سامانه مدیریت نشریات علمی دانشگاه علوم پزشکی مشهد

Sharebiani, Hiva, Hajimiri, Sara, Abbasnia, Shadi, Soleimanpour, Saman, Asnaashari, Amir Mohamad Hashem, Valizadeh, Narges, Derakhshan, Mohammad, Pilpa, Rezvan, Firouzeh, Arezoo, Ghazvini, Kiarash, Amel JamehDar, Saeid, Rezaee, Seyed Abdolrahim. (1400). Game theory applications in host-microbe interactions toward disease manifestation: Mycobacterium tuberculosis infection as an example. , 24(10), 1324-1335. doi: 10.22038/ijbms.2021.55471.12410
Hiva Sharebiani; Sara Hajimiri; Shadi Abbasnia; Saman Soleimanpour; Amir Mohamad Hashem Asnaashari; Narges Valizadeh; Mohammad Derakhshan; Rezvan Pilpa; Arezoo Firouzeh; Kiarash Ghazvini; Saeid Amel JamehDar; Seyed Abdolrahim Rezaee. "Game theory applications in host-microbe interactions toward disease manifestation: Mycobacterium tuberculosis infection as an example". , 24, 10, 1400, 1324-1335. doi: 10.22038/ijbms.2021.55471.12410
Sharebiani, Hiva, Hajimiri, Sara, Abbasnia, Shadi, Soleimanpour, Saman, Asnaashari, Amir Mohamad Hashem, Valizadeh, Narges, Derakhshan, Mohammad, Pilpa, Rezvan, Firouzeh, Arezoo, Ghazvini, Kiarash, Amel JamehDar, Saeid, Rezaee, Seyed Abdolrahim. (1400). 'Game theory applications in host-microbe interactions toward disease manifestation: Mycobacterium tuberculosis infection as an example', , 24(10), pp. 1324-1335. doi: 10.22038/ijbms.2021.55471.12410
Sharebiani, Hiva, Hajimiri, Sara, Abbasnia, Shadi, Soleimanpour, Saman, Asnaashari, Amir Mohamad Hashem, Valizadeh, Narges, Derakhshan, Mohammad, Pilpa, Rezvan, Firouzeh, Arezoo, Ghazvini, Kiarash, Amel JamehDar, Saeid, Rezaee, Seyed Abdolrahim. Game theory applications in host-microbe interactions toward disease manifestation: Mycobacterium tuberculosis infection as an example. , 1400; 24(10): 1324-1335. doi: 10.22038/ijbms.2021.55471.12410

Game theory applications in host-microbe interactions toward disease manifestation: Mycobacterium tuberculosis infection as an example

Iranian Journal of Basic Medical Sciences
دوره 24، شماره 10، دی 2021، صفحه 1324-1335    اصل مقاله (973.32 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22038/ijbms.2021.55471.12410
نویسندگان
Hiva Sharebiani1؛ Sara Hajimiri1؛ Shadi Abbasnia1، 2؛ Saman Soleimanpour2، 3؛ Amir Mohamad Hashem Asnaashari4؛ Narges Valizadeh1؛ Mohammad Derakhshan2، 3؛ Rezvan Pilpa2، 3؛ Arezoo Firouzeh2، 3؛ Kiarash Ghazvini2، 3؛ Saeid Amel JamehDar2، 3؛ Seyed Abdolrahim Rezaee* 1
1Immunology Research Center, Inflammation and Inflammatory Diseases Division, Mashhad University of Medical Sciences, Mashhad, Iran
2Antimicrobial Resistance Research Center, Bu-Ali Research Institute, Mashhad University of Medical Sciences, Mashhad, Iran
3Department of Microbiology and Virology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
4Lung Disease Research Center, Mashhad University of Medical Science, Mashhad, Iran
چکیده
Objective(s): Game theory describes the interactions between two players and the pay-off from winning, losing, or compromising. In the present study, Mycobacterium tuberculosis (Mtb)–host interactions were used as an example for the application of game theory to describe and predict the different outcomes of Mtb-infection and introducing target molecules for use in protection or therapy.
Materials and Methods: The gene expression for eight main markers (CCR1, CCR2, IDO, Tbet, TGFβ, iNOS, MMP3, MMP9) of host response and three Mtb virulence factors (Ag85B, CFP-10, ESAT-6) were assessed in broncho-alveolar lavage of TB+ and TB- patients.
Results: The players’ strategies in the “Nash equilibrium”, showed that Ag85B is the main virulence factor for Mtb in active phase, and also the most immunogenic factor, if the host can respond by high expression of T-bet and iNOS toward a Th1 response. In this situation, Mtb can express high levels of ESAT-6 and CFP10 and change the game to the latency, in which host responses by medium expression of T-bet and iNOS and medium level of TGF-β and IDO. Consistently, the IDO expression was 134-times higher in TB+s than the TB-s,and the T-bet expression,~200-times higher in the TB-s than the TB+s. Furthermore, Mtb-Ag85B had a strong positive association with CCR2, T-bet and iNOS, but had a negative correlation with IDO.
