Immunogenetic landscape of COVID-19 infections related neurological complications

The human leukocyte antigen (HLA) is a critical component of antigen presentation and plays crucial role in conferring differential susceptibility and severity of diseases caused by viruses such as COVID-19. The immunogenetic profile of populations, BCG vaccination status, and a host of lifestyle factors might contribute to the observed variations in mortality rates due to COVID-19. These genetic, epigenetic, and environmental factors could widely influence infection dynamics and immune responses against COVID-19. The aim of this review is to provide an update on HLA association with SARS-CoV-2 infection in global populations and to highlight the possible neurological involvements. We also set out to explore the HLA immunogenetic markers related to COVID‐19 infections that can be used in screening high‐risk individuals for personalized therapies and in community-based vaccine development. © 2023 Elsevier Inc. All rights reserved.

Molecular and Structural Evolution of Porcine Epidemic Diarrhea Virus.

To analyze the evolutionary characteristics of the highly contagious porcine epidemic diarrhea virus (PEDV) at the molecular and structural levels, we analyzed the complete genomes of 647 strains retrieved from the GenBank database. The results showed that the spike (S) gene exhibited larger dS (synonymous substitutions per synonymous site) values than other PEDV genes. In the selective pressure analysis, eight amino acid (aa) sites of the S protein showed strong signals of positive selection, and seven of them were located on the surface of the S protein (S1 domain), suggesting a high selection pressure of S protein. Topologically, the S gene is more representative of the evolutionary relationship at the genome-wide level than are other genes. Structurally, the evolutionary pattern is highly S1 domain-related. The haplotype networks of the S gene showed that the strains are obviously clustered geographically in the lineages corresponding to genotypes GI and GII. The alignment analysis on representative strains of the main haplotypes revealed three distinguishable nucleic acid sites among those strains, suggesting a putative evolutionary mechanism in PEDV. These findings provide several new fundamental insights into the evolution of PEDV and guidance for developing effective prevention countermeasures against PEDV.

Transcriptome Profiling in Autoimmune Diseases

Autoimmune diseases are a group of different inflammatory disorders characterized by systemic or localized inflammation, affecting approximately 0.1–1% of the general population. Several studies suggest that genetic risk loci are shared between different autoimmune diseases and pathogenic mechanisms may also be shared. The strategy of performing differential gene expression profiles in autoimmune disorders has unveiled new transcripts that may be shared among these disorders. Microarray technology and bioinformatics offer the most comprehensive molecular evaluations and it is widely used to understand the changes in gene expression in specific organs or in peripheral blood cells. The major goal of transcriptome studies is the identification of specific biomarkers for different diseases. It is believed that such knowledge will contribute to the development of new drugs, new strategies for early diagnosis, avoiding tissue autoimmune destruction, or even preventing the development of autoimmune disease. In this review, we primarily focused on the transcription profiles of three typical autoimmune disorders, including type 1 diabetes mellitus (destruction of pancreatic islet beta cells), systemic lupus erythematosus (immune complex systemic disorder affecting several organs and tissues), and multiple sclerosis (inflammatory and demyelinating disease of the nervous system). © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2014, 2022.

Analyses of Omicron genomes from India reveal BA.2 as a more transmissible variant

In the current study, the phylodynamics and phylogenomics of Omicron variants are being examined to provide insight into their evolution. We analyzed 564 genomes deposited to the GISAID database from various states of India. A Pangolin COVID-19 Lineage Assigner tool was used to assign lineages to all retrieved genomes. Maximum likelihood (MLE) tree construction and Reduced Median Joining (RM) network were performed. For phylodynamic analysis, the basic reproduction number (R0) was estimated. A Maximum likelihood tree (MLE) confirms the separation of genomes into two distinct clades, BA. 1. and BA. 2. A very high reproduction number (R0) of 2.445 was estimated for the lineage BA.2. Telangana has the highest R0 value in the country, indicating a high prevalence of the BA.2 lineage. The construction of the Reduced Median (RM) network reveals an evolution of some autochthonous haplogroups and haplotypes, which further supports the rapid evolution of Omicron as opposed to its previous variants. Phylogenomic analyses using maximum likelihood (ML) and RM also reveal the likelihood of the emergence of sub-sublineages and novel haplogroups respectively. Due to the recombinant nature and high transmissibility of the Omicron virus, we suggest continuous and more widespread genome sequencing in all states of India to track the evolution of SARS-CoV-2.

