| 1 | Hupo powder promotes autophagy of menstrual blood-derived stem cells from patients with endometriosis显示文摘Objective:To explore the effect of Hupo powder(HP)on autophagy in menstrual blood-derived stem cells(MenSCs)with endometriosis(EMT).Methods:EMT MenSCs(E-MenSCs)and healthy MenSCs(H-MenSCs)were isolated from the menstrual blood of patients with EMT and healthy female participants,respectively.We identified their stem cells’characteristics via adipogenic and osteogenic differentiation.Twelve male SpragueeDawley rats received 0.9% NaCl and HP-dispensing granules by gastric irrigation to prepare blank serum and medicated serum,respectively.We used serum concentrations of 5%,10%,and 20%,each at administered times of 12,24,and 48 h to select the best condition.These cells were divided into three groups:blank serum of the control group,blank serum of the model group,and medicated serum of the HP group.H-MenSCs were used in the control group,while E-MenSCs were used in the model and HP groups.We analyzed cell viability using a cell counting kit-8 assay,observed cell morphology,evaluated the amounts of auto-phagosomes and autolysosomes by transmission electron microscopy,and detected the protein expression of autophagy markers(LC3-II and Beclin1)by Western blot.Results:E-MenSCs and H-MenSCs became long fusiform with a diffuse radial pattern,forming lipid droplets and calcium nodules after adipogenic and osteogenic differentiation.We then used the best conditiond 20% serum and 48 hdfor the subsequent experiments.In contrast to the model group,the HP group exhibited lower cell viability(=0.007),larger amounts of autophagosomes and autolysosomes(P<0.001 and P=0.001,respectively),and higher expression of LC3-II and Beclin1(P=0.021 and P=0.019,respectively).Conclusion:Hupo powder can promote autophagy in E-MenSCs,which might be one of the mechanisms underlying its therapeutic effects. | Yuejian Zhang Changxiang Li Conglu Sui Xiuping Zhang Ya'nan Guo Tiantian He Taoxiu Lin Xiaona Ma | 2023 | Journal of Traditional Chinese Medical Sciences2023,10,2: | 1 |
| 2 | Impact of climate change on dengue fever epidemics in South and Southeast Asian settings:A modelling study显示文摘The potential for dengue fever epidemic due to climate change remains uncertain in tropical areas.This study aims to assess the impact of climate change on dengue fever transmission in four South and Southeast Asian settings.We collected weekly data of dengue fever incidence,daily mean temperature and rainfall from 2012 to 2020 in Singapore,Colombo,Selangor,and Chiang Mai.Projections for temperature and rainfall were drawn for three Shared Socioeconomic Pathways(SSP126,SSP245,and SSP585)scenarios.Using a disease transmission model,we projected the dengue fever epidemics until 2090s and determined the changes in annual peak incidence,peak time,epidemic size,and outbreak duration.A total of 684,639 dengue fever cases were reported in the four locations between 2012 and 2020.The projected change in dengue fever transmission would be most significant under the SSP585 scenario.In comparison to the 2030s,the peak incidence would rise by 1.29 times in Singapore,2.25 times in Colombo,1.36 times in Selangor,and>10 times in Chiang Mai in the 2090s under SSP585.Additionally,the peak time was projected to be earlier in Singapore,Colombo,and Selangor,but be later in Chiang Mai under the SSP585 scenario.Even in a milder emission scenario of SSP126,the epidemic size was projected to increase by 5.94%,10.81%,12.95%,and 69.60%from the 2030se2090s in Singapore,Colombo,Selangor,and Chiang Mai,respectively.The outbreak durations in the four settings were projected to be prolonged over this century under SSP126 and SSP245,while a slight decrease is expected in 2090s under SSP585.The results indicate that climate change is expected to increase the risk of dengue fever transmission in tropical areas of South and Southeast Asia.Limiting greenhouse gas emissions could be crucial in reducing the transmission of dengue fever in the future. | Yawen Wang Shi Zhao Yuchen Wei Kehang Li Xiaoting Jiang Conglu Li Chao Ren Shi Yin Janice Ho Jinjun Ran Lefei Han Benny Chung-ying Zee Ka Chun Chong | 2023 | Infectious Disease Modelling2023,8,3: | 0 |