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.

ObjectiveTo investigate the potential mechanism of Shenqi Yiliu Formula （参芪抑瘤方） in treating precancerous lesions of gastric cancer （PLGC） by the Wnt/β-catenin signaling pathway. MethodsThe CCK-8 assay was used to determine the optimal intervention time for Shenqi Yiliu Formula drug-containing serum and the concentration of the Wnt/β-catenin pathway inhibitor XAV939 depends on the survival rate of AGS gastric cancer cell line. AGS cells were divided into the gastric cancer cell group （15% blank serum）， inhibitor group （selected concentration of XAV939）， high-dose Shenqi Yiliu Formula group （12% Shenqi Yiliu Formula drug-containing serum + 3% blank serum）， medium-dose Shenqi Yiliu Formula group （6% Shenqi Yiliu Formula drug-containing serum + 9% blank serum）， and low-dose Shenqi Yiliu Formula group （3% Shenqi Yiliu Formula drug-containing serum + 12% blank serum）. Each group was tested in triplicate. After culturing for 24 and 48 hours， cell migration and invasion were assessed by scratch assays； after a selected intervention period （48 hours）， cell cycle distribution was analyzed using flow cytometry， Ki67 protein levels were detected by immunofluorescence， the protein levels of Wnt， β-catenin， GSK-3β， and intranuclear T-cell specific factor（TCF） were measured by the protein immunoblotting assay， and the mRNA expressions of these above factors were determined by quantitative real-time PCR. ResultsThe optimal intervention time for Shenqi Yiliu Formula drug-containing serum was determined to be 48 hours， and the effective concentration of XAV939 was 20 μmol/L. Compared with the gastric cancer cell group， Shenqi Yiliu Formula at all doses reduced the cell migration rate at 24 and 48 hours （P＜0.05）， except for the low-dose group at 24 hours. Compared to the low-dose group at corresponding time points， high- and medium-dose Shenqi Yiliu Formula groups showed significantly reduced migration rates， particularly the high-dose group at 48 hours （P＜0.05）. Compared with the gastric cancer cell group， the high-dose Shenqi Yiliu Formula and inhibitor groups exhibited reduced protein and mRNA levels of Wnt， β-catenin， and TCF， along with reduced Ki67 protein levels and a decreased proportion of cells in the S and G2 phases of the cell cycle， but GSK-3β protein levels， GSK-3β mRNA expression， and the proportion of cells in the G1 phase increased （P＜0.05）. Compared to the inhibitor group， the high-dose Shenqi Yiliu Formula group showed a decreased proportion of G1-phase cells and an increased proportion of G2-phase cells （P＜0.05）， although differences in Wnt and β-catenin protein levels and mRNA expressions were not statistically significant （P＞0.05）. ConclusionShenqi Yiliu Formula drug-containing serum inhibits the migration and invasion of gastric cancer AGS cells and block the cell cycle at G1 phase， and its underlying mechanism may be related to the regulation of the Wnt/β-catenin signaling pathway.

[Objective] To analyze the serological characteristics and molecular biology results for a P^k phenotype. [Methods] One patient with P^k phenotype upon unexpected antibodies at Jining Blood Center in July 2022 was selected as the study subject. The blood groups and unexpected antibodies of the proband and his second son were identified using serological methods. The sequences of 3-β-N-acetylgalactosaminyltransferase gene (B3GALNT1) and the coding region of α-1,4-galactosyltransferase gene (A4GALT) were amplified and analyzed by PCR direct sequencing, and haploid sequence analysis was carried out on the variant sites of the B3GALNT1 gene. PROVEAN, SIFT, PolyPhen2 and Mutation Taster were used to analyze the effect of mutations on the protein. [Results] Serological test results suggested that the proband was a P2^k type, including anti-P antibody in his serum, and his son was the P2 phenotype. Sequencing analysis revealed that the proband had a compound heterozygous variants of the B3GALNT1 in c. 239T>A (p. Leu80Gln) and c. 433C>T (p. Arg145Ter). Further haploid analysis showed that the c. 239T>A had occurred in one haploid while c. 433C>T was present in the other haploid, and his son carried a heterozygous variant of c. 433C>T (p. Arg145Ter); the proband and his son all have homozygous mutation variants of the A4GALT in c. 903C>G. Bioinformatic analysis also predicted that the mutations were harmful to the protein function. [Conclusion] The compound heterozygous variants c. 239T>A (p. Leu80Gln) and c. 433C>T (p. Arg145Ter) in the B3GALNT1 gene may contribute to the P^k phenotype, of which the c. 239T>A variant has not been reported.

