Arquivos de Asma, Alergia e Imunologia
https://www.aaai-asbai.org.br/article/doi/10.5935/2526-5393.20210039
Arquivos de Asma, Alergia e Imunologia
Artigo de Revisão

Papel do genoma e do microbioma na patogenia e abordagem terapêutica da asma

Role of the genome and microbiome in the pathogenesis and treatment of asthma

Hisbello da Silva Campos

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Resumo

Asma é uma denominação única para um conjunto de disfunções respiratórias que se expressam, clinicamente, por episódios repetidos, com intensidade variável de dispneia, sibilos, tosse e opressão torácica. A variação entre suas formas clínicas é resultante da participação e interação entre fatores genéticos, microbiômicos e ambientais. O progresso na área médica, ao incorporar novos recursos tecnológicos da biociência e bioinformática, vem desvendando a intimidade dos processos genéticos e moleculares envolvidos nos diferentes mecanismos patogênicos presentes na asma. Isso vem levando à identificação de novos alvos terapêuticos e à pesquisa de novos agentes medicamentosos. Ao mesmo tempo, a perspectiva de inserção paulatina desses recursos no cotidiano médico tem promovido mudanças na prática médica, que vem adotando os princípios da medicina de precisão. Possivelmente, estas mudanças melhorarão o horizonte dos asmáticos, uma população ainda desprovida de instrumentos terapêuticos totalmente efetivos.

Palavras-chave

Asma, genética, microbiota, medicina de precisão.

Abstract

Asthma is a unique designation for a set of respiratory dysfunctions clinically expressed by repeated episodes of varying intensity of dyspnea, wheezing, cough, and chest oppression. The variation between its clinical forms is the result of the participation and interaction between genetic, microbiomic, and environmental factors. Progress in the medical field, with incorporation of new technological resources from bioscience and bioinformatics, has been unveiling the intimacy of genetic and molecular processes involved in the different pathogenic mechanisms present in asthma. This has led to the identification of new therapeutic targets and the search for new therapeutic agents. At the same time, the perspective of gradual insertion of these resources in daily medical activities has been promoting changes in medical practice, which has been adopting the principles of precision medicine. Possibly, these changes will provide a better future for asthmatic patients, a population still devoid of fully effective therapeutic instruments.

Keywords

Asthma, genetics, microbiota, precision medicine.

Referências

1. Scherzer R, Grayson MH. Heterogeneity and the origins of Asthma. Ann Allergy Asthma Immunol. 2018;121(4):400-5.

2. Tyler SR , Bunyavanich S. Leveraging -omics for asthma endotyping. J Allergy Clin Immunol. 2019;144(1):13-23.

3. Wang L, Feng M, Qiuwen Li, Qiu C, Chen R. Advances in nanotechnology and asthma. Ann Transl Med 2019;7(8):180.

4. Agache IO. From phenotypes to endotype to asthma treatment. Curr Opin Allergy Clin Immunol. 2013;13(3):249-56.

5. Isidoro-García M, Sánchez-Martín A, García-Sánchez A, Sanz C, García-Berrocal B, Dávila I. Pharmacogenetics and the treatment of asthma. Pharmacogenomics. 2017;18(13):1271‑80.

6. Agache I, Akdis CA. Precision medicine and phenotypes, endotypes, genotypes, regiotypes, and theratypes of allergic diseases. J Clin Invest. 2019;129(4):1493-503.

7. Agache I, Rogozea L. Asthma biomarkers: do they bring precision medicine closer to the clinic? Allergy Asthma Immunol Res. 2017;9(6):466-76.

8. Thomsen SF, van der Sluis S, Kyvik KO, Skytthe A, Backer V. Estimates of asthma heritability in a large twin sample. Clin Exp Allergy. 2010;40(7):1054-61.

9. Moffatt MF, Gut IG, Demenais F, Strachan DP, Bouzigon E, Heath S, et al. A large-scale, consortium-based genomewide association study of asthma. N Engl J Med. 2010;363(13):1211-21.

10. Manolio TA, Collins FS, Cox NJ, Goldstein DB, Hindorff LA, Hunter DJ, et al. Finding the missing heritability of complex diseases. Nature.

2009 Oct 8;461(7265):747-53.

11. Martinez FD, Vercelli D. Asthma. Lancet. 2013;382:1360‑72.

12. von Mutius E, Vercelli D. Farm living: effects on childhood asthma and allergy. Nat Rev Immunol. 2010;10:861‑8.

