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Zambre S, Katarmal P, Pawar S, Dawkhar S, Iyer P, Rajput V, Kadam P, Bhalerao U, Tupekar M, Shah P, Karmodiya K, Dharne M, Roy B, Koraktar S. Wastewater surveillance of severe acute respiratory syndrome coronavirus-2 in open drains of two Indian megacities captures evolutionary lineage transitions: a zonation approach. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:49670-49681. [PMID: 39078552 DOI: 10.1007/s11356-024-34448-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 07/18/2024] [Indexed: 07/31/2024]
Abstract
Wastewater-based environmental surveillance (WBES) has been proven as proxy tool for monitoring nucleic acids of pathogens shed by infected population before clinical outcomes. The poor sewershed network of low to middle-income countries (LMICs) leads to most of the wastewater flow through open drains. We studied the effectiveness of WBES using open drain samples to monitor the emergence of the SARS-CoV-2 variants in 2 megacities of India having dense population through zonation approach. Samples from 28 locations spanned into 5 zones of Pune region, Maharashtra, India, were collected on a weekly basis during October 2021 to July 2022. Out of 1115 total processed samples, 303 (~ 27%) tested positive for SARS-CoV-2. The periodical rise and fall in the percentage positivity of the samples was found to be in sync with the abundance of SARS-CoV-2 RNA and the reported COVID-19 active cases for Pune city. Sequencing of the RNA obtained from wastewater samples confirmed the presence of SARS-CoV-2. Of 337 sequences, lineage identification for 242 samples revealed 265 distinct SARS-CoV-2 variants including 10 highly transmissible ones. Importantly, transition from Delta to Omicron variant could be detected in wastewater samples 2 weeks prior to any clinically reported Omicron cases in India. Thus, this study demonstrates the usefulness of open drain samples for real-time monitoring of a viral pathogen's evolutionary dynamics and could be implemented in LMICs.
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Affiliation(s)
- Saee Zambre
- Symbiosis School of Biological Sciences, Symbiosis International (Deemed University), Lavale, Maharashtra, India
| | - Poonam Katarmal
- Symbiosis School of Biological Sciences, Symbiosis International (Deemed University), Lavale, Maharashtra, India
| | - Shubhankar Pawar
- Symbiosis School of Biological Sciences, Symbiosis International (Deemed University), Lavale, Maharashtra, India
| | - Snehal Dawkhar
- Symbiosis School of Biological Sciences, Symbiosis International (Deemed University), Lavale, Maharashtra, India
| | - Parvati Iyer
- Symbiosis School of Biological Sciences, Symbiosis International (Deemed University), Lavale, Maharashtra, India
| | - Vinay Rajput
- National Collection of Industrial Microorganisms (NCIM), Biochemical Sciences Division, CSIR-National Chemical Laboratory (NCL), Pune, Maharashtra, 411008, India
| | - Pradnya Kadam
- Department of Biology, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, 41108, India
| | - Unnati Bhalerao
- Department of Biology, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, 41108, India
| | - Manisha Tupekar
- Department of Biology, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, 41108, India
| | - Priyanki Shah
- Pune Knowledge Cluster (PKC), Savitribai Phule Pune University (SPPU), Pune, Maharashtra, India
| | - Krishanpal Karmodiya
- Department of Biology, Indian Institute of Science Education and Research (IISER), Pune, Maharashtra, 41108, India
| | - Mahesh Dharne
- National Collection of Industrial Microorganisms (NCIM), Biochemical Sciences Division, CSIR-National Chemical Laboratory (NCL), Pune, Maharashtra, 411008, India
| | - Bishnudeo Roy
- Symbiosis School of Biological Sciences, Symbiosis International (Deemed University), Lavale, Maharashtra, India
| | - Santosh Koraktar
- Symbiosis School of Biological Sciences, Symbiosis International (Deemed University), Lavale, Maharashtra, India.
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2
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Chatterjee S, Zaia J. Proteomics-based mass spectrometry profiling of SARS-CoV-2 infection from human nasopharyngeal samples. MASS SPECTROMETRY REVIEWS 2024; 43:193-229. [PMID: 36177493 PMCID: PMC9538640 DOI: 10.1002/mas.21813] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 09/07/2022] [Accepted: 09/09/2022] [Indexed: 05/12/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the on-going global pandemic of coronavirus disease 2019 (COVID-19) that continues to pose a significant threat to public health worldwide. SARS-CoV-2 encodes four structural proteins namely membrane, nucleocapsid, spike, and envelope proteins that play essential roles in viral entry, fusion, and attachment to the host cell. Extensively glycosylated spike protein efficiently binds to the host angiotensin-converting enzyme 2 initiating viral entry and pathogenesis. Reverse transcriptase polymerase chain reaction on nasopharyngeal swab is the preferred method of sample collection and viral detection because it is a rapid, specific, and high-throughput technique. Alternate strategies such as proteomics and glycoproteomics-based mass spectrometry enable a more detailed and holistic view of the viral proteins and host-pathogen interactions and help in detection of potential disease markers. In this review, we highlight the use of mass spectrometry methods to profile the SARS-CoV-2 proteome from clinical nasopharyngeal swab samples. We also highlight the necessity for a comprehensive glycoproteomics mapping of SARS-CoV-2 from biological complex matrices to identify potential COVID-19 markers.
