Nine compounds were isolated and purified from 90% ethanol extract of Alstonia mairei Lévl by using various chromatographic methods, including silica gel, SephadexLH-20, MCI Gel and ODS column chromatography, combined with semi-preparative liquid phase separation methods. Modern spectroscopic methods (1D and 2D NMR, UV, IR, MS, etc.) were used to identify the structures of the isolated compounds. They were identified as mairoside A (1), 3′,6-di-O-sinaloylsucrose (2), myristic acid (3), methyl myristate (4), ethyl myristate (5), 3,4,5-trimethoxycinnamic acid (6), 3,4,5-trimethoxybenzoic acid (7), vinoline (8), kaempferol-3-O-rutinoside (9), among which compound 1 is a new glycoside, compounds 4 and 5 are new natural products, and the nuclear magnetic data of compound 4 were reported for the first time.

Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg^-1) and a high dose (15 mg·kg^-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D₃03)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.

Quantum dots (QDs), nanoscale semiconductor crystals, have emerged as a revolutionary class of nanomaterials with unique optical and electrochemical properties, making them highly promising for applications in disease diagnosis and treatment. Their tunable emission spectra, long-term photostability, high quantum yield, and excellent charge carrier mobility enable precise control over light emission and efficient charge utilization, which are critical for biomedical applications. This article provides a comprehensive review of recent advancements in the use of quantum dots for disease diagnosis and therapy, highlighting their potential and the challenges involved in clinical translation. Quantum dots can be classified based on their elemental composition and structural configuration. For instance, IB-IIIA-VIA group quantum dots and core-shell structured quantum dots are among the most widely studied types. These classifications are essential for understanding their diverse functionalities and applications. In disease diagnosis, quantum dots have demonstrated remarkable potential due to their high brightness, photostability, and ability to provide precise biomarker detection. They are extensively used in bioimaging technologies, enabling high-resolution imaging of cells, tissues, and even individual biomolecules. As fluorescent markers, quantum dots facilitate cell tracking, biosensing, and the detection of diseases such as cancer, bacterial and viral infections, and immune-related disorders. Their ability to provide real-time, in vivo tracking of cellular processes has opened new avenues for early and accurate disease detection. In the realm of disease treatment, quantum dots serve as versatile nanocarriers for targeted drug delivery. Their nanoscale size and surface modifiability allow them to transport therapeutic agents to specific sites, improving drug bioavailability and reducing off-target effects. Additionally, quantum dots have shown promise as photosensitizers in photodynamic therapy (PDT). When exposed to specific wavelengths of light, quantum dots interact with oxygen molecules to generate reactive oxygen species (ROS), which can selectively destroy malignant cells, vascular lesions, and microbial infections. This targeted approach minimizes damage to healthy tissues, making PDT a promising strategy for treating complex diseases. Despite these advancements, the translation of quantum dots from research to clinical application faces significant challenges. Issues such as toxicity, stability, and scalability in industrial production remain major obstacles. The potential toxicity of quantum dots, particularly to vital organs, has raised concerns about their long-term safety. Researchers are actively exploring strategies to mitigate these risks, including surface modification, coating, and encapsulation techniques, which can enhance biocompatibility and reduce toxicity. Furthermore, improving the stability of quantum dots under physiological conditions is crucial for their effective use in biomedical applications. Advances in surface engineering and the development of novel encapsulation methods have shown promise in addressing these stability concerns. Industrial production of quantum dots also presents challenges, particularly in achieving consistent quality and scalability. Recent innovations in synthesis techniques and manufacturing processes are paving the way for large-scale production, which is essential for their widespread adoption in clinical settings. This article provides an in-depth analysis of the latest research progress in quantum dot applications, including drug delivery, bioimaging, biosensing, photodynamic therapy, and pathogen detection. It also discusses the multiple barriers hindering their clinical use and explores potential solutions to overcome these challenges. The review concludes with a forward-looking perspective on the future directions of quantum dot research, emphasizing the need for further studies on toxicity mitigation, stability enhancement, and scalable production. By addressing these critical issues, quantum dots can realize their full potential as transformative tools in disease diagnosis and treatment, ultimately improving patient outcomes and advancing biomedical science.

