Realising respiratory microbiomic meta-analyses: Time for a standardised framework

David Broderick, Robyn Marsh, David Waite, Naveen Pillarisetti, Anne B. Chang, Michael W. Taylor

    Research output: Contribution to journalLetterpeer-review

    3 Citations (Scopus)
    110 Downloads (Pure)

    Abstract

    In microbiome fields of study, meta-analyses have proven to be a valuable tool for identifying the technical drivers of variation among studies and results of investigations in several diseases, such as those of the gut and sinuses. Meta-analyses also represent a powerful and efficient approach to leverage existing scientific data to both reaffirm existing findings and generate new hypotheses within the field. However, there are currently limited data in other fields, such as the paediatric respiratory tract, where extension of original data becomes even more critical due to samples often being difficult to obtain and process for a range of both technical and ethical reasons. Performing such analyses in an evolving field comes with challenges related to data accessibility and heterogeneity. This is particularly the case in paediatric respiratory microbiomics — a field in which best microbiome-related practices are not yet firmly established, clinical heterogeneity abounds and ethical challenges can complicate sharing of patient data. Having recently conducted a large-scale, individual participant data meta-analysis of the paediatric respiratory microbiota (n = 2624 children from 20 studies), we discuss here some of the unique barriers facing these studies and open and invite a dialogue towards future opportunities. [MediaObject not available: see fulltext.]

    Original languageEnglish
    Article number57
    Pages (from-to)1-11
    Number of pages11
    JournalMicrobiome
    Volume11
    Issue number1
    DOIs
    Publication statusPublished - Dec 2023

    Bibliographical note

    Publisher Copyright:
    © 2023, The Author(s).

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