1. Plasma cell-free RNA signatures of inflammatory syndromes in children.
- Author
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Loy CJ, Servellita V, Sotomayor-Gonzalez A, Bliss A, Lenz JS, Belcher E, Suslovic W, Nguyen J, Williams ME, Oseguera M, Gardiner MA, Choi JH, Hsiao HM, Wang H, Kim J, Shimizu C, Tremoulet AH, Delaney M, DeBiasi RL, Rostad CA, Burns JC, Chiu CY, and De Vlaminck I
- Subjects
- Humans, Child, Child, Preschool, Male, Female, Diagnosis, Differential, Infant, Inflammation blood, Bacterial Infections diagnosis, Bacterial Infections blood, Adolescent, Virus Diseases diagnosis, Virus Diseases blood, Virus Diseases genetics, Biomarkers blood, COVID-19 complications, Systemic Inflammatory Response Syndrome diagnosis, Systemic Inflammatory Response Syndrome blood, Machine Learning, Cell-Free Nucleic Acids blood, Cell-Free Nucleic Acids genetics, Mucocutaneous Lymph Node Syndrome diagnosis, Mucocutaneous Lymph Node Syndrome blood, Mucocutaneous Lymph Node Syndrome genetics
- Abstract
Inflammatory syndromes, including those caused by infection, are a major cause of hospital admissions among children and are often misdiagnosed because of a lack of advanced molecular diagnostic tools. In this study, we explored the utility of circulating cell-free RNA (cfRNA) in plasma as an analyte for the differential diagnosis and characterization of pediatric inflammatory syndromes. We profiled cfRNA in 370 plasma samples from pediatric patients with a range of inflammatory conditions, including Kawasaki disease (KD), multisystem inflammatory syndrome in children (MIS-C), viral infections, and bacterial infections. We developed machine learning models based on these cfRNA profiles, which effectively differentiated KD from MIS-C-two conditions presenting with overlapping symptoms-with high performance [test area under the curve = 0.98]. We further extended this methodology into a multiclass machine learning framework that achieved 80% accuracy in distinguishing among KD, MIS-C, viral, and bacterial infections. We further demonstrated that cfRNA profiles can be used to quantify injury to specific tissues and organs, including the liver, heart, endothelium, nervous system, and the upper respiratory tract. Overall, this study identified cfRNA as a versatile analyte for the differential diagnosis and characterization of a wide range of pediatric inflammatory syndromes., Competing Interests: Competing interests statement:C.J.L and I.D.V are inventors on submitted patents pertaining to cell-free nucleic acids (US patent applications 63/237,367 and 63/429,733). I.D.V. is listed as an inventor on submitted patents pertaining to cell-free nucleic acids (US patent applications 63/237,367, 63/056,249, 63/015,095, 16/500,929, 41614P-10551-01-US) and receives consulting fees from Eurofins Viracor. C.A.R. has received institutional support from ModernaTX, Inc., Pfizer Inc., BioFire Inc., GSK plc, MedImmune, Micron Technology Inc., Janssen Pharmaceuticals, Merck & Co., Inc., Novavax, PaxVax, Regeneron, and Sanofi Pasteur. She is co-inventor of patented RSV vaccine technology which has been licensed to Meissa Vaccines, Inc. C.Y.C. receives grant funding for research unrelated to this work from the Bay Area Lyme Disease Foundation, the Chan-Zuckerberg Biohub, and Abbott Laboratories, Inc.
- Published
- 2024
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