Five saponins were isolated from the kernels of Momordica cochinchinensis, by macroporous resin, silica gel, ODS column chromatography, and semi preparative HPLC. Based on MS and NMR analysis, combining with alkaline hydrolysis and acid hydrolysis, their structures were identified as: gypsogenin-3-O-{β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonosyl}-28-O-β-D-xylopyranosyl (1→3)-[β-D-xylopyranosyl (1→4)]-α-L-rhamnopyranosyl (1→2)-β-D-fucopyranoside (1), quillaic acid-3-O-{β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonosyl}-28-O-β-D-xylopyranosyl (1→3)-[β-D-xylopyranosyl (1→4)]-α-L-rhamnopyranosyl (1→2)-β-D-fucopyranoside (2), gypsogenin-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside sodium (3), quillaic acid-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside sodium (4), 18α-quillaic acid-3-O-β-D-galactopyranosyl (1→2)-[α-L-rhamnopyranosyl (1→3)]-β-D-glucuropyranonoside (5). Compounds 1-5 were new compounds, and named as mubezhisides A, B, C, D, E, respectively. They all could obviously inhibited the growth of Candida albicans, C. parapsilosis, and C. tropicalis.

Acute lung injury (ALI) has been a kind of acute and severe disease that is mainly characterized by systemic uncontrolled inflammatory response to the production of huge amounts of reactive oxygen species (ROS) in the lung tissue. Given the critical role of ROS in ALI, a Fe₃O₄ loaded bovine serum albumin (BSA) nanocluster (BF) was developed to act as a nanomedicine for the treatment of ALI. Combining with NIR irradiation, it exhibited excellent ROS scavenging capacity. Significantly, it also displayed the excellent antioxidant and anti-inflammatory functions for lipopolysaccharides (LPS) induced macrophages (RAW264.7), and Sprague Dawley rats via lowering intracellular ROS levels, reducing inflammatory factors expression levels, inducing macrophage M2 polarization, inhibiting NF-κB signaling pathway, increasing CD4⁺/CD8⁺ T cell ratios, as well as upregulating HSP70 and CD31 expression levels to reprogram redox homeostasis, reduce systemic inflammation, activate immunoregulation, and accelerate lung tissue repair, finally achieving the synergistic enhancement of ALI immunotherapy. It finally provides an effective therapeutic strategy of BF + NIR for the management of inflammation related diseases.

Radiation-induced thrombocytopenia (RIT) faces a perplexing challenge in the clinical treatment of cancer patients, and current therapeutic approaches are inadequate in the clinical settings. In this research, oxymatrine, a new molecule capable of healing RIT was screened out, and the underlying regulatory mechanism associated with magakaryocyte (MK) differentiation and thrombopoiesis was demonstrated. The capacity of oxymatrine to induce MK differentiation was verified in K-562 and Meg-01 cells in vitro. The ability to induce thrombopoiesis was subsequently demonstrated in Tg (cd41:enhanced green fluorescent protein (eGFP)) zebrafish and RIT model mice. In addition, we carried out network pharmacological prediction, drug affinity responsive target stability assay (DARTS) and cellular thermal shift assay (CETSA) analyses to explore the potential targets of oxymatrine. Moreover, the pathway underlying the effects of oxymatrine was determined by Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, Western blot (WB), and immunofluorescence. Oxymatrine markedly promoted MK differentiation and maturation in vitro. Moreover, oxymatrine induced thrombopoiesis in Tg (cd41:eGFP) zebrafish and accelerated thrombopoiesis and platelet function recovery in RIT model mice. Mechanistically, oxymatrine directly binds to toll-like receptor 2 (TLR2) and further regulates the downstream pathway stimulator of interferon genes (STING)/nuclear factor-kappaB (NF-κB), which can be blocked by C29 and C-176, which are specific inhibitors of TLR2 and STING, respectively. Taken together, we demonstrated that oxymatrine, a novel TLR2 agonist, plays a critical role in accelerating MK differentiation and thrombopoiesis via the STING/NF-κB axis, suggesting that oxymatrine is a promising candidate for RIT therapy.

