1
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Myburgh L, Karsjens H, Blanas A, de Ligt A, van Loon K, Huijbers EJM, van Beijnum JR, Engbersen DJM, Rekiki A, Mignon C, Vratskikh O, Griffioen AW. Targeting the early life stages of SARS-CoV-2 using a multi-peptide conjugate vaccine. Vaccine 2025; 54:126989. [PMID: 40088511 DOI: 10.1016/j.vaccine.2025.126989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Revised: 02/26/2025] [Accepted: 03/01/2025] [Indexed: 03/17/2025]
Abstract
The spike glycoprotein is a key factor in the infection cycle of SARS-CoV-2, as it mediates both receptor recognition and membrane fusion by the virus. Therefore, in this study, we aimed to design a multi-peptide conjugate vaccine against SARS-CoV-2, targeting the early stages of the virus's life cycle. We used iBoost technology, which is designed to induce immune responses against low- or non-immunogenic epitopes. We selected six peptide sequences, each representing a key domain of the spike protein (i.e., receptor binding domain (RBM), subdomain 1 (SD1), subdomain 2 (SD2), S1/S2, fusion peptide and the S2' sequences (FP + S2'), heptad repeat 1 (HR1)). Immunization studies in mice displayed targeted humoral and cellular immune responses against specific peptides of the spike protein simultaneously, while inducing cross-protection against the Delta and Omicron coronavirus variants. Moreover, vaccinated hamsters challenged with SARS-CoV-2 elicited high antibody levels against key peptides, induced early neutralizing antibody responses and resulted in less weight loss compared to controls. This highlights the potential for improving viral control and disease outcomes when utilizing this strategy. Therefore, by using iBoost technology in conjunction with our peptide design strategy, we were able to successfully target non-immunodominant regions in the spike protein while activating both arms of the adaptive immune system.
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MESH Headings
- Animals
- SARS-CoV-2/immunology
- Spike Glycoprotein, Coronavirus/immunology
- Spike Glycoprotein, Coronavirus/chemistry
- Antibodies, Neutralizing/immunology
- Antibodies, Neutralizing/blood
- COVID-19 Vaccines/immunology
- COVID-19 Vaccines/administration & dosage
- Antibodies, Viral/blood
- Antibodies, Viral/immunology
- Mice
- COVID-19/prevention & control
- COVID-19/immunology
- Vaccines, Subunit/immunology
- Vaccines, Subunit/administration & dosage
- Cricetinae
- Vaccines, Conjugate/immunology
- Vaccines, Conjugate/administration & dosage
- Female
- Mice, Inbred BALB C
- Immunity, Cellular
- Humans
- Cross Protection
- Immunity, Humoral
- Epitopes/immunology
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Affiliation(s)
- Lauren Myburgh
- Angiogenesis Laboratory, Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Haiko Karsjens
- Angiogenesis Laboratory, Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Athanasios Blanas
- Angiogenesis Laboratory, Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Aafke de Ligt
- Angiogenesis Laboratory, Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Karlijn van Loon
- Angiogenesis Laboratory, Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Elisabeth J M Huijbers
- Angiogenesis Laboratory, Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; CimCure BV, Amsterdam, the Netherlands
| | - Judy R van Beijnum
- Angiogenesis Laboratory, Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; CimCure BV, Amsterdam, the Netherlands
| | | | | | | | | | - Arjan W Griffioen
- Angiogenesis Laboratory, Department of Medical Oncology, Cancer Center Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; CimCure BV, Amsterdam, the Netherlands.
