Journal of Microbiology and Biotechnology

  • 제23권8호
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  • Pages.1167-1175
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  • 2013
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  • 1017-7825(pISSN)
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  • 1738-8872(eISSN)
한국미생물·생명공학회 (The Korean Society for Microbiology and Biotechnology)
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Analysis of Transcriptional Profiles to Discover Biomarker Candidates in Mycobacterium avium subsp. paratuberculosis-Infected Macrophages, RAW 264.7

  • Cha, Seung Bin (Department of Infectious Diseases, College of Veterinary Medicine, Brain Korea 21 for Veterinary Science, Seoul National University) ;
  • Yoo, Anna (Department of Infectious Diseases, College of Veterinary Medicine, Brain Korea 21 for Veterinary Science, Seoul National University) ;
  • Park, Hong Tae (Department of Infectious Diseases, College of Veterinary Medicine, Brain Korea 21 for Veterinary Science, Seoul National University) ;
  • Sung, Kyoung Yong (Department of Infectious Diseases, College of Veterinary Medicine, Brain Korea 21 for Veterinary Science, Seoul National University) ;
  • Shin, Min Kyoung (Department of Infectious Diseases, College of Veterinary Medicine, Brain Korea 21 for Veterinary Science, Seoul National University) ;
  • Yoo, Han Sang (Department of Infectious Diseases, College of Veterinary Medicine, Brain Korea 21 for Veterinary Science, Seoul National University)
  • 투고 : 2013.02.13
  • 심사 : 2013.05.03
  • 발행 : 2013.08.28
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초록

Paratuberculosis (PTB) or Johne's disease is one of the most serious chronic debilitating diseases of ruminants worldwide that is caused by Mycobacterium avium subsp. paratuberculosis (MAP). MAP is a slow-growing bacterium that has very long latent periods, resulting in difficulties in diagnosing and controlling the disease, especially regarding the diagnosis of fecal shedders of MAP without any clinical signs. Based on this situation, attempts were made to identify biomarkers that show early responses to MAP infection in a macrophage cell line, RAW 264.7. In response to the infection with the bacterium, a lot of genes were turned on and/or off in the cells. Of the altered genes, three different categories were identified based on the time-dependent gene expression patterns. Those genes were considered as possible candidates for biomarkers of MAP infection after confirmation by quantitative RT-PCR analysis. To the best of our knowledge, this is the first attempt at discovering the host transcriptomic biomarkers of PTB, although further investigation will be required to determine whether these biomarker candidates are associated within the natural host.

