Osteoporosis （OP） is a systemic metabolic disease with a strong correlation with age. The prevalence of osteoporosis is rising annually as a consequence of the growing issue of population ageing. The current treatments for OP have numerous shortcomings. In contrast， traditional Chinese medicine has a long history and a rich species diversity. Furthermore， recent years have seen an increase in the number of studies examining the anti-OP properties of traditional Chinese medicine. This may provide a safe and effective alternative strategy for the treatment of OP. The zebrafish， due to its favourable optical transparency and high homology with human genes， has been extensively employed as an animal research model in the investigation of human skeletal-related disease mechanisms and drug screening. This paper presents a review of anti-osteoporosis studies of traditional Chinese medicine using zebrafish as a model for osteoporosis. It also provides a summary of the experimental evaluation methods involved in such studies， an analysis of the current status of traditional Chinese medicine in the treatment of osteoporosis using zebrafish as a model， and a summary of the mechanism of action and the signalling pathways involved in traditional Chinese medicine in the anti-osteoporosis treatment of zebrafish. The current research status of Chinese medicine in the treatment of OP was analysed， as well as the mechanism of action of Chinese medicine against OP and the signalling pathways involved. Furthermore， the advantages and disadvantages of various zebrafish modelling methods of OP were compared with those of traditional animal models. The objective of this study is to provide a reference for the evaluation method of the zebrafish model in the study of bone-related diseases， as well as for the study of the mechanism of action of traditional Chinese medicine against OP and for the reference of the research and development of new drugs.

BackgroundPatients with schizophrenia experience low quality of life， and internalized stigma is considered an important indicator for quality of life， while the mediating role of self-esteem and severity of negative symptoms in the relationship between internalized stigma and quality of life remains underexplored. ObjectiveTo examine the mediating role of self-esteem and severity of negative symptoms in the relationship between internalized stigma and quality of life， so as to provide references for improving their quality of life. MethodsA total of 342 patients with schizophrenia who were hospitalized in 6 hospitals in Xiangyang City， Siping City and Changchun City from April to September 2023 were included， and all of whom met the diagnostic criteria for schizophrenia according to the International Classification of Diseases， tenth edition （ICD-10）. Internalized Stigma of Mental Illness Scale （ISMI）， Schizophrenia Quality of Life Scale （SQLS）， Self-Esteem Scale （SES） and negative symptom subscale of Positive and Negative Symptom Scale （PANSS） were administered to all patients. Spearman correlation analysis was adopted to determine correlations between the different scales. A structural equation modeling was constructed using Amos 28.0， and Bootstrap method was employed to verify the mediating effect of self-esteem and negative symptom severity in the association between internalized stigma and quality of life. ResultsA total of 309 patients （90.35%） completed questionnaires in this study. The ISMI score of schizophrenia patients was positively correlated with both SQLS score and the PANSS negative symptom subscale score （r=0.612， 0.492， P<0.01）， while was negatively correlated with SES score （r=-0.513， P<0.01）. The SQLS score was negatively associated with the SES score （r=-0.555， P<0.01） and positively associated with PANSS negative symptom subscale score （r=0.672， P<0.01）. The SES score was negatively correlated with PANSS negative symptom subscale score （r=-0.433， P<0.01）.The total effect value of internalized stigma on quality of life was 0.746 （95% CI： 0.680~0.806）. Self-esteem and severity of negative symptoms independently mediated the relationship between internalized stigma and quality of life， and the indirect effect values were 0.151 （95% CI： 0.062~0.254） and 0.126 （95% CI： 0.047~0.205）， accounting for 20.24% and 16.89% of the total effect， respectively. In addition， a chained mediation effect of self-esteem and quality of life was also demonstrated， the indirect effect value was 0.102 （95% CI： 0.049~0.165）， accounting for 13.67% of the total effect）. ConclusionInternalized stigma in patients with schizophrenia patients can not only directly affect the quality of life， but also indirectly affect the quality of life of patients through either separate or chained mediation of self-esteem and the severity of negative symptoms. ［Funded by Hubei Provincial Undergraduate Innovation and Entrepreneurship Project （number， S202410519027）］

The Hedgehog (Hh) signaling pathway is a critical transduction system regulating cell proliferation, differentiation, and tissue homeostasis during embryonic development. Its aberrant activation is closely associated with the pathogenesis of malignancies such as basal cell carcinoma and medulloblastoma. Although Smoothened (SMO)-targeting inhibitors have received clinical approval, their therapeutic efficacy is limited by acquired resistance mutation and compensatory pathway activation. Glioma-associated oncogene homolog 1 (GLI1), the terminal effector transcription factor of the Hh pathway, has emerged as a promising therapeutic target due to its tumor-specific overexpression and lower propensity for resistance induction. However, GLI1 is classified as an "undruggable" target due to the absence of well-defined ligand-binding pockets, low inhibitory activity, and poor drug-like properties. Currently, no GLI1 inhibitor has entered clinical trials. This review systematically analyzes multidimensional modulation strategies (e.g., allosteric modulation, protein-protein interaction disruption, targeted protein degradation) for targeting transcription factors, based on the structural and functional features of GLI1-DNA interaction combined with recent advances in structural biology and chemical biology, offering new paradigms to overcome therapeutic barriers against undruggable targets.

