Objective To analyze the spatial distribution patterns and influencing factors of potential suitable habitats for Saussurea medusa under current climatic conditions.Methods The maximum entropy(MaxEnt)model with 125 selected distribution spots data and 9 environmental factors data of Saussurea medusa as input variables for modeling.Quantitative analysis was conducted on the influencing factors of spatial differentiation in the suitable habitat area of Saussurea medusa using geographic detector factor detection and interaction detection tools.Based on land use type data and national nature reserve distribution data,the distribution range of each land use type in the suitable habitat areas for Saussurea medusa,as well as the distribution pattern of high,medium and low suitable habitat areas in national nature reserves were refined.Results Key environmental determinants included elevation,precipitation in the warmest quarter,and solar radiation in April and May.The total potential suitable habitat area spanned 1.33×106 km2,accounting for 13.89%of China's mainland.Grasslands(67.70%),forests(19.19%),barren land(5.90%),snow-covered areas(2.59%)and croplands(2.08%)dominated the suitable habitats,with 34.98%overlapping national nature reserves.Conclusion The results of this study can provide basis for understanding the ecological needs and resource conservation of Saussurea medusa.

Objective:To investigate causal relationship between intestinal flora and risk of developing ankylosing spondylitis(AS)by a two-sample Mendelian randomization(MR)analysis.Methods:Genome-wide association study(GWAS)data on 211 types of intestinal flora and AS were obtained,and single nucleotide polymorphism(SNP)was used as an instrumental variable and sensi-tive SNPs were selected for analysis.Two-sample MR analyses were performed by inverse variance weighted(IVW)as well as MR-Eg-ger,Weighted median,to assess causal relationship between AS and intestinal flora by OR,and results were tested for heterogeneity and pleiotropy.Results:IVW analysis showed a significant causal relationship between 11 intestinal flora and AS risk.Among them,Verrucomicrobiae,Verrucomicrobiales,Verrucomicrobiaceae,Akkermansia,Erysipelatoclostridium,Holdermannia,Holdemania,Bacillales and Verrucomicrobia had positive causal effect on AS risk,while Dialister,Howardella and Oscillospira had negative causal effect.Causal effect estimates obtained by different methods(MR-Egger,Weighted median)were consistent,and sensitivity tests did not reveal significant horizontal pleiotropy and heterogeneity.Conclusion:Intestinal flora plays an important role in pathogenesis of AS,while specific mechanism remains to be further investigated.

Objective To investigate the geographical distribution patterns and influencing factors of suitable habitats for the desert medicinal plant Cynomorium songaricum Rupr under current climatic conditions;To provide a basis for its resource conservation and sustainable utilization.Methods The MaxEnt model was used to analyze potential suitable habitats for Cynomorium songaricum Rupr.Geographical Detector model was used to identify key environmental factors affecting habitat suitability.Surface cover data were overlaid to assess the distribution of sandy and Gobi regions within suitable habitats,enabling a quantitative evaluation of actual potential suitable areas.Results Model predictions indicated a total suitable habitat area of approximately 2.98×106 km2,representing 30.99%of China's mainland area.Highly suitable habitats are concentrated in desert and Gobi regions of Gansu,Xinjiang,Inner Mongolia,Qinghai and Ningxia.Among climatic factors,precipitation of the coldest quarter(bio19),solar radiation in August(srad8),and mean temperature of the coldest quarter(bio11)significantly influence Cynomorium songaricum Rupr distribution.The interaction between temperature and solar radiation intensity exhibited the highest explanatory power for habitat distribution patterns(q=0.82).Overlay analysis with surface cover data estimated the actual potential suitable area at approximately 9.70×105 km2,with sandy regions comprising 5.73×105 km2 and Gobi regions 3.98×105 km2.Conclusion By integrating multi-source data and modeling approaches,this study delineates the potential suitable habitats for Cynomorium songaricum Rupr across China and evaluates the spatial distribution characteristics and influencing factors of suitable habitats in Cynomorium songaricum Rupr.These findings offer a foundation for conserving wild Cynomorium songaricum Rupr resources,optimizing ecological planting regions,and promoting sustainable industry development.

