Identification of novel clusters of co-expressing cytokines in a diagnostic cytokine multiplex test

• Published in: Frontiers in immunology Vol. 14; p. 1223817
• Main Authors: Polley, Daniel J, Latham, Penny, Choi, May Y, Buhler, Katherine A, Fritzler, Marvin J, Fritzler, Mark L
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 31.07.2023
• Subjects: Adolescent; Adult; Child; Child, Preschool; Cluster Analysis; clustering; cytokine storm; cytokines; Cytokines - blood; Cytokines - metabolism; diagnostic test; Disease; Female; Humans; immune activation; Immunology; Infant; Infant, Newborn; Male; Middle Aged; multiplex assay; Signal Transduction; Young Adult; cytokine storm; inflammation; multiplex assay; immune activation; clustering; cytokines; diagnostic test
• ISSN: 1664-3224; 1664-3224
• DOI: 10.3389/fimmu.2023.1223817

Cytokines are mediators of the immune system that are essential for the maintenance, development and resolution of immune responses. Beneficial immune responses depend on complex, interdependent networks of signaling and regulatory events in which individual cytokines influence the production and release of others. Since disruptions in these signaling networks are associated with a wide spectrum of diseases, cytokines have gained considerable interest as diagnostic, prognostic and precision therapy-relevant biomarkers. However, currently individual cytokines testing has limited value because the wider immune response context is often overlooked. The aim of this study was to identify specific cytokine signaling patterns associated with different diseases. Unbiased clustering analyses were performed on a clinical cytokine multiplex test using a cohort of human plasma specimens drawn from individuals with known or suspected diseases for which cytokine profiling was considered clinically indicated by the attending physician. Seven clusters of co-expressing cytokines were identified, representing common patterns of immune activation. Common expression profiles of the cytokine clusters and preliminary associations of these profiles with specific diseases or disease categories were also identified. These findings increase our understanding of the immune environments underlying the clinical presentations of patients of inflammatory, autoimmune and neoplastic diseases, which could then improve diagnoses and the identification of evidence-based treatment targets.