With the rapid development of medical technology , the precision medicine appears .The accurate analysis of the genetic mutations provides the accuracy of diseasesis prediction diagnosis and targeted therapy.Alzheimer′s disease and Parkinson′s disease are two of the most common neurodegenerative diseases.

Objective:To study the expression of microRNA-33a (miRNA-33a or miR-33a) and miR-33b in patients with hyperlipidemia, and to explore its correlation with blood lipid indexes.Methods:Thirty patients with hyperlipidemia were included as the observation group, and 30 healthy people were included as the control group. The venous blood of the subjects in the observation group and the control group was collected, and the automatic biochemical analyzer was used to detect serum biochemical indicators, including: low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), blood glucose (GLU), and total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), apolipoprotein A1 (ApoA1) and apolipoprotein B (ApoB). Real-time quantitative polymerase chain reaction (qPCR) was used to detect serum miR-33a and miR-33b expression in all subjects.Results:Serum LDL-C, TG, and TC of the observation group are significantly higher and HDL-C was significantly lower than those of the control group, the differences were statistically significant (all P<0.05). The relative expression levels of miR-33a and miR-33b in the observation group are significantly higher than those in the control group (all P<0.05). The expression of miR-33a and miR-33b is positively correlated with the levels of LDL-C, TG, TC, and ApoB, and negatively correlated with HDL (all P<0.05). The factors affecting the expression of miR-33a and miR-33b are TG, TC and LDL-C. Conclusions:The expression of miR-33 is increased with hyperlipidemia, and it has a certain correlation with LDL-C, TG, TC, and ApoB.

AIM: To detect the effect of conjunction matrigel with mammary fad pat(MFP)implantation on the tumorigenesis, proliferation, apoptosis and metastasis of Her2 positive and negative breast cancer model. METHODS: The Her2 positive BT 474 and Her2 negative MDA-MB 231 breast cancer cells were injected into MFP of nude mice with or without matrigel to establish breast cancer model. The tumor volume was measured every 3 d. Followed up for 30 d after implantation, the nude mice were killed and the tumors and associated organs were dissected for pathological sectioning and staining with hematoxylin and eosin. The time of tumor formation and the tumorigenesis were determined after implantation. The tumor volume and metastasis rate were calculated and compared with each other. The proliferation and apoptosis of Her2 positive and negative tumors were also determined. RESULTS: Matrigel and MFP implantation technology shortened the time of tumorigenesis significantly(P<0.01). The tumorigenesis rate of BT 474 and MDA-MB 231 breast cancer cells did not show any different(P>0.05). The metastasis rate of MDA-MB 231 breast cancer cells were improved from 25.0% to 37.5%(P<0.05). CONCLUSION: Matrigel and MFP implantation can be combined to shorten the time of tumor formation by two kinds of breast cancer cells, and improve the metastasis of Her2 negative MDA-MB 231 cells. Using matrigel does not show any effect of proliferation and apoptosis on Her2 positive and negative breast cancer cells.

Objective: To compare and analyze patient’s general condition, changes in laboratory parameters, and the spectrum of UGT1A1 mutations in patients with inherited non-hemolytic unconjugated hyperbilirubinemia. Methods: A retrospective study was conducted at Nanjing Second Hospital from January 2015 to July 2018 and patients’ demographic characteristics, liver function test, and UGT1A1 gene were analyzed. The categorical variable data were compared by χ ² test. The normal distribution continuous variable data were compared by t-test and the non-normal distribution continuous variable data were compared using Mann-Whitney U test. Results: Of the 51 patients with inherited non-hemolytic unconjugated hyperbilirubinemia, 44 (86.3%) were Gilbert’s syndrome (GS) and seven (13.7%) were Crigler-Najjar syndrome type II (CNS- II). The male to female ratio was 2.9:1 and the average age was 36.11 ± 13.17 years. Six variant types were detected: C. -40_-39insTA, C. -3279T > G, c.211G > A (p.G71R), c.686C > A (p.P229Q), c.1091C > T (p.P364L), c.1456T > G (P.Y486D). Among them, c.211G > A accounted for 58.82% (30/51), c.-40_-39insTA accounted for 27.5% (14/51), and c.1456T > G accounted for 25.5% (13/51). The total bilirubin(TB) and unconjugated bilirubin (UCB) in CNS-II patients were significantly higher than GS patients[155.91 (130 ~ 207) vs. 38.25(29 ~ 52.15) μmol/L, U = 0, P < 0.01; 144.13 (120.8 ~ 197) vs. 30.00 (21.7 ~ 46.75) μmol/L, U = 0.00, P < 0.01, respectively]. Exon mutations of c.1091C > T and c.1456T > G were statistically significant(P < 0.01).There were no differences in age, TB, UCB, alanine aminotransferase (ALT) and aspartate aminotransferase (AST) between the c.211G > A homozygous variants and heterozygous variants (P > 0.05). Conclusion The common pathogenic mutations of UGT1A1 gene were c.211G > A, c.-40_-39insTA, c.1456T > G. c.211G > A. The mutation has little effect on the level of total bilirubin, but c.1091C > T, c.1456T > G mutations has great influence on the level of total bilirubin.