Objective To analyze the spatial distribution pattern of the potential suitable habitats for the Tibetan medicinal plant Sinopodophyllum hexandrum under current climatic conditions and the factors influencing the spatial differentiation of the habitats.Methods Based on the maximum entropy model,a species distribution model was established using selected species distribution data and environmental variable data.The geographic detector and the interaction detector were applied to quantify the factors affecting the spatial differentiation of the suitable area.By overlaying the suitable area with land cover types,the distribution characteristics of potential arable land and forest land within the potential suitable area were quantified.Results Under the current climatic conditions,altitude,precipitation in July,precipitation during the warmest season,water vapor pressure in June,precipitation in December,and the highest temperature in February are the key environmental factors affecting the distribution of Sinopodophyllum hexandrum.Under the current climatic conditions,the potential geographical distribution range of Sinopodophyllum hexandrum covers an area of 1.30×106 km2.Considering land cover types,the actual suitable area for Sinopodophyllum hexandrum is 6.13×105 km2,including 4.25×105 km2 of forest land and 1.88×105 km2 of arable land.The highly suitable forest areas are mainly distributed in the Aba Tibetan and Qiang Autonomous Prefecture,Ganzi Tibetan Autonomous Prefecture of Sichuan Province,Diqing Tibetan Autonomous Prefecture,Nujiang Lisu Autonomous Prefecture of Yunnan Province and Linzhi City within the Tibet Autonomous Region.The highly suitable arable land areas are mainly distributed in the Linxia Hui Autonomous Prefecture,Dingxi City,Tianshui City,and Longnan City of Gansu Province,with sporadic belt-like distributions in Sichuan Province,Yunnan Province and the Tibet Autonomous Region.Conclusion The study can provide evidence for the protection of wild Sinopodophyllum hexandrum resources and the selection of optimal planting areas.

Objective To analyze the spatial distribution pattern of the potential suitable habitats for the Tibetan medicinal plant Sinopodophyllum hexandrum under current climatic conditions and the factors influencing the spatial differentiation of the habitats.Methods Based on the maximum entropy model,a species distribution model was established using selected species distribution data and environmental variable data.The geographic detector and the interaction detector were applied to quantify the factors affecting the spatial differentiation of the suitable area.By overlaying the suitable area with land cover types,the distribution characteristics of potential arable land and forest land within the potential suitable area were quantified.Results Under the current climatic conditions,altitude,precipitation in July,precipitation during the warmest season,water vapor pressure in June,precipitation in December,and the highest temperature in February are the key environmental factors affecting the distribution of Sinopodophyllum hexandrum.Under the current climatic conditions,the potential geographical distribution range of Sinopodophyllum hexandrum covers an area of 1.30×106 km2.Considering land cover types,the actual suitable area for Sinopodophyllum hexandrum is 6.13×105 km2,including 4.25×105 km2 of forest land and 1.88×105 km2 of arable land.The highly suitable forest areas are mainly distributed in the Aba Tibetan and Qiang Autonomous Prefecture,Ganzi Tibetan Autonomous Prefecture of Sichuan Province,Diqing Tibetan Autonomous Prefecture,Nujiang Lisu Autonomous Prefecture of Yunnan Province and Linzhi City within the Tibet Autonomous Region.The highly suitable arable land areas are mainly distributed in the Linxia Hui Autonomous Prefecture,Dingxi City,Tianshui City,and Longnan City of Gansu Province,with sporadic belt-like distributions in Sichuan Province,Yunnan Province and the Tibet Autonomous Region.Conclusion The study can provide evidence for the protection of wild Sinopodophyllum hexandrum resources and the selection of optimal planting areas.

The paper introduces the experience of Professor LI Rui in treatment of diseases with bloodletting therapy. Regarding acupoint selection, the main acupoints are selected from the meridians containing excessive blood based on the identification of pathogenesis, and the back-shu points of the foot-taiyang bladder meridian are predominant. The acupoints (e.g. Geshu [BL17], Xuehai [SP10] and Weizhong [BL40]) acting on blood regulations are frequently selected, and the acupoints from the governor vessel (e.g. Dazhui [GV14], Zhiyang [GV9] and Yaoyangguan [GV3]) are specially used for regulating yang qi. Besides, the five-shu points and local points are combined in the prescriptions. This paper expounds the connotation of bloodletting therapy, explores the basis of acupoint selection and clinical application characteristics, and analyzes the clinical cases, so as to provide the approaches to acupoint selection for the clinical application of bloodletting therapy.
Humans ; Acupuncture Points ; Acupuncture Therapy ; Bloodletting ; Meridians

Objective To analyze the spatial distribution patterns and influencing factors of potential suitable habitats for Saussurea medusa under current climatic conditions.Methods The maximum entropy(MaxEnt)model with 125 selected distribution spots data and 9 environmental factors data of Saussurea medusa as input variables for modeling.Quantitative analysis was conducted on the influencing factors of spatial differentiation in the suitable habitat area of Saussurea medusa using geographic detector factor detection and interaction detection tools.Based on land use type data and national nature reserve distribution data,the distribution range of each land use type in the suitable habitat areas for Saussurea medusa,as well as the distribution pattern of high,medium and low suitable habitat areas in national nature reserves were refined.Results Key environmental determinants included elevation,precipitation in the warmest quarter,and solar radiation in April and May.The total potential suitable habitat area spanned 1.33×106 km2,accounting for 13.89%of China's mainland.Grasslands(67.70%),forests(19.19%),barren land(5.90%),snow-covered areas(2.59%)and croplands(2.08%)dominated the suitable habitats,with 34.98%overlapping national nature reserves.Conclusion The results of this study can provide basis for understanding the ecological needs and resource conservation of Saussurea medusa.