Objective To investigate the current situation and influencing factors of latent tuberculosis infection(LTBI)among close contacts of positive etiology pulmonary tuberculosis(PTB)patients,provide basis for formula-ting intervention measures for LTBI.Methods A multi-stage stratified cluster random sampling method was used to select close contacts of positive etiology PTB patients from 39 districts and counties in Chongqing City as the study objects.Demographic information was collected by questionnaire survey and the infection of Mycobacterium tuberculosis was detected by interferon gamma release assay(IGRA).The influencing factors of LTBI were analyzed by x2 test and binary logistic regression model.Results A total of 2 591 close contacts were included,the male to female ratio was 0.69∶1,with the mean age of(35.72±16.64)years.1 058 cases of LTBI were detected,Myco-bacterium tuberculosis latent infection rate was 40.83％.Univariate analysis showed that the infection rate was dif-ferent among peoples of different age,body mass index(BMI),occupation,education level,marital status,wheth-er they had chronic disease or major surgery history,whether they lived together with the indicator case,and whether the cumulative contact time with the indicator case ≥250 hours,difference were all statistically significant(all P＜0.05);infection rate presented increased trend with the increase of age and BMI(both P＜0.001),and decreased trend with the increase of education(P＜0.05).Logistic regression analysis showed that age 45-54 years old(OR=1.951,95％CI:1.031-3.693),age 55-64 years old(OR=2.473,95％CI:1.279-4.781),other occupations(OR=0.530,95％CI:0.292-0.964),teachers(OR=0.439,95％CI:0.242-0.794),students(OR=0.445,95％CI:0.233-0.851),junior high school education or below(OR=1.412,95％CI:1.025-1.944),BMI＜18.5 kg/m2(OR=0.762,95％CI:0.586-0.991),co-living with indicator cases(OR=1.621,95％CI1.316-1.997)and cumu-lative contact time with indicator cases ≥250 hours(OR=1.292,95％CI:1.083-1.540)were the influential fac-tors for LTBI(all P＜0.05).Conclusion The close contacts with positive etiology PTB have a high latent infection rate of Mycobacterium tuberculosis,and it is necessary to pay attention to close contacts of high age,farmers,and frequent contact with patients,and take timely targeted interventions to reduce the risk of occurrence of disease.

Objective To explore the effectiveness of different intervention strategies in response to outbreaks of emerging highly pathogenic respiratory infectious diseases(RIDs)in mega-city in China,and provide decision-ma-king basis for effective response to emerging RIDs.Methods A susceptible-exposed-infectious-recovered(SEIR)transmission dynamics model was constructed,referencing to and combining the pathogenicity and infectivity para-meters of previous emerging RIDs.The outbreak of emerging highly pathogenic RIDs with low,moderate,and high infectivity in a mega-city with a population of 10 million in China was simulated,the development of the epidemic within 100 days after implementing different combinations of non-pharmaceutical interventions(NPIs)in response to the outbreak was compared.Results When highly pathogenic RIDs outbreak occurred,and if its infectivity was low(R0 was about 1.5),it was unnecessary to adopt strict NPIs to control epidemic.If its infectivity was moderate(R0 was about 6),different intensities of NPIs were needed based on its existing infection scale.When the initial num-ber of infected cases was 50,moderate-intensity NPIs could keep the infection and death at a low level within 100 days,and the required bed number in hospital for cases could be kept below the national average reserve level.But when the scale of infection exceeded 100 cases,high-intensity NPIs were needed to control the development of the epidemic.In the case of extremely strong infectivity(R0 was about 10),regardless of the scale of infection,only immediate high-intensity NPIs could control the epidemic,infection and death scale.Conclusion In case of out-breaks of highly pathogenic RIDs,adopting appropriate NPIs as early as possible based on their epidemiological characteristics and infection scale is necessary to minimize the harm to the population.

The purpose of this study was to identify the tick species native to Xindi Township,Yumin County,Xinjiang,China.Preliminary morphological identification of parasitic ticks collected from animals in the area was conducted with an ultra-depth of field three-dimensional VHX 600 digital stereo microscope.Total DNA of the ticks was extracted,amplified by PCR based on the COI and ITS2 gene loci,and the posi-tive PCR products were sequenced.The sequence were a-ligned with reference sequences from the NCBI database were aligned with the Basic Local Alignment Search Tool.A genet-ic phylogenetic tree was generated with the neighbor-joining method of MEGA 7.0 software to determine the evolutionary biological characteristics of ticks.Morphological identification showed that the ticks collected from Xindi Township of Yu-min County were consistent with the characteristics of Hya-lomma asiaticum.An evolutionary tree based on the COI and ITS2 gene sequences showed that the ticks collected in this study were clustered with known H.asiaticum sequences.The PCR products of COI and ITS2 were sequenced and compared,which confirmed that the collected tick species were H.asiaticum,in agreement with the morphological and molecular biological results.These findings help to clarify the distribution of ticks in Xindi Township of Xinjiang,and provide basic data for the analysis of tick genetic and evolutionary characteristics,as reference for surveillance and control of ticks in the Xinjiang Uygur Autonomous Region.