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Affiliation(s)
- Sayantani Chatterjee
- Department of Biochemistry, Center for Biomedical Mass SpectrometryBoston University School of MedicineBostonMassachusettsUSA
| | - Joseph Zaia
- Department of Biochemistry, Center for Biomedical Mass SpectrometryBoston University School of MedicineBostonMassachusettsUSA
- Bioinformatics ProgramBoston University School of MedicineBostonMassachusettsUSA
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3
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Zhou L, Vestri A, Marchesano V, Rippa M, Sagnelli D, Picazio G, Fusco G, Han J, Zhou J, Petti L. The Label-Free Detection and Identification of SARS-CoV-2 Using Surface-Enhanced Raman Spectroscopy and Principal Component Analysis. BIOSENSORS 2023; 13:1014. [PMID: 38131774 PMCID: PMC10741931 DOI: 10.3390/bios13121014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 11/24/2023] [Accepted: 12/03/2023] [Indexed: 12/23/2023]
Abstract
The World Health Organization (WHO) declared in a May 2023 announcement that the COVID-19 illness is no longer categorized as a Public Health Emergency of International Concern (PHEIC); nevertheless, it is still considered an actual threat to world health, social welfare and economic stability. Consequently, the development of a convenient, reliable and affordable approach for detecting and identifying SARS-CoV-2 and its emerging new variants is crucial. The fingerprint and signal amplification characteristics of surface-enhanced Raman spectroscopy (SERS) could serve as an assay scheme for SARS-CoV-2. Here, we report a machine learning-based label-free SERS technique for the rapid and accurate detection and identification of SARS-CoV-2. The SERS spectra collected from samples of four types of coronaviruses on gold nanoparticles film, fabricated using a Langmuir-Blodgett self-assembly, can provide more spectroscopic signatures of the viruses and exhibit low limits of detection (<100 TCID50/mL or even <10 TCID50/mL). Furthermore, the key Raman bands of the SERS spectra were systematically captured by principal component analysis (PCA), which effectively distinguished SARS-CoV-2 and its variant from other coronaviruses. These results demonstrate that the combined use of SERS technology and PCA analysis has great potential for the rapid analysis and discrimination of multiple viruses and even newly emerging viruses without the need for a virus-specific probe.
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Affiliation(s)
- Lu Zhou
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China;
| | - Ambra Vestri
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
| | - Valentina Marchesano
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
| | - Massimo Rippa
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
| | - Domenico Sagnelli
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
| | - Gerardo Picazio
- Istituto Zooprofilattico Sperimentale del Mezzogiorno, 80055 Portici, Italy; (G.P.); (G.F.)
| | - Giovanna Fusco
- Istituto Zooprofilattico Sperimentale del Mezzogiorno, 80055 Portici, Italy; (G.P.); (G.F.)
| | - Jiaguang Han
- Center for Terahertz Waves and College of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China;
| | - Jun Zhou
- Department of Microelectronic Science and Engineering, School of Physical Science and Technology, Ningbo University, Ningbo 315211, China
| | - Lucia Petti
- Institute of Applied Sciences and Intelligent Systems of CNR, 80072 Pozzuoli, Italy; (L.Z.); (A.V.); (V.M.); (M.R.); (D.S.)
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Vecchio J, Regan J, Jiang Y, Li R, Romain H, Yousuf F, Adel T, Hall K, DaCosta JM, Yu X, Li JZ, Fofana IB. Viral and immunologic evaluation of smokers with severe COVID-19. Sci Rep 2023; 13:17898. [PMID: 37857680 PMCID: PMC10587108 DOI: 10.1038/s41598-023-45195-z] [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: 03/17/2023] [Accepted: 10/17/2023] [Indexed: 10/21/2023] Open
Abstract
Smoking negatively affects B cell function and immunoglobulin levels, but it is unclear if this immune dysfunction contributes to the risk of severe COVID-19 in smokers. We evaluated binding IgM, IgA and IgG antibodies to spike and receptor binding domain antigens, and used a pseudovirus assay to quantify neutralization titers in a set of 27 patients with severe COVID-19. We found no significant differences between binding and neutralization antibody responses for people with a smoking history and people who never smoked. High plasma viral load, but not antibody titers, was linked to an increased risk of death. Humoral immune dysfunction was not a major driver of severe COVID-19 in smokers.
