Optimizing mRNA vaccines and virusmediated CAR T-cell therapy for immuno-oncology: Synthetic tools for gene modification

With the success of mRNA vaccines during the COVID-19 pandemic and CAR T-cell therapies in clinical trials, there is growing opportunity for immunotherapies in the treatment of many types of cancers. Lentiviral vectors have proven effective at delivery of genetic material or gene editing technology for ex vivo processing, but the benefits and promise of Adeno-associated virus (AAV) and mRNA tools for in vivo immunotherapy have garnered recent interest. Here we describe complete synthetic solutions for immuno-oncology research programs using either mRNA-vaccines or virus-mediated cell and gene engineering. These solutions optimize workflows to minimize screening time while maximizing successful research results through: (1) Efficiency in lentiviral packaging with versatility in titer options for high-quality particles. (2) A highthroughput viral packaging process to enable rapid downstream screening. (3) Proprietary plasmid synthesis and preparation techniques to maintain ITR integrity through AAV packaging and improve gene delivery. (4) Rapid synthesis, in vitro transcription, and novel sequencing of mRNA constructs for complete characterization of critical components such as the polyA tail. The reported research demonstrates a streamlined approach that improves data quality through innovative synthesis and sequencing methodologies as compared to current standard practices.

Therapeutic Repurposing Approach: New Opportunity for Developing Drugs Against COVID-19

The coronavirus disease 2019 (COVID-19) pandemic initiated by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has encouraged the repurposing of various drugs to treat the morbidity, mortality, and extent of the disease. Nowadays, the COVID-19 pandemic is a major health concern as it has already affected the whole world in all aspects. Drug repurposing is considered a new potential strategy as it is a cost-effective and less time-consuming process to establish a new indication for existing drugs. The present chapter has focused on the pathophysiology of COVID-19 and the reuse of the drugs based on pharmacological mechanisms. In the literature, various drugs like favipiravir, lopinavir, ritonavir, arbidol, chloroquine, hydroxychloroquine, interferons, etc. have been reported for repurposing purposes against COVID-19. Most of them are effective in in vitro and clinical studies. Drugs act mainly on viral entry, viral replication, angiotensin-converting enzyme-2 (ACE2), inflammatory mechanisms, etc. Based on viral pathogenesis and the mechanism of drugs using in silico, in vitro, and clinical studies, repurposing medicines might be considered an excellent opportunity to cure COVID-19. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

Alpha, Delta, Omicron—Oh My! A SARS-CoV-2 Genome Alignment Activity to Understand Mutations and COVID Variants

COVID took over the world starting in 2020. Everyone quickly "knew" about the novel coronavirus, but how much do they actually know about the virus behind COVID-19? This classroom activity gives students real-world practice in evaluating actual genetic sequences from SARS-CoV-2 and working with genome alignments to identify mutations and cluster different emergence patterns. This activity works through alignments, mutations/variants, protein folding, structure and function, and medical/ immunology implications of the different variants. There are seven parts to this activity, and each one can be incorporated alone into a lesson or collectively used for a lab, case study, or other supplemental activity to strengthen learning objectives in genetics, biology, immunology, and public health. This learning activity is scalable to different levels and has successfully been incorporated into K–12 education as well as college and graduate education. [ FROM AUTHOR] Copyright of American Biology Teacher (University of California Press) is the property of University of California Press 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.)

Persistent chemosensory dysfunction in COVID-19 patients: a deep dive into the psychophysical and genetic characterisation of an Italian cohort

