ObjectiveThis study aims to identify cuproptosis-related gene biomarkers in Alzheimer's disease（AD） using bioinformatics and machine learning methods， validate them at the clinical specimen level， and predict potential traditional Chinese medicine（TCM）. MethodsDifferentially expressed genes in the AD group and normal group were obtained using the Gene Expression Omnibus （GEO） database， and intersections were taken with reported cuproptosis-related genes to obtain differentially expressed cuproptosis-related genes. Machine learning methods were applied to identify core differential genes of cuproptosis in AD. Peripheral blood's single nucleated cells from clinical AD patients were collected， and the relative gene expression was clinically verified by real-time polymerase chain reaction（Real-time PCR）. Potential TCM regulating cuproptosis for AD were predicted by COREMINE database. ResultsA total of 12 cuproptosis-related genes were obtained， mainly involved in pathways of tricarboxylic acid cycle， 2-oxocarboxylic acid metabolism， and carbon metabolism. Five core cuproptosis-related genes， dihydrolipoamide dehydrogenase （DLD）， glutaminase （GLS）， pyruvate dehydrogenase E1 subunit beta （PDHB）， full name nuclear factor （erythroid-derived 2）-related factor 2 （NFE2L2）， and dihydrolipoamide branched-chain transacylase E2 （DBT） were finally screened using four machine methods. Thirty cases each of normal and AD patients were collected clinically. Compared with those in the normal group， minimum mental state examination （MMSE） and Montreal cognitive assessment （MoCA） were significantly decreased in the AD group （P<0.01）， Homocysteine（Hcy）， interleukin（IL）-6， C-reactive protein（CRP） ， and β amyloid protein（Aβ） indexes were significantly increased （P<0.01）， and malondialdehyde（MDA） indexes were decreased （P<0.05）. Superoxide dismutase（SOD） levels were significantly decreased （P<0.01）. The mRNA relative expressions of NFE2L2 and DBT were up-regulated （P<0.05）， and those of DLD， GLS， and PDHB were significantly down-regulated （P<0.01）. The TCM regulating cuproptosis-related genes for the treatment of AD were mainly based on the four Qi such as warmth， calmness， and cold， and the five flavors including bitterness， sweetness， and pungency， and it was attributed to the meridians of the liver， spleen， stomach， and kidney， with the efficacy of tonifying Qi， activating blood， eliminating phlegm， and resoling dampness. ConclusionDLD， GLS， NFE2L2， PDHB， and DBT can be used as novel diagnostic molecular markers for AD cuproptosis-related genes， and the corresponding potential therapeutic TCM can provide new ideas for the treatment of AD by TCM.

OBJECTIVE To explore the effects of ADRB1 Arg389Gly polymorphisms on the efficacy of bisoprolol， thus providing some information for individualized drug therapy. METHODS A systematic search was conducted in PubMed， Embase， Cochrane Library， CBM， CNKI， and Wanfang Data to retrieve and find out all relevant literature about bisoprolol and ADRB1 Arg389Gly polymorphism from the inception to May 2023. The retrieved literature was screened and selected according to the inclusive and exclusive criteria， thereafter quality assessment was conducted. RevMan 5.4 software was utilized to perform the meta- analysis for the outcome index. RESULTS Overall 7 literature with 1 339 cases were included. Among them， 4 studies provided the changes in systolic blood pressure （SBP）， diastolic blood pressure （DBP） （ΔSBP and ΔDBP）； 4 involving the change （ΔLVEF） of left ventricular ejection fraction （LVEF）. Results of the study showed that there was no statistical significance in the improvement of blood pressure between wild-type group （AA） and mutation group （AG+GG） of ADRB1 Arg389Gly treated with bisoprolol {ΔSBP [SMD＝0.17，95%CI （－0.97，1.31）， P＝0.77]， ΔDBP [SMD＝－0.01，95%CI （－0.65，0.62）， P＝0.97]}； there was no statistical significance in the improvement of ΔLVEF [SMD＝－0.61， 95%CI （－2.74，1.53）， P＝0.58] between 2 groups. CONCLUSIONS ADRB1 Arg389Gly gene polymorphism has no significant influence on the improvement of SBP， DBP， and LVEF in cardiovascular patients who use bisoprolol.

