Osteoporosis is a common senile bone metabolism disease， clinically characterized by decreased bone mass， destruction of bone microstructure， increased bone fragility， and easy fracture. It tends to occur in the elderly and postmenopausal women， seriously threatening the quality of life and physical and mental health of the elderly. At present， the treatment of osteoporosis is mainly based on oral western medicines， such as calcium， Vitamin D， and bisphosphonates. Still， there are drawbacks such as a long medication cycle and many adverse reactions. In recent years， due to the advantages of multi-component， multi-pathway， and multi-target， some traditional Chinese medicines and effective ingredients can regulate the osteogenic and osteoclastic differentiation process in both directions and are widely used in the prevention and treatment of osteoporosis. Hippophae rhamnoides is a commonly used herbal medicine， and its fruits are rich in flavonoids， polyphenols， fatty acids， vitamins， and trace elements， which have been proven to have a good anti-osteoporosis effect. Isorhamnetin is the main effective ingredient of Hippophae rhamnoides fruits， which has many pharmacological effects such as anti-inflammation， anti-oxidative stress， anti-aging， and anti-tumor. Studies have shown that isorhamnetin can participate in the regulation of bone metabolism and has a good anti-osteoporosis effect. However， the pharmacological effects and related mechanisms of isorhamnetin against osteoporosis have not been systematically summarized. Therefore， this paper reviewed the pharmacological effects and related mechanisms of isorhamnetin against osteoporosis by referring to relevant literature to provide more basis for the development and application of isorhamnetin.

Accurate prediction of drug responses in cancer cell lines(CCLs)and transferable prediction of clinical drug responses using CCLs are two major tasks in personalized medicine.Despite the rapid advancements in existing computational methods for preclinical and clinical cancer drug response(CDR)prediction,chal-lenges remain regarding the generalization of new drugs that are unseen in the training set.Herein,we propose a multimodal fusion deep learning(DL)model called drug-target and single-cell language based CDR(DTLCDR)to predict preclinical and clinical CDRs.The model integrates chemical descriptors,mo-lecular graph representations,predicted protein target profiles of drugs,and cell line expression profiles with general knowledge from single cells.Among these features,a well-trained drug-target interaction(DTI)prediction model is used to generate target profiles of drugs,and a pretrained single-cell language model is integrated to provide general genomic knowledge.Comparison experiments on the cell line drug sensitivity dataset demonstrated that DTLCDR exhibited improved generalizability and robustness in predicting unseen drugs compared with previous state-of-the-art baseline methods.Further ablation studies verified the effectiveness of each component of our model,highlighting the significant contribution of target information to generalizability.Subsequently,the ability of DTLCDR to predict novel molecules was validated through in vitro cell experiments,demonstrating its potential for real-world applications.Moreover,DTLCDR was transferred to the clinical datasets,demonstrating satisfactory performance in the clinical data,regardless of whether the drugs were included in the cell line dataset.Overall,our results suggest that the DTLCDR is a promising tool for personalized drug discovery.

Objective:To explore the movement patterns and factors influencing lung tumors tracked using the M6 cyberknife stereotactic radiotherapy(SRT)system and to provide a reference for the implementation of precise stereotactic radiotherapy for lung tumors.Method:A retrospective analysis was conducted on 29 patients with lung tumors who were treated using x-sight lung tracking technology and the M6 cyberknife SRT system at Tianjin Medical University Cancer Institute&Hospital,from January 2022 to August 2024.The tumor location and volume,irradiation dose,isodose line,and number of divisions were recorded.Lung tumor location and SPSS 26.0 software were used to analyze the movement amplitude of tumors in the left and right(LFT/RGT,LR)directions,the anterior-posterior(ANT/POS,AP)direction,and the superior-inferior(SUP/INF,SI)direction.The results are expressed as the mean±standard deviation((x)±s)mm,and a t-test was used for inter-group comparisons.Multiple linear regression was used to analyze the effects of factors such as age,gender,tumor location(upper and lower lungs),and tumor volume on the amplitudes of the lung tumor movements.Result:The average motion amplitudes in the LR direc-tions,AP direction,and SI direction of the tumor target areas were(3.5±1.8)mm,(5.3±1.7)mm,and(7.3±5.4)mm for the upper lung,based on 19 cases,and(3.1±1.6)mm,(4.5±2.2)mm,and(12.2±4.4)mm for the lower lung,based on 10 cases,respectively.There was a statistic-ally significant difference(P=0.015 3)in the amplitude of movements between the lower and upper lung tumors in the SI direction.The lung tumor movement amplitude in the SI direction was influenced by tumor location(P=0.035),and the movement amplitudes in the LR direc-tions and the AP direction were not related to factors such as gender,age,tumor location,and tumor volume.Conclusions:The lung tumor movement amplitudes for the different locations varied depending on the respiratory movement shown by the patient.In the SI direction,the movement amplitude of the lower lung tumors was greater than that of upper lung tumors,and this was due to tumor location effects.The movement amplitudes of the lower and upper lung tumors were similar in the LR directions and AP directions.Furthermore,movement amplitude was not affected by gender,age,tumor location,and tumor volume.