AutoVEM2: A flexible automated tool to analyze candidate key mutations and epidemic trends for virus.

In our previous work, we developed an automated tool, AutoVEM, for real-time monitoring the candidate key mutations and epidemic trends of SARS-CoV-2. In this research, we further developed AutoVEM into AutoVEM2. AutoVEM2 is composed of three modules, including call module, analysis module, and plot module, which can be used modularly or as a whole for any virus, as long as the corresponding reference genome is provided. Therefore, it's much more flexible than AutoVEM. Here, we analyzed three existing viruses by AutoVEM2, including SARS-CoV-2, HBV and HPV-16, to show the functions, effectiveness and flexibility of AutoVEM2. We found that the N501Y locus was almost completely linked to the other 16 loci in SARS-CoV-2 genomes from the UK and Europe. Among the 17 loci, 5 loci were on the S protein and all of the five mutations cause amino acid changes, which may influence the epidemic traits of SARS-CoV-2. And some candidate key mutations of HBV and HPV-16, including T350G of HPV-16 and C659T of HBV, were detected. In brief, we developed a flexible automated tool to analyze candidate key mutations and epidemic trends for any virus, which would become a standard process for virus analysis based on genome sequences in the future.

Discovery of genomes of Neanderthal, Denisova and its impact on modern human

The 2022 Nobel Prize in Physiology or Medicine was surprisingly awarded to Svante Pääbo for his establishment of a novel discipline, paleogenomics. Paleogenomics offers a potent means of understanding the course of modern human evolution. Pääbo's research lays a solid foundation for answering the question of what makes us, Homo sapiens, different from other hominins. This year's Nobel laureate has observed genetic admixture in different groups of archaic humans, and found that parts of the genetic code of these extinct branches of the human evolutionary tree are present in the genomes of modern humans, influencing us both physiologically and pathologically. In this paper, Pääbo's research findings are first summarized to deepen, consolidate, and broaden the understanding of extinct hominins and paleogenomics. Pääbo's team was responsible for the first draft sequence of the Neanderthal genome, showing that between 1.5% and 2.1% of modern Eurasian genomes are derived from Neanderthals. They followed this with the complete Neanderthal genome sequence. Similarly, Pääbo and colleagues published both the first draft and the complete sequence of the Denisovan genome. They found evidence of genetic admixture between the Denisovans and modern humans, showing that the genomes of people in Oceania are between 3% and 6% Denisovan while the figure for people in Asia is about 0.2%. Furthermore, at least 0.5% of the Denisovan genome was derived from the Neanderthals. The COVID-19 pandemic provided evidence of the good and bad qualities of the Neanderthal inheritance, particularly in relation to the immune systems of modern humans. A gene cluster on chromosome 3 that was inherited from Neanderthals was found to be associated with severe COVID-19. This gene cluster is mainly found in modern humans from the Middle East and southern Asia. Several genes included in this cluster have been demonstrated to play a role in immune functions and may be involved in the infection process of SARSCoV-2. Interestingly, a gene segment on chromosome 12 which was also inherited from Neanderthals is protective against severe COVID-19. This gene segment is mainly distributed in inhabitants of Europe, Asia, and the Americas, but not of Africa and Oceania. This segment contains the OAS1 gene which encodes proteins that activate enzymes that are important during RNA-viral infections. This is part of the reason why carrying this gene segment can reduce the risk of developing severe COVID-19. The Neanderthals have contributed many immune-related genes to modern humans, including the well-documented cluster containing the TLR1, TLR6, and TLR10 genes. TLR1, TLR6, and TLR10 gene haplotypes inherited from Neanderthals show high expression frequencies in the genomes of Europeans and Asians. These three genes play important roles in the innate immune system that is the first line of defense against pathogens and can trigger adaptive immunity. The TLR1, TLR6, and TLR10 haplotypes increase the expression of their encoded proteins, which not only enhances innate immunity but can also induce hypersensitivity resulting in allergy. Lastly, the way in which Denisovan genes affect Tibetan and Nepalese people to adapt to the extreme conditions of the Qinghai-Tibet Plateau and the Himalayas, respectively, are discussed. The EPAS1 gene in Tibetans and Nepalese is inherited from the Denisovans and encodes the hypoxia-inducible factor HIF-2α, a transcription factor involved in the body's response to low-oxygen conditions. That is to say, both Tibetan and Nepalese people are well adapted to hypoxic and cold conditions thanks to a gene inherited from the Denisovans. This paper intends to inspire more research into extinct hominins and paleogenomics, which can enhance our knowledge of certain diseases, allowing the development of new beneficial therapeutic targets. Thus, surprising results in a new field will eventually reap great benefits. © 2022 Chinese Academy of Sciences. All rights reserved.