13. Ober C, Vercelli D. Gene-environment interactions in human disease: nuisance or opportunity? Trends Genet. 2011;27:107‑15.

14. Riggs AD, Porter TN. Overview of Epigenetic Mechanisms. Cold Spring Harbor Monograph Archive. 1996;32:29-45.

15. Zhang H, Tong X, Holloway JW, Rezwan FI, Lockett GA, Patil V, et al. The interplay of DNA methylation over time with Th2 pathway genetic variants on asthma risk and temporal asthma transition. Clin Epigenetics. 2014;6(1):8.

16. Seumois G, Chavez L, Gerasimova A, Lienhard M, Omran N, Kalinke L, et al. Epigenomic analysis of primary human T cells reveals enhancers associated with TH2 memory cell differentiation and asthma susceptibility. Nat Immunol. 2014;15(8):777-88.

17. Gerasimova A, Chavez L, Li B, Seumois G, Greenbaum J, Rao A, et al. Predicting cell types and genetic variations contributing to disease by combining GWAS and epigenetic data. PLoS One. 2013;8(1):e54359.

18. Liang L, Willis-Owen SAG, Laprise C, Wong KCC, Davies GA, Hudson TJ, et al. An epigenome-wide association study of total serum immunoglobulin E concentration. Nature. 2015;520(7549):670‑4.

19. Brook PO, Perry MM, Adcock IM, Durham AL. Epigenome-modifying tools in asthma. Epigenomics. 2015;7(6):1017-32.

20. Behjat S, Tarpey OS. What is generation sequencing? Arch Dis Child Educ Pract Ed. 2013;98:236-8.

21. Moffatt MF, Gut IG, Demenais F, Strachan DP, Bouzigon E, Heath S, et al. A large-scale, consortium-based genomewide association study of asthma. N Engl J Med. 2010;363(13):1211‑21.

22. Galanter JM, Gignoux CR, Torgerson DG, Roth LA, Eng C, Oh SS, et al. Genome-wide association study and admixture mapping identify different asthma-associated loci in Latinos: the Genes-environments & Admixture in Latino Americans study. J Allergy Clin Immunol. 2014;134(2):295-305.

23. Almoguera B, Vazquez L, Mentch F, Connolly J, Pacheco JA, Sundaresan AS, et al. Identification of Four Novel Loci in Asthma in European American and African American Populations. Am J Respir Crit Care Med. 2017;195(4):456-63.

24. Nieuwenhuis MA, Siedlinski M, van den Berge M, Granell R, Li X, Niens M, et al. Combining genomewide association study and lung eQTL analysis provides evidence for novel genes associated with asthma. Allergy. 2016;71(12):1712‑20.

25. Slager RE, Hawkins GA, Li X, Postma DS, Meyers DA, Bleecker ER. Genetics of asthma susceptibility and severity. Clin Chest Med. 2012;33(3):431-43.

26. Schoettler N, Rodríguez E, Weidinger S, Ober C. Advances in asthma and allergic disease genetics: Is bigger always better? J Allergy Clin Immunol. 2019;144(6):1495-506.

27. García-Menaya JM, Cordobés-Durán C, García-Martín E, Agúndez JAG. Pharmacogenetic Factors affecting asthma treatment response. potential implications for drug therapy. Front Pharmacol. 2019;10:520.

28. Tantisira KG, Lake S, Silverman ES, Palmer LJ, Lazarus R, Silverman EK, et al. Corticosteroid pharmacogenetics: association of sequence variants in CRHR1 with improved lung function in asthmatics treated with inhaled corticosteroids. Hum Mol Genet. 2004;13(13):1353-9.

29. Tantisira KG, Lasky-Su J, Harada M, Murphy A, Litonjua AA, Himes BE, et al. Genomewide association between GLCCI1 and response to glucocorticoid therapy in asthma. N Engl J Med. 2011;365(13):1173‑83.

30. Hawkins GA, Lazarus R, Smith RS, Tantisira KG, Meyers DA, Peters SP, et al. The glucocorticoid receptor heterocomplex gene STIP1 is associated with improved lung function in asthmatic subjects treated with inhaled corticosteroids. J Allergy Clin Immunol. 2009;123(6):1376-83.e7.