Conclusion: Ag85B and maybe ESAT6 (without its suppressive C-terminal) should be considered for making subunit vaccines. And, preventing IDO formation in dendritic cells might be a novel target for immunotherapy of tuberculosis, to reduce the pressure of immune-suppression on Th1 responses.
کلیدواژه‌ها
Game theory؛ M. tuberculosis antigens؛ Mycobacterium tuberculosis؛ Th1؛ Tuberculosis
مراجع
1. von Neumann J MO. Theory of games and economic behaviour. Princeton, NJ: Princeton University Press 1944.
2. Schmidt EFaKM. A theory of fairness, competition, and cooperation. Quarterly J Economics 1999; 114: 817-868.
3. Lambert G, Vyawahare S, Austin RH. Bacteria and game theory: The rise and fall of cooperation in spatially heterogeneous environments. Interface Focus 2014; 4: 20140029.
4. Tago D, Meyer DF. Economic game theory to model the attenuation of virulence of an obligate intracellular bacterium. Front Cell Infect Microbiol 2016; 6: 86.
5. Ehrt S, Rhee K, Schnappinger D. Mycobacterial genes essential for the pathogen’s survival in the host. Immunol Rev 2015; 264: 319-326.
6. Gengenbacher M, Kaufmann SHE. Mycobacterium tuberculosis: Success through dormancy. FEMS Microbiol Rev 2012; 36: 514-532.
7. Peddireddy V, Doddam SN, Ahmed N. Mycobacterial dormancy systems and host responses in tuberculosis. Front Immunol 2017; 8: 84.
8. Cheepsattayakorn A, Cheepsattayakorn R. Human genetic influence on susceptibility of tuberculosis: From infection to disease. J Med Assoc Thai 2009; 92: 136-141.
9. Kathirvel M, Mahadevan S. The role of epigenetics in tuberculosis infection. Epigenomics 2016; 8: 537-549.
10. Esterhuyse MM, Linhart HG, Kaufmann SH. Can the battle against tuberculosis gain from epigenetic research? Trends Microbiol 2012; 20: 220-226.
11. Khademi F, Derakhshan M, Yousefi-Avarvand A, Tafaghodi M, Soleimanpour S. Multi-stage subunit vaccines against Mycobacterium tuberculosis: An alternative to the BCG vaccine or a BCG-prime boost? Expert Rev Vaccines 2018; 17: 31-44.
12. Ahmad S. Pathogenesis, immunology, and diagnosis of latent Mycobacterium tuberculosis infection. Clin Dev Immunol 2011; 2011: 814943.
13. Lenaerts A, Barry CE, Dartois V. Heterogeneity in tuberculosis pathology, microenvironments and therapeutic responses. Immunol Rev 2015; 264: 288-307.
14. Tang XL, Zhou YX, Wu SM, Pan Q, Xia B, Zhang XL. CFP10 and ESAT6 aptamers as effective Mycobacterial antigen diagnostic reagents. J Infect 2014; 69: 569-580.
15. Forrellad MA, Klepp LI, Gioffré A, Sabio y García J, Morbidoni HR, Santangelo MdlP, et al. Virulence factors of the Mycobacterium tuberculosis complex. Virulence 2013; 4: 3-66.
16. Domingo-Gonzalez R, Prince O, Cooper A, Khader S. Cytokines and chemokines in Mycobacterium tuberculosis infection. Microbiol Spectr 2016; 4: 10.
17. da Silva MV, Massaro Junior VJ, Machado JR, Silva DAA, Castellano LR, Alexandre PBD, et al. Expression pattern of transcription factors and intracellular cytokines reveals that clinically cured tuberculosis is accompanied by an increase in mycobacterium-specific Th1, Th2, and Th17 Cells. Biomed Res Int 2015; 2015: 591237.
18. Blumenthal A, Nagalingam G, Huch JH, Walker L, Guillemin GJ, Smythe GA, et al. M. tuberculosis induces potent activation of IDO-1, but this is not essential for the immunological control of infection. PLoS One 2012; 7: e37314.
19. Boer MC, Joosten SA, Ottenhoff THM. Regulatory T-Cells at the Interface between human host and pathogens in infectious diseases and vaccination. Front Immunol 2015; 6: 217.
20. Rivera-Marrero CA, Schuyler W, Roser S, Ritzenthaler JD, Newburn SA, Roman J. M. tuberculosis induction of matrix metalloproteinase-9: The role of mannose and receptor-mediated mechanisms. Am J Physiol Lung Cell Mol Physiol 2002; 282: 546-555.
21. Lam A, Prabhu R, Gross CM, Riesenberg LA, Singh V, Aggarwal S. Role of apoptosis and autophagy in tuberculosis. Am J Physiol Lung Cell Mol Physiol 2017; 313: L218-l229.
