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. Author manuscript; available in PMC: 2021 Apr 1.
Published in final edited form as: Hum Mutat. 2020 Jan 14;41(4):837–849. doi: 10.1002/humu.23975

Genetic and phenotypic spectrum associated with IFIH1 gain-of-function

Gillian I Rice 1, Sehoon Park 2,3, Francesco Gavazzi 4, Laura A Adang 4, Loveline A Ayuk 5, Lien Van Eyck 6, Luis Seabra 6, Christophe Barrea 7, Roberta Battini 8,9, Alexandre Belot 10,11, Stefan Berg 12, Thierry Billette de Villemeur 13, Annette E Bley 14, Lubov Blumkin 15,16, Odile Boespflug-Tanguy 17,18, Tracy A Briggs 1,19, Elise Brimble 20, Russell C Dale 21, Niklas Darin 22,23, François-Guillaume Debray 24, Valentina De Giorgis 25, Jonas Denecke 14, Diane Doummar 26, Gunilla Drake af Hagelsrum 27, Despina Eleftheriou 28, Margherita Estienne 29, Elisa Fazzi 30,31, François Feillet 32, Jessica Galli 30,31, Nicholas Hartog 33, Julie Harvengt 34, Bénédicte Heron 35, Delphine Heron 36, Diedre A Kelly 37, Dorit Lev 16,38, Virginie Levrat 39, John H Livingston 40, Itxaso Marti 41, Cyril Mignot 42, Fanny Mochel 43, Marie-Christine Nougues 44, Ilena Oppermann 14, Belén Pérez-Dueñas 45, Bernt Popp 46, Mathieu P Rodero 6, Diana Rodriguez 47,48, Veronica Saletti 49, Cia Sharpe 50, Davide Tonduti 51, Gayatri Vadlamani 40, Keith Van Haren 20, Miguel Tomas Vila 52, Julie Vogt 53, Evangeline Wassmer 54, Arnaud Wiedemann 32, Callum J Wilson 55, Ayelet Zerem 15,16, Christiane Zweier 46, Sameer M Zuberi 56,57, Simona Orcesi 25,58, Adeline L Vanderver 4, Sun Hur 2,3, Yanick J Crow 6,59,60
PMCID: PMC7457149  NIHMSID: NIHMS1618607  PMID: 31898846

Abstract

IFIH1 gain-of-function has been reported as a cause of a type I interferonopathy encompassing a spectrum of autoinflammatory phenotypes including Aicardi–Goutières syndrome and Singleton Merten syndrome. Ascertaining patients through a European and North American collaboration, we set out to describe the molecular, clinical and interferon status of a cohort of individuals with pathogenic heterozygous mutations in IFIH1. We identified 74 individuals from 51 families segregating a total of 27 likely pathogenic mutations in IFIH1. Ten adult individuals, 13.5% of all mutation carriers, were clinically asymptomatic (with seven of these aged over 50 years). All mutations were associated with enhanced type I interferon signaling, including six variants (22%) which were predicted as benign according to multiple in silico pathogenicity programs. The identified mutations cluster close to the ATP binding region of the protein. These data confirm variable expression and nonpenetrance as important characteristics of the IFIH1 genotype, a consistent association with enhanced type I interferon signaling, and a common mutational mechanism involving increased RNA binding affinity or decreased efficiency of ATP hydrolysis and filament disassembly rate.

Keywords: Aicardi–Goutières syndrome, IFIH1, MDA5, Singleton Merten syndrome, Type I interferonopathy

1 ∣. INTRODUCTION

In 2014, heterozygous gain-of-function mutations in IFIH1 were reported to cause a spectrum of neuroimmune phenotypes including classical Aicardi–Goutières syndrome (AGS; Oda et al., 2014; Rice et al., 2014). IFIH1 encodes interferon-induced helicase C domain-containing protein 1 (IFHI1; also known as melanoma differentiation associated gene 5 protein: MDA5) which senses viral double-stranded (ds) RNA in the cytosol, leading to the induction of a type I interferon-mediated antiviral response. Consequent to Mendelian determined gain-of-function, it is suggested that IFIH1 inappropriately senses self-derived nucleic acid as viral, leading to an autoinflammatory state classified as a type I interferonopathy (Ahmad et al., 2018; Crow & Manel, 2015). In 2015, a p.Arg822Gln substitution in IFIH1 was shown to cause Singleton Merten syndrome (SMS), an autosomal dominant trait variably characterized by a deforming arthropathy, abnormal tooth development and cardiac valve calcification, again in association with enhanced type I interferon signaling (Rutsch et al., 2015). Although it was initially considered that SMS was a distinct, mutation-specific disorder, subsequent reports indicate that SMS and the neuroinflammatory phenotypes seen in the context of IFIH1 gain-of-function constitute part of the same disease spectrum (Buers, Rice, Crow, & Rutsch, 2017; Bursztejn et al., 2015).

