Objective To compare the differences of two kinds of EIA reagents for HIV-1/2 (Ab/Ag) screening results of voluntary blood donors,in addition to find out the feasibility of reducing 1 times of EIA detection.Methods To collect data of HIV 1/2 screening positive results and confirmatory test for voluntary blood donors from 2009 to 2014 in Jiaxing area,and to compare the relationship of screeing test results with that of the confirmatory test,and then to analyze the relevance between S/CO values of screening test and confirmatory test.Results Screening positive rates of domestic and imported reagents,which were 9.58/10 000 and 12.43/10 000,respectively;and the confirmatory coincidence rates were 11.84％ and 9.12％,respectively.There was no significant difference (x2 =1.11,P＞0.05).The double-reagent joint detection positive rate was 1.37/10 000,and its positive predictive value was 82.86％.Single-reagent test result compared with that of double-reagent test,which had significant differences (x2domestic =94.04,P＜0.05 and x2ximported =124.86,P＜0.05).When the S/CO value was more than 6,domestic and imported reagents positive predictive values were 93.55％ (29/31) and 87.50％ (28/32),respectively.Conclusion There is no difference between domestic and imported reagents EIA-HIV1/2.

Objective To research and analyze serological and virological epidemiology charactererization of occult hepatitis B virus infection in Jiaxing volunteer blood donors.Methods 52 698 samples were screened by ELISA(HBsAg、antiHCV 、anti-HIV、anti-TP) and Nucleic acid amplification technique(NAT),then NAT positive samples were further identified to detect virus type.HBsAg-/HBV-DNA+ samples were collected in three different kinds of qualitative HBsAg detection of ELISA kit.The quantitative determination of HBsAg and anti-HBs were used by chemiluminescencemethod.At the same time,real-time fluorescence quantitative PCR (QPCR) was used to measure the viral load of HBV.Further analysis and study on the serological and virological distribution of OBI combined with five markers of hepatitis B virus (HBV),with tracing general epidemiological data (sex,age and age).Results The prevalence rate of OBI was 0.89‰ (1 ∶ 1 121) in all donors with OBI infection,and 2 cases of window period (WP) were found in 52698 donors (1 ∶ 26 349).The results of HBsAg and HBeAg were negative in 49 HBsAg-/HBV-DNA+ samples,and 6OBI serological profiles were found.Anti-HBs quantitative concentration(＞100 mIU/mL)accounted for 27.66％ (13/47),while anti-HBc+ positive rate was 91.49％ (43/47).HBV-DNA nucleic acid quantitative ranged from 4.10 to 1.82× 103(IU/mL) (median of 15.83),whereas HBsAg+/HBV-DNA+positive viral load was in the range of 61.47 to 1.28× 104(IU/mL) (median of 538.15).The difference was significant in viral load between experiment group and control group(P＜0.05).Male donors of more than 40 years were higher in prevalence rate of OBI infection (P＜0.05),meanwhile there was a significant difference in OBI infection rate between repeated blood donors and fnrst blood donors(0.01＜P＜0.05).Conclusion The viral load was low in OBI infected donors,and anti-HBc+ was the main manifestation.NAT had the ability to detect OBI,shorten the window period,and contributed to ensure the safety of clinical blood.

AIM:To investigate the effect of vitamin D3 up-regulated protein 1 (VDUP1) gene over-expression/knockdown on the proliferation and migration of human breast cancer MCF-7 cells and its related mechanisms.METHODS:Gene over-expression/interference techniques were used to up-regulate/down-regulate the expression of VDUP1 in the MCF-7 cells.The mRNA expression of VDUP1 was detected by qPCR.CCK-8, BrdU and Transwell assays were used to measure the cell viability, proliferation and migration, respectively.The protein levels of Akt, p-Akt, GSK3β and p-GSK3β were determined by Western blot.RESULTS:The mRNA expression of VDUP1 was up-regulated after transfection with VDUP1 over-expression plasmid (P<0.05), and down-regulated after transfection with VDUP1 siRNA (P<0.05).Over-expression of VDUP1 significantly inhibited MCF-7 cell proliferation and migration (P<0.05), while knockdown of VDUP1 enhanced cell proliferation and migration (P<0.05).Furthermore, over-expression of VDUP1 up-regulated the protein levels of p-Akt and p-GSK3β (P<0.05).Inverse results were obtained after knockdown of VDUP1.CONCLUSION:The viability and migration ability of MCF-7 cells are inhibited by over-expression of VDUP1 but enhanced by VDUP1 knockdown, which may be related with Akt/GSK3β pathway.

