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A transcriptional signature accurately identifies Aspergillus Infection across healthy and immunosuppressed states.

Publication ,  Journal Article
Steinbrink, JM; Zaas, AK; Betancourt, M; Modliszewski, JL; Corcoran, DL; McClain, MT
Published in: Translational research : the journal of laboratory and clinical medicine
May 2020

Invasive aspergillosis (IA) is a major cause of critical illness in immunocompromised (IC) patients. However, current fungal tests are limited. Disease-specific gene expression patterns in circulating host cells show promise as novel diagnostics, however it is unknown whether such a 'signature' exists for IA and the effect of iatrogenic immunosuppression on any such biomarkers. Male BALB/c mice were separated into 6 experimental groups based on Aspergillus fumigatus inhalational exposure and IC status (no immunosuppression, cyclophosphamide, and corticosteroids). Mice were sacrificed 4 days postinfection. Whole blood was assayed for transcriptomic responses in peripheral white blood cells via microarray. An elastic net regularized logistic regression was employed to develop classifiers of IA based on gene expression. Aspergillus infection triggers a powerful response in non-IC hosts with 2718 genes differentially expressed between IA and controls. We generated a 146-gene classifier able to discriminate between non-IC infected and uninfected mice with an AUC of 1. However, immunosuppressive medications exhibited a confounding effect on this transcriptomic classifier. After controlling for the genomic effects of immunosuppression, we were able to generate a 187-gene classifier with an AUC of 0.92 in the absence of immunosuppression, 1 with cyclophosphamide, and 0.9 with steroids. The host transcriptomic response to IA is robust and conserved. Pharmacologic perturbation of the host immune response has powerful effects on classifier performance and must be considered when developing such novel diagnostics. When appropriately designed, host-derived peripheral blood transcriptomic responses demonstrate the ability to accurately diagnose Aspergillus infection, even in the presence of immunosuppression.

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Published In

Translational research : the journal of laboratory and clinical medicine

DOI

EISSN

1878-1810

ISSN

1931-5244

Publication Date

May 2020

Volume

219

Start / End Page

1 / 12

Related Subject Headings

  • Transcription, Genetic
  • Reproducibility of Results
  • Mice, Inbred BALB C
  • Mice
  • Male
  • Lung
  • Immunocompromised Host
  • Genes, Fungal
  • General Clinical Medicine
  • Colony Count, Microbial
 

Citation

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Chicago
ICMJE
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Steinbrink, J. M., Zaas, A. K., Betancourt, M., Modliszewski, J. L., Corcoran, D. L., & McClain, M. T. (2020). A transcriptional signature accurately identifies Aspergillus Infection across healthy and immunosuppressed states. Translational Research : The Journal of Laboratory and Clinical Medicine, 219, 1–12. https://doi.org/10.1016/j.trsl.2020.02.005
Steinbrink, Julie M., Aimee K. Zaas, Marisol Betancourt, Jennifer L. Modliszewski, David L. Corcoran, and Micah T. McClain. “A transcriptional signature accurately identifies Aspergillus Infection across healthy and immunosuppressed states.Translational Research : The Journal of Laboratory and Clinical Medicine 219 (May 2020): 1–12. https://doi.org/10.1016/j.trsl.2020.02.005.
Steinbrink JM, Zaas AK, Betancourt M, Modliszewski JL, Corcoran DL, McClain MT. A transcriptional signature accurately identifies Aspergillus Infection across healthy and immunosuppressed states. Translational research : the journal of laboratory and clinical medicine. 2020 May;219:1–12.
Steinbrink, Julie M., et al. “A transcriptional signature accurately identifies Aspergillus Infection across healthy and immunosuppressed states.Translational Research : The Journal of Laboratory and Clinical Medicine, vol. 219, May 2020, pp. 1–12. Epmc, doi:10.1016/j.trsl.2020.02.005.
Steinbrink JM, Zaas AK, Betancourt M, Modliszewski JL, Corcoran DL, McClain MT. A transcriptional signature accurately identifies Aspergillus Infection across healthy and immunosuppressed states. Translational research : the journal of laboratory and clinical medicine. 2020 May;219:1–12.
Journal cover image

Published In

Translational research : the journal of laboratory and clinical medicine

DOI

EISSN

1878-1810

ISSN

1931-5244

Publication Date

May 2020

Volume

219

Start / End Page

1 / 12

Related Subject Headings

  • Transcription, Genetic
  • Reproducibility of Results
  • Mice, Inbred BALB C
  • Mice
  • Male
  • Lung
  • Immunocompromised Host
  • Genes, Fungal
  • General Clinical Medicine
  • Colony Count, Microbial