The scaphoid bone is one of the important bone of hand,which is frequently injured and difficult to treat in clinical practice.Therefore,it is very important to deeply study the microstructure and biomechanical characteristics of the scaphoid bone for understanding its injury mechanism and optimizing treatment scheme.Microcomputed tomography(micro-CT)provides high-resolution imaging of bone tissue,while finite element analysis can help to simulate the stress distribution and behavioral patterns of the scaphoid bone under various physiological and pathological states.The high-resolution three-dimensional image of the scaphoid bone obtained by micro-CT technology can be used to construct finite element models of real anatomical structure of the scaphoid bone,thus achieving accurate simulation of the mechanical properties of the scaphoid bone.The fusion of these two advanced technologies provides a new perspective for revealing the structural and functional relationships and injury mechanism of the scaphoid bone.Therefore,this paper reviews the anatomical characteristics of the scaphoid bone and its biomechanical behavior in different states,emphasizing the specific applications and advantages of micro-CT and finite element analysis techniques in the study of the scaphoid bone.By summarizing the research findings in recent years,this paper provides novel scientific basis and methods for the diagnosis,treatment,and prevention of scaphoid bone-related disorders.

The scaphoid bone is one of the important bone of hand,which is frequently injured and difficult to treat in clinical practice.Therefore,it is very important to deeply study the microstructure and biomechanical characteristics of the scaphoid bone for understanding its injury mechanism and optimizing treatment scheme.Microcomputed tomography(micro-CT)provides high-resolution imaging of bone tissue,while finite element analysis can help to simulate the stress distribution and behavioral patterns of the scaphoid bone under various physiological and pathological states.The high-resolution three-dimensional image of the scaphoid bone obtained by micro-CT technology can be used to construct finite element models of real anatomical structure of the scaphoid bone,thus achieving accurate simulation of the mechanical properties of the scaphoid bone.The fusion of these two advanced technologies provides a new perspective for revealing the structural and functional relationships and injury mechanism of the scaphoid bone.Therefore,this paper reviews the anatomical characteristics of the scaphoid bone and its biomechanical behavior in different states,emphasizing the specific applications and advantages of micro-CT and finite element analysis techniques in the study of the scaphoid bone.By summarizing the research findings in recent years,this paper provides novel scientific basis and methods for the diagnosis,treatment,and prevention of scaphoid bone-related disorders.

Objective Through visual analysis of literatures related to the treatment of chronic glomerulonephritis(CGN),the research hotspots and trends in this field were discussed.Methods Relevant literatures from CNKI,Wanfang Data Knowledge Service Platform,VIP,SinoMed,PubMed from 2010 to 2024 were retrieved,and analyzed using CiteSpace 6.2.R4 software.Results A total of 8887 articles in Chinese and 117 articles in English were included.The countries,institutions and authors who published most were China,the Affiliated Hospital for Liaoning University of Traditional Chinese Medicine and Wang Yiping.The research hotspots mainly focued on therapeutic drugs and clinical efficacy,and the research trend tended to be the treatment mechanism.Conclusion To further strengthen collaboration among different countries,institutions and authors,and to delve deeper into the mechanistic studies of CGN,will effectively promote the research progress in this field.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

Objective Through visual analysis of literatures related to the treatment of chronic glomerulonephritis(CGN),the research hotspots and trends in this field were discussed.Methods Relevant literatures from CNKI,Wanfang Data Knowledge Service Platform,VIP,SinoMed,PubMed from 2010 to 2024 were retrieved,and analyzed using CiteSpace 6.2.R4 software.Results A total of 8887 articles in Chinese and 117 articles in English were included.The countries,institutions and authors who published most were China,the Affiliated Hospital for Liaoning University of Traditional Chinese Medicine and Wang Yiping.The research hotspots mainly focued on therapeutic drugs and clinical efficacy,and the research trend tended to be the treatment mechanism.Conclusion To further strengthen collaboration among different countries,institutions and authors,and to delve deeper into the mechanistic studies of CGN,will effectively promote the research progress in this field.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

