The chemical constituents in dried roots of Atractylodes macrocephala were investigated in this study. Through utilizing normal-phase silica gel and ODS column chromatography, TLC, and semi-preparative HPLC, 4 new sesquiterpenoids were purified from the ethyl acetate extract of A. macrocephala. By various spectroscopic techniques, such as 1D and 2D NMR, HR-ESI-MS, IR, UV, and CD, their structures were identified as atractylmacron A (1), 9β-hydroxyasterolide (2), atractylenolide H (3), atractylenolide J (4). Compound 1 possesses a rare 6/7 bicyclic skeleton.

Nine compounds were isolated and purified from 90% ethanol extract of Alstonia mairei Lévl by using various chromatographic methods, including silica gel, SephadexLH-20, MCI Gel and ODS column chromatography, combined with semi-preparative liquid phase separation methods. Modern spectroscopic methods (1D and 2D NMR, UV, IR, MS, etc.) were used to identify the structures of the isolated compounds. They were identified as mairoside A (1), 3′,6-di-O-sinaloylsucrose (2), myristic acid (3), methyl myristate (4), ethyl myristate (5), 3,4,5-trimethoxycinnamic acid (6), 3,4,5-trimethoxybenzoic acid (7), vinoline (8), kaempferol-3-O-rutinoside (9), among which compound 1 is a new glycoside, compounds 4 and 5 are new natural products, and the nuclear magnetic data of compound 4 were reported for the first time.

Eight compounds were isolated and purified from the ethyl acetate part of 70% acetone extract of Rehmannia glutinosa by various chromatographic techniques such as silica gel, MCI gel CHP-20, ODS, Toyopearl HW-40C, combined with TLC and semi-preparative HPLC. Their structures were elucidated by modern spectroscopy techniques (NMR, MS, UV, IR), and identified as neomartynoside A (1), osmanthuside B₆ (2), martynoside (3), isomartynoside (4), (E)-p-hydroxycinnamic acid (5), caffeic acid (6), ferulic acid (7), and methyl caffeate (8). Compound 1 is a new phenylethanol glycoside, which was identified as neomartynoside A. Compound 2 was isolated from Rehmannia glutinosa for the first time. In addition, compounds 2, 6 and 7 significantly increased relative glucose consumption, showing potential hypoglycemic activity.

Metabolic-associated fatty liver disease (MAFLD) and osteoporosis (OP) are two very common metabolic diseases. A growing body of experimental evidence supports a pathophysiological link between MAFLD and OP. MAFLD is often associated with the development of OP. Rutaecarpine (RUT) is one of the main active components of Chinese medicine Euodiae Fructus. Our previous studies have demonstrated that RUT has lipid-lowering, anti-inflammatory and anti-atherosclerotic effects, and can improve the OP of rats. However, whether RUT can improve both fatty liver and OP symptoms of MAFLD mice at the same time remains to be investigated. In this study, we used C57BL/6 mice fed a high-fat diet (HFD) for 4 months to construct a MAFLD model, and gave the mice a low dose (5 mg·kg^-1) and a high dose (15 mg·kg^-1) of RUT by gavage for 4 weeks. The effects of RUT on liver steatosis and bone metabolism were then evaluated at the end of the experiment [this experiment was approved by the Experimental Animal Ethics Committee of Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (approval number: IMB-20190124D₃03)]. The results showed that RUT treatment significantly reduced hepatic steatosis and lipid accumulation, and significantly reduced bone loss and promoted bone formation. In summary, this study shows that RUT has an effect of improving fatty liver and OP in MAFLD mice.

BACKGROUND:The development of artificial intelligence in the medical field is rapidly advancing,with increasing research on its applications in the field of bone trauma.Through bibliometric analysis,this paper analyzed the research hotspots of artificial intelligence in the field of bone trauma in recent years,and predicted the future research trend. OBJECTIVE:To summarize the development history,research status,hot spots,and future development trends of artificial intelligence technology in the field of bone trauma to provide new insights for future research. METHODS:This study selected relevant literature from the Web of Science core database,covering the period from the inception to August 2023,and retrieved 420 articles related to the application of artificial intelligence,machine learning,and deep learning in the field of bone trauma.After manual screening,202 articles related to this article were exported,and Citespace software was used for visual analysis of cooperation of countries,institutions,cited journals,citation analysis,keyword co-occurrence,and other aspects. RESULTS AND CONCLUSION:(1)The overall number of publications from the 202 selected articles showed an upward trend,indicating significant research potential for future studies.The country with the highest centrality and the highest publication volume was the United States.The University of California(USA)was the most prolific research institution.(2)The top five most commonly used keywords in bone trauma research using artificial intelligence were deep learning,artificial intelligence,bone density,machine learning,and diagnosis.The keyword with the highest centrality was bone density,and the keyword with the highest frequency was deep learning.(3)The top 10 most cited reference papers provided comprehensive insights into the feasibility of applying artificial intelligence techniques to the diagnosis of bone trauma from various perspectives.Among them,eight papers focused on bone and joint injuries and deep convolutional neural networks.One paper discussed the use of deep learning in detecting osteoporosis in CT scans to prevent fragility fractures,while another paper explored the correlation between the application of artificial intelligence in identifying changes in skin texture and the recognition of bone characteristics.(4)In the future,the research hotspots of artificial intelligence will mainly focus on the specific study of fractures caused by bone and joint trauma and osteoporosis.The research trend mainly focuses on improving the performance of artificial intelligence algorithms,using new artificial intelligence technologies to accurately classify and quickly and efficiently diagnose bone injuries,especially for the diagnosis of complex and hidden fractures.By establishing finite element analysis models,more standardized evaluations of bone injuries can be achieved.

