Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

Blinding is an important means to control and reduce measurement bias in clinical research， and blinding assessment is the main method to measure the success of the blinding method. By summarizing the current situation of blinding assessment in randomized controlled trials （RCT） of acupuncture， it was found that the report rate of blinding assessment by acupuncture RCT was relatively low， and the studies reporting blinding assessment had several problems， such as incomplete assessment individuals， unreasonable assessment questionnaires， and unscientific analysis methods， and the setting of the assessment time point is controversial. Given the above problems， this paper discussed the key elements of blinding assessment individuals， assessment questionnaires， assessment time points， and analysis methods. It is suggested that blinding assessment should be carried out on all blinded participants and personnel in the study； the assessment questionnaire should be designed by direct inquiry， with responses designed using three or more categorical options that include an "unclear" option； the early stage of the trial should be taken as the mandatory time point for assessment， integrating the evaluation index of the James blinding index and the Bang blinding index， in order to standardize the application of blinding assessment in acupuncture RCT and improve the quality of acupuncture clinical research.

Objective To construct a visual intelligent recognition model for Oncomelania hupensis robertsoni in Yunnan Province based on the EfficientNet-B4 model, and to evaluate the impact of data augmentation methods and model hyperparameters on the recognition of O. hupensis robertsoni. Methods A total of 400 O. hupensis robertsoni and 400 Tricula snails were collected from Yongsheng County, Yunnan Province in June 2024, and snail images were captured following identification and classification of 300 O. hupensis robertsoni and 300 Tricula snails. A total of 925 O. hupensis robertsoni images and 1 062 Tricula snail images were collected as a dataset and divided into a training set and a validation set at a ratio of 8:2, while 352 images captured from the remaining 100 O. hupensis robertsoni and 354 images from the remaining 100 Tricula snails served as an external test set. All acquired images were subjected to preprocessing, including cropping and resizing. Three data augmentation approaches were employed, including baseline, Mixup and Gaussian blurring, and model hyperparameters included two optimization algorithms of adaptive moment estimation (Adam) and stochastic gradient descent (SGD), two loss functions of focal loss and cross entropy loss, and two learning rate decay strategies of cosine annealing and multi-step. The intelligent recognition models of O. hupensis robertsoni and Tricula snails were constructed based on the EfficientNet-B4 model, and 7 training strategy groups were generated by combinations of different data augmentation approaches and hyperparameters. The performance of intelligent recognition models was tested with external test sets, and evaluated with accuracy, precision, recall, F1 score, loss, Youden’s index, and the area under the receiver operating characteristic curve (AUC) under different training strategies. Results The variation of loss values was comparable among intelligent recognition models with different data augmentation approaches. The Group 4 model constructed with Mixup and Gaussian blurring data augmentation approaches showed the optimal performance, with an accuracy of 90.38%, precision of 90.07%, F1 score of 89.44%, Youden’s index of 0.81 and AUC of 0.961 in the external test set. The accuracy of models using the SGD optimizer reduced by 29.16% as compared to those using the Adam optimizer (χ² = 81.325, P < 0.001), and the accuracy of models using the cross entropy loss function reduced by 0.80% as compared to the Group 4 model (χ² = 3.147, P > 0.05), while the accuracy of models using the multi-step learning rate decay strategy increased by 0.65% as compared to the Group 4 model (χ² = 0.208, P > 0.05). In addition, the model with the baseline + Mixup + Gaussianblurring data augmentation approach and hyperparameters of Adam optimizer, focal loss function and multi-step learning rate decay strategy showed the highest performance, with an accuracy of 91.03%, precision of 91.97%, recall of 88.11%, F1 score of 90.00%, Youden’s index of 0.82 and AUC values of 0.969 in external test set, respectively. Conclusions The intelligent recognition model of O. hupensis robertsoni based on EfficientNet-B4 model is accurate for identification of O. hupensis robertsoni and Tricula snails in Yunnan Province.