Background/Objectives: Chemosensory dysfunction is a hallmark of SARS-CoV-2 infection;nevertheless, the genetic factors predisposing to long-term smell and taste loss are still unknown. This study aims to identify candidate genes possibly involved in persistent smell/taste loss through Whole Genome Sequencing (WGS) analysis of a large cohort of 130 fully characterised Italian individuals, previously diagnosed with COVID-19. Method(s): DNA of all analysed patients was used to perform WGS analysis, and a detailed personal anamnesis was collected. Moreover, orthonasal function was assessed through the extended Sniffin' Sticks test, retronasal function was tested with 20 powdered tasteless aromas, and taste was determined with validated Taste Strips. Self-reported smell and taste alterations were assessed via Visual Analog Scales plus questionnaires. Result(s): The clinical evaluation allowed to classify the patients in two groups: 88 cases affected by persistent smell dysfunction (median age, 49) and 42 controls (median age, 51). Among cases, 26.1% (n = 23) were functionally anosmic and 73.9% (n = 65) were hyposmic. Within cases, 77 underwent the taste strip test: 53.2% (n = 41) presented hypogeusia and 46.8% (n = 36) were normogeusic. Preliminary WGS results on a first subset of 76 samples confirmed the important role of UGT2A1 gene, previously described as involved in smell loss. Interestingly, we identified a nonsense variant (rs111696697, MAF 0.046) significantly associated with anosmia in males (p-value: 0.0183). Conclusion(s): Here, for the first time a large cohort of patients, fully characterised through a comprehensive psychophysical evaluation of smell and taste, have been analysed to better define the genetic bases of COVID-19-related persistent chemosensory dysfunction.

A Case of a Relapsing Remitting Macrophage Activating Syndrome After Covid-19 Vaccine In a Teenager with UNC13D Heterozygous Variant of Uncertain Significance

Introduction: Macrophage activation syndrome (MAS) is a severe hyper inflammatory condition caused by the over-activation and proliferation of T cells, NK cells and macrophages. It is often associated with complications of rheumatic/immune diseases. We present a case of a 15-year-old female who experiences recurrent episodes of MAS without any known definitive underlying etiology. Case Presentation: A 15-year-old previously healthy female developed fatigue, fevers, myalgia, chest pain, splenomegaly and lymphadenopathy 10 days after receiving her first Pfizer COVID-19 vaccine. Her symptoms recurred 10 days after receiving the second dose. Her myocarditis, MIS-C, and infectious work up was negative except for positive EBV IgG. Laboratory studies revealed anemia, hypertriglyceridemia, hypofibrinogenemia, and hyperferritinemia. She initially responded to decadron;however, her symptoms recurred with steroid taper. Bone marrow biopsy revealed hemophagocytosis. Whole exome sequencing (WES) revealed a heterozygous variant of uncertain significance in UNC13D c.962C>A (p.Thr321Asn). She had multiple re-admissions with significantly elevated inflammatory markers, including extremely high IL2-R, IL-18 and CXCL9. Each episode was complicated by an acute viral infection. She responds to high dose steroids, anti-IL-1, and JAK inhibitors. Nonetheless, it has been difficult to wean decadron without triggering a flare. She continues to require increasing doses of baricitinib. Discussion(s): MAS may be seen as a complication of rheumatic diseases, as well as inborn errors of immunity. However, none of these conditions have been diagnosed in this patient despite extensive testing, including WES. The degree of her immune dysregulation has been very severe making her disease process unpredictable and extremely difficult to control. She has frequent flares precipitated by viral infections or attempts at adjusting her immunomodulators. Weaning her medications has been challenging as she continues to require increasing doses of baricitinib and corticosteroids. The UNC13D gene is associated with autosomal recessive familial hemophagocytic lymphohistiocytosis type 3 (FHL3). Our patient is heterozygous for an UNC13D variant of uncertain significance. Additional genetic inquiries with whole genome sequencing to help elucidate the underlying etiology of her severe condition is being conducted. We hypothesize she developed MAS due to a combination of genetic predisposition, prior EBV infection, and immune stress associated with the COVID-19 vaccine. [Formula presented] [Formula presented] [Formula presented]Copyright © 2023 Elsevier Inc.