Objective To explore the effects of nicotinamide mononucleotide （NMN） on hypertensive rats. Methods Two rat hypertension models including spontaneously hypertensive rats（SHR）and two-kidney two-clip （2K2C） rats were used to be given single, long-term or lifelong administration of NMN respectively. NMN’s effects were assessed comprehensively by monitoring survival time, blood pressure levels, and the extent of organ damage in hypertensive model rats. Results It was revealed that NMN did not exhibit protective effects in terms of lowering blood pressure levels, reducing organ damage or increasing survival time in hypertensive rats. Conclusion This study suggested that NMN did not demonstrate anti-hypertensive effects in rat hypertension models and could provide valuable insights for future clinical observation on NMN.

ObjectiveJunctophilin-2 (JPH2) is an essential structural protein that maintains junctional membrane complexes (JMCs) in cardiomyocytes by tethering the plasma membrane to the sarcoplasmic reticulum, thereby facilitating excitation-contraction (E-C) coupling. Mutations in JPH2 have been associated with hypertrophic cardiomyopathy (HCM), but the molecular mechanisms governing its membrane-binding properties and the functional relevance of its membrane occupation and recognition nexus (MORN) repeat motifs remain incompletely understood. This study aimed to elucidate the structural basis of JPH2 membrane association and its implications for HCM pathogenesis. MethodsA recombinant N-terminal fragment of mouse JPH2 (residues1-440), encompassing the MORN repeats and an adjacent helical region, was purified under near-physiological buffer conditions.X-ray crystallography was employed to determine the structure of the JPH2 MORN-Helix domain. Sequence conservation analysis across species and junctophilin isoforms was performed to assess the evolutionary conservation of key structural features. Functional membrane-binding assays were conducted using liposome co-sedimentation and cell-based localization studies in COS7 and HeLa cells. In addition, site-directed mutagenesis targeting positively charged residues and known HCM-associated mutations, including R347C, was used to evaluate their effects on membrane interaction and subcellular localization. ResultsThe crystal structure of the mouse JPH2 MORN-Helix domain was resolved at 2.6 Å, revealing a compact, elongated architecture consisting of multiple tandem MORN motifs arranged in a curved configuration, forming a continuous hydrophobic core stabilized by alternating aromatic residues. A C-terminal α-helix further reinforced structural integrity. Conservation analysis identified the inner groove of the MORN array as a highly conserved surface, suggesting its role as a protein-binding interface. A flexible linker segment enriched in positively charged residues, located adjacent to the MORN motifs, was found to mediate direct electrostatic interactions with negatively charged phospholipid membranes. Functional assays demonstrated that mutation of these basic residues impaired membrane association, while the HCM-linked R347C mutation completely abolished membrane localization in cellular assays, despite preserving the overall MORN-Helix fold in structural modeling. ConclusionThis study provides structural insight into the membrane-binding mechanism of the cardiomyocyte-specific protein JPH2, highlighting the dual roles of its MORN-Helix domain in membrane anchoring and protein interactions. The findings clarify the structural basis for membrane targeting via a positively charged linker and demonstrate that disruption of this interaction—such as that caused by the R347C mutation—likely contributes to HCM pathogenesis. These results not only enhance current understanding of JPH2 function in cardiac E-C coupling but also offer a structural framework for future investigations into the assembly and regulation of JMCs in both physiological and disease contexts.

