Skip to main content
Springer logoLink to Springer
. 2025 May 27;45(1):100. doi: 10.1007/s10875-025-01892-0

From Rare to Common: Genetic Insights into TLR7 Variants in a Multicentric Spanish Study on COVID-19 Severity

Arnau Antolí 1,2,3,4, Gardenia Vargas-Parra 5,6,7,#, Angels Sierra-Fortuny 1,3,#, Jose Luis Gomez-Vazquez 1,3,4, Paula Rofes 5,6,7, Elisabet Munté 5,6,7, Julen Viana-Errasti 6, Raúl Marín-Montes 6,8, Adriana López-Doriga 8,9, Lidia Feliubadaló 5,6,7, Jesús del Valle 5,6,7, Alexandre Pérez-González 10,11, Eva Poveda 11, Xavier Solanich 1,2,3,4,#, Conxi Lázaro 4,5,6,7,✉,#
PMCID: PMC12116960  PMID: 40423910

Abstract

TLR7, which encodes a key receptor for single-stranded RNA (ssRNA) virus of the innate immune system, was recently associated with X-linked immunodeficiency and COVID-19 susceptibility. This study investigates the association between TLR7 variants and susceptibility to severe COVID-19 in a multicentric Spanish cohort. The TLR7 gene was sequenced in a cohort of 365 COVID-19 patients, stratified into two groups: one comprising mild and asymptomatic patients, considered as controls (n = 87), and the other consisting of moderate to severely affected patients hospitalized due to COVID-19 pneumonia, considered as cases (n = 278). A total of 152 unique TLR7 variants were identified, of note, six rare variants were identified in 11 cases (3.96%), all of whom belonged to the case group. The functional impact of rare TLR7 variants was assessed using a luciferase reporter assay and revealed that N215S is a loss-of-function (LOF) variant, while D332G exhibits an hypomorphic behavior. Conversely, H90Y, V219I, A448V, and R902K maintained normal signaling. No skewed X-inactivation was observed in female carriers of N215S or D332G. In addition, the common variants Q11L (rs179008), c.4-151A>G (rs179009) and c.*881C>G (rs3853839) were associated with severe pneumonia, while c.4-151A>G (rs179009) was specifically linked to Intensive Care Unit (ICU) admission. These findings highlight the role of TLR7 in antiviral immune response and its association with severe COVID-19 in men. The luciferase assay proves to be a reliable tool for evaluating TLR7 signaling, effectively distinguishing between neutral, LOF, and gain-of-function (GOF) variants. Further research is needed to better understand TLR7 variants and its implications in immunodeficiency and immune dysregulation.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10875-025-01892-0.

Keywords: TLR7, X-linked, COVID-19, immunodeficiency, innate immunity

Introduction

Located on the X chromosome (Xp.22.2), the TLR7 gene was described in 2000 [1, 2]. TLR7 comprises 3 exons, with exon 2 encoding only the initiation methionine, while the remainder part of the protein is encoded in exon 3 [13]. TLR7 is a pattern recognition receptor that feature an extracellular leucine reach repeats (LRR) domain and a cytoplasmic Toll/IL-1 domain [4]. TLR7 is expressed in the endosomal compartment of plasmocytoid dendritic cells (pDCs) [5]. Its known ligands include imidazoquinolinone derivatives (IMQs), such as imiquimod (R837), ssRNA viruses, and synthetic uridine-rich ssRNA sequences that mimic viral RNA. TLR7 contains two distinct ligand-binding sites: site 1, which recognizes nucleosides, nucleoside analogues and IMQs, playing a key role in receptor dimerization; and site 2, which binds short oligoribonucleotides and enhances the binding affinity of site 1 ligands to facilitate dimerization. Upon activation, the LRR domain forms an M-shaped dimer containing the two ligand-binding sites [6]. TLR7 signaling is mediated through a MyD88-dependent pathway that activates anti-viral immune response. This pathway recruits the IRF7 signaling mediator and, through the adaptor molecule TRAF6, activates the transcription factor NF-κB, resulting in a substantial secretion of interferon (IFN)-α in pDCs [511].

No genetic defects or clinical conditions were associated with TLR7, until 2020, when Van der Made et al. reported two pairs of unrelated siblings with severe COVID-19 carrying pathogenic TLR7 variants [12]. The SARS-CoV-2 pandemic, resulting in over 760 million cumulative cases and nearly seven million deaths worldwide [1315] allowed the identification of advanced age as the most significant common risk factor for severe disease [1619]. Other underlying medical conditions, such as chronic lung disease and diabetes, also increased the susceptibility to severe COVID-19[20]. Notwithstanding, severe COVID-19 cases were observed in previously healthy young individuals too. Our group reported a rare TLR7 N215S variant in two healthy brothers who experienced severe COVID-19[21]. Subsequently, the accumulated evidence, led to the description of a new inborn error of immunity known as X-linked TLR7 deficiency for severe COVID-19[2224]. The comprehensive study of genetic susceptibility to COVID-19 has provided substantial evidence that rare TLR7 variants are associated with an increased risk of developing severe forms of the disease [2529]. In contrast, the association between the common TRL7 variants and COVID-19 severity has yielded conflicting results [3034]. Next-Generation Sequencing (NGS) studies performed during the COVID-19 pandemic marked a paradigm shift, revealing genetic factors influencing SARS-CoV-2 susceptibility [12, 21, 22, 29, 3539]. Proper TLR7-mediated viral sensing and Myddosome signal transduction are crucial for an early and robust type I interferon (IFN-I) response, ensuring effective viral control and mild or asymptomatic disease. Conversely, delayed IFN-I induction or dysregulated responses may lead to excessive TLR7 protein levels or mislocalization, triggering inflammasome activation and cytokine storm development [32, 4042].

In this context, our study aims to evaluate the contribution of rare and common TLR7 variants to COVID-19 severity in a multicenter Spanish cohort, including the functional analysis of selected rare variants.

Methods

Study Design

TLR7 variants were screened in a cohort of SARS-CoV-2 primary infected patients. The complete clinical cohort comprises 365 COVID-19 patients from two hospitals: Bellvitge University Hospital, Barcelona, and Instituto de Investigación Sanitaria Galicia Sur (IISGS), Pontevedra, both located in Spain. Samples from the IISGS were selected from individuals who belonged to the COVID cohort. For the current study, cases (n = 278) were defined as patients developing COVID-19 pneumonia with a World Health Organization (WHO) Ordinal Scale (WHO-OS; Table S1) of ≥ 3; Controls (n = 87) were defined as WHO-OS ≤ 2. All collected demographic and clinical data are shown in Table S5.

DNA Extraction

DNA was isolated from buffy coat samples using a Maxwell® 16 Instrument and Maxwell Blood DNA purification kit (AS1010, Promega, Madison, WI, USA), following the manufacturer's protocol.

Genetic Testing

Genetic testing was performed on genomic DNA using a NGS custom-designed panel. This panel includes the coding sequence and at least surrounding 20bp for 136 genes and 55 Single Nucleotide Polymorphisms (SNPs) (Table S2) to assess COVID-19 human genetic susceptibility. For the TLR7 gene, the entire gene sequence was captured, including Untranslated Regions (UTRs), exons and introns, based on the NG_012569.1. Library preparation was performed following KAPA HyperCap Workflow v3.0 (Roche, Basel, Switzerland). Capture enriched libraries were sequenced on a NextSeq 550 instrument, with 2×151 paired-end cycles (Illumina, San Diego, CA, USA). TLR7 N215S variant proband’s and family members [21] were included in the analysis as part of the quality control for the NGS panel.