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2
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Yan Q, Zhang Y, Hou R, Pan W, Liang H, Gao X, Deng W, Huang X, Qu L, Tang C, He P, Liu B, Wang Q, Zhao X, Lin Z, Chen Z, Li P, Han J, Xiong X, Zhao J, Li S, Niu X, Chen L. Deep immunoglobulin repertoire sequencing depicts a comprehensive atlas of spike-specific antibody lineages shared among COVID-19 convalescents. Emerg Microbes Infect 2024; 13:2290841. [PMID: 38044868 PMCID: PMC10810631 DOI: 10.1080/22221751.2023.2290841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 11/29/2023] [Indexed: 12/05/2023]
Abstract
Neutralizing antibodies are a key component in protective humoral immunity against SARS-CoV-2. Currently, available technologies cannot track epitope-specific antibodies in global antibody repertoires. Thus, the comprehensive repertoire of spike-specific neutralizing antibodies elicited by SARS-CoV-2 infection is not fully understood. We therefore combined high-throughput immunoglobulin heavy chain (IgH) repertoire sequencing, and structural and bioinformatics analysis to establish an antibodyomics pipeline, which enables tracking spike-specific antibody lineages that target certain neutralizing epitopes. We mapped the neutralizing epitopes on the spike and determined the epitope-preferential antibody lineages. This analysis also revealed numerous overlaps between immunodominant neutralizing antibody-binding sites and mutation hotspots on spikes as observed so far in SARS-CoV-2 variants. By clustering 2677 spike-specific antibodies with 360 million IgH sequences that we sequenced, a total of 329 shared spike-specific antibody clonotypes were identified from 33 COVID-19 convalescents and 24 SARS-CoV-2-naïve individuals. Epitope mapping showed that the shared antibody responses target not only neutralizing epitopes on RBD and NTD but also non-neutralizing epitopes on S2. The immunodominance of neutralizing antibody response is determined by the occurrence of specific precursors in human naïve B-cell repertoires. We identified that only 28 out of the 329 shared spike-specific antibody clonotypes persisted for at least 12 months. Among them, long-lived IGHV3-53 antibodies are likely to evolve cross-reactivity to Omicron variants through accumulating somatic hypermutations. Altogether, we created a comprehensive atlas of spike-targeting antibody lineages in COVID-19 convalescents and antibody precursors in human naïve B cell repertoires, providing a valuable reference for future vaccine design and evaluation.
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Affiliation(s)
- Qihong Yan
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Yudi Zhang
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- University of Chinese Academy of Science, Beijing, People’s Republic of China
| | - Ruitian Hou
- Guangzhou Institute of Infectious Disease, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Wenjing Pan
- Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
- Nanjing ARP Biotechnology Co., Ltd, Nanjing, People’s Republic of China
| | - Huan Liang
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Xijie Gao
- Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Weiqi Deng
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- University of Chinese Academy of Science, Beijing, People’s Republic of China
| | - Xiaohan Huang
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Linbing Qu
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Congli Tang
- Nanjing ARP Biotechnology Co., Ltd, Nanjing, People’s Republic of China
| | - Ping He
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
| | - Banghui Liu
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Qian Wang
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
| | - Xinwei Zhao
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
| | - Zihan Lin
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- University of Chinese Academy of Science, Beijing, People’s Republic of China
| | - Zhaoming Chen
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Pingchao Li
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Jian Han
- iRepertoire Inc., Huntsville, AL, USA
| | - Xiaoli Xiong
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
| | - Jincun Zhao
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
| | - Song Li
- Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
| | - Xuefeng Niu
- State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Ling Chen
- State Key Laboratory of Respiratory Disease, Guangdong Laboratory of Computational Biomedicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People’s Republic of China
- Guangzhou Institute of Infectious Disease, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, People’s Republic of China
- Guangzhou National Laboratory, Guangzhou, People’s Republic of China
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3
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Piña A, Elko EA, Caballero R, Metrailer M, Mulrow M, Quan D, Nordstrom L, Altin JA, Ladner JT. Mapping disparities in viral infection rates using highly multiplexed serology. mSphere 2024; 9:e0012724. [PMID: 39162531 PMCID: PMC11423740 DOI: 10.1128/msphere.00127-24] [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: 02/19/2024] [Accepted: 07/21/2024] [Indexed: 08/21/2024] Open
Abstract