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Affiliation(s)
- Joseph Vecchio
- Biology Department, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA, USA
| | - James Regan
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Yuting Jiang
- Biology Department, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA, USA
| | - Roy Li
- Biology Department, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA, USA
| | - Hannah Romain
- Biology Department, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA, USA
| | - Fizah Yousuf
- Biology Department, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA, USA
| | - Thomas Adel
- Biology Department, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA, USA
| | - Kevin Hall
- Biology Department, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA, USA
| | - Jeffrey M DaCosta
- Biology Department, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA, USA
| | - Xu Yu
- Ragon Institute of MGH, MIT and Harvard, Harvard Medical School, Cambridge, MA, USA
| | - Jonathan Z Li
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Ismael Ben Fofana
- Biology Department, Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA, USA.
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5
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Wang S, Zhong Y, Gong Z, Zhu X, Wen K, Wei S, He Z, Wang Z, Xiong J, Zhang S, Liu X, Zhang L, Shen J, Jiang H. Novel Label-Free Nanocrystalline Gold Interdigitated Microelectrode Immunosensor for the Rapid and Ultrasensitive Detection of SARS-CoV-2. ACS Sens 2023; 8:2933-2944. [PMID: 37403925 DOI: 10.1021/acssensors.2c02141] [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] [Indexed: 07/06/2023]
Abstract
Waves of COVID-19 outbreaks have dragged down the global economy and endangered human life. There is an urgent need for timeliness and sensitive SARS-CoV-2 detection techniques to complement the existing PCR assay. Herein, the controllable growth of gold crystalline grains was achieved by applying the reverse current during pulse electrochemical deposition (PED) interval. The proposed method validates the effects of pulse reverse current (PRC) on the atomic arrangement, crystal structures, orientations, and film characteristics in Au PED. The gap between the gold grains on the surface of the nanocrystalline gold interdigitated microelectrodes (NG-IDME) fabricated by the PED+PRC process matches the size of the antiviral antibody. Immunosensors are prepared by binding a large number of antiviral antibodies on the surface of NG-IDME. The NG-IDME immunosensor has a high specific capture ability for SARS-CoV-2 nucleocapsid protein (SARS-CoV-2/N-Pro) and completes ultrasensitive and quantification of SARS-CoV-2/N-Pro in humans and pets within 5 min (the LOQ as low as 75 fg/mL). The specificity, accuracy, stability, and actual blind sample tests show that the NG-IDME immunosensor is suitable for the detection of SARS-CoV-2 in humans and animals. This approach assists in monitoring the transmission of SARS-CoV-2-infected animals to humans.
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Affiliation(s)
- Sihan Wang
- Department of Veterinary Pharmacology and Toxicology, National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing 100193, P. R. China
| | - Yougang Zhong
- Department of Veterinary Theriogenology, College of Veterinary Medicine, China Agricultural University, Beijing 100193, P. R. China
| | - Zhen Gong
- Department of Veterinary Pharmacology and Toxicology, National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing 100193, P. R. China
- Department of Applied Physics, China Agricultural University, Beijing 100083, P. R. China
| | - Xiaoli Zhu
- Department of Electrical and Computer Engineering, Waterloo Institute of Nanotechnology (WIN), University of Waterloo, Waterloo, Ontario N2L 3G1, Canada
| | - Kai Wen
- Department of Veterinary Pharmacology and Toxicology, National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing 100193, P. R. China
| | - Shuhua Wei
- School of Information Science and Technology, North China University of Technology, Beijing 100144, P. R. China
| | - Zhiwei He
- Department of Applied Physics, China Agricultural University, Beijing 100083, P. R. China
| | - Zile Wang
- Department of Veterinary Pharmacology and Toxicology, National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing 100193, P. R. China
| | - Jincheng Xiong
- Department of Veterinary Pharmacology and Toxicology, National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing 100193, P. R. China
| | - Shuai Zhang
- Department of Veterinary Pharmacology and Toxicology, National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing 100193, P. R. China
| | - Xiaotian Liu
- Department of Veterinary Theriogenology, College of Veterinary Medicine, China Agricultural University, Beijing 100193, P. R. China
| | - Liang Zhang
- Department of Veterinary Pharmacology and Toxicology, National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing 100193, P. R. China