Bone organoids can simulate the complex structure and function of the bone tissues, which makes them a frontier technology in organoid researches. Bone organoids show a tremendous potential of applications in bone disease modeling, bone injury repair, and medicine screening. Although advancements have been made so far in constructing bone organoids with functional structures like mineralization, bone marrow, trabecular bone, callus, woven bone, etc, the researches in this field are confronted with numerous challenges such as lack of standardized construction strategies and unified evaluation criteria, which limits their further promotion and application. To standardize researches in bone organoids, the Orthopedic Expert Committee of Geriatric Branch of Chinese Association of Gerontology and Geriatrics, the Youth Osteoporosis Group of Orthopedic Branch of Chinese Medical Association, the Osteoporosis Group of Orthopedic Surgeon Branch of Chinese Medical Doctor Association, and the Osteoporosis Committee of Shanghai Association of Integrated Traditional Chinese and Western Medicine organized related experts to formulate Expert consensus on the construction, evaluation, and application of bone organoids ( version 2024) based on an evidence-based approach. A total of 17 recommendations were put forth, aiming to standardize researches and clinical applications of bone organoids and enhance their value in scientific research and clinical practice.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

The purpose of this study was to explore the clinical efficacy and safety of Gynostemma pentaphyllum (G. pentaphyllum) in the treatment of hyperlipidemia, and to provide systematic evaluation basis for clinical application. CNKI, Wanfang Data, VIP, Web of science, PubMed, Embase and Cochrane Library were searched for randomized controlled trials (RCTs) about G. pentaphyllum in the treatment of hyperlipidemia. Review Manager 5.4 were used for statistical analysis. Through reading topics, abstracts, and full texts, 27 papers with 2311 cases involved that met the inclusion and exclusion criteria were finally included for the analysis. In terms of curative effect, the effect of G. pentaphyllum alone in increasing high density lipoprotein (HDL) index was better than that of conventional treatment, and the effect of reducing total cholesterol (TC), triglyceride (TG) and low density lipoprotein (LDL) was similar to that of conventional treatment. There was a synergistic effect between G. pentaphyllum and conventional drugs, and the combination of G. pentaphyllum and conventional drugs was superior to conventional treatment in reducing TG and increasing HDL. G. pentaphyllum can also decrease the levels of serum glutamic pyruvic transaminase and glutamic oxaloacetic transaminase in the treatment of hyperlipidemia, indicating a certain protective function of the liver. In terms of safety, there were fewer cases of adverse reactions in the G. pentaphyllum treatment group, and the adverse reaction events reported in the literature was mild. According to the results of meta-analysis, G. pentaphyllum was effective in the treatment of hyperlipidemia, and it has the potential to be combined with traditional drugs, has a certain liver protection function, and was superior to traditional drugs in the treatment of hyperlipidemia.

ObjectiveTo investigate the role of bile acid receptor TGR5 activation in renal fibrosis induced by unilateral ischemia reperfusion injury and contralateral nephrectomy （uIRIx） model. MethodsIn vivo： C57BL/6J mice were randomly divided into Sham group， uIRIx group and uIRIx+ lithcholic acid （LCA） group with 6 mice in each group. Kidney fibrosis was induced by uIRIx model， kidney function was evaluated by blood and urine biochemical indexes， and the degree of kidney injury was evaluated by HE staining. Masson staining and immunohistochemistry were used to evaluate the degree of renal fibrosis， and Western Blotting was used to detect the expression of related index proteins of renal cortical fibrosis. Sham group and uIRIx group were set in TGR5^+/+ mice and TGR5^-/- mice respectively， with 6 mice in each group. The degree of renal fibrosis in each group was detected by Western Blotting. In vitro： TGF-β1 was administered to induce pro-fibrosis response in human renal tubular epithelial cell line （HK2 cells）， LCA was used for drug intervention， cytoskeleton was labeled with phalloidin-FITC staining and the expression of fibrosis related indicator protein in HK2 cells was detected by Western Blotting. ResultsIn vivo： Compared with the Sham group， plasma creatinine level （P=0.007） and urinary albumin/creatinine ratio （P=0.041） in uIRIx group were significantly increased， renal cortical protein TGR5 expression （P=0.002） was decreased， Fibronectin expression （P=0.020） and COL1A1 expression （P<0.001） were increased. At the same time， the kidney structure was damaged and collagen deposition was aggravated. LCA intervention effectively improved the kidney function and alleviated the degree of kidney injury and fibrosis. TGR5 gene knockout increased uIRIx-induced Fibronectin expression （P<0.001） and COL1A1 expression （P=0.001） compared with TGR5^+/+ mice. In vitro： TGF-β1 induced morphological changes of HK2 cells， cytoskeletal depolymerization and recombination， and promoted the up-regulation of fibrosis index protein. LCA effectively inhibited the morphological changes and skeletal depolymerization induced by TGF-β1， and down-regulated the expression of fibrosis related indicator proteins. ConclusionsLCA alleviated renal fibrosis induced by uIRIx model， and knockout of TGR5 gene aggravated uIRIx induced renal fibrosis； In HK2 cells， LCA alleviated fibrogenic reaction induced by TGF-β1. This indicates that activation of TGR5 alleviates renal fibrosis induced by uIRIx.