OBJECTIVE: To compare the effectiveness and shoulder function of reverse total shoulder arthroplasty (RTSA) and open reduction and internal fixation (ORIF) in the treatment of Neer three/four-part proximal humeral fractures in the elderly. METHODS: Randomized controlled analysis was conducted on 68 patients over 70 years old with Neer three/four-part proximal humeral fractures treated with RTSA or ORIF between January 2020 and June 2022. The patients were randomly divided into RTSA group ( n=32) and ORIF group ( n=36). There was no significant difference ( P>0.05) in the baseline data such as age, gender, body mass index, injured side, Neer classification, and preoperative Charlson comorbidity index, visual analogue scale (VAS) score, Constant shoulder score, Oxford shoulder score (OSS), and hemoglobin (Hb). The operation time, intraoperative blood loss, reduction of Hb on the 3rd day after operation, hospital stay, total cost of hospitalization, complication incidence, range of motion of shoulder joint at 2 years after operation, VAS score before operation and at 5 days and 1 month after operation, Constant shoulder score and OSS score before operation and at 2 years after operation, and imaging results during follow-up were recorded and compared between the two groups. RESULTS: Compared with the ORIF group, the RTSA group had longer operation time, less intraoperative blood loss, and higher total cost of hospitalization ( P<0.05). There was no significant difference in Hb reduction on the 3rd day after operation between the two groups ( P>0.05). The VAS scores significantly improved in both groups at 5 days and 1 month after operation ( P<0.05), but there was no significant difference between the two groups ( P>0.05). All patients were followed up 26-35 months, with an average of 31.2 months. In the RTSA group, there were 2 cases of poor healing of superficial incision and 1 case of transient nerve injury. There was no complication such as bone resorption around the prosthesis, lucent band, prosthesis loosening, or periprosthetic fracture in all patients. In the ORIF group, there was 1 case of poor healing of superficial incision, 3 cases of nonunion of fracture, 1 case of arthritis secondary to humeral head necrosis, and 1 case of bone absorption of large tuberosity, and no displacement or fracture failure of internal fixation was found in all patients. There was no significant difference in the incidence of complications [9.4% (3/32) vs 16.7% (6/36)] between the two groups [ OR (95% CI): 0.828 (0.171, 4.014), P=0.814]. In the RTSA group, 28 cases were graded 0 and 4 cases were graded 1 at 2 years after operation. Constant and OSS scores of RTSA group were significantly better than those of ORIF group ( P<0.05). The Constant score was significantly better than ORIF group in activity and strength, range of motion, lifting, abduction, and external rotation ( P<0.05), and there was no significant difference in pain, daily function, and internal rotation between the two groups ( P>0.05). The RTSA group had a significantly greater range of motion in lifting, abduction, and external rotation than ORIF group ( P<0.05), but there was no significant difference in internal rotation between the two groups ( P>0.05). CONCLUSION Application of RTSA as the initial treatment of Neer three/four-part proximal humeral fractures in the elderly can achieve better rehabilitation of joint activity and lower risk of early reoperation, and improve the quality of life of elderly fracture patients. However, the difficulty of revision and the high cost of treatment require the surgeon to pay full attention and strictly grasp the indications.
