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Tran E, Phu V, Xu R, Teoderascu A, Aly M, Shah N, Malvankar-Mehta MS. Ocular manifestations of COVID-19: systematic review and meta-analysis. CANADIAN JOURNAL OF OPHTHALMOLOGY 2024; 59:e435-e452. [PMID: 37683691 DOI: 10.1016/j.jcjo.2023.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 06/30/2023] [Accepted: 08/11/2023] [Indexed: 09/10/2023]
Abstract
OBJECTIVE Our study aims to build on our understanding of COVID-19 by detailing a comprehensive look at the prevalence of different ocular manifestations related to COVID-19 infection. DESIGN Systematic review and meta-analysis. METHODS Eligible studies published between June 20, 2021, and May 11, 2023, were retrieved from the MEDLINE, EMBASE, and CINAHL databases as well as grey literature. Covidence was used to conduct the systematic review. Duplicate records were removed, and 2 independent reviewers screened records for relevance. After screening, a risk-of-bias assessment was carried out. Data were extracted, and a meta-analysis was performed using STATA 14.0. Fixed-effects and random-effects models were computed based on heterogeneity. RESULTS Our meta-analysis included 43 articles with a total of 10,572 subjects. The results showed that COVID-19 patients had a significantly higher prevalence of conjunctivitis (effect size [ES] = 0.11; 95% CI, 0.07-0.15), ptosis (ES = 0.22; 95% CI, 0.15-0.30), and ophthalmoplegia (ES = 0.40; 95% CI, 0.06-0.74). Our results also indicate that COVID-19 patients have higher prevalence of cotton wool spots (ES = 0.06; 95% CI, 0.03-0.09), retinal hemorrhages (ES = 0.12; 95% CI, 0.06-0.18), and retinal vein tortuosity (ES = 0.19; 95% CI, 0.09-0.35). CONCLUSION COVID-19 can exhibit extrapulmonary manifestations, affecting both the anterior and posterior segments of the eye. Common anterior-segment findings include conjunctivitis, whereas posterior-segment findings may include cotton wool spots, retinal hemorrhages, and retinal vein tortuosity. Improving our understanding of the ocular manifestations of COVID-19 has the potential to facilitate quicker diagnosis and subsequent treatment.
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Affiliation(s)
- Edward Tran
- Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON
| | - Vivian Phu
- Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON
| | - Riley Xu
- Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON
| | - Angela Teoderascu
- Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON
| | - Mohamed Aly
- Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON
| | - Nirmit Shah
- Melbourne Medical School, University of Melbourne, Parkville, Australia
| | - Monali S Malvankar-Mehta
- Department of Ophthalmology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON; Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON.
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2
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Boychev N, Lee S, Yeung V, Ross AE, Kuang L, Chen L, Dana R, Ciolino JB. Contact lenses as novel tear fluid sampling vehicles for total RNA isolation, precipitation, and amplification. Sci Rep 2024; 14:11727. [PMID: 38778161 PMCID: PMC11111455 DOI: 10.1038/s41598-024-62215-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 05/14/2024] [Indexed: 05/25/2024] Open
Abstract
The tear fluid is a readily accessible, potential source for biomarkers of disease and could be used to monitor the ocular response to contact lens (CL) wear or ophthalmic pathologies treated by therapeutic CLs. However, the tear fluid remains largely unexplored as a biomarker source for RNA-based molecular analyses. Using a rabbit model, this study sought to determine whether RNA could be collected from commercial CLs and whether the duration of CL wear would impact RNA recovery. The results were referenced to standardized strips of filtered paper (e.g., Shirmer Strips) placed in the inferior fornix. By performing total RNA isolation, precipitation, and amplification with commercial kits and RT-PCR methods, CLs were found to have no significant differences in RNA concentration and purity compared to Schirmer Strips. The study also identified genes that could be used to normalize RNA levels between tear samples. Of the potential control genes or housekeeping genes, GAPDH was the most stable. This study, which to our knowledge has never been done before, provides a methodology for the detection of RNA and gene expression changes from tear fluid that could be used to monitor or study eye diseases.