Wuhutang is the 51st Chinese medicine prescription of Han ethnic group on in the catalogue of ancient classical prescriptions （the second batch） ，which originated from Renzhai' Straight Diections Prescriptions （《仁斋直指方》） by YANG Shiying in the Song dynasty，it is composed of 5 medicines， including Ephedrae Herba，Armeniacae Semen Amarum， Glycyrrhizae Radix et Rhizoma， tea and Gypsum Fibrosum. It treats shortness of breath and phlegm. Following the principle of textual research on the key information of ancient classical famous prescriptions， the author collected and recorded the ancient books of traditional Chinese medicine of Wuhutang with the method of Bibliometrics， and screened out 53 valid data， involving 41 ancient books. Based on the historical evolution， drug composition， main treatment of disease and syndrome， drug dosage， method of preparation and usage， drug origin and processing， the author conducted a dig and a systematic study of Wuhutang. The results show that：in the later generations， besides inheriting the original prescription， the composition of medicine was added or subtracted， and the frequency of addition of Mori Cortex was the most；in the treatment of disease and syndrome， most of them inherited the original prescription mainly treating asthma syndrome， also see in the treatment of asthma， cough and other lung disease， in the drug dosage and method of use ， it is suggested to inherit the original prescription， the dosage of each medicine is： Ephedrae Herba 2.89 g， Armeniacae Semen Amarum 4.13 g， Glycyrrhizae Radix et Rhizoma 1.65 g， tea 3.30 g， Gypsum Fibrosum 6.20 g， decoction， take warm clothes before eating；on the source of medcine，ephedra is made from the dried herbaceous stems of Ephedra sinica （Ephedraceae），bitter almond is made from the dried and mature seeds of Prunus armeniaca （Rosaceae），Licorice is made from the dried roots and rhizomes of Glycyrrhiza uralensis（Legumes）， tea is made from the buds leaves of Camellia sinensis（Camellia），plaster is made from Gypsum Fibrosum of sulfate mineral gypsum family. At the same time， we collected and sorted the modern clinical application literature of Wuhutang， and obtained 73 effective literatures， all of which are for the treatment of respiratory system diseases， especially for children's pneumonia and asthma， and mostly belong to"phlegm-heat obstructing the lung syndrome". Through the analysis and study of ancient books and modern applied literature， the historical evolution and prescription evolution of Wuhutang are clarified， and its key information is determined， in order to provide more accurate reference for the research and development of the classic Wuhutang and the rational addition and subtraction of the application.

Perimenopausal syndrome （MPS）， a common endocrine system disease， is one of the diseases responding specifically to traditional Chinese medicine （TCM）. The China Association of Chinese Medicine organized experts in endocrinology， gynecology， and interdisciplinary fields of both Western and Chinese medicine to discuss the advantages and challenges of diagnosing and treating MPS with Western medicine， TCM， and integrative medicine. Experts at the conference believe that MPS is initiated by estrogen decline and rooted in deficiency， with the pathogenesis being imbalance between Yin and Yang in the kidney. The hormone replacement therapy in Western medicine for menopause can rapidly alleviate related symptoms by quickly restoring the estrogen level and timely detect and delay complications of menopause， whereas such a therapy has certain risks， necessitating close monitoring of adverse reactions. Moreover， the various contraindications and precautions limit the clinical application of the hormone replacement therapy. TCM has advantages in synergistically alleviating symptoms such as hot flashes， sweating， sleep disorders， and emotional abnormalities of MPS without causing obvious adverse reactions. However， its efficacy is slower than the hormone replacement therapy， and the TCM evidence for preventing and treating complications of menopause remains unclear. Three suggestions were proposed for the future development of both Western and TCM for ameliorating MPS. First， an integrated diagnosis and treatment system for MPS with both Western and Chinese medicine should be established. Second， high-quality evidence-based interventions for MPS should be developed with TCM alone or in combination with Western medicine. Third， efforts should be made to promote the new TCM drug development and the interdisciplinary cooperation for treating MPS.

