BACKGROUND:Three-dimensional(3D)Motion Capture Technology can build accurate,objective,and quantized medical virtual simulation model,which is conducive to clinical learners'precise and in-depth understanding and mastery of various traditional therapies.The virtual simulation model of traditional Chinese medicine based on the 3D Motion Capture Technology has been reported,but such a system of traditional Mongolian medicine therapy has not been reported.OBJECTIVE:To construct an interactive 3D visualization virtual simulation model based on the 3D Motion Capture Technology.METHODS:Motion capture data of the professor of Mongolian Medicine Department were collected using the 3D optical motion capture system(Motion Analysis)and Plantar Force Platform.The 3D motion model of brain vibration therapy was constructed using Motion Builder software,and the role model was constructed using Maya software matched with the action model.Unity3D software was used to build a virtual simulation system of Mongolian medical brain vibration therapy.The system integrated information on 3D animation,kinematic and dynamic parameters of Mongolian medical brain vibration therapy.RESULTS AND CONCLUSION:By using 3D Motion Capture Technology and Computer Simulation Technology to reconstruct the operation of Mongolian medical brain vibration therapy,it can display the posture of the operator and subject and record the key parameters of spatial position and changes of joint motion to obtain kinematic and dynamic parameters.The interactive 3D virtual simulation technology is used to realize the visual presentation of 3D virtual simulation of Mongolian medical brain vibration therapy.It lays a foundation for the standardization,digitization and visualization of Mongolian medical brain vibration therapy.

Objective:To establish the reference interval of 12 types of cytokines(IL-1β,IL-2,IL-4,IL-5,IL-6,IL-8,IL-10,IL-12p70,IL-17,IFN-γ,IFN-α,TNF-α)in adult plasma based on multiple microsphere flow immunofluorescence(MBFFI).Methods:A total of 140 healthy adult patients who were examined at Xuzhou Central Hospital between January 2022 and December 2023 were included in the study.Plasma cytokine levels were detected and reference intervals were established by the flow cytometer and the assay kits produced by Qingdao Raisecare Biotechnology Co.,Ltd and Jiangsu BioPredia Biotechnology Co.,Ltd.Results:All of the cytokines exhibited a non-normal distribution,and there was a discrepancy in the 95％reference interval between the two re-agents.The reference intervals for the 12 cytokine kits produced by Qingdao Raisecare Biotechnology Co.,Ltd.were as follows:IFN-α:<4.91 pg/ml,IL-12 p70:<1.95 pg/ml,IL-5:<12.72 pg/ml,IL-8:<60.68 pg/ml,IL-1β:<27.67 pg/ml,IL-2:<5.01 pg/ml,IL-4:<1.22 pg/ml,IL-6:<6.11 pg/ml,TNF-α:<2.92 pg/ml,IL-17:<10.27 pg/ml,IL-10:<6.88 pg/ml,IFN-γ:<17.68 pg/ml.The reference intervals of the 12 cytokines produced by Jiangsu BioPredia Biotechnology Co.,Ltd.were as follows:IFN-α:<4.05 pg/ml,IL-12 p70:<7.33 pg/ml,IL-5:<7.80 pg/ml,IL-8:<13.24 pg/ml,IL-1β:<19.24 pg/ml,IL-2:<2.42 pg/ml,IL-4:<0.99 pg/ml,IL-6:<2.10 pg/ml,TNF-α:<0.87 pg/ml,IL-17:<1.42 pg/ml,IL-10:<1.10 pg/ml,IFN-γ:<1.34 pg/ml.Conclusion:In this study,the ref-erence range of two reagents for the detection of 12 kinds of cytokines in plasma of healthy adults is established by MBFFI,which pro-vides a valuable reference for the diagnosis and treatment of clinical-related diseases.