AIM: To investigate the efficacy of Yangyin Yiqi Decoction combined with polyethylene glycol eye drops on dry eye disease after cataract surgery and its effect on inflammatory factors in tears.METHODS:Prospective study. A total of 104 patients(104 eyes)with dry eye disease after cataract surgery admitted to our hospital from April 2022 to March 2024 were selected and randomly divided into two groups: 52 cases(52 eyes)in the control group were treated with polyethylene glycol eye drops; 52 cases(52 eyes)in the combined group were treated with Yangyin Yiqi Decoction combined with polyethylene glycol eye drops. The dry eye symptom score, tear film stability index, tear inflammatory factor level, ocular surface disease index score(OSDI)and clinical efficacy of the two groups were compared before and after treatment.RESULTS:There were 6 cases(6 eyes)lost to follow-up, and 3 cases(3 eyes)were lost to follow-up in each group, with a loss to follow-up rate of 5.8%. The total effective rate of treatment in the combination group was significantly higher than that in the control group(94% vs 80%, P=0.037), and the Schirmer I test(SIt)and tear film break-up time(BUT)were higher than those in the control group(all P<0.05), and the dry eye symptom score, corneal fluorescein staining(FL)score, IL-1β, TNF-α, hs-CRP levels in tears and OSDI score were lower than those in the control group(all P<0.05).CONCLUSION:The combination of Yangyin Yiqi Decoction and polyethylene glycol eye drops provides an effective treatment plan for patients with dry eye disease after cataract surgery. It can effectively alleviate dry eye symptoms, reduce eye discomfort, improve tear film stability and ocular surface status, and reduce inflammatory factors in tears.

ObjectiveTo develop a nomogram-based risk prediction model for chronic obstructive pulmonary disease (COPD) incidence among the community-dwelling population aged 40 years old and above, so as to provide targeted references for the screening and prevention of COPD. MethodsBased on a natural population cohort in suburban Shanghai, a total of 3 381 randomly selected participants aged ≥40 years underwent pulmonary function tests between July and October 2021. Cox stepwise regression analysis was used to develop overall and gender-specific risk prediction models, along with the construction of corresponding risk nomograms. Model predictive performance was evaluated using the C-indice, area under the curve (AUC) values, and Brier score. Stability was assessed through 10-fold cross-validation and sensitivity analysis. ResultsA total of 3 019 participants were included, with a median follow-up duration of 4.6 years. The COPD incidence density was 17.22 per 1 000 person-years, significantly higher in males (32.04/1 000 person-years) than that in females (7.38/1 000 person-years) (P<0.001). The overall risk prediction model included the variables such as gender, age, education level, BMI, smoking, passive smoking, and respiratory comorbidities. The male-specific model incorporated the variables such as age, BMI, respiratory comorbidities, and smoking, while the female-specific model included age, marital status, respiratory comorbidities, and pulmonary tuberculosis history. The C-indices for the overall, male-specific, and female-specific models were 0.829, 0.749, and 0.807, respectively. The 5-year AUC values were 0.785, 0.658, and 0.811, with Brier scores of 0.103, 0.176, and 0.059, respectively. Both 10-fold cross-validated C-indices and sensitivity analysis (excluding participants with a follow-up duration of <6 months) yielded C-indices were above 0.740. ConclusionThis study developed concise and practical overall and gender-specific COPD risk prediction models and corresponding nomograms. The models demonstrated robust performance in predicting COPD incidence, providing a valuable reference for identifying high-risk populations and formulating targeted screening and personalized management strategies.

