Transcriptomic Biomarkers Associated With Microbiological Etiology and Disease Severity in Childhood Pneumonia Article Swipe
Derek J. Williams
,
Shruti Gautam
,
C. Buddy Creech
,
Natalia Jiménez
,
Evan J. Anderson
,
Steven E. Bosinger
,
Tyler Grimes
,
Sandra R. Arnold
,
Jonathan A. McCullers
,
Johannes B. Goll
,
Kathryn M. Edwards
,
Octavio Ramilo
,
Julie Anderson
,
Gayle C. Johnson
,
Shanda Phillips
,
Katherine Sokolow
,
Sandra Yoder
,
Deborah L. Myers
,
Robert Adkisson
,
Seema Jain
,
Krow Ampofo
,
Andrew T. Pavia
,
John Cockcroft
,
Dean J. Kleinhenz
,
Hannah Huston
,
Nadine Rouphael
,
Michele Paine McCullough
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/infdis/jiae491
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/infdis/jiae491
Background Challenges remain in discerning microbiologic etiology and disease severity in childhood pneumonia. Defining host transcriptomic profiles during illness may facilitate improved diagnostic and prognostic approaches. Methods Using whole blood RNA sequencing from 222 hospitalized children with radiographic pneumonia and 45 age-matched controls, we identified differentially expressed (DE) genes that best identified children according to detected microbial pathogens (viral only vs bacterial only and typical vs atypical bacterial [with or without [±] viral co-detection]) and an ordinal measure of phenotypic severity (moderate, severe, very severe). Results Overall, 135 (61%) children had viral-only detections, 15 (7%) had typical bacterial detections (± viral co-detections), and 26 (12%) had atypical bacterial detections (± viral co-detections). Eleven DE genes distinguished between viral-only and bacterial-only detections. Sixteen DE genes distinguished between atypical and typical bacterial detections (± viral co-detections). Nineteen DE genes distinguished between levels of pneumonia severity, including 4 genes also identified in the viral-only versus bacterial-only model (IGHGP, PI3, CD177, RAP1GAP1) and 4 genes from the typical versus atypical bacterial model (PRSS23, IFI27, OLFM4, ABO). Conclusions We identified transcriptomic biomarkers associated with microbial detections and phenotypic severity in children hospitalized with pneumonia. These DE genes are promising candidates for validation and translation into diagnostic and prognostic tools.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/infdis/jiae491
- OA Status
- green
- Cited By
- 3
- References
- 47
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403379343
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4403379343Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/infdis/jiae491Digital Object Identifier
- Title
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Transcriptomic Biomarkers Associated With Microbiological Etiology and Disease Severity in Childhood PneumoniaWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-10-10Full publication date if available
- Authors
-
Derek J. Williams, Shruti Gautam, C. Buddy Creech, Natalia Jiménez, Evan J. Anderson, Steven E. Bosinger, Tyler Grimes, Sandra R. Arnold, Jonathan A. McCullers, Johannes B. Goll, Kathryn M. Edwards, Octavio Ramilo, Julie Anderson, Gayle C. Johnson, Shanda Phillips, Katherine Sokolow, Sandra Yoder, Deborah L. Myers, Robert Adkisson, Seema Jain, Krow Ampofo, Andrew T. Pavia, John Cockcroft, Dean J. Kleinhenz, Hannah Huston, Nadine Rouphael, Michele Paine McCulloughList of authors in order
- Landing page
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https://doi.org/10.1093/infdis/jiae491Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
-
https://www.ncbi.nlm.nih.gov/pmc/articles/11841634Direct OA link when available
- Concepts
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Etiology, Pneumonia, Medicine, Disease, Immunology, Pathology, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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47Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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