1.Advance in the development of modified vaccinia virus Ankara (MVA)vectors for novel influenza vaccines
Chinese Journal of Zoonoses 2017;33(3):222-227
Influenza,caused by influenza virus,is a respiratory infectious disease with a serious hazard to human health.Prevention of influenza through vaccine development is the most effective strategy.It is important to build a rapid response platform for research and production of influenza vaccine.As virus vectors,live vaccine provides a new prevention and treatment way for infectious disease.Modified vaccinia virus Ankara(MVA) is a replication-deficient viral vector that is safe and can encode one or more foreign antigens and induce humoral and cellular immune response.MVA holds great promise as a vaccine platform.In this review,we discuss the use of MVA for vaccine development against influenza virus.
2.Haplotype analysis of two families with X-linked retinitis pigmentosa
Cuimin CHEN ; Xiaoli ZHANG ; Zhengqin YIN ; Weiling FU ; Xiaohon MENG
Journal of Third Military Medical University 2003;0(08):-
Objective To identify the disease locus in X-linked retinitis pigmentosa (RP) families using genetic linkage analysis. Methods Five microsatellite markers were selected from the RP2, RP3, RP6, RP23 and RP24 gene loci, respectively. Haplotype analysis for two X-linked RP families was performed to determine the critical region. Two-point linkage analysis was performed using MLINK program. Results In FYJ and ZCF X-linked RP families, the LOD score was 1.18 and 1.03 at DXS 993, 0.58 and -2.69 at DXS 1068, -2.33 and -2.45 at DXS 1214, -2.34 and -2.51 at DXS 8051, -2.23 and -2.62 at DXS 8043. Conclusion The phenotype of ZCF family is not caused by mutation of RP3, RP6, RP23, RP24 gene, and FYJ family may be linked to RP2 or RP3 gene.
3.Designing and application of continuous health education model
Yue XIANG ; Ping XIAO ; Junqiang YIN ; Honglu XU ; Shushuang CHEN ; Weiling ZHANG
Modern Clinical Nursing 2013;(12):58-60
Objective To evaluate the effect of continuity of health education model for patients undergoing bone cancer during the first chemotherapy.Methods This model was designed based on KAP(Knowledge,Attitude or Belief,Practice) theory,literature review and questionnaire and performed in 103 bone cancer patients during the first chemotherapy.Results All the patients were assessed,with the founding that the pass rate of knowledge test,treatment compliance and degree of satisfaction were increased significantly(all P<0.05).Conclusions The health education model could help patients learn knowledge about bone cancer,build health behavior and deal with complications.Additionally,it improves the pass rate of knowledge test,satisfaction, and compliance.
4.The technical development and application prospects of CRISPR/Cas9 in laboratory medicine
Xiaojing YIN ; Jiabo HU ; Chongxu HAN ; Yunxia WANG ; Weiling FU ; Yang ZHANG
Chinese Journal of Laboratory Medicine 2019;42(5):381-385
Clustered regularly interspaced short palindromic repeats/CRISPR-associated nuclease 9 (CRISPR/Cas9),a cluster of regularly spaced short palindromic repeats,is a natural immune defense system for bacteria and archaea to identify themselves and exogenous invading DNA fragments,protecting them from viruses.In recent years,CRISPR/Cas9 has become a revolutionary gene editing tool.Its specific targeted spot-cutting ability also plays an important role in nucleic acid detection,bacterial typing,etc.,and has shown great application potential in the field of medical testing.Based on the latest researches,this paper reviews the progress of CRISPR/Cas9 application in the new techniques of nucleic acid detection,pathogen typing and bacterial evolution in laboratory medicine,and also summarizes the application prospect of CRISPR technology in the field of laboratory medicine.