Background::Total human immunodeficiency virus (HIV) DNA and integrated HIV DNA are widely used markers of HIV persistence. Droplet digital polymerase chain reaction (ddPCR) can be used for absolute quantification without needing a standard curve. Here, we developed duplex ddPCR assays to detect and quantify total HIV DNA and integrated HIV DNA.Methods::The limit of detection, dynamic ranges, sensitivity, and reproducibility were evaluated by plasmid constructs containing both the HIV long terminal repeat (LTR) and human CD3 gene (for total HIV DNA) and ACH-2 cells (for integrated HIV DNA). Forty-two cases on stable suppressive antiretroviral therapy (ART) were assayed in total HIV DNA and integrated HIV DNA. Correlation coefficient analysis was performed on the data related to DNA copies and cluster of differentiation 4 positive (CD4 +) T-cell counts, CD8 + T-cell counts and CD4/CD8 T-cell ratio, respectively. The assay linear dynamic range and lower limit of detection (LLOD) were also assessed. Results::The assay could detect the presence of HIV-1 copies 100% at concentrations of 6.3 copies/reaction, and the estimated LLOD of the ddPCR assay was 4.4 HIV DNA copies/reaction (95% confidence intervals [CI]: 3.6-6.5 copies/reaction) with linearity over a 5-log 10-unit range in total HIV DNA assay. For the integrated HIV DNA assay, the LLOD was 8.0 copies/reaction (95% CI: 5.8-16.6 copies/reaction) with linearity over a 3-log 10-unit range. Total HIV DNA in CD4 + T cells was positively associated with integrated HIV DNA ( r = 0.76, P <0.0001). Meanwhile, both total HIV DNA and integrated HIV DNA in CD4 + T cells were inversely correlated with the ratio of CD4/CD8 but positively correlated with the CD8 + T-cell counts. Conclusions::This ddPCR assay can quantify total HIV DNA and integrated HIV DNA efficiently with robustness and sensitivity. It can be readily adapted for measuring HIV DNA with non-B clades, and it could be beneficial for testing in clinical trials.

Background::Gastric cancer (GC), a malignant tumor with poor prognosis, is one of the leading causes of cancer-related deaths worldwide; consequently, identifying novel therapeutic targets is crucial for its corresponding treatment. NUF2, a component of the NDC80 kinetochore complex, promotes cancer progression in multiple malignancies. Therefore, this study aimed to explore the potential of NUF2 as a therapeutic target to inhibit GC progression. Methods::Clinical samples were obtained from patients who underwent radical resection of GC at Lanzhou University Second Hospital from 2016 to 2021. Cell count assays, colony formation assays, and cell-derived xenotransplantation (CDX) models were used to determine the effects of NUF2 on GC progression. Flow cytometry was used to detect the effect of NUF2 or quercetin on cell cycle progression and apoptosis. A live-cell time-lapse imaging assay was performed to determine the effect of NUF2 on the regulation of mitotic progression. Transcriptomics was used to investigate the NUF2-associated molecular mechanisms. Virtual docking and microscale thermophoresis were used to identify NUF2 inhibitors. Finally, CDX, organoid, and patient-derived xenograft (PDX) models were used to examine the efficacy of the NUF2 inhibitor in GC. Results::NUF2 expression was significantly increased in GC and was negatively correlated with prognosis. The deletion of NUF2 suppressed GC progression both in vivo and in vitro. NUF2 significantly regulated the mitogen-activated protein kinase (MAPK) pathway, promoted G2/M phase transition, and inhibited apoptosis in GC cells. Additionally, quercetin was identified as a selective NUF2 inhibitor with low toxicity that significantly suppressed tumor growth in GC cells, organoids, CDX, and PDX models. Conclusions::Collectively, NUF2-mediated G2/M phase transition and apoptosis inhibition promoted GC progression; additionally, NUF2 inhibitors exhibited potent anti-GC activity. This study provides a new strategy for targeting NUF2 to suppress GC progression in clinical settings.

