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.

ObjectiveTo investigate the distribution of traditional Chinese medicine （TCM） syndrome elements in type 2 diabetes mellitus （T2DM） patients based on maximum body mass index （maxBMI） and explore their association with complication risks. MethodsA retrospective cross-sectional study was used to collect clinical data from hospitalized T2DM patients， extracting age， gender， smoking history， alcohol consumption history， duration of disease， HbA1c level， complications， and TCM syndromes， and extracting the syndrome elements of disease location and disease nature based on their TCM syndromes. MaxBMI was calculated by telephone survey of patients' self-reported maximum body weight； patients with maxBMI ≥24 kg/m² were classified into spleen-heat syndrome group， and those with maxBMI ＜24 kg/m² were classified into consumptive-heat syndrome group. The distribution of TCM syndrome types and syndrome elements of patients in the two groups were analysed. Then the propensity score matching method was used to balance the baseline characteristics between the two groups and compare the differences in the distribution of syndrome types and syndrome elements and the risk of macrovascular and microvascular complications between the two groups. ResultsAmong the 1178 T2DM patients， syndrome elements in spleen-heat patients （1034 cases） were primarily located in the spleen （351 cases， 33.95%）， liver （240 cases， 23.21%）， and stomach （139 cases， 13.44%）， while in consumptive-heat patients （144 cases）， they were concentrated in the spleen （57 cases， 39.58%）， liver （34 cases， 23.61%）， and kidneys （17 cases， 11.81%）； regarding syndrome elements of disease nature， spleen-heat patients were predominantly characterized by qi deficiency （481 cases， 46.52%）， phlegm （353 cases， 22.73%）， and dampness （241 cases， 23.31%）， whereas consumptive-heat patients showed more qi deficiency （84 cases， 58.33%） and yin deficiency （44 cases， 30.56%）. After propensity score matching， 132 cases were included in each group， and no statistically significant differences were observed in the distribution of syndrome elements of disease location between the two groups （P＞0.05）， but the phlegm element was significantly more prevalent in spleen-heat patients than in consumptive-heat patients （P = 0.006）. Regarding the risk of complications， spleen-heat patients had a significantly higher risk of developing macrovascular complications compared to consumptive-heat patients （OR=2.04， P=0.010）， while no significant differences were found between groups in the occurrence of microvascular complications （P＞0.05）. ConclusionThe spleen-heat T2DM patients show a more frequent syndrome element of disease nature of phlegm， and a higher risk of developing macrovascular complications compared to consumptive-heat patients.

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, challenges 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, molecular 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.

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 identify co-expressed genes and potential comorbidity mechanisms between Alzheimer's disease(AD)and epilepsy with publicly available single-cell transcriptome sequencing data from human brains,fol-lowed by functional validation in APP/PS1 double transgenic AD mouse models expressing the chimerical Mo/HuAPP695swe amyloid precursor protein and mutant PS1-dE9 presenilin 1.Methods The single-cell transcriptome sequencing data of brain tissue from AD and epilepsy patients were collected from gene expression omnibus(GEO)database followed by cell clustering,differential expression analysis and gene ontology(GO)func-tional enrichment analysis using R-based tools such as Seurat and cluster Profiler and video electroencephalogram (vEEG)monitoring and Western blot experiments.Results A total of eight major brain cell types were identified,with neurons and glial cells exhibiting shared differentially expressed genes between AD and epilepsy.These co-ex-pressed genes were significantly clustered in pathways related to metal ion homeostasis,synaptic transmission,oxi-dative stress,and immune activation,which suggested common pathological mechanisms involving in synaptic dys-function and neuro-inflammation in both disorders.The vEEG recordings of APP/PS1 mouse model of AD showed 30％of mice exhibited high-frequency epileptic seizures,while 70％showed low-frequency seizure activity.Subse-quent validation in the prefrontal cortex of AD mice confirmed up-regulated expression of key molecular markers(HES5,c-FOS,and RPL10A)identified through single-cell sequencing analysis.Conclusions AD and epilepsy share gene co-expression profiles and functional pathways in specific cell types.The results of research provide a theoretical support for further elucidating their comorbidity mechanisms and developing targeted therapeutic strategy.

