The International Network of Special Immunization Services (INSIS) was established to investigate the causes and risk factors of rare adverse events following immunizations (AEFIs) and develop immunization strategies for mitigating or preventing risk for individuals with prior AEFIs or at risk of AEFIs. INSIS integrates clinical data with multi-omic technologies (e.g., transcriptomics, proteomics, metabolomics) through a global consortium of clinical networks, leading immunology, pharmacogenomics teams to uncover the molecular mechanisms behind AEFIs. The network ensures accurate and standardized data collection and analysis through rigorous data management and quality assurance processes. INSIS also implements harmonized case definitions and protocols for collecting data and samples related to rare AEFIs, such as myocarditis, pericarditis, and Vaccine-Induced Immune Thrombocytopenia and Thrombosis (VITT) after COVID-19 vaccinations. This protocol outlines the comprehensive approach to enhance risk-benefit assessments of vaccines across populations, identify actionable biomarkers to inform discovery and development of safe vaccines, and support personalized vaccination strategies.

Diray-Arce, J., Chang, A.c., Moradipoor, S., Amodio, D., Carleton, B., Chang, W.c., et al. (2025). Longitudinal Meta-cohort study protocol using systems biology to identify vaccine safety biomarkers. VACCINE, 62 [10.1016/j.vaccine.2025.127504].

Longitudinal Meta-cohort study protocol using systems biology to identify vaccine safety biomarkers

Amodio D.;Tran H.;Liu P.;Palma P.;
2025-01-01

Abstract

The International Network of Special Immunization Services (INSIS) was established to investigate the causes and risk factors of rare adverse events following immunizations (AEFIs) and develop immunization strategies for mitigating or preventing risk for individuals with prior AEFIs or at risk of AEFIs. INSIS integrates clinical data with multi-omic technologies (e.g., transcriptomics, proteomics, metabolomics) through a global consortium of clinical networks, leading immunology, pharmacogenomics teams to uncover the molecular mechanisms behind AEFIs. The network ensures accurate and standardized data collection and analysis through rigorous data management and quality assurance processes. INSIS also implements harmonized case definitions and protocols for collecting data and samples related to rare AEFIs, such as myocarditis, pericarditis, and Vaccine-Induced Immune Thrombocytopenia and Thrombosis (VITT) after COVID-19 vaccinations. This protocol outlines the comprehensive approach to enhance risk-benefit assessments of vaccines across populations, identify actionable biomarkers to inform discovery and development of safe vaccines, and support personalized vaccination strategies.
2025
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore MED/38
Settore MEDS-20/A - Pediatria generale e specialistica
English
Con Impact Factor ISI
Vaccine safety
AEFI; Adverse event of following immunization; Adversomics; Biomarker discovery; COVID-19 vaccines; INSIS;
Multi-omics; Myocarditis; PF4; Pericarditis; Systems biology; TTS; VITT; Vaccine safety
Diray-Arce, J., Chang, A.c., Moradipoor, S., Amodio, D., Carleton, B., Chang, W.c., et al. (2025). Longitudinal Meta-cohort study protocol using systems biology to identify vaccine safety biomarkers. VACCINE, 62 [10.1016/j.vaccine.2025.127504].
Diray-Arce, J; Chang, Ac; Moradipoor, S; Amodio, D; Carleton, B; Chang, Wc; Crawford, Nw; Karoly, M; Hoch, A; Mcenaney, K; Kafil, Ts; Donthireddy, M; ...espandi
Articolo su rivista
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S0264410X25008011-main.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 3.74 MB
Formato Adobe PDF
3.74 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/445665
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact