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A combined application of molecular docking technology and indirect ELISA for the serodiagnosis of bovine tuberculosis

  • Song, Shengnan (College of Animal Science and Technology, Shihezi University) ;
  • Zhang, Qian (State Key Laboratory for Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural and Reclamation Science) ;
  • Yang, Hang (College of Animal Science and Technology, Shihezi University) ;
  • Guo, Jia (College of Animal Science and Technology, Shihezi University) ;
  • Xu, Mingguo (College of Animal Science and Technology, Shihezi University) ;
  • Yang, Ningning (College of Animal Science and Technology, Shihezi University) ;
  • Yi, Jihai (College of Animal Science and Technology, Shihezi University) ;
  • Wang, Zhen (College of Animal Science and Technology, Shihezi University) ;
  • Chen, Chuangfu (College of Animal Science and Technology, Shihezi University)
  • Received : 2021.10.19
  • Accepted : 2022.04.18
  • Published : 2022.05.31

Abstract

Background: There is an urgent need to find reliable and rapid bovine tuberculosis (bTB) diagnostics in response to the rising prevalence of bTB worldwide. Toll-like receptor 2 (TLR2) recognizes components of bTB and initiates antigen-presenting cells to mediate humoral immunity. Evaluating the affinity of antigens with TLR2 can form the basis of a new method for the diagnosis of bTB based on humoral immunity. Objectives: To develop a reliable and rapid strategy to improve diagnostic tools for bTB. Methods: In this study, we expressed and purified the sixteen bTB-specific recombinant proteins in Escherichia coli. The two antigenic proteins, MPT70 and MPT83, which were most valuable for serological diagnosis of bTB were screened. Molecular docking technology was used to analyze the affinity of MPT70, MPT83, dominant epitope peptide of MPT70 (M1), and dominant epitope peptide MPT83 (M2) with TLR2, combined with the detection results of enzyme-linked immunosorbent assay to evaluate the molecular docking effect. Results: The results showed that interaction surface Cα-atom root mean square deviation of proteins (M1, M2, MPT70, MPT83)-TLR2 protein are less than 2.5 A, showing a high affinity. It is verified by clinical serum samples that MPT70, MPT83, MPT70-MPT83 showed good diagnostic potential for the detection of anti-bTB IgG and M1, M2 can replace the whole protein as the detection antigen. Conclusions: Molecular docking to evaluate the affinity of bTB protein and TLR2 combined with ELISA provides new insights for the diagnosis of bTB.

Keywords

Acknowledgement

This research was supported by Open Fund of National Natural Key Research and Development Plan (No. 2017YFD0500304), Key R&D Project of Hebei Province (21322912D) and Corps Major Scientific and Technological Projects (No. 2017AA003).