Background Salidroside (SAL) has a protective effect on multiple organ systems. Exposure to fine particulate matter (PM_2.5) in the atmosphere may lead to disruptions in gut microbiota and impact intestinal health. The regulatory effect of SAL on the gut microbiota of mice exposed to PM_2.5 requires further investigation. Objective To evaluate gut microbiota disruption in mice after being exposed to PM_2.5 and the potential effect of SAL. Methods Forty male C57BL/6 mice, aged 6 to 8 weeks, were randomly divided into four groups: a control group, an SAL group, a PM_2.5 group, and an SAL+PM_2.5 group, each containing 10 mice. In the SAL group and the SAL+PM_2.5 group, the mice were administered SAL (60 mg·kg⁻¹) by gavage, while in the control group and the PM_2.5 group, sterile saline (10 mL·kg⁻¹) was administered by gavage. In the PM_2.5 group and the SAL+PM_2.5 group, PM_2.5 suspension (8 mg·kg⁻¹) was intratracheally instilled, and in the control group and SAL group, sterile saline (1.5 mL·kg⁻¹) was intratracheally administered. Each experiment cycle spanned 2 d, with a total of 10 cycles conducted over 20 d. Histopathological changes in the ileum tissue of the mice were observed after HE staining. Colon contents were collected for gut microbiota sequencing and short-chain fatty acids (SCFAs) measurements. Results The PM_2.5 group showed infiltration of inflammatory cells in the ileum tissue, while the SAL+PM_2.5 group exhibited only a small amount of inflammatory cell infiltration. Compared to the control group, the PM_2.5 group showed decreased Shannon index (P<0.05) and increased Simpson index (P<0.05), indicating that the diversity of gut microbiota in this group was decreased; the SAL+PM_2.5 group showed increased Shannon index compared to the PM_2.5 group (P<0.05) and decreased Simpson index (P<0.05), indicating that the diversity of gut microbiota in mice intervened with SAL was increased. The principal coordinates analysis (PCoA) revealed a significant separation between the PM_2.5 group and the control group, while the separation trend was less evident among the control group, the SAL group, and the SAL+PM_2.5 group. The unweighted pair-group method with arithmetic means (UPGMA) clustering tree results showed that the control group and the SAL group clustered together first, followed by clustering with the SAL+PM_2.5 group, and finally, the three groups clustered with the PM_2.5 group. The PCoA and UPGMA clustering results indicated that the uniformity and similarity of the microbiota in the PM_2.5 group were significantly decreased. Compared to the control group, the PM_2.5 group showed decreased abundance of phylum Bacteroidetes and Candidatus_Saccharimonas (P<0.05) and increased abundance of phylum Proteobacteria, genus Escherichia, genus Bacteroides, genus Prevotella, genus Enterococcus, and genus Proteus (P<0.05). Compared to the PM_2.5 group, the SAL+PM_2.5 group showed decreased abundance of phylum Proteobacteria, phylum Actinobacteria, genus Prevotella, and genus Proteus (P<0.05), and increased abundance of Candidatus_Saccharimonas (P<0.05). The PM_2.5 group showed reduced levels of propionic acid, valeric acid, and hexanoic acid compared to the control group (P<0.05), while the SAL+PM_2.5 group showed increased levels of propionic acid, isobutyric acid, butyric acid, valeric acid, and hexanoic acid compared to the PM_2.5 group (P<0.05). Conclusion Exposure to PM_2.5 can cause pathological alterations, microbial dysbiosis, and disturbing production of SCFAs in intestinal tissue in mice. However, SAL can provide a certain degree of protective effect against these changes.

Objective To investigate the effect and mechanism of long chain non-coding RNA(ln-cRNA)SNHG16 regulating PAR1 on the proliferation,migration and invasion of lung cancer.Methods From March 2020 to August 2021,lung cancer tissues and adjacent tissues of 35 patients with lung cancer were col-lected,and lung cancer cell lines(HCC827,A549,SK-LU-1,A427)and normal lung cell lines(MRC5)were simultaneously cultured.The overexpression model of PAR1(pcDNA-PAR1)was constructed by using the expression vector pcDNA3.1.A549 cells were divided into four groups after transfection:si-SNHG16,si-PAR1,si-SNHG16+pcDNA-PAR1 and control(transfection with si-NC).The expression levels of lncRNA SNHG16 and PAR1 in lung cancer cell lines(HCC827,A549,SK-LU-1,A427),lung cancer tissues and adja-cent tissues were detected by real-time fluorescence quantitative reverse transcription-polymerase chain reac-tion(qRT-PCR),and the transfection efficiency of each group was verified.MTT assay and clonal formation were used to determine the proliferation of cells in each group,flow cytometry was used to detect the apopto-sis of cells in each group,cell scratch and Transwell test were used to detect the migration and invasion ability of cells in each group,and Western blot was used to detect the protein expression of PAR1.Results The ex-pression level of lncRNA SNHG16 in lung cancer tissue was higher than that in adjacent tissues(P＜0.05).The expression level of lncRNA SNHG16 in lung cancer cell lines(HCC827,A549,SK-LU-1,A427)was higher than that in normal lung cell lines(MRC5),with statistical significance(P＜0.05).The results of qRT-PCR showed that the expression level of lncRNA SNHG16 gene was(21.02±0.04)％of the control af-ter transfection of si-SNHG16,the expression level of PAR1 gene was(19.06±0.02)％of the control after transfection of si-PAR1,and the expression level of PAR1 gene was 2.70±0.00 folds of the control after transfection of pcDNA-PAR 1,the difference was statistically significant(P＜0.05).The results of Western blot showed that the expression level of transfected in each PAR1 protein was different from that of the con-trol(P＜0.05).Compared with the control,the activity of cells transfected with si-SNHG16 was lower,the a-bility of clone formation,cell migration and invasion was obviously inhibited,and the apoptosis rate was higher(P＜0.05),while pcDNA-PAR1 could weaken the influence of transfected si-SNHG16 on cell proliferation,apoptosis,migration and invasion(P＜0.05).lncRNA SNHG16 was positively correlated with the expression level of PAR1(r=0.61).Conclusion lncRNA SNHG16 can regulate the occurrence and development of lung cancer by targeting PAR1.