Objective To develop a deep learning method for small sample multi-omics data using attention mechanism and Meta-learning for the establishment of autism diagnosis model.Methods MLAN(Meta-learning based attentive network)consisting of the omics feature pre-reduction module,the multi-omics data fusion and feature learning module,and the parameter optimization module was designed.Firstly,differential expression analysis was performed on high-dimensional multi-omics data to preliminarily screen out unimportant features.Secondly,a multi-channel attention mechanism was used to learn the importances of every set of omics data and to realize data fusion,and a two-layer fully connected network was constructed to further extract latent features and realize the diagnosis task.Finally,the Meta-learning algorithm Reptile was used to optimize the initial parameters of the above model to obtain the optimal parameters.A total of 58 children's saliva samples were collected,including 21 children diagnosed with autism,12 children with social disorders,and 25 healthy controls,and the protein and metabolomics data were detected by mass spectrometry.All data were randomly divided into training set and test set by 4∶1,and the training set was divided into training data and validation data in the same way for model training and validation.The test set was used for the final evaluation of the model effect.Five baseline models and three ablated models were constructed and evaluated along with MLAN based on metrics including multi-classification accuracy,F1-macro and F1-weighted scores.Results The constructed multi-classification autism diagnosis model MLAN achieved multi-classification accuracy,F1-macro and F1-weighted scores of 0.850±0.066,0.817±0.103 and 0.834±0.087.The values of all three indicators were better than those of baseline models and the ablated models.Conclusion The proposed MLAN can effectively deal with heterogeneous multi-omics data with small samples and achieve good results,which is expected to provide assistance for the clinical diagnosis of autism.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Background and Aims:Microsatellite-stable(MSS)colorectal cancer(CRC)generally exhibits poor responsiveness to immune checkpoint inhibitors(ICIs),and effective immunotherapy strategies remain lacking.Anti-angiogenic agents such as bevacizumab(BEV)can improve the tumor immune microenvironment and act synergistically with ICIs.This multicenter real-world study compared the efficacy of different immunotherapy-based combination regimens in patients with MSS/MSI-L/pMMR advanced CRC,aiming to identify the optimal treatment strategy.Methods:A total of 100 patients with MSS/MSI-L/pMMR advanced CRC who received systemic treatment between November 2019 and February 2025 at four tertiary hospitals in Hunan,China,were retrospectively enrolled.Patients were classified into six treatment groups:chemotherapy alone,chemotherapy+targeted therapy,immunotherapy alone,immunotherapy+chemotherapy,immunotherapy+targeted therapy,and immunotherapy+chemotherapy+targeted therapy.The primary endpoints were overall survival(OS)and progression-free survival(PFS),while secondary endpoints were objective response rate(ORR)and disease control rate(DCR).Additionally,among patients receiving immunotherapy,subgroup analysis was performed according to BEV administration.Results:Among all 100 patients,the immunotherapy+chemotherapy+targeted therapy group achieved the highest ORR(32.0%)and DCR(76.0%)and was the only regimen yielding a complete response(CR).Compared with chemotherapy or immunotherapy alone,the triplet regimen significantly improved OS(P<0.05);although PFS improvement did not reach statistical significance,a clear late-stage separation of survival curves was observed.In the immunotherapy subgroup,BEV-containing regimens achieved markedly better outcomes than non-BEV regimens,with DCR of 75.0%vs.48.8%,median OS of 18.9 vs.11.5 months,and median PFS of 13.8 vs.7.2 months(all P<0.001).Cox regression analysis showed that compared with chemotherapy alone,the triplet regimen significantly reduced the risk of death(HR=0.11)and disease progression(HR=0.25)(both P=0.002).Vascular invasion was identified as an adverse prognostic factor for PFS(HR=3.0,P=0.007).Conclusion:This multicenter real-world study demonstrated that combining immunotherapy with chemotherapy and targeted therapy significantly improves DCR and survival outcomes in patients with MSS/MSI-L/pMMR advanced CRC,with BEV-containing triplet regimens providing the most pronounced benefit.BEV may enhance immune responsiveness by modulating the tumor microenvironment and promoting effector T-cell infiltration,offering a promising therapeutic direction for"immune-cold"CRC.Prospective randomized studies are warranted to further validate its clinical value and define appropriate patient populations.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Background and Aims:Microsatellite-stable(MSS)colorectal cancer(CRC)generally exhibits poor responsiveness to immune checkpoint inhibitors(ICIs),and effective immunotherapy strategies remain lacking.Anti-angiogenic agents such as bevacizumab(BEV)can improve the tumor immune microenvironment and act synergistically with ICIs.This multicenter real-world study compared the efficacy of different immunotherapy-based combination regimens in patients with MSS/MSI-L/pMMR advanced CRC,aiming to identify the optimal treatment strategy.Methods:A total of 100 patients with MSS/MSI-L/pMMR advanced CRC who received systemic treatment between November 2019 and February 2025 at four tertiary hospitals in Hunan,China,were retrospectively enrolled.Patients were classified into six treatment groups:chemotherapy alone,chemotherapy+targeted therapy,immunotherapy alone,immunotherapy+chemotherapy,immunotherapy+targeted therapy,and immunotherapy+chemotherapy+targeted therapy.The primary endpoints were overall survival(OS)and progression-free survival(PFS),while secondary endpoints were objective response rate(ORR)and disease control rate(DCR).Additionally,among patients receiving immunotherapy,subgroup analysis was performed according to BEV administration.Results:Among all 100 patients,the immunotherapy+chemotherapy+targeted therapy group achieved the highest ORR(32.0%)and DCR(76.0%)and was the only regimen yielding a complete response(CR).Compared with chemotherapy or immunotherapy alone,the triplet regimen significantly improved OS(P<0.05);although PFS improvement did not reach statistical significance,a clear late-stage separation of survival curves was observed.In the immunotherapy subgroup,BEV-containing regimens achieved markedly better outcomes than non-BEV regimens,with DCR of 75.0%vs.48.8%,median OS of 18.9 vs.11.5 months,and median PFS of 13.8 vs.7.2 months(all P<0.001).Cox regression analysis showed that compared with chemotherapy alone,the triplet regimen significantly reduced the risk of death(HR=0.11)and disease progression(HR=0.25)(both P=0.002).Vascular invasion was identified as an adverse prognostic factor for PFS(HR=3.0,P=0.007).Conclusion:This multicenter real-world study demonstrated that combining immunotherapy with chemotherapy and targeted therapy significantly improves DCR and survival outcomes in patients with MSS/MSI-L/pMMR advanced CRC,with BEV-containing triplet regimens providing the most pronounced benefit.BEV may enhance immune responsiveness by modulating the tumor microenvironment and promoting effector T-cell infiltration,offering a promising therapeutic direction for"immune-cold"CRC.Prospective randomized studies are warranted to further validate its clinical value and define appropriate patient populations.

