Back

Complicated Common Variable Immunodeficiency is Driven by Aberrant IL-10/IL-21 Signaling and Predisposed Polygenic Risk

Khan, H. A.; Acar, U.; Stephens, A. V.; Thauland, T. J.; Butte, M. J.

2022-06-21 allergy and immunology
10.1101/2022.06.20.22276681 medRxiv
Show abstract

BackgroundThe inborn errors of immunity (IEI) that include defective antibody responses are clinically heterogenous, especially the common variable immunodeficiency (CVID) phenotype that includes low immunoglobulin levels and impaired humoral responses to antigens. Beyond recurrent infections, many with the CVID phenotype develop non-infectious complications (NICs), including autoimmunity and lymphoproliferation, that confer a high rate of morbidity and mortality. At present, it is unknown what genetic and functional factors predispose patients to NICs. ObjectiveWe aimed to discover the pathobiology underlying complicated CVID (CVIDc). MethodsIn a heterogenous group of 12 CVIDc patients, we conducted whole exome sequencing and high-throughput signaling assays by multiplexed phospho-mass cytometry. The immune deficiency and dysregulation activity (IDDA) score was used to determine the burden of NICs in individual patients. We integrated polygenic risk scores to determine the role of common background variants in the pathogenesis of CVIDc. ResultsIn CVID patients with high IDDA scores, there was aberrant increased phosphorylation of STAT1 and STAT3 upon stimulation with IL-10 or IL-21. Furthermore, common variants related to high eosinophil count and allergy/eczema confer a higher likelihood of autoimmunity in CVID. ConclusionVariants in loci related to high eosinophil count/function and over-reactive IL-10 signaling are associated with the development of autoimmune disease and NICs in CVID. Clinical implicationsIt may be possible to manage CVIDc through modulating IL-10 and IL-21 signaling pathways. Polygenic risk scoring may predict the development of autoimmune complications in CVID patients.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Journal of Allergy and Clinical Immunology
25 papers in training set
Top 0.1%
8.4%
2
Frontiers in Immunology
586 papers in training set
Top 0.8%
8.4%
3
Genes & Immunity
11 papers in training set
Top 0.1%
6.8%
4
Clinical Immunology
21 papers in training set
Top 0.1%
6.3%
5
Clinical Infectious Diseases
231 papers in training set
Top 0.8%
6.3%
6
Journal of Clinical Investigation
164 papers in training set
Top 0.3%
6.3%
7
JCI Insight
241 papers in training set
Top 0.9%
4.3%
8
The Journal of Infectious Diseases
182 papers in training set
Top 0.9%
3.9%
50% of probability mass above
9
Immunology
29 papers in training set
Top 0.2%
3.6%
10
eBioMedicine
130 papers in training set
Top 0.4%
3.1%
11
The American Journal of Human Genetics
206 papers in training set
Top 2%
2.6%
12
Journal of Medical Virology
137 papers in training set
Top 1%
2.6%
13
Allergy
23 papers in training set
Top 0.2%
2.1%
14
Annals of the Rheumatic Diseases
32 papers in training set
Top 0.4%
1.9%
15
Nature Communications
4913 papers in training set
Top 50%
1.8%
16
PLOS ONE
4510 papers in training set
Top 54%
1.7%
17
Diabetes
53 papers in training set
Top 0.5%
1.3%
18
The Journal of Immunology
146 papers in training set
Top 1%
1.3%
19
The Lancet Rheumatology
11 papers in training set
Top 0.2%
0.9%
20
Cell Reports Medicine
140 papers in training set
Top 6%
0.9%
21
Journal of Clinical Immunology
11 papers in training set
Top 0.1%
0.8%
22
Brain
154 papers in training set
Top 4%
0.8%
23
Science Immunology
81 papers in training set
Top 2%
0.8%
24
Genetics
225 papers in training set
Top 4%
0.7%
25
ImmunoHorizons
21 papers in training set
Top 0.3%
0.7%
26
eLife
5422 papers in training set
Top 60%
0.7%
27
Biology
43 papers in training set
Top 3%
0.7%
28
Molecular Psychiatry
242 papers in training set
Top 4%
0.7%
29
Journal of Experimental Medicine
106 papers in training set
Top 4%
0.6%
30
JAMA Network Open
127 papers in training set
Top 5%
0.6%