Type I interferonopathy associated IFIH1 mutations are either absent from control databases, or only present at very low frequency. However, we have noted previously that in silico algorithms are not always reliable in differentiating IFIH1 disease-causing variants from benign polymorphisms (Ruaud et al., 2018). Such difficulty in assigning molecular pathogenicity is compounded by marked variability in disease expression, sometimes even within the same family, and the observation of complete non-penetrance in certain pedigrees (Rice et al., 2014). Given this background, we considered it important to provide an update of our experience of sequencing individuals for pathogenic IFIH1 mutations associated with a type I interferonopathy state. In total, we describe molecular and clinical data relating to 74 individuals from 51 families, identifying 27 likely pathogenic mutations that cluster close to the ATP binding region of the protein. Our data confirm variable expression and nonpenetrance as important characteristics of these mutant genotypes, and the consistent association with enhanced type I interferon signaling as assessed by interferon-stimulated gene (ISG) expression, referred to as the interferon score.

2 ∣. MATERIALS AND METHODS

2.1 ∣. Subjects

Patients were ascertained through direct contact and/or collaborating physicians across clinical research laboratories in the UK and France (Crow), the USA (Vanderver), and Italy (Orcesi). The study was approved by the Leeds (East) Research Ethics Committee (10/H1307/132), the Comite de Protection des Personnes (ID-RCB/EUDRACT: 2014-A01017-40), IRB study protocol (Myelin Disorders Bioregistry Project: IRB# 14-011236) and the local ethics committee of the IRCCS Mondino Foundation, Pavia, Italy (3549/2009 of 30/9/2009 and 11/12/2009; n.20170035275 of 23/10/2017). Amino acid substitutions were considered as pathogenic mutations when they were seen in the context of a neuroimmune/autoinflammatory state (including AGS, a spastic-dystonic syndrome, nonsyndromic spastic paraparesis or SMS), and when two or more of the following applied: observation of the same variant in an unrelated family; de novo occurrence; documented increase in ISG expression; in vitro data consistent with IFIH1 gain-of-function.

2.2 ∣. Mutational analysis

Mutations were identified on a variety of next-generation sequencing platforms. Where Sanger sequencing was undertaken, primers were designed to amplify the coding exons of IFH1, with mutation annotation based on the reference cDNA sequence NM_022168.2. Variants were assessed using the in silico programs SIFT (http://sift.jcvi.org), Polyphen2 (http://genetics.bwh.harvard.edu/pph2/), and CADD (https://cadd.gs.washington.edu), summarized in VarCards (http://varcards.biols.ac.cn/). Population allele frequencies were obtained from the gnomAD database (http://gnomad.broadinstitute.org).

2.3 ∣. Protein modeling

Molecular graphics figures were generated with PyMOL (Schrödinger) using the PDB coordinates (4GL2).

2.4 ∣. Interferon score

Interferon scores were calculated on the basis of the expression of ISGs according to previously published protocols. In brief, this involved either a quantitative reverse transcription-polymerase chain reaction (qPCR) analysis using TaqMan probes (Crow laboratory: Rice et al., 2013), or testing on a Nanostring platform (Vanderver laboratory: Adang et al., 2018+). In the former, the relative abundance of IFI27 (Hs01086370_m1), IFI44L (Hs00199115_m1), IFIT1 (Hs00356631_g1), ISG15 (Hs00192713_m1), RSAD2 (Hs01057264_m1), and SIGLEC1 (Hs00988063_m1) transcripts was normalized to the expression levels of HPRT1 (Hs03929096_g1) and 18S (Hs999999001_s1). The median fold change of the six genes, compared to the median of 29 previously collected healthy controls, was then used to create an interferon score for each individual, with an abnormal interferon score being defined as greater than +2 standard deviations above the mean of the control group that is 2.466. Alternatively, the copy number of mRNA transcripts of the six ISGs listed above, and four housekeeping genes (ALAS1, HPRT1, TBP, and TUBB), was quantified using a Nanostring nCounter™ Digital Analyzer. The raw copy number of mRNA transcripts of each ISG was standardized using the geometric mean of the four housekeeping genes for each individual, and the six-gene interferon signature for each individual calculated using the median of the Z scores, with the result considered positive if ≥1.96 (>98th centile; one tail analysis).

2.5 ∣. Interferon reporter assay

The pFLAG-CMV4 plasmid encoding IFIH1 has been described elsewhere (Rice et al., 2014). Indicated mutations were introduced using Phusion HiFi DNA polymerase. HEK 293T cells (ATCC) were maintained in 48-well plates in DMEM (Cellgro) supplemented with 10% fetal bovine serum and 1% L-glutamine. At 80% confluence, cells were cotransfected with pFLAGCMV4 plasmids encoding wild-type or mutant IFIH1 (5 ng, unless indicated otherwise), interferon β (IFNb) promoter-driven firefly luciferase reporter plasmid (100 ng), and a constitutively expressed Renilla luciferase reporter plasmid (pRL-TK, 10 ng), by using Lipofectamine 2000 (Life Technologies) according to the manufacturer’s protocol. The medium was changed 6 hr after transfection, and cells were subsequently incubated for 18 hr with or without stimulation with poly(I-C) (500 ng; InvivoGen) using Lipofectamine 2000. Cells were lysed with Passive Lysis Buffer (Promega), and IFNb promoter activity was measured using a Dual-Luciferase Reporter Assay (Promega) and a Synergy 2 plate reader (BioTek). Firefly luciferase activity was normalized to Renilla luciferase activity Each experiment was performed in triplicate and data are presented as mean ± standard mean of error. Statistical significance was determined by two-tailed, unpaired Student’s t-test with *, **, and *** indicating p values <.05, <.01, and <.001, respectively. Expression levels of individual constructs were tested by western blot analysis.

3 ∣. RESULTS

3.1 ∣. Molecular data

We collected data on 74 individuals from 51 families, identifying 27 distinct mutations in total (Figure 1; Table 1). Fourteen mutations were recorded in a single proband, seven in more than one individual belonging to a single-family, and six in more than one family. Of these six recurrent mutations, the p.Arg720Gln, p.Arg779Cys, and p.Arg779His substitutions were observed most frequently (6, 8, and 10 times, respectively). Twenty-two mutations were recorded to have occurred de novo in at least one individual, whilst four mutations were only ascertained in familial cases demonstrating autosomal dominant transmission (two mutations, p.Ala489Thr and p.Gly495Arg, were transmitted from a father in whom the mutation arose de novo). Three mutations, p.Thr331Arg, p.Arg779Cys, and p.Arg779His, was documented to have occurred both de novo, in association with severe, AGS-like, neurological disease, and in families with transmission across two or more generations.

FIGURE 1.

FIGURE 1

Schematic showing the positions of protein domains and their amino acid boundaries within the 1,025-residue IFIH1 protein. The 27 mutations ascertained in the present study are annotated, with the numbers in brackets indicating the number of families in which each mutation was observed. Three previously published mutations (p.Leu372Phe; p.Ala452Thr; p.Glu813Asp), not ascertained in our series, are also denoted (below the cartoon). CARD, caspase activation recruitment domain; Hel, helicase domain, where Hel1 and Hel2 are the two conserved core helicase domains and Hel2i is an insertion domain that is conserved in the RIG-I-like helicase family; P, pincer or bridge region connecting Hel2 to the C-terminal domain (CTD) involved in binding double stranded RNA

TABLE 1.

Details of individual IFIH1 mutations identified in the families included in the present data set

cDNA change Protein change Families (de novo inheritance; or,
number of symptomatic and non-
penetrant individuals where
familial)
Associated
phenotypes (‘/’ within
family)(‘;’ between
families)
Upregulation of
interferon
signalling
Assessment by
interferon
reporter assay
gnomAD SIFT Polyphen2 CADD
score
Var-
cards
c.992C>G p.Thr331Arg AGS674 (de novo); AGS1972 (2;0) AGS-SMS; SMS Yes Yes (de Carvalho et al., 2017) Novel Deleterious 0 Probably damaging 1.000 29.7 22:23
c.992C>T p.Thr331Ile AGS1938 (3;0) SMS Yes Yes (de Carvalho et al., 2017) Novel Deleterious 0 Probably damaging 1.000 31 22:23
c.1009A>G p.Arg337Gly AGS237 (de novo) NR Yes Yes (Rice et al., 2014) Novel Tolerated 0.12 Probably damaging 1.000 26.8 17:23
c.1165G>A p.Gly389Arg AGS848 (2;1) AGS/SP/CNP Yes Yes (this paper) Novel Tolerated 0.88 Benign 0.108 5.325 01:23
c.1178A>T p.Asp393Val AGS626 (de novo) NR Yes Yes (Rice et al., 2014) Novel Deleterious 0.01 Probably damaging 0.998 28.6 16:23
c.1178A>C p.Asp393Ala AGS2586 (de novo) AGS Yes No Novel Deleterious 0.03 Possibly damaging 0.913 24.8 12:23
c.1331A>G p.Glu444Gly AGS2669 (de novo) AGS Yes Yes (this paper) Novel Deleterious 0 Probably damaging 1 31 23.23
c.1347C>G p.Asn449Lys AGS1001 (de novo) SP Yes Yes (this paper) Novel Tolerated 0.64 Benign 0.163 13.91 03:23
c.1465G>A p.Ala489Thr AGS755 (3;0)a CLL/AGS-SMS/SMS Yes Yes (Bursztejn et al., 2015) Novel Deleterious 0 Probably damaging 1.000 32 21:23
c.1483G>A p.Gly495Arg AGS524 (2;0)a SP-LLD/SP Yes Yes (Rice et al., 2014) Novel Deleterious 0.01 Probably damaging 0.982 23.3 14:23
c.1747A>G p.Ile583Val AGS2369 (de novo) AGS Yes Yes (this paper) Novel Tolerated 0.48 Benign 0.00 0.573 5.23
c.2156C>T p.Ala719Val Hm_1 (de novo) AGS Yes No Novel Tolerated 0.07 Possibly damaging 0.949 27.1 09:23
c.2159G>A p.Arg720Gln AGS102 (de novo); AGS647 (de novo); AGS1504 (de novo); AGS2422 (NPDT); AGS2548 (de novo); LD_0982.0 (de novo) AGS; SP Yes Yes (Rice et al., 2014) Novel Deleterious 0 Probably damaging 0.992 34 17:23
c.2317G>C p.Glu773Gln AGS2399 (de novo) NR NA Yes (this paper) Novel Tolerated 0.27 Possibly damaging 0.743 24.8 13:23
c.2335C>T p.Arg779Cys AGS376 (NPDT); AGS723 (NPDT);
AGS1004 (de novo); AGS1156 (de novo); AGS2154 (1;1); AGS2180 (de novo); AGS2507 (de novo); LD_1030.0 (de novo)
AGS-LLD; SP-ICC;
NR; unilateral white matter disease/CNP; AGS
Yes Yes (Rice et al., 2014) Novel Deleterious 0.01 Probably damaging 1.000 34 21:23
c.2336G>A p.Arg779His AGS163 (de novo); AGS259 (3;2); AGS1351 (de novo); AGS1509 (de novo); AGS2177 (1;2); Berg_1 (de novo); Orc_0098 (de novo); LD_1199.0 (de novo); LD_1381 (3;1); LD_1585.0 (de novo) AGS; CNP; NR; SP Yes Yes (Rice et al., 2014) 1/244230 Tolerated 0.05 Probably damaging 0.994 28.9 19:23
c.2336G>T p.Arg779Leu LD_1067.0 (de novo) AGS Yes No Novel Tolerated 0.06 Probably damaging 1.000 35 21:23
c.2342G>A p.Gly781Glu LD_0940.0 (de novo); LD_0943.0 (de novo) NR; SP Yes No Novel Deleterious 0 Probably damaging 1.000 32 19:23
c.2404A>G p.Asn802Asp AGS2662 (de novo) NR Yes No Novel Tolerated 0.22 Probably damaging 1.000 28.1 18:23
c.2407A>T p.Ile803Phe LD_1488.0 (de novo) AGS Yes Yes (this paper) Novel Tolerated 0.24 Benign 0.043 11.8 04:23
c.2465G>A p.Arg822Gln AGS1514 (de novo) SD-ICC Yes Yes (Rutsch et al., 2015) 6/244096 Deleterious 0 Probably damaging 1.000 35 23:23
c.2471G>A p.Arg824Lys AGS735 (de novo); AGS2222 (de novo) NR; Isolated liver disease Yes No Novel Deleterious 0 Probably damaging 1.000 34 22:23
c.2486C>G p.Thr829Ser AGS1290 (2 siblings and NPDT) AGS Yes No Novel Tolerated 0.73 Possibly damaging 0.512 16.61 12:23
c.2544T>G p.Asp848Glu AGS531 (3;2) SP-ICC/CNP Yes Yes (Ruaud et al., 2018) Novel Tolerated 0.4 Benign 0.004 10.08 02:23
c.2561T>A p.Met854Lys AGS2081 (de novo) AGS/SMS Yes No Novel Deleterious 0 Probably damaging 1.000 31 18:23
c.2866A>G p.Ile956Val AGS1430 (2;1) SP-ICC/CNP Yes Yes (this paper) Novel Tolerated 0.77 Benign 0.004 3.576 06:23
c.2936T>G p.Leu979Trp LD_1346.0 (de novo) AGS Yes Yes (this paper) Novel Deleterious 0.01 Probably damaging 1.000 26.6 16:23

Note: IFIH1 mutation annotation based on the reference complementary DNA sequence NM_022168.2.

Abbreviations: AGS, Aicardi–Goutières syndrome; CLL, Chilblain-like lesions; CNP, clinical nonpenetrance; ICC, Intracranial calcification; LLD, Lupus-like disease; NPDT, no parental DNA testing; NR, neuro-regression; SD, spastic dystonia; SP, spastic paraparesis; SMS, Singleton Merten syndrome.

a

This mutation was shown to have been paternally inherited by the proband and to have occurred de novo in the proband’s father.

For six putative mutations (p.Gly389Arg; p.Asn449Lys; p.Ile583Val; p.Ile803Phe; p.Asp848Glu; p.Ile956Val), in silico predictions using both SIFT and Poyphen2 suggested that the substitutions were benign, with relatively poor evolutionary conservation (Figure S1). However, all of these variants were novel (i.e., not recorded in gnomAD), and assays of interferon signaling (ISG expression and in vitro testing) indicate that they represent pathogenic mutations conferring gain-of-function (Table S1; Figure S2). Of note, four of these variants were seen in the context of a spastic paraparesis phenotype with no or minimal cognitive impairment. Clinical nonpenetrance was observed in three of these families (the other three variants arising in the proband de novo).

3.2 ∣. Clinical phenotype

Consistent with previous data, we observed a spectrum of phenotypes in our cohort, encompassing classical AGS, less easily defined rapid neuroregression, a spastic-dystonic syndrome, spastic paraparesis, SMS, and clinical nonpenetrance (Figure 2; Table 2; Table S2). A single individual, AGS2222, experienced neonatal hepatitis and then developed chronic fibrotic liver disease in the absence of any other clinical features (note that this same variant was seen in another proband, AGS735, presenting with neuroregression at age 1 year). Unequivocal episodes of rapid neuroregression were noted in at least 20 patients, in seven of whom an acute loss of skills occurred after the age of 1 year on a background of completely normal development. Recognition/onset of symptoms was frequently later in patients with a spastic paraparesis phenotype, with one patient experiencing the development of lower limb spasticity beginning at 13 years of age (AGS531_P4). Six symptomatic patients were recorded to have died. Five of these individuals demonstrated a severe AGS phenotype with features obvious at, or soon after, birth that is indicating prenatal onset. One further deceased patient presented with neuroregression at age 15 months, and died suddenly of a cardiorespiratory arrest at 16 years of age, with pulmonary hypertension documented on postmortem examination. Ten individuals were reported as asymptomatic mutation carriers, across five mutations (p.Gly389Arg, p.Arg779Cys, p.Arg779His p.Asp848Glu, and p.Ile956Val), with seven aged over 50 years.

FIGURE 2.

FIGURE 2

Overview of phenotypes observed in the IFIH1-mutation-positive cohort. Classification of 68 of 74 individuals according to phenotype. For clarity, six individuals displaying characteristics difficult to classify were omitted from this analysis

TABLE 2.

Molecular and clinical data by family

Family Individual Sex cDNA Protein Inheritance (number of
mutation-positive
individuals)
Previously
reported (reference)
Clinical phenotype Status at last contact
(age in years)
AGS102 P1 M c.2159G>A p.Arg720Gln De novo Rice et al. (2014) AGS Deceased (2)
AGS163 P1 M c.2336G>A p.Arg779His De novo Rice et al. (2014) AGS Alive (13)
AGS237 (LD_0762) P1 M c.1009A>G p.Arg337Gly De novo Rice et al. 2014; Adang et al., 2018 Neuroregression and SD starting at age 15 months Deceased (16)
AGS259 P1 M c.2336G>A p.Arg779His Familial (3) Rice et al. (2014) AGS Alive (13)
P2 (father of P1) M Clinically nonpenetrant Alive (54)
P3 (mother of P2) F Clinically nonpenetrant Deceased (84)
AGS376 P1 M c.2335C>T p.Arg779Cys No parental testing Rice et al. (2014) AGS with LLD Deceased (3)
AGS524 P1 F c.1483G>A p.Gly495Arg Familial (2)(shown to have occurred de novo in P2) Rice et al. (2014); Hacohen et al. 2015; Crow et al. 2015; McLellan et al. 2018 SP with LLD and AQP4 + TM Alive (10)
P2 (father of P1) M Pure SP Alive (39)
AGS531 P1 F c.2544T>G p.Asp848Glu Familial (5) Ruaud et al. (2018) SP with ICC Alive (13)
P2 (brother of P1) M Clinically nonpenetrant Alive (13)
P3 (father of P1 and P2) M SP with ICC Alive (40)
P4 (brother of P3) M SP with ICC Alive (38)
P5 (father of P3 and P4) M Clinically non-penetrant Alive (66)
AGS626 P1 M c.1178A>T p.Asp393Val De novo Rice et al. (2014) Neuroregression and SD starting at 13 months Alive (13)
AGS647 P1 M c.2159G>A p.Arg720Gln De novo Rice et al. (2014) AGS Alive (2)
AGS674 P1 M c.992C>G p.Thr331Arg De novo Unreported SP-SMS overlap Alive (14)
AGS723 P1 F c.2335C>T p.Arg779Cys Mother negative; no paternal DNA Unreported SP with ICC Alive (19)
AGS735 P1 M c.2471G>A p.Arg824Lys De novo Galli et al. 2018 Neuroregression and SD starting at 12 months Alive (19)
AGS755 P1 M c.1465G>A p.Ala489Thr Familial (3) Bursztejn et al. (2015) CLL Alive (4)
P2 (brother of P1) M AGS-SMS overlap Alive (3)
P3 (father of P1 and P2) M SMS-like Alive (41)
AGS848 P1 M c.1165G>A p.Gly389Arg Familial (3) Unreported AGS Alive (8)
P2 (father of P1) M SP Alive (42)
P3 (maternal grandmother of P2) F Clinically nonpenetrant Alive (84)
AGS1001 P1 M c.1347C>G p.Asn449Lys De novo Unreported SP Alive (19)
AGS1004 P1 F c.2335C>T p.Arg779Cys De novo Unreported AGS (neuroregression with onset at age 8 months) Alive (8)
AGS1156 P1 M c.2335C>T p.Arg779Cys De novo Kothur et al. 2018 AGS (neuroregression with onset at age 8 months) Alive (5)
AGS1290 P1 M c.2486C>G p.Thr829Ser 2 affected (no parental DNA) Unreported AGS Alive (6)
P2 (brother of P1) M AGS Alive (4)
AGS1351 P1 F c.2336G>A p.Arg779His De novo Unreported AGS Deceased (2)
AGS1430 P1 M c.2866A>G p.Ile956Val Familial (3) Unreported SP with ICC with onset at age 6 years Alive (14)
P2 (father of P1) M SP with onset at age 2 years Alive (50)
P3 (father of P2) M Clinically non-penetrant Alive (72)
AGS1504 (LD_1175) P1 F c.2159G>A p.Arg720Gln De novo Unreported AGS Alive (10)
AGS1509 P1 M c.2336G>A p.Arg779His De novo Unreported AGS Alive (8)
AGS1514 P1 M c.2465G>A p.Arg822Gln De novo Buers et al. (2017) SD with ICC Alive (6)
AGS1938 P1 F c.992C>T p.Thr331Ile Familial (3) de Carvalho et al. (2017) SMS Alive (18)
P2 (mother of P1) F SMS Alive (45)
P3 (sister of P2) F SMS Alive (27)
AGS1972 P1 F c.992C>G p.Thr331Arg Familial (2) de Carvalho et al. (2017) SMS Alive (9)
P2 (father of P1) M SMS Alive (47)
AGS2081 P1 M c.2561T>A p.Met854Lys De novo Unreported SP-SMS overlap Alive (12)
AGS2154 (LD_1240) P1 M c.2335C>T p.Arg779Cys Familial (2) Unreported Unilateral white matter disease with normal development Alive (13)
P2 (mother of P1) F Clinically nonpenetrant Alive (40)
AGS2177 P1 M c.2336G>A p.Arg779His Familial (3) Neuroregression and SD starting at age 12 months Alive (29)
P2 (mother of P1) F Clinically nonpenetrant Alive (62)
P3 (sister of P1) F Clinically nonpenetrant Alive (33)
AGS2180 P1 F c.2335C>T p.Arg779Cys De novo Unreported AGS Alive (4)
AGS2222 P1 M c.2471G>A p.Arg824Lys De novo Unreported Isolated liver disease Alive (9)
AGS2369 P1 M c.1747A>G p.Ile583Val De novo Unreported AGS Alive (10)
AGS2399 P1 M c.2317G>C p.Glu773Gln De novo Unreported Neuroregression and SD starting at age 16 months Alive (8)
AGS2422 P1 F c.2159G>A p.Arg720Gln No parental testing Unreported SP Alive (38)
AGS2507 P1 F c.2335C>T p.Arg779Cys De novo Unreported AGS Alive (1)
AGS2548 P1 M c.2159G>A p.Arg720Gln De novo Unreported AGS Alive (3)
AGS2586 P1 M c.1178A>C p.Asp393Ala De novo Unreported AGS-like with frank regression at age 21 months Alive (3)
AGS2662 (LD_1640) P1 F c.2404A>G p.Asn802Asp De novo Unreported Neuroregression and SD starting at age 11 months Alive (1)
AGS2669 P1 M c.1331A>G p.Glu444Gly De novo Unreported AGS Deceased (0.5)
Hm_1 P1 F c.2156C>T p.Ala719Val De novo Unreported AGS Alive (2)
Berg_1 P1 F c.2336G>A p.Arg779His De novo Unreported Neuroregression and SD starting at age 9 months Alive (7)
Orc_0098 P1 M c.2336G>A p.Arg779His De novo Unreported AGS Alive (4)
LD_0940.0 P1 M c.2342G>A p.Gly781Glu De novo Unreported Neuroregression and SD starting at age 15 months Alive (5)
LD_0943.0 P1 F c.2342G>A p.Gly781Glu De novo Unreported SP Alive (14)
LD_0982.0 P1 M c.2159G>A p.Arg720Gln De novo Adang et al. (2018); Case 2 AGS Alive (9)
LD_1030.0 P1 F c.2335C>T p.Arg779Cys De novo Unreported AGS Alive (5)
LD_1067.0 P1 M c.2336G>T p.Arg779Leu De novo Unreported AGS Alive (8)
LD_1199.0 P1 F c.2336G>A p.Arg779His De novo Unreported AGS Alive (4)
LD_1346.0 P1 M c.2936T>G p.Leu979Trp De novo Adang et al. (2018); Case 3 AGS Deceased (0.4)
LD_1381 (Hart) P1 F c.2336G>A p.Arg779His Familial (4) Unreported SP Alive (4)
P2 (brother of P1) M SP Alive (3)
P3 (father of P1 and P2) M SP Alive (32)
P4 (father of P3) M Clinically nonpenetrant Alive (68)
LD_1488.0 P1 F c.2407A>T p.Ile803Phe De novo Unreported AGS Alive (2)
LD_1585.0 P1 F c.2336G>A p.Arg779His De novo Unreported AGS Alive (5)

Note: IFIH1 mutation annotation based on the reference complementary DNA sequence NM_022168.2.

Abbreviations: AGS, Aicardi–Goutières syndrome; CLL, Chilblain-like lesions; F, Female; ICC, intracranial calcification; LLD, Lupus-like disease; M, Male; SD, spastic dystonia; SP, spastic paraparesis; SMS: Singleton Merten syndrome; TM, transverse myelitis

3.3 ∣. Interferon status

Where tested, all mutations (i.e., 26 of 27) were associated with increased expression of ISGs in peripheral blood (Table 1). Samples were unavailable for the single patient carrying the p.Glu773Gln substitution. This variant is not recorded in gnomAD, occurring de novo in the context of a phenotype compatible with IFIH1 upregulation, and conferring a gain-of-function in our in vitro assay (Figure S2). Considering all (51) mutation-positive individuals tested for ISG expression in the Crow laboratory (given that a direct comparison of results across laboratories is not possible), 109 of 117 values were positive (Table S3; Figure S3). Only one clinically symptomatic patient (AGS2154_1) demonstrated a negative interferon signature (on two of three occasions tested). The phenotype, in this case, was unusual; a child with white matter disease confined to the right cerebral hemisphere on MRI and no abnormal neurological signs on examination, having presented at age 8 years with headaches. We leave open the possibility that these two normal results, and three normal results from his mother, might be due to technical artifact, given that the samples had been stored for many months before testing. Sixteen samples from seven clinically nonpenetrant subjects exhibited an upregulation of interferon signaling, with two asymptomatic mutation carriers demonstrating normal interferon signatures (each tested on three occasions).

3.4 ∣. Modeling of IFIH1 gain-of-function mutations

Modeling of the 27 mutations described here showed that most residues cluster near the ATP binding site within the helicase domain (Figure 3). Three mutations, p.Ileu583Val, p.Ileu956Val, and p.Leu979Trp were the only residues not situated in the cluster (colored cyan; only p.Ileu583Val and p.Leu979Val are shown since residue p.Ileu956 is disordered in the crystal structure). Within this main cluster, residues can be further categorized into three groups: those at the ATP binding pocket (magenta spheres), those in the double stranded RNA (dsRNA) binding surface (colored blue) and those not directly involved in either ATP or RNA binding (colored green). Three published mutations (p.Leu372phe; p.Ala452Thr; p.Glu813Asp; Table S4) not ascertained in our cohort are also located within the main cluster (colored orange), further supporting the importance of this region in the regulation of IFIH1 signaling activity.

FIGURE 3.

FIGURE 3

Mutation mapping. Structure of human IFIH1 (4GL2) in complex with double stranded RNA (dsRNA; blue stick model in the center). Only the RNA binding domain (helicase domain and C-terminal domain, CTD) are included in the crystal structure. Note that the helicase domain consists of Hel1, Hel2i, and Hel2. Mutations are indicated by spheres using the following color code: residues in the ATP binding pocket (magenta), residues in the dsRNA binding surface (blue), residues within the main cluster but not directly involved in RNA binding or ATP binding (green), residues outside the main cluster (cyan), and residues previously reported by others but not in our cohort (orange). We considered all 27 mutations reported here plus three previously published mutations (p.Leu372Phe; p.Ala452Thr; p.Glu813Asp) not ascertained in our series. Residues p.Arg822, p.Arg824, and p.Ile956 are not shown because they are disordered in the crystal structure, but are expected to be located in the ATP binding (p.Arg822 and p.Arg824) and RNA binding (p.Ile956) pockets

4 ∣. DISCUSSION

Here we present data on 74 individuals, 41 previously unreported, from 51 families, with a putative gain-of-function mutation in IFIH1. Consistent with previous descriptions, we observed a spectrum of phenotypes, encompassing AGS, spastic-dystonia, spastic paraparesis, SMS and clinical nonpenetrance. Phenotypic variability was common, both in the context of familial inheritance and mutations seen recurrently across families so that no obvious genotype–phenotype correlations could be ascertained.

Acute regression was noted in almost one-third of symptomatic mutation carriers, occurring after the age of 1 year in seven patients demonstrating completely normal development to that time. Beyond acute regression, a slower onset of disease, and subsequent progression, was seen in patients demonstrating a spastic paraparesis phenotype. Together with the observation of clinical nonpenetrance (10:13.5% of 74 mutation-positive individuals in our series), with seven individuals identified to be apparently disease-free beyond the age of 50 years, these data suggest the importance of additive genetic factors and/or environmental triggers in determining phenotypic status. Although we did not formally record neuroimaging features in our cohort, white matter disease and intracranial calcification were observed frequently. Such imaging characteristics can be seen in the absence of overt neurological signs (see Bursztejn et al., 2015 and de Carvalho et al., 2017). Conversely, significant neurological disease, most typically spastic paraparesis, can occur in the context of normal brain and spinal imaging (e.g., the father in family AGS524).

Clinically manifest extraneurological illness was uncommon in our series, but there appears to be a real association between IFIH1 gain-of-function and lupus-like illness, autoimmune hepatitis, and hypothyroidism. Furthermore, psoriatic-like skin disease is a well-recognized feature of the SMS phenotype. As recently described (Adang et al., 2018), two patients included here were diagnosed with pulmonary hypertension, a feature which was not searched for in most patients and may be under-recognized.

We observed a strong association of mutation status with an enhanced expression of ISGs, with 109 of 117 samples from 51 patients being positive in the experience of one laboratory. A similar conclusion can be drawn from in vitro testing. As such, upregulated interferon signaling represents a reliable biomarker of IFIH1 gain-of-function, and can serve as an indicator of variant pathogenicity where doubt exists as to the significance of a molecular lesion. This is important given that we show here that in silico algorithms do not always accurately predict pathogenicity (involving 22% of the mutations that we recorded). Where tested, clinical nonpenetrance was also associated with a persistent upregulation of interferon signaling, with only two of nine such individuals nonpenetrant on ISG testing in blood. Whether these individuals demonstrate fluctuations in ISG expression is not known at this time.

Despite documented clinical nonpenetrance in some cases, all putative IFIH1 gain-of-function substitutions are rare, with only two of the 30 discrete mutations described here and in previous reports recorded in gnomAD. Furthermore, all ascertained type I interferonopathy associated mutations are missense variants, likely conferring increased sensitivity to a self-derived nucleic acid. Although premature termination mutations in the helicase domain are seen in control populations as common polymorphisms, none has been associated with a type I interferonopathy phenotype, further supporting the role of nucleic acid binding by the helicase domain in disease pathogenesis. Substitutions of the arginine residues at positions 720 and 779 were seen in six and 19 probands, respectively, in our series. Given the focus of our laboratories on pediatric neurological disease, our data are likely to subject to ascertainment bias. Indeed, although only observed once by us, the p.Arg822Gln mutation has been reported in an additional five pedigrees demonstrating a classical SMS phenotype (Pettersson et al., 2017; Rutsch et al., 2015).

IFIH1 is a member of the retinoic acid-inducible gene I (RIG-I) receptor family (del Toro Duany, Wu, & Hur, 2015). Recognition of cytoplasmic viral dsRNA by IFIH1 induces filament assembly along the dsRNA axis, with the helicase domains and C terminal domain responsible for RNA recognition. Filament formation then induces oligomerization of the tandem CARD domains (2CARD) of IFIH1, leading to the interaction with mitochondrial MAVS and subsequent induction of interferon and other proinflammatory cytokines. IFIH1 filament stability is intrinsically regulated by ATP hydrolysis, which is stimulated upon dsRNA binding. Mutations that impair ATP hydrolysis generally increase filament stability and, often, but not always, confer gain-of-function signaling activity. The clustering of mutations that we ascertained, and of a further three unique published mutations, near the ATP binding region likely highlights common mechanisms, perhaps increasing RNA binding affinity or decreasing the efficiency of ATP hydrolysis and the rate of filament disassembly.

Summarizing, IFIH1 gain-of-function is associated with a spectrum of phenotypes, occurring due to de novo mutations or transmitted as an autosomal dominant trait. Testing for an interferon signature in blood represents a useful biomarker in this context, which can aid in the interpretation of identified sequence variants.

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ACKNOWLEDGMENTS

Yanick J. Crow acknowledges The University of Maryland Brain and Tissue Bank of the NIH NeuroBioBank. Yanick J. Crow acknowledges the European Research Council (786142-E-T1IFNs), a state subsidy managed by the National Research Agency (France) under the “Investments for the Future” program bearing the reference ANR-10-IAHU-01 and the MSDAvenir fund (DEVO-DECODE Project). Tracy A. Briggs acknowledges the National Institute for Health Research (NIHR; NIHR Transitional Research Fellowship, TRF-2016-09-002; with the views expressed were those of the author and not necessarily those of the NHS, the NIHR or the Department of Health). Adeline L. Vanderver is supported by the Kamens endowed chair for Translational Neurotherapeutics and the Myelin Disorders Bioregistry Project. Adeline L. Vanderver and Laura A. Adang acknowledge the CURE Pennsylvania Frontiers in Leukodystrophy grant and U01HD082806. Laura A. Adang also acknowledges the National Center for Advancing Translational Sciences of the National Institutes of Health under award number KL2TR001879. Lien Van Eyck received funding from Research Foundation Flanders (FWO).

Funding information

Public Health Research Programme, Grant/Award Number: TRF-2016-09-002; National Center for Advancing Translational Sciences of the National Institutes of Health, Grant/Award Number: KL2TR001879; CURE Pennsylvania Frontiers in Leukodystrophy, Grant/Award Number: U01HD082806; H2020 European Research Council, Grant/Award Number: 786142-E-T1IFNs; Agence Nationale de la Recherche, Grant/Award Number: ANR-10-IAHU-01; MSDAvenir fund, Grant/Award Number: DEVO-DECODE Project; NIHR Transitional Research Fellowship, Grant/Award Number: TRF-2016-09-002

Footnotes

CONFLICT OF INTERESTS

Y. J. Crow has undertaken consultancy work with Biogen on behalf of the University of Edinburgh.

DATA AVAILABILITY STATEMENT

Data available on request due to privacy/ethical restrictions. Identified variants submitted to ClinVar (Submission ID: SUB6667166; Organization ID: 507341).

Gillian I. Rice and Sehoon Park equally contributed to this study.

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