were equally effective. The ITS barcode showed highest discrimination rates using the PWG Distance and Tree-Building methods. When the barcodes were combined, discrimination rates were increased for the Blast method.
基金supported by Key Program of Scientific Research of Public Welfare Project from the Ministry of Health of the People's Republic of China (No 201202006-02)
文摘Paraquat, is a Bipy herbicide have been widely used in last decade in China. Because of its high human toxicity and mortality characteristics, paraquat has been gained considerable attention in recent years. In order to evaluate the epidemic status of paraquat harm to human health in China, 24 h hotline information about paraquat intoxication consultation from January Ist, 2002 to December 31st, 2011 was collected by experienced practitioners in the Poison Control Center （National Poison Control Center, NPCC）
基金supported by National Institute for Occupational Health and Poison Control,Chinese Center for Disease Control and Prevention Chemical Poisoning Treatment base and Health Emergency Team Operation[131031109000160007]
文摘Objective This study aimed to determine the spatiotemporal distribution and epidemiological characteristics of hospital admissions for carbon monoxide poisoning(COP)in Guangdong,China,from 2013 to 2020.Methods Data on age-and sex-specific numbers of hospital admissions due to COP in Guangdong(2013-2020)were collected.Daily temperatures were downloaded through the China Meteorological Data Sharing Service System.We analyzed temporal trends through time series decomposition and used spatial autocorrelation analysis to detect spatial clustering.The distributed lag nonlinear model was used to quantify the effects of temperature.Results There were 48,854 COP admissions over the study period.The sex ratio(male to female)was1:1.74.The concentration ratios(M)ranged from 0.73-0.82.The highest risk occurred in January(season index=3.59).Most cases were concentrated in the northern mountainous areas of Guangdong with high-high clustering.COP in the study region showed significant spatial autocorrelation,and the global Moran’s I value of average annual hospital admission rates for COP was 0.447(P<0.05).Low temperatures were associated with high hospital admission rates for COP,with a lag lasting 7 days.With a lag of 0 days,the effects of low temperatures[5th(12℃)]on COP were 2.24-3.81,as compared with the reference temperature[median(24℃)].Conclusion COP in Guangdong province showed significant temporal and spatial heterogeneity.Low temperature was associated with a high risk of COP,and the influence had a lag lasting 7 days.