Objective To investigate the effects of Fuzheng Quxie Prescription(mainly with the actions of supporting healthy qi and dispelling pathogens)combined with neoadjuvant chemotherapy on tumor recurrence,serum thymidine kinase 1(TK1)level and immune function in patients with triple-negative breast cancer(TNBC).Methods Eighty patients with TNBC of qi and yin deficiency type were randomly divided into a combination group and a control group,with 40 patients in each group.The control group was treated with AC-T sequential chemotherapy(Doxorubicin combined with Cyclophosphamide plus sequential Docetaxel),and the combination group was treated with Fuzheng Quxie Prescription on the basis of treatment for the control group.One course of treatment covered 21 days,and the two groups were treated for 4 consecutive courses.The changes of traditional Chinese medicine(TCM)syndrome scores,Karnofsky Performance Status(KPS)score,levels of tumor markers of carbohydrate antigen 125(CA125),carbohydrate antigen 153(CA153)and TK1,and T lymphocyte subset levels in the two groups were observed before and after the treatment.Moreover,the clinical efficacy and tumor metastasis and recurrence in the two groups were compared.Results(1)After 4 courses of treatment,the total effective rate of the combination group was 87.50%(35/40),and that of the control group was 67.50%(27/40),and the intergroup comparison(tested by chi-square test)showed that the efficacy of the combination group was significantly superior to that of the control group(P＜0.05).(2)After treatment,the TCM syndrome scores in the two groups were significantly decreased compared with those before treatment(P＜0.05),and the KPS scores were significantly increased compared with those before treatment(P＜0.05),and the decrease of TCM syndrome scores and the increase of KPS scores in the combination group were significantly superior to that in the control group(P＜0.05 or P＜0.01).(3)After treatment,the serum CA125,CA153 and TK1 levels of patients in the two groups were significantly decreased compared with those before treatment(P＜0.05),and the decrease of serum CA125,CA153 and TK1 levels in the combination group was significantly superior to that in the control group(P＜0.01).(4)After treatment,the T lymphocyte subset CD3+,CD4+ levels and CD4+/CD8+ ratio in the two groups were significantly increased compared with those before treatment(P＜0.05),and the CD8+ level was significantly decreased compared with that before treatment(P＜0.05).The post-treatment intergroup comparison showed that the increase of the T lymphocyte subset CD3+,CD4+ levels and CD4+/CD8+ ratio as well as the decrease of the CD8+ level in the combination group was all significantly superior to that in the control group(P＜0.05 or P＜0.01).(5)The one-year follow-up showed that the tumor recurrence rate and tumor metastasis rate in the combination group were 7.50%(3/40)and 12.50%(5/40)respectively,significantly lower than 25.00%(10/40)and 35.00%(14/40)in the control group,and the differences were statistically significant when comparing between the two groups(P＜0.05).Conclusion The combination of neoadjuvant chemotherapy with Fuzheng Quxie Prescription has a better therapeutic effect on TNBC patients with qi and yin deficiency syndrome,which can effectively improve the immune function of the patients,decrease the level of serum tumor markers,improve the quality of life of the patients,and reduce the incidence of tumor recurrence and metastasis.

Objective To investigate the effect of diosmine on semen quality and sex hormone concentra-tion in patients with spermatovenous ligation.Methods Clinical data were retrospectively collected from January 2019 to January 2022 on patients with varicocele admitted to Department of Urology,General Hospital of Southern Theater Command,divided into a control group and a study group based on whether they had a history of Diosmine use after surgery.Clinical data from both groups were matched using propensity score matching.Sperm quality and sex hormone tests were then compared before surgery,three months after surgery and six months after surgery.Results There were 73 in the control group and 73 in the study group.Both groups were balanced in terms of age,BMI,seminal fluid volume and testosterone(P＞0.05).Sperm motility,forward motility and testosterone were all increased 3 and 6 months after surgery,and sperm malformations,sperm DNA fragment index,follicle stimulating hormone and luteinizing hormone were all reduced significantly(P＜0.05).The results were also better than those in the control group for total sperm motility,forward motility,testosterone,sperm DNA fragment index,follicle stimulating hormone and luteinizing hormone(P＜0.05).Conclusions Diosmine can help to restore semen quality and improve sex hormone concentration in patients with varicocele after Laparoscopic varicocelectomy.

Objective:To explore the application effects of a neurosurgical mixed-reality distance teaching (NMDT) model in standardized residency training in neurosurgery.Methods:We built an NMDT system using mixed-reality technology and remote interaction technology, and designed the implementation procedure according to the teaching objectives. After the teaching activities were completed, a teaching satisfaction questionnaire survey was conducted among 20 neurosurgery resident trainees, in which they provided satisfaction scores for the same teaching content with different teaching models (i.e., the NMDT model and traditional teaching model). SPSS 22.0 software was used to perform the t test for data analysis. Results:There were significant differences between the NMDT model and the traditional teaching model in key indicators including the score for "completion of teaching objectives" (9.20±0.68 vs. 8.25±0.70, P<0.001) and the score for "satisfaction with learning gains" score (8.95±0.67 vs. 8.05±0.92, P=0.001). The NMDT model also outperformed the traditional teaching model in the other individual scores and the total score. Conclusions:The NMDT model can improve teaching quality, increase training efficiency, and enrich teaching content, which is worthy of promotion.