Background Results of genetic testing for antipsychotic drugs can guide the rational use of drugs in clinical practice and help improve the clinical symptoms of patients with schizophrenia.However,there is currently limited evidence in China regarding the impact of genetic testing results on medication adherence,social function and drug side effects of antipsychotic drug treatment.Objective To explore the improvement of clinical symptoms,medication adherence and social function in patients with schizophrenia under the guidance of antipsychotic drug gene testing results and examine the safety of drug treatment,so as to provide references for ifor precise treatment of schizophrenia patients.Methods Patients with acute schizophrenia who received hospitalization at Dazhou Minkang Hospital from July 2019 to August 2021 as well as met the diagnostic criteria of the International Classification of Diseases,tenth edition(ICD-10)were selected as research subjects(n=144).Based on random number table,subjects were divided into study group and control group,with 72 cases in each group.Control group received drug treatment based on the doctor's clinical experience,while study group received drug treatment based on the results of gene testing for antipsychotic drug.Both treatments lasted for 12 weeks.At baseline as well as 2,4,8 and 12 weeks after treatment,Positive and Negative Syndrome Scale(PANSS),8-item Morisky Medication Adherence Scale(MMAS-8),Social Functional Rating Scale(SFRS)and Treatment Emergent Symptom Scale(TESS)were adopted for assessment.Result Time effect and group effect of the reducing rate of PANSS,MMAS-8 and SFRS scores in the groups were statistically significant(Ftime=95.251,6.650,14.101,Fgroup=38.055,58.175,128.221,P<0.01).The interaction effect of the reduction rates of MMAS-8 scores in two groups was statistically significant(Finteraction=5.837,P<0.01).The group effect and interaction effect of the severity scores of drug side effects and patient pain scores in two groups were statistically significant(Fgroup=7.553,81.533,Finteraction=8.693,9.322,P<0.01).Conclusion In terms of improving clinical symptom relief,medication adherence,social function and drug side effects,medication for patients with schizophrenia guided by genetic testing of antipsychotic drugs may be more effective than that relying on medication based on clinical experience.

Objective:To compare the efficacy of conventional open ankle fusion and three dimensional(3D) printed guide plate assisted arthroscopic ankle fusion.Methods:A retrospective cohort study was performed on 256 patients with advanced traumatic ankle arthritis, who were admitted to the Department of Orthopaedics, Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from May 2018 to February 2023 and underwent ankle fusion procedures. The study cohort comprised 119 males and 137 females, with an age of (59.6±9.5) years (range: 37 to 83 years). Among them, 175 cases underwent internal fixation with plates and screws (58 cases through the combined medial and lateral approach, and 117 cases through the simple lateral approach), 48 cases underwent internal fixation with screws through the anterior approach (conventional open group), and 33 cases underwent minimally invasive arthroscopic ankle fusion assisted by 3D printed guide plate (3D printed guide plate arthroscopy group). Propensity score matching was employed to achieve a 1∶1 match(caliper value=0.02) between the baseline characteristics of patients in the 3D printed guide plate arthroscopy group and the conventional open group. Perioperative and follow-up data between the two groups were compared using the t-test, Mann-Whitney U test, Wilcoxon signed rank test, χ2 test or corrected χ2 test as appropriate. Results:Matching was successfully achieved with 20 cases in both the 3D printed guide plate arthroscopy group and the conventional open group, and there were no statistically significant differences in baseline characteristics between the two groups (all P>0.05). The operation time in the 3D printed guide plate arthroscopy group was significantly longer than that in the conventional open group ((88.9±5.6) minutes vs. (77.9±11.7) minutes; t=-2.392, P=0.022), while the frequency of intraoperative fluoroscopies ((1.7±0.8) times vs. (5.2±1.2) times; t=10.604, P<0.01) and