Identification of a plasma miRNA biomarker signature for allergic asthma

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Identification of a plasma miRNA biomarker signature for allergic asthma : A translational approach. / Milger, K; Götschke, J; Krause, L; Nathan, P; Alessandrini, F; Tufman, A; Fischer, R; Bartel, S; Theis, F J; Behr, J; Dehmel, S; Mueller, N S; Kneidinger, N; Krauss-Etschmann, S.

In: ALLERGY, Vol. 72, No. 12, 12.2017, p. 1962-1971.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

Harvard

Milger, K, Götschke, J, Krause, L, Nathan, P, Alessandrini, F, Tufman, A, Fischer, R, Bartel, S, Theis, FJ, Behr, J, Dehmel, S, Mueller, NS, Kneidinger, N & Krauss-Etschmann, S 2017, 'Identification of a plasma miRNA biomarker signature for allergic asthma: A translational approach', ALLERGY, vol. 72, no. 12, pp. 1962-1971. https://doi.org/10.1111/all.13205

APA

Milger, K., Götschke, J., Krause, L., Nathan, P., Alessandrini, F., Tufman, A., Fischer, R., Bartel, S., Theis, F. J., Behr, J., Dehmel, S., Mueller, N. S., Kneidinger, N., & Krauss-Etschmann, S. (2017). Identification of a plasma miRNA biomarker signature for allergic asthma: A translational approach. ALLERGY, 72(12), 1962-1971. https://doi.org/10.1111/all.13205

Vancouver

Bibtex

@article{0b57aa72ddf4452fbd96dfd516d1be1a,
title = "Identification of a plasma miRNA biomarker signature for allergic asthma: A translational approach",
abstract = "BACKGROUND: Asthma is a heterogeneous chronic disease with different phenotypes and treatment responses. Thus, there is a high clinical need for molecular disease biomarkers to aid in differentiating these distinct phenotypes. As MicroRNAs (miRNAs), that regulate gene expression at the post-transcriptional level, are altered in experimental and human asthma, circulating miRNAs are attractive candidates for the identification of novel biomarkers. This study aimed to identify plasmatic miRNA-based biomarkers of asthma, through a translational approach.METHODS: We prescreened miRNAs in plasma samples from two different murine models of experimental asthma (ovalbumin and house dust mite); miRNAs deregulated in both models were further tested in a human training cohort of 20 asthma patients and 9 healthy controls. Candidate miRNAs were then validated in a second, independent group of 26 asthma patients and 12 healthy controls.RESULTS: Ten miRNA ratios consisting of 13 miRNAs were differentially regulated in both murine models. Measuring these miRNAs in the training cohort identified a biomarker signature consisting of five miRNA ratios (7 miRNAs). This signature showed a good sensitivity and specificity in the test cohort with an area under the receiver operating characteristic curve (AUC) of 0.92. Correlation of miRNA ratios with clinical characteristics further revealed associations with FVC % predicted, and oral corticosteroid or antileukotriene use.CONCLUSION: Distinct plasma miRNAs are differentially regulated both in murine and in human allergic asthma and were associated with clinical characteristics of patients. Thus, we suggest that miRNA levels in plasma might have future potential to subphenotype patients with asthma.",
keywords = "Adult, Aged, Animals, Asthma, Biomarkers, Circulating MicroRNA, Disease Models, Animal, Female, Gene Expression Profiling, Humans, Male, Mice, Middle Aged, ROC Curve, Real-Time Polymerase Chain Reaction, Reproducibility of Results, Transcriptome, Translational Medical Research, Young Adult, Journal Article",
author = "K Milger and J G{\"o}tschke and L Krause and P Nathan and F Alessandrini and A Tufman and R Fischer and S Bartel and Theis, {F J} and J Behr and S Dehmel and Mueller, {N S} and N Kneidinger and S Krauss-Etschmann",
note = "{\textcopyright} 2017 EAACI and John Wiley and Sons A/S. Published by John Wiley and Sons Ltd.",
year = "2017",
month = dec,
doi = "10.1111/all.13205",
language = "English",
volume = "72",
pages = "1962--1971",
journal = "ALLERGY",
issn = "0105-4538",
publisher = "Wiley-Blackwell",
number = "12",

}

RIS

TY - JOUR

T1 - Identification of a plasma miRNA biomarker signature for allergic asthma

T2 - A translational approach

AU - Milger, K

AU - Götschke, J

AU - Krause, L

AU - Nathan, P

AU - Alessandrini, F

AU - Tufman, A

AU - Fischer, R

AU - Bartel, S

AU - Theis, F J

AU - Behr, J

AU - Dehmel, S

AU - Mueller, N S

AU - Kneidinger, N

AU - Krauss-Etschmann, S

N1 - © 2017 EAACI and John Wiley and Sons A/S. Published by John Wiley and Sons Ltd.

