Diagnostic Modalities in Primary Immunodeficiency

Large-scale deep learning analysis to identify adult patients at risk for combined and common variable immunodeficiencies

BACKGROUND

Primary immunodeficiency (PI) is a group of heterogeneous disorders resulting from immune system defects. Over 70% of PI is undiagnosed, leading to increased mortality, co-morbidity and healthcare costs. Among PI disorders, combined immunodeficiencies (CID) are characterized by complex immune defects. Common variable immunodeficiency (CVID) is among the most common types of PI. In light of available treatments, it is critical to identify adult patients at risk for CID and CVID, before the development of serious morbidity and mortality.

METHODS

We developed a deep learning-based method (named "TabMLPNet") to analyze clinical history from nationally representative medical claims from electronic health records (Optum® data, covering all US), evaluated in the setting of identifying CID/CVID in adults. Further, we revealed the most important CID/CVID-associated antecedent phenotype combinations. Four large cohorts were generated: a total of 47,660 PI cases and (1:1 matched) controls.

RESULTS

The sensitivity/specificity of TabMLPNet modeling ranges from 0.82-0.88/0.82-0.85 across cohorts. Distinctive combinations of antecedent phenotypes associated with CID/CVID are identified, consisting of respiratory infections/conditions, genetic anomalies, cardiac defects, autoimmune diseases, blood disorders and malignancies, which can possibly be useful to systematize the identification of CID and CVID.

CONCLUSIONS

We demonstrated an accurate method in terms of CID and CVID detection evaluated on large-scale medical claims data. Our predictive scheme can potentially lead to the development of new clinical insights and expanded guidelines for identification of adult patients at risk for CID and CVID as well as be used to improve patient outcomes on population level.

Chromosomal microarray analysis supplements exome sequencing to diagnose children with suspected inborn errors of immunity

Purpose

Though copy number variants (CNVs) have been suggested to play a significant role in inborn errors of immunity (IEI), the precise nature of this role remains largely unexplored. We sought to determine the diagnostic contribution of CNVs using genome-wide chromosomal microarray analysis (CMA) in children with IEI.

Methods

We performed exome sequencing (ES) and CMA for 332 unrelated pediatric probands referred for evaluation of IEI. The analysis included primary, secondary, and incidental findings.

Results

Of the 332 probands, 134 (40.4%) received molecular diagnoses. Of these, 116/134 (86.6%) were diagnosed by ES alone. An additional 15/134 (11.2%) were diagnosed by CMA alone, including two likely de novo changes. Three (2.2%) participants had diagnostic molecular findings from both ES and CMA, including two compound heterozygotes and one participant with two distinct diagnoses. Half of the participants with CMA contribution to diagnosis had CNVs in at least one non-immune gene, highlighting the clinical complexity of these cases. Overall, CMA contributed to 18/134 diagnoses (13.4%), increasing the overall diagnostic yield by 15.5% beyond ES alone.

Conclusion

Pairing ES and CMA can provide a comprehensive evaluation to clarify the complex factors that contribute to both immune and non-immune phenotypes. Such a combined approach to genetic testing helps untangle complex phenotypes, not only by clarifying the differential diagnosis, but in some cases by identifying multiple diagnoses contributing to the overall clinical presentation.

Fatal X-linked lymphoproliferative disease type 1-associated limbic encephalitis with positive anti-alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor antibody

BACKGROUND

X-linked lymphoproliferative disease type 1 (XLP1) is a rare monogenic immune dysregulation disorder caused by a deficiency of a signaling lymphocyte activation molecule-associated protein (SAP). While many patients with XLP1 present with fatal hemophagocytic lymphohistiocytosis upon Epstein Barr virus (EBV) infection, a small fraction present with limbic encephalitis in the absence of EBV infection. It is poorly understood why SAP deficiency may cause limbic encephalitis in XLP1.

CASE

A 12-year-old boy presented with seizures, changes in personality, memory loss, and cognitive deficits during treatment for interstitial pneumonia. A diagnosis of limbic encephalitis was made. Despite treatment against CD8+ T cell-mediated autoimmunity with intravenous methylprednisolone, dexamethasone, intravenous immunoglobulin, plasma exchange, cyclosporine, weekly etoposide, mycophenolate mofetil, and adalimumab, encephalitis progressed until the patient died after one month of treatment intitiation. Post-mortem genetic testing revealed a de novo SH2D1A truncating mutation. Tests for EBV infection were negative. Initial spinal fluid revealed markedly elevated protein levels, mild pleocytosis, and elevation of two chemokines (C-X-C motif chemokine ligand [CXCL] 10 and CXCL 13). Moreover, initial spinal fluid was tested positive for anti-alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR) autoantibody.

DISCUSSION

In XLP1-associated limbic encephalitis, anti-AMPAR autoantibody production by the dysregulated immune system due to SAP deficiency might be a pathogenic mechanism of central nervous system manifestations. In addition to the standard treatment for XLP1, targeted treatment against B-cell-mediated immunity might be indicated for patients with XLP1-associated limbic encephalitis.