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Affiliation(s)
- Nikolay Boychev
- Department of Ophthalmology, Schepens Eye Research Institute, Massachusetts Eye and Ear, and Harvard Medical School, Boston, USA.
| | - Seokjoo Lee
- Department of Ophthalmology, Schepens Eye Research Institute, Massachusetts Eye and Ear, and Harvard Medical School, Boston, USA
| | - Vincent Yeung
- Department of Ophthalmology, Schepens Eye Research Institute, Massachusetts Eye and Ear, and Harvard Medical School, Boston, USA
| | - Amy E Ross
- Department of Ophthalmology, Schepens Eye Research Institute, Massachusetts Eye and Ear, and Harvard Medical School, Boston, USA
| | - Liangju Kuang
- Department of Ophthalmology, Schepens Eye Research Institute, Massachusetts Eye and Ear, and Harvard Medical School, Boston, USA
| | - Lin Chen
- Department of Optometry and Visual Science, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Ophthalmology, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China
| | - Reza Dana
- Department of Ophthalmology, Schepens Eye Research Institute, Massachusetts Eye and Ear, and Harvard Medical School, Boston, USA
| | - Joseph B Ciolino
- Department of Ophthalmology, Schepens Eye Research Institute, Massachusetts Eye and Ear, and Harvard Medical School, Boston, USA
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3
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Liu Z, Dai W, Wang S, Yao Y, Zhang H. Deep learning identified genetic variants for COVID-19-related mortality among 28,097 affected cases in UK Biobank. Genet Epidemiol 2023; 47:215-230. [PMID: 36691909 PMCID: PMC10006374 DOI: 10.1002/gepi.22515] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 10/19/2022] [Accepted: 01/11/2023] [Indexed: 01/25/2023]
Abstract
Analysis of host genetic components provides insights into the susceptibility and response to viral infection such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19). To reveal genetic determinants of susceptibility to COVID-19 related mortality, we train a deep learning model to identify groups of genetic variants and their interactions that contribute to the COVID-19 related mortality risk using the UK Biobank data (28,097 affected cases and 1656 deaths). We refer to such groups of variants as super variants. We identify 15 super variants with various levels of significance as susceptibility loci for COVID-19 mortality. Specifically, we identify a super variant (odds ratio [OR] = 1.594, p = 5.47 × 10-9 ) on Chromosome 7 that consists of the minor allele of rs76398985, rs6943608, rs2052130, 7:150989011_CT_C, rs118033050, and rs12540488. We also discover a super variant (OR = 1.353, p = 2.87 × 10-8 ) on Chromosome 5 that contains rs12517344, rs72733036, rs190052994, rs34723029, rs72734818, 5:9305797_GTA_G, and rs180899355.
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Affiliation(s)
- Zihuan Liu
- Department of Biostatistics, Yale University, 300 George Street, Ste 523, New Haven, CT, 06511
| | - Wei Dai
- Department of Biostatistics, Yale University, 300 George Street, Ste 523, New Haven, CT, 06511
| | - Shiying Wang
- Department of Biostatistics, Yale University, 300 George Street, Ste 523, New Haven, CT, 06511
| | - Yisha Yao
- Department of Biostatistics, Yale University, 300 George Street, Ste 523, New Haven, CT, 06511
| | - Heping Zhang
- Department of Biostatistics, Yale University, 300 George Street, Ste 523, New Haven, CT, 06511
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4
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Choroidal and Retinal Vascular Findings in Patients with COVID-19 Complicated with Pneumonia: Widefield Imaging. Diagnostics (Basel) 2023; 13:diagnostics13061114. [PMID: 36980424 PMCID: PMC10047816 DOI: 10.3390/diagnostics13061114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 03/05/2023] [Accepted: 03/09/2023] [Indexed: 03/18/2023] Open
Abstract
Purpose: The purpose of this study was to analyze choroidal and retinal vascular alterations of both the macula and midperiphery areas in patients hospitalized for COVID-19 infection complicated with pneumonia within 30 days from discharge. Methods: A total of 46 eyes of 23 subjects with a history of symptomatic COVID-19 infection and recent hospitalization for pneumonia were enrolled in this observational study. Patients had not been previously vaccinated against COVID-19. A group of patients homogenous for age and sex was enrolled as controls. Microvascular retinal and choroidal features of the enrolled patients were studied with widefield optical coherence tomography angiography (OCT-A). Perfusion parameters in terms of the vessel density (VD) of the superficial capillary plexus (SCP) and deep capillary plexus (DCP) and the choroidal vascularity index (CVI) on enhanced depth imaging (EDI) mode OCT scans were analyzed. Results: Our cohort of patients showed a trend of reduction in VD, significantly in the SCP VD of the superior and inferior midperiphery sectors, whereas the CVI did not show significant differences between the cases and controls. Moreover, a positive correlation between CVI and vessel density in the deep capillary plexus in the macular area (VD-DCP-MAC) was found. Conclusion: The systemic disease due to COVID-19 can also involve the retina and choroid with multiple mechanisms: ischemic and inflammatory. Our study showed changes in perfusion occurring in the eyes of patients with a recent hospitalization for COVID-19 complicated with pneumonia and without any possible ocular effect due to the vaccines. There is still the need to better comprise how long COVID-19 actually affects vascular changes in the eye.
