Bone is a highly calcified and vascularized tissue. The vascular system plays a vital role in supporting bone growth and repair, such as the provision of nutrients, growth factors, and metabolic waste transfer. Moreover, the additional functions of the bone vasculature, such as the secretion of various factors and the regulation of bone-related signaling pathways, are essential for maintaining bone health. In the bone microenvironment, bone tissue cells play a critical role in regulating angiogenesis, including osteoblasts, bone marrow mesenchymal stem cells (BMSCs), and osteoclasts. Osteogenesis and bone angiogenesis are closely linked. The decrease in osteogenesis and bone angiogenesis caused by aging leads to osteoporosis. Long noncoding RNAs (lncRNAs) are involved in various physiological processes, including osteogenesis and angiogenesis. Recent studies have shown that lncRNAs could mediate the crosstalk between angiogenesis and osteogenesis. However, the mechanism by which lncRNAs regulate angiogenesis‒osteogenesis crosstalk remains unclear. In this review, we describe in detail the ways in which lncRNAs regulate the crosstalk between osteogenesis and angiogenesis to promote bone health, aiming to provide new directions for the study of the mechanism by which lncRNAs regulate bone metabolism.
RNA, Long Noncoding/physiology* ; Osteogenesis/physiology* ; Humans ; Neovascularization, Physiologic/genetics* ; Bone and Bones/metabolism* ; Animals ; Mesenchymal Stem Cells ; Signal Transduction ; Osteoblasts ; Osteoclasts ; Angiogenesis

With the rapid advancement and iterative development of new artificial intelligence technologies, there remains a regulatory vacuum in corresponding governance measures among governments worldwide. Simultaneously, a technological and governance gap exists between developing countries and developed economies. In response, the World Health Organization (WHO) has released "Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-Modal Models" to assist governments in strengthening governance capabilities in this field. This paper provides an in-depth analysis of the Guidance, aiming to identify challenges and risks associated with the application of multimodal large models in healthcare. Guided by ethical principles for advancing health through artificial intelligence, the paper examines the three-tier governance framework and recommendations outlined in the Guidance. Additionally, it evaluates the current state of AI governance in China, offering insights and reference points for improving AI governance in China′s healthcare sector.

Objective: To analyze the association of participation in non-sports extracurricular tutoring classes with the prevalence of screening myopia, axial length (AL) and axial length to corneal radius ratio (AL/CR) among primary school students, so as to provide evidences for formulating myopia prevention and control policies. Methods: In December 2024, combination of convenience and cluster sampling method was used to select 2 273 students from two primary schools in Hefei City, Anhui Province. Ophthalmic examinations and questionnaire surveys were conducted to obtain information on myopia, AL, AL/CR and participation in various types of extracurricular tutoring. A binary Logistic regression model was used to analyze the association between non-sports tutoring and screening myopia, and multiple linear regression models were used to examine the associations between non-sports tutoring and AL and AL/CR. Results: Among the surveyed students, the participation rate in non-sports extracurricular tutoring classes was 64.9% , and the overall prevalence of screening myopia was 39.1%. The average AL and AL/CR were (23.60± 1.01 ) mm and (3.00±0.12), respectively. Univariate analysis showed that students who attended non-sports, music, or academic tutoring classes for ≥2 h per week had higher risks of screening myopia and greater AL/CR values than non-participants (screening myopia: OR =1.38, 1.82, 1.55; AL/CR: β =0.01, 0.03, 0.03; all P <0.05). After adjusting for sex, grade, and participation in sports tutoring, multivariate analysis indicated that participation in non-sports and musical instrument tutoring classes for ≥2 h per week remained significantly associated with higher risks of screening myopia ( OR =1.26, 1.49, both P <0.05). Multiple linear regression showed that participation in musical instrument tutoring for ≥2 h per week was positively correlated with AL ( β=0.14, P < 0.05). Conclusions Participation in non-sports extracurricular tutoring is common among primary school students. Attending non-sports tutoring classes for ≥2 h per week increases the risk of screening myopia.