Prognostic markers for the clinical course in the blood of patients with SARS-CoV-2 infection.

BACKGROUND: The presentation of peptides and the subsequent immune response depend on the MHC characteristics and influence the specificity of the immune response. Several studies have found an association between HLA variants and differential COVID-19 outcomes and have shown that HLA genotypes are associated with differential immune responses against SARS-CoV-2, particularly in severely ill patients. Information, whether HLA haplotypes are associated with the severity or length of the disease in moderately diseased individuals is absent. METHODS: Next-generation sequencing-based HLA typing was performed in 303 female and 231 male non-hospitalized North Rhine Westphalian patients infected with SARS-CoV2 during the first and second wave. For HLA-Class I, we obtained results from 528 patients, and for HLA-Class II from 531. In those patients, who became ill between March 2020 and January 2021, the 22 most common HLA-Class I (HLA-A, -B, -C) or HLA-Class II (HLA -DRB1/3/4, -DQA1, -DQB1) haplotypes were determined. The identified HLA haplotypes as well as the presence of a CCR5Δ32 mutation and number of O and A blood group alleles were associated to disease severity and duration of the disease. RESULTS: The influence of the HLA haplotypes on disease severity and duration was more pronounced than the influence of age, sex, or ABO blood group. These associations were sex dependent. The presence of mutated CCR5 resulted in a longer recovery period in males. CONCLUSION: The existence of certain HLA haplotypes is associated with more severe disease.

Quasispecies Fitness Partition to Characterize the Molecular Status of a Viral Population. Negative Effect of Early Ribavirin Discontinuation in a Chronically Infected HEV Patient.

The changes occurring in viral quasispecies populations during infection have been monitored using diversity indices, nucleotide diversity, and several other indices to summarize the quasispecies structure in a single value. In this study, we present a method to partition quasispecies haplotypes into four fractions according to their fitness: the master haplotype, rare haplotypes at two levels (those present at <0.1%, and those at 0.1−1%), and a fourth fraction that we term emerging haplotypes, present at frequencies >1%, but less than that of the master haplotype. We propose that by determining the changes occurring in the volume of the four quasispecies fitness fractions together with those of the Hill number profile we will be able to visualize and analyze the molecular changes in the composition of a quasispecies with time. To develop this concept, we used three data sets: a technical clone of the complete SARS-CoV-2 spike gene, a subset of data previously used in a study of rare haplotypes, and data from a clinical follow-up study of a patient chronically infected with HEV and treated with ribavirin. The viral response to ribavirin mutagenic treatment was selection of a rich set of synonymous haplotypes. The mutation spectrum was very complex at the nucleotide level, but at the protein (phenotypic/functional) level the pattern differed, showing a highly prevalent master phenotype. We discuss the putative implications of this observation in relation to mutagenic antiviral treatment.

Role of SNPs of IL6 gene in the incidence and progression of COVID19 patients in Wasit province

Background: SARS-coronavirus 2 is the causative of the COVID-19 pandemic. (SARS-COV-2). There is a correlation between illness severity and cytokines of proinflammation such as interleukin-6 (IL-6). The amount of COVID-19 cytokine produced might be affected by polymorphisms in the regulatory areas in genes of cytokine. In this study, an Iraqi population was used to investigate a possible connection between three IL-6 promoter SNPs and COVID-19 susceptibility. Methods: The goal of this cohort study required the participation of a total of 97 individuals, 52 of whom had been diagnosed with severe COVID-19 and 45 of whom had been diagnosed with intermediate COVID-19. In order to determine the genotypes of three selected SNPs in the promoter region of the IL-6 gene, genomic DNA was extracted from the peripheral blood leukocytes of patients utilizing the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. This was done in order to establish a baseline for future research. These single nucleotide polymorphisms were denoted by the SNP names rs13306435 (T > A), rs2069860 (A > T), and rs2069830 (A > T). Results: There were no significant changes seen in the genotype or allele distribution of chosen SNPs of IL-6 gene in the promoter region between patients with severe levels of COVID-19 and patients with moderate levels of COVID-19. These SNPs included rs13306435 (-395 T > A), rs2069860 (-632A > T), and rs2069830 (-612A > T). Conclusion: According to the results of our investigation, these SNPs do not seem to be linked with the severity of COVID-19 in the Arabian community in Iraq.

