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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.

Original publication

DOI

10.1038/s41467-025-55932-9

Type

Journal

Nature communications

Publication Date

01/2025

Volume

16

Addresses

Unidade de Xenética, Instituto de Ciencias Forenses, Facultade de Medicina, Universidade de Santiago de Compostela, 15782, Calle San Francisco sn, Galicia, Spain.

Keywords

EUCLIDS, PERFORM, and DIAMONDS consortia, Humans, Mycoplasma pneumoniae, Pneumonia, Mycoplasma, Pneumonia, Viral, Anti-Bacterial Agents, Gene Expression Profiling, Adolescent, Child, Child, Preschool, Infant, Female, Male, Transcriptome