The pollution levels,composition characteristics and sources of atmospheric PM2.5 were investigated based on field measurement at a rural site in the North China Plain(NCP) from pre-heating period to heating period in...The pollution levels,composition characteristics and sources of atmospheric PM2.5 were investigated based on field measurement at a rural site in the North China Plain(NCP) from pre-heating period to heating period in winter of 2017.The hourly average concentrations of PM2.5 frequently exceeded 150 μg/m3 and even achieved 400 μg/m3,indicating that the PM2.5pollution was still very serious despite the implementation of stricter control measures in the rural area.Compared with the pre-heating period,the mean concentrations of organic carbon(OG),element carbon(EC) and chlorine ion(Cl-) during the heating period increased by 20.8%,36.6% and 38.8%,accompanying with increments of their proportions in PM2.5from 37.5%,9.8% and 5.5% to 42.9%,12.7% and 7.2%,respectively.The significant increase of both their concentrations and proportions during the heating period was mainly ascribed to the residential coal combustion.The proportions of sulfate,nitrate and ammonium respectively increased from 9.9%,10.9% and 9.0% in nighttime to 13.8%,16.2% and 11.1% in daytime,implying that the daytime photochemical reactions made remarkable contributions to the secondary inorganic aerosols.The simulation results from WRF-Chem revealed that the emission of residential coal combustion in the rural area was underestimated by the current emission inventory.Six sources identified by positive matrix factorization(PMF) based on the measurement were residential coal combustion,secondary formation of inorganic aerosols,biomass burning,vehicle emission and raising dust,contributing to atmospheric PM2.5 of 40.5%,21.2%,16.4%,10.8%,8.6% and 2.5%,respectively.展开更多
Importance: By demonstrating with TEL-AML1, this study indicated that mRNAs transcribed from fusion genes are ideal targets for minimal residual disease (MRD) monitoring in childhood acute lymphoblastic leukemia, and ...Importance: By demonstrating with TEL-AML1, this study indicated that mRNAs transcribed from fusion genes are ideal targets for minimal residual disease (MRD) monitoring in childhood acute lymphoblastic leukemia, and that different thresholds are needed to apply them into the risk stratification. Objective: TEL-AML1 expression was measured at three time points to 1) determine cut-off values for predicting acute lymphoblastic leukemia (ALL) relapse;2) investigate the prognostic value of this method and how well the results at these time points correlated;3) determine the correlation between MRD levels assessed using this marker and that determined by immunoglobulin/T-cell receptor (Ig/TCR) rearrangement detection. Methods: TEL-AML1 expression in 62 children with ALL was quantitated by real-time quantitative PCR at day 15, day 33, and month 3. The relationship between patient outcome and TEL-AML1 level was analyzed at each time point. The correlation between the MRD levels determined by TEL-AML1 or Ig/TCR rearrangements was also analyzed. results: For day 33, 6.68 TEL-AML1 copies/104 ABL copies was determined to be the best cut-off value. Higher levels were correlated with relapse (P = 0.001). For day 15 and month 3, the best cut-off values were 336.5 and 0.85 copies/104 ABL copies respectively;patients with higher expression levels had lower RFSs (day 15: P = 0.027;month 3:P = 0.023). For days 15 and 33, MRD levels assessed using TEL-AML1 or Ig/TCR rearrangements were strongly correlated [Spearman rank correlation coefficient (ρ) = 0.729 (day 15), 0.719 (day 33);P < 0.001 (both)], and both methods were equally effective at predicting relapse. At month 3, there was moderate correlation between the results derived from the two markers (ρ = 0.418, P = 0.003);however, receiver operating characteristic curve analysis showed that TEL-AML1 was a better prognostic marker. Interpretation: TEL-AML1 is an effective marker for MRD assessment and relapse prediction in children with ALL.展开更多
基金supported by the National Natural Science Foundation of China(Nos.91544211,41727805,41575121,and 21707151)the National research program for Key issues in air pollution control(Nos.DQGG0103,DQGG0209,and DQGG0206)+1 种基金the National Key Research and Development Program of China(Nos.2016YFC0202200,2017YFC0209703,and 2017YFF0108301)Key Laboratory of Atmospheric Chemistry,China Meteorological Administration(No.2018B03)
文摘The pollution levels,composition characteristics and sources of atmospheric PM2.5 were investigated based on field measurement at a rural site in the North China Plain(NCP) from pre-heating period to heating period in winter of 2017.The hourly average concentrations of PM2.5 frequently exceeded 150 μg/m3 and even achieved 400 μg/m3,indicating that the PM2.5pollution was still very serious despite the implementation of stricter control measures in the rural area.Compared with the pre-heating period,the mean concentrations of organic carbon(OG),element carbon(EC) and chlorine ion(Cl-) during the heating period increased by 20.8%,36.6% and 38.8%,accompanying with increments of their proportions in PM2.5from 37.5%,9.8% and 5.5% to 42.9%,12.7% and 7.2%,respectively.The significant increase of both their concentrations and proportions during the heating period was mainly ascribed to the residential coal combustion.The proportions of sulfate,nitrate and ammonium respectively increased from 9.9%,10.9% and 9.0% in nighttime to 13.8%,16.2% and 11.1% in daytime,implying that the daytime photochemical reactions made remarkable contributions to the secondary inorganic aerosols.The simulation results from WRF-Chem revealed that the emission of residential coal combustion in the rural area was underestimated by the current emission inventory.Six sources identified by positive matrix factorization(PMF) based on the measurement were residential coal combustion,secondary formation of inorganic aerosols,biomass burning,vehicle emission and raising dust,contributing to atmospheric PM2.5 of 40.5%,21.2%,16.4%,10.8%,8.6% and 2.5%,respectively.
文摘Importance: By demonstrating with TEL-AML1, this study indicated that mRNAs transcribed from fusion genes are ideal targets for minimal residual disease (MRD) monitoring in childhood acute lymphoblastic leukemia, and that different thresholds are needed to apply them into the risk stratification. Objective: TEL-AML1 expression was measured at three time points to 1) determine cut-off values for predicting acute lymphoblastic leukemia (ALL) relapse;2) investigate the prognostic value of this method and how well the results at these time points correlated;3) determine the correlation between MRD levels assessed using this marker and that determined by immunoglobulin/T-cell receptor (Ig/TCR) rearrangement detection. Methods: TEL-AML1 expression in 62 children with ALL was quantitated by real-time quantitative PCR at day 15, day 33, and month 3. The relationship between patient outcome and TEL-AML1 level was analyzed at each time point. The correlation between the MRD levels determined by TEL-AML1 or Ig/TCR rearrangements was also analyzed. results: For day 33, 6.68 TEL-AML1 copies/104 ABL copies was determined to be the best cut-off value. Higher levels were correlated with relapse (P = 0.001). For day 15 and month 3, the best cut-off values were 336.5 and 0.85 copies/104 ABL copies respectively;patients with higher expression levels had lower RFSs (day 15: P = 0.027;month 3:P = 0.023). For days 15 and 33, MRD levels assessed using TEL-AML1 or Ig/TCR rearrangements were strongly correlated [Spearman rank correlation coefficient (ρ) = 0.729 (day 15), 0.719 (day 33);P < 0.001 (both)], and both methods were equally effective at predicting relapse. At month 3, there was moderate correlation between the results derived from the two markers (ρ = 0.418, P = 0.003);however, receiver operating characteristic curve analysis showed that TEL-AML1 was a better prognostic marker. Interpretation: TEL-AML1 is an effective marker for MRD assessment and relapse prediction in children with ALL.