Despite advancements in medical interventions, the disease burden caused by viral pathogens remains large and highly diverse. This burden includes the wide range of signs and symptoms associated with active viral replication as well as a variety of clinical sequelae of infection. Moreover, there is growing evidence supporting the existence of sex- and ethnicity-based health disparities linked to viral infections and their associated diseases. Despite several well-documented disparities in viral infection rates, our current understanding of virus-associated health disparities remains incomplete. This knowledge gap can be attributed, in part, to limitations of the most commonly used viral detection methodologies, which lack the breadth needed to characterize exposures across the entire virome. Additionally, virus-related health disparities are dynamic and often differ considerably through space and time. In this study, we utilize PepSeq, an approach for highly multiplexed serology, to broadly assess an individual's history of viral exposures, and we demonstrate the effectiveness of this approach for detecting infection disparities through a pilot study of 400 adults aged 30-60 in Phoenix, AZ. Using a human virome PepSeq library, we observed expected seroprevalence rates for several common viruses and detected both expected and previously undocumented differences in inferred rates of infection between our male/female and Hispanic/non-Hispanic White individuals. IMPORTANCE Our understanding of population-level virus infection rates and associated health disparities is incomplete. In part, this is because of the high diversity of human-infecting viruses and the limited breadth and sensitivity of traditional approaches for detecting infection events. Here, we demonstrate the potential for modern, highly multiplexed antibody detection methods to greatly increase our understanding of disparities in rates of infection across subpopulations (e.g., different sexes or ethnic groups). The use of antibodies as biomarkers allows us to detect evidence of past infections over an extended period, and our approach for highly multiplexed serology (PepSeq) allows us to measure antibody responses against hundreds of viruses in an efficient and cost-effective manner.
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Affiliation(s)
- Alejandra Piña
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
| | - Evan A Elko
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
| | | | - Morgan Metrailer
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
| | | | - Dan Quan
- Valleywise Health, Phoenix, Arizona, USA
- University of Arizona, College of Medicine, Phoenix, Arizona, USA
- Creighton University, School of Medicine, Phoenix, Arizona, USA
| | | | - John A Altin
- The Translational Genomics Research Institute (TGen), Flagstaff, Arizona, USA
| | - Jason T Ladner
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
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4
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Jones CW, Overbey EG, Lacombe J, Ecker AJ, Meydan C, Ryon K, Tierney B, Damle N, MacKay M, Afshin EE, Foox J, Park J, Nelson TM, Suhail Mohamad M, Byhaqui SGA, Aslam B, Tali UA, Nisa L, Menon PV, Patel CO, Khan SA, Ebert DJ, Everson A, Schubert MC, Ali NN, Sarma MS, Kim J, Houerbi N, Grigorev K, Garcia Medina JS, Summers AJ, Gu J, Altin JA, Fattahi A, Hirzallah MI, Wu JH, Stahn AC, Beheshti A, Klotz R, Ortiz V, Yu M, Patras L, Matei I, Lyden D, Melnick A, Banerjee N, Mullane S, Kleinman AS, Loesche M, Menon AS, Donoviel DB, Urquieta E, Mateus J, Sargsyan AE, Shelhamer M, Zenhausern F, Bershad EM, Basner M, Mason CE. Molecular and physiological changes in the SpaceX Inspiration4 civilian crew. Nature 2024; 632:1155-1164. [PMID: 38862026 PMCID: PMC11357997 DOI: 10.1038/s41586-024-07648-x] [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: 02/03/2023] [Accepted: 06/03/2024] [Indexed: 06/13/2024]
Abstract
Human spaceflight has historically been managed by government agencies, such as in the NASA Twins Study1, but new commercial spaceflight opportunities have opened spaceflight to a broader population. In 2021, the SpaceX Inspiration4 mission launched the first all-civilian crew to low Earth orbit, which included the youngest American astronaut (aged 29), new in-flight experimental technologies (handheld ultrasound imaging, smartwatch wearables and immune profiling), ocular alignment measurements and new protocols for in-depth, multi-omic molecular and cellular profiling. Here we report the primary findings from the 3-day spaceflight mission, which induced a broad range of physiological and stress responses, neurovestibular changes indexed by ocular misalignment, and altered neurocognitive functioning, some of which match those of long-term spaceflight2, but almost all of which did not differ from baseline (pre-flight) after return to Earth. Overall, these preliminary civilian spaceflight data suggest that short-duration missions do not pose a significant health risk, and moreover present a rich opportunity to measure the earliest phases of adaptation to spaceflight in the human body at anatomical, cellular, physiological and cognitive levels. Finally, these methods and results lay the foundation for an open, rapidly expanding biomedical database for astronauts3, which can inform countermeasure development for both private and government-sponsored space missions.