Whole genome sequencing of a German cohort to understand host genetics in COVID-19

Background/Objectives: The disease course upon SARS-CoV-2 infection is highly variable and comprises a range from asymptomatic infection to severe (and even lethal) COVID-19. Genetic factors substantially contribute to this variability, as evidenced by epidemiological studies and recent results from genome-wide association studies (GWAS) as well as sequencing-based approaches. The host genetics group of the German COVID-19 OMICs Initiative (DeCOI) has been founded with the aim to identify additional genetic variants that influence COVID-19 severity through whole genome sequencing (WGS) analyses. Method(s): Until January 2022, WGS has been performed on approximately 1200 individuals affected by COVID-19. Result(s): The most recent data freeze comprised 952 individuals. In this dataset, no carrier of a deleterious protein-altering variant has been detected in TLR7, which is the only conclusive risk gene for severe COVID-19. Applying a gene-based association test of rare variants to the subcohort of European individuals (n = 752, mean age: 56 years, females: 44%), including 199 severely affected individuals, we did not observe any significant association after correction for multiple testing. Exome-wide association analysis of common variants in this subcohort replicated the GWAS-locus on chromosome 3. Conclusion(s): With this ongoing work, we are contributing to international efforts to elucidate the host genetics of COVID-19, also by sharing our summary statistics for meta-analyses. Currently, we are sequencing additional severely affected individuals and we are refining analytical strategies, which will also include the joint analysis of common and rare variants at genomewide scale.

A comprehensive review on technological advances in alternate drug discovery process:Drug repurposing

The traditional de novo drug discovery is time consuming, costly and in some instances the drugs will fail to treat the disease which result in a huge loss to the organization. Drug repurposing is an alternative drug discovery process to overcome the limitations of the De novo drug discovery process. Ithelps for the identification of drugs to the rare diseases as well as in the pandemic situationwithin short span of time in a cost-effective way. The underlying principle of drug repurposing is that most of the drugs identified on a primary purpose have shown to treat other diseases also. One such example is Tocilizumab is primarily used for rheumatoid arthritis and it is repurposed to treat cancer and COVID-19. At present, nearly30% of the FDA approved drugs to treat various diseases are repurposed drugs. The drug repurposing is either drug-centric or disease centric and can be studied by using both experimental and in silico studies. The in silico repurpose drug discovery process is more efficient as it screens thousands of compounds from the diverse libraries within few days by various computational methods like Virtual screening, Docking, MD simulations,Machine Learning, Artificial Intelligence, Genome Wide Association Studies (GWAS), etc. with certain limitations.These limitationscan be addressed by effective integration of advanced technologies to identify a novel multi-purpose drug.Copyright © 2023, Association of Biotechnology and Pharmacy. All rights reserved.

Detection and quantification of sars-cov-2 wastewater treatment plants from different cities in chile, towards to a permanent sentinel surveillance.

Background: The quantification of SARS-CoV-2 in wastewater is a tool that allows determining the trend of viral circulation in a particular geographical area. Aim(s): To quantify the SARS-CoV-2 virus in 15 wastewater treatment plants in different Chilean cities to establish a comparison with the variables of: I) Active cases per 100,000 inhabitants;ii) daily positivity (novel cases);and iii) phases of the lockdown strategy. Method(s): SARS-CoV-2 was concentrated from wastewater samples. To obtain the number of virus genomes per liter, absolute quantification was performed using qRT-PCR. Result(s): Between January and June 2021, 253 samples were processed, all of which were positive for the presence of the virus. Likewise, it will be determined that the rate of active cases per 100,000 inhabitants is the variable that best fits the trends obtained with the quantification of the viral load in wastewater. Conclusion(s): The quantification of SARS- CoV-2 in wastewater as a continuous strategy is an efficient tool to determine the trend of the viral circulation in a delimited geographical area and, combined with genomic surveillance, it can constitute an ideal sentinel surveillance alert on future outbreaks.Copyright © 2022, Sociedad Chilena de Infectologia. All rights reserved.

