Monogenic Common Variable Immunodeficiency (Mo‐CVID) Score for Optimizing the Genetic Diagnosis in Pediatric CVID Cohort

Common variable immunodeficiency (CVID) represents an "umbrella" diagnosis due to its clinical and immunological heterogeneity. The primary objective of this study was to describe a cohort of CVID pediatric subjects from clinical, immunological, and genetic viewpoints. Secondary, we propose a model for prioritizing genetic investigations in these patients. Thirty-four patients with CVID followed at Meyer Children's Hospital, IRCSS, were enrolled. Whole exome sequencing was performed according to the latest International Union of Immunological Societies 2022 update. Genetic variants were identified in 16 patients (47%), including known variants in SLC39A7, PRKCD, STAT3, NFKB1, PIK3R1, PLCG2, RFXANK, PRKDC, TNFRSF13B, and novel variants in SPI1, NFKB1, NFKB2. Comparing the Gene+ and Gene- cohorts, we demonstrated that a monogenic cause is more likely to be found in cases of early disease onset, positive family history, autoimmunity, lymphoproliferation, and specific immunological alterations. Using these criteria, we developed a pediatric monogenic CVID (Mo-CVID) score to hypothesize when a CVID pediatric patient is more likely to carry a genetic mutation. A scoring system such as the Mo-CVID score could help physicians prioritize genetic testing. Genetic analysis in CVID patients can help stratify patients into different disease entities to predict complications and prognosis, ensure appropriate genetic counseling, and personalize treatment.

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Publication Details

Journal
European Journal of Immunology
Published
2025-03-01
DOI
https://doi.org/10.1002/eji.202451433
Citations
4
Primary Topic
Immunodeficiency and Autoimmune Disorders
Type
article
Field-Weighted Citation Impact
3.19
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article

Monogenic Common Variable Immunodeficiency (Mo‐CVID) Score for Optimizing the Genetic Diagnosis in Pediatric CVID Cohort

Lorenzo Lodi, Francesco Annunziato, Laura Maggi, Chiara Azzari et al.
4 citations
European Journal of Immunology
Immunodeficiency and Autoimmune Disorders
3.19
article

Monogenic Common Variable Immunodeficiency (Mo‐CVID) Score for Optimizing the Genetic Diagnosis in Pediatric CVID Cohort

Lorenzo Lodi, Francesco Annunziato, Laura Maggi, Chiara Azzari, Martina Cortimiglia, Federica Barbati, Alessio Mazzoni, Elisa Calistri, Silvia Boscia, Boaz Palterer, Francesca Quaranta, Silvia Ricci
article en
4 citations

Abstract

Common variable immunodeficiency (CVID) represents an "umbrella" diagnosis due to its clinical and immunological heterogeneity. The primary objective of this study was to describe a cohort of CVID pediatric subjects from clinical, immunological, and genetic viewpoints. Secondary, we propose a model for prioritizing genetic investigations in these patients. Thirty-four patients with CVID followed at Meyer Children's Hospital, IRCSS, were enrolled. Whole exome sequencing was performed according to the latest International Union of Immunological Societies 2022 update. Genetic variants were identified in 16 patients (47%), including known variants in SLC39A7, PRKCD, STAT3, NFKB1, PIK3R1, PLCG2, RFXANK, PRKDC, TNFRSF13B, and novel variants in SPI1, NFKB1, NFKB2. Comparing the Gene+ and Gene- cohorts, we demonstrated that a monogenic cause is more likely to be found in cases of early disease onset, positive family history, autoimmunity, lymphoproliferation, and specific immunological alterations. Using these criteria, we developed a pediatric monogenic CVID (Mo-CVID) score to hypothesize when a CVID pediatric patient is more likely to carry a genetic mutation. A scoring system such as the Mo-CVID score could help physicians prioritize genetic testing. Genetic analysis in CVID patients can help stratify patients into different disease entities to predict complications and prognosis, ensure appropriate genetic counseling, and personalize treatment.

European Journal of ImmunologyVol. 55(3)
National Institutes of Health (US), Meyer Children's Hospital (IT), Azienda Ospedaliero-Universitaria Careggi (IT), National Institute of Allergy and Infectious Diseases (US), Azienda Usl Toscana Centro (IT), University of Florence (IT)
Openalex Percentile: Top 9%
Immunodeficiency and Autoimmune Disorders
3.19
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