Objective:To investigate the application value of combined detection of urine genes Twist1,Onecut2,VIM methyl-ation and folate metabolism related genes MTHFR(C677T/A1298C),MTRR(A66G)polymorphisms in the screening and diagnosis of bladder cancer.Methods:A total of 134 patients with primary bladder cancer admitted to the Department of Urology of Qingyang Peo-ple's Hospital and the Second Hospital of Lanzhou University from January 2023 to January 2024 were selected(bladder cancer group),and a total of 130 patients with common benign urinary system diseases and other malignant tumors of urinary system treated with cystoscopy were admitted during the same period(control group).Methylation-specific polymerase chain reaction was used to de-tect the methylation of Twist1,Onecut2 and VIM genes in urine shed cells.PCR fluorescence probe fusion was used to detect the poly-morphism of folate metabolism-related genes in peripheral blood of patients,and collected the clinical data and immunological indica-tors,and to all the data for statistical analysis.Results:The methylation rates of hematuria,bladder irritation,Twist1,Onecut2 and VIM genes were significantly different between two groups(P<0.05).The area under ROC curve(AUC)of Twist1,Onecut2 and VIM genes methylation and their combined detection were 0.721,0.675,0.674 and 0.772,respectively.Sensitivity and specificity were 73.20%and 71.00%,56.10%and 79.00%,48.80%and 86.00%,80.50%and 69.00%,respectively.The AUC of hematuria and blad-der irritation were 0.661 and 0.652.The sensitivity and specificity were 60.20%and 72.00%,41.50%and 89.00%,respectively.The combined AUC of all indicators were the largest(0.858),and the sensitivity and specificity were higher.The frequencies of CC,CT,TT,and T alleles of MTHFR C677T in bladder cancer group were 21.64%,41.79%,36.56%and 57.46%,respectively.Compared with the control group,the difference was statistically significant(P<0.05).The T allele frequency was significantly different between methylated and unmethylated Twist1 groups(P<0.05).Others differences were not statistically significant,and there was no signifi-cant association with gene methylation(P>0.05).Conclusion:The methylation of Twist1,Onecut2 and VIM genes are highly ex-pressed in the urine cells of patients with bladder cancer,and the combination of hematuria and bladder irritation has a high predictive value for the diagnosis of bladder cancer.The MTHFR(C677T)T allele is associated with the methylation of Twist1 gene and may be one of the risk factors for bladder cancer.

BACKGROUND:Three-dimensional(3D)Motion Capture Technology can build accurate,objective,and quantized medical virtual simulation model,which is conducive to clinical learners'precise and in-depth understanding and mastery of various traditional therapies.The virtual simulation model of traditional Chinese medicine based on the 3D Motion Capture Technology has been reported,but such a system of traditional Mongolian medicine therapy has not been reported.OBJECTIVE:To construct an interactive 3D visualization virtual simulation model based on the 3D Motion Capture Technology.METHODS:Motion capture data of the professor of Mongolian Medicine Department were collected using the 3D optical motion capture system(Motion Analysis)and Plantar Force Platform.The 3D motion model of brain vibration therapy was constructed using Motion Builder software,and the role model was constructed using Maya software matched with the action model.Unity3D software was used to build a virtual simulation system of Mongolian medical brain vibration therapy.The system integrated information on 3D animation,kinematic and dynamic parameters of Mongolian medical brain vibration therapy.RESULTS AND CONCLUSION:By using 3D Motion Capture Technology and Computer Simulation Technology to reconstruct the operation of Mongolian medical brain vibration therapy,it can display the posture of the operator and subject and record the key parameters of spatial position and changes of joint motion to obtain kinematic and dynamic parameters.The interactive 3D virtual simulation technology is used to realize the visual presentation of 3D virtual simulation of Mongolian medical brain vibration therapy.It lays a foundation for the standardization,digitization and visualization of Mongolian medical brain vibration therapy.