Objective: To analyze the residual risk of transfusion transmitted hepatitis B virus (HBV) infection by enzyme-linked immunosorbent assay (ELISA) method in hepatitis B surface antigen (HBsAg) negative blood donors, and to assess the infection status. Methods: A total of 45551 samples were collected from blood donors.All samples were tested by 2 different ELISA kids of HBsAg and nucleic acid testing (NAT) individually of hepatitis B virus (HBV), hepatitis C virus (HCV) and human immunodeficiency virus (HIV). Those ELISA HBsAg negative and NAT single reactive (HBsAg-/HBV DNA+ ) specimens were analyzed by quantitative detection of HBV DNA and by serologic testing of HBV antigen and antibody. Results: A total of 44 HBsAg-/HBV DNA+ samples were detected, including 42 occult HBV infections (OBI) and 2 window period infections (WP). The detection rate of OBI rate was 0.90‰, and 32 samples of OBI sample HBV DNA was less than 20 IU/ml, and the OBI detection rate was significantly different between different genders, ages and blood donation times (P<0.05). In the OBI sample, there were 6 serological models, 92.9%(39/42) OBI samples hepatitis B core antibody (HBcAb) positive, and 76.9%(30/39) HBV DNA in HBcAb positive samples were less than 20 IU/ml; 29.5% (13/42) of OBI blood donors hepatitis B e antigen (HBeAb) and HBcAb were also positive, of whom 84.6% (11/13) were HBV DNA quantitatively <20 IU/ml. Conclusions HBV residual risk of transfusion-transmitted infection may occur through HBsAg- and single NAT reactive blood donors, mainly include OBI, and HBV DNA low level. Blocking of single NAT reactive blood donors could reduce transfusion-transmitted HBV infection.

Objective:To explore the potential categories of return-to-work self-efficacy of postoperative patients with thyroid cancer and analyze the influencing factors, so as to provide theoretical basis for implementing precise interventions of occupational rehabilitation.Methods:This was a cross-sectional study. A convenient sampling method was used to select 257 postoperative patients with thyroid cancer in Zhujiang Hospital of Southern Medical University from May 2022 to July 2023. The General Information Questionnaire, Return-To-Work Self-Efficacy Questionnaire and Cancer Fatigue Scale were used for investigation. Latent profile analysis was used to explore the potential categories of return-to-work self-efficacy of postoperative patients with thyroid cancer. Logistic regression and decision tree were used to analyze the influencing factors of different potential categories.Results:Finally, 250 postoperative patients with thyroid cancer were included. There were 76 males and 174 females, aged (37.91 ± 8.04) years old. The return-to-work self-efficacy of postoperative patients with thyroid cancer was divided into 2 potential categories: low return-to-work self-efficacy group (72.0%, 180/250) and high return-to-work self-efficacy group (28.0%, 70/250). Logistic regression showed education, thyrotropin suppressive therapy, cancer-related fatigue and age were factors influencing the potential categories of return-to-work self-efficacy of postoperative patients with thyroid cancer ( OR values were 0.951 - 19.820, all P<0.05). Decision tree model showed education level and cancer-related fatigue were the most important factors ( χ2 = 31.40, 16.95, both P<0.05). Conclusions:There were two potential categories of return-to-work self-efficacy of postoperative patients with thyroid cancer. Most of them had low levels of return-to-work self-efficacy. Health care professionals should focus on patients who are less educated and having cancer-related fatigue, meanwhile, should not ignore patients who are substandard thyrotropin suppressive therapy, and older. Implement precise interventions of occupational rehabilitation to improve the return-to-work self-efficacy of postoperative patients with thyroid cancer so as to help them reintegrate into society.

Objective:To construct and validate a risk prediction model for immune checkpoint inhibitor-associated pneumonia (CIP) using machine learning algorithms and the nomogram, aiming to provide an accurate and intuitive method to assist nurses in screening people at high risk of developing CIP.Methods:This was a retrospective case -control study. A total of 230 oncology patients treated with immune checkpoint inhibitors attending Zhujiang Hospital of Southern Medical University from January 2019 to February 2022 were collected using the hospital's electronic medical record system. The prediction models were built using five machine learning algorithms and nomogram. The models were then validated on a separate test set, and their differentiation and stability were assessed using evaluation indices like AUC and accuracy rate.Results:Underlying lung disease, smoking history, serum albumin≤35 g/L and radiotherapy history were identified as important influencing factors of CIP in all six models. The AUC of K nearest neighbor, support vetor machines (SVM), naive Bayesian, decision tree and random forest models predicted CIP were 0.647, 0.696, 0.930, 0.870, and 0.934, respectively. The AUC of the model created by the nomogram was 0.813, which was lower than the best random forest model in the machine learning algorithm, but with good predictive performance (AUC=0.934).Conclusions:The nomogram model can assess the patient′s risk more intuitively, but the risk prediction model of CIP based on a machine learning algorithm has a higher diagnostic value. It is suggested that the accuracy and usefulness of the prediction model can be increased by combining the nomogram's foundation with the machine learning algorithm.