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A diagnostic host-specific transcriptome response for Mycoplasma pneumoniae pneumonia to guide pediatric patient treatment

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  • Sandra Viz-Lasheras

    (Universidade de Santiago de Compostela
    15706 Hospital Clínico Universitario de Santiago (SERGAS)
    15706 Hospital Clínico Universitario de Santiago (SERGAS)
    Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES))

  • Alberto Gómez-Carballa

    (Universidade de Santiago de Compostela
    15706 Hospital Clínico Universitario de Santiago (SERGAS)
    15706 Hospital Clínico Universitario de Santiago (SERGAS)
    Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES))

  • Xabier Bello

    (Universidade de Santiago de Compostela
    15706 Hospital Clínico Universitario de Santiago (SERGAS)
    15706 Hospital Clínico Universitario de Santiago (SERGAS)
    Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES))

  • Irene Rivero-Calle

    (15706 Hospital Clínico Universitario de Santiago (SERGAS)
    Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES)
    Santiago de Compostela)

  • Ana Isabel Dacosta

    (15706 Hospital Clínico Universitario de Santiago (SERGAS)
    Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES)
    Santiago de Compostela)

  • Myrsini Kaforou

    (Imperial College London)

  • Dominic Habgood-Coote

    (Imperial College London)

  • Aubrey J. Cunnington

    (Imperial College London)

  • Marieke Emonts

    (Newcastle upon Tyne Hospitals NHS Foundation Trust
    Newcastle University
    NIHR Newcastle Biomedical Research Centre based at Newcastle upon Tyne Hospitals NHS Trust and Newcastle University)

  • Jethro A. Herberg

    (Imperial College London)

  • Victoria J. Wright

    (Imperial College London)

  • Enitan D. Carrol

    (Alder Hey Children’s NHS Foundation Trust
    University of Liverpool)

  • Stephane C. Paulus

    (University of Oxford and the NIHR Oxford Biomedical Research Centre)

  • Werner Zenz

    (Graz)

  • Daniela S. Kohlfürst

    (Graz)

  • Nina Schweintzger

    (Graz)

  • Michiel Flier

    (University Medical Center Utrecht
    Radboud University Medical Center)

  • Ronald Groot

    (Radboud University Medical Center)

  • Luregn J. Schlapbach

    (University of Zürich)

  • Philipp Agyeman

    (University of Bern)

  • Andrew J. Pollard

    (University of Oxford and the NIHR Oxford Biomedical Research Centre)

  • Colin Fink

    (University of Warwick)

  • Taco T. Kuijpers

    (Amsterdam Univiersyt Medical Center (Amsterdam UMC))

  • Suzanne Anderson

    (Medical Research Council Unit at the London School of Hygene & Tropical Medicine)

  • Ulrich Both

    (LMU Munich)

  • Marko Pokorn

    (University of Ljubljana)

  • Dace Zavadska

    (Rīga Stradins University)

  • María Tsolia

    (Kyriakou Children’s Hospital)

  • Henriëtte A. Moll

    (Erasmus MC Sophia Children’s Hospital)

  • Clementien Vermont

    (Erasmus MC Sophia Children’s Hospital)

  • Michael Levin

    (Imperial College London)

  • Federico Martinón-Torres

    (15706 Hospital Clínico Universitario de Santiago (SERGAS)
    Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES)
    Santiago de Compostela)

  • Antonio Salas

    (Universidade de Santiago de Compostela
    15706 Hospital Clínico Universitario de Santiago (SERGAS)
    15706 Hospital Clínico Universitario de Santiago (SERGAS)
    Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBER-ES))

Abstract

Mycoplasma pneumoniae causes atypical pneumonia in children and young adults. Its lack of a cell wall makes it resistant to beta-lactams, which are the first-line treatment for typical pneumonia. Current diagnostic tests are time-consuming and have low specificity, leading clinicians to administer empirical antibiotics. Using a LASSO regression simulation approach and blood microarray data from 107 children with pneumonia (including 30 M. pneumoniae) we identify eight different transcriptomic signatures, ranging from 3-10 transcripts, that differentiate mycoplasma pneumonia from other bacterial/viral pneumonias with high accuracy (AUC: 0.84–0.95). Additionally, we demonstrate that existing signatures for broadly distinguishing viral/bacterial infections and viral/bacterial pneumonias are ineffective in distinguishing M. pneumoniae from viral pneumonia. The new signatures are successfully validated in an independent RNAseq cohort of children with pneumonia, demonstrating their robustness. The high sensibility of these signatures presents a valuable opportunity to guide the treatment and management of M. pneumoniae pneumonia patients.

Suggested Citation

  • Sandra Viz-Lasheras & Alberto Gómez-Carballa & Xabier Bello & Irene Rivero-Calle & Ana Isabel Dacosta & Myrsini Kaforou & Dominic Habgood-Coote & Aubrey J. Cunnington & Marieke Emonts & Jethro A. Herb, 2025. "A diagnostic host-specific transcriptome response for Mycoplasma pneumoniae pneumonia to guide pediatric patient treatment," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-55932-9
    DOI: 10.1038/s41467-025-55932-9
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    References listed on IDEAS

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    1. López-Ratón, Mónica & Rodríguez-Álvarez, María Xosé & Cadarso-Suárez, Carmen & Gude-Sampedro, Francisco, 2014. "OptimalCutpoints: An R Package for Selecting Optimal Cutpoints in Diagnostic Tests," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i08).
    2. Friedman, Jerome H. & Hastie, Trevor & Tibshirani, Rob, 2010. "Regularization Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i01).
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