Objective:To establish the reference interval of 12 types of cytokines(IL-1β,IL-2,IL-4,IL-5,IL-6,IL-8,IL-10,IL-12p70,IL-17,IFN-γ,IFN-α,TNF-α)in adult plasma based on multiple microsphere flow immunofluorescence(MBFFI).Methods:A total of 140 healthy adult patients who were examined at Xuzhou Central Hospital between January 2022 and December 2023 were included in the study.Plasma cytokine levels were detected and reference intervals were established by the flow cytometer and the assay kits produced by Qingdao Raisecare Biotechnology Co.,Ltd and Jiangsu BioPredia Biotechnology Co.,Ltd.Results:All of the cytokines exhibited a non-normal distribution,and there was a discrepancy in the 95％reference interval between the two re-agents.The reference intervals for the 12 cytokine kits produced by Qingdao Raisecare Biotechnology Co.,Ltd.were as follows:IFN-α:<4.91 pg/ml,IL-12 p70:<1.95 pg/ml,IL-5:<12.72 pg/ml,IL-8:<60.68 pg/ml,IL-1β:<27.67 pg/ml,IL-2:<5.01 pg/ml,IL-4:<1.22 pg/ml,IL-6:<6.11 pg/ml,TNF-α:<2.92 pg/ml,IL-17:<10.27 pg/ml,IL-10:<6.88 pg/ml,IFN-γ:<17.68 pg/ml.The reference intervals of the 12 cytokines produced by Jiangsu BioPredia Biotechnology Co.,Ltd.were as follows:IFN-α:<4.05 pg/ml,IL-12 p70:<7.33 pg/ml,IL-5:<7.80 pg/ml,IL-8:<13.24 pg/ml,IL-1β:<19.24 pg/ml,IL-2:<2.42 pg/ml,IL-4:<0.99 pg/ml,IL-6:<2.10 pg/ml,TNF-α:<0.87 pg/ml,IL-17:<1.42 pg/ml,IL-10:<1.10 pg/ml,IFN-γ:<1.34 pg/ml.Conclusion:In this study,the ref-erence range of two reagents for the detection of 12 kinds of cytokines in plasma of healthy adults is established by MBFFI,which pro-vides a valuable reference for the diagnosis and treatment of clinical-related diseases.

Objective:To investigate the application value of combined detection of urine genes Twist1,Onecut2,VIM methyl-ation and folate metabolism related genes MTHFR(C677T/A1298C),MTRR(A66G)polymorphisms in the screening and diagnosis of bladder cancer.Methods:A total of 134 patients with primary bladder cancer admitted to the Department of Urology of Qingyang Peo-ple's Hospital and the Second Hospital of Lanzhou University from January 2023 to January 2024 were selected(bladder cancer group),and a total of 130 patients with common benign urinary system diseases and other malignant tumors of urinary system treated with cystoscopy were admitted during the same period(control group).Methylation-specific polymerase chain reaction was used to de-tect the methylation of Twist1,Onecut2 and VIM genes in urine shed cells.PCR fluorescence probe fusion was used to detect the poly-morphism of folate metabolism-related genes in peripheral blood of patients,and collected the clinical data and immunological indica-tors,and to all the data for statistical analysis.Results:The methylation rates of hematuria,bladder irritation,Twist1,Onecut2 and VIM genes were significantly different between two groups(P<0.05).The area under ROC curve(AUC)of Twist1,Onecut2 and VIM genes methylation and their combined detection were 0.721,0.675,0.674 and 0.772,respectively.Sensitivity and specificity were 73.20%and 71.00%,56.10%and 79.00%,48.80%and 86.00%,80.50%and 69.00%,respectively.The AUC of hematuria and blad-der irritation were 0.661 and 0.652.The sensitivity and specificity were 60.20%and 72.00%,41.50%and 89.00%,respectively.The combined AUC of all indicators were the largest(0.858),and the sensitivity and specificity were higher.The frequencies of CC,CT,TT,and T alleles of MTHFR C677T in bladder cancer group were 21.64%,41.79%,36.56%and 57.46%,respectively.Compared with the control group,the difference was statistically significant(P<0.05).The T allele frequency was significantly different between methylated and unmethylated Twist1 groups(P<0.05).Others differences were not statistically significant,and there was no signifi-cant association with gene methylation(P>0.05).Conclusion:The methylation of Twist1,Onecut2 and VIM genes are highly ex-pressed in the urine cells of patients with bladder cancer,and the combination of hematuria and bladder irritation has a high predictive value for the diagnosis of bladder cancer.The MTHFR(C677T)T allele is associated with the methylation of Twist1 gene and may be one of the risk factors for bladder cancer.