A Hybrid Grey Wolf-Whale Optimization Algorithm for Classification of Corona Virus Genome Sequences using Deep Learning

Genome sequence data is widely accepted as complex data and is still growing in an exponential rate. Classification of genome sequences plays a crucial role as it finds its applications in the area of biology, medical and forensics etc. For classification, Genome sequences can be represented in terms of features. More number of less significant features leads to lower accuracy in classification task. Feature selection addresses this issue by selecting the most important features which aids to improve the accuracy and lessens the computational complexity. In this research, Hybrid Grey Wolf-Whale Optimization Algorithm (HGWWOA) is proposed for Genome sequence classification. The proposed algorithm is evaluated using 23 benchmark objective functions along with Convolutional Neural Network classifier and its efficiency is verified using a novel metric namely "Feature Reduction Rate”. The proposed optimization algorithm can be applied for any optimization problems. In this research work, the proposed algorithm is used for classification of Corona Virus genome sequences. Performance comparison of the proposed and existing algorithms was carried out and it is evident that the performance of proposed algorithm exceeds the previous algorithms with an accuracy of 98.2%. © 2023, Zarka Private University. All rights reserved.

Upskilling haematological services for WGS and germline assessments through a regional skin biopsy training programme

NHS England Genomics introduced whole genome sequencing (WGS) with standard-of- care (SoC) genetic testing for haemato-oncology patients who meet eligibility criteria, including patients with acute leukaemia across all ages, and exhausted SoC testing. Alongside, the role of germline mutations in haematological cancers is becoming increasingly recognised. DNA samples are required from the malignant cells (somatic sample) via a bone marrow aspirate, and from non-malignant cells (germline sample) for comparator analysis. Skin biopsy is considered the gold-standard tissue to provide a source of fibroblast DNA for germline analysis. Performing skin punch biopsies is not within the traditional skillset for haematology teams and upskilling is necessary to deliver WGS/germline testing safely, independently and sustainably. A teaching programme was designed and piloted by the dermatology and haematology teams in Sheffield and delivered throughout the NHS trusts in North East & Yorkshire Genomic Laboratory Hub. The training programme consisted of a 90-min session, slides, video and practical biopsy on pork belly or synthetic skin, designed to teach up to six students at one time. To disseminate best practice, the standard operating procedure and patient information used routinely in Sheffield were shared, to be adapted for local service delivery. From January 2021 to December 2022, 136 haematology staff from 11 hospitals, including 34 consultants, 41 registrars, 34 nurses and 8 physician associates, across the NEY GLH region completed the skin biopsy training programme. Feedback from the course was outstanding, with consistently high scores in all categories. Practical components of the course were especially valued;98.6% (71/72) trainees scored the practical element of the programme a top score of 5 out of 5, highlighting that despite the challenges of delivering face-to- face teaching due to COVID-19, teaching of practical skills was highly valued;training in this way could not have been replicated virtually. Costs of the programme have been approximately 16 000, including consultant input and teaching/educational materials. Recent support has been provided by a separately funded Genomic Nurse Practitioner (GNP), with succession planning for the GNP to take over leadership from the consultant dermatologist. Plans are in place to use the remaining budget to disseminate the programme nationally. Our training programme has shown that skin biopsy can be formally embedded into training for haematology consultants, trainees, nursing team, and physician associates. Delivery of training can be effective and affordable across regional GLHs with appropriate leadership and inter-speciality coordination, and ultimately sustainable with specialist nursing staff, including GNPs.

