OBJECTIVE: To evaluate the safety and efficacy of Tongkuaixiao ointment(TKXO) in treating moderate-to-severe cancer induced somatalgia.METHODS: Totally 130 patients with moderateto-severe cancer induced somatalgia wer...OBJECTIVE: To evaluate the safety and efficacy of Tongkuaixiao ointment(TKXO) in treating moderate-to-severe cancer induced somatalgia.METHODS: Totally 130 patients with moderateto-severe cancer induced somatalgia were randomly divided into a TKXO group and a control group.The patients were treated with either TKXO applied externally or placebo, with opioid analgesics orally at the same time. Observation parameters were included numerical rating scale(NRS) scores,analgesic efficacy, initiation effective time, persistent analgesic time, equivalent morphine dose,National Comprehensive Cancer Network(NCCN)grade in Impact of Pain Measurement Scores, and safety and satisfaction extent investigation.RESULTS: NRS scores and NCCN grade in Impact of Pain Measurement Scores decreased significantly after 5-days' treatment in the two groups(P <0.0001). Compared to the control group, initiation effective time was significantly shorter(P < 0.05)and persistent analgesic time was significantly longer(P < 0.01), equivalent oral morphine doses of the first day and the whole treatment course were significantly decreased in the TKXO treatment group(P < 0.01 or P < 0.05). No obvious adverse effects were found in the TKXO group.CONCLUSION: TKXO combined with opioid analgesics possesses the advantages of high efficacy,fast action, long persistent action, safety and convenience in use, and it can reduce the dose of opioid.展开更多
Forests exert significant biogeophysical cooling effects(CE)through processes such as increased evapotranspiration,reduced albedo,and enhanced surface roughness.However,little is known about the extent to which elevat...Forests exert significant biogeophysical cooling effects(CE)through processes such as increased evapotranspiration,reduced albedo,and enhanced surface roughness.However,little is known about the extent to which elevation-induced temperature differences bias the observed CE and how this bias interacts with the underlying biogeophysical mechanisms.In this study,we integrated multisensor remote sensing products and Shuttle Radar Topography Mission(SRTM)elevation data on the Google Earth Engine(GEE)platform,and applied a spatial-temporal window regression approach to quantify and correct the sensitivity of land surface temperature(LST)to elevation for forest pixels across China from 2001 to 2022.First,we found that forest LST exhibited a significant negative relationship with elevation,leading to systematic CE overestimation by 0.61 K during the day and 0.60 K at night compared with altitudecorrected CE values.Second,after correction,the CE showed clear spatial heterogeneity,with stronger daytime cooling in tropical(-0.54 K)and temperate forests(-0.24 K),and warming in cold(+0.11 K)and arid regions(+0.53 K),while most regions experienced nighttime warming.Among forest types,evergreen needleleaf forests(ENF)exhibited the strongest daytime cooling(-0.36 K),whereas deciduous broadleaf(DBF)and open shrublands(OS)tended to warm.Third,mechanism analysis revealed that elevation correction strengthened the correlations of CE with leaf area index(LAI)and evapotranspiration,while maintaining a significant negative correlation with albedo,indicating that both radiative and non-radiative processes jointly shape the unbiased CE.These findings provide a more accurate quantification of forest CE by eliminating elevation-induced bias,which providing a more accurate assessment of the climate mitigation potential of forests,which is crucial for developing more effective forest management and ecological restoration strategies.展开更多