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5
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Valyaeva AA, Zharikova AA, Sheval EV. SARS-CoV-2 cellular tropism and direct multiorgan failure in COVID-19 patients: Bioinformatic predictions, experimental observations, and open questions. Cell Biol Int 2023; 47:308-326. [PMID: 36229927 PMCID: PMC9874490 DOI: 10.1002/cbin.11928] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 08/24/2022] [Accepted: 09/25/2022] [Indexed: 02/06/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (COVID-19), has led to an unprecedented public health emergency worldwide. While common cold symptoms are observed in mild cases, COVID-19 is accompanied by multiorgan failure in severe patients. Organ damage in COVID-19 patients is partially associated with the indirect effects of SARS-CoV-2 infection (e.g., systemic inflammation, hypoxic-ischemic damage, coagulopathy), but early processes in COVID-19 patients that trigger a chain of indirect effects are connected with the direct infection of cells by the virus. To understand the virus transmission routes and the reasons for the wide-spectrum of complications and severe outcomes of COVID-19, it is important to identify the cells targeted by SARS-CoV-2. This review summarizes the major steps of investigation and the most recent findings regarding SARS-CoV-2 cellular tropism and the possible connection between the early stages of infection and multiorgan failure in COVID-19. The SARS-CoV-2 pandemic is the first epidemic in which data extracted from single-cell RNA-seq (scRNA-seq) gene expression data sets have been widely used to predict cellular tropism. The analysis presented here indicates that the SARS-CoV-2 cellular tropism predictions are accurate enough for estimating the potential susceptibility of different cells to SARS-CoV-2 infection; however, it appears that not all susceptible cells may be infected in patients with COVID-19.
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Affiliation(s)
- Anna A. Valyaeva
- School of Bioengineering and BioinformaticsLomonosov Moscow State UniversityMoscowRussia
- Belozersky Institute of Physico‐Chemical BiologyLomonosov Moscow State UniversityMoscowRussia
| | - Anastasia A. Zharikova
- School of Bioengineering and BioinformaticsLomonosov Moscow State UniversityMoscowRussia
- Belozersky Institute of Physico‐Chemical BiologyLomonosov Moscow State UniversityMoscowRussia
| | - Eugene V. Sheval
- School of Bioengineering and BioinformaticsLomonosov Moscow State UniversityMoscowRussia
- Belozersky Institute of Physico‐Chemical BiologyLomonosov Moscow State UniversityMoscowRussia
- Department of Cell Biology and Histology, School of BiologyLomonosov Moscow State UniversityMoscowRussia
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6
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Jackson RM, Hatton CF, Spegarova JS, Georgiou M, Collin J, Stephenson E, Verdon B, Haq IJ, Hussain R, Coxhead JM, Mudhar HS, Wagner B, Hasoon M, Davey T, Rooney P, Khan CMA, Ward C, Brodlie M, Haniffa M, Hambleton S, Armstrong L, Figueiredo F, Queen R, Duncan CJA, Lako M. Conjunctival epithelial cells resist productive SARS-CoV-2 infection. Stem Cell Reports 2022; 17:1699-1713. [PMID: 35750043 PMCID: PMC9222349 DOI: 10.1016/j.stemcr.2022.05.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 05/23/2022] [Accepted: 05/24/2022] [Indexed: 12/01/2022] Open
Abstract
Conjunctival epithelial cells, which express viral-entry receptors angiotensin-converting enzyme 2 (ACE2) and transmembrane protease serine type 2 (TMPRSS2), constitute the largest exposed epithelium of the ocular surface tissue and may represent a relevant viral-entry route. To address this question, we generated an organotypic air-liquid-interface model of conjunctival epithelium, composed of basal, suprabasal, and superficial epithelial cells, and fibroblasts, which could be maintained successfully up to day 75 of differentiation. Using single-cell RNA sequencing (RNA-seq), with complementary imaging and virological assays, we observed that while all conjunctival cell types were permissive to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome expression, a productive infection did not ensue. The early innate immune response to SARS-CoV-2 infection in conjunctival cells was characterised by a robust autocrine and paracrine NF-κB activity, without activation of antiviral interferon signalling. Collectively, these data enrich our understanding of SARS-CoV-2 infection at the human ocular surface, with potential implications for the design of preventive strategies and conjunctival transplantation.