References

  1. Ernst JD, Trevejo-Nunez G, Banaiee N. Genomics and the evolution, pathogenesis, and diagnosis of tuberculosis. J Clin Invest. 2007;117(7):1738-1745. https://doi.org/10.1172/JCI3181
  2. Bigi MM, Blanco FC, Araujo FR, Thacker TC, Zumarraga MJ, Cataldi AA, et al. Polymorphisms of 20 regulatory proteins between Mycobacterium tuberculosis and Mycobacterium bovis. Microbiol Immunol. 2016;60(8):552-560. https://doi.org/10.1111/1348-0421.12402
  3. Garnier T, Eiglmeier K, Camus JC, Medina N, Mansoor H, Pryor M, et al. The complete genome sequence of Mycobacterium bovis. Proc Natl Acad Sci U S A. 2003;100(13):7877-7882. https://doi.org/10.1073/pnas.1130426100
  4. Suzuki Y, Matsuba T, Nakajima C. Zoonotic aspects of tuberculosis caused by Mycobacterium bovis. Kekkaku. 2010;85(2):79-86.
  5. Michel AL, Muller B, van Helden PD. Mycobacterium bovis at the animal-human interface: a problem, or not? Vet Microbiol. 2010;140(3-4):371-381. https://doi.org/10.1016/j.vetmic.2009.08.029
  6. Amadori M, Tagliabue S, Lauzi S, Finazzi G, Lombardi G, Telo P, et al. Diagnosis of Mycobacterium bovis infection in calves sensitized by mycobacteria of the avium/intracellulare group. J Vet Med B Infect Dis Vet Public Health. 2002;49(2):89-96. https://doi.org/10.1046/j.1439-0450.2002.00513.x
  7. Liu S, Guo S, Wang C, Shao M, Zhang X, Guo Y, et al. A novel fusion protein-based indirect ELISA for the detection of bovine tuberculosis. Tuberculosis (Edinb). 2007;87(3):212-217. https://doi.org/10.1016/j.tube.2006.07.007
  8. Andersen P, Andersen AB, Sorensen AL, Nagai S. Recall of long-lived immunity to Mycobacterium tuberculosis infection in mice. J Immunol. 1995;154(7):3359-3372. https://doi.org/10.4049/jimmunol.154.7.3359
  9. Kuppili PP, Manohar H, Menon V. Current status of vaccines in psychiatry-A narrative review. Asian J Psychiatr. 2018;31:112-120. https://doi.org/10.1016/j.ajp.2018.02.004
  10. Kaisho T, Akira S. Toll-like receptors as adjuvant receptors. Biochim Biophys Acta. 2002;1589(1):1-13. https://doi.org/10.1016/S0167-4889(01)00182-3
  11. Alexopoulou L, Thomas V, Schnare M, Lobet Y, Anguita J, Schoen RT, et al. Hyporesponsiveness to vaccination with Borrelia burgdorferi OspA in humans and in TLR1- and TLR2-deficient mice. Nat Med. 2002;8(8):878-884. https://doi.org/10.1038/nm732
  12. Mehta P, Ray A, Mazumder S. TLRs in mycobacterial pathogenesis: black and white or shades of gray. Curr Microbiol. 2021;78(6):2183-2193. https://doi.org/10.1007/s00284-021-02488-8
  13. Stocks CJ, Schembri MA, Sweet MJ, Kapetanovic R. For when bacterial infections persist: Toll-like receptor-inducible direct antimicrobial pathways in macrophages. J Leukoc Biol. 2018;103(1):35-51. https://doi.org/10.1002/JLB.4RI0917-358R
  14. Faridgohar M, Nikoueinejad H. New findings of Toll-like receptors involved in Mycobacterium tuberculosis infection. Pathog Glob Health. 2017;111(5):256-264. https://doi.org/10.1080/20477724.2017.1351080
  15. Harding CV, Boom WH. Regulation of antigen presentation by Mycobacterium tuberculosis: a role for Toll-like receptors. Nat Rev Microbiol. 2010;8(4):296-307. https://doi.org/10.1038/nrmicro2321
  16. Hu W, Spaink HP. The role of TLR2 in infectious diseases caused by mycobacteria: from cell biology to therapeutic target. Biology (Basel). 2022;11(2):246.
  17. van Zundert GC, Rodrigues JP, Trellet M, Schmitz C, Kastritis PL, Karaca E, et al. The HADDOCK2.2 Web server: user-friendly integrative modeling of biomolecular complexes. J Mol Biol. 2016;428(4):720-725. https://doi.org/10.1016/j.jmb.2015.09.014