BACKGROUND Crohn's disease(CD)is a type of inflammatory bowel disease,with chronic and progressive characteristics.Infliximab(IFX)can rapidly relieve CD-related symptoms and promote mucosal healing.However,some pa...BACKGROUND Crohn's disease(CD)is a type of inflammatory bowel disease,with chronic and progressive characteristics.Infliximab(IFX)can rapidly relieve CD-related symptoms and promote mucosal healing.However,some patients may occur secondary loss of response(SLOR)during the maintenance treatment,leading to the recurrence or progression of CD.The current IFX efficacy prediction models for CD have limited applicability to SLOR.Radiomics,as a non-invasive te-chnique,is expected to serve as a more accurate tool for predicting the risk of SLOR.AIM To develop a radiomics-based model via integrative analysis of intestinal wall and creeping fat to predict SLOR in CD.METHODS We retrospectively analyzed clinical and imaging data from 220 CD patients in two centers.Univariate and multivariate analyses were used to screen out clinically independent predictors of SLOR.Radiomics features of the intestinal wall and creeping fat were extracted and fused together for analysis.Univariate and least absolute shrinkage and selection operator analyses were used to select the most valuable radiomics features to calculate Radscore and develop radiomics predictive model.A combined predictive model was developed based on the Radscore and clinically independent predictors through multivariate logistic regression analysis.Area under the receiver operating characteristic curve(AUC),calibration curve and the decision curve analysis were used to verify model performance.RESULTS White blood cell count,disease duration and Harvey-Bradshaw Index were identified as clinically independent predictors of SLOR to develop the clinical model.Fifteen most valuable radiomics features were selected to develop the radiomics model.Compared with the clinical and radiomics models,the combined model achieved the best prediction performance,with AUCs were 0.871(95%CI:0.814-0.929)in the training cohort and 0.854(95%CI:0.759-0.949)in the validation cohort.CONCLUSION The combined model that integrates intestinal wall and creeping fat analysis is valuable for predicting the SLOR of IFX in CD.展开更多
目的使用河北省营养项目人群数据,探讨母亲孕期空气颗粒物(PM)暴露对新生儿体格发育状况指标的影响,并评估不同颗粒物暴露的滞后效应以确定敏感时间窗。方法本研究基于河北孕期营养干预项目数据,纳入14148对母婴数据,通过China High Air...目的使用河北省营养项目人群数据,探讨母亲孕期空气颗粒物(PM)暴露对新生儿体格发育状况指标的影响,并评估不同颗粒物暴露的滞后效应以确定敏感时间窗。方法本研究基于河北孕期营养干预项目数据,纳入14148对母婴数据,通过China High Air Pollutants(CHAP)数据库获取1 km×1 km分辨率的月均PM浓度,结合孕妇居住地址和孕周估算孕早期、孕中期、孕晚期及全孕期的PM暴露水平。新生儿体格发育状况指标根据中国标准按照不同孕周和性别标准化为Z评分。采用多元线性回归模型分析不同PM暴露与新生儿体格发育状况指标的关联,并通过分布滞后线性模型评估不同妊娠阶段的滞后效应,明确敏感时间窗。结果全孕期每增加10μg/m 3的PM 2.5、PM 10和PM_(2.5-10)暴露分别使出生体重Z评分下降0.03(95%CI:-0.04,-0.02)、0.03(95%CI:-0.04,-0.02)和0.10(95%CI:-0.12,-0.08);出生身长和头围Z评分亦呈负相关,且PM_(2.5-10)的影响最显著。分布滞后线性模型结果显示,孕早期和孕晚期为新生儿出生体重和身长的关键敏感窗口,出生头围的敏感期主要集中在孕早期。结论孕期PM暴露与新生儿体格发育状况呈显著负相关,PM_(2.5-10)的效应最为突出。孕早期和孕晚期暴露为胎儿体格发育影响的关键窗口期。本研究为空气污染防控政策及孕期健康干预提供了重要的科学依据。展开更多
目的分析甲基转移酶3(METTL3)抑制剂STM2457对人肝癌细胞系HepG2的影响,重点研究其对N6-甲基腺苷(m6A)表达的影响及其抗肿瘤机制。方法将HepG2细胞分为实验组(STM2457处理)和对照组(DMSO处理)。利用纳米孔(Nanopore)测序技术,结合m6Anet...目的分析甲基转移酶3(METTL3)抑制剂STM2457对人肝癌细胞系HepG2的影响,重点研究其对N6-甲基腺苷(m6A)表达的影响及其抗肿瘤机制。方法将HepG2细胞分为实验组(STM2457处理)和对照组(DMSO处理)。利用纳米孔(Nanopore)测序技术,结合m6Anet,NanoCount,xPore和GFOLD方法,分别对m6A修饰水平、转录组表达及差异基因进行分析。通过基因本体(GO)和京都基因与基因组百科(KEGG)对差异基因进行功能富集分析。结果STM2457降低HepG2细胞的m6A修饰位点数量(6446 vs 11549)及修饰水平(0.95±0.03 vs 0.98±0.03),差异具有统计学意义(Z=-19.915,P<0.01)。差异基因分析共筛选出109个上调基因和340个下调基因,其中与肝癌发生发展密切相关的基因PDLIM5、AZGP1和RNASET2,其m6A修饰水平降低,而基因表达水平升高。功能富集分析结果显示,差异基因主要富集在细胞黏附、凋亡、翻译调控及肝细胞癌相关通路。结论STM2457通过抑制METTL3活性,降低HepG2细胞的m6A修饰水平,上调基因PDLIM5,AZGP1和RNASET2的表达,促进HepG2细胞凋亡,为肝癌治疗提供潜在治疗靶点。展开更多