Objective To develop a deep learning method for small sample multi-omics data using attention mechanism and Meta-learning for the establishment of autism diagnosis model.Methods MLAN(Meta-learning based attentive network)consisting of the omics feature pre-reduction module,the multi-omics data fusion and feature learning module,and the parameter optimization module was designed.Firstly,differential expression analysis was performed on high-dimensional multi-omics data to preliminarily screen out unimportant features.Secondly,a multi-channel attention mechanism was used to learn the importances of every set of omics data and to realize data fusion,and a two-layer fully connected network was constructed to further extract latent features and realize the diagnosis task.Finally,the Meta-learning algorithm Reptile was used to optimize the initial parameters of the above model to obtain the optimal parameters.A total of 58 children's saliva samples were collected,including 21 children diagnosed with autism,12 children with social disorders,and 25 healthy controls,and the protein and metabolomics data were detected by mass spectrometry.All data were randomly divided into training set and test set by 4∶1,and the training set was divided into training data and validation data in the same way for model training and validation.The test set was used for the final evaluation of the model effect.Five baseline models and three ablated models were constructed and evaluated along with MLAN based on metrics including multi-classification accuracy,F1-macro and F1-weighted scores.Results The constructed multi-classification autism diagnosis model MLAN achieved multi-classification accuracy,F1-macro and F1-weighted scores of 0.850±0.066,0.817±0.103 and 0.834±0.087.The values of all three indicators were better than those of baseline models and the ablated models.Conclusion The proposed MLAN can effectively deal with heterogeneous multi-omics data with small samples and achieve good results,which is expected to provide assistance for the clinical diagnosis of autism.

Objective: Studies on duration of untreated psychosis are common in patients with schizophrenia, but few studies have investigated the relationship between duration of untreated illness (DUI) and suicide, especially in patients with chronic schizophrenia. Therefore, we intended to investigate the relationship between DUI and suicide and clinical correlates in patients with chronic schizophrenia. Methods: A total of 1,555 Chinese patients with chronic schizophrenia were enrolled in this study. DUI was measured in years, reflecting the prolonged untreated periods observed in this population. Clinical correlates were assessed, including symptoms, cognitive functioning, and body mass index. Suicidal ideation and attempts were also examined. Statistical analyses, including multivariate models, were employed to investigate the associations between DUI and clinical correlates while controlling for potential confounders. Results: The study revealed a significant proportion (23.3%) of patients with chronic schizophrenia in China received their first treatment after a 4-year delay, with the longest untreated duration reaching 39 years. Patients with longer DUI exhibited more severe negative symptoms, lower immediate memory scores, a higher likelihood of being overweight, and surprisingly, a reduced likelihood of suicidal ideation and attempts. Each additional year of untreated illness was associated with a 3% decrease in the risk of suicidal ideation and attempts. Conclusion The findings underscore the prevalence of extended untreated periods in Chinese patients with chronic schizophrenia and highlight the impact of DUI on negative symptoms, cognitive function, and body weight. Intriguingly, a longer DUI was associated with a lower risk of suicidal ideation and attempts.