Airway Microbiome and Serum Metabolomics Analysis Identify Differential Candidate Biomarkers in Allergic RhinitisOriginal paper
Karen Pendergrass is a microbiome researcher specializing in microbiome-targeted interventions (MBTIs). She systematically analyzes scientific literature to identify microbial patterns, develop hypotheses, and validate interventions. As the founder of the Microbiome Signatures Database, she bridges microbiome research with clinical practice. In 2012, based on her own investigative research, she became the first documented case of FMT for Celiac Disease, four years before the first published case study.
Read MoreWhat was studied?
Researchers compared the airway microbiome and serum metabolome of 28 allergic rhinitis patients and 15 healthy controls, searching for diagnostic biomarkers.
How was it studied?
Inferior turbinate swabs underwent 16S rDNA V3 V4 sequencing while serum samples were analyzed by metabolomics, then differential microbes and metabolites were cross correlated.
What did they find?
Microbial diversity did not differ, but community structure did. The allergic rhinitis group had significantly higher Actinobacteria and seven genera including Klebsiella, Prevotella and Staphylococcus, and lower Pelomonas. Serum showed 26 altered metabolites, including prostaglandin D2 and linoleic acid, across 16 disrupted pathways such as linoleic acid, arachidonic acid and tryptophan metabolism.
Why it matters
Differential genera, validated by random forest models, and differential metabolites showed correlated patterns, suggesting combined microbiome and metabolomic signatures as candidate diagnostic biomarkers for allergic rhinitis.