Osteoporosis is a systemic disease, and epidemiological projections indicate that by 2050, approximately 23.43% of the Chinese population over 50 years of age will be affected. Given the poor prognosis associated with osteoporosis, the exploration of safe and effective natural products is of considerable significance. Studies investigating the chemical constituents of traditional Chinese medicine in cellular and/or animal models have demonstrated bone-protective effects. Although most of these compounds lack clinical data, they hold considerable potential as lead candidates for drug development. In-depth study of the structure-activity relationship of these natural products not only contributes to elucidating the mechanisms of action but also provides a theoretical basis for the development of novel antiosteoporosis therapies. This review summarizes natural products with potential antiosteoporotic effects reported between 2020 and 2024. Overall, plant-derived natural compounds exhibit antiosteoporotic effects by regulating bone remodeling, inflammation, and oxidative stress, highlighting their promise as multitarget therapeutic candidates.

The classic formula Mulisan is the 45th of the 93 formulas in the Catalogue of Ancient Classic Formulas （second batch） of Han medicine published by the National Administration of Traditional Chinese Medicine. It consists of Ostreae Concha， Astragali Radix， Ephedrae Radix et Rhizoma， and wheat， with the effect of replenishing qi and stopping sweating. It is a common formula in the clinical treatment with traditional Chinese medicine. This study analyzes the historical evolution， composition， dosage， original plants and their processing methods， decocting method， efficacy， indications， and modern clinical application of Mulisan by tracing， comparative analysis， and bibliometric methods. The results showed that Mulisan firstly appeared in the Pulse Classic written by WANG Shuhe in the Western Jin Dynasty. The formulation idea can be traced back to the Important Prescriptions Worth a Thousand Gold for Emergency in the Tang Dynasty. The herb composition， dosage， efficacy， and indications of Mulisan were first recorded in the Treatise on Diseases， Patterns， and formulas Related to Unification of the Three Etiologies in the Southern Song dynasty. In terms of original plants and their processing methods， Ostreae Concha is the shell of Ostrea rivularis， which should be calcined before use. Astragali Radix and Ephedrae Radix et Rhizoma are the dried roots of Astragalus membranaceus var. mongholicus and Ephedra sinica， respectively， the raw material of which should be used. Wheat is the dried mature fruit of T. aestivum， which can be used without processing， while the stir-fried fruit， being thin and deflated， demonstrates better effect. The composition of Mulisan is Ostreae Concha 8.26 g， Astragali Radix 8.26 g， Ephedrae Radix et Rhizoma 8.26 g， and wheat 7.92 g. The medicinal materials should be ground into coarse powder and decocted with 450 mL water to reach a volume of 240 mL， and the decoction should be taken warm. In modern clinical practice， Mulisan has a wide range of indications， including spontaneous sweating and night sweating caused by Yang deficiency or Qi deficiency. The clinical disease spectrum treated by Mulisan involves endocrine system diseases， neurological diseases， respiratory system diseases， and cancer. This formula plays a significant role in the treatment of internal medicine diseases in traditional Chinese medicine. This study aims to provide a scientific basis for the subsequent research， development， and clinical application of Mulisan.

The classic formula Mulisan is the 45th of the 93 formulas in the Catalogue of Ancient Classic Formulas （second batch） of Han medicine published by the National Administration of Traditional Chinese Medicine. It consists of Ostreae Concha， Astragali Radix， Ephedrae Radix et Rhizoma， and wheat， with the effect of replenishing qi and stopping sweating. It is a common formula in the clinical treatment with traditional Chinese medicine. This study analyzes the historical evolution， composition， dosage， original plants and their processing methods， decocting method， efficacy， indications， and modern clinical application of Mulisan by tracing， comparative analysis， and bibliometric methods. The results showed that Mulisan firstly appeared in the Pulse Classic written by WANG Shuhe in the Western Jin Dynasty. The formulation idea can be traced back to the Important Prescriptions Worth a Thousand Gold for Emergency in the Tang Dynasty. The herb composition， dosage， efficacy， and indications of Mulisan were first recorded in the Treatise on Diseases， Patterns， and formulas Related to Unification of the Three Etiologies in the Southern Song dynasty. In terms of original plants and their processing methods， Ostreae Concha is the shell of Ostrea rivularis， which should be calcined before use. Astragali Radix and Ephedrae Radix et Rhizoma are the dried roots of Astragalus membranaceus var. mongholicus and Ephedra sinica， respectively， the raw material of which should be used. Wheat is the dried mature fruit of T. aestivum， which can be used without processing， while the stir-fried fruit， being thin and deflated， demonstrates better effect. The composition of Mulisan is Ostreae Concha 8.26 g， Astragali Radix 8.26 g， Ephedrae Radix et Rhizoma 8.26 g， and wheat 7.92 g. The medicinal materials should be ground into coarse powder and decocted with 450 mL water to reach a volume of 240 mL， and the decoction should be taken warm. In modern clinical practice， Mulisan has a wide range of indications， including spontaneous sweating and night sweating caused by Yang deficiency or Qi deficiency. The clinical disease spectrum treated by Mulisan involves endocrine system diseases， neurological diseases， respiratory system diseases， and cancer. This formula plays a significant role in the treatment of internal medicine diseases in traditional Chinese medicine. This study aims to provide a scientific basis for the subsequent research， development， and clinical application of Mulisan.