Aim To explore the relationship between serum levels of proprotein convertase subtilisin/kexin type 9(PCSK9),macrophage migration inhibitory factor(MIF)and the severity of coronary artery lesions in patients with coro-nary heart disease(CHD).Methods A cross-sectional study was conducted involving 139 patients with CHD and 69 control subjects who underwent coronary angiography during the same period,all of whom were admitted to the People's Hospital of Xinjiang Uygur Autonomous Region from November 2023 to May 2024.Clinical data and coronary angiography results were collected,and the severity of coronary artery stenosis was quantitatively assessed using the Gensini score.Pa-tients with the Gensini scores＞0 were classified into three groups based on tertiles:the mild stenosis group(1～18 points,54 cases),the moderate stenosis group(19～36 points,54 cases),and the severe stenosis group(＞36 points,54 ca-ses).Serum levels of PCSK9 and MIF were measured by ELISA kit.Results Serum levels of PCSK9 and MIF were significantly higher in the CHD group than those in the control group(P＜0.05).Multivariable Logistic regression analy-sis revealed that high levels of serum PCSK9 and MIF were independent risk factors for CHD.Spearman correlation analy-sis showed that serum PCSK9 and MIF levels were positively correlated with Gensini score(rs=0.619 6 and r,=0.411 4,both P＜0.001).Further subgroup analysis showed that serum total cholesterol and low density lipoprotein cholesterol lev-els were significantly increased in patients with high-level PCSK9,while patients with high-level MIF had higher inflamma-tory coefficients such as systemic inflammatory response index(SIRI)and systemic immune-inflammation index(SII)(all P＜0.05).Conclusion Serum levels of PCSK9 and MIF are positively correlated with the severity of coronary artery stenosis.High levels of serum PCSK9 and MIF are independent risk factors for CHD.

In order to explore the effect of PGD2/DP1 receptor pathway on the expression of cyto-kines and injury-related factors in Escherichia coli(E.coli)induced bovine bone marrow derived macrophages,an in vitro model of E.coli induced bovine bone marrow derived macrophages was established.The effects of DP1 receptor agonist on phagocytosis and killing ability,mRNA expres-sion,secretion of pro-inflammatory cytokines(TNF-α,IL-1β)and activation of signaling pathway(MAPK,NF-κB)in cow bone marrow derived macrophages induced by E.coli were examined.The results showed that compared with the E.coli infection group,the phagocytosis and killing ability of BW-245C+E.coli group and 15 d-PGJ2+E.coli group were enhanced(P＜0.01).Compared with the blank control group,mRNA expression was at a higher level(P＜0.001),and the secre-tion of pro-inflammatory cytokines(TNF-α,IL-1β)was significantly increased after adding E.coli solution.The mRNA expression of BW-245C+E.coli group and 15 d-PGJ2+E.coli group were significantly decreased(P＜0.001),and the secretion of pro-inflammatory cytokines(TNF-α,IL-1β)was significantly decreased(P＜0.001).and signaling pathway(MAPK,NF-κB)were sig-nificantly down-regulated(P＜0.001).This study showed that DP1receptor agonist plays an inhib-itory role in the inflammatory response of cow bone marrow-derived macrophages induced by E.coli.This finding provides a potential target for future treatment of cow endometritis,laying the foundation for the development of novel anti-inflammatory treatment strategies.

Objective:To explore and summarize the key points and main treatment measures for successfully treating sever Rickettsia japonica infection. Methods:A 69-year-old female with severe Japanese spotted fever was admitted to Yichang Central People’s Hospital on May 15 in 2024 and was successfully treated. The clinical data of the patient were retrospectively analyzed.Results:The patient was quickly progressed to severe pneumonia，septic shock，dry gangrene of the extremities during the treatment process，and hepatic dysfunction，cardiac dysfunction，renal dysfunction and gastrointestinal hemorrhage were observed. After active anti-infection，anti-shock，continuous renal replacement therapy，and symptomatic supportive treatment，the patient’s condition improved，but the dry gangrene of the limbs was irreversible，ultimately leading to amputation.Conclusion:Timely diagnosis，early and active anti infective treatment，and effective management of various complications are the key to successfully treating cases of Ricketttsia Japonica

As the cornerstone of modern medical diagnosis,pathology is facing multiple challenges such as workforce shortages,strong diagnostic subjectivity,and inefficient workflows.With advantages in image recognition,pattern analysis,and big data processing,artificial intelligence(AI)is increasingly being integrated into the field of pathological diagnosis,driving its transition toward digitization and intelligence.This article systematically reviews the development of AI in pathology,from early supervised learning validation to weakly supervised learning overcoming annotation bottlenecks,and the recent rise of self-supervised and multimodal foundation models.It demonstrates the broad applications of AI in improving diagnostic consistency,optimizing workflows,and predicting molecular features and prognoses.AI not only enhances the objectivity and efficiency of pathological diagnosis but also promotes the development of emerging interdisciplinary fields such as computational pathomics,providing strong support for precision medicine.Although challenges such as data standardization and regulatory approval remain in clinical implementation,the deep integration of AI and pathology is ushering in a new era of human-machine collaboration and intelligent diagnostics.

