ObjectiveTo investigate the metabolic mechanisms of Limosilactobacillus reuteri （L. reuteri） in alleviating chemotherapy-induced intestinal mucosal injury （CIMI）. MethodsC57BL/6 mice were randomly divided into the Control group， Model group， and L. reuteri treatment group （n=8 per group）. Mice in the L. reuteri group were intragastrically administered L. reuteri （1 × 10⁹ CFU/mL） for 10 consecutive days. From day 5， mice in the Model and L. reuteri groups were intraperitoneally injected with 5-FU （65 mg/kg） for 6 consecutive days to establish a CIMI model. Body weight changes， colon length， and related indicators were recorded. Intestinal histopathological injury was assessed by HE staining with measurement of villus height and crypt depth. The expression levels of zonula occludens-1 （ZO-1）， Occludin， Claudin-4， Muc1， and Muc2 in ileal tissues were determined by RT-qPCR and immunohistochemistry to evaluate intestinal barrier function. In addition， untargeted metabolomics was performed on cecal contents from each group to analyze metabolic profiles and enrichment of differential metabolic pathways. ResultsL. reuteri intervention significantly alleviated body weight loss （P<0.001） and colon shortening （P<0.05） in CIMI mice， effectively reducing ileal tissue pathological damage， and upregulating the expression of ZO-1， Occludin， Claudin4， Muc1， and Muc2 （P<0.05）. Untargeted metabolomics analysis showed that L. reuteri treatment reversed the abnormal metabolic profile in the cecal contents of CIMI mice， bringing it closer to normal. Various differential metabolites， such as acylcarnitines and polyunsaturated fatty acids， might play an important role in L. reuteri-mediated alleviation of CIMI. These differential metabolites were primarily enriched in key pathways such as linoleic acid metabolism， tryptophan metabolism， and unsaturated fatty acid biosynthesis. ConclusionThis study reveals that L. reuteri improves intestinal barrier function and alleviates CIMI by regulating the intestinal metabolic profile， particularly lipid and amino acid metabolism. It provides a novel potential strategy for the prevention and treatment of CIMI.

Objective:To understand the epidemiological characteristics and changing trends of injury-related deaths in local residents in Qingdao from 2014 to 2023, and provide evidence for development of injury prevention and control measures.Methods:The incidence data on fatal injury in residents of Qingdao from 2014 to 2023 were used to describe the epidemiological characteristics of fatal injury by using fatal injury rate, standardized fatal injury rate, proportion, and death order. The average annual percentage change (AAPC) was used to describe the annual change in fatal injury rates, and the trend of fatal injury was analyzed.Results:From 2014 to 2023, a total of 23 533 residents died of injury in Qingdao, with a crude fatal injury rate of 28.74/100 000 and a standardized fatal injury rate of 27.64/100 000. The total fatal injury rate showed a downward trend (AAPC: -5.06%, P<0.05). The top three causes of fatal injury in the residents were road traffic accident (40.85%), suicide (15.80%), and accidental falls (12.92%). In terms of gender specific fatal injury cause, the top one in both men and women was road traffic accident injury. In terms of age specific fatal injury cause, the top one was road traffic accident in the all age groups, except age group 5-14 years with top cause of drowning. From 2014 to 2023, the fatal injury rates of road traffic accident, suicide, and accidental poisoning in the top five fatal injury causes showed a downward trend year by year (AAPC:-7.42%, -6.54%, -13.95%, P<0.05). Conclusions:The fatal injury rate showed a downward trend in the residents in Qingdao from 2014 to 2023. It is necessary to strengthen the prevention and control of road traffic accident injury, suicide, falls in the elderly, and drowning in adolescents.