New detections of chestnut blight in Great Britain during 2019–2020 reveal high Cryphonectria parasitica diversity and limited spread of the disease

Cryphonectria parasitica was detected for the first time in the United Kingdom in 2011. A 2017–2018 survey detected the disease at different sites in Berkshire, Derbyshire, Devon, Dorset and London, while the present study comprises the results of the 2019–2020 survey with new findings and additional sites in the United Kingdom (Berkshire, Buckinghamshire, Cornwall, Derbyshire, Devon, London, West Sussex) and in Jersey, reflecting the progressive detection of more infected trees. A total of 189 samples were collected from 52 sites, and 123 samples tested positive both by quantitative real‐time PCR and/or isolation from 43 sites. A total of 115 isolates were tested for mating type, vegetative compatibility group (VCG) and Cryphonectria hypovirus 1 (CHV‐1). Twelve VCGs were identified, with four of them being first records in United Kingdom. The highest diversity of VCGs was detected in Devon followed by West Sussex while London and Derbyshire presented the lowest. Both mating types were detected (41% MAT‐1 and 59% MAT‐2), and no heterokaryons were detected. Perithecia of C. parasitica were not observed at any site during this survey. CHV‐1 was detected in three isolates in very low concentration from three different locations in London and was always the unmutated subtype I haplotype E‐5. A greater diversity of VCGs at outbreak sites compared with previous surveys, combined with their scattered distribution and the slow spread of the pathogen, supports the hypothesis that this disease has been introduced through imports over time from Europe. [ FROM AUTHOR] Copyright of Plant Pathology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

SARS-CoV-2 in Egypt: epidemiology, clinical characterization and bioinformatics analysis.

COVID-19 is an infectious disease caused by SARS-CoV-2 and has spread globally, resulting in the ongoing coronavirus pandemic. The current study aimed to analyze the clinical and epidemiological features of COVID-19 in Egypt. Oropharyngeal swabs were collected from 197 suspected patients who were admitted to the Army Hospital and confirmation of the positivity was performed by rRT-PCR assay. Whole genomic sequencing was conducted using Illumina iSeq 100® System. The average age of the participants was 48 years, of which 132 (67%) were male. The main clinical symptoms were pneumonia (98%), fever (92%), and dry cough (66%). The results of the laboratory showed that lymphocytopenia (79.2%), decreased levels of haemoglobin (77.7%), increased levels of interleukin 6, C-reactive protein, serum ferritin, and D-dimer (77.2%, 55.3%, 55.3%, and 25.9%, respectively), and leukocytopenia (25.9%) were more common. The CT findings showed that scattered opacities (55.8%) and ground-glass appearance (27.9%) were frequently reported. The recovered validated sequences (n = 144) were submitted to NCBI Virus GenBank. All sequenced viruses have at least 99% identity to Wuhan-Hu-1. All variants were GH clade, B.1 PANGO lineage, and L.GP.YP.HT haplotype. The most predominant subclade was D614G/Q57H/V5F/G823S. Our findings have aided in a deep understanding of COVID-19 evolution and identifying strains with unique mutational patterns in Egypt.

The Phylodynamic and Spread of the Invasive Asian Malaria Vectors, Anopheles stephensi, in Sudan.

Anopheles stephensi is an invasive Asian malaria vector that initially emerged in Africa in 2012 and was reported in Sudan in 2019. We investigated the distribution and population structure of An. stephensi throughout Sudan by using sequencing and molecular tools. We confirmed the presence of An. stephensi in eight border-states, identifying both natural and human-made breeding sites. Our analysis revealed the presence of 20 haplotypes with different distributions per state. This study revealed a countrywide spread of An. stephensi in Sudan, with confirmed presence in borders states with Chad, Egypt, Eritrea, Ethiopia, Libya, Republic of Central Africa, and South Sudan. Detection of An. stephensi at points of entry with these countries, particularly Chad, Libya, and South Sudan, indicates the rapid previously undetected spread of this invasive vector. Our phylogenetic and haplotype analysis suggested local establishment and evolutionary adaptation of the vector to different ecological and environmental conditions in Sudan. Urgent engagement of the global community is essential to control and prevent further spread into Africa.