Humans ; Fracture Fixation, Internal/instrumentation* ; Male ; Female ; Shoulder Fractures/surgery* ; Arthroplasty, Replacement, Shoulder/methods* ; Aged ; Bone Plates ; Open Fracture Reduction/methods* ; Range of Motion, Articular ; Treatment Outcome ; Shoulder Joint/physiopathology* ; Aged, 80 and over ; Operative Time ; Postoperative Complications/epidemiology* ; Length of Stay

OBJECTIVE To optimize the water extraction technology for Kaixin granules. METHODS UPLC-MS/MS method was established for the simultaneous determination of ginsenoside Rg1， ginsenoside Re， ginsenoside Rb1， tenuifolin， polygalaxanthone Ⅲ and 3， 6′-disinapoyl-sucrose. An orthogonal test was designed with extraction times， extraction duration， and the volume of added water as factors. Using the contents of the aforementioned six indicator components and the extract yield as evaluation indexes， analytic hierarchy process-entropy weight method was employed to determine the combined weights of each indicator. Subsequently， process optimization and validation were conducted by integrating grey relational analysis （GRA） and back propagation （BP） neural network. RESULTS The water extraction technology optimized by the orthogonal test and GRA was 10- fold water for the first decoction and 8-fold water for the subsequent two， extracting 3 times，extracting for 1 h each time； the average comprehensive score of the validation experiment was 91.10 （RSD＝0.31%， n＝3）. The water extraction technology optimized by BP neural network was extracting 3 times with 10-fold water added each time， extracting for 1.5 h each time； the average comprehensive score of the validation experiment was 95.89 （RSD＝0.73%， n＝3）. Considering practical production requirements， the optimal water extraction technology was extraction performed three times， with 10-fold water for the first decoction and 8-fold water for the subsequent two extractions， with an extraction time of 1 h each. CONCLUSIONS The optimized water extraction technology for Kaixin granules is stable and feasible.

AIM:The aim of our study is to investigate the metabolic profile differences during cervical lesion progression and evaluate their potential clinical value in assisting the diagnosis of cervical cancer(CC).METHODS:Ul-tra-high-performance liquid chromatography coupled with high-resolution mass spectrometry(UHPLC-HRMS)was em-ployed to conduct non-targeted metabolomic analysis of cervical swab samples from 43 CC patients,34 high-grade squa-mous intraepithelial lesion(HSIL)patients,and 43 healthy controls.Based on the distinct features among the three groups,principal component analysis(PCA)was used to identify the metabolic differences among CC,HSIL and healthy groups.MetaboAnalyst 5.0 was then employed to perform KEGG pathway enrichment analysis on the differential metabo-lites.Finally,random forest machine learning algorithm was used to construct classification prediction models for distin-guishing CC from healthy,HSIL from healthy,and CC from HSIL.The performance of these models was evaluated using receiver operating characteristic(ROC)curve analysis.RESULTS:A total of 1 543 metabolites were identified across the healthy,HSIL and CC groups after filtration,with 407 metabolites differing between the groups.The study found that metabolite PGE2 was present in all three groups,with its expression levels progressively increasing with the progression of cervical lesions.Differential metabolite enrichment analysis demonstrated that CC is associated with specific cancer-relat-ed metabolic pathways,including the tricarboxylic acid cycle,tyrosine metabolism,tryptophan metabolism,and the pen-tose phosphate pathways.Additionally,the study developed three prediction models based on metabolic products for diag-nosing HSIL and CC:the full model,the simplified model,and the PGE2 model.The results indicated that metabolites ex-hibited strong diagnostic efficiency.Both the full model and the simplified model effectively distinguished CC from HSIL,CC from healthy,and HSIL from healthy.The AUC values for the full model were 0.90,0.92 and 0.84,respectively,while those for the simplified model were 0.81,0.95 and 0.85,respectively.Furthermore,the PEG2 model achieved AUC values of 0.74 and 0.80 for distinguishing CC from healthy and HSIL from healthy,respectively.CONCLUSION:The metabolic profiles of cervical cancer exhibit significant differences during the progression of cervical cancer,and these metabolites hold potential clinical value as biomarkers for cervical lesions.