基金Supported by the Eleventh Five-year National Plan of Sciences and Technology(Clinical Research of Traditional Chinese Medicine External Treatment by Investigating Pathogenesis and Syndrome Differentiation of Cancer Pain,No.2008BAI53B023)Key Project of Beijing Municipal Science and Technology Commission(Standardization of Traditional Chinese Medicine External Treatment in Cancer Induced Pain,Ascites or Pleural Effusion,No.D13110002213004)the Postdoctoral Fund of Sciences(Effects of the Method for Tonifying Kidney to Strengthen the Bone in Treating Bone Cancer Pain,No.2012M510358)
文摘OBJECTIVE: To evaluate the safety and efficacy of Tongkuaixiao ointment(TKXO) in treating moderate-to-severe cancer induced somatalgia.METHODS: Totally 130 patients with moderateto-severe cancer induced somatalgia were randomly divided into a TKXO group and a control group.The patients were treated with either TKXO applied externally or placebo, with opioid analgesics orally at the same time. Observation parameters were included numerical rating scale(NRS) scores,analgesic efficacy, initiation effective time, persistent analgesic time, equivalent morphine dose,National Comprehensive Cancer Network(NCCN)grade in Impact of Pain Measurement Scores, and safety and satisfaction extent investigation.RESULTS: NRS scores and NCCN grade in Impact of Pain Measurement Scores decreased significantly after 5-days' treatment in the two groups(P <0.0001). Compared to the control group, initiation effective time was significantly shorter(P < 0.05)and persistent analgesic time was significantly longer(P < 0.01), equivalent oral morphine doses of the first day and the whole treatment course were significantly decreased in the TKXO treatment group(P < 0.01 or P < 0.05). No obvious adverse effects were found in the TKXO group.CONCLUSION: TKXO combined with opioid analgesics possesses the advantages of high efficacy,fast action, long persistent action, safety and convenience in use, and it can reduce the dose of opioid.
基金Under the auspices of National Social Sciences Foundation of China(No.21BJY114)。
文摘Forests exert significant biogeophysical cooling effects(CE)through processes such as increased evapotranspiration,reduced albedo,and enhanced surface roughness.However,little is known about the extent to which elevation-induced temperature differences bias the observed CE and how this bias interacts with the underlying biogeophysical mechanisms.In this study,we integrated multisensor remote sensing products and Shuttle Radar Topography Mission(SRTM)elevation data on the Google Earth Engine(GEE)platform,and applied a spatial-temporal window regression approach to quantify and correct the sensitivity of land surface temperature(LST)to elevation for forest pixels across China from 2001 to 2022.First,we found that forest LST exhibited a significant negative relationship with elevation,leading to systematic CE overestimation by 0.61 K during the day and 0.60 K at night compared with altitudecorrected CE values.Second,after correction,the CE showed clear spatial heterogeneity,with stronger daytime cooling in tropical(-0.54 K)and temperate forests(-0.24 K),and warming in cold(+0.11 K)and arid regions(+0.53 K),while most regions experienced nighttime warming.Among forest types,evergreen needleleaf forests(ENF)exhibited the strongest daytime cooling(-0.36 K),whereas deciduous broadleaf(DBF)and open shrublands(OS)tended to warm.Third,mechanism analysis revealed that elevation correction strengthened the correlations of CE with leaf area index(LAI)and evapotranspiration,while maintaining a significant negative correlation with albedo,indicating that both radiative and non-radiative processes jointly shape the unbiased CE.These findings provide a more accurate quantification of forest CE by eliminating elevation-induced bias,which providing a more accurate assessment of the climate mitigation potential of forests,which is crucial for developing more effective forest management and ecological restoration strategies.
基金Supported by Natural Science Foundation of Anhui Province,China,No.2308085MH241.