5.Research and application of Surface-enhanced Raman scattering technique in biomedical detection
Xiaojing YIN ; Chuanli REN ; Chongxu HAN ; Pan YANG ; Lin ZHOU ; Weiling FU ; Yang ZHANG
Chinese Journal of Laboratory Medicine 2024;47(3):314-322
The application of Raman spectroscopy in the field of laboratory medicine is making continuous progress and development. The biosensor platform based on Raman spectroscopy provides a new means for accurate molecular diagnosis of diseases. In particular, as a fast and non-destructive detection method, surface-enhanced Raman scattering has the advantages of simple sample preparation, little interference from water and real-time detection, and shows great application potential in the field of medical examination. At the same time, with the integration of SERS and other technologies, including electrochemistry, new nano-materials, microfluidic, biochip, DNA nano-machine, artificial intelligence and machine learning, it will play a more and more important role in the field of medical laboratory. With the deepening of SERS research and the cross-integration between multiple disciplines, it will be widely used in biomedical detection and is expected to become an important technology platform for the next generation of precision diagnosis.
6.Value of liver-muscle signal intensity and serum markers in diagnosis of chronic hepatitis B liver fibrosis
Ya WEN ; Zhaoyu QU ; Jingnan LU ; Weiling YIN ; Xiaoqi HUANG
Journal of Clinical Hepatology 2023;39(3):573-579
Objective To investigate the value of liver/muscle ratio (LMR) on susceptibility-weighted imaging (SWI) and serum markers in the diagnosis of the severity of chronic hepatitis B liver fibrosis after grouping based on alanine aminotransferase (ALT) level. Methods A retrospective analysis was performed for 255 patients with chronic hepatitis B who attended Affiliated Hospital of Yan'an University from October 2018 to September 2021, and the patients were divided into severe liver fibrosis group (SLF group) and non-severe liver fibrosis group (non-SLF group). The SLF group was defined as liver stiffness measurement (LSM) > 9.0 kPa and ALT level within the normal range or LSM > 12.0 kPa and ALT level greater than 1-5 times of the upper limit of normal. LMR was calculated by measuring the mean SWI value of the liver (SWI liver ) and the signal intensity of the erector spinae. The t -test was used for comparison of normally distributed continuous data between two groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between two group; the chi-square test was used for comparison of categorical data between two groups. The binary logistic regression analysis was used to investigate the influencing factors for SLF. The receiver operating characteristic (ROC) curve was used to analyze the diagnostic performance of LMR and its combination with serum markers, and the DeLong test was used to compare the difference in the area under the ROC curve (AUC). Results Compared with the non-SLF group, the SLF group had significantly higher ALT ( Z =-3.569, P < 0.001), aspartate aminotransferase (AST) ( Z =-5.495, P < 0.001), hyaluronic acid (HA) ( Z =-6.746, P < 0.001), laminin (LN) ( Z =-5.459, P < 0.001), type Ⅳ collagen (Ⅳ-C)( Z =-8.470, P < 0.001), type Ⅲ procollagen (PCⅢ) ( Z =-6.326, P < 0.001), aspartate aminotransferase-to-platelet ratio index ( Z =-9.004, P < 0.001), and FIB-4 ( Z =-8.357, P < 0.001) and significantly lower prothrombin time activity (PTA) ( t =10.088, P < 0.001), platelet count ( t =9.163, P < 0.001), SWI liver ( t =2.347, P =0.02), and LMR×10 ( Z =-4.447, P < 0.001). PTA, HA, Ⅳ-C, and LMR×10 were independent influencing factors for SLF. LMR×10 had an AUC of 0.675 (95% confidence interval [ CI ]: 0.614-0.732) in the diagnosis of SLF, which was significantly higher than that of SWI liver (AUC=0.594, 95% CI : 0.531-0.655) ( Z =3.984, P < 0.001). PTA+HA+Ⅳ-C+LMR×10 and PTA+HA+Ⅳ-C had an AUC of 0.937 (95% CI : 0.896-0.966) and 0.905 (95% CI : 0.858-0.941), respectively, suggesting that PTA+HA+Ⅳ-C+LMR×10 had a better diagnostic performance than PTA+HA+Ⅳ-C ( Z =2.228, P =0.026). Conclusion LMR and serum markers can accurately distinguish SLF after grouping based on ALT level. LMR is a quantitative and objective imaging indicator and is better than SWI liver , and it can also improve the diagnostic performance of serum markers for SLF in clinical practice.