Whole-genome analysis of SARS-CoV-2 in a 2020 infection cluster in a nursing home of Southern Italy.

BACKGROUND: Nursing homes have represented important hotspots of viral spread during the initial wave of COVID-19 pandemics. The proximity of patients inside nursing homes allows investigate the dynamics of viral transmission, which may help understand SARS-Cov2 biology and spread. METHODS: SARS-CoV-2 viral genomes obtained from 46 patients infected in an outbreak inside a nursing home in Calabria region (South Italy) were analyzed by Next Generation Sequencing. We also investigated the evolution of viral genomes in 8 patients for which multiple swabs were available. Phylogenetic analysis and haplotype reconstruction were carried out with IQ-TREE software and RegressHaplo tool, respectively. RESULTS: All viral strains isolated from patients infected in the nursing home were classified as B.1 lineage, clade G. Overall, 14 major single nucleotide variations (SNVs) (frequency > 80%) and 12 minor SNVs (frequency comprised between 20% and 80%) were identified with reference to the Wuhan-H-1 sequence (NC_045512.2). All patients presented the same 6 major SNVs: D614G in the S gene; P4715L, ntC3037T (F924F) and S5398P in Orf1ab gene; ntC26681T (F53F) in the M gene; and ntC241T in the non-coding UTR region. However, haplotype reconstruction identified a founder haplotype (Hap A) in 36 patients carrying only the 6 common SNVs indicated above, and 10 other haplotypes (Hap BK) derived from Hap A in the remaining 10 patients. Notably, no significant association between a specific viral haplotype and clinical parameters was found. CONCLUSION: The predominant viral strain responsible for the infection in a nursing home in Calabria was the B.1 lineage (clade G). Viral genomes were classified into 11 haplotypes (Hap A in 36 patients, Hap BK in the remaining patients).

Rapid SARS-CoV-2 Intra-Host and Within-Household Emergence of Novel Haplotypes.

In February 2020, the municipality of Vo', a small town near Padua (Italy) was quarantined due to the first coronavirus disease 19 (COVID-19)-related death detected in Italy. To investigate the viral prevalence and clinical features, the entire population was swab tested in two sequential surveys. Here we report the analysis of 87 viral genomes, which revealed that the unique ancestor haplotype introduced in Vo' belongs to lineage B, carrying the mutations G11083T and G26144T. The viral sequences allowed us to investigate the viral evolution while being transmitted within and across households and the effectiveness of the non-pharmaceutical interventions implemented in Vo'. We report, for the first time, evidence that novel viral haplotypes can naturally arise intra-host within an interval as short as two weeks, in approximately 30% of the infected individuals, regardless of symptom severity or immune system deficiencies. Moreover, both phylogenetic and minimum spanning network analyses converge on the hypothesis that the viral sequences evolved from a unique common ancestor haplotype that was carried by an index case. The lockdown extinguished both the viral spread and the emergence of new variants.

Global Geographic and Temporal Analysis of SARS-CoV-2 Haplotypes Normalized by COVID-19 Cases During the Pandemic.

Since the identification of SARS-CoV-2, a large number of genomes have been sequenced with unprecedented speed around the world. This marks a unique opportunity to analyze virus spreading and evolution in a worldwide context. Currently, there is not a useful haplotype description to help to track important and globally scattered mutations. Also, differences in the number of sequenced genomes between countries and/or months make it difficult to identify the emergence of haplotypes in regions where few genomes are sequenced but a large number of cases are reported. We propose an approach based on the normalization by COVID-19 cases of relative frequencies of mutations using all the available data to identify major haplotypes. Furthermore, we can use a similar normalization approach to tracking the temporal and geographic distribution of haplotypes in the world. Using 171,461 genomes, we identify five major haplotypes or operational taxonomic units (OTUs) based on nine high-frequency mutations. OTU_3 characterized by mutations R203K and G204R is currently the most frequent haplotype circulating in four of the six continents analyzed (South America, North America, Europe, Asia, Africa, and Oceania). On the other hand, during almost all months analyzed, OTU_5 characterized by the mutation T85I in nsp2 is the most frequent in North America. Recently (since September), OTU_2 has been established as the most frequent in Europe. OTU_1, the ancestor haplotype, is near to extinction showed by its low number of isolations since May. Also, we analyzed whether age, gender, or patient status is more related to a specific OTU. We did not find OTU's preference for any age group, gender, or patient status. Finally, we discuss structural and functional hypotheses in the most frequently identified mutations, none of those mutations show a clear effect on the transmissibility or pathogenicity.