length of hospitalization ((5.5±0.9) days vs. (6.4±1.5) days; t=2.480, P=0.018) were significantly lower in the 3D printed guide plate arthroscopy group compared to the conventional open group. The fusion rate was 95.0% (19/20) in the 3D printed guide plate arthroscopy group and 85.0% (17/20) in the conventional open group, with no statistically significant difference between the two groups ( χ2=0.278, P=0.598). The fusion time was (12.1±2.0) weeks in the conventional open group and (11.1±1.7) weeks in the 3D printed guide plate arthroscopy group, with no statistically significant difference between the two groups ( t=1.607, P=0.116). At the final follow-up, the American Orthopedic Foot and Ankle Society ankle hindfoot scale was (72.6±5.5)points in the 3D printed guide plate arthroscopy group and (70.5±5.8)points in the conventional open group, with no statistically significant difference between the two groups ( t=-1.003, P=0.322). The pain visual analogue score of the 3D printed guide plate arthroscopy group was ( M(IQR)) 1.50 (1.00) points, lower than that of the conventional open group by 3.00 (1.00) points, with statistically significant differences ( Z=-3.937, P<0.01). There was no significant difference in complication rate between the conventional open group and the 3D printed guide plate arthroscopy group (25.0%(5/20) vs. 5.0%(1/20), χ2=1.765， P=0.184). Conclusion:3D printed guide plate assisted arthroscopic ankle fusion exhibited several advantages, including reduced frequency of fluoroscopies, alleviation of postoperative pain, and decreased complications and length of hospitalization.

To investigate the expression of mRNA in esophageal cancer (ESCA) tissues and its potential and diagnostic and prognostic value by high-throughput sequencing data. Using the Cancer Genome Atlas Program (TCGA) database in USA by integrative bioinformatics analysis methods, the gene expression profiles and clinical data of 173 patients with ECSA were collected. The mRNA expression levels in ESCA tissue and para-cancerous tissue samples were analyzed using DESeq2, edgeR and limma to screen the differentially expressed genes (DEGs). DEGs-related protein network diagrams were drawn. GO and KEGG function enrichment analysis were performed and the hub genes were screened and the survival analysis of hub genes was analyzed. Genes related to the prognosis of ESCA were selected and their prognostic value in ESCA was analyzed. Finally, the receiver operating characteristic curve was drawn to evaluate its diagnostic value. The results showed that using TCGA cancer data, a total of 620 up-regulated DEGs and 668 down-regulated DEGs with significant differential expression between ESCA and para-cancerous tissues were screened. DEGs were mainly involved in receptor complexes, ubiquitin ligase complexes, etc., playing GTPase activity, phospholipid binding, and other molecular functions, and participating in the regulation of intracellular substance transport, small molecule metabolism, and other biological processes. Protein functional enrichment analysis showed that these proteins were mainly enriched in the IL-17 signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, Epstein-Barr virus infection, neutrophil extracellular trap formation, and other pathways involved in the formation and development process of ESCA. Survival analysis showed that the overall survival rate of ESCA patients with high expression of KIF4A, RAD51AP1, and CDKN3 was significantly shortened, and the difference was statistically significant ( P<0.05). Furthermore, the areas under the curve (AUC) of KIF4A, RAD51AP1, and CDKN3 for diagnosing esophageal cancer were 0.956, 0.951 and 0.979, respectively, with sensitivities and specificities both exceeding 80%. Additionally, ROC results of the combined diagnostic model of these three genes showed an AUC of 0.979, with sensitivities and specificities of 0.914 and 1, respectively. This indicates that KIF4A, RAD51AP1 and CDKN3 have individual or combined auxiliary diagnostic value for ESCA. In conclusion, KIF4A, RAD51AP1 and CDKN3 have high diagnostic efficiency for ESCA, and their increased expression is closely related to the prognosis, suggesting that these three genes could be used as auxiliary diagnostic and prognostic factors for ESCA.

