scholarly journals Role of the Host Genetic Susceptibility to 2009 Pandemic Influenza A H1N1

Viruses ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 344
Author(s):  
Gloria Pérez-Rubio ◽  
Marco Antonio Ponce-Gallegos ◽  
Bruno André Domínguez-Mazzocco ◽  
Jaime Ponce-Gallegos ◽  
Román Alejandro García-Ramírez ◽  
...  

Influenza A virus (IAV) is the most common infectious agent in humans, and infects approximately 10–20% of the world’s population, resulting in 3–5 million hospitalizations per year. A scientific literature search was performed using the PubMed database and the Medical Subject Headings (MeSH) “Influenza A H1N1” and “Genetic susceptibility”. Due to the amount of information and evidence about genetic susceptibility generated from the studies carried out in the last influenza A H1N1 pandemic, studies published between January 2009 to May 2020 were considered; 119 papers were found. Several pathways are involved in the host defense against IAV infection (innate immune response, pro-inflammatory cytokines, chemokines, complement activation, and HLA molecules participating in viral antigen presentation). On the other hand, single nucleotide polymorphisms (SNPs) are a type of variation involving the change of a single base pair that can mean that encoded proteins do not carry out their functions properly, allowing higher viral replication and abnormal host response to infection, such as a cytokine storm. Some of the most studied SNPs associated with IAV infection genetic susceptibility are located in the FCGR2A, C1QBP, CD55, and RPAIN genes, affecting host immune responses through abnormal complement activation. Also, SNPs in IFITM3 (which participates in endosomes and lysosomes fusion) represent some of the most critical polymorphisms associated with IAV infection, suggesting an ineffective virus clearance. Regarding inflammatory response genes, single nucleotide variants in IL1B, TNF, LTA IL17A, IL8, IL6, IRAK2, PIK3CG, and HLA complex are associated with altered phenotype in pro-inflammatory molecules, participating in IAV infection and the severest form of the disease.

2021 ◽  
Author(s):  
Nicolae Sapoval ◽  
P. Jacob Bueno de Mesquita ◽  
Yunxi Liu ◽  
Roger Wang ◽  
Tian Rui Liu ◽  
...  

Motivation. Influenza is a rapidly mutating RNA virus responsible for annual epidemics causing substantial morbidity, mortality, and economic loss. Characterizing influenza virus mutational diversity and evolutionary processes within and between human hosts can provide tools to help track and understand transmission events. In this study we investigated possible differences between the intrahost genomic content of influenza virus in upper respiratory swabs and exhaled aerosols thought to be enriched for virus from the lower respiratory tract. Results. We examined the sequences of specimens collected from influenza A virus (IAV) infected college community members from December 2012 through May 2013. We analyzed four types of IAV samples μm aerosols (N=38), coarse >5μm aerosols (N=27), nasopharyngeal (N=53), and oropharyngeal swabs (N=47)) collected from 42 study participants with 60 sampling instances. Eighteen (42.9%) participants had data from four sample types (nasopharyngeal swab, oropharyngeal swab, coarse aerosol, fine aerosol) included in the analysis, 10 (23.8%) had data from 3 sample types, 10 (23.8%) had data from 2 sample types, and 4 (9.5%) had data from one type of sample included in the analysis. We found that 481 (53.3%) consensus single nucleotide polymorphisms are shared by all sample types and 600 (66.5%) are shared by at least three different sample types. We observed that within a single patient consensus and non-consensus single nucleotide variants are shared across all sample types. Finally, we inferred a phylogenetic tree using consensus sequences and found that samples derived from a single patient are monophyletic. Conclusions. Single nucleotide polymorphisms did not differentiate between samples with varying origin along the respiratory tree. We found that signatures of variation in non-consensus intrahost single nucleotide variants are host and sample, but not site-specific. We conclude that the genomic information available does not allow us to discern a transmission route. Future investigation into whether any site-specific mutational signatures emerge over a longer period of infection, for example in immunocompromised hosts, can be interesting from the virus evolution perspective.


Viruses ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 1224
Author(s):  
Marco Antonio Ponce-Gallegos ◽  
Aseneth Ruiz-Celis ◽  
Enrique Ambrocio-Ortiz ◽  
Gloria Pérez-Rubio ◽  
Alejandra Ramírez-Venegas ◽  
...  