Analysis of SARS-CoV-2 haplotypes and genomic sequences during 2020 in Victoria, Australia, in the context of putative deficits in innate immune deaminase anti-viral responses.

The SARS-CoV-2 epidemic infections in Australia during 2020 were small in number in epidemiological terms and are well described. The SARS-CoV-2 genomic sequence data of many infected patients have been largely curated in a number of publicly available databases, including the corresponding epidemiological data made available by the Victorian Department of Health and Human Services. We have critically analysed the available SARS-CoV-2 haplotypes and genomic sequences in the context of putative deficits in innate immune APOBEC and ADAR deaminase anti-viral responses. It is now known that immune impaired elderly co-morbid patients display clear deficits in interferon type 1 (α/ß) and III (λ) stimulated innate immune gene cascades, of which APOBEC and ADAR induced expression are part. These deficiencies may help explain some of the clear genetic patterns in SARS-CoV-2 genomes isolated in Victoria, Australia, during the 2nd Wave (June-September, 2020). We tested the hypothesis that predicted lowered innate immune APOBEC and ADAR anti-viral deaminase responses in a significant proportion of elderly patients would be consistent with/reflected in a low level of observed mutagenesis in many isolated SARS-CoV-2 genomes. Our findings are consistent with this expectation. The analysis also supports the conclusions of the Victorian government's Department of Health that essentially one variant or haplotype infected Victorian aged care facilities where the great majority (79%) of all 820 SARS-CoV-2 associated deaths occurred. The implications of our data analysis for other localized epidemics and efficient coronavirus vaccine design and delivery are discussed.

Evolution of SARS-CoV-2 genome from December 2019 to late March 2020: Emerged haplotypes and informative Tag nucleotide variations.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes serious disease in humans. First identified in November/December 2019 in China, it has rapidly spread worldwide. We analyzed 2790 SARS-CoV-2 genome sequences from 56 countries that were available on April 2, 2020, to assess the evolution of the virus during this early phase of its expansion. We aimed to assess sequence variations that had evolved in virus genomes, giving the greatest attention to the S gene. We also aimed to identify haplotypes that the variations may define and consider their geographic and chronologic distribution. Variations at 1930 positions that together cause 1203 amino acid changes were identified. The frequencies of changes normalized to the lengths of genes and encoded proteins were relatively high in ORF3a and relatively low in M. A variation that causes an Asp614Gly near the receptor-binding domain of S were found at a high frequency, and it was considered that this may contribute to the rapid spread of viruses with this variation. Our most important findings relate to haplotypes. Sixty-six haplotypes that constitute thirteen haplotype groups (H1-H13) were identified, and 84.6% of the 2790 sequences analyzed were associated with these haplotypes. The majority of the sequences (75.1%) were associated with haplotype groups H1-H3. The distribution pattern of the haplotype groups differed in various geographic regions. A few were country/territory specific. The location and time of emergence of some haplotypes are discussed. Importantly, nucleotide variations that define the various haplotypes and Tag/signature variations for most of the haplotypes are reported. The practical applications of these variations are discussed.

Validation of Variant Assembly Using HAPHPIPE with Next-Generation Sequence Data from Viruses.

Next-generation sequencing (NGS) offers a powerful opportunity to identify low-abundance, intra-host viral sequence variants, yet the focus of many bioinformatic tools on consensus sequence construction has precluded a thorough analysis of intra-host diversity. To take full advantage of the resolution of NGS data, we developed HAplotype PHylodynamics PIPEline (HAPHPIPE), an open-source tool for the de novo and reference-based assembly of viral NGS data, with both consensus sequence assembly and a focus on the quantification of intra-host variation through haplotype reconstruction. We validate and compare the consensus sequence assembly methods of HAPHPIPE to those of two alternative software packages, HyDRA and Geneious, using simulated HIV and empirical HIV, HCV, and SARS-CoV-2 datasets. Our validation methods included read mapping, genetic distance, and genetic diversity metrics. In simulated NGS data, HAPHPIPE generated pol consensus sequences significantly closer to the true consensus sequence than those produced by HyDRA and Geneious and performed comparably to Geneious for HIV gp120 sequences. Furthermore, using empirical data from multiple viruses, we demonstrate that HAPHPIPE can analyze larger sequence datasets due to its greater computational speed. Therefore, we contend that HAPHPIPE provides a more user-friendly platform for users with and without bioinformatics experience to implement current best practices for viral NGS assembly than other currently available options.