AIM: To evaluate the binocular visual function in high myopia patients after the implantation of implantable collamer lens(ICL)V4c.METHODS: A total of 35 cases(70 eyes)that received binocular ICL implantation at our hospital from May 2019 to May 2021 were enrolled in this prospective study. Binocular full-range visual acuity, contrast sensitivity, stereopsis, mesopic vision and glare sensitivity, and monocular wavefront and the quality of vision questionnaire were assessed before the surgery and at 1 mo postoperatively.RESULTS: At 1 mo postoperatively, 35 cases(100%)had binocular uncorrected distance visual acuity(UDVA)≤0.00(LogMAR), 16 cases(46%)had binocular UDVA≥preoperative corrected distance visual acuity(CDVA). Binocular UDVA and uncorrected intermediate visual acuity(UIVA,80 cm)were improved compared to preoperative CDVA and distance-corrected intermediate visual acuity(DCIVA,80 cm)(all P<0.05).While there were no differences in the binocular postoperative UIVA(60 cm)and preoperative DCIVA(60 cm),and uncorrected near visual acuity(UNVA,40 cm)and preoperative distance-corrected near visual acuity(DCNVA,40 cm)(all P>0.05). The binocular contrast sensitivity was significantly improved postoperatively(P=0.001), and the postoperative binocular mesopic vision, glare sensitivity(no glare/glare)and binocular stereopsis(5 m/40 cm)had no differences(all P>0.05). The postoperative total higher-order aberration, trefoil aberration, coma and spherical aberration were increased, besides the median of total coma in the right eye with a pupil diameter of 3.0 mm was decreased after surgery. The mean total score of quality of vision questionnaire was significantly increased from 54.87 preoperatively to 80.92 after implantation(P<0.05), with high satisfaction and no obvious visual disturbance in patients.CONCLUSION: Although the monocular high-order aberrations increased in the early stage after ICL V4c binocular implantation in patients with high myopia, the binocular visual function was improved.

ObjectiveTo investigate the clinical efficacy of Gandouling tablet （GDL） on abnormal lipid metabolism in Wilson's disease （WD） and the correlation between the prediction model of hepatic steatosis and the related indexes of lipid metabolism in WD. MethodA total of 86 patients with abnormal lipid metabolism in WD were selected. The 24-hour urine copper， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， serum triglyceride （TG）， total cholesterol （TC）， apolipoprotein B （ApoB）， low density lipoprotein cholesterol （LDL-C）， bile acid （BA）， γ-glutamyl transferase （GGT）， prediction model of hepatic steatosis ［hepatic steatosis index （HSI） and Zhejiang University index （ZJU index）］， ultrasonic attenuation coefficient imaging （ATT）， and traditional Chinese medicine （TCM） syndrome score were statistically analyzed before treatment. Pearson correlation test was used to analyze the correlation between TG， TC， LDL-C， ApoB， ALT， AST， ALT/AST， BA， GGT， TCM syndrome score， ATT， and HIS and ZJU. The patients were divided into an observation group and a control group by random number table method， with 43 cases in each group. The observation group was treated with GDL combined with sodium dimercaptopropane sulfonate （DMPS）， while the control group was only treated with DMPS as a control. After six courses of treatment， 24-hour urine copper， TC， TG， LDL-C， ApoB， HSI， ZJU， ATT， TCM syndrome score， and clinical efficiency before and after treatment were observed and compared between the two groups. The correlation between HSI and ZJU and serum TC， TG， LDL-C， ApoB， ALT， AST， ALT/AST， BA， GGT， TCM syndrome scores， and ATT was analyzed. ResultPearson correlation analysis showed that serum TC （r = 0.811）， TG （r = 0.826）， LDL-C （r = 0.802）， ApoB （r = 0.820）， ALT （r = 0.497）， ALT/AST （r = 0.826）， TCM syndrome score （r = 0.716）， and ATT （r = 0.736） were positively correlated with HSI （P<0.01）， while AST， BA， and GGT had no significant correlation with HSI. TC （r = 0.718）， TG （r = 0.765）， LDL-C （r = 0.667）， ApoB （r = 0.699）， ALT/AST （r = 0.403）， TCM syndrome score （r = 0.666）， and ATT （r = 0.684） were positively correlated with ZJU （P<0.01）. ALT， AST， BA， and GGT had no significant correlation with ZJU. The total effective rate of the observation group was 86.05 （37/43）， and that of the control group was 72.09% （31/43）. The total effective rate of the observation group was higher than that of the control group （Z = -2.301， P<0.05）. After treatment， the 24-hour urine copper of the two groups increased significantly. The levels of TC， TG， LDL-C， and ApoB were significantly decreased， and the HSI， ZJU， and ATT were significantly decreased （P<0.01）. Compared with those in the control group after treatment， the above indexes improved better in the observation group （P<0.05， P<0.01）. ConclusionGDL can effectively improve the level of copper and lipid metabolism in patients with WD， with high clinical safety and good clinical application value. The prediction model of hepatic steatosis can effectively reflect the degree of abnormal lipid metabolism in WD.