Objective:To investigate the characteristics of HBV-specific T cell reactivity among pregnant, postpartum and non-pregnant women at childbearing age with chronic HBV infection.Methods:A total of 100 patients with chronic HBV infection were enrolled in this study, including 43 pregnant women (pregnant group), 26 patients giving birth within six months (postpartum group), and 31 non-pregnant patients at childbearing age (non-pregnant group). The functional HBV-specific T cells in peripheral blood were detected by ELISPOT. Clinical data as well as the results of virological and serological tests of HBV were collected for stratified analysis.Results:There was no significant difference in the number of functional HBV-specific T cells between the pregnant group and the postpartum group, but the number was significantly lesser in the pregnant group than in the non-pregnant group ( P<0.05). Furthermore, the number of functional HBV-specific T cells was significantly higher in the nucleoside analogues (NUCs)-treated pregnant women than in the NUCs-untreated pregnant women ( P<0.05). Among the patients without NUCs treatment, there were no significant differences in the numbers of hepatitis B envelope antigen/hepatitis B core antigen (HBeAg/HBcAg)-specific T cells between the pregnant group and the postpartum group, but the numbers were lower in the pregnant group than in the non-pregnant group ( P<0.05). Among the NUCs-treated patients, there was no significant difference in the number of functional HBV-specific T cells between the pregnant group and the non-pregnant group, and the numbers in the two groups were significantly higher than that in the postpartum group (both P<0.05). Additionally, receiver operating characteristic (ROC) curve indicated that the number of functional HBV-specific T cells in combination with HBV DNA load [area under the curve (AUC)=0.807] or hepatitis B surface antigen (HBsAg) levels (AUC=0.916) had a good predictive performance for hepatitis progression during pregnancy. Conclusions:Pregnancy can reduce HBV-specific T cell reactivity in women with chronic HBV infection, but NUCs treatment may improve the function of specific T cells. Routine monitoring of HBV-specific T cells during pregnancy and postpartum period can provide valuable guidance for the evaluation of immune function and treatments.

This study was performed to investigate the features of HBV-specific CD8+T cell reactivity in patients with chronic hepatitis B(CHB),HBV-induced liver cirrhosis(LC)or hepatocellular carcinoma(HCC).A total of 124 CHB patients,36 LC patients,and 114 HCC patients were enrolled in this study.The reactive HBV-specific CD8+T cells in peripheral blood were enumerated using an innovative ELISPOT system.In addition,19 CHB patients and 20 HCC patients were longitudinally monitored with an interval of 3-5 months.Data showed that the numbers of reactive HBV-specific CD8+T cells in CHB group were not significantly different from that in LC group,but obviously lower than that in HCC group(P=0.009 9),especially HBsAg-,HBpol-and HBe/cAg-specific CD8+T cells.In CHB group,the patients with normal ALT level,AST level,or low HBV-DNA load showed significantly more reactive HBV-specific CD8+T cells than the patients with abnormal ALT level,abnormal AST level,or high HBV-DNA load.Furthermore,the duration of NUCs treatment had an impact on the HBV-specific CD8+T cell reactivity in CHB patients,while different NUCs at the same treatment duration did not bring different reactivity of HBV-specific T cells.In LC group,the HBeAg-positive patients presented much more reactive HBV-specific CD8+T cells than the HBeAg-negative patients did.In HCC group,the numbers of reactive HBV-specific CD8+T cells in the patients with normal AFP level or normal DCP level were significantly higher than that in the patients with abnormal AFP level or abnormal DCP level.Longitudinal monitoring results showed that HBV-specific CD8+T cell reactivity displayed a slow upward trend in the CHB patients undergoing NUCs treatment,and an obvious increasing in the HCC patients undergoing combined treatment of targeted drugs and immunotherapy.Taken together,the features of HBV-specific CD8+T cell reactivity are distinct among the CHB,LC and HCC patients,and are influenced by virological indicators,tumor markers and treatment regimens.Therefore,more attention should be paid to the changes of HBV-specific CD8+T cell reactivity during clinical treatment.