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Affiliation(s)
- Christopher W Jones
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Eliah G Overbey
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
- Center for STEM, University of Austin, Austin, TX, USA
| | - Jerome Lacombe
- Center for Applied Nanobioscience and Medicine, College of Medicine-Phoenix, University of Arizona, Phoenix, AZ, USA
- Department of Basic Medical Sciences, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Adrian J Ecker
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Cem Meydan
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Krista Ryon
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Braden Tierney
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Namita Damle
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Matthew MacKay
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Evan E Afshin
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Jonathan Foox
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Jiwoon Park
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Theodore M Nelson
- Department of Microbiology & Immunology, Vagelos College of Physicians & Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | | | | | | | | | | | | | | | | | | | | | - Michael C Schubert
- Department of Otolaryngology - Head & Neck Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nabila N Ali
- Department of Otolaryngology - Head & Neck Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mallika S Sarma
- Department of Otolaryngology - Head & Neck Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - JangKeun Kim
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Nadia Houerbi
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Kirill Grigorev
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - J Sebastian Garcia Medina
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Alexander J Summers
- Center for Applied Nanobioscience and Medicine, College of Medicine-Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Jian Gu
- Center for Applied Nanobioscience and Medicine, College of Medicine-Phoenix, University of Arizona, Phoenix, AZ, USA
- Department of Basic Medical Sciences, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
| | - John A Altin
- The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Ali Fattahi
- Center for Applied Nanobioscience and Medicine, College of Medicine-Phoenix, University of Arizona, Phoenix, AZ, USA
| | - Mohammad I Hirzallah
- Departments of Neurology and Neurosurgery, Baylor College of Medicine, Houston, TX, USA
- Center for Space Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Jimmy H Wu
- Center for Space Medicine, Baylor College of Medicine, Houston, TX, USA
- The Translational Research Institute for Space Health (TRISH), Houston, TX, USA
| | - Alexander C Stahn
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Afshin Beheshti
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Blue Marble Space Institute of Science, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA
| | - Remi Klotz
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Veronica Ortiz
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Min Yu
- Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Laura Patras
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics and Cell and Developmental Biology, Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY, USA
- Department of Molecular Biology and Biotechnology, Center of Systems Biology, Biodiversity and Bioresources, Faculty of Biology and Geology, Babes-Bolyai University, Cluj-Napoca, Romania
| | - Irina Matei
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics and Cell and Developmental Biology, Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - David Lyden
- Children's Cancer and Blood Foundation Laboratories, Departments of Pediatrics and Cell and Developmental Biology, Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Ari Melnick
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | | | - Ashley S Kleinman
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | | | - Anil S Menon
- University of Texas, Department of Emergency Medicine, Houston, TX, USA
| | - Dorit B Donoviel
- Center for Space Medicine, Baylor College of Medicine, Houston, TX, USA
- The Translational Research Institute for Space Health (TRISH), Houston, TX, USA
| | - Emmanuel Urquieta
- Center for Space Medicine, Baylor College of Medicine, Houston, TX, USA
- The Translational Research Institute for Space Health (TRISH), Houston, TX, USA
| | | | | | - Mark Shelhamer
- Department of Otolaryngology - Head & Neck Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Frederic Zenhausern
- Center for Applied Nanobioscience and Medicine, College of Medicine-Phoenix, University of Arizona, Phoenix, AZ, USA
- Department of Basic Medical Sciences, College of Medicine Phoenix, University of Arizona, Phoenix, AZ, USA
- The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
- Department of Biomedical Engineering, University of Arizona, Tucson, AZ, USA
| | - Eric M Bershad
- Departments of Neurology and Neurosurgery, Baylor College of Medicine, Houston, TX, USA
- Center for Space Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Mathias Basner
- Unit for Experimental Psychiatry, Division of Sleep and Chronobiology, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Christopher E Mason
- Department of Physiology, Biophysics and Medicine, Weill Cornell Medicine, New York, NY, USA.