22. Ong CW, Elkington PT, Friedland JS. Tuberculosis, pulmonary cavitation, and matrix metalloproteinases. Am J Respir Crit Care Med 2014; 190: 9-18.
23. Eswarappa SM. Location of pathogenic bacteria during persistent infections: Insights from an analysis using game theory. PLoS One 2009; 4: e5383.
24. Kianmehr M, Rezaei A, Hosseini M, Khazdair MR, Rezaee R, Askari VR, et al. Immunomodulatory effect of characterized extract of Zataria multiflora on Th1, Th2 and Th17 in normal and Th2 polarization state. Food Chem Toxicol 2017; 99: 119-127.
25. Indrajit Raya SS. Observable implications of Nash and subgame-perfect behavior in extensive games. J Math Econ 2013; 49: 471-477.
26. Nash J. Non-cooperative games. Ann Math 1951; 54: 286-295.
27. Sorin S. Chapter 4 Repeated games with complete information. Handbook of Game Theory with Economic Applications 1992; 1: 71-107.
28. Barton L. Lipman RW. Switching costs in infinitely repeated games. GEB 2009; 66: 292-314.
29. Smith JM. The theory of games and the evolution of animal conflicts. J Theor Biol 1974; 47: 209-221.
30. R Axelrod WH. The evolution of cooperation. Science 1981; 211: 1390-1396.
31. Ip M, Zheng L, Leung ET, Lee N, Lui G, To KF, et al. Human epigenetic alterations in Mycobacterium tuberculosis infection: A novel platform to eavesdrop interactions between M. tuberculosis and host immunity. Hong Kong Med J 2015; 21 Suppl 7: S31-35.
32. Heifetz A. Game Theory interactive strategies in economics and management: Cambridge University Press 2012.
33. Esmail H, Barry CE, Young DB, Wilkinson RJ. The ongoing challenge of latent tuberculosis. Philos Trans R Soc Lond B Biol Sci 2014; 369: 20130437.
34. Pathak SK, Basu S, Basu KK, Banerjee A, Pathak S, Bhattacharyya A, et al. Direct extracellular interaction between the early secreted antigen ESAT-6 of Mycobacterium tuberculosis and TLR2 inhibits TLR signaling in macrophages. Nat Immunol 2007; 8: 610-618.
35. Hirsch CS, Rojas R, Wu M, Toossi Z. Mycobacterium tuberculosis induces expansion of Foxp3 positive CD4 T-cells with a regulatory profile in tuberculin non-sensitized healthy subjects: Implications for effective immunization against TB. J Clin Cell Immunol 2016; 7: 428.
36. Rodriguez D, Morrison CJ, Overall CM. Matrix metalloproteinases: What do they not do? New substrates and biological roles identified by murine models and proteomics. Biochim Biophys Acta 2010; 1803: 39-54.
37. Salgame P. MMPs in tuberculosis: Granuloma creators and tissue destroyers. J Clin Invest 2011; 121: 1686-1688.
38. Moores RC, Brilha S, Schutgens F, Elkington PT, Friedland JS. Epigenetic regulation of matrix metalloproteinase-1 and -3 expression in Mycobacterium tuberculosis infection. Front Immunol 2017; 8: 602.
39. Shi C, Pamer EG. Monocyte recruitment during infection and inflammation. Nat Rev Immunol 2011; 11: 762-774.
40. Karbalaei Zadeh Babaki M, Soleimanpour S, Rezaee SA. Antigen 85 complex as a powerful Mycobacterium tuberculosis immunogene: Biology, immune-pathogenicity, applications in diagnosis, and vaccine design. Microb Pathog 2017; 112: 20-29.
41. Guo S, Xue R, Li Y, Wang SM, Ren L, Xu JJ. The CFP10/ESAT6 complex of Mycobacterium tuberculosis may function as a regulator of macrophage cell death at different stages of tuberculosis infection. Med Hypotheses 2012; 78: 389-392.
42. Soleimanpour S, Farsiani H, Mosavat A, Ghazvini K, Eydgahi MR, Sankian M, et al. APC targeting enhances immunogenicity of a novel multistage Fc-fusion tuberculosis vaccine in mice. Appl Microbiol Biotechnol 2015; 99: 10467-10480.
43. Sia J, Rengarajan J. Immunology of Mycobacterium tuberculosis i nfections. Microbiol Spectr 2019.
44. Flynn JL, Chan J, Lin PL. Macrophages and control of granulomatous inflammation in tuberculosis. Mucosal Immunol 2011; 4: 271-278.
45. Shim D, Kim H, Shin SJ. Mycobacterium tuberculosis infection-driven foamy macrophages and their implications in tuberculosis control as targets for host-directed therapy. Front Immunol 2020; 11: 910.
46. Muefong CN, Sutherland JS. Neutrophils in tuberculosis-associated inflammation and lung pathology. Front Immunol 2020; 11: 962.


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