Objective To investigate the genetic association between nonalcoholic fatty liver disease(NAFLD)and type 2 diabetes mellitus(T2DM)using bidirectional two-sample Mendelian randomization(MR),as well as the causal relationship between NAFLD and T2DM across different body mass index(BMI)categories.Methods The data were derived from genome-wide association studies conducted in European populations,with a sample size of 32 941 cases for NAFLD,312 646 cases for T2DM,and 681 275 cases for BMI.The univariate and multivariate MR methods were used to assess the bidirectional causal relationship between NAFLD and T2DM in the general population and across different BMI subtypes.The methods of inverse-variance weighting,MR-Egger regression,constrained maximum likelihood and model averaging,and weighted median were used to conduct the MR analysis,and MR-Pleiotropy Residual Sum and Outlier,radial MR,the MR-Egger intercept method,and the Cochrane Q test were used for sensitivity analysis.Results The univariate MR analysis revealed a bidirectional causal relationship between NAFLD and T2DM in the general population(forward analysis:odds ratio[OR]=9.75,95%confidence interval[CI]:2.57-37.00,P＜0.001;reverse analysis:OR=1.01,95%CI:1.00-1.01,P＜0.01).After adjustment for BMI,the multivariate MR analysis showed that the causal relationship between NAFLD and T2DM remained significant in the general population(OR=33.12,95%CI:7.57-144.95,P＜0.000 1).The subgroup analysis showed a causal relationship between NAFLD and T2DM across all BMI subtypes(lean subgroup:OR=12.19,95%CI:3.35-44.40,P＜0.001;overweight subgroup:OR=4.30,95%CI:1.69-10.92,P＜0.01;obese subgroup:OR=1.67,95%CI:1.14-2.44,P＜0.01).Conclusion This study reveals the causal relationship between NAFLD and T2DM in the general population of NAFLD and across different BMI subtypes from a genetic perspective.

Objective:To establish autoverification rules for coagulation tests in multicenter cooperative units, in order to reduce workload for manual review of suspected results and shorten turnaround time (TAT) of test reports, while ensure the accuracy of results.Methods:A total of 14 394 blood samples were collected from fourteen hospitals during December 2019 to March 2020. These samples included: Rules Establishment Group 11 230 cases, including 1 182 cases for Delta check rules; Rules Validation Group 3 164 cases, including 487cases for Delta check; Clinical Application Trial Group 77 269 cases. Samples were analyzed for coagulation tests using Sysmex CS series automatic coagulation analyzers, and the clinical information, instrument parameters, test results, clinical diagnosis, medication history of anticoagulant and other relative results such as HCT, TG, TBIL, DBIL were summarized; on the basis of historical data, the 2.5 and 97.5 percentile of all data arranged from low to high were initially accumulated; on the basis of clinical suggestions, critical values and specific drug use as well as relative guidelines, autoverification rules and limits were established.The rules were then input into middleware, in which Stage I/Stage II validation was done. Positive coincidence, negative coincidence, false negative, false positive, autoverification pass rate, passing accuracy (coincidence of autoverification and manual verification) were calculated. Autoverification rules underwent trial application in coagulation results reports.Results:(1) The autoverification algorisms involve 33 rules regarding PT/INR, APTT, FBG, D-dimer, FDP,Delta check, reaction curve and sample abnormalities; (2)Autoverification Establishment Group showed autoverification pass rate was 68.42% (7 684/11 230), the false negative rate was 0%(0/11230), coincidence of autoverification and manual verification was 98.51%(11 063/11 230), in which positive coincidence and negative coincidence were respectively 30.09% (3 379/11 230) and 68.42%(7 684/11 230); Autoverification Validation Group showed autoverification pass rate was 60.37%(1 910/3 164), the false negative rate was 0%(0/11 230), coincidence of autoverification and manual verification was 97.79%(3 094/3 164), in which positive coincidence and negative coincidence were respectively 37.42%(1 184/3 164) and 60.37%(1 910/3 164); (3) Trialed implementation of these autoverification rules on 77 269 coagulation samples showed that the average TAT shortened by 8.5 min-83.1 min.Conclusions:This study established 33 autoverification rules in coagulation tests. Validation showedthese rules could ensure test quality while shortening TAT and lighten manual workload.