Objective:To investigate the drug resistance gene characteristics, plasmid characteristics and genome tracing of Shigella sonnei causing a bacillary dysentery outbreak in Shandong Province. Methods:Sixty-five Shigella sonnei strains isolated from a 2021 outbreak in a county of Shandong Province were analyzed using antimicrobial susceptibility testing, whole genome sequencing (WGS), characterization of resistance and virulence genes, plasmid profiling, core genome multilocus sequence typing (cgMLST), and single nucleotide polymorphism (SNP) analysis. Results:All isolates had the same resistance phenotype and genotypes and were multidrug-resistant ESBL-producing Shigella sonnei, carrying important virulence genes. Plasmid analysis revealed a conserved genetic arrangement, pil( M/ N/ O2/ P)-tra( F/ H/ J/ K/ N/ O/ P/ Q)-IS Ecp1- blaCTX-M-14-Tn 903- yub( J/ I/ F/ G/ E/ D), and shared across strains from diverse regions and bacterial species. The cgMLST and SNP analyses demonstrated concordant clustering, with all 65 outbreak-related strains forming a single cluster alongside human-derived strains from Guangxi. Conclusion:The ESBL-producing Shigella sonnei responsible for the outbreak shares a homologous relationship with Guangxi human-derived strains, and the detected resistance plasmids and virulence genes underscore the need to strengthen drug resistance surveillance and genome tracing.

Objective:To observe the effect of isokinetic sensorimotor training on the hand function of stroke survivors.Methods:Forty-two stroke survivors with hand dysfunction were randomly divided into an isokinetic group of 22 and a control group of 20. Both groups were given sensorimotor training in addition to routine drug treatment and rehabilitation therapy, but the isokinetic group was additionally provided with sensorimotor training based on isokinetic techniques for 45 minutes daily, 5 days a week for 4 consecutive weeks. Before and after the intervention, both groups were evaluated using the Semmes-Weinstein monofilament examination (SWME), their two-point discrimination (2-PD) was documented, proprioception of their wrist joints was quantified, and the Fugl-Meyer upper extremity assessment (FMA-UE) and the simplified upper limb function assessment (STEF) were applied.Results:In both groups after treatment, there was a significant improvement in the SWME scores and 2-PD distance of the index finger and the thenar, and there was a significant decrease in the angle of motion perception (at 30° of flexion). The average FMA-UE and STEF scores of both groups had improved. After the treatment, the SWME scores of the index finger and the thenar, as well as well as the average FMA-UE and STEF scores of the isokinetic group were significantly higher than the control group′s averages. Angle of motion perception was also significantly superior.Conclusions:Sensorimotor training based on isokinetic techniques can significantly improve touch, motion sense, gross motor function and the fine motor ability of stroke survivors.

Objective:To explore the association between uric acid and new-onset chronic kidney disease (CKD) in middle-aged and elderly hypertensive patients.Methods:This was a retrospective cohort study. Middle-aged and elderly hypertensive patients who had attended at least two annual health examinations at Yongshun Community Health Service Center in Tongzhou District, Beijing, from June 2016 to December 2020 were enrolled. The time interval between the two physical examinations was three years. The first physical examination time served as the baseline, and the second as the end of follow-up. Based on the uric acid level at baseline, the participants were divided into the normal uric acid group and the hyperuricemia group. The relevant clinical data of the participants were collected. The endpoint of the study was new-onset CKD. A multivariate logistic regression model was used to analyze the association between uric acid and new-onset CKD in hypertensive patients.Results:A total of 2 472 middle-aged and elderly hypertensive patients with an average age of (62.43±7.02) years were included. Of these, 733(29.7%) were male. There were 710 patients with hyperuricemia (hyperuricemia group) and 1 762 patients with normal uric acid levels (normal uric acid group).After adjusting for age, sex, body mass index (BMI), systolic blood pressure, diabetes mellitus, estimated glomerular filtration rate (eGFR), and uric acid-lowering treatment, multivariate logistic regression analysis showed that combined with hyperuricemia was an independent risk factor for new-onset CKD in middle-aged and elderly hypertensive patients ( OR=3.00, 95% CI: 1.87-4.80, P<0.001). The results of multivariate logistic analysis showed that elevated uric acid level was an independent risk factor for new-onset CKD in both male and female middle-aged and elderly hypertensive patients (both P<0.05), and there was no sex interaction ( P for interactio n>0.05). The results of multivariate logistic analysis showed that the combination of asymptomatic hyperuricemia was an independent risk factor for new-onset CKD in middle-aged and elderly hypertensive patients ( OR=3.00, 95% CI: 1.87-4.80, P<0.001), and there was no gender interaction ( P for interactio n>0.05). Conclusions:Hyperuricemia is an independent risk factor for new-onset CKD in middle-aged and elderly hypertensive patients, and elevated uric acid levels increase the risk of new-onset CKD in both male and female patients. Moreover, asymptomatic hyperuricemia may increase the risk of new-onset CKD.