Objective:To understand the epidemiological characteristics and changing trends of injury-related deaths in local residents in Qingdao from 2014 to 2023, and provide evidence for development of injury prevention and control measures.Methods:The incidence data on fatal injury in residents of Qingdao from 2014 to 2023 were used to describe the epidemiological characteristics of fatal injury by using fatal injury rate, standardized fatal injury rate, proportion, and death order. The average annual percentage change (AAPC) was used to describe the annual change in fatal injury rates, and the trend of fatal injury was analyzed.Results:From 2014 to 2023, a total of 23 533 residents died of injury in Qingdao, with a crude fatal injury rate of 28.74/100 000 and a standardized fatal injury rate of 27.64/100 000. The total fatal injury rate showed a downward trend (AAPC: -5.06%, P<0.05). The top three causes of fatal injury in the residents were road traffic accident (40.85%), suicide (15.80%), and accidental falls (12.92%). In terms of gender specific fatal injury cause, the top one in both men and women was road traffic accident injury. In terms of age specific fatal injury cause, the top one was road traffic accident in the all age groups, except age group 5-14 years with top cause of drowning. From 2014 to 2023, the fatal injury rates of road traffic accident, suicide, and accidental poisoning in the top five fatal injury causes showed a downward trend year by year (AAPC:-7.42%, -6.54%, -13.95%, P<0.05). Conclusions:The fatal injury rate showed a downward trend in the residents in Qingdao from 2014 to 2023. It is necessary to strengthen the prevention and control of road traffic accident injury, suicide, falls in the elderly, and drowning in adolescents.

Patients with advanced pregnancy complicated by acute ST-segment elevation myocardial infarction are relatively rare both domestically and internationally,and there are currently no relevant guidelines to guide clinical treatment.In this case,a 39-year-old pregnant woman was admitted to the hospital with sudden chest pain,and the electrocardiogram showed extensive anterior ST-segment elevation myocardial infarction.Coronary angiography showed subtotal subtotal occlusion of the proximal left anterior descending artery.Reperfusion and revascularization were given,and the blood flow grade of the trial of thrombolytic in myocardial infarction was restored.Complete intravascular ultrasonography to determine the cause of occlusion due to spontaneous hematoma of the left anterior descending artery.After the operation,a reasonable antiplatelet and anticoagulant treatment regimen was selected according to the coronary artery lesion,and the pregnancy was terminated at the appropriate time,and 1 live male baby was successfully delivered.Maternal and fetal health was followed up after 1、3 and 6 months.Through the experience and summary of the treatment process,combined with the literature,the pathogenesis of this disease is discussed,and the strategy of revascularization,the selection of antithrombotic drugs and the timing of pregnancy termination are discussed in depth for clinical reference.

Homo- or heterodimeric compounds that affect dimeric protein function through interaction between monomeric moieties and protein subunits can serve as valuable sources of potent and selective drug candidates. Here, we screened an in-house dimeric natural product collection, and panepocyclinol A (PecA) emerged as a selective and potent STAT3 inhibitor with profound anti-tumor efficacy. Through cross-linking C712/C718 residues in separate STAT3 monomers with two distinct Michael receptors, PecA inhibits STAT3 DNA binding affinity and transcription activity. Molecular dynamics simulation reveals the key conformation changes of STAT3 dimers upon the di-covalent binding with PecA that abolishes its DNA interactions. Furthermore, PecA exhibits high efficacy against anaplastic large T cell lymphoma in vitro and in vivo, especially those with constitutively activated STAT3 or STAT3^Y640F. In summary, our study describes a distinct and effective di-covalent modification for the dimeric compound PecA to disrupt STAT3 function.

Kirsten rat sarcoma viral oncogene homolog (KRAS) protein inhibitors are a promising class of therapeutics, but research on molecules that effectively penetrate the blood-brain barrier (BBB) remains limited, which is crucial for treating central nervous system (CNS) malignancies. Although molecular generation models have recently advanced drug discovery, they often overlook the complexity of biological and chemical factors, leaving room for improvement. In this study, we present a structure-constrained molecular generation workflow designed to optimize lead compounds for both drug efficacy and drug absorption properties. Our approach utilizes a variational autoencoder (VAE) generative model integrated with reinforcement learning for multi-objective optimization. This method specifically aims to enhance BBB permeability (BBBp) while maintaining high-affinity substructures of KRAS inhibitors. To support this, we incorporate a specialized KRAS BBB predictor based on active learning and an affinity predictor employing comparative learning models. Additionally, we introduce two novel metrics, the knowledge-integrated reproduction score (KIRS) and the composite diversity score (CDS), to assess structural performance and biological relevance. Retrospective validation with KRAS inhibitors, AMG510 and MRTX849, demonstrates the framework's effectiveness in optimizing BBBp and highlights its potential for real-world drug development applications. This study provides a robust framework for accelerating the structural enhancement of lead compounds, advancing the drug development process across diverse targets.

