1.Effect of aconite decoction on the activity and polarization of mouse RAW264.7 macrophages
Mingcong SHAO ; Hubo CHEN ; Yidan ZHANG ; Ziyan LI ; Lina WANG
Journal of Pharmaceutical Practice and Service 2025;43(7):329-334
Objective To investigate the effects of Aconite decoction (AD) on the viability and polarization of murine RAW264.7 macrophages induced by lipopolysaccharide (LPS) or interleukin-4 (IL-4). Methods Cytotoxicity of AD was assessed by the CCK-8 assay. RAW264.7 cells were polarized toward M1 phenotype by LPS or M2 phenotype by IL-4, followed by treatment with varying concentrations of AD. Macrophage polarization was analyzed by flow cytometry. Quantitative PCR was performed to measure mRNA expression of polarization-associated markers (IL-6, iNOS, Arg1, and Ym1). ELISA was used to quantify secreted cytokines (TNF-α and IL-10)in the supernatant. Results At non-toxic concentrations, IL-6 and iNOS mRNA levels in LPS-stimulated cells were significantly upregulated while Arg1 and Ym1 expression in IL-4-treated groups were downregulated by AD. Concurrently, TNF-α secretion in LPS-induced M1 polarization was enhanced but IL-10 production in IL-4-induced M2 polarization was suppressed by AD. Conclusion AD could promote macrophage proliferation and viability, augments LPS-driven M1 polarization, and inhibit IL-4-mediated M2 polarization, which provided experimental evidence for the potential application of AD in tumor immunotherapy.
2.Expert consensus on diagnosis and treatment of intra-abdominal candidiasis in critically ill patients (2025 edition).
Care CRITICAL CARE MEDICINE COMMITTEE OF CHINA INTERNATIONAL EXCHANGE AND PROMOTIVE ASSOCIATION FOR MEDICAL AND HEALTH ; Association HOSPITAL PHARMACY COMMITTEE OF CHINA PHARMACEUTICAL
Chinese Critical Care Medicine 2025;37(7):605-619
Extracorporeal membrane oxygenation (ECMO) technology is an important life support method for critically ill patients. A large number of studies have found that ECMO can change the pharmacokinetic (PK) parameters of critically ill patients, thereby affecting the drug effect in vivo. However, there is still a lack of recommendations for the adjustment of commonly used drugs during ECMO support in China, and the selection or dosage adjustment of drugs during ECMO support is not clear. Therefore, a multidisciplinary group of domestic experts in clinical pharmacy and critical care medicine was established by Critical Care Medicine Committee of China International Exchange and Promotive Association for Medical and Health Care, and Hospital Pharmacy Committee of China Pharmaceutical Association, to develop the Expert consensus on drug adjustment during extracorporeal membrane oxygenation support (2025). Eight clinical issues of drug adjustment during ECMO support were discussed in this consensus: (1) Why does the patient's demand for drug dosage change during ECMO support? (2) What factors are related to the degree of drug loss during ECMO support? (3) Considering the features of drugs, which types of drugs may need to be adjusted during ECMO support? (4) How to adjust the dosage when using antibacterial drugs during ECMO support? (5) How to adjust antifungal drugs during ECMO support? (6) Does ECMO support change patients' dosage requirements for antiviral drugs? (7) How to adjust sedative and analgesic drugs during ECMO support? (8) Does ECMO support affect the dosage requirement of vasoactive agents? Eighteen consensus are elaborated based on the latest clinical evidence, aiming to provide recommendations for drug adjustment in critically ill patients receiving ECMO support to ensure the safety and effectiveness of medication.
Humans
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Critical Illness
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Extracorporeal Membrane Oxygenation
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Consensus
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Candidiasis/drug therapy*
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Intraabdominal Infections/therapy*
3.The Spatial Differences and Dynamic Evolution of China's Healthcare Service Efficiency from 2012 to 2021
Sha-Sha SONG ; Lina SHAO ; Zhonghua SUO ; Jing WU ; Ying LANG
Chinese Health Economics 2024;43(9):70-74,96
Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.
4.Research progress of glycogen synthesis kinase-3β in the development of diabetic nephropathy
Xuanfeng SUN ; Huixia CAO ; Xiaojing JIAO ; Lina ZHANG ; Lei YAN ; Fengmin SHAO
Journal of Xinxiang Medical College 2024;41(1):77-81
Diabetic nephropathy(DN)is one of the most important complications of diabetes.Its pathogenesis is com-plex and has not been fully elucidated.Epithelial-mesenchymal transition(EMT)plays an important role in the development of DN.Relevant data show that glycogen synthesis kinase-3β(GSK-3β)participates in the process of EMT through multiple sig-naling pathways and affects the occurrence and progression of DN.This article reviews the research progress of GSK-3β in-volved in EMT in DN.
5.The Spatial Differences and Dynamic Evolution of China's Healthcare Service Efficiency from 2012 to 2021
Sha-Sha SONG ; Lina SHAO ; Zhonghua SUO ; Jing WU ; Ying LANG
Chinese Health Economics 2024;43(9):70-74,96
Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.
6.The Spatial Differences and Dynamic Evolution of China's Healthcare Service Efficiency from 2012 to 2021
Sha-Sha SONG ; Lina SHAO ; Zhonghua SUO ; Jing WU ; Ying LANG
Chinese Health Economics 2024;43(9):70-74,96
Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.
7.The Spatial Differences and Dynamic Evolution of China's Healthcare Service Efficiency from 2012 to 2021
Sha-Sha SONG ; Lina SHAO ; Zhonghua SUO ; Jing WU ; Ying LANG
Chinese Health Economics 2024;43(9):70-74,96
Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.
8.The Spatial Differences and Dynamic Evolution of China's Healthcare Service Efficiency from 2012 to 2021
Sha-Sha SONG ; Lina SHAO ; Zhonghua SUO ; Jing WU ; Ying LANG
Chinese Health Economics 2024;43(9):70-74,96
Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.
9.The Spatial Differences and Dynamic Evolution of China's Healthcare Service Efficiency from 2012 to 2021
Sha-Sha SONG ; Lina SHAO ; Zhonghua SUO ; Jing WU ; Ying LANG
Chinese Health Economics 2024;43(9):70-74,96
Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.
10.The Spatial Differences and Dynamic Evolution of China's Healthcare Service Efficiency from 2012 to 2021
Sha-Sha SONG ; Lina SHAO ; Zhonghua SUO ; Jing WU ; Ying LANG
Chinese Health Economics 2024;43(9):70-74,96
Objective:To study the longitudinal trends and spatial clustering characteristics of healthcare service efficiency in China and in North,Northeast,East,Central,South,Southwest,and Northwest China.Methods:The Malmquist index model is used to measure China's healthcare service efficiency from 2012 to 2021,the Dagum Gini coefficient as well as the decomposition method are used to measure the magnitude and source of regional gaps in healthcare service efficiency,and the Kernel density estimation is used to study the longitudinal trend of change and spatial agglomeration characteristics of China's healthcare service efficiency.Results:China's overall healthcare service efficiency is growing,and the inter-regional gap is gradually narrowing,characterized by a concentration trend;the gap in the level of healthcare service efficiency between regions did not widen during the period under examination,but it was found that the gap within some regions was still significant.Conclusion:The national health service efficiency is growing slightly,and the regional gap is generally decreasing,but the Gini coefficient shows that the inter-regional contribution is still the main source of the gap.National health service efficiency is generally concentrated,but some regions are less efficient,with significant internal disparities.

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