Unique Chemokine Profiles of Lung Tissues DistinguishPost-chemotherapeutic Persistent and Chronic Tuberculosis in a MouseModel

Collection with item attached
2017
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/486723.do
DOI
10.3389/fcimb.2017.00314
Title
Unique Chemokine Profiles of Lung Tissues DistinguishPost-chemotherapeutic Persistent and Chronic Tuberculosis in a MouseModel
Description
This research was supported by a grant of the Korea Health TechnologyR&D Project through the Korea Health Industry Development Institute(KHIDI), funded by the Ministry of Health and Welfare, Republic of Korea(Grant number: HI13C0847).
abstract
There is a substantial need for biomarkers to distinguish latent stage from active Mycobacterium tuberculosis infections, for predicting disease progression. To induce the reactivation of tuberculosis, we present a new experimental animal model modified based on the previous model established by our group. In the new model, the reactivation of tuberculosis is induced without administration of immunosuppressive agents, which might disturb immune responses. To identify the immunological status of the persistent and chronic stages, we analyzed immunological genes in lung tissues from mice infected withM. tuberculosis. Gene expression was screened using cDNAmicroarray analysis and confirmed by quantitative RT-PCR. Based on the cDNA microarray results, 11 candidate cytokines genes, which were obviously up-regulated during the chronic stage compared with those during the persistent stage, were selected and clustered into three groups: (1) chemokine genes, except those of monocyte chemoattractant proteins (MCPs; CXCL9, CXCL10, CXCL11, CCL5, CCL19); (2) MCP genes (CCL2, CCL7, CCL8, CCL12); and ( 3) TNF and IFN-gamma genes. Results from the cDNA microarray and quantitative RT-PCR analyses revealed that the mRNA expression of the selected cytokine genes was significantly higher in lung tissues of the chronic stage than of the persistent stage. Three chemokines (CCL5, CCL19, and CXCL9) and three MCPs (CCL7, CCL2, and CCL12) were noticeably increased in the chronic stage compared with the persistent stage by cDNA microarray (p < 0.01, except CCL12) or RT-PCR (p < 0.01). Therefore, these six significantly increased cytokines in lung tissue from the mouse tuberculosis model might be candidates for biomarkers to distinguish the two disease stages. This information can be combined with already reported potential biomarkers to construct a network of more efficient tuberculosis markers.
provenance
Made available in Cube on 2018-09-28T16:15:13Z (GMT). No. of bitstreams: 0
language
English
author
Park, Soomin
Baek, Seung-Hun
Cho, Sang-Nae
Jang, Young-Saeng
Kim, Ahreum
Choi, In-Hong
accessioned
2018-09-28T16:15:13Z
available
2018-09-28T16:15:13Z
issued
2017
citation
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY(7)
issn
2235-2988
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/486723.do
Funder
보건복지부
Funding Program
감염병위기대응기술개발(구.면역백신개발)
Project ID
1465015923
Jurisdiction
Rep.of Korea
Project Name
Factors involved in the latent TB infection mouse model and immune responses
rights
openAccess
subject
active tuberculosis
persistent tuberculosis
mouse model
chemokines
lung tissues
cDNA microarrays
type
article


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