Naturally occurring compounds have widely been applied to treat diverse pharmacological effects, including asthma, allergic diseases, antioxidants, inflammation, antibiotics, and cancer. Recent research has revealed the essential role of the thymic stromal lymphopoietin (TSLP) in regulating inflammatory responses at mucosal barriers and maintaining immune homeostasis. Asthma, inflammation, and chronic obstructive pulmonary disease are allergic disorders in which TSLP plays a significant role. Although TSLP’s role in type 2 immune responses has undergone comprehensive investigation, its involvement in inflammatory diseases and cancer has also been found to be expanding. However, investigating how to block the TSLP pathway using natural products has been limited. This paper summarizes the roles of various medicinal plants and their chemical components that effectively inhibit the TSLP pathway. In addition, we also highlight the contributions of several plant-derived compounds to treat allergic diseases via targeting TSLP. This review intends to offer innovative concepts to scientists investigating the use of naturally produced compounds and extracts for the treatment of allergic illnesses.

Naturally occurring compounds have widely been applied to treat diverse pharmacological effects, including asthma, allergic diseases, antioxidants, inflammation, antibiotics, and cancer. Recent research has revealed the essential role of the thymic stromal lymphopoietin (TSLP) in regulating inflammatory responses at mucosal barriers and maintaining immune homeostasis. Asthma, inflammation, and chronic obstructive pulmonary disease are allergic disorders in which TSLP plays a significant role. Although TSLP’s role in type 2 immune responses has undergone comprehensive investigation, its involvement in inflammatory diseases and cancer has also been found to be expanding. However, investigating how to block the TSLP pathway using natural products has been limited. This paper summarizes the roles of various medicinal plants and their chemical components that effectively inhibit the TSLP pathway. In addition, we also highlight the contributions of several plant-derived compounds to treat allergic diseases via targeting TSLP. This review intends to offer innovative concepts to scientists investigating the use of naturally produced compounds and extracts for the treatment of allergic illnesses.

Naturally occurring compounds have widely been applied to treat diverse pharmacological effects, including asthma, allergic diseases, antioxidants, inflammation, antibiotics, and cancer. Recent research has revealed the essential role of the thymic stromal lymphopoietin (TSLP) in regulating inflammatory responses at mucosal barriers and maintaining immune homeostasis. Asthma, inflammation, and chronic obstructive pulmonary disease are allergic disorders in which TSLP plays a significant role. Although TSLP’s role in type 2 immune responses has undergone comprehensive investigation, its involvement in inflammatory diseases and cancer has also been found to be expanding. However, investigating how to block the TSLP pathway using natural products has been limited. This paper summarizes the roles of various medicinal plants and their chemical components that effectively inhibit the TSLP pathway. In addition, we also highlight the contributions of several plant-derived compounds to treat allergic diseases via targeting TSLP. This review intends to offer innovative concepts to scientists investigating the use of naturally produced compounds and extracts for the treatment of allergic illnesses.

Ethanol (EtOH) is a common trigger for gastric mucosal diseases, and mitigating oxidative stress is essential for attenuating gastric mucosal damage. Capsaicin (CAP) has been identified as a potential agent to counteract oxidative damage in the gastric mucosa; however, its precise mechanism remains unclear. This study demonstrates that CAP alleviates EtOH-induced gastric mucosal injuries through two primary pathways: by suppressing the chemokine receptor 4 (CCR4)/Src/p47phox axis, thereby reducing oxidative stress, and by inhibiting the phosphorylation and nuclear translocation of nuclear factor-κB p65 (NF-κB) p65, resulting in diminished inflammatory responses. These findings elucidate the mechanistic pathways of CAP and provide a theoretical foundation for its potential therapeutic application in the treatment of gastric mucosal injuries.
Ethanol/toxicity* ; Animals ; Gastric Mucosa/metabolism* ; Signal Transduction/drug effects* ; Oxidative Stress/drug effects* ; Capsaicin/pharmacology* ; Male ; NADPH Oxidases/genetics* ; Mice ; Humans ; src-Family Kinases/genetics*

AIM To analyze the component composition of Xeriga-4 Powder,and to determine the contents of phellodendrine,chlorogenic acid,gardenoside,berberine,rutin and curcumin.METHODS The high performance liquid chromatography-Q-exactive orbitrap mass spectrometry(HPLC-Q-Exactive-MS)qualitative analysis was performed on a 35℃thermostatic Agilent ZORBAX SB-Aq column(4.6 mm×150 mm,5 μm),with the mobile phase comprising of methanol-0.1%formic acid flowing at 0.35 mL/min in a gradient elution manner,and electron spray ionization source was adopted in positive and negative ion scanning.High performance liquid chromatography tandem mass spectrometry(HPLC-MS/MS)quantitative analysis was performed on a 35℃thermostatic Shim-pack GIST-HP C18 column(2.1 mm×100 mm,3 μm),with the mobile phase comprising of methanol-0.1%formic acid flowing at 0.25 mL/min in a gradient elution manner,and electron spray ionization source was adopted in positive and negative ion scanning with multiple reaction monitoring mode.RESULTS Total 65 constituents were identified,containing 19 alkaloids,13 organic acids,13 flavonoids,7 curcumins,6 iridoids,4 fatty acids,2 aldehydes,and 1 amino acid.Six constituents showed good linear relationships within their own ranges(r≥0.999 1),whose average recoveries were 96.44%-102.37%with the RSDs of 2.05%-3.74%.CONCLUSION This study can provide a reference for the quality control for Xieriga-4 Powder.

Objective:To investigate the clinical characteristics of patients with hemophagocytic lymphohistiocytosis(HLH)and quantify the diagnostic value of various indexes in patients with elevated soluble interleukin-2 receptor(sCD25),so as to construct a diagnostic prediction model of HLH.Methods:The clinical characteristics of 121 patients with elevated sCD25(≥ 2 400 U/ml)in the Third Affiliated Hospital of Sun Yat-Sen University were analyzed retrospectively.The patients were divided into HLH group and non-HLH group according to the diagnostic criteria of HLH.The patients with HLH were divided into infection group,tumor group,macrophage activation syndrome(MAS)group and unknown etiology group according to their etiology.The basic data and treatment of the patients were collected for univariate and multivariate logistic analysis to establish a diagnostic prediction model of HLH.Results:Among the 121 enrolled patients with elevated sCD25,68 were diagnosed as HLH.The proportion of patients using vasopressors,the incidence rate of disseminated intravascular coagulation(DIC),and the HScore in the HLH group were higher than those in the non-HLH group(P＜0.05).Hepatomegaly,splenomegaly,and hemophagocytosis were more common in HLH patients(P＜0.05).Compared with the patients in non-HLH group,patients in HLH group had lower levels of neutrophils,platelets,fibrinogen,IgG,and IgM,while the levels of triglycerides,ferritin(FER),sCD25,serum glutamic oxaloacetic transaminase(SGOT),alkaline phosphatase(ALP),total bilirubin(TBil),lactate dehydrogenase(LDH),and D-dimer were higher(P＜0.05).In subgroup analysis,the level of sCD25 in tumor group was higher than that in infection group.The level of sCD25/ferritin in tumor group was higher than that in infection group and MAS group.Compared with HLH patients in the tumor group,the procalcitonin(PCT)level,proportion of patients using vasopressors,positive rate of hemophagocytosis,and incidence rate of DIC were all higher in the infection group,and the differences were statistically significant(P＜0.05).The results of multivariate analysis showed that fever,splenomegaly,hemophagocytosis,cytopenias,IgM,M.sCD25[multiple of sCD25 detection value relative to the diagnostic threshold(2400 U/ml)],fibrinogen,and triglycerides were independent predictive factors for HLH(P＜0.05).The diagnostic prediction model H constructed based on temperature,splenomegaly,hemophagocytosis,cytopenias,IgM,M.sCD25,fibrinogen,triglycerides showed good predictive accuracy.The optimal cutoff value of H was 39.45,the sensitivity of the model was 94.12％,the specificity was 83.02％.Conclusion:sCD25,sCD25/FER,PCT,hemophagocytosis,hemodynamic instability and DIC could help to distinguish the underlying etiology of HLH.The prediction model H has high discrimination and calibration,which could be used as a relatively accurate clinical diagnostic tool for HLH.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Purpose: This study examined the structural and mechanical stability as well as the clinical significance of various fixation constructs for distal tibial fractures using finite element analysis. Materials and Methods: Fracture models with 20 mm and 120 mm defects were produced, and implants of an intramedullary nail and anatomical plate model were applied. An axial load of 800 N with 60% distribution in the medial compartment and 40% in the lateral compartment was applied and analyzed using Ansys ® software. Results: In the intramedullary nail model, the maximum von Mises stress occurred at the primary lag screw hole and adjacent medial cortex, while in the plate model, it occurred at the locking holes around the fracture. The maximum shear stress on the bone and metal implant in the fracture model with a 20 mm defect was highest in the plate assembly model, and in the fracture model with a 120 mm defect, it was highest in the two-lag screw assembly model. Conclusion Based on an analysis of the maximum shear stress distribution, securing the fixation strength of the primary lag screw hole is crucial, and the assembly model of the intramedullary nail with two lag screws and a blocking screw applied was the model that best withstood the optimal load. Securing the locking hole directly above the fracture is believed to provide the maximum fixation strength because the maximum pressure in the plate model is concentrated in the proximal locking hole and the surrounding cortex.

Artificial intelligence (AI) in medicine has gained a lot of momentum in the last decades and has been applied to various fields of medicine. Advances in computer science, medical informatics, robotics, and the need for personalized medicine have facilitated the role of AI in modern healthcare. Similarly, as in other fields, AI applications, such as machine learning, artificial neural networks, and deep learning, have shown great potential in andrology and reproductive medicine. AI-based tools are poised to become valuable assets with abilities to support and aid in diagnosing and treating male infertility, and in improving the accuracy of patient care. These automated, AI-based predictions may offer consistency and efficiency in terms of time and cost in infertility research and clinical management. In andrology and reproductive medicine, AI has been used for objective sperm, oocyte, and embryo selection, prediction of surgical outcomes, cost-effective assessment, development of robotic surgery, and clinical decision-making systems. In the future, better integration and implementation of AI into medicine will undoubtedly lead to pioneering evidence-based breakthroughs and the reshaping of andrology and reproductive medicine.