Aim To explore whether platelet-derived growth factor C(PDGFC)derived from cancer-associat-ed fibroblasts(CAFs)can promote resistance of breast cancer cells to doxorubicin(DOX)and the underlying mechanisms.Methods CAFs and normal fibroblasts(NFs)were extracted from freshly resected breast cancer tissue and adjacent normal breast tissue respec-tively.Conditioned medium(CM)from CAFs and NFs was collected and co-cultured with breast cancer cells.Cell proliferation and toxicity were assessed using a Cell Counting Kit-8(CCK-8).The expression of PDG-FC in CAFs,NFs and corresponding CM was detected by Western blot and ELISA respectively.The influence of CAFs-CM on intracellular doxorubicin content in breast cancer cells was observed by fluorescence mi-croscopy.The impact of CAFs-CM on apoptosis-related proteins BAX and BCL2 was predicted and valifated u-sing the Starbase database and Western blot.The changes in ROS levels,mitochondrial membrane po-tential,and mitochondrial membrane proteins TOM20 and COX Ⅳ in breast cancer cells were measured using DCFH-DA fluorescence staining,JC-1 assay,and Western blot.Results CAFs-CM decreased the intra-cellular doxorubicin content and inhibited the sensitivi-ty of breast cancer cells to doxorubicin.Additionally,the expression of apoptosis protein BAX decreased while the anti-apoptotic protein BCL2 increased in breast cancer cells cultured with CAFs-CM.Further-more,CAFs-CM led to decreased ROS levels and in-creased mitochondrial membrane potential in breast cancer cells accompanied with elevated expression of mitochondrial membrane proteins TOM20 and COX Ⅳ.Further study found that PDGEF was highly expressed in CAFs and CAFs-CM,recombinant human PDGFC produced resistance of breast cancer cells to DOX simi-lar to CAFs-CM,and the specific inhibitors of PDGFRα significantly inhibited CAFs-CM.Further mechanistic studies revealed that PDGFC in CAFs-CM induced chemoresistance by activating PI3K-mTOR signaling pathway.Conclusion PDGFC secreted by CAFs promotes doxorubicin resistance in breast cancer cells through PI3K-mTOR signaling pathway,which provides a new perspective for the development of anti-cancer drugs targeting CAFs.

Aim To establish a gait analysis system based on DeepLabCut(DLC)algorithm for evaluating motor function in aged mice.Methods Based on DLC algorithm in deep learning technology,treadmill device and fully closed design were used in the system,including software and hardware.This system was applied to evaluate gait characteristics of mice due to aging un-der different movement modes.Correlation analysis was used to explore the effects of body weight and body length on gait indica-tors.Results This system realized the synchronous analysis of three-dimensional gait(lateral and ventral plane)of mice at specific gait speed,and automatically quantified 47 gait indica-tors.Using this system,it was found that during walking(15 cm·s-1),the standard deviation of body turning angle decreased,forelimb sway duration,standard deviation of knee angle,mean outward angles of left and right hind paw increased in 8 and 15 month-old mice,compared with 2-month-old mice.However,15-month-old mice showed decreased walking frequency,and in-creased stride width,total duration of double support,and knee extension and contraction distance.In addition,at trot(20 cm·s-1),15-month-old mice were unable to walk steadily,and 8-month-old mice had increased total duration of double support and mean outward angles of left hind paw,compared with 2-month-old mice.Correlation analysis revealed that indicators like walking frequency,stride width,forelimb sway duration,total duration of double support,standard deviation of knee an-gle,knee extension and contraction distance,were not affected by changes in body weight and body length.Conclusions The gait analysis system based on DLC algorithm can achieve a more sensitive,accurate and comprehensive evaluation of the gait of aged mice,distinguishing the gait characteristics of aged mice to maintain gait stability,and selecting behavioral indicators that better reflect the gait changes of aged mice.It provides a meth-odological basis for more effective assessment of efficacy and side effects of drugs for anti-aging and anti-decline of motor coordina-tion in the future.