Objective:To propose a novel refined subtyping of Neer type Ⅵ proximal humerus fracture-dislocation and explore its clinical application.Methods:A retrospective study was conducted to analyze the data of 36 patients who had been admitted to Department of Orthopaedics, Beijing Friendship Hospital between January 2018 and December 2022 for surgical treatment with proximal humeral internal locking system (PHILOS) for Neer type Ⅵ proximal humerus fracture-dislocation. There were 25 males and 11 females with an age of (46.1±4.7) years. According to the fracture-dislocation and the separation between the humeral head and the stem, the patients with Neer type Ⅵ proximal humerus fracture-dislocation were further subdivided into 3 subtype groups (known as STAB subtypes): subtype-T group (dislocation of the shoulder joint with macro-capitellar fracture, n=14), subtype-A group (proximal humerus fracture-dislocation without separation of the humeral head from the humeral stem, n=12), and subtype-B group (dislocation of the proximal humerus fracture with separation of the humeral head from the humeral stem, n=10). STAB subtyping was performed on the same imaging data from all the patients at admission and 2 weeks later by 4 surgeons with different qualifications. Interobserver and intraobserver agreements of the STAB typing were verified. The operation time, fracture healing time, visual analogue scale (VAS) pain score, Constant-Murley score, and complications were recorded for patients in the 3 subtype groups. Results:The differences in the preoperative general data were not statistically significant between the 3 subtype groups, indicating comparability ( P>0.05). All patients were followed up for (11.2±4.2) months. The inter-observer and intra-observer Kappa values for STAB subtyping were 0.94 and 0.95, respectively. For subtype-T group, subtype-A group, and subtype-B group, respectively, the operation time was (68.9±5.6) min, (90.0±5.2) min, and (113.0±9.2) min; the fracture healing time was (9.0±0.8) weeks, (10.3±1.2) weeks, and (11.8±0.9) weeks; the VAS scores at the last follow-up were 1.0(1.0, 2.0) points, 2.0(1.0, 2.0) points, 2.0(2.0, 3.0) points; the Constant-Murley scores at the last follow-up were (83.6±2.8) points, (74.5±3.0) points, and (62.7±5.5) points. The differences between the 3 subtype groups in the above items were statistically significant ( P<0.05). The overall success rate of closed reduction was 61.1% (22/36). In subtype-T, subtype-A, and subtype-B groups, respectively, the number of patients with successful closed reduction was 13, 7, and 2, while complications occurred in 2, 3, and 6 patients. The differences in closed reduction and complications among the 3 groups were statistically significant ( P<0.05). Conclusions:The STAB subtyping proposed in this study demonstrates strong intra- and inter-group consistency. Because the refined STAB subtyping can reveal differences among all the Neer type Ⅵ proximal humeral fractures and dislocations, it may provide more precise guidance for personalized clinical decision-making.

BACKGROUND: Abnormal type I collagen (COL1) expression is associated with the development of many cardiovascular diseases. The TGF-beta/Smad signaling pathway and circRNAs have been shown to regulate COL1 gene expression, but the underlying molecular mechanisms are still not fully understood. METHODS: Gain- and loss-of-function experiments were prformed to study the effect of circZBTB46 on the expression of alpha 2 chain of type I collagen (COL1A2). Co-immunoprecipitation assay was performed to observe the interaction between two proteins. RNA immunoprecipitation assay and biotin pull-down assay were performed to observe the interaction of circZBTB46 with PDLIM5. RESULTS: In this study, we investigated the role of circZBTB46 in regulating COL1A2 expression in human vascular smooth muscle cells (VSMCs). We found that circZBTB46 is expressed in VSMCs and that TGF-beta inhibits circZBTB46 formation by downregulating KLF4 expression through activation of the Smad signaling pathway. CircZBTB46 inhibits the expression of COL1A2 induced by TGF-beta. Mechanistically, circZBTB46 mediates the interaction between Smad2 and PDLIM5, resulting in the inhibition of Smad signaling and the subsequent downregulation of COL1A2 expression. Furthermore, we found that the expression of TGF-beta and COL1A2 is decreased, while circZBTB46 expression is increased in human abdominal aortic aneurysm tissues, indicating that circZBTB46-mediated regulation of TGF-beta/Smad signaling and COL1A2 synthesis in VSMCs plays a crucial role in vascular homeostasis and aneurysm development. CONCLUSIONS CircZBTB46 was identified as a novel inhibitor of COL1 synthesis in VSMCs, highlighting the importance of circZBTB46 and PDLIM5 in regulating TGF-beta/Smad signaling and COL1A2 expression.