Human Leukocyte Antigen Complex and Other Immunogenetic and Clinical Factors Influence Susceptibility or Protection to SARS-CoV-2 Infection and Severity of the Disease Course. The Sardinian Experience.

Aim: SARS-CoV-2 infection is a world-wide public health problem. Several aspects of its pathogenesis and the related clinical consequences still need elucidation. In Italy, Sardinia has had very low numbers of infections. Taking advantage of the low genetic polymorphism in the Sardinian population, we analyzed clinical, genetic and immunogenetic factors, with particular attention to HLA class I and II molecules, to evaluate their influence on susceptibility to SARS-CoV-2 infection and the clinical outcome. Method and Materials: We recruited 619 healthy Sardinian controls and 182 SARS-CoV-2 patients. Thirty-nine patients required hospital care and 143 were without symptoms, pauci-symptomatic or with mild disease. For all participants, we collected demographic and clinical data and analyzed the HLA allele and haplotype frequencies. Results: Male sex and older age were more frequent in hospitalized patients, none of whom had been vaccinated during the previous seasonal flu vaccination campaignes. Compared to the group of asymptomatic or pauci-symptomatic patients, hospitalized patients also had a higher frequency of autoimmune diseases and glucose-6-phosphate-dehydrogenase (G6PDH) deficiency. None of these patients carried the beta-thalassemia trait, a relatively common finding in the Sardinian population. The extended haplotype HLA-A*02:05, B*58:01, C*07:01, DRB1*03:01 [OR 0.1 (95% CI 0-0.6), Pc = 0.015] was absent in all 182 patients, while the HLA-C*04:01 allele and the three-loci haplotype HLA-A*30:02, B*14:02, C*08:02 [OR 3.8 (95% CI 1.8-8.1), Pc = 0.025] were more frequently represented in patients than controls. In a comparison between in-patients and home care patients, the HLA-DRB1*08:01 allele was exclusively present in the hospitalized patients [OR > 2.5 (95% CI 2.7-220.6), Pc = 0.024]. Conclusion: The data emerging from our study suggest that the extended haplotype HLA-A*02:05, B*58:01, C*07:01, DRB1*03:01 has a protective effect against SARS-CoV-2 infection in the Sardinian population. Genetic factors that resulted to have a negative influence on the disease course were presence of the HLA-DRB1*08:01 allele and G6PDH deficiency, but not the beta-thalassemic trait. Absence of influenza vaccination could be a predisposing factor for more severe disease.

Association between HLA genotypes and COVID-19 susceptibility, severity and progression: a comprehensive review of the literature.

The COVID-19 pandemic has markedly impacted on cultural, political, and economic structures all over the world. Several aspects of its pathogenesis and related clinical consequences have not yet been elucidated. Infection rates, as well morbidity and mortality differed within countries. It is intriguing for scientists to understand how patient genetics may influence the outcome of the condition, to clarify which aspects could be related the clinical variability of SARS-CoV-2 disease. We reviewed the studies exploring the role of human leukocyte antigens (HLA) genotypes on individual responses to SARS-CoV-2 infection and/or progression, discussing also the contribution of the immunological patterns MHC-related. In March 2021, the main online databases were accessed. All the articles that investigated the possible association between the HLA genotypes and related polymorphisms with susceptibility, severity and progression of COVID-19 were considered. Although both genetic and environmental factors are certainly expected to influence the susceptibility to or protection of individuals, the HLA and related polymorphisms can influence susceptibility, progression and severity of SARS-CoV-2 infection. The crucial role played by HLA molecules in the immune response, especially through pathogen-derived peptide presentation, and the huge molecular variability of HLA alleles in the human populations could be responsible for the different rates of infection and the different patients following COVID-19 infection.