PPP1R13L-Related Cardiomyopathy Stability Following IL1 Inhibition

Introduction: Variants in PPP1R13L are associated with severe childhood-onset cardiomyopathy resulting in rapid progression to death or cardiac transplantation. PPP1R13L is proposed to encode a protein that limits the transcriptional activity of the NFkappaB pathway leading to elevated IL-1, IL-6, and TNF-alpha production in murine models. Optimal medical management for PPP1R13L-related cardiomyopathy is unknown. Here we report usage of a targeted anti-IL-1 immuno-modulatory therapy resulting in cardiac stabilization in a pediatric patient with congenital cardiomyopathy secondary to PPP1R13L variants. Case Report: A 4-year-old boy presented acutely with fever in the setting of persistent abdominal pain, vomiting, fatigue, and decreased appetite for two months following a mild COVID-19 related illness. Echocardiogram revealed severely depressed biventricular systolic function with an ejection fraction of 30%. Due to acute decompensated heart failure symptoms with hemodynamic instability, he was intubated and placed on continuous inotropic infusions with aggressive diuresis. Cardiac MRI demonstrated extensive subepicardial to near transmural fibrosis by late gadolinium enhancement in right and left ventricles. An implantable cardioverter-defibrillator (ICD) was placed due to frequent runs of polymorphic non-sustained ventricular tachycardia. Testing for viral pathogens was positive for rhino/enterovirus. Initial genetic testing was non-diagnostic (82-gene cardiomyopathy panel) but given the patient's significant presentation whole genome sequencing was pursued that showed two separate PPP1R13L variants in trans (c.2167A>C,p.T723P and c.2179_2183del,p. G727Hfs*25, NM_006663.4). Patient serum cytokine testing revealed elevations in IL-10 (4.7 pg/mL) and IL-1beta (20.9 pg/mL). Given the patient's tenuous circumstances and concern for continued progression of his cardiac disease, a trial of IL-1 inhibition via anakinra dosed at 3 mg/kg or 45 mg daily was initiated following hospital discharge. With approximately 6 months of therapy, the patient's cardiac function is stable with normalization of IL-10 and IL-1beta serum levels. Notably, the ventricular arrhythmia decreased after initiation of anakinra with no ICD shocks given. Therapy overall has been well tolerated without infectious concerns. Conclusion(s): In patients with PPP1R13L-related cardiomyopathy, immuno-modulatory therapies should be considered in an attempt to slow cardiac disease progression.Copyright © 2023 Elsevier Inc.

A survival genome-wide association study to identify variants associated with COVID-19 risk of death

Background/Objectives: SARS-CoV-2 infection clinical manifestations hugely vary among patients, ranging from no symptoms, to life-threatening conditions. This variability is also due to host genetics: COVID-19 Host Genetics Initiative identified six loci associated with COVID-19 severity in a previous case-control genome-wide association study. A different approach to investigate the genetics of COVID-19 severity is looking for variants associated with mortality, e.g. by analyzing the association between genotypes and time-to-event data. Method(s): Here we perform a case-only genome-wide survival analysis, of 1,777 COVID-19 patients from the GEN-COVID cohort, 60 days after infection/hospitalization. Case-only studies has the advantage of eliminating selection biases and confounding related to control subjects. Patients were genotyped using Illumina Infinium Global Screening Arrays. PLINK software was used for data quality check and principal component analysis. GeneAbel R package was used for survival analysis and age, sex and the first four principal components were used as covariates in the Cox proportional hazard model. Result(s): We found four variants associated with COVID-19 patient survival at a nominal P < 1.0 x 10-6. Their minor alleles were associated with a higher mortality risk (i.e. hazard ratios (HR)>1). In detail, we observed: HR=1.03 for rs28416079 on chromosome 19 (P=1.34 x 10-7), HR=1.15 for rs72815354 on chromosome 10 (P=1.66 x 10-7), HR=2.12 for rs2785631 on chromosome 1 (P=5.14 x 10-7), and HR=2.27 for rs2785631 on chromosome 5 (P=6.65 x 10-7). Conclusion(s): The present results suggest that germline variants are COVID-19 prognostic factors. Replication in the remaining HGI COVID-19 patient cohort (EGAS00001005304) is ongoing at the time of submission.

Genetic associations from the Long COVID-19 Host Genetics Initiative contribute to understanding of the genetics of prolonged symptoms in COVID-19

Background/Objectives: One of the most remarkable features of SARS-CoV-2 infection is that a large proportion of individuals are asymptomatic while others experience progressive, even lifethreatening acute respiratory distress syndrome, and some suffer from prolonged symptoms (long COVID). The contribution of host genetics to susceptibility and severity of infectious disease is well-documented, and include rare monogenic inborn errors of immunity as well as common genetic variation. Studies on genetic risk factors for long COVID have not yet been published. Method(s): We compared long COVID (1534) to COVID-19 patients (96,692) and population controls (800,353) using both questionnaire and EHR- based studies. First meta-analysis of 11 GWAS studies from 8 countries did not show genome-wide significant associations. Result(s): Testing 24 variants earlier associated to COVID-19 susceptibility or severity by COVID-19 Host Genetics Initiative showed genetic variation in rs505922, an intronic variant in ABO blood group gene, to be associated with long COVID compared to population controls (OR = 1.16, 95% CI: 1.07-1.27, p = 0.033). (Within-COVID analysis gave similar OR, but was not significant after conservative Bonferroni correction (OR = 1.17, 95% CI: 1.06-1.30, p = 092)). Conclusion(s): The first data freeze of the Long COVID Host Genetics Initiative suggests that the O blood group is associated with a 14% reduced risk for long COVID. The following data freezes with growing sample sizes will possibly elucidate long COVID pathophysiology and pave the way for possible treatments for long lasting COVID symptoms.