Objective:To evaluate inflammation early in the infarct zone and its dynamic changes after acute myocardial infarction (AMI) using 18F-FDG PET imaging, and analyze its relationship with left ventricular remodeling progression (LVRP). Methods:Sixteen Bama miniature pigs (4-6 months old, 8 females) were selected. AMI models were established by balloon occlusion of the left anterior descending artery. 18F-FDG PET imaging was performed before AMI and at days 1, 5, 8, and 14 post-AMI to evaluate the regional inflammation response. 18F-FDG SUV ratio (SUVR) and the percentage of uptake area of left ventricle (F-extent) in the infarct zone, and the SUVRs of the spleen and bone marrow, were measured. Echocardiography and 99Tc m-methoxyisobutylisonitrile(MIBI) SPECT myocardial perfusion imaging (MPI) were performed at the above time points and on day 28 post-AMI to assess left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), left ventricular ejection fraction (LVEF), and myocardial perfusion defect extent. The degree of LVRP at day 28 post-AMI was defined as ΔLVESV(%)=(LVESV AMI 28 d-LVESV AMI 1 d)/LVESV AMI 1 d×100%. Data were analyzed using repeated measures analysis of variance, Kruskal-Wallis rank sum test and Pearson correlation analysis. Results:Twelve pigs were successfully modeled and completed the study. Inflammation in the infarct zone persisted until day 14 post-AMI. The SUVR of the infarct zone pre-AMI and at days 1, 5, 8, and 14 post-AMI were 1.03±0.08, 3.49±1.06, 2.93±0.90, 2.38±0.76, and 1.63±0.62, respectively ( F=49.31, P<0.001). The F-extent values in the infarct zone pre-AMI and at days 1, 5, 8, and 14 post-AMI were 0, (40.08±12.46)%, (40.00±12.76)%, (31.08±12.82)%, and 16.50%(7.25%, 22.00%), respectively ( H=37.61, P=0.001). There were no significant differences in the SUVRs of bone marrow and spleen before and after AMI ( F values: 0.69 and 0.77, both P>0.05). At day 1 post-AMI, both SUVR and F-extent in the infarct zone were significantly correlated with LVRP ( r values: 0.82 and 0.70, P values: 0.001 and 0.035). Conclusions:18F-FDG PET imaging can be used to evaluate inflammation in the infarct area and its dynamic changes after AMI. Inflammation in the infarct area is severe at day 1, and then gradually decreases. The extent and severity of inflammation visible on 18F-FDG PET imaging 1 d after AMI are closely related to LVRP.

To investigate the expression of mRNA in esophageal cancer (ESCA) tissues and its potential and diagnostic and prognostic value by high-throughput sequencing data. Using the Cancer Genome Atlas Program (TCGA) database in USA by integrative bioinformatics analysis methods, the gene expression profiles and clinical data of 173 patients with ECSA were collected. The mRNA expression levels in ESCA tissue and para-cancerous tissue samples were analyzed using DESeq2, edgeR and limma to screen the differentially expressed genes (DEGs). DEGs-related protein network diagrams were drawn. GO and KEGG function enrichment analysis were performed and the hub genes were screened and the survival analysis of hub genes was analyzed. Genes related to the prognosis of ESCA were selected and their prognostic value in ESCA was analyzed. Finally, the receiver operating characteristic curve was drawn to evaluate its diagnostic value. The results showed that using TCGA cancer data, a total of 620 up-regulated DEGs and 668 down-regulated DEGs with significant differential expression between ESCA and para-cancerous tissues were screened. DEGs were mainly involved in receptor complexes, ubiquitin ligase complexes, etc., playing GTPase activity, phospholipid binding, and other molecular functions, and participating in the regulation of intracellular substance transport, small molecule metabolism, and other biological processes. Protein functional enrichment analysis showed that these proteins were mainly enriched in the IL-17 signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, Epstein-Barr virus infection, neutrophil extracellular trap formation, and other pathways involved in the formation and development process of ESCA. Survival analysis showed that the overall survival rate of ESCA patients with high expression of KIF4A, RAD51AP1, and CDKN3 was significantly shortened, and the difference was statistically significant ( P<0.05). Furthermore, the areas under the curve (AUC) of KIF4A, RAD51AP1, and CDKN3 for diagnosing esophageal cancer were 0.956, 0.951 and 0.979, respectively, with sensitivities and specificities both exceeding 80%. Additionally, ROC results of the combined diagnostic model of these three genes showed an AUC of 0.979, with sensitivities and specificities of 0.914 and 1, respectively. This indicates that KIF4A, RAD51AP1 and CDKN3 have individual or combined auxiliary diagnostic value for ESCA. In conclusion, KIF4A, RAD51AP1 and CDKN3 have high diagnostic efficiency for ESCA, and their increased expression is closely related to the prognosis, suggesting that these three genes could be used as auxiliary diagnostic and prognostic factors for ESCA.