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참고문헌

  1. Bull TJ, McMinn EJ, Sidi-Boumedine K, Skull A, Durkin D, Neild P, et al. 2003. Detection and verification of Mycobacterium avium subsp. paratuberculosis in fresh ileocolonic mucosal biopsy specimens from individuals with and without Crohn's disease. J. Clin. Microbiol. 41: 2915-2923. https://doi.org/10.1128/JCM.41.7.2915-2923.2003
  2. Coussens PM, Jeffers A, Colvin C. 2004. Rapid and transient activation of gene expression in peripheral blood mononuclear cells from Johne's disease positive cows exposed to Mycobacterium paratuberculosis in vitro. Microb. Pathog. 36: 93-108. https://doi.org/10.1016/j.micpath.2003.09.007
  3. Diel R, Loddenkemper R, Meywald-Walter K, Niemann S, Nienhaus A. 2008. Predictive value of a whole blood IFN-γ assay for the development of active tuberculosis disease after recent infection with Mycobacterium tuberculosis. Am. J. Respir. Crit. Care Med. 177: 1164-1170. https://doi.org/10.1164/rccm.200711-1613OC
  4. Essaghir A, Demoulin JB. 2012. A minimal connected network of transcription factors regulated in human tumors and its application to the quest for universal cancer biomarkers. PLoS One 7: e39666. https://doi.org/10.1371/journal.pone.0039666
  5. Gold DV, Stein R, Burton J, Goldenberg DM. 2011. Enhanced expression of CD74 in gastrointestinal cancers and benign tissues. Int. J. Clin. Exp. Pathol. 4: 1-12.
  6. Harris NB, Barletta RG. 2001. Mycobacterium avium subsp. paratuberculosis in veterinary medicine. Clin. Microbiol. Rev. 14: 489-512. https://doi.org/10.1128/CMR.14.3.489-512.2001
  7. Heaton MP, Clawson ML, Chitko-Mckown CG, Leymaster KA, Smith TPL, Harhay GP, et al. 2012. Reduced lentivirus susceptibility in sheep with TMEM154 mutations. PLoS Genet. 8: e1002467. https://doi.org/10.1371/journal.pgen.1002467
  8. Irenge LM, Walravens K, Govaerts M, Godfroid J, Rosseels V, Huygen K, et al. 2009. Development and validation of a triplex real-time PCR for rapid detection and specific identification of M. avium subsp. paratuberculosis in faecal samples. Vet. Microbiol. 136: 166-172. https://doi.org/10.1016/j.vetmic.2008.09.087
  9. Jacobsen M, Repsilber D, Gutschmidt A, Neher A, Feldmann K, Mollenkopf HJ, et al. 2007. Candidate biomarkers for discrimination between infection and disease caused by Mycobacterium tuberculosis. J. Mol. Med. (Berl). 85: 613-621. https://doi.org/10.1007/s00109-007-0157-6
  10. Janagama H, Lamont E, George S, Bannantine J, Xu W, Tu Z, et al. 2010. Primary transcriptomes of Mycobacterium avium subsp. paratuberculosis reveal proprietary pathways in tissue and macrophages. BMC Genomics. 11: 561. https://doi.org/10.1186/1471-2164-11-561
  11. Kandemir O, Uluba B, Polat G, Sezer C, Camdeviren H, Kaya A. 2003. Elevation of procalcitonin level in patients with pulmonary tuberculosis and in medical staff with close patient contact. Arch. Med. Res. 34: 311-314. https://doi.org/10.1016/S0188-4409(03)00050-X
  12. Kelley KD, Miller KR, Todd A, Kelley AR, Tuttle R, Berberich SJ. 2010. YPEL3, a p53-regulated gene that induces cellular senescence. Cancer Res. 70: 3566-3575. https://doi.org/10.1158/0008-5472.CAN-09-3219
  13. Kempf T, Wollert KC. 2009. Growth differentiation factor-15: a new biomarker in cardiovascular disease. Herz 34: 594-599. https://doi.org/10.1007/s00059-009-3317-3
  14. Korbely R, Wilflingseder J, Perco P, Kainz A, Langer RM, Mayer B, et al. 2011. Molecular biomarker candidates of acute kidney injury in zero hour renal transplant needle biopsies. Transpl. Int. 24: 143-149. https://doi.org/10.1111/j.1432-2277.2010.01162.x
  15. Li Q, Tainsky MA. 2011. Epigenetic silencing of IRF7 and/ or IRF5 in lung cancer cells leads to increased sensitivity to oncolytic viruses. PLoS One 6: e28683. https://doi.org/10.1371/journal.pone.0028683
  16. Livak KJ, Schmittgen TD. 2001. Analysis of relative gene expression data using real-time quantitative PCR and the 2(- delta delta C(T)) method. Methods 25: 402-408. https://doi.org/10.1006/meth.2001.1262
  17. Motiwala AS, Janagama HK, Paustian ML, Zhu X, Bannantine JP, Kapur V, et al. 2006. Comparative transcriptional analysis of h uman m acrophages e x posed to animal a nd h uman isolates of Mycobacterium avium subspecies paratuberculosis with diverse genotypes. Infect. Immun. 74: 6046-6056. https://doi.org/10.1128/IAI.00326-06