Bioinformatics Analysis

NGS data were processed using a custom bioinformatics pipeline based on standard tools. Raw FASTQ files were processed using fastp [43] with default parameters, and they were aligned against the UCSC GRCh37/hg19 human reference genome using bwa-mem2 [44]. Then, following the GATK Best Practices recommendations [45], duplicate removal, base quality score recalibration and single-sample germline short variant discovery over the target regions were performed using their GATK4 modules [46] with the default parameters. DeCoN V2.0.1 was used for Copy Number Variation (CNV) detection. The obtained Single Nucleotide Variants (SNV)s and insertions and deletions (indels) were specifically hard filtered using standard parameters with VariantFiltration GATK4 module: (i) SNP filters were QD < 2.0, QUAL < 30.0, FS > 60.0, SOR > 3.0, MQ < 40.0, MQRankSum < −12.5 and ReadPosRankSum < −8.0, and (ii) indel filters were QD < 2.0, QUAL < 30.0, FS > 200.0 and ReadPosRankSum < −20.0. Then, PASS variants were normalized and multiallelic sites were split using LeftAlignAndTrimVariants GATK4 module. Finally, variants were annotated integrating VEP [47], ANNOVAR [48] and SnpEff [49] to provide information about the gene locus, functional impact, specific variation databases (dbSNP and ClinVar), population frequencies (1000G, ESP6500, gnomAD and ALFA) and in silico predictors of pathogenicity (SIFT, Polyphen2, CADD, MutationAssessor, REVEL, METALR, MetaLR and MetaRNN). In addition, specific sequencing and alignment quality metrics were generated from FASTQ and BAM files using FastQC [50] and GATK4, respectively, and coverage metrics were obtained using Mosdepth [51]. Then, they were collected and displayed in a report using MultiQC [52].

Cell Culture

Human embryonic kidney (HEK) 293T cells (CRL-1573, ATCC, Manassas, VA, USA) were grown in Dulbecco’s modified Eagle medium (DMEM) (31,966,021, Thermo Fisher Scientific, Waltham, MA, USA) supplemented with 10% (v/v) fetal bovine serum (A5256701, Thermo Fisher Scientific) and maintained at 37°C with 5% CO2.

Plasmids

A TLR7 vector template (pCMV6-TLR7) was generated by inserting TLR7 (RC207515, OriGene, Rockville, MD, USA) into a pCMV6-AC-Myc-DDK Mammalian Expression Vector (PS100007; OriGene). The In-Fusion® Snap Assembly Value Bundle (638,946, Takara Bio USA, San Jose, CA, USA) was used to generate all the TLR7 variants according to the manufacturer’s instructions. The primers for site-directed mutagenesis were used according to Asano et al. [22]; those not previously described are listed in Table S3. All variants were subsequently confirmed by Sanger sequencing (Figure S1).

Western Blot

HEK293T cells were seeded in 6-well plates in 10% FBS-supplemented DMEM. After 24h, cells were transfected with wild-type (WT) or variant TLR7 vectors in the presence of X-tremeGENE 9 DNA transfection reagent (06365809001, Roche). After 24h, protein extraction was made lysing cells in RIPA buffer supplemented with protease/phosphatase inhibitors (4693116001, Roche). Protein concentration was determined with the Pierce BCA Protein Assay Kit (23225, Thermo Fisher Scientific). Western blot was performed using 20 µg of total protein extract in 12% acrylamide gels (1610185, Bio-Rad, Hercules, CA, USA). Protein transference to nitrocellulose membranes was performed with a Trans-Blot Turbo™ RTA Transfer Kit (170–4270, Bio-Rad) in the Trans-Blot Turbo™ Transfer System (Bio-Rad). Membranes were blocked with 5% BSA (10735078001, Roche) for 1h. Membranes were incubated overnight at 4ºC with primary antibodies diluted 1:1000 for N-terminus TLR7 (5632, Cell Signaling Technology, Danvers, MA, USA) or C-terminus TLR7 (EPR2088(2), Abcam, Cambridge, UK) and 1:2500 GAPDH (ab9485, Abcam). Detection was performed using 1:1000 Goat anti-Rabbit IgG (H+L) secondary antibody (32460, Thermo Fisher Scientific).

TLR7 Luciferase Reporter Assay

HEK293T cells were seeded in 96-well plates in 10% FBS-supplemented DMEM. After 24h, cells were transfected in the presence of X-tremeGENE 9 DNA transfection reagent with a vector containing five copies of an NF-κB response element, followed by the luciferase reporter gene luc2P (E8491, Promega), 100 ng/well; either the WT or the variant pCMV6-TLR7 vector, 20 ng/well; the UNC93B1 Human Tagged ORF Clone vector (RC210505, OriGene), 0.625 ng/well; and a constitutively expressing Renilla luciferase plasmid (E2231, Promega), 10 ng/well. After 24h, cells were stimulated or not with various TLR7 agonists for 24h: R848 (1 µg/ml), R837 (5 µg/ml) or CL264 (5 µg/ml) (tlrl-r848-1, Invivogen, San Diego, CA, USA). Luciferase and Renilla activity were measured using the Dual-Luciferase® Reporter Assay System (E1960, Promega). Renilla-Luciferase assay (RLA) ratios were normalized against the stimulated WT values. Those variant ratios showing less than 25% of the activity of the stimulated WT were considered loss-of-function (LOF) [22, 53].

Skewed X Inactivation Analysis

Skewed X-inactivation was assessed via the HUMARA assay [54]. DNA samples were either digested with HpaII (R0171S, New England Biolabs, Ipswich, MA, USA) or incubated without the enzyme. The androgen receptor locus was then PCR-amplified using FAM-labeled primers [forward FAM-labeled primer (5’-GCTGTGAAGGTTGCTGTTCCTCAT-3’) and a reverse primer [5’-TCCAGAATCTGTTCCAGAGCGTGC-3’] and analyzed on an AB3500 instrument (Applied Biosystems).

Statistical Analysis

For statistical analysis of common TLR7 variants, group comparisons were performed using the chi-square test. Statistical significance was set at p < 0.05, and odds ratios (OR) with 95% confidence intervals (CI) were calculated. Analyses were conducted using SPSS, version 19.

Results

TLR7  Variants

This study identified 152 unique TLR7 variants in 365 patients (Table S4). Of them, 126 were SNVs and 26 were small insertions and deletions (indels). Among SNV variants, 114 were intronic and 12 were exonic. Amid exonic variants, five were synonymous and seven missense. All indels were deep intronic and no canonical splice site, nonsense, frameshift variants or CNVs were identified in our cohort. The common missense variant Q11L was found in 106 patients in our cohort, representing an allele frequency of 0.29. All rare missense variants [minor allele frequency (MAF): < 0.01] were considered for further study: V219I, A448V, R920K, D332G, N215S and H90Y. Since in silico tools did not predict any deleterious splicing effects, synonymous and intronic variants were excluded from functional validation.

TLR7 Rare Variant Carriers

The six rare TLR7 missense variants were identified in eleven patients, all classified as cases, hospitalized due to COVID-19 pneumonia. These variants accounted for 3.01% of the cohort and had a joint prevalence of 3.96% among cases (Table 1). No rare TLR7 variants were found in the control group.

Table 1.

Rare TLR7 variant carriers in our cohort

Gene HGVSc HGVSp Variant AFS MAF References Effect* Patient Sex Age Ethnicity WHO-OS Allele status
TLR7 c.268C>T p.His90Tyr H90Y 0.00274 - - Neutral 231 Woman 69 European 7 Heterozygous
c.644A>G p.Asn215Ser N215S 0.00274 - 21 LOF 1 Man 30 Latino 5 Hemizygous
c.655G>A p.Val219Ile V219I 0.013698 1.27e-3 22,29 Neutral 4 Man 48 Latino 4 Hemizygous
70 Man 31 Latino 5 Hemizygous
100 Man 49 Latino 7 Hemizygous
165 Man 46 Latino 8 Hemizygous
262 Man 44 Latino 6 Hemizygous
c.995A>G p.Asp332Gly D332G 0.00274 7.44e-6 22 Hypomorphic 148 Woman 48 European 5 Heterozygous
c.1343C >T p.Ala448Val A448V 0.0055 4.16e-3 22,29 Neutral 11 Man 31 European 3 Hemizygous
116 Man 58 European 7 Hemizygous
c.2759G>A p.Arg920Lys R920K 0.00274 1.19e-4 22,29,37 Neutral 204 Woman 65 European 7 Heterozygous

AFS allele frequency among the samples, MAF minor variant allele frequency according to gnomAD v4, LOF Loss of function, WHO-OS WHO Ordinal Scale. *According the TLR7 luciferase reporter assay

H90Y was identified in heterozygosity in a 69-year-old woman of European ancestry, who had no known risk factors for severe COVID-19 disease other than her age. She contracted COVID-19 and experienced a critical course, reaching grade 7 in the WHO-OS, requiring oral intubation, invasive mechanical ventilation (IMV), and posterior tracheostomy due to acute respiratory distress syndrome (ARDS). The H90Y variant was not found in population databases and has not been previously reported in any patient.

The N215S variant was found in hemizygosity in patient 1. The proband, previously described by Solanich et al.[21], is a 30-year-old man of Latino ancestry without risk factors for COVID-19, yet he developed a severe disease. N215S was not present in population databases and was also found in hemizygosity in the proband’s brother and in heterozygosity in his mother. The variant implies a change in a highly conserved nucleotide in the TLR7 LRR domain, and in silico predictors inferred a possibly damaging effect. Unfortunately, functional validation of this variant was not possible at that time [21].

The V219I variant was found in hemizygosity in five unrelated patients. All were men of Latino ancestry, with or without risk factors for severe disease, and were hospitalized due to COVID-19 pneumonia. These patients exhibited a wide range of COVID-19 severity, detailed in Table S5. Three of them developed critical disease with ARDS, one of whom died despite receiving extracorporeal membrane oxygenation (ECMO).

Variant D332G was identified in heterozygosity in a 48-year-old woman with obesity, a known risk factor for severe COVID-19. She presented a severe disease that required intermediate care admission and respiratory support with high-flow nasal cannula (HFNC).

The A448V variant was found in hemizygosity in two men of European ancestry exhibiting a distinct phenotype. Patient 11, a 31-year-old man without risk factors for severe disease, was hospitalized with COVID-19 pneumonia but did not require oxygen support; patient 116, who was 58-year-old with risk factors, developed a severe disease with ARDS requiring IMV and ECMO.

Lastly, we identified the R920K variant in a 65-year-old woman with multiple risk factors, that developed a critical disease with ARDS, requiring IMV and vasoactive support. She experienced several complications: Takotsubo syndrome, atrial fibrillation, bilateral iliac deep vein thrombosis, and bilateral segmentary pulmonary embolism. She also had lower gastroinstestinal bleeding in the context of anticoagulation therapy, as well as bilateral hydropneumothorax as a consequence of bilateral bronco-pleural fistula and multiple superinfections requiring antibiotic treatment.

We did not identify any additional putative pathogenic variant in the remaining 135 genes in either of the carrier patients described above (data not shown; manuscript in preparation). Additionally, none of these patients showed evidence of autoantibodies neutralizing type I IFNs (AAN-IFN-I) (data not shown; manuscript in preparation). This is relevant considering that phenocopies of type I IFN deficiency could potentially explain susceptibility to COVID-19.

Functional Evaluation of TLR7  Variants

To further analyze the putative effect on protein function of the rare variants described above, the six TLR7 variants were modeled by site-directed mutagenesis and transiently expressed in HEK293cells, which lack endogenous expression of TLR7. As expected, and shown in Fig. 1A, all the TLR7 variants exhibited normal protein expression except for the frameshift variant Q710Rfs*18, that exhibited a lack of C-terminal immunostaining and a reduced size in the western blot analysis.

Fig. 1.

Fig. 1

Functional evaluation of the 6 rare TLR7 variants. Previous known TLR7 LOF variants N75H, Q710Rfs*18 and V795F (References 12,22), GOF variant: R28G (Reference 71), and common variants Q11L and V222D were included in the functional evaluation as controls. A Immunobloting of TLR7 (140kD) WT and variants using N-terminal and C-terminal primary antibodies. B HEK293T were or not stimulated with R848 1 μg/mL, CL264 5 μg/mL, R837 5 μg/mL for 24 h. NFκB response was measured using a Dual-Luciferase Reporter, Luciferase/Renilla ratios were normalized against the stimulated WT variant values. Mean ± SEM of n = 3 experiments. Two-way ANOVA with Dunnett’s post hoc test. Variants with less than 25% of the activity of the stimulated WT variant were considered LOF. EV: Empty vector; WT: Wild Type; LOF: Loss of function; GOF: Gain of function; NS: non-stimulated; *p < 0.0332; **p < 0.0021; ***p < 0.0002; ****p < 0.0001

The functional evaluation was performed using an in vitro stimulation assay with IMQs (R848, CL264 or R837) and an NF-κB luciferase-reporter assay, according to Asano et al.[22] and C. David et al.[53]. Figure 1B illustrates that the TLR7 N215S variant exhibited a complete lack of stimulation with IMQs, similar to previously known LOF variants. The unreported variant H90Y exhibited a neutral effect, comparable to the WT after stimulation with the three IMQs, revealing a normal TLR7 function. As previously reported [22], the D332G variant exhibited a lower activity than the WT but consistently above the 25% RLA NF-κB activity, behaving more like a hypomorphic variant than a complete LOF one. Table 1 summarizes the functional results of all rare TLR7 investigated in the present study.

Skewed X Inactivation Evaluation in TLR7 Variant Carriers

We hypothesized that skewed X-chromosome inactivation could be the underlying cause of severe COVID-19 in women carrying N215S (probrand’s mother) and D332G variants. Therefore, we evaluated skewed X inactivation using the HUMARA assay in women carrying these variants (Table 1). The corrected allele ratios of both carriers resulted above 20%, indicating no evidence of skewed X inactivation in these patients (Figure S2).

Familial Segregation of TLR7 D332G Variant

The penetrance of TLR7 hypomorphic defects, such as the D332G variant, remains unknown. Our goal was to establish a genotype–phenotype correlation within the proband’s family, given the hypomorphic nature of the D332G variant (Fig. 2). All women in the family were heterozygous for the TLR7 D332G variant, while the proband’s brother was the only man presenting the variant in hemizygosity. Interestingly, all family members were simultaneously infected by SARS-CoV-2, but the severity of their disease varied widely. The proband experienced the most severe disease, requiring HFNC and intermediate care admission (WHO-OS 5). The proband’s mother required hospitalization and oxygen therapy (WHO-OS 4). The proband’s sister developed symptoms of COVID-19 pneumonia, including dyspnea, chest pain, and fever; however, she was managed on an outpatient basis, as her initial chest radiograph showed no pulmonary infiltrates, and her oxygen saturation levels were normal. The proband’s brother, his son and daughter all had mild to asymptomatic disease.

Fig. 2.

Fig. 2

Pedigree of the family harbouring D332G variant. X+ indicates D332G allele. X indicates WT allele. The proband is indicated with an arrow. Black color indicates COVID-19 moderate (WHO-OS 4) to severe phenotype (WHO-OS 5), while grey indicates patients with a mild to asymptomatic (WHO-OS 1–2) disease presentation

Common TLR7 Polymorphisms

As TLR7 plays a central role in SARS-CoV-2 detection and the initiation of the innate immune response, several studies have investigated the association between common TLR7 variants and COVID-19. In Table 2 and Table S6, we analyzed the correlation of these variants and COVID-19 adverse outcomes. A potential effect was observed for variants Q11L, c.4-151A>G and c.*881C>G in COVID-19 cases compared to controls, pneumonia requiring supplemental oxygen with a fraction of inspired oxygen (FiO2) greater than 31% and WHO-OS score ≥ 5. Notably, the intronic variant c.4-151A>G was the only variant related to ICU admission due to COVID-19, with an OR of 1.93 (CI 95% 1.13 to 3.32).

Table 2.

Common TLR7 variants analyzed in this study and distribution according to different clinical outcomes

TLR7
SNP
(rs from dbSNP)
Genotype Clinical Outcome OR
(95% CI)
p-value
N % N %

Cases

(n = 278)

Controls

(n = 87)

Q11L

(rs179008)

T/T—T 55 87.3 8 12.7

2.436

(1.111 to 5.339)

0.023
T/A—A/A—A 223 73.8 79 26.2

c.4-151A>G

(rs179009)

G/G—G 65 89 8 11

3.013

(1.384 to 6.564)

0.003
A/A—G/A—A 213 72.9 79 27.1
c.*881C>G (rs3853839) G/G—G 60 90.9 6 9.1

3.7156

(1.5456 to 8.9322)

0.0034
C/C—G/C—C 218 72.9 81 27.1
Pneumonia requiring supplemental oxygen FiO2 ≥ 31%
Yes (n = 275) No (n = 90)

Q11L

(rs179008)

T/T—T 55 87.3 8 12.7

2.563

(1.170 to 5.611)

0.016
T/A—A/A—A 220 72.8 82 27.2

c.4-151A>G

(rs179009)

G/G—G 65 89 8 11

3.173

(1.4580 to 6.9034)

0.002
A/A—G/A—A 210 71.9 82 28.1
c.*881C>G (rs3853839) G/G—G 59 89.4 7 10.6 3.2388 (1.4216 to 7.3786) 0.0052
C/C—G/C—C 216 72.2 83 27.8
WHO-OS ≥ 5
Yes (n = 266) No (n = 99)

Q11L

(rs179008)

T/T—T 53 84.1 10 15.9

2.215

(1.078 to 4.548)

0.029
T/A—A/A—A 213 70.5 89 29.5

c.4-151A>G

(rs179009)

G/G—G 63 86.3 10 13.7

2.762

(1.355 to 5.630)

0.003
A/A—G/A—A 203 69.5 89 30.5
c.*881C>G (rs3853839) G/G—G 59 89.4 7 10.6

3.7460

(1.6480 to 8.5148)

0.0016
C/C—G/C—C 207 69.2 92 30.8
ICU Admission
Yes (n = 199) No (n = 166)

Q11L

(rs179008)

T/T—T 41 65.1 22 34.9

1.699

(0.965 to 2.989)

0.71
T/A—A/A—A 158 52.3 144 47.7

c.4-151A>G

(rs179009)

G/G—G 49 67.1 24 32.9 1.933 (1.127 to 3.315) 0.018
A/A—G/A—A 150 51.4 142 48.6
c.*881C>G (rs3853839) G/G—G 37 56.1 29 43.9

1.079

(0.631 to 1.845)

0.891
C/C—G/C—C 162 54.2 137 45.8
Death
Yes (n = 14) No (n = 351)

Q11L

(rs179008)

T/T—T 3 4.8 60 95.2

1.323

(0.358 to 4.885)

0.717
T/A—A/A—A 11 3.6 291 96.4

c.4-151A>G

(rs179009)

G/G—G 4 5.5 69 94.5

1.635

(0.498 to 5.368)

0.492
A/A—G/A—A 10 3.4 282 96.6
c.*881C>G (rs3853839) G/G—G 3 4.5 63 95.5

1.247

(0.338 to 4.599)

0.725
C/C—G/C—C 11 3.7 288 96.3

SNP single-nucleotide polymorphism, FiO2 Fraction of inspired oxygen, WHO-OS WHO Ordinal Scale, ICU Intensive Care Unit

Discussion

The COVID-19 pandemic spurred unprecedented biomedical research to address the health crisis. Significant focus was directed toward host susceptibility. These findings established TLR7 as a cornerstone of the innate immune response to SARS-CoV-2. Here we present the results of an in-depth analysis of TLR7 variants identified in a Spanish multicenter cohort of COVID-19 patients, finding rare TLR7 variants in 3.96% unvaccinated hospitalized cases, while no rare variants were detected in controls.

When analyzing TLR7, six rare variants were considered relevant for further research. The functional insights confirmed the pathogenicity of the N215S private variant, presenting complete LOF when stimulated with IMQs, reinforcing its deleterious role. We also describe a family carrying the hypomorphic variant D332G. This very rare variant was described previously as hypomorphic by Asano et al. Subsequently, an association study postulated that D332G appeared to be overrepresented among Spanish patients [28]. Despite its impact, the residual function of this variant may be sufficient to establish an innate immune response in hemizygous males, like our proband’s brother, who experienced only mild disease despite sharing the proband’s obesity. We identified a new private missense variant, H90Y. Nevertheless, the functional analysis suggested a likely neutral effect.

Evidence on TLR7 variants with a higher population frequency, such as V219I, A448V and R920K, is inconsistent. Variant V219I was first described as a COVID-19 susceptibility factor by Fallerini et al. [29]. When analyzed in PBMCs and in HEK293T cells, it showed a hypomorphic effect by impairing IRF7 and IFNγ mRNA expression upon stimulation with IMQs. Conversely, Asano et al. [22] found a normal TLR7 function in a HEK293T functional assay. Thereafter, Mantovani et al. [37] performed an RNA-Seq analysis on PBCMs after stimulation with IMQs and observed impaired upregulation of IFNγ. Interestingly, we identified V219I in five hospitalized Latino-ancestry males, with an allelic frequency (AF) of 0.0137 in our cohort, aligning with its frequency in the Latino/Admixed American population (MAF: 0.02602), but remaining globally rare (MAF: 0.00127) according to gnomAD. The A448V variant only presented an impaired IFNγ upregulation on PBMCs [37], while the remaining functional studies suggested no significant disruption of TLR7 function [22, 29]. Regarding R920K variant, Mantovanti et al. observed a profound impairment of TLR7 signaling pathway in PBMCs from a patient carrying the R920K variant, with a significant reduction in IFNα, IFNγ, RSAD2, ACOD1, and IFIT2 mRNA levels upon IMQ stimulation [37]. Nevertheless, functional studies performed on patient-derived PBMCs [12, 21, 29, 37] may be influenced by other genetic factors, whereas analyzing isolated variants in an in vitro model with controls allows a more precise assessment [22, 53]. Our results found a functional profile of V219I, A448V and R920K resembling to the WT.

This study highlights that the TLR7 luciferase reporter assay is a reliable and replicable method to evaluate TLR7 LOF variants. To enhance understanding of this susceptibility, functional validation of these variants is crucial. Chemical ligands, such as IMQs, effectively induce TLR7 dimerization and activation by binding to the first site [6]. Variants that significantly disrupt or enhance TLR7 function could be clearly identified using this method. Nonetheless, TLR7 acts as a dual receptor for guanosine- and uridine-containing ssRNAs [6], and a possible limitation of the TLR7 luciferase reporter assay, as proposed by Asano et al. [22] and David et al. [53], could be the potential underestimation of variants affecting the second site or generating a more physiological defect. TLR7, similar to other endosomal TLRs, is highly conserved and mutation-intolerant, as reflected by its evolutionary constrain [55] and high pLI (probability of being LOF intolerant) score [3]. This highlights the importance of functional validation of all rare variants, even those predicted to be benign by in silico tools.

TLR7, located in a non-pseudoautosomal X chromosome region, has unclear X-inactivation status. Some studies suggest that it is subjected to X-inactivation [56, 57], while others report biallelic expression in immune cells [56, 58]. With the aim of shedding some light into this controversy, we tested the hypothesis of skewed X-inactivation driving severe COVID-19 phenotype in women carrying N215S and D332G variants performing an X-chromosome inactivation assay. Our results did not indicate skewed X-inactivation in these carriers, complicating the interpretation of these variants’ impact. In women, biallelic expression has been linked to enhance TLR7-dependent immune response [56, 58], potentially explaining the protective effect of female sex against severe COVID-19. However, our analysis, performed in DNA from blood cells, could not discard a monoallelic expression defect of TLR7 in pDCs, the primary producers of type I IFNs [22], as they were unavailable for the present study. In addition, other studies hypothesize that heterozygous females may present a dominant-negative effect, in which the TLR7 affected monomer would interfere in the dimerization, thus reducing TLR7 function [28]. Further studies from different approaches are needed to fully elucidate the impact of LOF variants in women.

From our data, it can be observed that three common TLR7 variants could be potentially implicated in the development of moderate to severe disease presentation: Q11L, c.4-151A>G and c.*881C>G. These findings align with previous publications [30, 32, 33, 59], such as the study by Alseoudy et al. that reported an association between Q11L and COVID-19-related pneumonia [30]. Pre-existing data on the TLR7 Q11L variant demonstrated reduced in vitro IFN responses following TLR7 agonist administration [60, 61]. A poor IFN response in Q11L carriers was associated with an increased risk of infection and disease progression in other viral infections [6269]. The intronic variant c.*881C>G has been linked to critical COVID-19 [32, 33], and El-Hefnawy et al. postulated a possible damaging effect resulting from a TLR7-driven cytokine storm. Patients harbouring the c.*881C>G variant present TLR7 mRNA overexpression, which could trigger inflammasome and a dysregulated cytokine storm [32]. Notably, our study is the first that correlates the c.4-151A>G variant with severe COVID-19, whereas it has previously been associated with disease severity and mortality following Crimea-Congo hemorrhagic fever infection [70].

In 2022, gain-of-function (GOF) variants in TLR7 were first identified as a monogenic cause of systemic lupus erythematosus (SLE) in women [71]. Later, their phenotype description expanded to neuro-inflammatory diseases [53]. Additionally, common TLR7 variants have also been linked to SLE development [72, 73]. This dual pathogenic role highlights TLR7’s central role in type I interferon-mediated innate immune response and inflammation. Exogenous ssRNAs from viruses like SARS-CoV-2 [6, 22] and self-derived ssRNAs from disrupted cells may explain distinct mechanisms underlying two different diseases. Hence, patients with TLR7 LOF variants exhibit IFN-mediated innate immunodeficiency whereas patients with TLR7 GOF variants are predisposed to neuroinflammation and/or autoimmune diseases. Table 3 summarizes reported TLR7 variants and clinical correlations. Recently, LOF variants in UNC93B1 have been associated with severe COVID-19 susceptibility [35], whereas GOF variants in the same gene have been shown as SLE-causing [7476]. These findings underscore the relevance of the TLRs-UNC93B1 axis and endosomal trafficking in immunodeficiency and immune dysregulation [42].

Table 3.

Summary of rare TLR7 pathogenic variants and clinical phenotype reported in the literature

Gene HGVSc HGVSp Variant MAF Effect* Inheritance Clinical Phenotype References
TLR7 c.82A>G p.Arg28Gly R28G - GOF XLD Systemic Lupus Erythematous 71
c.123T>G p.Asp41Glu D41E 8.25e-7 LOF± XLR Severe COVID-19 Susceptibility 37
c.223A>C p.Asn75His N75H - LOF XLR Severe COVID-19 Susceptibility 22
c.401T>C p.Leu134Pro L134P - LOF XLR Severe COVID-19 Susceptibility 22
c.471delC p.Asn158Thrfs*11 N158 Tfs11* - LOF XLR Severe COVID-19 Susceptibility 22
c.644A>G p.Asn215Ser N215S - LOF XLR Severe COVID-19 Susceptibility 21
c.655G>A p.Val219Ile V219I 1.27e-3 Hypomorphic/Neutral XLR Severe COVID-19 Susceptibility 22,29
c.680delT p.Leu227fs* L227fs* - LOF XLR Severe COVID-19 Susceptibility 22
c.730G>T p.Asp244Tyr D244Y - LOF XLR Severe COVID-19 Susceptibility 22
c.790T>C p.Tyr264His Y264H - GOF XLD Systemic Lupus Erythematous 71
c.863C>T p.Ala288Val A288V 2.15e-5 Hypomorphic/Neutral XLR Severe COVID-19 Susceptibility 22,29
c.901T>C p.Ser301Pro S301P - LOF XLR Severe COVID-19 Susceptibility 22,29
c.928T>C p.Phe310Leu F310L - LOF XLR Severe COVID-19 Susceptibility 22
c.995A>G p.Asp332Gly D332G 7.44e-6 Hypomorphic XLR Severe COVID-19 Susceptibility 22
c.1114C>T p.Leu372Met L372M - Hypomorphic XLR Severe COVID-19 Susceptibility 22
c.1343C>T p.Ala448Val A448V 4.16e-3

Hypomorphic/

Neutral

XLR Severe COVID-19 Susceptibility 22,29
c.1286_1389dup p.His464Ilefs*7 H464Ifs*7 - Not performed XLR Post-COVID-19 neurological deterioration 39
c.1514T>C p.Ile505Thr I505T 8.26e-7 LOF XLR Severe COVID-19 Susceptibility 22
c.1520T>C p.Phe507Ser F507S - GOF XLD Systemic Lupus Erythematous/Aicardi-Goutières Syndrome 53
c.1521T>G p.Phe507Leu F507L - GOF XLD Systemic Lupus Erythematous 53,71
c.1582C>A p.Leu528Ile L528I - GOF XLD Systemic Lupus Erythematous/Aicardi-Goutières Syndrome 53
c.1888C>T p.His630Tyr H630Y - LOF XLR Severe COVID-19 Susceptibility 22,29
c.1970T>C p.Ile657Thr I657T - LOF XLR Severe COVID-19 Susceptibility 22

c.2010_2011del

;2013_2014insC

p.Phe670Leufs*8 F670Lfs*8 - LOF XLR Severe COVID-19 Susceptibility 22
c.2050A>T p.Lys684* K684* - LOF XLR Severe COVID-19 Susceptibility 22
c.2129_2132delAACT p.Gln710 Argfs*18 Q710Rfs*18 - LOF XLR Severe COVID-19 Susceptibility 12,22
c.2143C>T p.Pro715Ser P715S - Hypomorphic XLR Severe COVID-19 Susceptibility 22
c.2342A>T p.His781Leu H781L - LOF XLR Severe COVID-19 Susceptibility 22
c.2383G>T p.Val795Phe V795F - LOF XLR Severe COVID-19 Susceptibility 12,22
c.2759G>A p.Arg920Lys R920K 1.19e-4 LOF±/Neutral XLR Severe COVID-19 Susceptibility 22,29,37
c.2797T>C p.Trp933Arg W933R - LOF± XLR Severe COVID-19 Susceptibility 21
c.2963T>C p.Leu988Ser L988S 2.23e-5 LOF XLR Severe COVID-19 Susceptibility 22
c.3094G>A p.Ala1032Thr A1032T 5.63e-4 LOF/Neutral XLR Severe COVID-19 Susceptibility 22,29

MAF minor variant allele frequency according to gnomAD v4; *Based on published functional studies. ± Functional validation was performed only in PBMCs

Our study faces limitations, such as a smaller control sample of SARS-CoV2-infected patients without a healthy volunteer group, and the broad phenotypic variability within the cases. However, its strengths outweigh these constraints. Comprehensive TLR7 sequencing, along with a detailed analysis of both common and rare variants, provide valuable insights. The study’s reliability is further reinforced by precise clinical characterization and the exclusion of AAN-IFN-I. Although SARS-CoV-2 serologies were not performed in all patients to rule out prior asymptomatic infections or cross-immunity, patient classification as naïve or primo-infected was conducted thoroughly and consistently based on medical records.

Conclusions

In summary, our study establishes a compelling link between TLR7 LOF variants in men and increased susceptibility to severe COVID-19, exemplified by the N215S variant, which completely abolishes signal transduction upon stimulation. We validate the luciferase reporter assay as a robust and reproducible platform for characterizing the functional impact of TLR7 variants. Additionally, we identify associations between several common TLR7 variants and the development of moderate to severe COVID-19 presentations. Collectively, our findings position TLR7 as a critical genetic determinant of disease severity and a strong candidate for further investigation in the context of RNA-virus-associated pathologies. These insights have broad implications for understanding individual variability in disease outcomes and may inform future strategies for genetic screening, risk assessment, and the development of targeted therapeutic interventions.