Objective:To compare the efficacy of conventional open ankle fusion and three dimensional(3D) printed guide plate assisted arthroscopic ankle fusion.Methods:A retrospective cohort study was performed on 256 patients with advanced traumatic ankle arthritis, who were admitted to the Department of Orthopaedics, Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine from May 2018 to February 2023 and underwent ankle fusion procedures. The study cohort comprised 119 males and 137 females, with an age of (59.6±9.5) years (range: 37 to 83 years). Among them, 175 cases underwent internal fixation with plates and screws (58 cases through the combined medial and lateral approach, and 117 cases through the simple lateral approach), 48 cases underwent internal fixation with screws through the anterior approach (conventional open group), and 33 cases underwent minimally invasive arthroscopic ankle fusion assisted by 3D printed guide plate (3D printed guide plate arthroscopy group). Propensity score matching was employed to achieve a 1∶1 match(caliper value=0.02) between the baseline characteristics of patients in the 3D printed guide plate arthroscopy group and the conventional open group. Perioperative and follow-up data between the two groups were compared using the t-test, Mann-Whitney U test, Wilcoxon signed rank test, χ2 test or corrected χ2 test as appropriate. Results:Matching was successfully achieved with 20 cases in both the 3D printed guide plate arthroscopy group and the conventional open group, and there were no statistically significant differences in baseline characteristics between the two groups (all P>0.05). The operation time in the 3D printed guide plate arthroscopy group was significantly longer than that in the conventional open group ((88.9±5.6) minutes vs. (77.9±11.7) minutes; t=-2.392, P=0.022), while the frequency of intraoperative fluoroscopies ((1.7±0.8) times vs. (5.2±1.2) times; t=10.604, P<0.01) and length of hospitalization ((5.5±0.9) days vs. (6.4±1.5) days; t=2.480, P=0.018) were significantly lower in the 3D printed guide plate arthroscopy group compared to the conventional open group. The fusion rate was 95.0% (19/20) in the 3D printed guide plate arthroscopy group and 85.0% (17/20) in the conventional open group, with no statistically significant difference between the two groups ( χ2=0.278, P=0.598). The fusion time was (12.1±2.0) weeks in the conventional open group and (11.1±1.7) weeks in the 3D printed guide plate arthroscopy group, with no statistically significant difference between the two groups ( t=1.607, P=0.116). At the final follow-up, the American Orthopedic Foot and Ankle Society ankle hindfoot scale was (72.6±5.5)points in the 3D printed guide plate arthroscopy group and (70.5±5.8)points in the conventional open group, with no statistically significant difference between the two groups ( t=-1.003, P=0.322). The pain visual analogue score of the 3D printed guide plate arthroscopy group was ( M(IQR)) 1.50 (1.00) points, lower than that of the conventional open group by 3.00 (1.00) points, with statistically significant differences ( Z=-3.937, P<0.01). There was no significant difference in complication rate between the conventional open group and the 3D printed guide plate arthroscopy group (25.0%(5/20) vs. 5.0%(1/20), χ2=1.765， P=0.184). Conclusion:3D printed guide plate assisted arthroscopic ankle fusion exhibited several advantages, including reduced frequency of fluoroscopies, alleviation of postoperative pain, and decreased complications and length of hospitalization.