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
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5
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Davis MM, Halasyamani LK. COVID-19 Vaccination and Parent-Reported Symptomatic Child Asthma Prevalence. JAMA Netw Open 2024; 7:e2419979. [PMID: 38958981 PMCID: PMC11222989 DOI: 10.1001/jamanetworkopen.2024.19979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 04/29/2024] [Indexed: 07/04/2024] Open
Abstract
This cross-sectional study evaluates the association between COVID-19 vaccination and symptomatic child asthma.
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Affiliation(s)
| | - Lakshmi K. Halasyamani
- Endeavor Health, Evanston, Illinois
- University of Chicago Pritzker School of Medicine, Chicago, Illinois
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6
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Lee R, Cheng S, Zhao J, Tsoi A, Lau K, Chan C, Li J, Hui D, Peiris M, Yen H. Cross-Reactive Antibody Responses to Coronaviruses Elicited by SARS-CoV-2 Infection or Vaccination. Influenza Other Respir Viruses 2024; 18:e13309. [PMID: 38725111 PMCID: PMC11082085 DOI: 10.1111/irv.13309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 03/28/2024] [Accepted: 04/19/2024] [Indexed: 05/13/2024] Open
Abstract
BACKGROUND The newly emerged SARS-CoV-2 possesses shared antigenic epitopes with other human coronaviruses. We investigated if COVID-19 vaccination or SARS-CoV-2 infection may boost cross-reactive antibodies to other human coronaviruses. METHODS Prevaccination and postvaccination sera from SARS-CoV-2 naïve healthy subjects who received three doses of the mRNA vaccine (BioNTech, BNT) or the inactivated vaccine (CoronaVac, CV) were used to monitor the level of cross-reactive antibodies raised against other human coronaviruses by enzyme-linked immunosorbent assay. In comparison, convalescent sera from COVID-19 patients with or without prior vaccination history were also tested. Pseudoparticle neutralization assay was performed to detect neutralization antibody against MERS-CoV. RESULTS Among SARS-CoV-2 infection-naïve subjects, BNT or CV significantly increased the anti-S2 antibodies against Betacoronaviruses (OC43 and MERS-CoV) but not Alphacoronaviruses (229E). The prevaccination antibody response to the common cold human coronaviruses did not negatively impact the postvaccination antibody response to SARS-CoV-2. Cross-reactive antibodies that binds to the S2 protein of MERS-CoV were similarly detected from the convalescent sera of COVID-19 patients with or without vaccination history. However, these anti-S2 antibodies do not possess neutralizing activity in MERS-CoV pseudoparticle neutralization tests. CONCLUSIONS Our results suggest that SARS-CoV-2 infection or vaccination may potentially modulate population immune landscape against previously exposed or novel human coronaviruses. The findings have implications for future sero-epidemiological studies on MERS-CoV.