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Affiliation(s)
- Robert M Jackson
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Catherine F Hatton
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | | | - Maria Georgiou
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Joseph Collin
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Emily Stephenson
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Bernard Verdon
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Iram J Haq
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Rafiqul Hussain
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | | | - Hardeep-Singh Mudhar
- National Specialist Ophthalmic Pathology Service (NSOPS) Department of Histopathology, E-Floor, Royal Hallamshire Hospital, Sheffield, UK
| | - Bart Wagner
- Electron Microscopy Unit, Royal Hallamshire Hospital, Sheffield, UK
| | - Megan Hasoon
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Tracey Davey
- Electron Microscopy Unit, Royal Hallamshire Hospital, Sheffield, UK
| | - Paul Rooney
- NHS Blood and Transplant Tissue and Eye Services, Liverpool, UK
| | - C M Anjam Khan
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Chris Ward
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Malcolm Brodlie
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Muzlifah Haniffa
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK; Department of Dermatology and NIHR Newcastle Biomedical Research Centre, Newcastle Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK; Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Sophie Hambleton
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Lyle Armstrong
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Francisco Figueiredo
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK; Department of Ophthalmology, Royal Victoria Infirmary and Newcastle University, Newcastle, UK
| | - Rachel Queen
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK.
| | - Christopher J A Duncan
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, UK.
| | - Majlinda Lako
- Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK.
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7
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Application Progress of High-Throughput Sequencing in Ocular Diseases. J Clin Med 2022; 11:jcm11123485. [PMID: 35743555 PMCID: PMC9225376 DOI: 10.3390/jcm11123485] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 06/11/2022] [Accepted: 06/16/2022] [Indexed: 02/01/2023] Open
Abstract
Ocular diseases affect multiple eye parts and can be caused by pathogenic infections, complications of systemic diseases, genetics, environment, and old age. Understanding the etiology and pathogenesis of eye diseases and improving their diagnosis and treatment are critical for preventing any adverse consequences of these diseases. Recently, the advancement of high-throughput sequencing (HTS) technology has paved wide prospects for identifying the pathogenesis, signaling pathways, and biomarkers involved in eye diseases. Due to the advantages of HTS in nucleic acid sequence recognition, HTS has not only identified several normal ocular surface microorganisms but has also discovered many pathogenic bacteria, fungi, parasites, and viruses associated with eye diseases, including rare pathogens that were previously difficult to identify. At present, HTS can directly sequence RNA, which will promote research on the occurrence, development, and underlying mechanism of eye diseases. Although HTS has certain limitations, including low effectiveness, contamination, and high cost, it is still superior to traditional diagnostic methods for its efficient and comprehensive diagnosis of ocular diseases. This review summarizes the progress of the application of HTS in ocular diseases, intending to explore the pathogenesis of eye diseases and improve their diagnosis.
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Maurya R, Shamim U, Chattopadhyay P, Mehta P, Mishra P, Devi P, Swaminathan A, Saifi S, Khare K, Yadav A, Parveen S, Sharma P, A V, Tyagi A, Jha V, Tarai B, Jha S, Faruq M, Budhiraja S, Pandey R. Human-host transcriptomic analysis reveals unique early innate immune responses in different sub-phenotypes of COVID-19. Clin Transl Med 2022; 12:e856. [PMID: 35696527 PMCID: PMC9191825 DOI: 10.1002/ctm2.856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 04/12/2022] [Accepted: 04/18/2022] [Indexed: 11/12/2022] Open
Affiliation(s)
- Ranjeet Maurya
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Uzma Shamim
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Partha Chattopadhyay
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Priyanka Mehta
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Pallavi Mishra
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Priti Devi
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Aparna Swaminathan
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Sheeba Saifi
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Kriti Khare
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Aanchal Yadav
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Shaista Parveen
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India
| | - Pooja Sharma
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Vivekanand A
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Akansha Tyagi
- Max Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, Delhi, India
| | - Vinita Jha
- Max Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, Delhi, India
| | - Bansidhar Tarai
- Max Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, Delhi, India
| | - Sujeet Jha
- Max Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, Delhi, India
| | - Mohd Faruq
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Sandeep Budhiraja
- Max Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, Delhi, India
| | - Rajesh Pandey
- INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
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