Objective:To investigate the optimal processing technology for Sophorae Fructus Carbonisata(char-coal-processed immature fruit of Sophora japonica)by integrating thermal analysis,response surface methodology(RSM),and intelligent sensory technology.Methods:The thermal analysis technology was used to simulate the processing process of traditional Chinese medicine(TCM),the pyrolysis characteristics of Sophorae Fructus powder were studied,and the processing process was discussed by intelligent sensory analysis to determine the temperature range.Using the contents of genistein,kaempferol,and quercetin as comprehensive evaluation indices,the RSM was applied to optimize the processing technology for Sophorae Fructus Carbonisata.Results:The optimal process-ing technology for Sophorae Fructus Carbonisata was identified as:Stir-frying temperature was 290 ℃,Stir-frying time was 14 min.Conclusion:The integrated approach of thermal analysis-RSM and intelligent sensory technology has successfully established an accurate predictive model for active components in Sophorae Fructus.The optimized processing technology not only enhances the reproducibility of charcoal processing but also lays a foundation for the formulation of national quality standards for this TCM.

Objective:To analyze the risk factors for human cytomegalovirus (HCMV) infection in pediatric recipients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT).Methods:Clinical data of children who underwent first allo-HSCT were retrospectively analyzed from March 2017 to November 2024. A total of 259 pediatric allo-HSCT recipients were analyzed through comparing HCMV infection group (n=115) and Non-HCMV infection group (n=144). Clinical characteristics were compared, and risk factors for HCMV infection were analyzed using univariate and multivariate logistic regression.Results:The result of univariate analysis showed that adrenoleukodystrophy (ALD), length of hospitalization, duration of antiviral therapy, and bacterial infection were significantly associated with HCMV infection in pediatric allo-HSCT recipients ( P<0.05). The result of multivariate analysis showed that ALD was an independent protective factor against HCMV infection of allo-HSCT recipients ( P<0.05) [OR=0.22, 95% CI: 0.06-0.86], while umbilical cord blood transplantation (UCBT) was an independent risk factor for HCMV infection in allo-HSCT recipients ( P<0.05) [OR=6.13, 95% CI: 1.34-28.04]. When the area under the ROC curve (AUC) for predicting post-transplant relapse based on HCMV viral load was 0.75 (95% CI: 0.55-0.94, P=0.014) and at the cutoff value of 3×10 3 copies/ml, the sensitivity and specificity for predicting relapse were 81.13% and 66.67%, respectively. Conclusions:HCMV infection in pediatric allo-HSCT recipients may lead to longer hospitalization and increased risk of relapse.

Objective:To analyze the clinical characteristics and cytokines expression characteristics in infants with mild and severe respiratory syncytial virus (RSV) infection.Methods:From May 2023 to December 2023, plasma samples and clinical information were collected from 16 infants with RSV infection and 14 control infants. Cytek Aurora flow cytometry (Cytek, America) and Enzyme linked immunosorbent assay (ELISA) were used to detect the expression levels of 25 cytokines after mild and severe RSV infection.Results:Cough and nasal obstruction were the main clinical manifestations in infants with mild RSV infection, accompanied by polypnea, wheezing and other symptoms. The main symptoms of severe RSV infection were cough and rales, accompanied by fever and polypnea. In comparison with the control group, the expression levels of IL-2, IL-4, IL-5, IL-6, IL-9, IL-13, IL-22, TNF-α, IFN-α, IFN-β, MIP-1β, I-TAC, ENA-78, GROα, Eotaxin, and MCP-1 in the RSV infection group all exhibited an upregulation trend. Both IP-10 and MIP-3α demonstrated a downward trend in the RSV infection group; however, there was no statistically significant difference ( P>0.05). The levels of IL-10, IFN-γ, MIP-1α, and IL-8 in the RSV infection group were significantly higher than those in the control group, whereas the levels of MIG, TARC, and RANTES in the RSV infection group were significantly lower than those in the control group ( P<0.05). The levels of IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-13, IL-22, IFN-β, IFN-γ, TNF-α, IL-8, I-TAC, MIP-1β, Eotaxin, and MCP-1 in the mild RSV infection group were significantly higher than those in the severe RSV infection group ( P>0.05). Among these, the levels of MIG, RANTES, TARC, MIP-3α, and ENA-78 in the mild infection group were all lower than those in the severe infection group. The expressions of ENA-78 and MIP-1α in the severe infection group were significantly higher than those in the mild infection group and also higher than those in the control group. There was no significant difference in IP-10 and GROα between the mild and severe RSV infection groups ( P>0.05). Conclusions:The differences in clinical features and cytokines between infants with mild and severe RSV infection provide important data support for the prevention and treatment of RSV infection in infants.

