Realising respiratory microbiomic meta-analyses: time for a standardised framework
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 appr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-03-01
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| Series: | Microbiome |
| Online Access: | https://doi.org/10.1186/s40168-023-01499-w |
| _version_ | 1827983359176867840 |
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| author | David Broderick Robyn Marsh David Waite Naveen Pillarisetti Anne B. Chang Michael W. Taylor |
| author_facet | David Broderick Robyn Marsh David Waite Naveen Pillarisetti Anne B. Chang Michael W. Taylor |
| author_sort | David Broderick |
| collection | DOAJ |
| description | 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. Video Abstract |
| first_indexed | 2024-04-09T22:46:14Z |
| format | Article |
| id | doaj.art-c251cab6b9cc47a09a0b0b7c8d922b46 |
| institution | Directory Open Access Journal |
| issn | 2049-2618 |
| language | English |
| last_indexed | 2024-04-09T22:46:14Z |
| publishDate | 2023-03-01 |
| publisher | BMC |
| record_format | Article |
| series | Microbiome |
| spelling | doaj.art-c251cab6b9cc47a09a0b0b7c8d922b462023-03-22T11:50:50ZengBMCMicrobiome2049-26182023-03-0111111010.1186/s40168-023-01499-wRealising respiratory microbiomic meta-analyses: time for a standardised frameworkDavid Broderick0Robyn Marsh1David Waite2Naveen Pillarisetti3Anne B. Chang4Michael W. Taylor5School of Biological Sciences, University of AucklandChild Health Division, Menzies School of Health Research, Charles Darwin UniversitySchool of Biological Sciences, University of AucklandStarship Children’s HospitalChild Health Division, Menzies School of Health Research, Charles Darwin UniversitySchool of Biological Sciences, University of AucklandAbstract 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. Video Abstracthttps://doi.org/10.1186/s40168-023-01499-w |
| spellingShingle | David Broderick Robyn Marsh David Waite Naveen Pillarisetti Anne B. Chang Michael W. Taylor Realising respiratory microbiomic meta-analyses: time for a standardised framework Microbiome |
| title | Realising respiratory microbiomic meta-analyses: time for a standardised framework |
| title_full | Realising respiratory microbiomic meta-analyses: time for a standardised framework |
| title_fullStr | Realising respiratory microbiomic meta-analyses: time for a standardised framework |
| title_full_unstemmed | Realising respiratory microbiomic meta-analyses: time for a standardised framework |
| title_short | Realising respiratory microbiomic meta-analyses: time for a standardised framework |
| title_sort | realising respiratory microbiomic meta analyses time for a standardised framework |
| url | https://doi.org/10.1186/s40168-023-01499-w |
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