AIM:To investigate the potential role of Active Chinese mistletoe lectin-55 (ACML-55) in tumor immune surveillance. METHODS: In this study, an experimental model was established by hypodermic inoculating the colon can...AIM:To investigate the potential role of Active Chinese mistletoe lectin-55 (ACML-55) in tumor immune surveillance. METHODS: In this study, an experimental model was established by hypodermic inoculating the colon cancer cell line CT26 (5 × 105 cells) into BALB/c mice. The experimental treatment was orally administered with ACML-55 or PBS, followed by the inoculation of colon cancer cell line CT26. Intracellular cytokine staining was used to detect IFN-γ production by tumor antigen specific CD8+ T cells. FACS analysis was employed to profi le composition and activation of CD4+, CD8+, γδ T and NK cells. RESULTS: Our results showed, compared to PBS treated mice, ACML-55 treatment signifi cantly delayed colon cancer development in colon cancer -bearingBalb/c mice in vivo. Treatment with ACML-55 enhanced both Ag specifi c activation and proliferation of CD4+ and CD8+ T cells, and increased the number of tumor Ag specific CD8+ T cells. It was more important to increase the frequency of tumor Ag specific IFN-γ producing-CD8+ T cells. Interestingly, ACML-55 treatment also showed increased cell number of NK, and γδT cells, indicating the role of ACML-55 in activation of innate lymphocytes. CONCLUSION: Our results demonstrate that ACML-55 therapy can enhance function in immune surveillance in colon cancer-bearing mice through regulating both innate and adaptive immune responses.展开更多
Atmospheric CO_(2)is one of key parameters to estimate air-sea CO_(2)flux.The Orbiting Carbon Observatory-2(OCO-2)satellite has observed the column-averaged dry-air mole fractions of global atmospheric carbon dioxide(...Atmospheric CO_(2)is one of key parameters to estimate air-sea CO_(2)flux.The Orbiting Carbon Observatory-2(OCO-2)satellite has observed the column-averaged dry-air mole fractions of global atmospheric carbon dioxide(XCO_(2))since 2014.In this study,the OCO-2 XCO_(2)products were compared between in-situ data from the Total Carbon Column Network(TCCON)and Global Monitoring Division(GMD),and modeling data from CarbonTracker2019 over global ocean and land.Results showed that the OCO-2 XCO_(2)data are consistent with the TCCON and GMD in situ XCO_(2)data,with mean absolute biases of 0.25×10^(-6)and 0.67×10^(-6),respectively.Moreover,the OCO-2 XCO_(2)data are also consistent with the CarbonTracker2019 modeling XCO_(2)data,with mean absolute biases of 0.78×10^(-6)over ocean and 1.02×10^(-6)over land.The results indicated the high accuracy of the OCO-2 XCO_(2)product over global ocean which could be applied to estimate the air-sea CO_(2)flux.展开更多
The publisher regrets<“Relationship between PaO_(2)/FiO_(2) and delirium in intensive care:A cross-sectional study,”[1]published on pages 73-78,Issue 1,Volume 3 in Journal of Intensive Medicine(https://www.scienc...The publisher regrets<“Relationship between PaO_(2)/FiO_(2) and delirium in intensive care:A cross-sectional study,”[1]published on pages 73-78,Issue 1,Volume 3 in Journal of Intensive Medicine(https://www.sciencedirect.com/science/article/pii/S2667100x22000901)contains a mistake in Abstract and text.The sentence in the Methods of Abstract and Statistical analysis“slightly low(200≥PaO_(2)/FiO_(2)<300 mmHg)”should be“slightly low(200≤PaO_(2)/FiO_(2)<300 mmHg)”.展开更多
