Eucommiae Folium(EF),a traditional Chinese medicine,has been used to treat secondary hypertension,including renal hypertension and salt-sensitive hypertension,as well as hypertension caused by thoracic aortic endothelial dysfunction,a high-fat diet,and oxidized low-density lipoprotein.The antihyperten-sive components of EF are divided into four categories:flavonoids,iridoids,lignans,and phenyl-propanoids,such as chlorogenic acid,geniposide acid and pinoresinol diglucoside.EF regulates the occurrence and development of hypertension by regulating biological processes,such as inhibiting inflammation,regulating the nitric oxide synthase pathway,reducing oxidative stress levels,regulating endothelial vasoactive factors,and lowering blood pressure.However,its molecular antihypertensive mechanisms are still unclear and require further investigation.In this review,by consulting the relevant literature on the antihypertensive effects of EF and using network pharmacology,we summarized the active ingredients and pharmacological mechanisms of EF in the treatment of hypertension to clarify how EF is associated with secondary hypertension,the related components,and underlying mechanisms.The results of the network pharmacology analysis indicated that EF treats hypertension through a multi-component,multi-target and multi-pathway mechanism.In particular,we discussed the role of EF tar-gets in the treatment of hypertension,including epithelial sodium channel,heat shock protein70,rho-associated protein kinase 1,catalase,and superoxide dismutase.The relevant signal transduction path-ways,the ras homolog family member A(RhoA)/Rho-associated protein kinase(ROCK)and nicotinamide adenine dinucleotide phosphate(NADPH)oxidase/eNOS/NO/Ca2+pathways,are also discussed.

Ulcerative colitis(UC)is characterized by chronic relapsing intestinal inflammation.Currently,there is no effective treatment for the disease.According to our preliminary data,1,8-cineole,which is the main active compound of Amomum compactum Sol.ex Maton volatile oil and an effective drug for the treat-ment of pneumonia,showed remarkable anti-inflammatory effects on colitis pathogenesis.However,its mechanism of action and direct targets remain unclear.This study investigated the direct targets and mechanism through which 1,8-cineole exerts its anti-inflammatory effects using a dextran sulfate so-dium salt-induced colitis mouse model.The effects of 1,8-cineole on macrophage polarization were investigated using activated bone marrow-derived macrophages and RAW264.7 cells.In addition,1,8-cineole targets were revealed by drug affinity responsive target stability,thermal shift assay,cellular thermal shift assay,and heat shock protein 90(HSP90)adenosine triphosphatases(ATPase)activity assays.The results showed that 1,8-cineole exhibited powerful anti-inflammatory properties in vitro and in vivo by inhibiting the macrophage M1 polarization and protecting intestinal barrier function.Mech-anistically,1,8-cineole directly interacted with HSP90 and decreased its ATPase activity,also inhibited nucleotide-binding and oligomerization domain-,leucine rich repeat-,and pyrin domain-containing 3(NLRP3)binding to HSP90 and suppressor of G-two allele of SKP1(SGT1)and suppressed NLRP3 inflammasome activation in macrophages.These results demonstrated that 1,8-cineole is a potential drug candidate for UC treatment.

Objective The diagnosis of nasal fractures poses challenges in forensic clinical evaluation.This study aims to develop and enhance an artificial intelligence-based model for nasal fracture recognition,evaluate its performance,and provide assistance and support for forensic clinical identification.Methods Multi-center nasal CT images were selected and screened according to the consensus standards set by Chinese experts in nasal CT examination and diagnosis.A recognition model was constructed,followed by external verification and evaluation.Additionally,the diagnostic capabilities of qualified appraisers/doctors with different professional titles(primary,intermediate,and senior)were compared with the performance of the intelligent recognition model.The accuracy,sensitivity,specificity),and negative predictive value(NP)of the intelligent recognition model were comprehensively evaluated.Results The intelligent recognition model exhibited high diagnostic efficiency and stability.It improved the diagnostic accuracy of radiologists and appraisers in detecting nasal fractures while effectively bridging the gap between inexperienced doctors/appraisers and experienced ones.Conclusion The intelligent recognition model for nasal fractures can assist appraisers in enhancing their ability to locate such fractures on CT images and improve work efficiency while enhancing appraisal opinions'accuracy and scientificity.