Objective: To compare the transcriptomic profiles between three distinct metabolic dysfunction⁃associat⁃mal murine model that more closely resembles human MASH progression . Methods: Forty 8 ⁃week⁃old male C57BL/6J mice were randomly assigned to either a control group fed normal chow diet ( NCD) or one of three MASH model groups receiving high⁃fat high⁃cholesterol diet (HFHCD) , choline⁃deficient high⁃fat diet (CDHFD) ,from three randomly selected mice per group were collected for mRNA sequencing ( mRNA⁃seq) analysis . Mean⁃bases . Overlap of functional profiles was analyzed by gene set enrichment analysis (GSEA) profiles to compare the mouse transcriptome with that of human patients at different stages of the disease . Additionally , Pearson ′s correla⁃tion analysis was used to explore the correlation between gene expression of murine models and human MASH . Results: Seven commonly up⁃regulated genes (Col1a1 , Smoc2 , Col6a1 , Gpx3 , Col16a1 , Spp1 and Crtap) were de⁃ways involving steatosis , hepatocellular injury and fibrosis were detected in the three MASH models at the pathway level . HFHCD and MCD might share more common traits . In comparing gene expression and pathway profiles be⁃tween different murine models and patients with different stages of MASH , all three murine MASH models showed a closer resemblance to the human progressive stages of MASH . Notably , the transcriptomic features of the CDHFD model were more consistent with those of human MASH . Conclusion There are certain similarities and differences among the transcriptional profiles of the three MASH models . The MASH models are more similar to the advanced stage of MASH in human patients . Compared to the other two models , the CDHFD model ′ s transcriptome profile more closely resembles human MASH .

Drug development remains a critical issue in the field of biomedicine.With the rapid advancement of information technologies such as artificial intelligence(AI)and the advent of the big data era,AI-assisted drug development has become a new trend,particularly in predicting drug-target associations.To address the challenge of drug-target prediction,AI-driven models have emerged as powerful tools,of-fering innovative solutions by effectively extracting features from complex biological data,accurately modeling molecular interactions,and precisely predicting potential drug-target outcomes.Traditional machine learning(ML),network-based,and advanced deep learning architectures such as convolutional neural networks(CNNs),graph convolutional networks(GCNs),and transformers play a pivotal role.This review systematically compiles and evaluates AI algorithms for drug-and drug combination-target predictions,highlighting their theoretical frameworks,strengths,and limitations.CNNs effectively identify spatial patterns and molecular features critical for drug-target interactions.GCNs provide deep insights into molecular interactions via relational data,whereas transformers increase prediction accu-racy by capturing complex dependencies within biological sequences.Network-based models offer a systematic perspective by integrating diverse data sources,and traditional ML efficiently handles large datasets to improve overall predictive accuracy.Collectively,these AI-driven methods are transforming drug-target predictions and advancing the development of personalized therapy.This review summa-rizes the application of AI in drug development,particularly in drug-target prediction,and offers rec-ommendations on models and algorithms for researchers engaged in biomedical research.It also provides typical cases to better illustrate how AI can further accelerate development in the fields of biomedicine and drug discovery.

