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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Iranian Journal of Basic Medical Sciences
- نوع مقاله: Journal Article
- کلمات کلیدی: Diagnosis,ELISA,Antigen,Tuberculosis,Antibodies
- چکیده:
- چکیده انگلیسی: Objective(s): Detection of circulating Mycobacterium tuberculosis (M. tuberculosis) antigens is promising in Tuberculosis (TB) diagnosis. However, not a single antigen marker has been found to be widely expressed in all TB patients. This study is aimed to prepare broadly reactive polyclonal antibodies targeting multiple antigen markers (multi-target antibodies) and evaluate their efficacies in TB diagnosis.
Materials and Methods: A fusion gene consisting of 38kD, ESAT6, and CFP10 was constructed and overexpressed. The fusion polyprotein was used as an immunogen to elicit production of multi-target antibodies. Their reactivities were tested. Then, the multi-target antibodies and three corresponding antibodies elicited by each single antigen (mono-target antibodies) were evaluated with sandwich ELISA for detecting M. tuberculosis antigens. Their diagnostic efficacies for TB were also compared.
Results: The polyprotein successfully elicited production of multi-target antibodies targeting 38kD, ESAT6, and CFP10 as analyzed by Western blotting. When used as coating antibodies, the multi-target antibodies were more efficient in capturing the three antigens than the corresponding mono-target antibodies. By testing clinical serum, the multi-target antibodies demonstrated significantly higher sensitivity for clinical TB diagnosis than all three mono-target antibodies.
Conclusion: The multi-target antibodies allowed detecting multiple antigens simultaneously and significantly enhanced TB detection compared to routine mono-target antibodies. Our study may provide a promising strategy for TB diagnosis.- انتشار مقاله: 23-01-1396
- نویسندگان: Zhenhua Dai,Zhiqiang Liu,Bingshui Xiu,Xiqin Yang,Ping Zhao,Xuhui Zhang,Cuimi Duan,Haiping Que,Heqiu Zhang,Xiaoyan Feng
- مشاهده
- جایگاه : پژوهشی
- مجله: Asian Pacific Journal of Cancer Prevention
- نوع مقاله: Journal Article
- کلمات کلیدی: Laparoscopy colon resection,Colon adenocarcinoma,3D visualization,Operation time,Postoperative complications
- چکیده:
- چکیده انگلیسی: Background: Visual information is crucial for performing laparoscopic surgery. While surgeons lose depth perception and spatial orientation in conventional 2D laparoscopy, the 4th generation 3D system gives a better depth perception. Objective: In this sstudy, we aimed to investigate the feasibility, safety, and short-term efficacy of 4th generation 3D-HD visualization technology applied in laparoscopic colon cancer surgery. Methods: One hundred and twenty patients with colon adenocarcinoma were recruited in this study. Patients were randomized on the day of surgery by a random computer-generated allocation list to undergo either a 3D-HD display or 2D-HD imaging system laparoscopic colon cancer surgery. In total, 60 patients underwent laparoscopic colon resection by 3D-HD laparoscope (3D group) and 60 patients underwent 2D-HD laparoscope (2D group). After the insertion of the access ports, both surgical procedures were divided in component tasks, and the execution times were compared. Data analysis was done using SPSS (version 15.0). Quantitative and qualitative variables were compared applying Student t test and Pearson’s chi-square test. Results: Two groups were homogenous in terms of demographic data. Operation time was significantly shorter for the 3D group than for the 2D group (123.2±34.2 min vs. 142.2±23.5 min, P=0.018). There was no statistically significant difference between two groups in terms of intraoperative blood loss, the number of retrieved lymph nodes, postoperative recovery, and postoperative complications (P>0.05). Conclusion: The 4th generation 3D-HD vision system reduced the operating time compared to 2D-HD vision system. It seems that use of the 3D-HD technology can significantly enhance the possibility of achieving better intraoperative results.
- انتشار مقاله: 23-10-1398
- نویسندگان: Zheng Wang,Jianwei Liang,Jianan Chen,Shiwen Mei,Qian Liu
- مشاهده