31. Bleecker ER, Postma DS, Lawrance RM, Meyers DA, Ambrose HJ, Goldman M. Effect of ADRB2 polymorphisms on response to longacting beta2-agonist therapy: a pharmacogenetic analysis of two randomised studies. Lancet. 2007 Dec 22;370(9605):2118-25.

32. Israel E, Drazen JM, Liggett SB, Boushey HA, Cherniack RM, Chinchilli VM, et al. The effect of polymorphisms of the beta(2)- adrenergic receptor on the response to regular use of albuterol in asthma. Am J Respir Crit Care Med. 2000;162(1):75-80.

33. Wechsler ME, Kunselman SJ, Chinchilli VM, Bleecker E, Boushey HA, Calhoun WJ, et al. Effect of beta2-adrenergic receptor polymorphism on response to longacting beta2 agonist in asthma (LARGE trial): a genotype-stratified, randomised, placebo-controlled, crossover trial. Lancet. 2009;374(9703):1754-64.

34. Petersen C, Round JL. Defining dysbiosis and its influence on host immunity and disease. Cell Microbiol. 2014;16:1024‑33.

35. The Human Microbiome Project Consortium. Structure, function and diversity of the healthy human microbiome. Nature. 2012;486:207‑14.

36. Luca F, Kupfer SS, Knights D, Khoruts A, Blekhman R. Functional Genomics of Host-Microbiome Interactions in Humans. Trends Genet. 2018;34(1):30-40.

37. Budden KF, Shukla SD, Rehman SF, Bowerman KL, Keely S, Hugenholtz P, et al. Functional effects of the microbiota in chronic respiratory disease. Lancet Respir Med. 2019;7(10):907-20.

38. Kundu P, Blacher E, Elinav E, Pettersson S. Our Gut Microbiome: The Evolving Inner Self. Cell. 2017;171(7):1481‑93.

39. Nichols RG, Peters JM, Patterson AD. Interplay between the host, the human microbiome and drug metabolism. Human Genomics. 2019;13(1):27-37.

40. Sokolowska M, Frei R, Lunjani N, Akdis CA, O'Mahony L. Microbiome and asthma. Asthma Res Pract. 2018;4:1.

41. Sullivan A, Hunt E, MacSharry J, Murphy DM. 'The Microbiome and the Pathophysiology of Asthma'. Respir Res. 2016;17(1):163.

42. Huang YJ, Nelson CE, Brodie EL, Desantis TZ, Baek MS, Liu J, et al. Airway microbiota and bronchial hyperresponsiveness in patients with suboptimally controlled asthma. J Allergy Clin Immunol. 2011;127(2):372-381.e1-3.

43. Singanayagam A, Ritchie AI, Johnston SL. Role of microbiome in the pathophysiology and disease course of Asthma. Curr Opin Pulm Med. 2017;23(1):41-7.

44. Denner DR, Sangwan N, Becker JB, Hogarth DK, Oldham J, Castillo J, et al. Corticosteroid therapy and airflow obstruction influence the bronchial microbiome, which is distinct from that of bronchoalveolar lavage in asthmatic airways. J Allergy Clin Immunol. 2016;137(5):1398-1405.e3.

45. Wong EH, Porter JD, Edwards MR, Johnston SL. The role of macrolides in asthma: current evidence and future directions. Lancet Respir Med. 2014;2(8):657-70.

46. Simpson JL, Daly J, Baines KJ, Yang IA, Upham JW, Reynolds PN, et al. Airway dysbiosis: Haemophilus influenzae and Tropheryma in poorly controlled asthma. Eur Respir J. 2016;47(3):792-800.

47. Orivuori L, Mustonen K, de Goffau MC, Hakala S, Paasela M, Roduit C, et al. High level of fecal calprotectin at age 2 months as a marker of intestinal inflammation predicts atopic dermatitis and asthma by age 6. Clin Exp Allergy. 2015;45(5):928-39.

48. Kalliomäki M, Kirjavainen P, Eerola E, Kero P, Salminen S, Isolauri E. Distinct patterns of neonatal gut microflora in infants in whom atopy was and was not developing. J Allergy Clin Immunol. 2001;107(1):129-34.

49. van Nimwegen FA, Penders J, Stobberingh EE, Postma DS, Koppelman GH, Kerkhof M, et al. Mode and place of delivery, gastrointestinal microbiota, and their influence on asthma and atopy. J Allergy Clin Immunol. 2011;128(5):948-55.e1-3.