  18. Naser SA, Ghobrial G, Romero C, Valentine JF. 2004. Culture of Mycobacterium avium subspecies paratuberculosis from the blood of patients with Crohn's disease. Lancet 364: 1039-1044. https://doi.org/10.1016/S0140-6736(04)17058-X
  19. Ozdemir D, Cesur S, Annakkaya A, Tarhan G, Hoca NT, Sencan I, et al. 2006. Serum neopterin concentrations in healthy healthcare workers compared with healthy controls and patients with pulmonary tuberculosis. Med. Sci. Monit. 12: CR521-CR524.
  20. Sechi LA, Manuela M, Francesco T, Amelia L, Antonello S, Giovanni F, et al. 2001. Identification of Mycobacterium avium subsp. paratuberculosis in biopsy specimens from patients with Crohn's disease identified by in situ hybridization. J. Clin. Microbiol. 39: 4514-4517. https://doi.org/10.1128/JCM.39.12.4514-4517.2001
  21. Sechi LA, Scanu AM, Molicotti P, Cannas S, Mura M, Dettori G, et al. 2005. Detection and isolation of Mycobacterium avium subspecies paratuberculosis from intestinal mucosal biopsies of patients with and without Crohn's disease in Sardinia. Am. J. Gastroenterol. 100: 1529-1536. https://doi.org/10.1111/j.1572-0241.2005.41415.x
  22. Seth M, Lamont EA, Janagama HK, Widdel A, Vulchanova L, Stabel JR, et al. 2009. Biomarker discovery in subclinical mycobacterial infections of cattle. PLoS One 4: e5478. https://doi.org/10.1371/journal.pone.0005478
  23. Shin SJ, Han JH, Manning EJB, Collins MT. 2007. Rapid and reliable method for quantification of Mycobacterium paratuberculosis by use of the BACTEC MGIT 960 system. J. Clin. Microbiol. 45: 1941-1948. https://doi.org/10.1128/JCM.02616-06
  24. Sieuwerts AM, Look MP, Meijer-Van Gelder ME, Timmermans M, Trapman AMAC, Garcia RR, et al. 2006. Which cyclin E prevails as prognostic marker for breast cancer? Results from a retrospective study involving 635 lymph node-negative breast cancer patients. Clin. Cancer Res. 12: 3319-3328. https://doi.org/10.1158/1078-0432.CCR-06-0225
  25. Sirois-Gagnon D, Chamberland A, Perron S, Brisson D, Gaudet D, Laprise C. 2012. Association of common polymorphisms in the fractalkine receptor (CX3CR1) with obesity. Obesity 19: 222-227.
  26. Soh M, Dunlevy JR, Garrett SH, Allen C, Sens DA, Zhou XD, et al. 2012. Increased neuron-specific enolase expression by urothelial cells exposed to or malignantly transformed by exposure to Cd(2)(+) or As(3)(+). Toxicol. Lett. 212: 66-74. https://doi.org/10.1016/j.toxlet.2012.05.003
  27. Stratford JK, Bentrem DJ, Anderson JM, Fan C, Volmar KA, Marron J, et al. 2010. A six-gene signature predicts survival of patients with localized pancreatic ductal adenocarcinoma. PLoS Med. 7: e1000307. https://doi.org/10.1371/journal.pmed.1000307
  28. Thuny F, Textoris J, Amara AB, El Filali A, Capo C, Habib G, et al. 2012. The gene expression analysis of blood reveals S100A11 and AQP9 as potential biomarkers of infective endocarditis. PLoS One 7: e31490. https://doi.org/10.1371/journal.pone.0031490
  29. Wallis RS, Pai M, Menzies D, Doherty TM, Walzl G, Perkins MD, et al. 2010. Tuberculosis 4 biomarkers and diagnostics for tuberculosis: progress, needs, and translation into practice. Lancet 375: 1920-1937. https://doi.org/10.1016/S0140-6736(10)60359-5
  30. Wang W, Huper G, Guo Y, Murphy SK, Olson JA, Marks JR. 2005. Analysis of methylation-sensitive transcriptome identifies GADD45a as a frequently methylated gene in breast cancer. Oncogene 24: 2705-2714. https://doi.org/10.1038/sj.onc.1208464
  31. Yoo HS, Shin SJ. 2012. Recent research on bovine paratuberculosis in South Korea. Vet Immunol. Immunopathol. 148: 23-28. https://doi.org/10.1016/j.vetimm.2012.06.005
  32. Zhao R, Li H, Shen C, Zheng S. 2011. RRAS: a key regulator and an important prognostic biomarker in biliary atresia. World J. Gastroenterol. 17: 796-803. https://doi.org/10.3748/wjg.v17.i6.796
  33. Zhong L, Taylor D, Begg D, Whittington R. 2011. Biomarker discovery for ovine paratuberculosis (Johne's disease) by proteomic serum profiling. Comp. Immunol. Microbiol. Infect. Dis. 34: 315-326. https://doi.org/10.1016/j.cimid.2011.03.001

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