Background and Purpose:Previous studies have investigated the prognostic significance of skeletal muscle and adipose tissue composition and distribution in colorectal cancer patients,yet most have not differentiated between rectal and colon cancer patient cohorts.This study aimed to explore the relationship between body composition and long-term prognosis,and to develop a postoperative predictive model.Methods:Clinical data of rectal cancer patients who underwent surgical treatment at Qingdao University Affiliated Hospital from January 2018 to December 2021 were retrospectively collected.Inclusion criteria:①Age＞18 years;② Preoperative colonoscopy and pathological diagnosis of colorectal cancer;③ Complete surgical resection;④Abdominal computed tomography(CT)scan 1 month before surgery.Exclusion criteria:① Clinical data is missing;② Multiple metastases of tumors;③ Tumor T stage 0 or carcinoma in situ;④ Severe artifacts lead to poor quality CT imaging,making it difficult to distinguish between fat and muscle;⑤ Inability to obtain follow-up results.This study has been approved by the Medical Ethics Committee of the Affiliated Hospital of Qingdao University(approval number:QYFYWZLL30313),and informed consent has been waived in the ethical approval process.The skeletal muscle index(SMI)and subcutaneous adipose tissue index(SATI)were calculated by dividing the areas of skeletal muscle and subcutaneous fat observed on CT scans by the square of the patient's height.Univariate and multivariate COX regression analyses were conducted to identify risk factors influencing recurrence-free survival(RFS)and overall survival(OS)in rectal cancer patients.Based on the results of the multivariate analysis,a nomogram prediction model was developed,its predictive power and accuracy were assessed using the receiver operating characteristic(ROC)curve,calibration plots and decision curve analysis(DCA),and internal validation was conducted.Results:A total of 696 patients were included in this study,with 96(13.8%)patients experiencing postoperative recurrence and 89(12.8%)patients dying.Multivariate COX regression analysis showed that SMI,SATI,tumor T stage and N stage were independent factors affecting the postoperative RFS and OS of patients.Nomogram prediction models for RFS and OS in rectal cancer patients were constructed based on the above independent predictors.The area under ROC curve(AUC)for 3-,4-and 5-year RFS was 0.862,0.846 and 0.824,respectively;the AUC for 3-,4-and 5-year OS was 0.886,0.898 and 0.875,respectively.The models were evaluated using calibration curves and decision curves,and internal validation was performed,which showed that the prediction accuracy of the models was good.Conclusion:CT body composition is an independent predictor of RFS and OS in rectal cancer patients,and the nomogram model developed based on these factors demonstrates good predictive value for patient prognosis.

Background and Purpose:Previous studies have investigated the prognostic significance of skeletal muscle and adipose tissue composition and distribution in colorectal cancer patients,yet most have not differentiated between rectal and colon cancer patient cohorts.This study aimed to explore the relationship between body composition and long-term prognosis,and to develop a postoperative predictive model.Methods:Clinical data of rectal cancer patients who underwent surgical treatment at Qingdao University Affiliated Hospital from January 2018 to December 2021 were retrospectively collected.Inclusion criteria:①Age＞18 years;② Preoperative colonoscopy and pathological diagnosis of colorectal cancer;③ Complete surgical resection;④Abdominal computed tomography(CT)scan 1 month before surgery.Exclusion criteria:① Clinical data is missing;② Multiple metastases of tumors;③ Tumor T stage 0 or carcinoma in situ;④ Severe artifacts lead to poor quality CT imaging,making it difficult to distinguish between fat and muscle;⑤ Inability to obtain follow-up results.This study has been approved by the Medical Ethics Committee of the Affiliated Hospital of Qingdao University(approval number:QYFYWZLL30313),and informed consent has been waived in the ethical approval process.The skeletal muscle index(SMI)and subcutaneous adipose tissue index(SATI)were calculated by dividing the areas of skeletal muscle and subcutaneous fat observed on CT scans by the square of the patient's height.Univariate and multivariate COX regression analyses were conducted to identify risk factors influencing recurrence-free survival(RFS)and overall survival(OS)in rectal cancer patients.Based on the results of the multivariate analysis,a nomogram prediction model was developed,its predictive power and accuracy were assessed using the receiver operating characteristic(ROC)curve,calibration plots and decision curve analysis(DCA),and internal validation was conducted.Results:A total of 696 patients were included in this study,with 96(13.8%)patients experiencing postoperative recurrence and 89(12.8%)patients dying.Multivariate COX regression analysis showed that SMI,SATI,tumor T stage and N stage were independent factors affecting the postoperative RFS and OS of patients.Nomogram prediction models for RFS and OS in rectal cancer patients were constructed based on the above independent predictors.The area under ROC curve(AUC)for 3-,4-and 5-year RFS was 0.862,0.846 and 0.824,respectively;the AUC for 3-,4-and 5-year OS was 0.886,0.898 and 0.875,respectively.The models were evaluated using calibration curves and decision curves,and internal validation was performed,which showed that the prediction accuracy of the models was good.Conclusion:CT body composition is an independent predictor of RFS and OS in rectal cancer patients,and the nomogram model developed based on these factors demonstrates good predictive value for patient prognosis.