Objective:To investigate the pathogenic mechanism and clinical characteristics of the novel splicing variant of ATP-binding cassette subfamily B member 4 (ABCB4) and provide a basis for subsequent genetic diagnosis.Methods:The clinical data of a 5-year-old child with cholestatic liver disease admitted to the Beijing Children′s Hospital of Capital Medical University was retrospectively analyzed. The pathogenic variations were detected by whole exome sequencing and verified by Sanger sequencing, and bioinformatics was used to predict the pathogenicity of the mutation sites. Possible pathogenic variations were verified in vitro by Minigene assay. The clinical outcome was followed after discharge from hospital.Results:The 5-year-old boy had developed cholestasis at the age of 11 months. His physical examination showed obvious enlargement of the liver and spleen. Cholestatic cirrhosis was diagnosed by liver function tests, abdominal ultrasonography, liver biopsy and pathology. The results of genetic analysis showed that the patient was a complex heterozygote of the ABCB4 gene, with a pathogenic mutation c.2860G>A and a novel mutation c.2065-8T>G, derived from the mother and father respectively. The conservative prediction of the c.2065-8T>G site showed that this region was highly conserved and may affect splicing. Minigene assay results confirmed that the c.2065-8T>G mutation resulted in a 7 bp retention of intron 16 in the mature mRNA. In the absence of nonsense-mediated mRNA decay, the amino acid frameshift forms a truncated protein, which is represented by p.Glu689ValfsTer19. The patient was diagnosed as progressive familial intrahepatic cholestasis type 3 (PFIC3) and treated with ursodeoxycholic acid (UDCA). His clinical symptoms improved during 18 months of follow-up.Conclusions:The c.2065-8T>G variant is confirmed to affect the splicing process and exhibits complex heterozygosity with c.2860G>A, which is identified as the cause of the disease. PFIC3 children with this variant showed cholestatic liver disease as the main manifestation with a slow progression and was sensitive to treatment with UDCA.

This article explores the application of Professor Zhou Zhongying's"focus on the core pathogenesis"concept in the con-text of epidemic hemorrhagic fever and examines how Academician Tong Xiaolin has inherited and developed Professor Zhou's experi-ences.Influenced by Professor Zhou Zhongying's academic thoughts and considering the contemporary context,Academician Tong Xia-olin,drawing on years of clinical experience,has proposed a new set of Nineteen Pathogenic Factors.Building upon the foundation of the Nineteen Pathogenic Factors in the The Yellow Emperor's Inner Classic,this new framework enriches and expands the understanding of disease location,etiology and pathogenesis,disease classification,and pays attention to a comprehensive understanding of diseases.It emphasizes that the process of seeking the underlying mechanisms should be approached from three aspects:dynamic,state,and condition,rather than solely focusing on the immediate clinical manifestations.This comprehensive approach to understand-ing disease development offers a fresh perspective and contributes to the application of traditional Chinese Medicine in the diagnosis and treatment of modern diseases.

The article presents the diagnosis and treatment of an imported case with severe Plasmodium falciparum malaria, and the effect of plasma exchange combined with continuous renal replacement therapy. Severe P. falciparum malaria is characterized by complex clinical symptoms and multiple complications, and plasma exchange combined with continuous renal replacement therapy has a satisfactory therapeutic efficacy for severe P. falciparum malaria.