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Affiliation(s)
- Richard S. H. Lee
- School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong KongChina
| | - Samuel M. S. Cheng
- School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong KongChina
| | - Jin Zhao
- School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong KongChina
| | - Annie Y. S. Tsoi
- School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong KongChina
| | - Kaman K. M. Lau
- School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong KongChina
| | - CoCo H. C. Chan
- School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong KongChina
| | - John K. C. Li
- School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong KongChina
| | - David S. C. Hui
- Department of Medicine and TherapeuticsCUHK, Prince of Wales HospitalHong KongChina
| | - Malik Peiris
- School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong KongChina
- Centre for Immunology & InfectionHong Kong Science ParkHong KongChina
| | - Hui‐Ling Yen
- School of Public Health, LKS Faculty of MedicineThe University of Hong KongHong KongChina
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7
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Qian J, Zhang S, Wang F, Li J, Zhang J. What makes SARS-CoV-2 unique? Focusing on the spike protein. Cell Biol Int 2024; 48:404-430. [PMID: 38263600 DOI: 10.1002/cbin.12130] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/25/2023] [Accepted: 01/02/2024] [Indexed: 01/25/2024]
Abstract
Severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) seriously threatens public health and safety. Genetic variants determine the expression of SARS-CoV-2 structural proteins, which are associated with enhanced transmissibility, enhanced virulence, and immune escape. Vaccination is encouraged as a public health intervention, and different types of vaccines are used worldwide. However, new variants continue to emerge, especially the Omicron complex, and the neutralizing antibody responses are diminished significantly. In this review, we outlined the uniqueness of SARS-CoV-2 from three perspectives. First, we described the detailed structure of the spike (S) protein, which is highly susceptible to mutations and contributes to the distinct infection cycle of the virus. Second, we systematically summarized the immunoglobulin G epitopes of SARS-CoV-2 and highlighted the central role of the nonconserved regions of the S protein in adaptive immune escape. Third, we provided an overview of the vaccines targeting the S protein and discussed the impact of the nonconserved regions on vaccine effectiveness. The characterization and identification of the structure and genomic organization of SARS-CoV-2 will help elucidate its mechanisms of viral mutation and infection and provide a basis for the selection of optimal treatments. The leaps in advancements regarding improved diagnosis, targeted vaccines and therapeutic remedies provide sound evidence showing that scientific understanding, research, and technology evolved at the pace of the pandemic.
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Affiliation(s)
- Jingbo Qian
- Department of Laboratory Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
| | - Shichang Zhang
- Department of Clinical Laboratory Medicine, Shenzhen Hospital of Southern Medical University, Shenzhen, China
| | - Fang Wang
- Department of Laboratory Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
| | - Jinming Li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, China
| | - Jiexin Zhang
- Department of Laboratory Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
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8
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Elko EA, Mead HL, Nelson GA, Zaia JA, Ladner JT, Altin JA. Recurrent SARS-CoV-2 mutations at Spike D796 evade antibodies from pre-Omicron convalescent and vaccinated subjects. Microbiol Spectr 2024; 12:e0329123. [PMID: 38189279 PMCID: PMC10871546 DOI: 10.1128/spectrum.03291-23] [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: 09/06/2023] [Accepted: 12/03/2023] [Indexed: 01/09/2024] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineages of the Omicron variant rapidly became dominant in early 2022 and frequently cause human infections despite vaccination or prior infection with other variants. In addition to antibody-evading mutations in the receptor-binding domain, Omicron features amino acid mutations elsewhere in the Spike protein; however, their effects generally remain ill defined. The Spike D796Y substitution is present in all Omicron sub-variants and occurs at the same site as a mutation (D796H) selected during viral evolution in a chronically infected patient. Here, we map antibody reactivity to a linear epitope in the Spike protein overlapping position 796. We show that antibodies binding this region arise in pre-Omicron SARS-CoV-2 convalescent and vaccinated subjects but that both D796Y and D796H abrogate their binding. These results suggest that D796Y contributes to the fitness of Omicron in hosts with pre-existing immunity to other variants of SARS-CoV-2 by evading antibodies targeting this site.IMPORTANCESevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has evolved substantially through the coronavirus disease 2019 (COVID-19) pandemic: understanding the drivers and consequences of this evolution is essential for projecting the course of the pandemic and developing new countermeasures. Here, we study the immunological effects of a particular mutation present in the Spike protein of all Omicron strains and find that it prevents the efficient binding of a class of antibodies raised by pre-Omicron vaccination and infection. These findings reveal a novel consequence of a poorly understood Omicron mutation and shed light on the drivers and effects of SARS-CoV-2 evolution.