Background::To investigate the relationship between partial pressure of oxygen(PaO_(2))/fraction of inspired oxygen(FiO_(2))and the probability of delirium in intensive care units(ICUs).Methods::The investigation was ...Background::To investigate the relationship between partial pressure of oxygen(PaO_(2))/fraction of inspired oxygen(FiO_(2))and the probability of delirium in intensive care units(ICUs).Methods::The investigation was a cross-sectional study that involved the collection of data from patients admitted to the Xiang Ya Hospital Cardiothoracic Surgical Care Unit and Comprehensive Intensive Care Unit from 01 September 2016 to 10 December 2016.Delirium was diagnosed using the simplified version of the Chinese Confusion Assessment Method(CAM)for the ICU.Demographic and medical data were obtained within 24 h of each patient admitted in the ICU.The PaO_(2)/FiO_(2) of each patient was recorded 24 h after admission in the ICU.The patients were divided into three groups according to PaO_(2)/FiO_(2) data:normal(PaO_(2)/FiO_(2)≥300 mmHg),slightly low(200≥PaO_(2)/FiO_(2)<300 mmHg),and severely low(PaO_(2)/FiO_(2)<200 mmHg).Baseline characteristics were compared in the three groups.Results of the unadjusted model,minimally adjusted model,and fully adjusted model are presented.Results::A total of 403 participants were included in the study,of which 184(45.7%)developed delirium.Age(P<0.001),Sequential Organ Failure Assessment(SOFA)score(P<0.001),Acute Physiology and Chronic Health Evaluation(APACHE)II score(P<0.001),mechanical ventilation time(P<0.001),history of hypertension(P=0.040),heart disease(P=0.040),sedation(P=0.001),and PaO_(2)/FiO_(2)(P=0.006)were significantly associated with delirium in univariate analysis.Multivariate regression analysis models were used to further analyze the associations between PaO_(2)/FiO_(2) and delirium.In the crude model,for 1 standard deviation(SD)increase in PaO_(2)/FiO_(2),the odds ratio(OR)of delirium was 0.8(95%confidence interval[CI]:0.6-0.9),but there was no significant correlation in the fully adjusted model.There was a non-linear relationship between the PaO_(2)/FiO_(2) and delirium in a generalized additive model.A two-piecewise linear regression model was used to calculate a PaO_(2)/FiO_(2) threshold of 243 mmHg.On the left side of the threshold,the OR was 0.9 and the 95%CI was 0.9-1.0(P=0.013)when PaO_(2)/FiO_(2) increased by 1 SD.Conclusions::PaO_(2)/FiO_(2) was negatively associated with delirium when PaO_(2)/FiO_(2) was below the identified threshold.As a readily available laboratory indicator,PaO_(2)/FiO_(2) has potential value in the clinical evaluation of risk of delirium in ICU patients.展开更多
The cloud cover for the South China Sea andits coastal area is relatively large throughout the year,which limits the potential application of optical remotesensing. A H J-charge-coupled device （HJ-CCD） has theadvant...The cloud cover for the South China Sea andits coastal area is relatively large throughout the year,which limits the potential application of optical remotesensing. A H J-charge-coupled device （HJ-CCD） has theadvantages of wide field, high temporal resolution, andshort repeat cycle. However, this instrument suffers fromits use of only four relatively low-quality bands whichcan＇t adequately resolve the features of long wavelengths.The Landsat Enhanced Thematic Mapper-plus （ETM＋）provides high-quality data, however, the Scan LineCorrector （SLC） stopped working and caused striping ofremote sensed images, which dramatically reduced thecoverage of the ETM＋ data. In order to combine theadvantages of the HJ-CCD and Landsat ETM＋ data, weadopted a back-propagation artificial neural network （BP-ANN） to fuse these two data types for this study. Theresults showed that the fused output data not only have theadvantage of data intactness for the HJ-CCD, but also havethe advantages of the multi-spectral and high radiometricresolution of the ETM＋ data. Moreover, the fused datawere analyzed qualitatively, quantitatively and from apractical application point of view. Experimental studiesindicated that the fused data have a full spatial distribution,multi-spectral bands, high radiometric resolution, a smalldifference between the observed and fused output data, anda high correlation between the observed and fused data.The excellent performance in its practical application is afurther demonstration that the fused data are of highquality.展开更多