AIM:The aim of our study is to investigate the metabolic profile differences during cervical lesion progression and evaluate their potential clinical value in assisting the diagnosis of cervical cancer(CC).METHODS:Ul-tra-high-performance liquid chromatography coupled with high-resolution mass spectrometry(UHPLC-HRMS)was em-ployed to conduct non-targeted metabolomic analysis of cervical swab samples from 43 CC patients,34 high-grade squa-mous intraepithelial lesion(HSIL)patients,and 43 healthy controls.Based on the distinct features among the three groups,principal component analysis(PCA)was used to identify the metabolic differences among CC,HSIL and healthy groups.MetaboAnalyst 5.0 was then employed to perform KEGG pathway enrichment analysis on the differential metabo-lites.Finally,random forest machine learning algorithm was used to construct classification prediction models for distin-guishing CC from healthy,HSIL from healthy,and CC from HSIL.The performance of these models was evaluated using receiver operating characteristic(ROC)curve analysis.RESULTS:A total of 1 543 metabolites were identified across the healthy,HSIL and CC groups after filtration,with 407 metabolites differing between the groups.The study found that metabolite PGE2 was present in all three groups,with its expression levels progressively increasing with the progression of cervical lesions.Differential metabolite enrichment analysis demonstrated that CC is associated with specific cancer-relat-ed metabolic pathways,including the tricarboxylic acid cycle,tyrosine metabolism,tryptophan metabolism,and the pen-tose phosphate pathways.Additionally,the study developed three prediction models based on metabolic products for diag-nosing HSIL and CC:the full model,the simplified model,and the PGE2 model.The results indicated that metabolites ex-hibited strong diagnostic efficiency.Both the full model and the simplified model effectively distinguished CC from HSIL,CC from healthy,and HSIL from healthy.The AUC values for the full model were 0.90,0.92 and 0.84,respectively,while those for the simplified model were 0.81,0.95 and 0.85,respectively.Furthermore,the PEG2 model achieved AUC values of 0.74 and 0.80 for distinguishing CC from healthy and HSIL from healthy,respectively.CONCLUSION:The metabolic profiles of cervical cancer exhibit significant differences during the progression of cervical cancer,and these metabolites hold potential clinical value as biomarkers for cervical lesions.

Objectives:To investigate associations of triglyceride glucose (TyG) index and remnant cholesterol (RC) with carotid intima-media thickness (cIMT) in non-diabetes population, and to evaluate the predictive value of TyG combined with RC for cIMT.Methods:Non-diabetes adult subjects underwent physical examination in Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University from January 2021 to December 2021 were included retrospectively. According to the findings of carotid ultrasound examination, they were divided into cIMT thickening group (≥1 mm) and non-cIMT thickening group. Multivariate logistic regression analysis was used to identify the independent risk factors for cIMT thickening. The receiver operating characteristic (ROC) curve was used to evaluate the predictive value of TyG index combined with RC for cIMT thickening. Results:A total of 1 109 subjects were enrolled, including 640 males (57.7%), aged 56.44±14.58 years, and 626 (56.4%) had cIMT thickening. The age and male proportion of the cIMT thickening group were significantly higher than those of the non-cIMT thickening group, and there were significant differences in the quartiles distribution of RC and TyG index between the two groups (all P<0.001). Multivariate logistic regression analysis showed that RC (odds ratio 1.601, 95% confidence interval 1.162-2.207; P=0.004) and TyG index (odds ratio 1.807, 95% confidence interval 1.302-2.508; P<0.001) were the independent risk factors for cIMT thickening. ROC curve analysis showed that the area under the curve of TyG index combined with RC to predict cIMT thickening was 0.717 (95% confidence interval, 0.687-0.747), indicating higher diagnostic efficacy than TyG index and RC alone. Conclusion:TyG index and RC are associated with cIMT thickening in the non-diabetes population, and the combination of them had good predictive value for cIMT thickening.