文摘BACKGROUND Crohn's disease(CD)is a type of inflammatory bowel disease,with chronic and progressive characteristics.Infliximab(IFX)can rapidly relieve CD-related symptoms and promote mucosal healing.However,some patients may occur secondary loss of response(SLOR)during the maintenance treatment,leading to the recurrence or progression of CD.The current IFX efficacy prediction models for CD have limited applicability to SLOR.Radiomics,as a non-invasive te-chnique,is expected to serve as a more accurate tool for predicting the risk of SLOR.AIM To develop a radiomics-based model via integrative analysis of intestinal wall and creeping fat to predict SLOR in CD.METHODS We retrospectively analyzed clinical and imaging data from 220 CD patients in two centers.Univariate and multivariate analyses were used to screen out clinically independent predictors of SLOR.Radiomics features of the intestinal wall and creeping fat were extracted and fused together for analysis.Univariate and least absolute shrinkage and selection operator analyses were used to select the most valuable radiomics features to calculate Radscore and develop radiomics predictive model.A combined predictive model was developed based on the Radscore and clinically independent predictors through multivariate logistic regression analysis.Area under the receiver operating characteristic curve(AUC),calibration curve and the decision curve analysis were used to verify model performance.RESULTS White blood cell count,disease duration and Harvey-Bradshaw Index were identified as clinically independent predictors of SLOR to develop the clinical model.Fifteen most valuable radiomics features were selected to develop the radiomics model.Compared with the clinical and radiomics models,the combined model achieved the best prediction performance,with AUCs were 0.871(95%CI:0.814-0.929)in the training cohort and 0.854(95%CI:0.759-0.949)in the validation cohort.CONCLUSION The combined model that integrates intestinal wall and creeping fat analysis is valuable for predicting the SLOR of IFX in CD.
文摘目的使用河北省营养项目人群数据,探讨母亲孕期空气颗粒物(PM)暴露对新生儿体格发育状况指标的影响,并评估不同颗粒物暴露的滞后效应以确定敏感时间窗。方法本研究基于河北孕期营养干预项目数据,纳入14148对母婴数据,通过China High Air Pollutants(CHAP)数据库获取1 km×1 km分辨率的月均PM浓度,结合孕妇居住地址和孕周估算孕早期、孕中期、孕晚期及全孕期的PM暴露水平。新生儿体格发育状况指标根据中国标准按照不同孕周和性别标准化为Z评分。采用多元线性回归模型分析不同PM暴露与新生儿体格发育状况指标的关联,并通过分布滞后线性模型评估不同妊娠阶段的滞后效应,明确敏感时间窗。结果全孕期每增加10μg/m 3的PM 2.5、PM 10和PM_(2.5-10)暴露分别使出生体重Z评分下降0.03(95%CI:-0.04,-0.02)、0.03(95%CI:-0.04,-0.02)和0.10(95%CI:-0.12,-0.08);出生身长和头围Z评分亦呈负相关,且PM_(2.5-10)的影响最显著。分布滞后线性模型结果显示,孕早期和孕晚期为新生儿出生体重和身长的关键敏感窗口,出生头围的敏感期主要集中在孕早期。结论孕期PM暴露与新生儿体格发育状况呈显著负相关,PM_(2.5-10)的效应最为突出。孕早期和孕晚期暴露为胎儿体格发育影响的关键窗口期。本研究为空气污染防控政策及孕期健康干预提供了重要的科学依据。
文摘目的分析甲基转移酶3(METTL3)抑制剂STM2457对人肝癌细胞系HepG2的影响,重点研究其对N6-甲基腺苷(m6A)表达的影响及其抗肿瘤机制。方法将HepG2细胞分为实验组(STM2457处理)和对照组(DMSO处理)。利用纳米孔(Nanopore)测序技术,结合m6Anet,NanoCount,xPore和GFOLD方法,分别对m6A修饰水平、转录组表达及差异基因进行分析。通过基因本体(GO)和京都基因与基因组百科(KEGG)对差异基因进行功能富集分析。结果STM2457降低HepG2细胞的m6A修饰位点数量(6446 vs 11549)及修饰水平(0.95±0.03 vs 0.98±0.03),差异具有统计学意义(Z=-19.915,P<0.01)。差异基因分析共筛选出109个上调基因和340个下调基因,其中与肝癌发生发展密切相关的基因PDLIM5、AZGP1和RNASET2,其m6A修饰水平降低,而基因表达水平升高。功能富集分析结果显示,差异基因主要富集在细胞黏附、凋亡、翻译调控及肝细胞癌相关通路。结论STM2457通过抑制METTL3活性,降低HepG2细胞的m6A修饰水平,上调基因PDLIM5,AZGP1和RNASET2的表达,促进HepG2细胞凋亡,为肝癌治疗提供潜在治疗靶点。