基金The National Natural Science Foundation of China,No.30471593 and No. 30670939the Shanghai Leading Academic Discipline Project,No.T0206+1 种基金the Shanghai Commission of Science and Technology,No.07JC14033the Shanghai Institute of Immunology Project,No.07-A02
文摘AIM:To investigate the potential role of Active Chinese mistletoe lectin-55 (ACML-55) in tumor immune surveillance. METHODS: In this study, an experimental model was established by hypodermic inoculating the colon cancer cell line CT26 (5 × 105 cells) into BALB/c mice. The experimental treatment was orally administered with ACML-55 or PBS, followed by the inoculation of colon cancer cell line CT26. Intracellular cytokine staining was used to detect IFN-γ production by tumor antigen specific CD8+ T cells. FACS analysis was employed to profi le composition and activation of CD4+, CD8+, γδ T and NK cells. RESULTS: Our results showed, compared to PBS treated mice, ACML-55 treatment signifi cantly delayed colon cancer development in colon cancer -bearingBalb/c mice in vivo. Treatment with ACML-55 enhanced both Ag specifi c activation and proliferation of CD4+ and CD8+ T cells, and increased the number of tumor Ag specific CD8+ T cells. It was more important to increase the frequency of tumor Ag specific IFN-γ producing-CD8+ T cells. Interestingly, ACML-55 treatment also showed increased cell number of NK, and γδT cells, indicating the role of ACML-55 in activation of innate lymphocytes. CONCLUSION: Our results demonstrate that ACML-55 therapy can enhance function in immune surveillance in colon cancer-bearing mice through regulating both innate and adaptive immune responses.
基金The National Key Research and Development Programme of China under contract No.2017YFA0603004the Fund of Southern Marine Science and Engineering Guangdong Laboratory(Zhanjiang)(Zhanjiang Bay Laboratory)under contract No.ZJW-2019-08+1 种基金the National Natural Science Foundation of China under contract Nos 41825014,41676172 and 41676170the Global Change and Air-Sea Interaction Project of China under contract Nos GASI-02-SCS-YGST2-01,GASI-02-PACYGST2-01 and GASI-02-IND-YGST2-01。
文摘Atmospheric CO_(2)is one of key parameters to estimate air-sea CO_(2)flux.The Orbiting Carbon Observatory-2(OCO-2)satellite has observed the column-averaged dry-air mole fractions of global atmospheric carbon dioxide(XCO_(2))since 2014.In this study,the OCO-2 XCO_(2)products were compared between in-situ data from the Total Carbon Column Network(TCCON)and Global Monitoring Division(GMD),and modeling data from CarbonTracker2019 over global ocean and land.Results showed that the OCO-2 XCO_(2)data are consistent with the TCCON and GMD in situ XCO_(2)data,with mean absolute biases of 0.25×10^(-6)and 0.67×10^(-6),respectively.Moreover,the OCO-2 XCO_(2)data are also consistent with the CarbonTracker2019 modeling XCO_(2)data,with mean absolute biases of 0.78×10^(-6)over ocean and 1.02×10^(-6)over land.The results indicated the high accuracy of the OCO-2 XCO_(2)product over global ocean which could be applied to estimate the air-sea CO_(2)flux.
文摘The publisher regrets<“Relationship between PaO_(2)/FiO_(2) and delirium in intensive care:A cross-sectional study,”[1]published on pages 73-78,Issue 1,Volume 3 in Journal of Intensive Medicine(https://www.sciencedirect.com/science/article/pii/S2667100x22000901)contains a mistake in Abstract and text.The sentence in the Methods of Abstract and Statistical analysis“slightly low(200≥PaO_(2)/FiO_(2)<300 mmHg)”should be“slightly low(200≤PaO_(2)/FiO_(2)<300 mmHg)”.
