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BACKGROUND: With the continuous improvement and progress of artificial intelligence technology in the treatment of spinal deformity, a large number of studies have been invested in this field, but the main research status, hot spots and development trends are still unclear. OBJECTIVE: To visually analyze the literature related to artificial intelligence in the field of spinal deformities by using bibliometrics, identify the research hotspots and shortcomings in this field, and provide references for future research. METHODS: The core database of Web of Science was used to search the articles related to artificial intelligence in the field of spinal deformities published from inception to 2023. The data were visually analyzed by Citespace 5.6.R5 and VOSviewer 1.6.19. RESULTS AND CONCLUSION: (1) A total of 165 papers were included, and the number of papers published in this field showed a fluctuating upward trend. The author with the largest number of articles is Lafage V, and the country with the largest number of articles is China. (2) Keyword analysis results show that adolescent scoliosis, deep learning, classification, precision and robot are the main keywords. (3) The in-depth analysis results of co-cited and highly cited articles show that artificial intelligence has three hotspots in the field of spinal deformities, including the use of U-shaped architecture (a mature mode of deep learning convolutional neural networks) to automatically measure imaging parameters (Cobb angle and accurate segmentation of paraspinal muscles), multiview correlation network architecture (i.e., spine curvature assessment framework), and robot-guided spinal surgery. (4) In the field of artificial intelligence treatment of spinal malformations, the mechanism research such as genomics is very weak. In the future, unsupervised hierarchical clustering and other machine learning techniques can be used to study the basic mechanism of susceptibility genes in the field of spinal deformities by genome-wide association analysis and other genomics research methods. [ABSTRACT FROM AUTHOR]

BACKGROUND: The activation of NOD-like receptor thermal protein domain associated protein 3 (NLRP3) inflammasome has been found to be an important factor in the pathogenesis of gouty arthritis, and the activation of NLPR3 inflammasome can be effectively inhibited by regulating the PTEN-induced kinas 1 (PINK1)/Parkin signaling pathway. OBJECTIVE: To investigate the effect of Duhuo Jisheng Decoction on the PINK1/Parkin/NLRP3 signaling pathway. METHODS: (1) Animal experiment: Male Sprague-Dawley rats were randomly divided into control group, model group, positive control group (Qiushuixian tablets 0.3 mg/kg), and low-, medium-, and high-dose Duhuo Jisheng Decoction groups (6.9, 13.8, and 27.6 g/kg, respectively). A rat gouty arthritis model was constructed by injecting monosodium urate crystal suspension into the right hind ankle joint cavity of rats in all the groups except for the control group. (2) Cell experiment: Human monocytes (THP-1) were divided into blank control group, model group, Duhuo Jisheng Decoction-containing serum group, and PINK1 siRNA+Duhuo Jisheng Decoction-containing serum group. The cells in each group except the blank control group were stimulated with sodium urate to establish an in vitro gouty arthritis model. (3) The swelling degree, joint circumference, gait score, joint inflammation index and degree of pathological grading in the ankle joints of rats were observed. Enzyme-linked immunosorbent assay was used to detect the levels of uric acid, C-reactive protein, NLRP3, and interleukin 1β. Immunoblotting assay was used to detect the levels of proteins related to the PINK1/Parkin/NLRP3 pathway. Tetramethyl azolidine blue assay was used to detect cell activity. Immunofluorescent double staining was performed to detect the level of mitophagy. Immunofluorescence was used to detect the expression of NLRP3 and interleukin 1β. RESULTS AND CONCLUSION: (1) Compared with the control group, rats in the model group showed elevated ankle swelling and ankle circumference at 6-48 hours (P < 0.05), elevated gait scores and joint inflammation indexes at 24 and 48 hours (P < 0.05), elevated serum uric acid and C-reactive protein levels, degree of pathological classification, expression of PINK1, Parkin, and NLRP3 proteins, and interleukin 1β level in synovial tissues (P < 0.05). Compared with the model group, the protein expression levels of PINK1 and Parkin in all the Duhuo Jisheng Decoction groups were elevated, while the levels of the other indexes were decreased (P < 0.05). (2) Compared with the model group, NLRP3 activity, interleukin 1β level and mitochondrial outer membrane translocator protein 20 protein level in the Duhuo Jisheng Decoction-containing serum group were decreased (P < 0.05), while the proliferation inhibition rate, PINK1, Parkin and LC3B protein level were increased (P < 0.05). Compared with the model group, the mitochondrial autophagy level of cells in the Duhuo Jisheng Decoction-containing serum group was elevated (P < 0.05), while NLRP3 and interleukin 1β protein levels were decreased (P < 0.05). (3) Compared with the Duhuo Jisheng Decoction-containing serum group, the mitochondrial autophagy level of cells in the PINK1 siRNA+Duhuo Jisheng Decoction-containing serum group was decreased (P < 0.05), and the expression levels of NLRP3 and interleukin 1β were elevated (P < 0.05). To conclude, Duhuo Jisheng Decoction inhibits the activation of NLRP3 inflammasome by regulating the PINK1/Parkin signaling pathway, thereby exerting a therapeutic effect on gouty arthritis. [ABSTRACT FROM AUTHOR]

BACKGROUND: Interferon-γ (IFN-γ) and monocyte chemoattractant protein-1 (MCP-1) play an important role in bone immunity and are closely related to the occurrence of osteoporosis. However, few studies have reported the diagnostic value of IFN-γ and MCP-1 in osteoporosis. OBJECTIVE: To explore the predictive value of peripheral blood IFN-γ and McP-1 in postmenopausal osteoporosis. METHODS: A total of 71 subjects were collected from the Outpatient department of the Third Affiliated Hospital of Guangzhou University of Chinese Medicine from December 2019 to January 2021 according to the prospective case-control principle, who were divided into osteoporosis group (n=35) and control group (n=36). Baseline data and levels of IFN-γ and MCP-1 were compared between the two groups. Risk factors were analyzed by binary logistics regression analysis. The correlation between the levels of IFN-γ and MCP-1 and bone mineral density and bone mineral content were analyzed. Receiver operating characteristic curve (ROC) was used to evaluate the predictive efficacy of IFN-γ and MCP-1 in postmenopausal osteoporosis. RESULTS AND CONCLUSION: There were no significant differences in age, height, body mass, body mass index and menopause time between the two groups (P > 0.05), but significant differences existed in T value, lumbar bone mineral density, lumbar bone mineral content, overall bone mineral density and overall bone mineral content between the two groups (P < 0.05). The level of IFN-γ in the osteoporosis group was significantly lower than that in the control group (P < 0.05), while the level of MCP-1 was significantly higher than that in the control group (P < 0.05). Univariate and multivariate logistic regression analyses showed that IFN-γ and MCP-1 were independent risk factors for postmenopausal osteoporosis. Receiver operating characteristic curve further confirmed that IFN-γ and MCP-1 had good predictive value for postmenopausal osteoporosis (IFN-γ AUC=0.7992, MCP-1 AUC=0.8001). The critical predictive values (IFN-γ < 1 456 ng/L, sensitivity 100%, specificity 50%; MCP-1 > 365.9 ng/L, sensitivity 85.29%, specificity 67.57%) were determined. Indeed, IFN-γ value < 1456 ng/L and MCP-1 value > 365.9 ng/L suggest that there may be bone loss in postmenopausal women. [ABSTRACT FROM AUTHOR]