Objective To investigate the levels and clinical significance of serum microRNA(miR)-651 and miR-630 in patients with cervical cancer.Methods From June 2017 to May 2020,108 cervical cancer patients accepted by our hospital were collected as the cervical cancer group.Meantime,100 cervical intraepithelial neoplasia(CIN)patients treated in our hospital were regarded as the CIN group,and 110 healthy individuals who underwent physical examination were regarded as the control group.Real-time fluorescence quantitative PCR(qRT-PCR)was applied to detect serum levels of miR-651 and miR-630,while analyzing the relationship between serum miR-651 and miR-630 as well as clinical features and prognosis of patients.Results The serum levels of miR-651 and miR-630 in the cervical cancer group and CIN group were obviously lower than those in the control group(P<0.05),while the serum levels of miR-651 and miR-630 in the cervical cancer group were obviously lower than those in the CIN group(P<0.05).The expression levels of serum miR-651 and miR-630 were positively corre-lated(r = 0.542,P<0.05).The serum levels of miR-651 and miR-630 were related to HPV infection,differentia-tion,lymph node metastasis,and FIGO staging(P<0.05).The overall survival rate of patients with low levels of miR-651 and miR-630 was lower than that of patients with high levels.Cox regression analysis showed that,HPV infection,degree of differentiation,lymph node metastasis,FIGO staging,miR-651,and miR-630 were all influ-encing factors for the prognosis of cervical cancer patients(P<0.05).Conclusion The serum levels of miR-651 and miR-630 in cervical cancer patients decrease,which are related to HPV infection,differentiation,lymph node metastasis,FIGO staging,and prognosis.

Humans ; Parathyroid Neoplasms/genetics* ; Molecular Biology ; Parathyroid Glands

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.

Objective:To carry out a study on the cost analysis of the clinical use of Artificial Intelligence-assisted Diagnosis Technology for Coronary CT Angiography(CCTA-AI)to explore the cost differences and cost effects of Coronary CT Angiography(CCTA)examinations before and after the introduction of Artificial Intelligence(AI),and analyze the impact of the application of AI technology on the high-quality development of public hospitals.Methods:The operation cost method was used to measure the changes in the cost and efficiency of CCTA examinations before and after the application of AI technology in five sample hospitals in Beijing,and diagnostic accuracy was used as the effect value to calculate the cost effect of CCTA-AI diagnosis versus CCTA-manual diagnosis,and to analyze the main factors affecting the unit cost.Results:The average cost of examination in 5 sample hospitals after the application of AI-assisted diagnosis system was 1 074.90 yuan,and 1 266.61 yuan before the application,with a large difference between institutions.The cost-effectiveness analysis based on diagnostic accuracy showed that the AI group had an absolute advantage over the manual group,with a cost of 1 074 900 yuan for the AI group and an effectiveness of 855.05 persons,and a cost of 1 266 610 yuan for the physician group,with an effectiveness of 815.07 persons for the high-year-end physician group,and an effectiveness of 793.40 persons for the low-year-end physician group;0.46 man-hours could be saved for each patient examined;the unit cost of CCTA examination was affected by a number of factors,among which"the number of annual examinations"and"the number of CT units involved in CCTA examination"had the greatest influence on the unit cost of CCTA examination.Conclusion:The application of AI-assisted diagnostic technology can promote the improvement of quality and efficiency in public hospitals in a certain extent,and help optimize the overall distribution of medical resources at the system level.In the future,the cost analysis of AI technology should be further strengthened to comprehensively assess its actual contribution to the healthcare system.