(1) Background: The influenza A/H1N1 pdm09 virus rapidly spread throughout the world. Despite the inflammatory and virus-degradation pathways described in the pathogenesis of influenza A virus (IAV) infection, little is known about the role of the single nucleotide polymorphisms (SNPs) in the genes involved in the processing and antigenic presentation-related mechanisms. (2) Methods: In this case-control study, we evaluated 17 SNPs in five genes (TAP1, TAP2, TAPBP, PSMB8, and PSMB9). One hundred and twenty-eight patients with influenza A/H1N1 infection (INF-P) and 111 healthy contacts (HC) were included; all of them are Mexican mestizo. (3) Results: In allele and genotype comparison, the rs241433/C allele (TAP2), as well as AG haplotype (rs3763365 and rs4148882), are associated with reduced risk for influenza A/H1N1 infection (p < 0.05). On the other hand, the rs2071888G allele (TAPBP) and GG haplotype (rs3763365 and rs9276810) are associated with a higher risk for influenza A/H1N1 infection. In addition, after adjustment for covariates, the association to a reduced risk for influenza A/H1N1 infection remains with rs241433/C allele (p < 0.0001, OR = 0.24, 95% CI = 0.13–0.43), and the association with TAPBP is also maintained with the G allele (p = 0.0095, OR = 1.89, 95% CI = 1.17–3.06) and GG genotype models (p < 0.05, OR = 2.18, 95% CI = 1.27–3.74). (4) Conclusion: The rs241433/C allele and AC genotype (TAP2) and the AG haplotype are associated with a reduced risk for influenza A/H1N1 infection. In addition, the rs2071888/G allele and GG genotype (TAPBP) and the GG haplotype are associated with a higher risk for developing influenza A/H1N1 infection in a Mexican mestizo population.


Genes ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1914
Author(s):  
Kalichamy Alagarasu ◽  
Himanshu Kaushal ◽  
Pooja Shinde ◽  
Mahadeo Kakade ◽  
Urmila Chaudhary ◽  
...  

Cytokines are key modulators of immune response, and dysregulated production of proinflammatory and anti-inflammatory cytokines contributes to the pathogenesis of influenza A(H1N1)pdm09 virus infection. Cytokine production is impacted by single nucleotide polymorphisms (SNPs) in the genes coding for them. In the present study, SNPs in the IL6, TNFA, IFNG, IL17A, IL10, and TGFB were investigated for their association with disease severity and fatality in influenza A(H1N1)pdm09-affected patients with mild disease (n = 293) and severe disease (n = 86). Among those with severe disease, 41 patients had fatal outcomes. In a subset of the patients, levels of IL-2, IL-4, IL-6, IL-10, TNF, IFN-γ, and IL-17 were assayed in the plasma for their association with severe disease. The frequency of TNFA rs1800629 G/A allele was significantly higher in severe cases and survived severe cases group compared to that of those with mild infection (OR with 95% for mild vs. severe cases 2.95 (1.52–5.73); mild vs. survived severe cases 4.02 (1.84–8.82)). IL10 rs1800896-rs1800872 G-C haplotype was significantly lower (OR with 95% 0.34 (0.12–0.95)), while IL10 rs1800896-rs1800872 G-A haplotype was significantly higher (OR with 95% 12.11 (2.23–76.96)) in fatal cases group compared to that of the mild group. IL-6 and IL-10 levels were significantly higher in fatal cases compared to that of survived severe cases. IL-6 levels had greater discriminatory power than IL-10 to predict progression to fatal outcome in influenza A(H1N1)pdm09 virus-infected patients. To conclude, the present study reports the association of TNFA and IL10 SNPs with severe disease in Influenza A(H1N1)pdm09 virus-infected subjects. Furthermore, IL-6 levels can be a potential biomarker for predicting fatal outcomes in Influenza A(H1N1)pdm09 virus infected subjects.


2012 ◽  
Vol 16 (3) ◽  
pp. e204-e208 ◽  
Author(s):  
Anastasia Antonopoulou ◽  
Fotini Baziaka ◽  
Thomas Tsaganos ◽  
Maria Raftogiannis ◽  
Pantelis Koutoukas ◽  
...  

Author(s):  
Yi Sun ◽  
Haiyan Mao ◽  
Xiuyu Lou ◽  
Xinying Wang ◽  
Yin Chen ◽  
...  

AbstractThere have been five waves of influenza A (H7N9) epidemics in Zhejiang Province between 2013 and 2017. Although the epidemiological characteristics of the five waves have been reported, the molecular genetics aspects, including the phylogeny, evolution, and mutation of hemagglutinin (HA), have not been systematically investigated. A total of 154 H7N9 samples from Zhejiang Province were collected between 2013 and 2017 and sequenced using an Ion Torrent Personal Genome Machine. The starting dates of the waves were 16 March 2013, 1 July 2013, 1 July 2014, 1 July 2015, and 1 July 2016. Single-nucleotide polymorphisms (SNPs) and amino acid mutations were counted after the HA sequences were aligned. The evolution of H7N9 matched the temporal order of the five waves, among which wave 3 played an important role. The 55 SNPs and 14 amino acid mutations with high frequency identified among the five waves revealed the dynamic occurrence of mutation in the process of viral dissemination. Wave 3 contributed greatly to the subsequent epidemic of waves 4 and 5 of H7N9. Compared with wave 1, wave 5 was characterized by more mutations, including A143V and R148K, two mutations that have been reported to weaken the immune response. In addition, some amino acid mutations were observed in wave 5 that led to more lineages. It is necessary to strengthen the surveillance of subsequent H7N9 influenza outbreaks.