Aim To explore the mechanism of Guso-ngYigu decoction(GSYG)in the treatment of postm-enopausal osteoporosis(PMOP)based on the gut mi-crobiota.Methods Sixty SPF grade SD rats were ran-domly divided into Control group(Control),Model group(Model),GSYG low-dose group(GSYG-L,1.25 g·kg-1),medium-dose group(GSYG-M,2.5 g·kg-1)and high-dose group(GSYG-H,5 g·kg-1)and alendronate group(Al,0.89 mg·kg-1),with 10 rats in each group.The changes of bone histomorpholo-gy were detected by HE staining and the changes of fe-mur tissue structure were observed by micro-CT.The fecal samples from the colon of Control group,Model group,GSYG-H group were taken to extract the DNA of fecal samples.The Illumina Miseq platform was used to carry out high-throughput sequencing.Results Compared with the Control group,bone trabecula in the Model group was sparse,BV/TV,Tb.Th,Tb.N and BMD decreased(P＜0.01),while SMI and Tb.Sp increased(P＜0.01);compared with the Model group,the number of bone trabeculae in GSYG-L,GSYG-M,GSYG-H group and Al group increased,the bone microstructure was improved,BV/TV,Tb.Th,Tb.N and BMD increased significantly(P＜0.05),and SMI and Tb.Sp increased(P＜0.05).Sequencing results of gut microbiota showed that,compared with the Control group,the gut microbiota diversity of Mod-el group decreased,the flora abundance of Firmicutes decreased,while the Bacteroidetes abundance in-creased.Compared with the Model group,the Firmi-cutes abundance increased and Bacteroidetes abundance decreased in GSYG-H group.Conclusions GSYG can improve bone microstructure and increase bone mineral density,and its mechanism may be related to increasing the diversity of gut microbiota and regulating the structure of gut microbiota.

Aim To investigate the effects of berberine(BBR)combined with 5'-n-ethylformamidoadenosine(NECA)on myocardial H9c2 and HL-1 cell damage induced by hypoxia/reoxygenation(H/R).Methods H9c2 and HL-1 cells were divided into the Control group,BBR group,NECA group,combined administra-tion group,H/R group,BBR+H/R group,NECA+H/R group,and combined administration+H/R group.CCK-8 was used to detect cell viability in each group.The TMRE kit was used to detect MMP.DCFH-DA was used to detect ROS content.The Mito SOX Red fluorescent probe was used to detect mitochondrial su-peroxide.The expressions of COX Ⅳ,Tom20,and Tim23 were detected by Western blot.The expression of COX Ⅳ and Tom20 genes was detected by qRT-PCR.Results In H9c2 cells,the cell viability and TMRE fluorescence intensity in the H/R group were significantly decreased compared with the Control group.The protein expressions of COX Ⅳ,Tom20,and Tim23,gene expressions of COX Ⅳ and Tom20,ROS,and mitochondrial superoxide contents were significant-ly increased.Compared with the H/R group,the cell viability of BBR and NECA were enhanced after ad-ministration alone.The contents of ROS and mitochon-drial superoxide were significantly decreased.In HL-1 cells,cell viability in the H/R group was significantly decreased compared with the Control group.The con-tents of ROS and mitochondrial superoxide were signifi-cantly increased.Compared with the H/R group,BBR and NECA alone and combined administration en-hanced cell viability.The contents of ROS and mito-chondrial superoxide were significantly decreased.Conclusion The administration of BBR and NECA a-lone or in combination can reduce the production of mi-tochondrial superoxide and cell ROS,thereby allevia-ting mitochondrial damage,alleviating oxidative stress damage,and ultimately reducing H/R-induced myocar-dial cell damage.

To evaluate the effectiveness and safety of implantable D-shant atrial shunt device in patients with severe pulmonary arterial hypertension(PAH)and right heart failure.A 53-year-old female patient diagnosed with severe idiopathic PAH and right heart failure,her WHO FC grade was Ⅳ.The right heart catheter and implantation of D-shant atrial shunt device were performed under local anesthesia on November 30,2021.A 6 mm×4 cm peripheral artery balloon was selected to dilate the atrial septum and a D-shant atrial shunt device with a fixed 4 mm diameter orifice was implanted into the heart.The clinical symptoms and hemodynamics of the patient was improved after the intervention.Implantation of atrial shunt device as a palliative therapy to established a right to left shunt is another strategy for treating patients with severe PAH in late period,which has good effectiveness and safety.It could be the last replacement therapy to improve symptoms and prolonged lives to drug resistant and severe PAH patients.