Supplementary Information

Below is the link to the electronic supplementary material.

ESM 1 (420.5KB, png)

(PNG 420 KB)

ESM 2 (155.9KB, png)

(PNG 155 KB)

Acknowledgements

We want to specially acknowledge patients and their families for their collaboration, and the Cohorte COVID from IISGS. We also want to acknowledge IISGS Biobank and HUB-ICO-IDIBELL (PT20/00171) Biobank both integrated in the ISCIII Biobanks and Biomodels Platform for their collaboration. We want to thank CERCA Programm, Generalitat de Catalunya for institutional support. We also wish to thank all the members of the genetic testing laboratories and genetic counseling units of all the participant groups.

Author Contributions

AA, GV-P, XS, CL devised the study. PR, JV-E, JV, LF provided input on the study design and procedures. AA, XS, AP-G and EP assisted in patient management and sample obtention. AA, PR, JG-V and AS-F performed the sequencing procedures and functional assays and analysis. EM, RM and AL-D had full access to all data and take responsibility for the integrity and the accuracy of the data. AA, GV-P and CL drafted the manuscript. All the authors contributed to the article and approved the submitted version.

Funding

Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work has been possible thanks to the support of La Marató de TV3 foundation (Grant numbers 202115–30 and 202115–31). This work also received support from GILEAD research grant (GLD22/00128) and the contribution of Carlos III National Health Institute and Ministerio de Ciencia e Innovación, European Regional Development Fund [PI23/00651, PI23/00017, PI19/00553]; CIBERONC [CB16/12/00234]; IMP/00009 and PMPER24/00002; the Government of Catalonia [Pla estratègic de recerca i innovació en salut (PERIS), by the Department of Research and Universities of the Generalitat de Catalunya and AGAUR (2021SGR01112); 2023 INV-2 00035 (200035 TG2).

Data Availability

No datasets were generated or analysed during the current study.

Declarations

Ethics Approval

The study involving human participants was reviewed and approved by Bellvitge University Hospital Research Ethics Committee (approval number PR040/21). The patients/participants provided their written informed consent to participate in this study, and for the publication of any data included in this article.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Gardenia Vargas-Parra and Angels Sierra-Fortuny contributed equally and share second authorship.

Xavier Solanich and Conxi Lázaro contributed equally and should be considered senior co-authors.