The Analysis of Oral and Fecal Virome Detects Multiple Novel Emerging Viruses in Snakes

Wild animals are considered reservoirs for emerging and reemerging viruses, such as the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Previous studies have reported that bats and ticks harbored variable important pathogenic viruses, some of which could cause potential diseases in humans and livestock, while viruses carried by reptiles were rarely reported. Our study first conducted snakes' virome analysis to establish effective surveillance of potential transboundary emerging diseases. Consequently, Adenoviridae, Circoviridae, Retroviridae, and Parvoviridae were identified in oral samples from Protobothrops mucrosquamatus, Elaphe dione, and Gloydius angusticeps based on sequence similarity to existing viruses. Picornaviridae and Adenoviridae were also identified in fecal samples of Protobothrops mucrosquamatus. Notably, the iflavirus and foamy virus were first reported in Protobothrops mucrosquamatus, enriching the transboundary viral diversity in snakes. Furthermore, phylogenetic analysis revealed that both the novel-identified viruses showed low genetic similarity with previously reported viruses. This study provided a basis for our understanding of microbiome diversity and the surveillance and prevention of emerging and unknown viruses in snakes.

COVID-19 pre-exposure prophylaxis with tixagevimab/cilgavimab in patients with haematological malignancy: A single-centre experience

Background: COVID-19 pandemic still pose a substantial threat worldwide despite increasing vaccine availability. Patients with haematological malignancies have been shown to have increased risk of contracting COVID-19 and are more susceptible to develop severe illness from SARS-CoV- 2 infection. The immune response to vaccines is impaired in patients with haematological malignancy due to underlying disease or antineoplastic therapies. The monoclonal-antibody combination, Evusheld is composed of tixagevimab and cilgavimab, two neutralising antibodies against SARS-CoV- 2. It has been shown to be safe and have efficacy for the prevention of COVID-19. Our aim of study is to describe the incidence and outcome of breakthrough COVID-19 infection among patients who received Evusheld in our centre and analyse the factors that possibly increase the risk of breakthrough infection. Material(s) and Method(s): A retrospective review of all adult patients with haematological malignancy who received tixagevimab/ cilgavimab 150/150 mg injection in Hospital Pulau Pinang from 1 July 2022 to 31 August 2022 with a follow-up period to 30 November 2022 was conducted. Demographic data, clinical characteristics and outcome will be retrieved from patient's medical records. Data were analysed using Statistical Package for Social Sciences software (version 21.0). Result(s): A total of 96 patients (50 males and 46 females) received tixagevimab/cilgavimab injection during the study period with a median age of 61 years (range 19-82). Majority of them were diagnosed with multiple myeloma (42.7%), followed by lymphoma (33.3%) and leukaemia (24%). One third of them had history of therapy with monoclonal antibody and 20% had haematopoietic stem cell transplantation. No major adverse effects of tixagevimab/cilgavimab injection were noted among the study population. Of the 12 patients (12.5%) who had COVID-19 infection, all of them had mild infection;three were asymptomatic and six patients received Paxlovid antiviral therapy. The median time from tixagevimab/cilgavimab to the onset of COVID-19 infection was 35 days (range 5-97 days). The mean age of patients with breakthrough COVID-19 infection were older compared to those without breakthrough infection but was not statistically significant. The incidence of breakthrough COVID-19 infection was not affected by type of haematological malignancy, history of monoclonal antibody therapy or COVID-19 vaccination. Discussion and Conclusion(s): Our findings showed that tixagevimab/cilgavimab was safe and effective in preventing COVID-19- related morbidity and mortality among patients with haematological malignancy during the study period. However, the limitation is the lack of access to whole genome sequencing for detection of resistant variants for breakthrough infections.