Objective:To screen the differentially expressed exosomal miRNAs derived from liver cancer stem cells (LCSCs) and its effect on the malignant biological characteristics of liver cancer cells.Methods:miRNA expression profile chip was used to analyze the differentially expressed exosomal miRNA derived from LCSCs. The effects of miRNA on malignant phenotypes of LCSCs were identified. The cells were further treated with doxorubicin at different concentrations (0, 150, 300 μmol/L), and the expression level of miR-196a was detected by quantitative real-time PCR (qRT-PCR). The apoptosis of liver cancer cells cultured by exosomes derived from LCSCs (Exo-NC group) and exosomes derived from miR-196a inhibited LCSCs (Exo-Inhibitor group) and the activity of caspase3/7 under the action of exosomes from LCSCs were detected. Nude mice were randomly divided into Do-PBS group, Do-Exo-Inhibitor group and Do-Exo-NC group using random number table method, with 5 mice in each group, and the effect of miR-196a on nude mice xenograft tumor model with liver cancer cells was analyzed.Results:In this study, exosomes were isolated and purified from CD133 + Huh7 stem cell culture supernatant. miR-7162-3p, miR-1910-5, miR-3613-3p, miR-196a and miR-155-5p were up-regulated, while miR-1246 and miR-3613-5p were down-regulated. miR-7162-3p, miR-196a and miR-155-5p in exosomes had important effects on the self-renewal ability of LCSCs. miR-1910-5p, miR-196a and miR-155-5p had important effects on the invasion ability of liver cancer stem cells, among which miR-196a had the most significant inhibitory effect. Treatment for 24 h, the miR-196a expression level of the 0, 150 and 300 μmol/L doxorubicin was 0.96±0.05, 1.23±0.05 and 2.33±0.03 respectively, with a statistically significant difference ( F=996.90, P<0.001). Treatment for 48 h, the miR-196a expression level of the 0, 150 and 300 μmol/L doxorubicin were 1.02±0.07, 2.35±0.05 and 2.89±0.55 respectively, with a statistically significant difference ( F=303.00, P<0.001). When the concentration of doxorubicin was 0 and 300 μmol/L, the apoptosis rates of the Exo-NC group were 9.37%±0.19% and 11.64%±0.27%, and those of the Exo-Inhibitor group were were 18.80%±1.91% and 22.79%±1.57%, with statistically significant differences ( t=4.41, P=0.048; t=4.96, P=0.038). When doxorubicin was not used, the ratios of caspase3/7 in the Exo-NC group at 24 h and 48 h were 0.94±0.08 and 0.97±0.09, and those in the Exo-Inhibitor group were 1.56±0.01 and 1.58±0.01, with statistically significant differences ( t=11.41, P=0.008; t=6.07, P=0.026). Under 300 μmol/L doxorubicin, the ratios of caspase3/7 in the Exo-NC group at 24 h and 48 h were 0.95±0.07 and 1.36±0.08, and those in the Exo-Inhibitor group were 2.84±0.08 and 3.20±0.14, with statistically significant differences ( t=24.20, P=0.002; t=15.78, P=0.004). The results of xenograft tumor in nude mice showed that the tumor volumes of Do-PBS, Do-Exo-Inhibitor and Do-Exo-NC groups increased successively, which were (1 051.86±89.90) mm 3, (1 310.91±86.66) mm 3 and (2 185.14± 352.34) mm 3 respectively, with a statistically significant difference ( F=30.28, P<0.001). The weights of the transplanted tumors in the 3 groups increased successively, which were (0.36±0.10) g, (0.39±0.12) g and (0.76±0.16) g respectively, with a statistically significant difference ( F=11.81, P=0.002). The expression of miR-196a in tumors was significantly decreased after miR-196a inhibitor transfection. The expression levels of the 3 groups were 1.05±0.16, 0.38±0.08 and 2.17±0.26, with a statistically significant difference ( F=48.93, P<0.001). Conclusion:The exosomal secreted by LCSCs can enhance the resistance of liver cancer cells to doxorubicin by miR-196a.