References

  • 1.Du X, Poltorak A, Wei Y, Beutler B. Three novel mammalian toll-like receptors: gene structure, expression, and evolution. Eur Cytokine Netw. 2000;11(3):362–71. [PubMed] [Google Scholar]
  • 2.Chuang TH, Ulevitch RJ. Cloning and characterization of a sub-family of human Toll-like receptors: hTLR7, hTLR8 and hTLR9. Eur Cytokine Netw. 2000;11(3):372–8. [PubMed] [Google Scholar]
  • 3.Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, et al. A genomic mutational constraint map using variation in 76,156 human genomes. Nature. 2024;625(7993):92–100. 10.1038/s41586-023-06045-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Medzhitov R, Janeway C Jr. Innate immune recognition: mechanisms and pathways. Immunol Rev. 2000;173:89–97. 10.1034/j.1600-065x.2000.917309.x. [DOI] [PubMed] [Google Scholar]
  • 5.Hemmi H, Kaisho T, Takeuchi O, Sato S, Sanjo H, Hoshino K, et al. Small anti-viral compounds activate immune cells via the TLR7 MyD88-dependent signaling pathway. Nat Immunol. 2002;3(2):196–200. 10.1038/ni758. [DOI] [PubMed] [Google Scholar]
  • 6.Zhang Z, Ohto U, Shibata T, Krayukhina E, Taoka M, Yamauchi Y, et al. Structural analysis reveals that toll-like receptor 7 is a dual receptor for guanosine and single-stranded RNA. Immunity. 2016;45(4):737–48. 10.1016/j.immuni.2016.09.011. [DOI] [PubMed] [Google Scholar]
  • 7.Heil F, Hemmi H, Hochrein H, Ampenberger F, Kirschning C, Akira S, et al. Species-specific recognition of single-stranded RNA via toll-like receptor 7 and 8. Science. 2004;303(5663):1526–9. 10.1126/science.1093620. [DOI] [PubMed] [Google Scholar]
  • 8.Diebold SS, Kaisho T, Hemmi H, Akira S, Reis e Sousa C. Innate antiviral responses by means of TLR7-mediated recognition of single-stranded RNA. Science. 2004;303(5663):1529–31. 10.1126/science.1093616. [DOI] [PubMed] [Google Scholar]
  • 9.Lund JM, Alexopoulou L, Sato A, Karow M, Adams NC, Gale NW, et al. Recognition of single-stranded RNA viruses by Toll-like receptor 7. Proc Natl Acad Sci U S A. 2004;101(15):5598–603. 10.1073/pnas.0400937101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Bérouti M, Lammens K, Heiss M, Hansbauer L, Bauernfried S, Stöckl J, et al. Lysosomal endonuclease RNase T2 and PLD exonucleases cooperatively generate RNA ligands for TLR7 activation. Immunity. 2024;57(7):1482-1496.e8. 10.1016/j.immuni.2024.04.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Ekimoto T, Nomura M, Saito Y, Suzuki M, Yamane T, Zhang Z, et al. Synergistic activation of TLR7 and 8 mediated by reduction of electrostatic repulsion. Chem Pharm Bull (Tokyo). 2024;72(11):1005–13. 10.1248/cpb.c24-00409. [DOI] [PubMed] [Google Scholar]
  • 12.Van der Made CI, Simons A, Schuurs-Hoeijmakers J, van den Heuvel G, Mantere T, Kersten S, et al. Presence of genetic variants among young men with severe COVID-19. JAMA. 2020;324(7):663–73. 10.1001/jama.2020.13719. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. 2020;382(8):727–33. 10.1056/NEJMoa2001017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Wu F, Zhao S, Yu B, Chen YM, Wang W, Song ZG, et al. A new coronavirus associated with human respiratory disease in China. Nature. 2020;579(7798):265–9. 10.1038/s41586-020-2008-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.WHO chief declares end to COVID-19 as a global health emergency | UN News [Internet]. Available from: https://news.un.org/en/story/2023/05/1136367
  • 16.Ricoca Peixoto V, Vieira A, Aguiar P, Sousa P, Carvalho C, Thomas D, et al. Determinants for hospitalisations, intensive care unit admission and death among 20,293 reported COVID-19 cases in Portugal, March to April 2020. Euro Surveill. 2021;26(33):2001059. 10.2807/1560-7917.ES.2021.26.33.2001059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.O’Driscoll M, Ribeiro Dos Santos G, Wang L, Cummings DAT, Azman AS, Paireau J, et al. Age-specific mortality and immunity patterns of SARS-CoV-2. Nature. 2021;590(7844):140–5. 10.1038/s41586-020-2918-0. [DOI] [PubMed] [Google Scholar]
  • 18.Navaratnam AV, Gray WK, Day J, Wendon J, Briggs TWR. Patient factors and temporal trends associated with COVID-19 in-hospital mortality in England: an observational study using administrative data. Lancet Respir Med. 2021;9(4):397–406. 10.1016/S2213-2600(20)30579-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.COVID-19 Death Data and Resources - National Vital Statistics System [Internet]. Available from: https://www.cdc.gov/nchs/nvss/covid-19.htm
  • 20.Underlying Conditions and the Higher Risk for Severe COVID-19 | COVID-19 | CDC [Internet]. Available from: https://www.cdc.gov/covid/hcp/clinical-care/underlying-conditions.html
  • 21.Solanich X, Vargas-Parra G, van der Made CI, Simons A, Schuurs-Hoeijmakers J, Antolí A, et al. Genetic Screening for TLR7 Variants in Young and Previously Healthy Men With Severe COVID-19. Front Immunol. 2021;23(12):719115. 10.3389/fimmu.2021.719115. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Asano T, Boisson B, Onodi F, Matuozzo D, Moncada-Velez M, Maglorius Renkilaraj MRL. X-linked recessive TLR7 deficiency in ~1% of men under 60 years old with life-threatening COVID-19. Sci Immunol. 2021;6(62):eabl4348. 10.1126/sciimmunol.abl4348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Tangye SG, Al-Herz W, Bousfiha A, Cunningham-Rundles C, Franco JL, Holland SM, et al. Human inborn errors of immunity: 2022 update on the classification from the international union of immunological societies expert committee. J Clin Immunol. 2022;42(7):1473–507. 10.1007/s10875-022-01289-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Bousfiha A, Moundir A, Tangye SG, Picard C, Jeddane L, Al-Herz W, et al. The 2022 update of IUIS phenotypical classification for human inborn errors of immunity. J Clin Immunol. 2022;42(7):1508–20. 10.1007/s10875-022-01352-z. [DOI] [PubMed] [Google Scholar]
  • 25.Kosmicki JA, Horowitz JE, Banerjee N, Lanche R, Marcketta A, Maxwell E, et al. Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals. Am J Hum Genet. 2021;108(7):1350–5. 10.1016/j.ajhg.2021.05.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Matuozzo D, Talouarn E, Marchal A, Zhang P, Manry J, Seeleuthner Y, et al. Rare predicted loss-of-function variants of type I IFN immunity genes are associated with life-threatening COVID-19. Genome Med. 2023;15(1):22. 10.1186/s13073-023-01173-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Butler-Laporte G, Povysil G, Kosmicki JA, Cirulli ET, Drivas T, Furini S, et al. Exome-wide association study to identify rare variants influencing COVID-19 outcomes: Results from the host genetics initiative. PLoS Genet. 2022;18(11):e1010367. 10.1371/journal.pgen.1010367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Boos J, van der Made CI, Ramakrishnan G, Coughlan E, Asselta R, Löscher BS, et al. Stratified analyses refine association between TLR7 rare variants and severe COVID-19. HGG Adv. 2024;5(4):100323. 10.1016/j.xhgg.2024.100323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Fallerini C, Daga S, Mantovani S, Benetti E, Picchiotti N, Francisci D, et al. Association of Toll-like receptor 7 variants with life-threatening COVID-19 disease in males: findings from a nested case-control study. Elife. 2021;2(10):e67569. 10.7554/eLife.67569. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Alseoudy MM, Elgamal M, Abdelghany DA, Borg AM, El-Mesery A, Elzeiny D, et al. Prognostic impact of toll-like receptors gene polymorphism on outcome of COVID-19 pneumonia: A case-control study. Clin Immunol. 2022;235:108929. 10.1016/j.clim.2022.108929. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Al-Tamimi ZHD, Alta’ee AH, Jasim AH. Effect of toll-like receptor 7 gene polymorphism and ABO blood groups on the severity of COVID-19 patients. Acta Inform Med. 2022;30(3):191–5. 10.5455/aim.2022.30.191-195. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.El-Hefnawy SM, Eid HA, Mostafa RG, Soliman SS, Omar TA, Azmy RM. COVID-19 susceptibility, severity, clinical outcome and Toll-like receptor (7) mRNA expression driven by TLR7 gene polymorphism (rs3853839) in middle-aged individuals without previous comorbidities. Gene Rep. 2022;27:101612. 10.1016/j.genrep.2022.101612. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Martínez-Gómez LE, Martinez-Armenta C, Medina-Luna D, Ordoñez-Sánchez ML, Tusie-Luna T, Ortega-Peña S, et al. Implication of myddosome complex genetic variants in outcome severity of COVID-19 patients. J Microbiol Immunol Infect. 2023;56(5):939–50. 10.1016/j.jmii.2023.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Bagci G, Gundogdu O, Pektas AN, Bagci B, Avci O, Gursoy S, et al. The investigation of host genetic variants of toll-like receptor 7 and 8 in COVID-19. Nucleosides Nucleotides Nucleic Acids. 2023;42(8):586–602. 10.1080/15257770.2023.2176515. [DOI] [PubMed] [Google Scholar]