2020 ◽  
Author(s):  
Celine Charon ◽  
Rodrigue Allodji ◽  
Vincent Meyer ◽  
Jean-François Deleuze

Abstract Quality control methods for genome-wide association studies and fine mapping are commonly used for imputation, however, they result in loss of many single nucleotide polymorphisms (SNPs). To investigate the consequences of filtration on imputation, we studied the direct effects on the number of markers, their allele frequencies, imputation quality scores and post-filtration events. We pre-phrased 1,031 genotyped individuals from diverse ethnicities and compared the imputed variants to 1,089 NCBI recorded individuals for additional validation.Without variant pre-filtration based on quality control (QC), we observed no impairment in the imputation of SNPs that failed QC whereas with pre-filtration there was an overall loss of information. Significant differences between frequencies with and without pre-filtration were found only in the range of very rare (5E-04-1E-03) and rare variants (1E-03-5E-03) (p < 1E-04). Increasing the post-filtration imputation quality score from 0.3 to 0.8 reduced the number of single nucleotide variants (SNVs) <0.001 2.5 fold with or without QC pre-filtration and halved the number of very rare variants (5E-04). As a result, to maintain confidence and enough SNVs, we propose here a 2-step post-filtration approach to increase the number of very rare and rare variants compared to conservative post-filtration methods.


Author(s):  
Alexander Charney ◽  
Pamela Sklar

Schizophrenia and bipolar disorder are the classic psychotic disorders. Both diseases are strongly familial, but have proven recalcitrant to genetic methodologies for identifying the etiology until recently. There is now convincing genetic evidence that indicates a contribution of many DNA changes to the risk of becoming ill. For schizophrenia, there are large contributions of rare copy number variants and common single nucleotide variants, with an overall highly polygenic genetic architecture. For bipolar disorder, the role of copy number variation appears to be much less pronounced. Specific common single nucleotide polymorphisms are associated, and there is evidence for polygenicity. Several surprises have emerged from the genetic data that indicate there is significantly more molecular overlap in copy number variants between autism and schizophrenia, and in common variants between schizophrenia and bipolar disorder.


2020 ◽  
Vol 21 (5) ◽  
pp. 1604 ◽  
Author(s):  
Regina F. Nasyrova ◽  
Polina V. Moskaleva ◽  
Elena E. Vaiman ◽  
Natalya A. Shnayder ◽  
Nataliya L. Blatt ◽  
...  

According to the recent data, nitric oxide (NO) is a chemical messenger that mediates functions such as vasodilation and neurotransmission, as well as displaying antimicrobial and antitumoral activities. NO has been implicated in the neurotoxicity associated with stroke and neurodegenerative diseases; neural regulation of smooth muscle, including peristalsis; and penile erections. We searched for full-text English publications from the past 15 years in Pubmed and SNPedia databases using keywords and combined word searches (nitric oxide, single nucleotide variants, single nucleotide polymorphisms, genes). In addition, earlier publications of historical interest were included in the review. In our review, we have summarized information regarding all NOS1, NOS2, NOS3, and NOS1AP single nucleotide variants (SNVs) involved in the development of mental disorders and neurological diseases/conditions. The results of the studies we have discussed in this review are contradictory, which might be due to different designs of the studies, small sample sizes in some of them, and different social and geographical characteristics. However, the contribution of genetic and environmental factors has been understudied, which makes this issue increasingly important for researchers as the understanding of these mechanisms can support a search for new approaches to pathogenetic and disease-modifying treatment.


2019 ◽  
Vol 31 (1) ◽  
pp. 137-141 ◽  
Author(s):  
Hanna Brister ◽  
Samantha M. Barnum ◽  
Stephanie Reedy ◽  
Thomas M. Chambers ◽  
Nicola Pusterla

We validated 2 multiplex real-time PCR (rtPCR) assays based on single nucleotide polymorphisms (SNPs) of the hemagglutinin-1 ( HA1) gene of H3N8 equine influenza A virus (EIV) to determine clade affiliation of prototype and field isolates. Initial validation of the 2 multiplex rtPCR assays (SNP1 and SNP2) was performed using nucleic acid from 14 EIV Florida sublineage clade 1 and 2 prototype strains. We included in our study previously banked EIV rtPCR-positive nasal secretions from 341 horses collected across the United States in 2012–2017 to determine their clade affiliation. All 14 EIV prototype strains were identified correctly as either Florida sublineage clade 1 or clade 2 using the 2 SNP target positions. Of 341 EIV rtPCR-positive samples, 337 (98.8%) and 4 (1.2%) isolates were classified as belonging to clade 1 and 2 Florida sublineage EIV, respectively. All clade 1 Florida sublineage EIV strains were detected in domestic horses, three clade 2 Florida sublineage EIV strains originated from horses recently imported into the United States, and one clade 2 Florida sublineage EIV strain originated from a healthy horse recently vaccinated with a modified-live intranasal EIV vaccine containing the American lineage strain A/eq/Kentucky/1991. EIV Florida sublineage clade differentiation using a fast and reliable multiplex rtPCR platform will help monitor the introduction of clade 2 Florida sublineage EIV strains into North America via international transportation.


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