Objective To investigate the geographical distribution patterns and influencing factors of suitable habitats for the desert medicinal plant Cynomorium songaricum Rupr under current climatic conditions;To provide a basis for its resource conservation and sustainable utilization.Methods The MaxEnt model was used to analyze potential suitable habitats for Cynomorium songaricum Rupr.Geographical Detector model was used to identify key environmental factors affecting habitat suitability.Surface cover data were overlaid to assess the distribution of sandy and Gobi regions within suitable habitats,enabling a quantitative evaluation of actual potential suitable areas.Results Model predictions indicated a total suitable habitat area of approximately 2.98×106 km2,representing 30.99%of China's mainland area.Highly suitable habitats are concentrated in desert and Gobi regions of Gansu,Xinjiang,Inner Mongolia,Qinghai and Ningxia.Among climatic factors,precipitation of the coldest quarter(bio19),solar radiation in August(srad8),and mean temperature of the coldest quarter(bio11)significantly influence Cynomorium songaricum Rupr distribution.The interaction between temperature and solar radiation intensity exhibited the highest explanatory power for habitat distribution patterns(q=0.82).Overlay analysis with surface cover data estimated the actual potential suitable area at approximately 9.70×105 km2,with sandy regions comprising 5.73×105 km2 and Gobi regions 3.98×105 km2.Conclusion By integrating multi-source data and modeling approaches,this study delineates the potential suitable habitats for Cynomorium songaricum Rupr across China and evaluates the spatial distribution characteristics and influencing factors of suitable habitats in Cynomorium songaricum Rupr.These findings offer a foundation for conserving wild Cynomorium songaricum Rupr resources,optimizing ecological planting regions,and promoting sustainable industry development.

Objective:To investigate causal relationship between intestinal flora and risk of developing ankylosing spondylitis(AS)by a two-sample Mendelian randomization(MR)analysis.Methods:Genome-wide association study(GWAS)data on 211 types of intestinal flora and AS were obtained,and single nucleotide polymorphism(SNP)was used as an instrumental variable and sensi-tive SNPs were selected for analysis.Two-sample MR analyses were performed by inverse variance weighted(IVW)as well as MR-Eg-ger,Weighted median,to assess causal relationship between AS and intestinal flora by OR,and results were tested for heterogeneity and pleiotropy.Results:IVW analysis showed a significant causal relationship between 11 intestinal flora and AS risk.Among them,Verrucomicrobiae,Verrucomicrobiales,Verrucomicrobiaceae,Akkermansia,Erysipelatoclostridium,Holdermannia,Holdemania,Bacillales and Verrucomicrobia had positive causal effect on AS risk,while Dialister,Howardella and Oscillospira had negative causal effect.Causal effect estimates obtained by different methods(MR-Egger,Weighted median)were consistent,and sensitivity tests did not reveal significant horizontal pleiotropy and heterogeneity.Conclusion:Intestinal flora plays an important role in pathogenesis of AS,while specific mechanism remains to be further investigated.

ObjectiveTo explore whether miR-375 regulates the malignant characteristics of osteosarcoma (OS) by influencing the expression of MMP13. MethodsPlasmid DNAs and miRNAs were transfected into OS cells and HEK293 cells using Lipofectamine 3000 reagent. Real-time quantitative polymerase chain reaction was performed to measure the expression of miR-375 and MMP13 in OS patients and OS cells. Western blot was performed to analyze the MMP13 protein in the patients with OS and OS cells. The targeting relationship between miR-375 and MMP13 was analyzed by luciferase assay. Migration and invasion were analysed by heal wound and transwell assays, respectively. ResultsmiR-375 expression in OS tissues was lower than that in normal tissues. The expression of MMP13 was upregulated in OS tissues. MMP13 expression was negatively correlated withmiR-375 expression in patients with OS. Migration and invasion were significantly inhibited in OS cells with the miR-375 mimic compared with OS cells with the miRNA control. MMP13 partially reversed the inhibition of migration and invasion induced by miR-375 in the OS cells. ConclusionmiR-375 attenuates migration and invasion by downregulating the expression of MMP13 in OS cells.