  • 35.Zhang Q, Bastard P, Liu Z, Le Pen J, Moncada-Velez M, Chen J, et al. Inborn errors of type I IFN immunity in patients with life-threatening COVID-19. Science. 2020;370(6515):eabd4570. 10.1126/science.abd4570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Severe Covid-19 GWAS Group, Ellinghaus D, Degenhardt F, Bujanda L, Buti M, Albillos A, et al. Genomewide association study of severe covid-19 with respiratory failure. N Engl J Med. 2020;383(16):1522–34. 10.1056/NEJMoa2020283. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Mantovani S, Daga S, Fallerini C, Baldassarri M, Benetti E, Picchiotti N, et al. Rare variants in Toll-like receptor 7 results in functional impairment and downregulation of cytokine-mediated signaling in COVID-19 patients. Genes Immun. 2022;23(1):51–6. 10.1038/s41435-021-00157-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Zhang Q, Matuozzo D, Le Pen J, Lee D, Moens L, Asano T, et al. Recessive inborn errors of type I IFN immunity in children with COVID-19 pneumonia. J Exp Med. 2022;219(8):e20220131. 10.1084/jem.20220131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Noor Eddin A, Al-Rimawi M, Peer-Zada F, Hundallah K, Alhashem A. Novel TLR7 hemizygous variant in post-COVID-19 neurological deterioration: a case report with literature review. Front Neurol. 2023;29(14):1268035. 10.3389/fneur.2023.1268035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Van der Made CI, Netea MG, van der Veerdonk FL, Hoischen A. Clinical implications of host genetic variation and susceptibility to severe or critical COVID-19. Genome Med. 2022;14(1):96. 10.1186/s13073-022-01100-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Sette A, Crotty S. Adaptive immunity to SARS-CoV-2 and COVID-19. Cell. 2021;184(4):861–80. 10.1016/j.cell.2021.01.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Taft J, Bogunovic D. Traffic on the TLR expressway. J Exp Med. 2024;221(8):e20240841. 10.1084/jem.20240841. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Chen S, Zhou Y, Chen Y, Gu J. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics. 2018;34(17):i884–90. 10.1093/bioinformatics/bty560. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Li H. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. 2013. Available from: http://arxiv.org/abs/1303.3997
  • 45.DePristo MA, Banks E, Poplin R, Garimella KV, Maguire JR, Hartl C, et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet. 2011;43(5):491–8. 10.1038/ng.806. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, et al. The genome analysis toolkit: a mapreduce framework for analyzing next-generation dna sequencing data. Genome Res. 2010;20(9):1297–303. 10.1101/gr.107524.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.McLaren W, Gil L, Hunt SE, Riat HS, Ritchie GR, Thormann A, Flicek P, Cunningham F. The Ensembl Variant Effect Predictor. Genome Biol. 2016;17(1):122. 10.1186/s13059-016-0974-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Wang K, Li M, Hakonarson H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010;38(16):e164. 10.1093/nar/gkq603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Cingolani P, Platts A, le Wang L, Coon M, Nguyen T, Wang L, et al. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly (Austin). 2012;6(2):80–92. 10.4161/fly.19695. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Babraham Bioinformatics - FastQC A Quality Control tool for High Throughput Sequence Data [Internet]. Available from: https://www.bioinformatics.babraham.ac.uk/projects/fastqc/
  • 51.Pedersen BS, Quinlan AR. Mosdepth: quick coverage calculation for genomes and exomes. Bioinformatics. 2018;34(5):867–8. 10.1093/bioinformatics/btx699. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Ewels P, Magnusson M, Lundin S, Käller M. MultiQC: summarize analysis results for multiple tools and samples in a single report. Bioinformatics. 2016;32(19):3047–8. 10.1093/bioinformatics/btw354. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.David C, Badonyi M, Kechiche R, Insalaco A, Zecca M, De Benedetti F, et al. Interface gain-of-function mutations in TLR7 cause systemic and neuro-inflammatory disease. J Clin Immunol. 2024;44(2):60. 10.1007/s10875-024-01660-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Allen RC, Zoghbi HY, Moseley AB, Rosenblatt HM, Belmont JW. Methylation of HpaII and HhaI sites near the polymorphic CAG repeat in the human androgen-receptor gene correlates with X chromosome inactivation. Am J Hum Genet. 1992;51(6):1229–39. [PMC free article] [PubMed] [Google Scholar]
  • 55.Casanova JL, Abel L, Quintana-Murci L. Human TLRs and IL-1Rs in host defense: natural insights from evolutionary, epidemiological, and clinical genetics. Annu Rev Immunol. 2011;29:447–91. 10.1146/annurev-immunol-030409-101335. [DOI] [PubMed] [Google Scholar]
  • 56.Chakravarty S. COVID-19: The effect of host genetic variations on host-virus interactions. J Proteome Res. 2021;20(1):139–53. 10.1021/acs.jproteome.0c00637. [DOI] [PubMed] [Google Scholar]
  • 57.Tukiainen T, Villani AC, Yen A, Rivas MA, Marshall JL, Satija R, et al. Landscape of X chromosome inactivation across human tissues. Nature. 2017;550(7675):244–8. 10.1038/nature24265. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Souyris M, Cenac C, Azar P, Daviaud D, Canivet A, Grunenwald S, et al. TLR7 escapes X chromosome inactivation in immune cells. Sci Immunol. 2018;3(19):eaap8855. 10.1126/sciimmunol.aap8855. [DOI] [PubMed] [Google Scholar]
  • 59.Minashkin MM, Grigortsevich NY, Kamaeva AS, Barzanova VV, Traspov AA, Godkov MA, et al. The role of genetic factors in the development of acute respiratory viral infection COVID-19: predicting severe course and outcomes. Biomedicines. 2022;10(3):549. 10.3390/biomedicines10030549. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Oh DY, Baumann K, Hamouda O, Eckert JK, Neumann K, Kücherer C, et al. A frequent functional toll-like receptor 7 polymorphism is associated with accelerated HIV-1 disease progression. AIDS. 2009;23(3):297–307. 10.1097/QAD.0b013e32831fb540. [DOI] [PubMed] [Google Scholar]
  • 61.Azar P, Mejía JE, Cenac C, Shaiykova A, Youness A, Laffont S, et al. TLR7 dosage polymorphism shapes interferogenesis and HIV-1 acute viremia in women. JCI Insight. 2020;5(12):e136047. 10.1172/jci.insight.136047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Shi H, He H, Sun C, Fu J, Ghosh D, Deng C, Sheng Y. Association of toll-like receptor polymorphisms with acquisition of HIV infection and clinical findings: A protocol for systematic review and meta-analysis. Medicine (Baltimore). 2020;99(52):e23663. 10.1097/MD.0000000000023663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.El-Bendary M, Neamatallah M, Elalfy H, Besheer T, Elkholi A, El-Diasty M, et al. The association of single nucleotide polymorphisms of Toll-like receptor 3, Toll-like receptor 7 and Toll-like receptor 8 genes with the susceptibility to HCV infection. Br J Biomed Sci. 2018;75(4):175–81. 10.1080/09674845.2018.1492186. [DOI] [PubMed] [Google Scholar]
  • 64.Buschow SI, Biesta PJ, Groothuismink ZMA, Erler NS, Vanwolleghem T, Ho E, et al. TLR7 polymorphism, sex and chronic HBV infection influence plasmacytoid DC maturation by TLR7 ligands. Antiviral Res. 2018;157:27–37. 10.1016/j.antiviral.2018.06.015. [DOI] [PubMed] [Google Scholar]
  • 65.Mhandire DZ, Mhandire K, Magadze M, Wonkam A, Kengne AP, Dandara C. Genetic variation in toll like receptors 2, 7, 9 and interleukin-6 is associated with cytomegalovirus infection in late pregnancy. BMC Med Genet. 2020;21(1):113. 10.1186/s12881-020-01044-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Mukherjee S, Tripathi A. Contribution of Toll like receptor polymorphisms to dengue susceptibility and clinical outcome among eastern Indian patients. Immunobiology. 2019;224(6):774–85. 10.1016/j.imbio.2019.08.009. [DOI] [PubMed] [Google Scholar]
  • 67.Singh AK, Prakash S, Garg RK, Jain P, Kumar R, Jain A. Study of single nucleotide polymorphisms in endosomal toll-like receptors-3, 7, and 9 genes in patients with dengue: a case-control study. Cureus. 2021;13(5):e14883. 10.7759/cureus.14883. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Sengupta S, Mukherjee S, Bhattacharya N, Tripathi A. Differential genotypic signatures of Toll-like receptor polymorphisms among dengue-chikungunya mono- and co-infected Eastern Indian patients. Eur J Clin Microbiol Infect Dis. 2021;40(7):1369–81. 10.1007/s10096-020-04125-x. [DOI] [PubMed] [Google Scholar]
  • 69.Lauhkonen E, Koponen P, Vuononvirta J, Teräsjärvi J, Nuolivirta K, Toikka JO, et al. Gene Polymorphism of Toll-Like Receptors and Lung Function at Five to Seven Years of Age after Infant Bronchiolitis. PLoS ONE. 2016;11(1):e0146526. 10.1371/journal.pone.0146526. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Arslan S, Engin A, Özbilüm N, Bakır M. Toll-like receptor 7 Gln11Leu, c.4–151A/G, and +1817G/T polymorphisms in Crimean Congo hemorrhagic fever. J Med Virol. 2015;87(7):1090–5. 10.1002/jmv.24174. [DOI] [PubMed] [Google Scholar]
  • 71.Brown GJ, Cañete PF, Wang H, Medhavy A, Bones J, Roco JA, et al. TLR7 gain-of-function genetic variation causes human lupus. Nature. 2022;605(7909):349–56. 10.1038/s41586-022-04642-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Kawasaki A, Furukawa H, Kondo Y, Ito S, Hayashi T, Kusaoi M, et al. TLR7 single-nucleotide polymorphisms in the 3’ untranslated region and intron 2 independently contribute to systemic lupus erythematosus in Japanese women: a case-control association study. Arthritis Res Ther. 2011;13(2):R41. 10.1186/ar3277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Shen N, Fu Q, Deng Y, Qian X, Zhao J, Kaufman KM, et al. Sex-specific association of X-linked Toll-like receptor 7 (TLR7) with male systemic lupus erythematosus. Proc Natl Acad Sci U S A. 2010;107(36):15838–43. 10.1073/pnas.1001337107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Wolf C, Lim EL, Mokhtari M, Kind B, Odainic A, Lara-Villacanas E, et al. UNC93B1 variants underlie TLR7-dependent autoimmunity. Sci Immunol. 2024;9(92):eadi9769. 10.1126/sciimmunol.adi9769. [DOI] [PubMed] [Google Scholar]
  • 75.David C, Arango-Franco CA, Badonyi M, Fouchet J, Rice GI, Didry-Barca B, et al. Gain-of-function human UNC93B1 variants cause systemic lupus erythematosus and chilblain lupus. J Exp Med. 2024;221(8):e20232066. 10.1084/jem.20232066. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Al-Azab M, Idiiatullina E, Liu Z, Lin M, Hrovat-Schaale K, Xian H, et al. Genetic variants in UNC93B1 predispose to childhood-onset systemic lupus erythematosus. Nat Immunol. 2024;25(6):969–80. 10.1038/s41590-024-01846-5. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

ESM 1 (420.5KB, png)

(PNG 420 KB)

ESM 2 (155.9KB, png)

(PNG 155 KB)

Data Availability Statement

No datasets were generated or analysed during the current study.


Articles from Journal of Clinical Immunology are provided here courtesy of Springer

RESOURCES