| Literature DB >> 35095915 |
Aunonna Kabir1, Reza Alizadehfar2, Christos M Tsoukas1,3,4.
Abstract
For seven decades, the pathophysiology of Good's syndrome (GS) has remained a mystery, with few attempts to solve it. Initially described as an association between hypogammaglobulinemia and thymoma, controversy exists whether this is a unique disease, or a subgroup of Common Variable Immune Deficiency (CVID). Recently, some distinguishing aspects of both syndromes have come to light reflecting fundamental differences in their underlying pathophysiology. GS and CVID differ in demographic features and immune phenotype. GS is found almost exclusively in adults and is characterized by a significantly reduced or absence of peripheral B cells. In CVID, which also occurs in children, most patients have normal or slightly reduced peripheral B cells, with a distinguishing feature of low memory B cells. Similarly, differences in T cell dysregulation and manifestations of hematologic cytopenias may further distinguish GS from CVID. Knowledge of the clinical phenotype of this rare adult immune deficiency stems from individual case reports, retrospective, and cross-sectional data on a few cohorts with a limited number of well characterized patients. The understanding of pathophysiology in GS is hampered by the incomplete and inconsistent reporting of clinical and laboratory data, with a limited knowledge of its natural history. In this mini review, we discuss current state of the art data and identify research gaps. In order to resolve controversies and fill in knowledge gaps, we propose a coordinated paradigm shift from incidence reporting to robust investigative studies, addressing mechanisms of disease. We hope this novel approach sets a clear direction to solve the current controversies.Entities:
Keywords: CVID; Good’s syndrome; hypogammaglobulinemia; immune deficiency; thymoma
Mesh:
Substances:
Year: 2022 PMID: 35095915 PMCID: PMC8790113 DOI: 10.3389/fimmu.2021.815710
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561
Key features of GS with contrasts to XLA and CVID.
| CVID | XLA | GS | |
|---|---|---|---|
| Prevalence | 1 per 25,000-1 per 50,000 | 1 per 1,400,000 | 1 per 700,000 |
| ( | ( | ( | |
|
| |||
| Thymoma | − | − | + |
| Hypogammaglobulinemia | + | + | + |
| Presence of peripheral B cells | Normal to moderate for 90% of patients ( | Absent for 100% of patients ( | Significantly reduced or absent for 99% of patients ( |
|
| |||
| Proportion diagnosed in childhood | 20% | 100% | <1% |
| ( | ( | ( | |
| Age range at presentation | 20-40yrs | 0-2yrs | 40-60yrs |
| ( | ( | ( | |
|
| |||
| Invasive bacterial | +++ | +++ | +++ |
| Opportunistic | + | − | ++ |
| Associated clinical conditions | ITP, AIHA, lymphadenopathy, splenomegaly ( | PRCA, myasthenia gravis, lichen planus ( | |
| Frequency of autoimmune complications | ~20–30% | >50% of cases | |
| ( | ( | ||
| Genetic cause identified | Identified in 10% of cases (TACI, BAFF-R, CD40, CTLA) ( | BTK ( | Unknown |
(-/+): absence/ presence of characterstic; (++/+++): increasing frequency.
Existing knowledge gaps regarding Good’s syndrome and proposed solutions.
| Knowledge Gaps regarding GS | Proposed solutions |
|---|---|
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- Reaching consensus on the diagnostic criteria - Incorporation of B cell lymphopenia in the criteria - Validation and use of other biomarkers (e.g.CD247) to rule out other differential diagnosis with other thymoma associated phenotypes ( |
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- Multi-centre longitudinal studies - Case reports detailing clinical events at multiple time points |
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- Increase awareness and patient recruitment at a multinational level - Open access of real time results - Establishment of a dedicated GS database - Establishment of a blood and tissue biobank |
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- Consensus on immunophenotyping - Longitudinal bio-marker sampling, in good health and when symptomatic - Report laboratory ranges for healthy and other immune deficiency controls - Promote the use of functional immune assessments (cytokines, lymphocyte proliferation) |
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- Additional bioinformatics investigations - whole exome sequencing, RNA seq, HLA typing - Screens for autoantibodies and soluble factors that interfere with B cell lymphopoiesis (e.g., limitin) - Additional laboratory investigations-culturing of thymus, bone marrow or peripheral PBMCs |