Publications by authors named "C M Shannon"
Hospitalized COVID-19 patients exhibit diverse immune responses during acute infection, which are associated with a wide range of clinical outcomes. However, understanding these immune heterogeneities and their links to various clinical complications, especially long COVID, remains a challenge. In this study, we performed unsupervised subtyping of longitudinal multi-omics immunophenotyping in over 1,000 hospitalized patients, identifying two critical subtypes linked to mortality or mechanical ventilation with prolonged hospital stay and three severe subtypes associated with timely acute recovery.
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- * This study used a specialized 166-gene NanoString test on whole blood to find distinct gene expressions for different ILD subtypes, discovering KLRF1 as a key marker differentiating idiopathic pulmonary fibrosis (IPF) from systemic sclerosis-associated ILD (SSc-ILD).
- * Validation studies showed that KLRF1 levels were significantly higher in SSc-ILD compared to IPF and hypersensitivity pneumonitis, suggesting that analyzing blood transcripts can help identify relevant biomarkers
Article Synopsis
- The study aims to identify and validate transcriptomic signatures for various interstitial lung disease (ILD) subtypes, addressing the issue of limited sample sizes and lack of comparative studies between ILD types.
- Using patient-level data from 43 transcriptomics studies, the researchers developed classification models by integrating data from 1459 samples, resulting in robust transcriptomic signatures for conditions like idiopathic pulmonary fibrosis (IPF) and hypersensitivity pneumonitis (HP).
- This work represents the largest meta-analysis of fibrotic ILD transcriptomics, highlighting key gene expression trends that can help differentiate between ILD subtypes and link them to clinical outcomes like lung function deterioration.*
Background: Tuberculosis (TB) continues be the leading cause of death globally due to an infectious agent. There is a paucity of data describing the readability of patient-facing TB information for service users. The aim of this study was to calculate the readability of multiple global TB information sources.
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- Neonatal sepsis is a serious condition with vague symptoms, making early diagnosis challenging; researchers aimed to identify gene expression biomarkers at birth to improve early detection.
- In a study of 720 healthy full-term newborns, they compared gene expression data from those later hospitalized for early-onset sepsis (EOS) and others who remained healthy, identifying significant genetic differences.
- A 4-gene signature (HSPH1, BORA, NCAPG2, PRIM1) was developed, showing high predictive accuracy for EOS at birth, indicating that even healthy-appearing infants may already exhibit signs of future sepsis through gene expression changes.