Objective:To investigate the potential molecular mechanisms of liver cancer cell-derived secretory autophagosomes, extracellular vesicles expressing LC3B (LC3B + EVs), in promoting the exhaustion of CD8 + T cells. Methods:The proportions of LC3B + EVs and PD-1 + CD8 + T cells in peripheral blood and ascites of liver cancer patients were measured by flow cytometry. Spearman correlation test was used to analyze the correlation between the proportions of LC3B + EVs and PD-1 + CD8 + T cells. Peripheral blood mononuclear cells (PBMCs) from healthy donors were treated with LC3B + EVs or heat shock protein 90α (HSP90α) blocking antibody-pretreated LC3B + EVs for 72 h in the presence of αCD3/CD28 antibodies and IL-2 in vitro. The proportions of PD-1 + CD8 + T and IFN-γ + CD8 + T cells and the concentrations of IL-2, TNF-α and IFN-γ in the supernatants were all detected by flow cytometry. Results:The proportions of LC3B + EVs and HSP90α + LC3B + EVs in plasma and ascites from liver cancer patients were significantly higher than those in healthy control group and non-cancerous ascites group. The level of plasma LC3B + EVs, especially HSP90α + LC3B + EVs, was significantly correlated with the percentage of exhausted PD-1 + CD8 + T cells. In addition, LC3B + EVs from human liver cancer cells up-regulated the percentage of exhausted CD8 + T cells in vitro. However, LC3B + EVs pretreated with HSP90α blocking antibody could significantly inhibit LC3B + EVs-induced CD8 + T cell exhaustion. Conclusions:Liver cancer cell-derived LC3B + EVs could effectively induce CD8 + T cell exhaustion mainly through the membrane-bound HSP90α.

Objective:To explore the clinical application and diagnosis of the long non-coding RNA plasmacytoma variant translocation gene 1 (PVT1) in plasma for rheumatoid arthritis (RA).Methods:One hundred and nineteen healthy individuals were designed as healthy control (HC), 158 patients with RA, 50 patients with systemic lupus erythematosus (SLE) and 50 patients with primary Sj?gren′s syndrome (pSS) were collected from Xuzhou Central Hospital. The plasma PVT1 of HC, RA, SLE and pSS patients and were determined by real time polymerase chain reaction (qRT-PCR). The t test of two independent-samples and One-Way analysis of variance (ANOVA) were used to compare the levels of plasma PVT1 in HC, RA, SLE and pSS patients. The correlation between PVT1 and RF, IL-6 and anti-CCP of RA patients were analyzed by Spearman's rank correlation test. Receiver operating characteristic (ROC) curves were used to identify the diagnostic performance of plasma PVT1 for RA. Results:Compared to HC [(1.32±1.22)], SLE [(1.15±0.83)] and pSS patients [(1.46±0.88)], the plasma PVT1 relative expression [(3.71±2.68)] were significantly increased in RA patients ( t=8.36, P<0.01; t=6.83, P<0.01; t=5.98, P<0.01). The PVT1 had a strong positive correlation with RF, IL-6 and anti-CCP( r=0.41, P<0.01; r=0.38, P<0.01; r=0.40, P<0.01). The area under curve (AUC) of plasma of PVT1 of RA was 0.79[95% CI(0.72, 0.85); P<0.01]. At the optimal cut-off of 1.97, the diagnostic sensitivity and specificity were 68.27% and 86.45%, and in this point provided better diagnostic accuracy. When combination PVT1 with RF, the AUC was 0.88[95% CI(0.83, 0.93); P<0.01], the sensitivity and specificity were 80.22% and 82.73%. Conclusion:Plasma PVT1 has potential diagnostic value for RA, which may become a new biomarker for the diagnosis for RA patients.

