| Literature DB >> 31637221 |
Belson Rugwizangoga1,2, Maria E Andersson3, Jean-Claude Kabayiza3,4, Malin S Nilsson1, Brynja Ármannsdóttir3, Johan Aurelius1, Staffan Nilsson5,6, Kristoffer Hellstrand1,3, Magnus Lindh3, Anna Martner1.
Abstract
Polymorphisms in the interferon lambda gene locus (IFNL) such as the IFNL4 genetic variants rs12979860 and rs368234815 are predictive of resolution of hepatitis C virus infection, but information about the impact of these variants in other infections is scarce. This study aimed at determining the potential impact of IFNL4 variation for the clearance of respiratory tract pathogens in Rwandan children (≤5 years old, n = 480) seeking medical care for acute respiratory infections. Nasopharyngeal swabs were retrieved from all children at the first hospital referral and from 161 children at follow-up visits 2 weeks later. The swabs were analyzed for pathogens by real-time PCR and for host cell IFNL4 genotype at rs12979860 and rs368234815. Approximately 1/3 of the children were homozygous for the rs12979860 T allele and the rs368234815 ΔG allele, which are overrepresented in subjects of African descent. These IFNL4 variants were significantly associated with reduced clearance of RNA viruses. Our results suggest that IFNL4 genotypes that are common among subjects of African descent may determine inefficacious clearance of RNA viruses from the respiratory tract.Entities:
Keywords: RNA virus; dinucleotide polymorphisms; infection; interferon lambda; rs12979860; rs368234815; single nucleotide polymorphisms; upper respiratory tract
Mesh:
Substances:
Year: 2019 PMID: 31637221 PMCID: PMC6787560 DOI: 10.3389/fcimb.2019.00340
Source DB: PubMed Journal: Front Cell Infect Microbiol ISSN: 2235-2988 Impact factor: 5.293
Patients and disease characteristics.
| Male | 256 | 54.4 |
| Female | 215 | 45.6 |
| <1 | 130 | 27.3 |
| 1–3 | 241 | 50.5 |
| >3–5 | 106 | 22.2 |
| History of atopy ( | 25 | 15.7 |
| Fever ( | 148 | 91.9 |
| Cough ( | 158 | 98.1 |
| Sore throat ( | 10 | 6.3 |
| Running nose ( | 126 | 78.3 |
| Dyspnea ( | 5 | 3.1 |
| Hospital admission ( | 91 | 28.8 |
| Recovered | 210 | 99.1 |
| Deceased | 2 | 0.9 |
| Enterovirus | 102 | 21.2 |
| Rhinovirus | 181 | 37.7 |
| Coronavirus | 18 | 3.8 |
| Influenza A virus | 33 | 6.9 |
| Influenza B virus | 27 | 5.6 |
| HPIV | 21 | 4.4 |
| RSV | 85 | 17.7 |
| Morbillivirus | 7 | 1.5 |
| HMPV | 23 | 4.8 |
| Bocaparvovirus | 4 | 0.8 |
| Adenovirus | 42 | 8.8 |
| | 50 | 10.4 |
| | 348 | 72.5 |
| | 394 | 82.0 |
| Single pathogen | 73 | 15.2 |
| Multiple pathogens | 407 | 84.8 |
| Yes | 161 | 33.5 |
| No | 319 | 66.5 |
ss(+), single-stranded(+).
ss(–), single-stranded(–).
HPIV, human parainfluenza virus; RSV, respiratory syncytial virus; HMPV, human metapneumovirus.
Distribution of IFNL4 genetic variants.
| 0.94 | |||
| CC | 86 | 18.0 | |
| CT | 234 | 49.1 | |
| TT | 157 | 32.9 | |
| C | 42.6 | ||
| T | 57.4 | ||
| 0.38 | |||
| TT/TT | 22 | 14.1 | |
| TT/ΔG | 80 | 51.3 | |
| ΔG/ΔG | 54 | 34.6 | |
| TT | 39.7 | ||
| ΔG | 60.3 | ||
If P ≥ 0.05, genotype frequencies are consistent with Hardy-Weinberg equilibrium (HWE).
Figure 1Respiratory RNA virus clearance vs. rs12979860 genotypes. Nasopharyngeal swabs were collected from 161 Rwandan children aged 0–5 years seen at health facilities for respiratory infections at an initial visit and at a follow-up visit 2 weeks later. Swabs were analyzed for microbial content using real-time PCR. Two samples could not be analyzed, and 159 patients were thus stratified based on IFN-λ rs12979860 genotype. Results show the proportion of patients within each genotype who cleared (A) all analyzed RNA viruses (i.e., enterovirus, rhinovirus, coronavirus, influenza A virus, influenza B virus, parainfluenzavirus, RSV, morbillivirus, and metapneumovirus), (B) all ss(+)RNA viruses (i.e., enterovirus, rhinovirus, coronavirus), (C) enterovirus, and (D) rhinovirus. Statistical analysis was performed using the Chi-square test for trend.
Association between IFNL4 rs12979860 and rs368234815 genotypes with clearance of upper respiratory tract pathogens.
| CC | 13 | 10 | 9 | 8 | 6 | 3 | 7 | 8 | 1 | 0 | 3 | 25 |
| CT | 31 | 34 | 17 | 28 | 14 | 10 | 9 | 26 | 9 | 1 | 1 | 76 |
| TT | 11 | 33 | 9 | 29 | 7 | 12 | 9 | 25 | 7 | 1 | 2 | 51 |
| 0.1 | 0.2 | 0.7 | 0.3 | |||||||||
| OR (95% CI) | 2.1 (1.2, 3.5) | 1.9 (1.1,3.5) | 2.0 (0.9, 4.4) | 1.5 (0.8, 2.8) | 1.6 (0.1, 22) | 2.0 (0.6,6.4) | ||||||
| OR (95% CI) | 2.0 (1.2, 3.5) | 1.8 (1.0, 3.3) | 2.1 (0.9, 5.0) | 1.5 (0.8, 2.8) | 1.6 (0.1, 24) | 2.0 (0.6,6.7) | ||||||
| TT/TT | 8 | 10 | 6 | 8 | 3 | 3 | 4 | 8 | 1 | 0 | 2 | 20 |
| TT/ΔG | 34 | 33 | 20 | 27 | 17 | 9 | 12 | 25 | 9 | 1 | 1 | 79 |
| ΔG/ΔG | 13 | 31 | 8 | 28 | 6 | 11 | 7 | 25 | 6 | 1 | 3 | 51 |
| 0.1 | 0.08 | 0.2 | 0.3 | 0.7 | 0.9 | |||||||
| OR (95% CI) | 1.6 (0.9, 2.7) | 1.8 (0.9, 3.3) | 1.8 (0.7, 4.4) | 1.4 (0.7, 2.8) | 1.8 (0.1, 26) | 1.1 (0.3, 3.7) | ||||||
| OR (95% CI) | 1.5 (0.9, 2.6) | 1.6 (0.9, 3.1) | 1.9 (0.7, 4.9) | 1.4 (0.7, 2.8) | 1.7 (0.1, 27) | 1.1 (0.3, 3.8) | ||||||
P-values from logistic regression.
OR, odds ratio per C allele for rs12979860 and TT allele for rs368234815; CI, confidence interval.
Including age and gender as predictors.