Association of polymorphic variants in human genome with the COVID-2019 severity and post-COVID syndrome development

Background/Objectives: Despite intensive research of the novel coronavirus SARS-CoV-2 and COVID-2019 caused by it, factors affecting the severity of the disease remains poorly understood. Clinical manifestations of COVID-2019 may vary from asymptomatic form to pneumonia, acute respiratory distress syndrome (ARDS) and multiorgan failure. Features of individual genetic landscape of patients can play an important role in development of the pathological process of COVID-19. In this regard the purpose of this study was to investigate the influence of polymorphic variants in genes (ADD1, CAT, IL17F, IL23R, NOS3, IFNL3, IL6, F2, F13A1, ITGB3, HIF1A, MMP12, VEGFA), associated with cardiovascular, respiratory and autoimmune pathologies, on the severity of COVID-19 and post-COVID syndrome in patients from Russia. Method(s): The study included 200 patients recovered from COVID-19. Two groups of patients were formed in accordance with clinical manifestations: with mild and moderate forms of the disease. The polymorphic variants were analysed with real-time PCR using commercial kits (Syntol). Result(s): 13 SNPs (rs4961;rs1001179;rs612242;rs11209026;rs2070744;rs8099917;rs1800795;rs1799963;rs5985;rs5918;rs11549465;rs652438;rs699947) were genotyped and comparative analysis of allele frequency distribution was carried out in two groups of patients recovered from COVID-2019. Conclusion(s): Identification of polymorphic variants in genome associated with severity of pathological processes in patients infected with SARS-CoV-2 can contribute to the identification of individuals with an increased risk of severe infection process and can also serve as a basis for developing personalized therapeutic approaches to the treatment of post-COVID syndrome.

A comprehensive knowledgebase of known and predicted human genetic variants associated with COVID-19 susceptibility and severity

Host genetic susceptibility is a key risk factor for severe illness associated with COVID-19. Despite numerous studies of COVID-19 host genetics, our knowledge of COVID-19-associated variants is still limited, and there is no resource comprising all the published variants and categorizing them based on their confidence level. Also, there are currently no computational tools available to predict novel COVID-19 severity variants. Therefore, we collated 820 host genetic variants reported to affect COVID-19 susceptibility by means of a systematic literature search and confidence evaluation, and obtained 196 high-confidence variants. We then developed the first machine learning classifier of severe COVID-19 variants to perform a genome-wide prediction of COVID-19 severity for 82,468,698 missense variants in the human genome. We further evaluated the classifier's predictions using feature importance analyses to investigate the biological properties of COVID-19 susceptibility variants, which identified conservation scores as the most impactful predictive features. The results of enrichment analyses revealed that genes carrying high-confidence COVID-19 susceptibility variants shared pathways, networks, diseases and biological functions, with the immune system and infectious disease being the most significant categories. Additionally, we investigated the pleiotropic effects of COVID-19-associated variants using phenome-wide association studies (PheWAS) in ~40,000 BioMe BioBank genotyped individuals, revealing pre-existing conditions that could serve to increase the risk of severe COVID-19 such as chronic liver disease and thromboembolism. Lastly, we generated a web-based interface for exploring, downloading and submitting genetic variants associated with COVID-19 susceptibility for use in both research and clinical settings (https://itanlab.shinyapps.io/COVID19webpage/). Taken together, our work provides the most comprehensive COVID-19 host genetics knowledgebase to date for the known and predicted genetic determinants of severe COVID-19, a resource that should further contribute to our understanding of the biology underlying COVID-19 susceptibility and facilitate the identification of individuals at high risk for severe COVID-19.Copyright © 2023 Elsevier Inc.

