Pulmonary fibrosis（PF） is a progressive and life-threatening disease with limited therapeutic options， highlighting the urgent need for innovative drug discovery strategies. To address this challenge， the authors propose the formula-originated rational intelligent screening&translation（FIRST）， a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine（TCM）. The strategy integrates three key dimensions， including tissue-oriented intelligent screening of active compounds， structural optimization based on drug-target spatial interactions and plant biosynthetic pathways， and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM， the development and mechanistic elucidation of anti-fibrotic therapeutics， as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class， formula-derived monomeric drugs with defined structures， clarified mechanisms， and proven safety， offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.

Pulmonary fibrosis（PF） is a progressive and life-threatening disease with limited therapeutic options， highlighting the urgent need for innovative drug discovery strategies. To address this challenge， the authors propose the formula-originated rational intelligent screening&translation（FIRST）， a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine（TCM）. The strategy integrates three key dimensions， including tissue-oriented intelligent screening of active compounds， structural optimization based on drug-target spatial interactions and plant biosynthetic pathways， and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM， the development and mechanistic elucidation of anti-fibrotic therapeutics， as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class， formula-derived monomeric drugs with defined structures， clarified mechanisms， and proven safety， offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.

Intelligent prescription recommendation has become an important research direction in traditional Chinese medicine (TCM), offering new opportunities to support clinical decision-making and promote the modernization of TCM practice. With the rapid development of artificial intelligence (AI), a variety of computational approaches have been proposed to learn prescription patterns from clinical data and generate personalized treatment recommendations. However, despite increasing research activity, systematic and comprehensive reviews of AI-driven methods for TCM prescription recommendation remain limited. In this study, we present a comprehensive review of computational approaches for herbal prescription recommendation (HPR) in TCM. Existing methods are systematically categorized into several major paradigms, including traditional machine learning methods, topic model methods, sequential generative methods, deep learning and graph-based methods, and large language model–based frameworks. In addition to summarizing methodological developments, we also review commonly used public datasets and evaluation metrics in this field. Furthermore, representative models with publicly available implementations are experimentally evaluated on multiple benchmark datasets to provide a comparative analysis of their performance on the HPR task. Finally, we discuss the key challenges that hinder the practical deployment of intelligent prescription recommendation systems, including data heterogeneity, limited interpretability, and insufficient integration of TCM domain knowledge. Future research directions are outlined to facilitate the development of more reliable, interpretable, and clinically applicable AI-assisted HPR systems for TCM.

Plutonium isotopes(238Pu,239Pu,240Pu and 241Pu)in the environment are important"fingerprint"nuclides in the study of nuclear activity traceability.The content of plutonium isotopes in the environmental metrics is usually very low,and the measurement of these isotopes,especially 238Pu,using mass spectrometry is seriously interfered with by the coexisting 238U.The analysis of several plutonium isotopes in soil usually requires combination of multiple measurement techniques,which leads to a long analysis time and large uncertainty in the isotope ratio.In this work,the hydrous titanium oxide(HTiO)precipitated by the hydrolysis of titanium oxydichloride(TiOCl2)under near-neutral condition was used to preconcentrate plutonium from the soil digestion solution,and the highly efficient decontamination of 238U in the sample was achieved by TK200 resin column chromatography with a decontamination factor of 108.Simulation resuts of density functional theory(DFT)showed that NH3 was considered as a promising reaction gas to eliminate the interference of 238U from 238Pu measurement using mass spectrometry due to the significant discrepancy of the chemical reactivity of U+and Pu+with the reactive gas NH3.Experiments confirmed that by optimizing the flow rates of collision gas(He)and reaction gas(NH3),the interference of 238U could be effectively suppressed,and the decontamination factor of 238U was 104.Combined with chemical separation,the overall decontamination factor of 238U could reach 1012 by using the developed method.By combining chemical separation and tandem quadrupole inductively coupled plasmon-mass spectrometry(ICP-MS/MS)measurement,the simultaneous determination of four ultra-trace plutonium isotopes in soil was realized,and the detection limit of plutonium isotopes was at the femtogram level.Analysis of the international standard reference materials(NIST-SRM-4357 and IAEA-384)showed that the established method could be successfully used for the accurate analysis of ultra-trace four plutonium isotopes(238Pu,239Pu,240Pu and 241Pu)in soil samples.