  18. Wiker HG. MPB70 and MPB83--major antigens of Mycobacterium bovis. Scand J Immunol. 2009;69(6):492-499. https://doi.org/10.1111/j.1365-3083.2009.02256.x
  19. Amadori M, Lyashchenko KP, Gennaro ML, Pollock JM, Zerbini I. Use of recombinant proteins in antibody tests for bovine tuberculosis. Vet Microbiol. 2002;85(4):379-389. https://doi.org/10.1016/S0378-1135(02)00005-6
  20. Blythe MJ, Flower DR. Benchmarking B cell epitope prediction: underperformance of existing methods. Protein Sci. 2005;14(1):246-248. https://doi.org/10.1110/ps.041059505
  21. Li Y, Li Y, Ning C, Yue J, Zhang C, He X, et al. Discovering inhibitors of TEAD palmitate binding pocket through virtual screening and molecular dynamics simulation. Comput Biol Chem. 2022;98:107648. https://doi.org/10.1016/j.compbiolchem.2022.107648
  22. Tao X, Huang YK, Wang C, Chen F, Yang LL, Ling L, et al. Recent developments in molecular docking technology applied in food science: a review. Int J Food Sci Technol. 2020;55(1):33-45. https://doi.org/10.1111/ijfs.14325
  23. Wang X, Yang Z, Su F, Li J, Boadi EO, Chang YX, et al. Study on structure activity relationship of natural flavonoids against thrombin by molecular docking virtual screening combined with activity evaluation in vitro. Molecules. 2020;25(2):422. https://doi.org/10.3390/molecules25020422
  24. Hall DC Jr, Ji HF. A search for medications to treat COVID-19 via in silico molecular docking models of the SARS-CoV-2 spike glycoprotein and 3CL protease. Travel Med Infect Dis. 2020;35:101646. https://doi.org/10.1016/j.tmaid.2020.101646
  25. Stanzione F, Giangreco I, Cole JC. Use of molecular docking computational tools in drug discovery. Prog Med Chem. 2021;60:273-343. https://doi.org/10.1016/bs.pmch.2021.01.004
  26. Cakir-Koc R, Budama-Kilinc Y, Kokcu Y, Kecel-Gunduz S. Molecular docking of immunogenic peptide of Toxoplasma gondii and encapsulation with polymer as vaccine candidate. Artif Cells Nanomed Biotechnol. 2018;46 Suppl 2:744-754. https://doi.org/10.1080/21691401.2018.1469024
  27. Chen R, Li L, Weng Z. ZDOCK: an initial-stage protein-docking algorithm. Proteins. 2003;52(1):80-87. https://doi.org/10.1002/prot.10389
  28. Wood PR, Corner LA, Rothel JS, Ripper JL, Fifis T, McCormick BS, et al. A field evaluation of serological and cellular diagnostic tests for bovine tuberculosis. Vet Microbiol. 1992;31(1):71-79. https://doi.org/10.1016/0378-1135(92)90142-G
  29. Sugden EA, Stilwell K, Rohonczy EB, Martineau P. Competitive and indirect enzyme-linked immunosorbent assays for Mycobacterium bovis infections based on MPB70 and lipoarabinomannan antigens. Can J Vet Res. 1997;61(1):8-14.
  30. Lyashchenko KP, Singh M, Colangeli R, Gennaro ML. A multi-antigen print immunoassay for the development of serological diagnosis of infectious diseases. J Immunol Methods. 2000;242(1-2):91-100. https://doi.org/10.1016/S0022-1759(00)00241-6
  31. Cho YS, Jung SC, Kim JM, Yoo HS. Enzyme-linked immunosorbent assay of bovine tuberculosis by crude mycobacterial protein 70. J Immunoassay Immunochem. 2007;28(4):409-418. https://doi.org/10.1080/15321810701603781
  32. McNair J, Corbett DM, Girvin RM, Mackie DP, Pollock JM. Characterization of the early antibody response in bovine tuberculosis: MPB83 is an early target with diagnostic potential. Scand J Immunol. 2001;53(4):365-371. https://doi.org/10.1046/j.1365-3083.2001.00874.x
  33. Waters WR, Buddle BM, Vordermeier HM, Gormley E, Palmer MV, Thacker TC, et al. Development and evaluation of an enzyme-linked immunosorbent assay for use in the detection of bovine tuberculosis in cattle. Clin Vaccine Immunol. 2011;18(11):1882-1888. https://doi.org/10.1128/CVI.05343-11