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Affiliation(s)
- Evan A. Elko
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
| | - Heather L. Mead
- The Translational Genomics Research Institute (TGen), Flagstaff, Arizona, USA
| | - Georgia A. Nelson
- The Translational Genomics Research Institute (TGen), Flagstaff, Arizona, USA
| | - John A. Zaia
- Center for Gene Therapy, Department of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, California, USA
| | - Jason T. Ladner
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA
| | - John A. Altin
- The Translational Genomics Research Institute (TGen), Flagstaff, Arizona, USA
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9
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Gupta S, Pellett S. Recent Developments in Vaccine Design: From Live Vaccines to Recombinant Toxin Vaccines. Toxins (Basel) 2023; 15:563. [PMID: 37755989 PMCID: PMC10536331 DOI: 10.3390/toxins15090563] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/28/2023] [Accepted: 08/31/2023] [Indexed: 09/28/2023] Open
Abstract
Vaccines are one of the most effective strategies to prevent pathogen-induced illness in humans. The earliest vaccines were based on live inoculations with low doses of live or related pathogens, which carried a relatively high risk of developing the disease they were meant to prevent. The introduction of attenuated and killed pathogens as vaccines dramatically reduced these risks; however, attenuated live vaccines still carry a risk of reversion to a pathogenic strain capable of causing disease. This risk is completely eliminated with recombinant protein or subunit vaccines, which are atoxic and non-infectious. However, these vaccines require adjuvants and often significant optimization to induce robust T-cell responses and long-lasting immune memory. Some pathogens produce protein toxins that cause or contribute to disease. To protect against the effects of such toxins, chemically inactivated toxoid vaccines have been found to be effective. Toxoid vaccines are successfully used today at a global scale to protect against tetanus and diphtheria. Recent developments for toxoid vaccines are investigating the possibilities of utilizing recombinant protein toxins mutated to eliminate biologic activity instead of chemically inactivated toxins. Finally, one of the most contemporary approaches toward vaccine design utilizes messenger RNA (mRNA) as a vaccine candidate. This approach was used globally to protect against coronavirus disease during the COVID-19 pandemic that began in 2019, due to its advantages of quick production and scale-up, and effectiveness in eliciting a neutralizing antibody response. Nonetheless, mRNA vaccines require specialized storage and transport conditions, posing challenges for low- and middle-income countries. Among multiple available technologies for vaccine design and formulation, which technology is most appropriate? This review focuses on the considerable developments that have been made in utilizing diverse vaccine technologies with a focus on vaccines targeting bacterial toxins. We describe how advancements in vaccine technology, combined with a deeper understanding of pathogen-host interactions, offer exciting and promising avenues for the development of new and improved vaccines.
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Affiliation(s)
| | - Sabine Pellett
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI 53706, USA;
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10
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Kelley EJ, Henson SN, Rahee F, Boyle AS, Engelbrektson AL, Nelson GA, Mead HL, Anderson NL, Razavi M, Yip R, Ladner JT, Scriba TJ, Altin JA. Virome-wide detection of natural infection events and the associated antibody dynamics using longitudinal highly-multiplexed serology. Nat Commun 2023; 14:1783. [PMID: 36997517 PMCID: PMC10062260 DOI: 10.1038/s41467-023-37378-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 03/07/2023] [Indexed: 04/03/2023] Open
Abstract
Current methods for detecting infections either require a sample collected from an actively infected site, are limited in the number of agents they can query, and/or yield no information on the immune response. Here we present an approach that uses temporally coordinated changes in highly-multiplexed antibody measurements from longitudinal blood samples to monitor infection events at sub-species resolution across the human virome. In a longitudinally-sampled cohort of South African adolescents representing >100 person-years, we identify >650 events across 48 virus species and observe strong epidemic effects, including high-incidence waves of Aichivirus A and the D68 subtype of Enterovirus D earlier than their widespread circulation was appreciated. In separate cohorts of adults who were sampled at higher frequency using self-collected dried blood spots, we show that such events temporally correlate with symptoms and transient inflammatory biomarker elevations, and observe the responding antibodies to persist for periods ranging from ≤1 week to >5 years. Our approach generates a rich view of viral/host dynamics, supporting novel studies in immunology and epidemiology.
