HLA Loci and Respiratory Infectious Diseases

Spínola, Hélder

doi:10.17554/j.issn.2412-2424.2016.02.15

Cited by 9 publications

(12 citation statements)

References 124 publications

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“…Numerous studies have revealed the existence of significant associations between certain HLA alleles and the susceptibility and prognosis of different infectious diseases [ 22 , 23 ]. HLA includes a large set of genes with important actions in regulation and activity of the immune system against viral infection.…”

Section: Discussionmentioning

confidence: 99%

Possible role of HLA class-I genotype in SARS-CoV-2 infection and progression: A pilot study in a cohort of Covid-19 Spanish patients

Iturrieta-Zuazo

Rita

García-Soidán

et al. 2020

Clinical Immunology

107

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Human Leukocyte Antigen (HLA) includes a large set of genes with important actions in immune response against viral infection. Numerous studies have revealed the existence of significant associations between certain HLA alleles and the susceptibility and prognosis of different infectious diseases. In this pilot study we analyse the binding affinity between 66 class I HLA alleles and SARS-CoV-2 viral peptides, and its association with the severity of the disease. A total of 45 Spanish patients with mild, moderate and severe SARS-CoV-2 infection were typed for HLA class I; after that, we analysed if an in silico model of HLA I-viral peptide binding affinity and classical HLA supertypes could be correlated to the severity of the disease. Our results suggest that patients with mild disease present Class I HLA molecules with a higher theoretical capacity for binding SARS-Cov-2 peptides and showed greater heterozygosity when comparing them with moderate and severe groups. In this regard, identifying HLA-SARS-CoV-2 peptides binding differences between individuals would help to clarify the heterogeneity of clinical responses to the disease and will also be useful to guide a personalized treatment according to its particular risk.

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Section: Discussionmentioning

confidence: 99%

Possible role of HLA class-I genotype in SARS-CoV-2 infection and progression: A pilot study in a cohort of Covid-19 Spanish patients

Iturrieta-Zuazo

Rita

García-Soidán

et al. 2020

Clinical Immunology

107

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show abstract

“…In selecting the concerned immunogen, S1 and the S2 domains of the surface glycoprotein have been utilized separately keeping in mind the limitations associated with utilizing the entire surface glycoprotein [71,72]. The prediction of the three different types of epitopes ( B cells, T HTL and T CTL ) by utilizing multiple different servers in each case based on different algorithms and selection based on a consensus involving all the servers including experimental basis behind alleles (HLA Class I and Class II) selected helps add sustenance to the concluded list of epitopes [73][74][75][76][77]. Each of the predicted epitopes were verified based on described parameters and were found to be antigenic, non-allergen, non-toxic and share high coverage across the spike glycoprotein of SARS-CoV-2 sequences [38].…”

Section: Discussionmentioning

confidence: 99%

“…The sequences predicted were matched with the data generated by [73] through IEDB on significant epitopes present on the surface glycoprotein which did mention the need for analysis of the predicted sites and hence the utility of the stringent filters over the different servers followed by validation. The utilization of specific alleles which have been identified in previous manifestation of the SARS CoV has helped us sort the predicted T cell epitopes appropriately on the different servers which otherwise would have made prediction biased [74][75][76][77]. The selected epitopes are listed in Table 1.…”

Section: Prediction Of B Cell T Htl and T Ctl Epitopesmentioning

confidence: 99%

In silicodesign of Multi-epitope-based peptide vaccine against SARS-CoV-2 using its spike protein

Mitra

Pandey

Jain³

et al. 2020

Preprint

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AbstractSARS CoV-2 has particularly been efficient in ensuring that many countries are brought to a standstill. With repercussions ranging from rampant mortality, fear, paranoia and economic recession, the virus has brought together countries in order to look at possible therapeutic countermeasures. With prophylactic interventions possibly months away from being particularly effective, a slew of measures and possibilities concerning the design of vaccines are being worked upon. We attempted a structure-based approach utilizing a combination of epitope prediction servers to develop a multi-epitope-based subunit vaccine that involves the two major domains of the spike glycoprotein of SARS CoV-2 (S1 and S2) coupled with a substantially effective chimeric adjuvant to create stable vaccine constructs through MD simulations. The designed constructs were evaluated based on their docking with Toll Like Receptor (TLR) 4. Our findings provide an epitope-based peptide fragment; which can be a potential candidate for the development of a vaccine against SARS-CoV-2. Recent experimental studies based on determining immunodominant regions across the spike glycoprotein of SARS-CoV-2 indicate the presence of the predicted epitopes included in this study.

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“…Many of respiratory illnesses are the result of bacterial or viral infection of the lungs. Because people were constantly being exposed to harmful bacteria and viruses in their environment, their respiratory health can be adversely affected [3]. There are number of diseases that can cause problems with breathing.…”

Section: Introductionmentioning

confidence: 99%

A Novel Intelligent System for Diagnosing some of Humans' Respiratory System Diseases

E.¹,

E.²,

A³

2019

IJCA

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This paper presents a novel intelligent system for diagnosing some of humans' respiratory diseases. The proposed system aims to simulate the real medical diagnosing processes. It was adopted in diagnosis on two main parts; knowledge base (KB) and image processing (IP). This paper combines two diagnostic methods; the decision tree (DT) method which used J48 algorithm in WEKA 3.7, and the gray level cooccurrence matrix (GLCM) method for extracting second order statistical texture features of chest x-ray images. The weighted euclidean distance (WED) algorithm was used for feature matching. The final decision calculated by probability measure method for independent events, which is depending on "multiplication rule". The proposed system implemented via visual studio.net 2017; used for designing the main graphical user interface (GUI), MATLAB17; used for image processing diagnoses, and LabVIEW17; used for knowledge base diagnoses. The obtained results show that there is a good agreement between expert's diagnoses and proposed system diagnoses with a high accuracy.

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HLA Loci and Respiratory Infectious Diseases

Cited by 9 publications

References 124 publications

Possible role of HLA class-I genotype in SARS-CoV-2 infection and progression: A pilot study in a cohort of Covid-19 Spanish patients

Possible role of HLA class-I genotype in SARS-CoV-2 infection and progression: A pilot study in a cohort of Covid-19 Spanish patients

In silicodesign of Multi-epitope-based peptide vaccine against SARS-CoV-2 using its spike protein

A Novel Intelligent System for Diagnosing some of Humans' Respiratory System Diseases

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