We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Expression, Microbiome Features Provide Pre-Treatment Lung Function Clues for Pediatric Patients

By LabMedica International staff writers
Posted on 15 Mar 2022
Image: NovaSeq 6000 offers deeper and broader coverage through advanced applications for a comprehensive view of the genome (Photo courtesy of Illumina)
Image: NovaSeq 6000 offers deeper and broader coverage through advanced applications for a comprehensive view of the genome (Photo courtesy of Illumina)

Microbial community and host gene expression features in lung samples may provide pre-treatment clues to risky lung function features in children receiving bone marrow transplants from healthy donor individuals.

Impaired baseline lung function is associated with mortality after pediatric allogeneic hematopoietic cell transplantation (HCT), yet limited knowledge of the molecular pathways that characterize pre-transplant lung function has hindered the development of lung-targeted interventions.

Clinical Scientists at the University of California at San Francisco (San Francisco, CA, USA) and their colleagues used metatranscriptomic RNA sequencing to profile microbiome and host gene expression features in bronchoalveolar lavage samples collected from 104 children in the Netherlands in roughly the week or two leading up to their allogeneic HCT treatments, comparing those patterns with results from matched pulmonary function tests. Sample RNA was combined with control spike-in RNA and underwent reverse transcription, library preparation, and 125-nucleotide paired-end sequencing on a NovaSeq 6000 instrument (Illumina, San Diego, CA, USA) to a target depth of 40 million read pairs per sample.

Among the 54 children showing signs of pulmonary restriction, impaired oxygen diffusion, lung capacity, or other altered pulmonary functions based on Global Lung Index cutoff scores, the team saw an overrepresentation of Staphylococcus and other skin or nasal passage-related microbes, but lower-than-usual levels of commensal microbes that are typically detected in the supraglottic region of the throat.

Depletion of commensal supraglottic taxa, such as Haemophilus, and enrichment of nasal and skin taxa, such as Staphylococcus, in the bronchoalveolar lavage (BAL) microbiome were associated with worse measures of lung capacity and gas diffusion. In addition, BAL gene expression signatures of alveolar epithelial activation, epithelial-mesenchymal transition, and down-regulated immunity were associated with impaired lung capacity and diffusion, suggesting a post-injury profibrotic response. Detection of microbial depletion and abnormal epithelial gene expression in BAL enhanced the prognostic utility of pre-HCT pulmonary function tests for the outcome of post-HCT mortality.

Joseph DeRisi, PhD, a Molecular Biologist and a senior co-author of the study, said, “Impaired baseline lung function is associated with mortality after pediatric allogeneic hematopoietic cell transplantation (HCT), yet limited knowledge of the molecular pathways that characterize pre-transplant lung function has hindered the development of lung-targeted interventions.”

The authors concluded that among children preparing to undergo allogeneic HCT, pulmonary function testing abnormalities were common and consisted mostly of restriction and impaired diffusion. Abnormalities were associated with pulmonary microbiome depletion, profibrotic signaling, and post-HCT mortality. The study was published on March 9, 2022 in the journal Science Translational Medicine.

Related Links:
University of California at San Francisco 
Illumina 

Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
CMV CLIA Diagnostic
CLIA CMV IgA Screen Group
Gold Member
Automatic Hematology Analyzer
CF9600

Channels

Clinical Chemistry

view channel
Image: Elevated creatinine levels do not necessarily indicate impaired kidney function: pre-treatment cystatin C measurement is key to assessment (Image Credit: Data panels adapted from Watanabe H, et al. Clin Pharmacol Ther (2026). All icons were obtained from bioicons.com and modified.)

Cystatin C Testing Helps Distinguish Abemaciclib Effect from Kidney Injury

Kidney function monitoring in breast cancer care often relies on serum creatinine, a routine blood marker used to estimate renal function. However, creatinine increases in patients receiving abemaciclib... Read more

Hematology

view channel
Image: Mayo Clinic researchers used genetic data from nearly 50,000 participants to identify sickle cell and beta-thalassemia carrier traits, highlighting how population-scale testing can complement existing screening (Image Credit: Adobe Stock)

Genetic Testing Offers Opportunities for Earlier Blood Disorder Carrier Identification

Inherited hemoglobin disorders can affect oxygen transport, yet individuals who carry only a trait may remain unaware of their status. People with sickle cell trait or beta-thalassemia trait often have... Read more

Microbiology

view channel
Image: The test uses serum or plasma from patients with suspected acute infection and symptoms lasting fewer than seven days and generates a score indicating the likelihood of bacterial infection. (Image Credit: Shutterstock)

Rapid Host-Response Assay Gains FDA Clearance to Help Distinguish Bacterial and Viral Infections

Bacterial and viral infections often cause similar symptoms, making early differentiation difficult in emergency and urgent care settings. Clinicians may need to begin treatment before traditional diagnostic... Read more

Pathology

view channel
AI: Artificial intelligence; CNN: Convolutional neural networks; ResNet: Residual neural network. (Xing-hua Gao from The First Hospital of China Medical University, China Image Source Link: https://www.ovid.com/jnls/cmj/fulltext/10.1097/cm9.0000000000004154~deep-learning-based-computational-pathology-technologies)

Review Highlights Progress and Validation Needs for AI in Digital Pathology

Pathology remains the gold standard for disease diagnosis, but clinical laboratories face growing demands for faster, more reproducible diagnostic and prognostic workflows. Digital pathology based on whole-slide... Read more

Industry

view channel
Image: The ExaccType ESR1 dPCR Kit uses digital PCR technology to detect key ESR1 mutations associated with acquired resistance to endocrine therapy. (Photo courtesy of  BIOTYPE)

Collaboration Expands Access to Tests for Cancer Treatment Resistance and Toxicity Risk

Precision medicine in oncology relies on molecular testing to identify biomarkers that can help guide treatment decisions. In hormone receptor-positive, HER2-negative metastatic breast cancer, ESR1 mutations... Read more