PY - 2017/12

Y1 - 2017/12

N2 - BACKGROUND: Asthma is a heterogeneous chronic disease with different phenotypes and treatment responses. Thus, there is a high clinical need for molecular disease biomarkers to aid in differentiating these distinct phenotypes. As MicroRNAs (miRNAs), that regulate gene expression at the post-transcriptional level, are altered in experimental and human asthma, circulating miRNAs are attractive candidates for the identification of novel biomarkers. This study aimed to identify plasmatic miRNA-based biomarkers of asthma, through a translational approach.METHODS: We prescreened miRNAs in plasma samples from two different murine models of experimental asthma (ovalbumin and house dust mite); miRNAs deregulated in both models were further tested in a human training cohort of 20 asthma patients and 9 healthy controls. Candidate miRNAs were then validated in a second, independent group of 26 asthma patients and 12 healthy controls.RESULTS: Ten miRNA ratios consisting of 13 miRNAs were differentially regulated in both murine models. Measuring these miRNAs in the training cohort identified a biomarker signature consisting of five miRNA ratios (7 miRNAs). This signature showed a good sensitivity and specificity in the test cohort with an area under the receiver operating characteristic curve (AUC) of 0.92. Correlation of miRNA ratios with clinical characteristics further revealed associations with FVC % predicted, and oral corticosteroid or antileukotriene use.CONCLUSION: Distinct plasma miRNAs are differentially regulated both in murine and in human allergic asthma and were associated with clinical characteristics of patients. Thus, we suggest that miRNA levels in plasma might have future potential to subphenotype patients with asthma.

AB - BACKGROUND: Asthma is a heterogeneous chronic disease with different phenotypes and treatment responses. Thus, there is a high clinical need for molecular disease biomarkers to aid in differentiating these distinct phenotypes. As MicroRNAs (miRNAs), that regulate gene expression at the post-transcriptional level, are altered in experimental and human asthma, circulating miRNAs are attractive candidates for the identification of novel biomarkers. This study aimed to identify plasmatic miRNA-based biomarkers of asthma, through a translational approach.METHODS: We prescreened miRNAs in plasma samples from two different murine models of experimental asthma (ovalbumin and house dust mite); miRNAs deregulated in both models were further tested in a human training cohort of 20 asthma patients and 9 healthy controls. Candidate miRNAs were then validated in a second, independent group of 26 asthma patients and 12 healthy controls.RESULTS: Ten miRNA ratios consisting of 13 miRNAs were differentially regulated in both murine models. Measuring these miRNAs in the training cohort identified a biomarker signature consisting of five miRNA ratios (7 miRNAs). This signature showed a good sensitivity and specificity in the test cohort with an area under the receiver operating characteristic curve (AUC) of 0.92. Correlation of miRNA ratios with clinical characteristics further revealed associations with FVC % predicted, and oral corticosteroid or antileukotriene use.CONCLUSION: Distinct plasma miRNAs are differentially regulated both in murine and in human allergic asthma and were associated with clinical characteristics of patients. Thus, we suggest that miRNA levels in plasma might have future potential to subphenotype patients with asthma.

KW - Adult

KW - Aged

KW - Animals

KW - Asthma

KW - Biomarkers

KW - Circulating MicroRNA

KW - Disease Models, Animal

KW - Female

KW - Gene Expression Profiling

KW - Humans

KW - Male

KW - Mice

KW - Middle Aged

KW - ROC Curve

KW - Real-Time Polymerase Chain Reaction

KW - Reproducibility of Results

KW - Transcriptome

KW - Translational Medical Research

KW - Young Adult

KW - Journal Article

U2 - 10.1111/all.13205

DO - 10.1111/all.13205

M3 - SCORING: Journal article

C2 - 28513859

VL - 72

SP - 1962

EP - 1971

JO - ALLERGY

JF - ALLERGY

SN - 0105-4538

IS - 12

ER -