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THE RESEARCH PROGRESSION OF SEROLOGICAL ANALYSIS OF RECOMBINANT cDNA EXPRESSION LIBRARIES SCREENING ANTIGENS OF ATHEROSCLEROTIC DISEASES

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Volume 4, Issue 1, Pp 10-14, 2021

Author(s)

Hongyu Yang, Hao Wang*

Affiliation(s)

Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou 510632, P.R.China

Corresponding Author

Hao Wang

ABSTRACT

The serological analysis of recombinant cDNA expression libraries (SEREX) is an important research method of screening disease-associated antigens, it combines the gene cloning technology with the serum screening technology, the recombinant cDNA expression clone library is screened by autologous serum of patients, thus the relevant target antigen genes are obtained, In turn, serum antibodies of patients can be identified by the target genes. It was initially used to screen tumor-related antigens, then the range of application expanded and gradually applied to screen the antigens of atherosclerotic disease. This article reviews the basic principles, experimental procedures, advantages and disadvantages of SEREX and its application and research progress in screening antigens of atherosclerotic disease.

KEYWORDS

SEREX, Atherosclerosis, Atherosclerotic Disease, Antigen, Antibody

CITE THIS PAPER

Hongyu Yang, Hao Wang. The research progression of serological analysis of recombinant cdna expression libraries screening antigens of atherosclerotic diseases.Acta Translational Medicine. 2021, 4(1): 10-14.

REFERENCES

1. U. Sahin, O. Tureci, H. Schmitt, B. Cochlovius, T. Johannes, R. Schmits et al. Human neoplasms elicit multiple specific immune responses in the autologous host. Proc Natl Acad Sci U S A, 1995, 92:11810-11813.

2. Shanfen Hao. SEREX technology and its application in autoimmune disease research. Clinical Medical Engineering, 2017, 24:583-584.

3. Axel Mischo, Andreas Wadle, Kristin Watzig, Dirk Jager, Elisabeth Stockert, Darren Santiago et al. Recombinant antigen expression on yeast surface (RAYS) for the detection of serological immune responses in cancer patients. Cancer immunity, 2003, 3:5-5.

4. Toshio Machida, Motoo Kubota, Eiichi Kobayashi, Yasuo Iwadate, Naokatsu Saeki, Akira Yamaura et al. Identification of stroke-associated-antigens via screening of recombinant proteins from the human expression cDNA library (SEREX). Journal of translational medicine, 2015, 13:71-71.

5. E. Matsuura, F. Atzeni, P. Sarzi-Puttini, M. Turiel, L. R. Lopez, M. T. Nurmohamed. Is atherosclerosis an autoimmune disease? BMC medicine, 2014, 12:47.

6. P. Libby, P. M. Ridker, G. K. Hansson. Progress and challenges in translating the biology of atherosclerosis. Nature, 2011, 473:317-325.

7. F. Schaftenaar, V. Frodermann, J. Kuiper, E. Lutgens. Atherosclerosis: the interplay between lipids and immune cells. Curr Opin Lipidol, 2016, 27:209-215.

8. M. Lacy, D. Atzler, R. Liu, M. De Winther, C. Weber, E. Lutgens. Interactions between dyslipidemia and the immune system and their relevance as putative therapeutic targets in atherosclerosis. Pharmacol Ther, 2019, 193:50-62.

9. A. Gistera, G. K. Hansson. The immunology of atherosclerosis. Nat Rev Nephrol, 2017, 13:368-380.

10. Kefei Dou. Advances in the immunological mechanism research of coronary heart disease. Chinese Circulation Journal, 2003, 75-77.

11. C. Eyileten, Z. Wicik, S. De Rosa, D. Mirowska-Guzel, A. Soplinska, C. Indolfi et al. MicroRNAs as Diagnostic and Prognostic Biomarkers in Ischemic Stroke - A Comprehensive Review and Bioinformatic Analysis. Cells, 2018, 7:.

12. Hao Wang, Xiao-Meng Zhang, Go Tomiyoshi, Rika Nakamura, Natsuko Shinmen, Hideyuki Kuroda et al. Association of serum levels of antibodies against MMP1, CBX1, and CBX5 with transient ischemic attack and cerebral infarction. Oncotarget, 2017, 9:5600-5613.

13. Hao Lu, Hao Wang, Xiaomeng Zhang, Jiyue Liu, Yalan Li, Takaki Hiwasa et al. Identification of serological antigens by recombinant cDNA expression cloning for TIA. Journal of Jinan University Natural Science & Medicine Edition, 2018, 39(1):61-65.

14. Y. Yoshida, T. Hiwasa, T. Machida, E. Kobayashi, S. Mine, J. Matsushima et al. Elevation of Autoantibody in Patients with Ischemic Stroke. Neurologia medico-chirurgica, 2018, 58:303-310.

15. Yoichi Yoshida, Hao Wang, Takaki Hiwasa, Toshio Machida, Eiichi Kobayashi, Seiichiro Mine et al. Elevation of autoantibody level against PDCD11 in patients with transient ischemic attack. Oncotarget, 2017, 9:8836-8848.

16. T. Hiwasa, X. M. Zhang, R. Kimura, M. Ohno, P. M. Chen, E. Nishi et al. Elevated Adiponectin Antibody Levels in Sera of Patients with Atherosclerosis-Related Coronary Artery Disease, Cerebral Infarction and Diabetes Mellitus. Journal of circulating biomarkers, 2016, 5:8.

17. Ulf De Faire, Johan Frostegard. Natural antibodies against phosphorylcholine in cardiovascular disease. Annals of the New York Academy of Sciences, 2009, 1173:292-300.

18. Johan Frostegard. Low level natural antibodies against phosphorylcholine: a novel risk marker and potential mechanism in atherosclerosis and cardiovascular disease. Clinical immunology (Orlando, Fla.), 2010, 134:47-54.

19. Hye Seon Jeong, Jee-Yeon Kim, Seo Hyun Lee, Junha Hwang, Jong Wook Shin, Kyu Sang Song et al. Synergy of circulating miR-212 with markers for cardiovascular risks to enhance estimation of atherosclerosis presence. PloS one, 2017, 12:e0177809-e0177809.

20. Mark A. Hlatky, Philip Greenland, Donna K. Arnett, Christie M. Ballantyne, Michael H. Criqui, Mitchell S. V. Elkind et al. Criteria for evaluation of novel markers of cardiovascular risk: a scientific statement from the American Heart Association. Circulation, 2009, 119:2408-2416.

21. J. A. Jarmul, M. Pignone, M. J. Pletcher. Interpreting Hemoglobin A1C in Combination With Conventional Risk Factors for Prediction of Cardiovascular Risk. Circ Cardiovasc Qual Outcomes, 2015, 8:501-507.

22. Carlos A. Casiano, Melanie Mediavilla-Varela, Eng M. Tan. Tumor-associated antigen arrays for the serological diagnosis of cancer. Molecular & cellular proteomics: MCP, 2006, 5:1745-1759.

23. Xiaoxiao Zuo, Ling Chen, Lifeng Liu, Zhe Zhang, Xiaojin Zhang, Qing Yu et al. Identification of a panel of complex autoantigens (LGALS3, PHB2, MUC1, and GK2) in combination with CA15-3 for the diagnosis of early-stage breast cancer. Tumour biology: the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016, 37:1309-131

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