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Affiliation(s)
- Erin J Kelley
- The Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA
| | - Sierra N Henson
- The Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA
| | - Fatima Rahee
- The Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA
| | - Annalee S Boyle
- The Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA
| | - Anna L Engelbrektson
- The Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA
| | - Georgia A Nelson
- The Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA
| | - Heather L Mead
- The Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA
| | | | | | - Richard Yip
- SISCAPA Assay Technologies, Inc., Washington, DC, USA
| | - Jason T Ladner
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Thomas J Scriba
- South African Tuberculosis Vaccine Initiative and Institute of Infectious Disease and Molecular Medicine, Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - John A Altin
- The Translational Genomics Research Institute (TGen), Flagstaff and Phoenix, AZ, USA.
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11
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Henson SN, Elko EA, Swiderski PM, Liang Y, Engelbrektson AL, Piña A, Boyle AS, Fink Z, Facista SJ, Martinez V, Rahee F, Brown A, Kelley EJ, Nelson GA, Raspet I, Mead HL, Altin JA, Ladner JT. PepSeq: a fully in vitro platform for highly multiplexed serology using customizable DNA-barcoded peptide libraries. Nat Protoc 2023; 18:396-423. [PMID: 36385198 PMCID: PMC10339795 DOI: 10.1038/s41596-022-00766-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 08/22/2022] [Indexed: 11/17/2022]
Abstract
PepSeq is an in vitro platform for building and conducting highly multiplexed proteomic assays against customizable targets by using DNA-barcoded peptides. Starting with a pool of DNA oligonucleotides encoding peptides of interest, this protocol outlines a fully in vitro and massively parallel procedure for synthesizing the encoded peptides and covalently linking each to a corresponding cDNA tag. The resulting libraries of peptide/DNA conjugates can be used for highly multiplexed assays that leverage high-throughput sequencing to profile the binding or enzymatic specificities of proteins of interest. Here, we describe the implementation of PepSeq for fast and cost-effective epitope-level analysis of antibody reactivity across hundreds of thousands of peptides from <1 µl of serum or plasma input. This protocol includes the design of the DNA oligonucleotide library, synthesis of DNA-barcoded peptide constructs, binding of constructs to sample, preparation for sequencing and data analysis. Implemented in this way, PepSeq can be used for a number of applications, including fine-scale mapping of antibody epitopes and determining a subject's pathogen exposure history. The protocol is divided into two main sections: (i) design and synthesis of DNA-barcoded peptide libraries and (ii) use of libraries for highly multiplexed serology. Once oligonucleotide templates are in hand, library synthesis takes 1-2 weeks and can provide enough material for hundreds to thousands of assays. Serological assays can be conducted in 96-well plates and generate sequencing data within a further ~4 d. A suite of software tools, including the PepSIRF package, are made available to facilitate the design of PepSeq libraries and analysis of assay data.
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Affiliation(s)
- Sierra N Henson
- The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Evan A Elko
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Piotr M Swiderski
- DNA/RNA Synthesis Laboratory, Department of Molecular Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | - Yong Liang
- DNA/RNA Synthesis Laboratory, Department of Molecular Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, USA
| | | | - Alejandra Piña
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Annalee S Boyle
- The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Zane Fink
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | | | - Vidal Martinez
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Fatima Rahee
- The Translational Genomics Research Institute (TGen), Phoenix, AZ, USA
| | - Annabelle Brown
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Erin J Kelley
- The Translational Genomics Research Institute (TGen), Flagstaff, AZ, USA
| | - Georgia A Nelson
- The Translational Genomics Research Institute (TGen), Flagstaff, AZ, USA
| | - Isaiah Raspet
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA
| | - Heather L Mead
- The Translational Genomics Research Institute (TGen), Flagstaff, AZ, USA
| | - John A Altin
- The Translational Genomics Research Institute (TGen), Flagstaff, AZ, USA.
| | - Jason T Ladner
- The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
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