Objective To investigate the clinical efficacy of stellate ganglion block(SGB)combined with nicergoline in patients with dysphagia after stroke.Methods A total of 104 patients with dysphagia after stroke were randomly divided into the observation group and the control group.The observation group was treated with niergoline and SGB,while the control group received functional electrical stimulation.The total effective rate,swallowing condition,inflammatory factor level and adverse events were compared between the two groups.Results After treatment,the total effective rate was significantly higher in the observation group(92.31%)than that of the control group(73.08%,P＜0.05).The level of interleukin-6(IL-6),the standardized swallowing assessment(SSA)score and the level of tumor necrosis factor alpha(TNF-α)were significantly lower in the observation group than those in the control group(P＜0.05).The Mann swallowing ability assessment scale(MASA)score was significantly higher in the observation group than that of the control group(P＜0.05).There were no significant differences in adverse reactions such as glottis closure and laryngeal spasm between the two groups(P＞0.05).Conclusion The combined treatment of SGB and nicergoline can effectively improve swallowing function in patients with dysphagia after stroke,with good safety,ideal results and high clinical application value.

Objective To investigate the role of reactive oxygen species(ROS)and the extracellular signal-regulated kinase(ERK)/cAMP response element binding protein(CREB)signaling pathway in arsenic-induced apoptosis in HT-22 cells.Methods HT-22 cells were cultured in vitro and exposed to NaAsO2.The cells were divided into the following groups:control group,4,6,8,and 10 μmol/L NaAsO2 groups,NAC(5 mmol/L)group,and NAC(5 mmol/L)+NaAsO2(10 μmol/L)group.ROS levels were measured using a DCFH-DA assay.The expression of ERK/CREB signaling pathway-related and apoptosis-related proteins were analyzed by Western blotting.Apop-tosis rates were evaluated using flow cytometry.Results Compared with the control group,ROS levels in HT-22 cells significantly increased,while p-ERK protein level in the nucleus and p-CREB and Bcl-2 protein levels in the cells significantly decreased in the NaAsO2 only exposed groups(P＜0.05).Additionally,the apoptosis rate significantly increased in the 8 and 10 μmol/L NaAsO2 groups compared with the control group(P＜0.05).In the NAC+NaAsO2 group,ROS levels and the apoptosis rate significantly decreased while p-ERK protein level in the nucleus and p-CREB and Bcl-2 protein levels in the cells significantly increased compared with the 10 μmol/L NaAsO2 group(P＜0.05).Conclusion Arsenic exposure induces oxidative stress,inhibits the nuclear translocation of p-ERK,and dis-rupts the CREB signaling pathway,leading to apoptosis.

Objective:To investigate the optimal processing technology for Sophorae Fructus Carbonisata(char-coal-processed immature fruit of Sophora japonica)by integrating thermal analysis,response surface methodology(RSM),and intelligent sensory technology.Methods:The thermal analysis technology was used to simulate the processing process of traditional Chinese medicine(TCM),the pyrolysis characteristics of Sophorae Fructus powder were studied,and the processing process was discussed by intelligent sensory analysis to determine the temperature range.Using the contents of genistein,kaempferol,and quercetin as comprehensive evaluation indices,the RSM was applied to optimize the processing technology for Sophorae Fructus Carbonisata.Results:The optimal process-ing technology for Sophorae Fructus Carbonisata was identified as:Stir-frying temperature was 290 ℃,Stir-frying time was 14 min.Conclusion:The integrated approach of thermal analysis-RSM and intelligent sensory technology has successfully established an accurate predictive model for active components in Sophorae Fructus.The optimized processing technology not only enhances the reproducibility of charcoal processing but also lays a foundation for the formulation of national quality standards for this TCM.

With the rapid advancement and iterative development of new artificial intelligence technologies, there remains a regulatory vacuum in corresponding governance measures among governments worldwide. Simultaneously, a technological and governance gap exists between developing countries and developed economies. In response, the World Health Organization (WHO) has released "Ethics and Governance of Artificial Intelligence for Health: Guidance on Large Multi-Modal Models" to assist governments in strengthening governance capabilities in this field. This paper provides an in-depth analysis of the Guidance, aiming to identify challenges and risks associated with the application of multimodal large models in healthcare. Guided by ethical principles for advancing health through artificial intelligence, the paper examines the three-tier governance framework and recommendations outlined in the Guidance. Additionally, it evaluates the current state of AI governance in China, offering insights and reference points for improving AI governance in China′s healthcare sector.