Aim To investigate the effects of Ginkgo biloba extract(GBE)on vascular endothelial dysfunc-tion induced by chronic intermittent hypoxia(CIH)in rats and its related mechanisms.Methods The CIH rat model was established,and 50 and 100 mg·kg-1 GBE was administered by intragastric administration.The systolic blood pressure(SBP)of the tail artery was detected in each group.HE staining was used to detect the morphology of aorta tissue.DAF-FM DA staining and nitric reductase assay were used to detect NO levels.ELISA was used to detect serum ET-1,TNF-α and IL-6 levels.DHE staining was used to de-tect reactive oxygen species(ROS)levels of aortic tis-sue.Kits were used to detect the serum levels of MDA,SOD and GSH-Px.Western blot was used to detect the levels of VCAM-1,ICAM-1,nucleus Nrf2,HO-1 and NQO1 of aortic tissue.Results GBE sig-nificantly decreased the levels of SBP,ET-1,ROS,MDA,VCAM-1,ICAM-1,TNF-α and IL-6,and sig-nificantly increased the levels of NO,SOD,GSH-Px,nuclear Nrf2,HO-1 and NQO1 in CIH rats.GBE sig-nificantly improved the histomorphology of aorta in CIH rats.Conclusions GBE can improve vascular endo-thelial dysfunction and reduce blood pressure in CIH model rats.The mechanism may be related to the acti-vation of Nrf2/ARE pathway and the inhibition of oxi-dative stress and inflammation by GBE.

Although indigenous malaria has been eliminated in Wuhan since 2013,imported malaria remains a potential threat as an infectious source of local malaria transmission.The epidemiological and clinical characteristics of imported malaria are particularly important in areas where local malaria has been eliminated.This study was aimed at analyzing the epidemiological and clinical characteristics of imported malaria in Wuhan from 2012 to 2019,to provide a basis for further improving the preven-tion and control of imported malaria.Patients in Wuhan diagnosed with imported malaria from January 1,2012,to December 31,2019,were included in this study.A case-control study was con-ducted to analyze the features of patients with severe malaria.Uni-variate and multivariate logistic regression was used to identify risk factors for prolonged hospital length of stay(LOS).Among 229 imported malaria cases,212(92.6％)were in Chinese citizens,and most cases were in men(96.5％).The gender ratio is 28:1,and the age of cases is mainly concertrated between 18 and 50 years old(89.1％).More than 80％of patients were mi-grant workers,and most cases were infections from African countries(92.6％).Plasmodium falciparum(80.8％)was the dominant species.Fifty-three severe malaria cases were identified during the study period.Compared with uncomplicated cases,severe cases tended to occur in patients with no history of malaria(P=0.008),patients infected with Plasmodium falciparum(P=0.009),and patients who were initially misdiagnosed(P＜0.001).The median LOS was 6 days,and the species of infec-tion(Plasmodium falciparum),the use of antimalarial drugs(group B),antipyretic time(longer than 3 days),and the turn-around time of blood smear microscopy(longer than 3 days)were significantly associated with longer LOS(all P＜0.05).Al-though malaria has been eradicated in Wuhan for many years,imported cases continue to pose a threat.Efforts should be made to strengthen malaria knowledge education for outbound personnel.Additionally,medical institutions must enhance diagnosis and treatment capabilities for malaria,and adhere to standardized treatment processes,and the development of drug resistance and occurrence of severe malaria must be prevented.

This study analyzed and compared the epidemiological characteristics of foodborne listeriosis in the United States and China,to provide evidence for optimizing the listeriosis surveillance program in China.Descriptive statistical analysis was performed on the listeriosis monitoring data from 2009 to 2021 registered in the FDOSS system and the attribution estimates of Listeria monocytogenes(L.monocytogenes)from 2013 to 2021 published by IFSAC.Sporadic and outbreak data on listeriosis in China from the CNKI,Wanfang Medical,and CQVIP databases were collected.From 2009 to 2021,a total of 1 037 listeriosis cases were reported in the United States,including 902 hospitalizations and 165 deaths.The peak of cases caused by Lm con-taminated food was in July.The number of cases,hospitalizations,and deaths accounted for 18.4％(191/1 037),20.5％(185/902),and 22.4％(37/165)of the total,respectively.Most listeriosis outbreaks were attributed to three food groups:dairy products,vegetable crops,and fruits,with attribution percentages ranging from 73.8％to 89.6％.The overall incidence of list-eriosis in China was not high:619 cases were reported from 2009 to 2021,and only 177 cases were recorded in detailed inci-dence years;the maximum number of cases in 2018 was 26.A total of 220 cases were reported with detailed onset months;the highest number of cases in April was 30.Data on listeriosis cases in China are incomplete and sporadic,and only seven cases have been successfully traced to food.Listeriosis surveillance systems in the United States are relatively complete,and there are more foodborne outbreaks.Dairy products,vegetable row crops,and fruits are the most likely causes of disease outbreaks.Although only sporadic cases have been reported in China,China should take actions such as gradually improving multi-department coop-eration mechanisms,achieving data sharing and deepening data mining,and accelerating progress in the detection technology of food-borne pathogenic microorganisms,to ensure food safety and public health.

