Numerous c-mesenchymal-epithelial transition (c-MET) inhibitors have been reported as potential anticancer agents. However, most fail to enter clinical trials owing to poor efficacy or drug resistance. To date, the scaffold-based chemical space of small-molecule c-MET inhibitors has not been analyzed. In this study, we constructed the largest c-MET dataset, which included 2,278 molecules with different structures, by inhibiting the half maximal inhibitory concentration (IC₅₀) of kinase activity. No significant differences in drug-like properties were observed between active molecules (1,228) and inactive molecules (1,050), including chemical space coverage, physicochemical properties, and absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiles. The higher chemical diversity of the active molecules was downscaled using t-distributed stochastic neighbor embedding (t-SNE) high-dimensional data. Further clustering and chemical space networks (CSNs) analyses revealed commonly used scaffolds for c-MET inhibitors, such as M5, M7, and M8. Activity cliffs and structural alerts were used to reveal "dead ends" and "safe bets" for c-MET, as well as dominant structural fragments consisting of pyridazinones, triazoles, and pyrazines. Finally, the decision tree model precisely indicated the key structural features required to constitute active c-MET inhibitor molecules, including at least three aromatic heterocycles, five aromatic nitrogen atoms, and eight nitrogen-oxygen atoms. Overall, our analyses revealed potential structure-activity relationship (SAR) patterns for c-MET inhibitors, which can inform the screening of new compounds and guide future optimization efforts.

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OBJECTIVE: Recombination events are common and serve as the primary driving force of diverse human adenovirus (HAdV), particularly in children with acute respiratory tract infections (ARIs). Therefore, continual monitoring of these events is essential for effective viral surveillance and control. METHODS: Respiratory specimens were collected from children with ARIs between January 2022 and December 2023. The penton base, hexon, and fiber genes were amplified from HAdV-positive specimens and sequenced to determine the virus type. In cases with inconsistent typing results, genes were cloned into the pGEM-T vector to detect recombination events. Metagenomic next-generation sequencing (mNGS) was performed to characterize the recombinant HAdV genomes. RESULTS: Among 6,771 specimens, 277 (4.09%, 277/6,771) were positvie for HAdV, of which 157 (56.68%, 157/277) were successfully typed, with HAdV-B3 being the dominant type (91.08%, 143/157), and 14 (5.05%, 14/277) exhibited inconsistent typing results, six of which belonged to species B. The penton base genes of these six specimens were classified as HAdV-B7, whereas their hexon and fiber genes were classified as HAdV-B3, resulting in a recombinant genotype designated P7H3F3, which closely resembled HAdV-B114. Additionally, a partial gene encoding L1 52/55 kD was identified, which originated from HAdV-B16. CONCLUSION A novel recombinant, P7H3F3, was identified, containing sequences derived from HAdV-B3 and HAdV-B7, which is similar to HAdV-B114, along with additional sequences from HAdV-B16.
Humans ; Adenoviruses, Human/isolation & purification* ; Respiratory Tract Infections/epidemiology* ; Child, Preschool ; Child ; Recombination, Genetic ; Male ; Beijing/epidemiology* ; Infant ; Female ; Phylogeny ; Adenovirus Infections, Human/epidemiology* ; Acute Disease ; Genome, Viral

OBJECTIVE: To investigate the relationship between physical activity and genetic risk and their combined effects on the risk of developing chronic obstructive pulmonary disease. METHODS: This prospective cohort study included 318,085 biobank participants from the UK. Physical activity was assessed using the short form of the International Physical Activity Questionnaire. The participants were stratified into low-, intermediate-, and high-genetic-risk groups based on their polygenic risk scores. Multivariate Cox regression models and multiplicative interaction analyses were used. RESULTS: During a median follow-up period of 13 years, 9,209 participants were diagnosed with chronic obstructive pulmonary disease. For low genetic risk, compared to low physical activity, the hazard ratios ( HRs) for moderate and high physical activity were 0.853 (95% confidence interval [ CI]: 0.748-0.972) and 0.831 (95% CI: 0.727-0.950), respectively. For intermediate genetic risk, the HRs were 0.829 (95% CI: 0.758-0.905) and 0.835 (95% CI: 0.764-0.914), respectively. For participants with high genetic risk, the HRs were 0.809 (95% CI: 0.746-0.877) and 0.818 (95% CI: 0.754-0.888), respectively. A significant interaction was observed between genetic risk and physical activity. CONCLUSION Moderate or high levels of physical activity were associated with a lower risk of developing chronic obstructive pulmonary disease across all genetic risk groups, highlighting the need to tailor activity interventions for genetically susceptible individuals.
Humans ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Exercise ; Male ; Female ; Middle Aged ; Prospective Studies ; Aged ; Genetic Predisposition to Disease ; Risk Factors ; United Kingdom/epidemiology* ; Incidence ; Adult

Objective:To analyze the correlation of bone mineral density (BMD) , serum transforming growth factor β1 (TGF- β1) , and retinol-binding protein 4 (RBP4) with osteoporosis in gestational diabetes mellitus (GDM) . Methods:A total of 180 GDM patients admitted to Department of Gynecology, Second Hospital of Tianjin Medical University from Jan. 2022 to Jan. 2024 were included as the observation group, and 30 healthy pregnant women undergoing examination at the same time were included into the control group. BMD [stiffness index (SI) , broadband ultrasound attenuation (BUA) , speed of sound (SOS) ], serum TGF-β1, and RBP4 levels were compared between the two groups; GDM women with complicated with osteoporosis were included in the osteoporosis subgroup, and pregnant women without osteoporosis were included in the non-osteoporosis subgroup. BMD, serum TGF- β1 and RBP4 levels were compared between the two groups, and the relationship among bone mineral density and serum TGF- β1, RBP4 was analyzed by Pearson correlation. Receiver operating characteristic curve (ROC) curve was drawn to evaluate the diagnostic value of serum TGF- β1 and RBP4 levels in GDM complicated with osteoporosis. Results:The observation group had significantly higher levels of serum TGF- β1 and RBP4 than the control group, while lower BUA, SOS and SI ( t=99.04, 28.48, 4.10, 3.54, 6.29, P < 0.05) ; Among 180 pregnant women with GDM, 38 cases had osteoporosis and 142 cases did not have osteoporosis. The osteoporosis subgroup had significantly higher serum TGF- β1 and RBP4 levels than the other subgroup, while BMD indexes such as BUA, SOS and SI were significantly lower ( t=3.35, 3.48, 3.77, 2.85, 3.41, P < 0.05) ; Pearson correlation analysis showed that BMD indexes, such as BUA, SOS and SI, were significantly correlated with serum TGF- β1 and RBP4 in pregnant women with GDM ( r=-0.61, 0.58, -0.60, -0.58, -0.60, -0.63, P<0.05) ; The area under the curve (AUC) of TGF- β1, RBP4 and combined detection of GDM women with osteoporosis was 0.572, 0.653 and 0.659, respectively. Conclusions:In GDM women complicated with osteoporosis, the levels of serum TGF- β1 and RBP4 increase significantly, and BMD decreases significantly. Serum TGF- β1 and RBP4 in GDM women are closely related to BMD index, which can provide early diagnosis basis for GDM complicated with osteoporosis.

An overview of the development of exoskeleton robots was presented,and the current status of the application of exoskeleton robots was summarized in the field of rehabilitation of spinal cord injury patients.The rehabilitation efficacy of exoskeleton robots was described on walking ability,cardiopulmonary function,daily living ability and quality of life of spinal cord injury patients.The problems of exoskeleton robots applied for the rehabilitation of spinal cord injury patients were analyzed,and the future development trends of exoskeleton robots were envisioned.[Chinese Medical Equipment Journal,2025,46(4):100-107]

Objective:To understand the burden of chronic kidney disease (CKD) and its risk factors in Fujian Province during 1990-2019.Methods:Based on the Global Burden of Disease Study 2019, the incidence rate, mortality rate and disability-adjusted life years (DALYs) of CKD in Fujian from 1990 to 2019 were calculated. An age-period-cohort model was used to estimate the effects of age, period, and cohort on age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and age-standardized DALY rate (ASDR) of CKD. Comparative risk assessment theory was used to calculate the potential attributable DALYs due to risk factors.Results:In 2019, the ASIR of CKD in Fujian exceeded the national average. The ASIR of CKD showed an increasing trend from 1990 to 2019, but the ASMR and ASDR of CKD exhibited decreasing trends during the same period. In 2019, the ASIR of CKD was higher in women than in men, while the ASMR and ASDR were higher in men than in women. Age-period-cohort analysis indicated that ASIR, ASMR, and ASDR of CKD increased with age. The period effect for ASIR decreased first before increase, while the period effect for ASMR and ASDR displayed fluctuating trends. The cohort effect showed an upward trajectory for ASIR, but a stable status before downward trajectories for ASMR and ASDR. Compared with 1990, except the increase in the ASDR of CKD attributed to high BMI and high temperatures, the ASDR of CKD attributed to other risk factors all showed decreases in 2019. However, the ASDR attributed to high sodium intake remained higher compared with the global average.Conclusion:The burden of CKD remains heavy in Fujian, and it is necessary to reduce the attributable risk factors, such as high sodium intake and high BMI, to address this problem.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1％of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9％)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5％)was lower than that in inpatient children(31.5％).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1％)than in inpatient children(59.4％).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14％,11.7％,47.8％in outpatients,but 24.2％,20.6％,and 52.8％in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.