Luteolin is a natural flavonoid compound exists in various fruits and vegetables.Recent studies have indicated that luteolin has variety pharmacological effects,including a wide range of antidepressant properties.Here,we systematically review the preclinical studies and limited clinical evidence on the antidepressant and neuroprotective effects of luteolin to fully explore its antidepressant power.Network pharmacology and molecular docking analyses contribute to a better understanding of the preclinical models of depression and antidepressant properties of luteolin.Seventeen preclinical studies were included that combined network pharmacology and molecular docking analyses to clarify the antide-pressant mechanism of luteolin and its antidepressant targets.The antidepressant effects of luteolin may involve promoting intracellular noradrenaline(NE)uptake;inhibiting 5-hydroxytryptamine(5-HT)re-uptake;upregulating the expression of synaptophysin,postsynaptic density protein 95,brain-derived neurotrophic factor,B cell lymphoma protein-2,superoxide dismutase,and glutathione S-transferase;and decreasing the expression of malondialdehyde,caspase-3,and amyloid-beta peptides.The antide-pressant effects of luteolin are mediated by various mechanisms,including anti-oxidative stress,anti-apoptosis,anti-inflammation,anti-endoplasmic reticulum stress,dopamine transport,synaptic protec-tion,hypothalamic-pituitary-adrenal axis regulation,and 5-HT metabolism.Additionally,we identified insulin-like growth factor 1 receptor(IGF1R),AKT serine/threonine kinase 1(AKT1),prostaglandin-endoperoxide synthase 2(PTGS2),estrogen receptor alpha(ESR1),and epidermal growth factor recep-tor(EGFR)as potential targets,luteolin has an ideal affinity for these targets,suggesting that it may play a positive role in depression through multiple targets,mechanisms,and pathways.However,the clinical efficacy of luteolin and its potential direct targets must be confirmed in further multicenter clinical case-control and molecular targeting studies.

OBJECTIVE To investigate the prevalence of tinnitus and hearing loss in otology patients,and to analyze the characteristics and relationship of tinnitus and hearing loss in different age groups.METHODS A total of 4 716 patients who visited otology clinic were enrolled.Age,gender,and presence or absence of tinnitus were recorded.All patients completed pure tone audiometry.The characteristics and relationship between tinnitus and pure tone audiometry threshold were analyzed after age grouping.RESULTS 1.Among the 4 716 patients,2 772 patients had tinnitus,accounting for 58.78%,and the incidence was highest in the 41-70 years old group.3 521 cases(74.66%)had hearing loss.2.Among the patients with tinnitus,2 227 cases(80.34%)had hearing loss,which was higher than that of patients without tinnitus(66.56%,1 294/1 944 cases).There was a difference in the incidence of hearing loss between those with and without tinnitus in each age group from 11 to 70 years(P<0.05).3.The average hearing threshold of patients with tinnitus was higher than that of patients without tinnitus.There was a difference in the average hearing threshold between patients with and without tinnitus in each age group over 30 years old(P<0.05).4.The incidence of high frequency hearing loss with tinnitus was 24.57%(681/2 772),and the incidence of without tinnitus was 21.66%(421/1 944).The rate of high-frequency hearing loss in the 21-40 years old group with tinnitus was higher than that in the non-tinnitus group(P<0.05).CONCLUSION The incidence of hearing loss is higher and more severe in patients with tinnitus.Particular attention should be paid to tinnitus in young patients.The incidence of high-frequency hearing loss was higher in the young and middle-aged group of patients with tinnitus.Therefore,the evaluation of hearing threshold in patients with tinnitus is very important,which can provide a basis for clinical diagnosis and treatment.

Objective:To investigate the ultrasonographic features and risk factors of patients with papillary thyroid carcinoma（PTC）located in the isthmus of the thyroid gland combined with lymph node metastasis（LNM）.Methods:A retrospective analysis was performed on a cohort of 614 patients diagnosed with isthmic PTC through postoperative pathological confirmation at Zhejiang Cancer Hospital between January 2020 and June 2024. The patients were divided into the LNM group（ n=225）and non-LNM（ n=389）based on the pathological results. The baseline information and ultrasound characteristics of the nodules were compared between the two groups. The risk factors associated with the development of LNM in patients with isthmus PTC were explored using univariate and multivariate Logistic regression analysis. The predictive performance was analyzed using ROC curve. Results:Comparison of the baseline information revealed that the age，maximum diameter of the cancerous lesion，gender were statistically different between LNM group and non-LNM group（all P<0.05）. Comparison of thyroid nodule ultrasound characteristics showed that there were statistically significant differences in boundary，aspect ratio，calcification，and color Doppler blood flow imaging（CDFI）grades between the two groups（all P<0.05）. Univariate and multifactorial Logistic regression analyses showed that the maximum diameter of the cancer foci（ OR=1.180，95% CI=1.119-1.244），gender is female（ OR=1.798，95% CI=1.187-2.723），and microcalcification（ OR=1.509，95% CI=0.183-12.441）were the factors affecting LNM of the isthmus PTC. The AUC value of the model used to predict the occurrence of LNM in isthmus PTC was 0.756（95% CI=0.717 - 0.795），with a sensitivity of 75.8% and a specificity of 63.6%. Conclusions:The maximum diameter of the cancer foci，microcalcification and gender female were independent risk factors for the occurrence of LNM in patients with thyraid isthmus PTC. The model constructed based on the above characteristics has a better predictive performance for thyroid isthmus PTC with LNM，and patients with the above high-risk character istics should be more vigilant.