文摘Background::To investigate the relationship between partial pressure of oxygen(PaO_(2))/fraction of inspired oxygen(FiO_(2))and the probability of delirium in intensive care units(ICUs).Methods::The investigation was a cross-sectional study that involved the collection of data from patients admitted to the Xiang Ya Hospital Cardiothoracic Surgical Care Unit and Comprehensive Intensive Care Unit from 01 September 2016 to 10 December 2016.Delirium was diagnosed using the simplified version of the Chinese Confusion Assessment Method(CAM)for the ICU.Demographic and medical data were obtained within 24 h of each patient admitted in the ICU.The PaO_(2)/FiO_(2) of each patient was recorded 24 h after admission in the ICU.The patients were divided into three groups according to PaO_(2)/FiO_(2) data:normal(PaO_(2)/FiO_(2)≥300 mmHg),slightly low(200≥PaO_(2)/FiO_(2)<300 mmHg),and severely low(PaO_(2)/FiO_(2)<200 mmHg).Baseline characteristics were compared in the three groups.Results of the unadjusted model,minimally adjusted model,and fully adjusted model are presented.Results::A total of 403 participants were included in the study,of which 184(45.7%)developed delirium.Age(P<0.001),Sequential Organ Failure Assessment(SOFA)score(P<0.001),Acute Physiology and Chronic Health Evaluation(APACHE)II score(P<0.001),mechanical ventilation time(P<0.001),history of hypertension(P=0.040),heart disease(P=0.040),sedation(P=0.001),and PaO_(2)/FiO_(2)(P=0.006)were significantly associated with delirium in univariate analysis.Multivariate regression analysis models were used to further analyze the associations between PaO_(2)/FiO_(2) and delirium.In the crude model,for 1 standard deviation(SD)increase in PaO_(2)/FiO_(2),the odds ratio(OR)of delirium was 0.8(95%confidence interval[CI]:0.6-0.9),but there was no significant correlation in the fully adjusted model.There was a non-linear relationship between the PaO_(2)/FiO_(2) and delirium in a generalized additive model.A two-piecewise linear regression model was used to calculate a PaO_(2)/FiO_(2) threshold of 243 mmHg.On the left side of the threshold,the OR was 0.9 and the 95%CI was 0.9-1.0(P=0.013)when PaO_(2)/FiO_(2) increased by 1 SD.Conclusions::PaO_(2)/FiO_(2) was negatively associated with delirium when PaO_(2)/FiO_(2) was below the identified threshold.As a readily available laboratory indicator,PaO_(2)/FiO_(2) has potential value in the clinical evaluation of risk of delirium in ICU patients.
文摘The cloud cover for the South China Sea andits coastal area is relatively large throughout the year,which limits the potential application of optical remotesensing. A H J-charge-coupled device （HJ-CCD） has theadvantages of wide field, high temporal resolution, andshort repeat cycle. However, this instrument suffers fromits use of only four relatively low-quality bands whichcan＇t adequately resolve the features of long wavelengths.The Landsat Enhanced Thematic Mapper-plus （ETM＋）provides high-quality data, however, the Scan LineCorrector （SLC） stopped working and caused striping ofremote sensed images, which dramatically reduced thecoverage of the ETM＋ data. In order to combine theadvantages of the HJ-CCD and Landsat ETM＋ data, weadopted a back-propagation artificial neural network （BP-ANN） to fuse these two data types for this study. Theresults showed that the fused output data not only have theadvantage of data intactness for the HJ-CCD, but also havethe advantages of the multi-spectral and high radiometricresolution of the ETM＋ data. Moreover, the fused datawere analyzed qualitatively, quantitatively and from apractical application point of view. Experimental studiesindicated that the fused data have a full spatial distribution,multi-spectral bands, high radiometric resolution, a smalldifference between the observed and fused output data, anda high correlation between the observed and fused data.The excellent performance in its practical application is afurther demonstration that the fused data are of highquality.
