Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Cathepsin K Contributes to Cavitation and Collagen Turnover in Pulmonary Tuberculosis

ABSTRACT: Cavitation in tuberculosis (TB) enables highly efficient person-to-person aerosol transmission. Currently, a number of hypotheses exist regarding the mechanisms underlying this process. To explore this process, we undertook an unbiased next-generation transcriptional analysis of samples from cavity walls, grossly normal tissue from the same lung, and uninfected control lungs. Of 17,318 mapped host transcripts, only 199 showed a significant >2-fold change in cavity wall versus normal infected and uninfected samples. Amongst 22 upregulated proteases, 5 type I collagenases were over-represented; these included cathepsin K (CTSK), mast cell chymase-1 (CMA1), matrix metalloproteinase (MMP)-1, MMP-13, and MMP-14. To determine if cavitation was associated with changes in collagen turnover, we assayed serum and urinary markers of collagen metabolism in rabbits with cavitary TB versus infected controls. Serum collagen type 1 C-terminal propeptide (CICP, a marker of collagen synthesis and degradation) and urinary deoxypyridinoline (DPD, a marker of degradation) were increased by 10- (p = 0.019) and 4-fold (p = 0.068), respectively; while urinary helical peptide (a marker of degradation) was decreased 3-fold (p=0.015). This indicates that cavitation in TB is associated with significant increases of both destruction and synthesis of collagen and that cleavage of type I collagen occurs outside the known cleavage sites of MMP-1, -13 and -14. Rabbit gene expression analysis in lung tissue from M. tuberculosis infected animals. Cavitary tissue, non cavitary tissue and lung tissue from non-infected animals are compared.

ORGANISM(S): Oryctolagus cuniculus

SUBMITTER: Christer Larsson

PROVIDER: E-GEOD-68206 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Cathepsin K Contributes to Cavitation and Collagen Turnover in Pulmonary Tuberculosis.

Kubler Andre A Larsson Christer C Luna Brian B Andrade Bruno B BB Amaral Eduardo P EP Urbanowski Michael M Orandle Marlene M Bock Kevin K Ammerman Nicole C NC Cheung Laurene S LS Winglee Kathryn K Halushka Marc M Park Jin Kyun JK Sher Alan A Friedland Jon S JS Elkington Paul T PT Bishai William R WR

The Journal of infectious diseases 20150927 4

Cavitation in tuberculosis enables highly efficient person-to-person aerosol transmission. We performed transcriptomics in the rabbit cavitary tuberculosis model. Among 17 318 transcripts, we identified 22 upregulated proteases. Five type I collagenases were overrepresented: cathepsin K (CTSK), mast cell chymase-1 (CMA1), matrix metalloproteinase 1 (MMP-1), MMP-13, and MMP-14. Studies of collagen turnover markers, specifically, collagen type I C-terminal propeptide (CICP), urinary deoxypyridinol ...[more]

PMID: 26416658

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Project description:Background: Personalized medicine is predicated on the notion that individual biochemical and genomic profiles are relatively constant in times of good health and to some extent predictive of disease or therapeutic response. We report a pilot study quantifying gene expression and methylation profile consistency over time, addressing the reasons for individual uniqueness, and its relation to N=1 phenotypes. Methods: Whole blood samples from 4 African American women, 4 Caucasian women, and 4 Caucasian men drawn from the Atlanta Center for Health Discovery and Well Being study at three successive 6-month intervals were profiled by RNASeq, miRNASeq, and Illumina Methyl-450 arrays. Standard regression approaches were used to evaluate the proportion of variance for each type of omic measure that is among individuals, and to quantify correlations among measures and with clinical attributes related to wellness. Results: Longitudinal omic profiles are in general highly consistent over time, with an average of 67% of the variance in transcript abundance, 42% of CpG methylation level (but 88% for the most differentiated CpG per gene), and 50% of miRNA abundance among individuals, which are all comparable to 74% of the variance among individuals for 74 clinical traits. One third of the variance can be attributed to differential blood cell type abundance, which is also fairly stable over time, and a lesser amount to eQTL effects, whereas seven conserved axes of covariance that capture diverse aspects of immune function explain over half of the variance. These axes also explain a considerable proportion of individually extreme transcript abundance, namely approximately 100 genes that are significantly up- or down-regulated in each person and are in some cases enriched for relevant gene activities that plausibly associate with clinical attributes. A similar fraction of genes have individually divergent methylation levels, but these do not overlap with the transcripts, and fewer than 20% of genes have significantly correlated methylation and gene expression. Conclusions: People express an “omic personality” consisting of peripheral blood transcriptional and epigenetic profiles that are constant over the course of a year and reflect various types of immune activity. Baseline genomic profiles can provide a window into the molecular basis of traits that might be useful for explaining medical conditions or guiding personalized health decisions. Whole blood samples from 12 subjects drawn from the Atlanta Center for Health Discovery and Well Being study at three successive 6-month intervals were profiled by RNASeq, miRNASeq, and Illumina Methyl-450 arrays.

Dataset Information

Cathepsin K Contributes to Cavitation and Collagen Turnover in Pulmonary Tuberculosis

Publications

Cathepsin K Contributes to Cavitation and Collagen Turnover in Pulmonary Tuberculosis.

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