Monogenic Common Variable Immunodeficiency (Mo‐CVID) Score for Optimizing the Genetic Diagnosis in Pediatric CVID Cohort
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...
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Published in | European journal of immunology Vol. 55; no. 3; pp. e202451433 - n/a |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Germany
Wiley Subscription Services, Inc
01.03.2025
John Wiley and Sons Inc |
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Online Access | Get full text |
ISSN | 0014-2980 1521-4141 1521-4141 |
DOI | 10.1002/eji.202451433 |
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Abstract | 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.
A mutation was identified in 47% of the CVID‐enrolled patients and, in the majority, it was not related to CVID according to the IUIS classification, leading to a diagnostic metamorphosis of this pathological entity. The Mo‐CVID Score could help clinicians prioritize genetic analysis in pediatric CVID patients. The image was created with BioRender.com. |
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AbstractList | 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. 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.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. 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. 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. A mutation was identified in 47% of the CVID‐enrolled patients and, in the majority, it was not related to CVID according to the IUIS classification, leading to a diagnostic metamorphosis of this pathological entity. The Mo‐CVID Score could help clinicians prioritize genetic analysis in pediatric CVID patients. The image was created with BioRender.com. 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. A mutation was identified in 47% of the CVID‐enrolled patients and, in the majority, it was not related to CVID according to the IUIS classification, leading to a diagnostic metamorphosis of this pathological entity. The Mo‐CVID Score could help clinicians prioritize genetic analysis in pediatric CVID patients. The image was created with BioRender.com. |
Author | Boscia, Silvia Quaranta, Francesca Palterer, Boaz Annunziato, Francesco Lodi, Lorenzo Azzari, Chiara Cortimiglia, Martina Calistri, Elisa Maggi, Laura Ricci, Silvia Mazzoni, Alessio Barbati, Federica |
AuthorAffiliation | 7 Laboratory of Clinical Immunology and Microbiology National Institute of Allergy and Infectious Diseases National Institutes of Health Bethesda Maryland USA 3 Department of Health Sciences University of Florence Florence Italy 5 Department of Experimental and Clinical Medicine University of Florence Florence Italy 4 Immunology Unit Meyer Children's Hospital IRCCS Florence Italy 6 Center of Flow Cytometry and Immunotherapy (CDCI) Careggi University Hospital Florence Italy 2 Department of Neurofarba University of Florence Florence Italy 1 Pediatrics and Neonatology Unit Santo Stefano Hospital USL Toscana Centro Prato Italy |
AuthorAffiliation_xml | – name: 1 Pediatrics and Neonatology Unit Santo Stefano Hospital USL Toscana Centro Prato Italy – name: 5 Department of Experimental and Clinical Medicine University of Florence Florence Italy – name: 4 Immunology Unit Meyer Children's Hospital IRCCS Florence Italy – name: 7 Laboratory of Clinical Immunology and Microbiology National Institute of Allergy and Infectious Diseases National Institutes of Health Bethesda Maryland USA – name: 3 Department of Health Sciences University of Florence Florence Italy – name: 6 Center of Flow Cytometry and Immunotherapy (CDCI) Careggi University Hospital Florence Italy – name: 2 Department of Neurofarba University of Florence Florence Italy |
Author_xml | – sequence: 1 givenname: Federica surname: Barbati fullname: Barbati, Federica organization: USL Toscana Centro – sequence: 2 givenname: Lorenzo surname: Lodi fullname: Lodi, Lorenzo email: lorenzo.lodi@unifi.it organization: Meyer Children's Hospital IRCCS – sequence: 3 givenname: Silvia surname: Boscia fullname: Boscia, Silvia organization: Meyer Children's Hospital IRCCS – sequence: 4 givenname: Martina surname: Cortimiglia fullname: Cortimiglia, Martina organization: Meyer Children's Hospital IRCCS – sequence: 5 givenname: Elisa surname: Calistri fullname: Calistri, Elisa organization: University of Florence – sequence: 6 givenname: Francesca surname: Quaranta fullname: Quaranta, Francesca organization: Meyer Children's Hospital IRCCS – sequence: 7 givenname: Laura surname: Maggi fullname: Maggi, Laura organization: University of Florence – sequence: 8 givenname: Alessio surname: Mazzoni fullname: Mazzoni, Alessio organization: Careggi University Hospital – sequence: 9 givenname: Boaz surname: Palterer fullname: Palterer, Boaz organization: National Institutes of Health – sequence: 10 givenname: Francesco orcidid: 0000-0001-8798-7589 surname: Annunziato fullname: Annunziato, Francesco organization: Careggi University Hospital – sequence: 11 givenname: Chiara surname: Azzari fullname: Azzari, Chiara organization: Meyer Children's Hospital IRCCS – sequence: 12 givenname: Silvia surname: Ricci fullname: Ricci, Silvia organization: Meyer Children's Hospital IRCCS |
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Keywords | primary immunodeficiency exome sequencing common variable immunodeficiency children prioritization |
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Common variable immunodeficiency (CVID) represents an “umbrella” diagnosis due to its clinical and immunological heterogeneity. The primary objective... Common variable immunodeficiency (CVID) represents an “umbrella” diagnosis due to its clinical and immunological heterogeneity. The primary objective of this... Common variable immunodeficiency (CVID) represents an "umbrella" diagnosis due to its clinical and immunological heterogeneity. The primary objective of this... |
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SubjectTerms | Adolescent Autoimmune diseases Autoimmunity Child Child, Preschool children Cohort Studies Common variable immunodeficiency Common Variable Immunodeficiency - diagnosis Common Variable Immunodeficiency - genetics Common Variable Immunodeficiency - immunology Diagnosis Exome Sequencing Female Genetic analysis Genetic counseling Genetic diversity Genetic Predisposition to Disease Genetic screening Genetic Testing - methods Humans Immune system Immunodeficiencies and Autoimmunity Immunology Male Mutation Patients Pediatrics primary immunodeficiency prioritization Stat3 protein Whole genome sequencing |
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Title | Monogenic Common Variable Immunodeficiency (Mo‐CVID) Score for Optimizing the Genetic Diagnosis in Pediatric CVID Cohort |
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