By summarizing the mass spectrometric fragmentation patterns of oxyphenisatin substances,an analytical method was established for screening of illegally added oxyphenisatin compounds in weight-loss health foods using high performance liquid chromatography-in-source-fragmentation-quadrupole time-of-flight mass spectrometry(HPLC-ISF-QTOF-MS),along with a quantitative method for 11 kinds of oxyphenisatin compounds.Based on the developed screening method,an oxyphenisatin derivative was discovered in the reference standards,which was tentatively identified as 4-(3-(4-hydroxyphenyl)-2-oxoindolin-3-yl)phenyl acetate and confirmed by MS/MS analysis.The results showed that all 11 kinds of oxyphenisatin compounds had correlation coefficients greater than 0.9971,with limits of detection(LODs)ranging from 0.12 to 0.68 μg/L and limits of quantification(LOQ)from 0.21 to 2.29 μg/L.The LODs for 11 kinds of characteristic ions ranged from 0.45 to 9.11 μg/kg.At spiking levels of 25,50 and 100 μg/kg,the recoveries ranged from 78.9%to 117.3%.The instrumental precision,intra-day method precision and inter-day method precision were 0.23%?1.70%,0.7%?2.4%,and 1.1%?3.3%,respectively.The developed targeted and non-targeted detection method demonstrated high sensitivity,strong stability,rapid analysis,and an expanded screening range for oxyphenisatin substances,and provided robust technical support for regulatory authorities in combating illegal adulteration.

Background and aims:Metabolic dysfunction-associated fatty liver disease(MAFLD)is a common chronic condition that can lead to cancer due to its complex pathogenesis.Therapeutic agents targeting AMP-activated protein kinase(AMPK)activation have been suggested as potential treatments for metabolic disorders such as metabolic dysfunction-associated steatohepatitis(MASH).Rhizoma Atractylodis Mac-rocephalae(RAM)has been clinically used to treat obesity-related health problems,but its therapeutic effects on MAFLD and the underlying mechanism remain unclear.Therefore,this study was conducted to evaluate the function and underlying mechanism of RAM in the treatment of MAFLD.Methods:The effect of RAM decoction on MAFLD was evaluated using a high-fat diet(HFD)-induced MAFLD mouse model.In vitro studies were conducted using a palmitic acid/oleic acid-induced lipid accumulation model in the alpha mouse liver 12 cells and RAM-containing serum.The underlying mechanisms were elucidated through a combination of network pharmacology analysis,immunohis-tochemistry,western blotting,and polymerase chain reaction analysis.Results:Administration of RAM decoction significantly reduced body weight gain in MAFLD mice without changing food intake.The weights of the liver and inguinal adipose tissues were also reduced after RAM treatment.Additionally,RAM administration decreased serum levels of alanine aminotrans-ferase,aspartate transaminase,total cholesterol,triglyceride,low-density lipoprotein cholesterol,and glucose,while reducing lipid droplet accumulation in the liver tissues of MAFLD mice.The underlying mechanisms included the activation of the phosphorylation of AMPK and acetyl-CoA carboxylase(ACC),and inhibition of the expression of sterol regulatory element binding protein 1(SREBP1).However,RAM did not alter the protein expression levels of peroxisome proliferator-activated receptor α and carnitine palmitoyltransferase-1α.Furthermore,the RAM-induced upregulation of phosphorylated AMPK,phos-phorylated ACC,and SREBP1 expression,as well as the downregulation of fatty acid synthase expression,were reversed by using an AMPK inhibitor.Conclusions:Through a combination of network pharmacology and experimental validation,we demonstrated that RAM may exert therapeutic effects on MAFLD by inhibiting lipid synthesis and activating phosphorylated AMPK pathways.