50. Hevia A, Milani C, López P, Donado CD, Cuervo A, González S, et al. Allergic Patients with Long-Term Asthma Display Low Levels of Bifidobacterium adolescentis. PLoS One. 2016;11(2):e0147809.

51. Virkud YV, Kelly RS, Wood C, Lasky-Su JA. The nuts and bolts of omics for the clinical allergist. Ann Allergy Asthma Immunol. 2019;123(6):558-63.

52. Colas L, Hassoun D, Magnan A. Needs for systems approaches to better treat individuals with severe Asthma: predicting phenotypes and responses to treatments. Frontiers in Medicine. 2020;7(98):1‑18.

53. Wang M, Yu G, Ressom HW. Integrative Analysis of Proteomic, Glycomic, and Metabolomic Data for Biomarker Discovery. IEEE J Biomed Health Inform. 2016;20(5):1225-31.

54. Butte AJ, Kohane IS. Mutual information relevance networks: functional genomic clustering using pairwise entropy measurements. Pac Symp Biocomput. 2000:418-29.

55. Dahl A, Cai N, Ko A, Laakso M, Pajukanta P, Flint J, et al. Reverse GWAS: Using genetics to identify and model phenotypic subtypes. PLoS Genet. 2019;15(4):e1008009.

56. Computational Pan-Genomics Consortium. Computational pangenomics: status, promises and challenges. Brief Bioinform. 2018;19(1):118-35.

57. Kingsley SM, Bhat BV. Role of microRNAs in sepsis. Inflamm Res. 2017;66:553-69.

58. Harris KS, Zhang Z, McManus MT, Harfe BD, Sun X. Dicer function is essential for lung epithelium morphogenesis. Proc Natl Acad Sci U S A. 2006;103(7):2208-13.

59. Zhang J, Li S, Li L, Li M, Guo C, Yao J, et al. Exosome and exosomal microRNA: trafficking, sorting, and function. Genomics Proteomics Bioinformatics. 2015;13(1):17-24.

60. Tay HL, Plank M, Collison A, Mattes J, Kumar RK, Foster PS. MicroRNA: potential biomarkers and therapeutic targets for allergic asthma? Ann Med. 2014;46:633-9.

61. Mortaz E, Alipoor SD, Varahram M, Jamaati H, Garssen J, Mumby SE, et al. Exosomes in Severe Asthma: Update in Their Roles and Potential in Therapy. Biomed Res Int. 2018;2018:2862187.

62. Gon Y, Shimizu T, Mizumura K, Maruoka S, Hikichi M. Molecular techniques for respiratory diseases: MicroRNA and extracellular vesicles. Respirology. 2020;25(2):149-60.

63. Chen J, Hu C, Pan P. Extracellular Vesicle MicroRNA Transfer in Lung Diseases. Front Physiol. 2017;8:1028.

64. Santos R, Ursu O, Gaulton A, Bento AP, Donadi RS, Bologa CG, et al. A comprehensive map of molecular drug targets. Nat Rev Drug Discov. 2017;16(1):19-34.

65. Passi M, Shahid S, Chockalingam S, Sundar IK, Packirisamy G. Conventional and Nanotechnology Based Approaches to Combat Chronic Obstructive Pulmonary Disease: Implications for Chronic Airway Diseases. Int J Nanomedicine. 2020;15:3803-26.

66. Wang L, Feng M, Li Q, Qiu C, Chen R. Advances in nanotechnology and asthma. Ann Transl Med. 2019 Apr;7(8):180.

67. Barnes PJ. Targeting cytokines to treat asthma and chronic obstructive pulmonary disease. Nat Rev Immunol. 2018;18:454‑66.

68. Schimke RN. Drugs and heredity. Pharmacogenetics - the study of heritable variations in drug response. J Kans Med Soc. 1969;70(3):146-50.

69. Meyer UA. Pharmacogenetics - five decades of therapeutic lessons from genetic diversity. Nat Rev Genet. 2004; 5(9):669-76.

70. Farzan N, Vijverberg SJ, Andiappan AK, Arianto L, Berce V, Blanca-López N, et al. Rationale and design of the multiethnic Pharmacogenomics in Childhood Asthma consortium. Pharmacogenomics. 2017;18(10):931-43.


Submetido em:
20/04/2021

Aceito em:
25/04/2021

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