Kirsten rat sarcoma viral oncogene homolog(KRAS)protein inhibitors are a promising class of thera-peutics,but research on molecules that effectively penetrate the blood-brain barrier(BBB)remains limited,which is crucial for treating central nervous system(CNS)malignancies.Although molecular generation models have recently advanced drug discovery,they often overlook the complexity of bio-logical and chemical factors,leaving room for improvement.In this study,we present a structure-constrained molecular generation workflow designed to optimize lead compounds for both drug effi-cacy and drug absorption properties.Our approach utilizes a variational autoencoder(VAE)generative model integrated with reinforcement learning for multi-objective optimization.This method specifically aims to enhance BBB permeability(BBBp)while maintaining high-affinity substructures of KRAS in-hibitors.To support this,we incorporate a specialized KRAS BBB predictor based on active learning and an affinity predictor employing comparative learning models.Additionally,we introduce two novel metrics,the knowledge-integrated reproduction score(KIRS)and the composite diversity score(CDS),to assess structural performance and biological relevance.Retrospective validation with KRAS inhibitors,AMG510 and MRTX849,demonstrates the framework's effectiveness in optimizing BBBp and highlights its potential for real-world drug development applications.This study provides a robust framework for accelerating the structural enhancement of lead compounds,advancing the drug development process across diverse targets.

Patients with advanced pregnancy complicated by acute ST-segment elevation myocardial infarction are relatively rare both domestically and internationally,and there are currently no relevant guidelines to guide clinical treatment.In this case,a 39-year-old pregnant woman was admitted to the hospital with sudden chest pain,and the electrocardiogram showed extensive anterior ST-segment elevation myocardial infarction.Coronary angiography showed subtotal subtotal occlusion of the proximal left anterior descending artery.Reperfusion and revascularization were given,and the blood flow grade of the trial of thrombolytic in myocardial infarction was restored.Complete intravascular ultrasonography to determine the cause of occlusion due to spontaneous hematoma of the left anterior descending artery.After the operation,a reasonable antiplatelet and anticoagulant treatment regimen was selected according to the coronary artery lesion,and the pregnancy was terminated at the appropriate time,and 1 live male baby was successfully delivered.Maternal and fetal health was followed up after 1、3 and 6 months.Through the experience and summary of the treatment process,combined with the literature,the pathogenesis of this disease is discussed,and the strategy of revascularization,the selection of antithrombotic drugs and the timing of pregnancy termination are discussed in depth for clinical reference.

Objective To establish a sensitive,accurate and simple method for the determination of methotrexate and methotrexate polyglutamates(MTXPG2 and MTXPG3)in human erythrocytes.Methods A dual three element gradient liquid chromatograph with a fluorescence detector was used,the C18-WP column(20 mm ×4 mm,5μm)was used as the online SPE column,and the Athena C18-WP column(150 mm x4.6 mm,3 μm)was used as the analytical column.Erythrocyte lysate was precipitated with zinc sulphate-10％formic acid methanol(100:90,v/v),and postcolumn photo-oxidation of MTXPGs to fluorescent analytes using H2O2.The fluorescence excitation wavelength was 274 nm,the emission wavelength was 470 nm,the column temperature was 40 ℃,and the injection volume was 100 μL.The specificity,standard curve,lower limit of quantitation,precision,recovery and stability of the method were investigated.Results MTX,MTXPG2 and MTXPG3 had good linearity in the range of 12.5-400.0 nmol·L-1.The standard curve of MTX was y=763.8x-2 961.1(R2=0.999 5),and the extraction recovery rate was 60.7％-66.1％;the standard curve of MTXPG2 was y=1 017.8x-239.8(R2=0.998 4),and the extraction recovery rate was 67.2％-67.3％;the standard curve of MTXPG3 was y=1 069.1x-819.6(R2=0.999 4),the extraction recovery rate was 62.9％-70.1％.Intra-day precision RSD＜8.8％,inter-day precision RSD＜10.8％.Conclusion This method is accurate and reproducibility,and the online solid-phose extraction enrichment and separation of target compounds simplify the sample pretreatment steps,improve the analysis efficiency,and is suitable for detecting the concentration of MTX,MTXPG2 and MTXPG3 in erythrocytes of patients with rheumatoid arthritis.