Objective:To investigate the clinical value of the long non-coding RNA HOXA terminal transcript antisense RNA (HOTTIP) for diagnosing pancreatic cancer (PC).Methods:PC tissue and adjacent normal tissue (>1 cm distant from cancer tissue) from 18 PC patients confirmed by pathology after surgery were collected from June 2017 to December 2018 in Xuzhou Central Hospital. Plasma samples from 78 PC patients clinically confirmed were collected, those from 78 healthy individuals were designed as healthy controls and those from 50 patients of liver cancer, 50 patients of colorectal cancer and 50 patients of gastric cancer were also collected as disease controls. HOTTIP expression in PC tissue and plasma of PC patients, disease controls and healthy controls was tested by real time quantitative polymerase chain reaction; the plasma CA19-9 level was tested by CLIA. The correlation between plasma HOTTIP, cancer tissue HOTTIP and plasma CA19-9 were analyzed, and the relationship between plasma HOTTIP and clinicopathological features was analyzed. The survival curves of patients with high and low expression of HOTTIP were drawn, and the difference of survival rates between the two groups was compared by log-rank test. Receiver operating characteristic (ROC) curves were drawn to calculate area under the ROC curve (AUC), and the diagnostic performance of plasma HOTTIP for PC was evaluated.Results:Compared to normal pancreatic tissue, the level of HOTTIP expression was significantly up-regulated in pancreatic cancer tissue (2.24±0.25 vs 0.62±0.11, P<0.001), the relative expression of plasma HOTTIP of PC, liver cancer, colorectal cancer, gastric cancer patients and healthy controls were 1.33±0.32, 0.57±0.17, 0.51±0.10, 0.41±0.09 and 0.54±0.05; HOTTIP level of PC patients was higher than that of liver cancer, colorectal cancer, gastric cancer patients and healthy controls (all P<0.05), but the difference on HOTTIP level between liver cancer, colorectal cancer, gastric cancer patients and healthy controls was not statistically significant. The plasma HOTTIP of PC patients had a strong positive correlation with plasma CA19-9 and also had a positive correlation with HOTTIP level in cancer tissue (all P<0.05); meanwhile the plasma level of HOTTIP was significantly correlated with TNM stage ( P=0.029), but not with sex, age, lymph node metastasis and tumor size. The median survival time of patients with high HOTTIP level was obviously lower than that of those with low HOTTIP level (15.9 months vs 30.6 months, P<0.05). The AUC of plasma HOTTIP for diagnosing PC was 0.81(95% CI 0.74-0.87). At the optimal cutoff value of 1.14, the diagnostic sensitivity, specificity and accuracy were 62%, 94% and 74%. By combining plasma HOTTIP with CA19-9, the diagnostic sensitivity, specificity and accuracy can be increased to 81%, 97% and 84%, respectively. Conclusions:Plasma HOTTIP level has a significant value in the diagnosis of PC.

Objective To explore the long non-coding RNA that ineract within dentridic cell (lnc-DC) in plasma as a novel bio-marker for primary Sj(o)grens syndrome (pSS).Methods Case-control study.One hundred and thirty-nine patients of pSS,50 patients of systemic lupus erythematosus(SLE) and 50 patients of rheumatoid arthritis(RA) were collected from Xuzhou Central Hospital from January 2017 to January 2018,and 78 healthy individuals were designed as healthy control.The plasma lnc-DC of pSS,SLE and RA patients and healthy control(HC)was determined by real time polymerase chain reaction (RT-PCR).The plasma levels of anti-SSA(anti-Sj(o)gren's syndrome type A) and anti-SSB(anti-Sj(o)gren's syndrome type B) were tested by ELISA.The correlation between lnc-DC and dry mouth,dry eyes,ESR,β2-microglobulin,anti-SSA and anti-SSB of pSS patients were analyzed by Spearman's rank correlation test.Receiver operating characteristic (ROC) curves were used to identify the diagnostic performance of plasma lnc-DC for pSS.Results Compared to healthy control (3.38 ± 0.44),the lnc-DC relative expression (6.82 ± 0.51) was significantly increased in pSS patients (t=4.78,P＜0.01).The lnc-DC had a strong positive correlation with dry mouth (r=0.81,P＜0.01),dry eyes(r=0.75,P＜0.01),ESR(r=0.73,P＜0.01),β2-microglobulin(r=0.63,P＜0.01),anti-SSA(r=0.45,P＜0.01)and anti-SSB(r=0.53,P＜0.01).The area under curve (AUC) of plasma of lnc-DC was 0.81,(95％ CI:0.71-0.90).When combination lnc-DC with anti-SSA and anti-SSB,the AUC is 0.86 (95％CI:0.78-0.94).At the optimal cut-off of 5.1,the diagnostic sensitivity and specificity were 0.73(95％CI:0.60-0.84) and 0.82 (0.66-0.92).And in this point may provided better diagnostic accuracy.Meanwhile,compared with SLE and RA patients,the plasma level of lnc-DC were higher,ROC curves of lnc-DC in pSS patients can distinguish pSS from other autoimmune disease such as SLE and RA.Conclusions Plasma lnc-DC can provide additional diagnostic information beyond other clinican characteristics such as dry mouth,dry eyes,ESR,β2-microglobulin,anti-SSA and anti-SSB.It can be used as a novel bio-marker for pSS patients,and also have significant values in diagnosis of pSS.