Objective:To evaluate the association between heatwaves and fall-related mortality.Methods:A total of 61 421 fall-related mortality from 2013 to 2022 in 7 provinces of China were included in a time-stratified case-crossover design, with daily meteorological data derived from the fifth generation European Reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts. Conditional logistic regression chimeric distributed lag nonlinear model was used to analyze the association between heatwaves and fall-related mortality and stratified analysis was conducted according to gender and age.Results:Heatwaves were associated with an increased risk of fall-related morality. The risk of fall-related mortality during heatwaves was higher than during non-heatwave periods ( OR=1.11, 95% CI: 1.05-1.18). The attributable fraction of fall-related motality due to heatwaves was 10.25% (95% CI: 4.49%-15.36%). For each 1 ℃ increase above the heatwave threshold, the risk of fall-related mortality increased by 34% ( OR=1.34, 95% CI: 1.02-1.76). The effect of heatwave duration on fall-related mortality was not statistically significant. Stratified analyses indicated that women experienced a higher risk of fall-related mortality during heatwaves ( OR=1.13, 95% CI: 1.04-1.22) compared to man ( OR=1.10, 95% CI: 1.04-1.17). Conclusions:Heatwave increases the risk of fall-related mortality, and the intensity of heatwaves modify this risk. Women are vulnerable populations.

Aim To investigate the effect of hydrogen sulfide on macrophage calcification and its underlying mo-lecular mechanisms.Methods Oil red O staining was used to observe intracellular lipid accumulation,and von Kossa staining and atomic absorption spectroscopy were used for morphological and quantitative analysis of calcium deposition and intracellular calcium content in a mononuclear macrophage calcification model.Western blot and RT-PCR were used to detect the mRNA and protein expression of osteopontin(OPN)at different doses and treatment times of hydrogen sulfide.At the same time,Western blot was used to detect the expression changes of early growth response factor 1(EGR1),endo-plasmic reticulum stress-related markers C/EBP homologous protein(CHOP)and glucose-regulated protein 78(GRP78).Reactive oxygen species levels were evaluated by fluorescence probe staining,and the effect of hydrogen sulfide on macro-phage calcification was evaluated by combining von Kossa staining and calcium ion fluorescence probe staining.The mo-lecular mechanisms of hydrogen sulfide affecting macrophage calcification were explored by interfering with EGR1 expression and using endoplasmic reticulum stress inhibitor 4-phenylbutyric acid(4-PBA).Results Compared with oxidized low density lipoprotein(ox-LDL)group,β-glycerophosphate(β-GP)+40 g/L ox-LDL group showed a significant increase in intracellular lipid accumulation,while hydrogen sulfide significantly inhibited macrophage calcification in a con-centration-and time-dependent manner.Compared with the β-GP+ox LDL group,the most significant effect was observed after incubation with 100 μmol/L NaHS for 4 days.The hydrogen sulfide group showed a 66％decrease in intracellular calcium content(P＜0.01),a 71％decrease in intercellular calcium deposition(P＜0.01),and a 50％and 48％decrease in OPN mRNA and protein expression,respectively(P＜0.05).Hydrogen sulfide treatment upregulated the ex-pression of EGR1 by 21％,while downregulating the expression of CHOP and GRP78 by 58％and 59％,respectively(P＜0.01).The endoplasmic reticulum stress inhibitor 4-PBA could downregulate OPN expression by 73％(P＜0.01),while interfering with EGR1 expression completely counteracts the inhibitory effect of hydrogen sulfide on OPN expression and calcium deposition(P＜0.01).Conclusion Hydrogen sulfide significantly inhibits macrophage calcification by upregulating EGR1 expression and suppressing endoplasmic reticulum stress.