Mucormycosis Metabolic Network Modeling: A Constraint-Based Approach

Mucormycosis is an uncommon illness caused by the fungus Mucorales. India was concerned about mucormycosis and COVID-19 in 2020. To minimize morbidity and occurrence, prevent, and treat mucormycosis, analysis is required. Combining systems biology and bioinformatics-based mucormycosis research, this study simulates the Genome-scale metabolic model (GSSM) of a Rhizopus oryzae strain for the comprehension of the organism's metabolic mechanism. Several key metabolic pathways for a mucormycosis-causing fungus strain were identified in research publications and targeted for inclusion in a model of a metabolic network. Based on the Flux Balance Analysis (FBA) approach, an integrated model of these pathways at the scale of the genome's metabolism was developed and appropriate constraints were applied to the numerous reactions involved in Rhizopus oryzae's metabolism using the COBRA package in MATLAB. Hence, unique evidence of pharmacological targets and biomarkers that may function as diagnostic, early analytic, and therapeutic agents in mucormycosis was discovered. Our study investigates the role of key metabolites in the model by applying constraints and altering fluxes, which provides valuable candidates for drug development. . © 2023 IEEE.

Genetic overlap study between idiopathic pulmonary fibrosis and COVID-19

Background/Objectives: Genetic factors influence COVID-19 susceptibility and outcomes, including the development of pulmonary fibrosis (i.e. lung scarring). Idiopathic pulmonary fibrosis (IPF) is a progressive lung disease and the most common cause of pulmonary fibrosis in the general population. Genome-wide association studies (GWAS) of COVID-19 and IPF revealed genes associated with both diseases, suggesting these share genetic risk factors. Here we performed a genetic overlap study between COVID-19 and IPF. Method(s): Summary statistics from an IPF 5-way meta-GWAS and from the COVID-19 Host Genetics initiative GWAS metaanalysis (v6) were used. We performed genetic correlation analyses and assessed individual genetic signals to identify those variants shared between both traits. We conducted colocalisation analyses to determine whether the same causal variant was driving both traits. Finally, the association of overlapping variants with gene expression was assessed and a phenome-wide association study was performed. Result(s): There was a positive genetic correlation between severe COVID-19 and IPF. We found four genetic loci with likely shared causal variants between both traits, including one novel risk locus at 7q22.1 that colocalised with decreased ZKSCAN1 and TRIM4 expression in blood. The other three loci colocalised with MUC5B, ATP11A and DPP9 expression. The locus associated with increased ATP11A expression was also associated with higher Hb1AC levels, a biomarker used in diabetes. Conclusion(s): Results suggest there are shared biological processes driving IPF and severe COVID-19 phenotypes.

Germline rare variants of lectin pathway genes predispose to asymptomatic SARS-CoV-2 infection in elderly individuals

Background/Objectives: Emerging evidence suggests that complement system infection-dependent hyperactivation may worsen COVID-19 outcome. We investigated the role of predicted high impact variants -referred as Qualifying Variants (QVs) -of complement system genes in predisposing asymptomatic COVID-19 in elderly individuals, known to be more susceptible to severe disease. Method(s): Exploiting Whole-Exome Sequencing (WES) data and 56 complement system genes, we performed a gene-based collapsing test between 164 asymptomatic subjects (age >= 60 y.o.) and 56,885 European individuals from the gnomAD database. We replicated this test comparing the same asymptomatic individuals with 147 hospitalized COVID-19 patients. Result(s): We found an enrichment of QVs in three genes (MASP1, COLEC10 and COLEC11), which belong to the lectin pathway, in the asymptomatic cohort. Moreover, individuals with QVs showed lower serum levels of Masp1 and of prothrombin activity compared to controls while no differences were observed for CH50 and AH50 levels that measure the activity of classical and alternative complement pathways, respectively. Finally, integrative analyses of genome-wide association study and expression quantitative loci traits data showed a correlation between polymorphisms associated with asymptomatic COVID-19 and decreased expression of MASP1, COLEC11 and COLEC10 genes in lung tissue. Conclusion(s): This study suggests that rare genetic variants can protect from severe COVID-19 by mitigating the activation of lectin pathway and prothrombin activity.