Objective:To investigate the effects of sclerostin (SOST) and WNT/CTNNB1 signaling pathway on the cell cycle, migration and invasion of human uveal melanoma (UM) cells and its related mechanism.Methods:UM tissues from 20 cases of epithelioid UM and 16 cases of spindle cell type UM were collected.The contents of SOST, Wnt-1 and Catenin beta-1 proteins in the collected tissues were detected by immunohistochemical staining.Three human UM tissue derived cell lines OCM-1 (primary spindle cell type), Mum-2B (metastatic epithelioid) and Mum-2C (metastatic spindle cell type) were selected and divided into three groups, blank control group not transfected, empty vector group transfected with SOST negative control vector and SOST siRNA group transfected with SOST siRNA.After 24-hour transfection, the mRNA and protein expression levels of SOST, CTNNB1, WNT protein family 1 (WNT1), CCND1, matrix metalloproteinase (MMP)2 and MMP9 were detected by real-time fluorescence quantitative PCR and Western blot, respectively.The invasion and migration ability of the transfected cells were measured by transwell method, and the cell cycle distribution was detected by flow cytometry.Another 9 female BALB/c nude mice were selected and randomized into OCM-1 group, OCM-1 empty vector group and SOST shRNA group, inoculated with OCM-1 without lentivirus infection, OCM-1 with blank lentivirus infection and OCM-1 with SOST shRNA lentivirus infection, respectively.Six weeks after inoculation, the in situ formation of tumor was observed.The interaction between SOST and low density lipoprotein receptor related protein(LRP)-5/6 in OCM-1 cells was explored by co-immunoprecipitation assay.The study protocol was approved by the Ethics Committee of Tianjin Medical University Eye Hospital (2018KY[L]-20).Results:Immunohistochemical staining results showed that the SOST expression level was higher and the expression levels of Wnt-1 and Catenin beta-1 were lower in spindle cell type UM tissues than in epithelioid UM tissues, and the differences were all statistically significant (all at P<0.01). The real-time fluorescence quantitative PCR results showed that the relative expression of SOST mRNA was significantly lower and the relative expressions of CCND1, WNT1 and MMP9 mRNA were significantly higher in SOST siRNA groups than in corresponding empty vector groups in the three cell lines (all at P<0.05). In OCM-1 and Mum-2C cell lines, the relative expressions of CTNNB1 mRNA were significantly higher in SOST siRNA groups than in empty vector groups (all at P<0.01). Western blot results showed that the relative expression of SOST protein was significantly lower and the relative expressions of Wnt-1, Catenin beta-1, cyclin-D1, MMP2 and MMP9 proteins were significantly higher in SOST siRNA groups than in empty vector groups (all at P<0.01). Transwell assay showed that the cell invasion and migration ability of SOST siRNA group was significantly higher than that of blank control group and empty vector group in the three cell lines (all at P<0.01). Flow cytometry showed that the proportion of G1-phase cells and the G1/S-phase ratio were significantly lower in SOST siRNA group than in blank control groups and empty vector groups (all at P<0.01). The eyeball volume of OCM-1 group, OCM-1 empty vector group and SOST shRNA group was (42.7±4.6), (49.0±22.9) and (135.2±32.7)mm 3, respectively, showing a significant overall difference ( F=19.963, P<0.01). The eyeball volume of SOST shRNA group was larger than that of OCM-1 group and OCM-1 empty vector group, and the differences were statistically significant (both at P<0.05). Co-immunoprecipitation results showed that SOST could interact with LRP-5 and LRP-6 by binding to them, respectively. Conclusions:Silencing SOST can promote the invasion and migration of UM cells, and increase the proportion of UM cells in the division phase.Silencing SOST can promote tumor growth in eyes of nude mice.SOST may play this function by interacting with the membrane receptor LRP-5/LRP-6 and then regulating the WNT/CTNNB1 signal pathway.