Cases of human infection with H7 subtype avian influenza virus(AIV)combined with five NA subtypes(N2,N3,N4,N7,and N9)have been reported.This study was aimed at establishing a method for simultaneous detection and dif-ferential diagnosis of H7 and five NA subtypes of AIV.Seven pairs of specific primers were designed according to the conserved sequences of the HA gene of H7 subtype AIV,the NA gene of five NA AIV subtypes,and the M gene of all AIV subtypes.A high-throughput GeXP typing method was established for simultaneous detection of the H7 subtype and the five NA subtypes of AIV by using GeXP multiple gene expression and capillary electrophoresis analysis technology.The specificity and sensitivity of the method were determined,and clinical samples were tested.The specificity results indicated that this method was able to simultaneously detect seven target genes in a single tube;each pair of specific primers was able to detect the corresponding AIV subtype,and the universal detection primers were able to detect all subtypes of AIV,with no cross-reaction with other common avian disease pathogens.Sensitivity results demonstrated that this method was able to simultaneously detect seven target genes with a threshold detection limit was 100 copies/μL.The detection results for 150 clinical samples were consistent with those of viral isolation and identification.The high-throughput GeXP method for simultaneous differential diagnosis of the H7 subtype and five subtypes of AIV established in this study has advantages of high specificity,high sensitivity,rapidity,and simplicity,thus providing a new detection method for the effective prevention and control of AIV.

Objective:To evaluate the efficacy of acute T-cell lymphoblastic leukemia(T-ALL)in children and explore the prognostic risk factors.Methods:The clinical data of 127 newly diagnosed children with T-ALL admitted to five hospitals in Fujian province from April 2011 to December 2020 were retrospectively analyzed,and compared with children with newly diagnosed acute precursor B-cell lymphoblastic leukemia(B-ALL)in the same period.Kaplan-Meier analysis was used to evaluate the overall survival(OS)and event-free survival(EFS),and COX proportional hazard regression model was used to evaluate the prognostic factors.Among 116 children with T-ALL who received standard treatment,78 cases received the Chinese Childhood Leukemia Collaborative Group(CCLG)-ALL 2008 protocol(CCLG-ALL 2008 group),and 38 cases received the China Childhood Cancer Collaborative Group(CCCG)-ALL 2015 protocol(CCCG-ALL 2015 group).The efficacy and serious adverse event(SAE)incidence of the two groups were compared.Results:Proportion of male,age ≥ 10 years old,white blood cell count(WBC)≥ 50 × 109/L,central nervous system leukemia,minimal residual disease(MRD)≥ 1％during induction therapy,and MRD ≥ 0.01％at the end of induction in T-ALL children were significantly higher than those in B-ALL children(P＜0.05).The expected 10-year EFS and OS of T-ALL were 59.7％and 66.0％,respectively,which were significantly lower than those of B-ALL(P＜0.001).COX analysis showed that WBC ≥ 100 x 109/L at initial diagnosis and failure to achieve complete remission(CR)after induction were independent risk factors for poor prognosis.Compared with CCLG-ALL 2008 group,CCCG-ALL 2015 group had lower incidence of infection-related SAE(15.8％vs 34.6％,P=0.042),but higher EFS and OS(73.9％vs 57.2％,PEFS=0.090;86.5％vs 62.3％,PoS=0.023).Conclusions:The prognosis of children with T-ALL is worse than children with B-ALL.WBC ≥ 100 × 109/L at initial diagnosis and non-CR after induction(especially mediastinal mass has not disappeared)are the risk factors for poor prognosis.CCCG-ALL 2015 regimen may reduce infection-related SAE and improve efficacy.