Objective:To investigate the effect and mechanism of miR-451 on the proliferation and migration of human colorectal cancer cell SW480 by targeting macrophage migration inhibitory factor (MIF).Methods:Microarray analysis was used to screen differentially expressed microRNAs and messenger RNA in SW480 cells. Real-time quantitative PCR (RT-qPCR) was used to detect the expressions of miR-451 and MIF in SW480 cells before and after transfection. Cell clone formation assay and Transwell assay were used to detect the proliferation and invasion of SW480 cells, respectively. Cell scratch assay was used to detect the migration ability of SW480 cells. The TargetScan database was used to analyze the correlation between miR-451 and MIF. Dual luciferase reporter gene was used to detect the interaction of miR-451 and MIF. MTT assay was used to detect the viability of SW480 cells.Results:Compared with human normal colorectal mucosal cell FHC (1.00), the expression of miR-451 was down-regulated in SW480 cells ( 0.36±0.18, P<0.001). Knockdown of miR-451 promoted proliferation, and migration of SW480 cells. Compared with that in FHC cells, MIF expression was up-regulated in SW480 cells (2.28±0.45, P<0.001). MIF down-regulation inhibited SW480 cell proliferation, invasion and migration. MiR-451 specifically bind to the MIF 3′UTR and regulated the expression of MIF. Overexpression of miR-451 reduced while overexpression of MIF increased the viability of SW480 cells. Overexpression of MIF promoted the proliferation and migration of SW480 cells ( P<0.01), reversed the effect of miR-451 suppressed proliferation and migration of SW480 cells. Conclusion:MiR-451 may regulate proliferation and migration of human colorectal cancer cells by targeting MIF.

Objective:To investigate the effect and mechanism of miR-451 on the proliferation and migration of human colorectal cancer cell SW480 by targeting macrophage migration inhibitory factor (MIF).Methods:Microarray analysis was used to screen differentially expressed microRNAs and messenger RNA in SW480 cells. Real-time quantitative PCR (RT-qPCR) was used to detect the expressions of miR-451 and MIF in SW480 cells before and after transfection. Cell clone formation assay and Transwell assay were used to detect the proliferation and invasion of SW480 cells, respectively. Cell scratch assay was used to detect the migration ability of SW480 cells. The TargetScan database was used to analyze the correlation between miR-451 and MIF. Dual luciferase reporter gene was used to detect the interaction of miR-451 and MIF. MTT assay was used to detect the viability of SW480 cells.Results:Compared with human normal colorectal mucosal cell FHC (1.00), the expression of miR-451 was down-regulated in SW480 cells ( 0.36±0.18, P<0.001). Knockdown of miR-451 promoted proliferation, and migration of SW480 cells. Compared with that in FHC cells, MIF expression was up-regulated in SW480 cells (2.28±0.45, P<0.001). MIF down-regulation inhibited SW480 cell proliferation, invasion and migration. MiR-451 specifically bind to the MIF 3′UTR and regulated the expression of MIF. Overexpression of miR-451 reduced while overexpression of MIF increased the viability of SW480 cells. Overexpression of MIF promoted the proliferation and migration of SW480 cells ( P<0.01), reversed the effect of miR-451 suppressed proliferation and migration of SW480 cells. Conclusion:MiR-451 may regulate proliferation and migration of human colorectal cancer cells by targeting MIF.