Objective:To analyze the impact of wound closure in knee flexion versus extension on postoperative outcomes after total knee arthroplasty (TKA).Methods:Randomized controlled trials (RCTs) comparing the effects of knee flexion versus extension wound closure on TKA outcomes were retrieved from databases including CNKI, WanFang Data, Chinese Medical Journal Full-text Database, PubMed, Medline, Cochrane Library, and Embase, from inception to October 1, 2024. Outcome measures include knee range of motion (ROM), Knee Society score (KSS), visual analogue scale (VAS), and incidence of postoperative complications at different time points. Meta-analysis was performed using Stata 18.0. The methodological quality of included RCTs was assessed using the modified Jadad scale. A fixed-effects model was applied when heterogeneity was low, while a random-effects model was used when heterogeneity was high.Results:A total of 467 patients from 7 RCTs were included (233 in flexion group, 234 in extension group). The mean age was 66.4 years in the flexion group and 66.7 years in the extension group, with a follow-up ranging from 1 to 12 months. All studies were of high quality. The meta-analysis revealed that the flexion group had significantly greater knee ROM at 1 month [ WMD=3.72, 95% CI(3.12, 4.33), P<0.001] and 3 months [ WMD=5.31, 95% CI(0.79, 9.84), P=0.020] postoperatively compared to the extension group. At 6 months postoperatively, the flexion group showed significantly higher KSS [ WMD=-1.25, 95% CI(-1.51, -0.99), P<0.001]. No significant differences were found in ROM at 6 months [ WMD=0.89, 95% CI(-0.99, 2.77), P=0.350], VAS at 3 months [ WMD=-0.28, 95% CI(-1.59, -0.03), P=0.075], or complication rates [ RD=0.03, 95% CI(-0.01,0.07), P=0.198]. Conclusion:Wound closure in knee flexion can improve early knee range of motion within 3 months and functional outcomes at 6 months after TKA.

China has become the country with the highest global burden of heart failure(HF).Despite the widespread use of prognostic-improving medications today,the mortality rate of HF remains high,reaching 13.7％at one year-particularly among patients with heart failure with reduced ejection fraction(HFrEF).HF interventional device therapy(structural intervention)targets the structural factors underlying HF,including atrial pressure,ventricular remodeling,and valvular intervention.It leverages the heart's intrinsic physiological properties and pathological progression mechanisms to deliver treatments through interventions without external active forces,achieving anatomical or functional repair.This field has emerged as a rapidly growing area and plays an increasingly critical role in HF management.This article provides a comprehensive review and summary of the latest advancements in HF and cardiomyopathy interventional therapy over the past year.It covers various novel technologies and products currently in the research phase,aiming to provide an in-depth analysis of the current status and future directions of HF interventional therapy,and further advance the development of this discipline.

Objective:To analyze the impact of wound closure in knee flexion versus extension on postoperative outcomes after total knee arthroplasty (TKA).Methods:Randomized controlled trials (RCTs) comparing the effects of knee flexion versus extension wound closure on TKA outcomes were retrieved from databases including CNKI, WanFang Data, Chinese Medical Journal Full-text Database, PubMed, Medline, Cochrane Library, and Embase, from inception to October 1, 2024. Outcome measures include knee range of motion (ROM), Knee Society score (KSS), visual analogue scale (VAS), and incidence of postoperative complications at different time points. Meta-analysis was performed using Stata 18.0. The methodological quality of included RCTs was assessed using the modified Jadad scale. A fixed-effects model was applied when heterogeneity was low, while a random-effects model was used when heterogeneity was high.Results:A total of 467 patients from 7 RCTs were included (233 in flexion group, 234 in extension group). The mean age was 66.4 years in the flexion group and 66.7 years in the extension group, with a follow-up ranging from 1 to 12 months. All studies were of high quality. The meta-analysis revealed that the flexion group had significantly greater knee ROM at 1 month [ WMD=3.72, 95% CI(3.12, 4.33), P<0.001] and 3 months [ WMD=5.31, 95% CI(0.79, 9.84), P=0.020] postoperatively compared to the extension group. At 6 months postoperatively, the flexion group showed significantly higher KSS [ WMD=-1.25, 95% CI(-1.51, -0.99), P<0.001]. No significant differences were found in ROM at 6 months [ WMD=0.89, 95% CI(-0.99, 2.77), P=0.350], VAS at 3 months [ WMD=-0.28, 95% CI(-1.59, -0.03), P=0.075], or complication rates [ RD=0.03, 95% CI(-0.01,0.07), P=0.198]. Conclusion:Wound closure in knee flexion can improve early knee range of motion within 3 months and functional outcomes at 6 months after TKA.

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.