| | - Jianzhong Shen
- Department of Veterinary Pharmacology and Toxicology, National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing 100193, P. R. China
| | - Haiyang Jiang
- Department of Veterinary Pharmacology and Toxicology, National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing 100193, P. R. China
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6
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Duś-Ilnicka I, Mazur M, Rybińska A, Radwan-Oczko M, Jurczyszyn K, Paradowska-Stolarz A. SARS CoV-2 IgG seropositivity post-vaccination among dental professionals: a prospective study. BMC Infect Dis 2023; 23:539. [PMID: 37596519 PMCID: PMC10436388 DOI: 10.1186/s12879-023-08534-z] [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: 06/04/2023] [Accepted: 08/11/2023] [Indexed: 08/20/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic has spread very rapidly around the world. Various regional and national lockdowns were imposed to control the spread. Meanwhile, vaccine development and population vaccination were the next steps for pandemic control. Workers in the dental field, both dentists and dental assistants, however, were close to the sources of aerosol generated during dental procedures and thus were the group of workers the most exposed to COVID-19 infection. The aim of our study was to monitor the immune response before and after the vaccine in a high-risk population, composed by dental professionals. METHODS A clinical prospective study was carried out among dental professionals at the Academic Dental Polyclinic, Wroclaw Medical University (Wrocław, Lower Silesia region, Poland). Blood samples were collected at an interval of one year - March/April 2020, before the vaccination against COVID-19, and April 2021, after the vaccination. The analysis was performed on serum with four different methods: qualitative, semi-quantitative, and quantitative IgG count for SARS-CoV-2, and SARS-CoV-2 neutralizing antibodies. RESULTS A total of 42 healthy adult volunteers participated in the study. The results showed a statistically significant difference (p < 0.05) in antibody levels before and after vaccination (1st and 2nd measurement) for each test method. The tests that were used affected the results and the test that showed the strongest relationship with the result was the Qualitative test. CONCLUSIONS Dental professionals are the adult working population most at risk for COVID-19. Monitoring SARS-CoV-2-status-related seropositivity can provide useful information occupational risk factors for dental professionals.
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Affiliation(s)
- Irena Duś-Ilnicka
- Oral Pathology Department, Wroclaw Medical University, ul. Krakowska 26, Wrocław, 52-425, Poland
| | - Marta Mazur
- Department of Oral and Maxillofacial Sciences, Sapienza University of Rome, Rome, 00161, Italy.
| | - Anna Rybińska
- Oral Pathology Department, Wroclaw Medical University, ul. Krakowska 26, Wrocław, 52-425, Poland
| | - Małgorzata Radwan-Oczko
- Oral Pathology Department, Wroclaw Medical University, ul. Krakowska 26, Wrocław, 52-425, Poland
| | - Kamil Jurczyszyn
- Department of Oral Surgery, Wroclaw Medical University, Krakowska 26, Wrocław, 50-425, Poland
| | - Anna Paradowska-Stolarz
- Division of Dentofacial Anomalies, Department of Orthodontics and Dentofacial Orhopedics, Wroclaw Medical University, Krakowska 26, Wrocław, 52-425, Poland
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7
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Leftwich HK, Vargas-Robles D, Rojas-Correa M, Yap YR, Bhattarai S, Ward DV, Fujimori G, Forconi CS, Yeboah T, Carter A, Kastrinakis A, Asirwatham AM, Bucci V, Moormann AM, Maldonado-Contreras A. The microbiota of pregnant women with SARS-CoV-2 and their infants. MICROBIOME 2023; 11:141. [PMID: 37365606 DOI: 10.1186/s40168-023-01577-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 05/16/2023] [Indexed: 06/28/2023]
Abstract
BACKGROUND Infants receive their first bacteria from their birthing parent. This newly acquired microbiome plays a pivotal role in developing a robust immune system, the cornerstone of long-term health. RESULTS We demonstrated that the gut, vaginal, and oral microbial diversity of pregnant women with SARS-CoV-2 infection is reduced, and women with early infections exhibit a different vaginal microbiota composition at the time of delivery compared to their healthy control counterparts. Accordingly, a low relative abundance of two Streptococcus sequence variants (SV) was predictive of infants born to pregnant women with SARS-CoV-2 infection. CONCLUSIONS Our data suggest that SARS-CoV-2 infections during pregnancy, particularly early infections, are associated with lasting changes in the microbiome of pregnant women, compromising the initial microbial seed of their infant. Our results highlight the importance of further exploring the impact of SARS-CoV-2 on the infant's microbiome-dependent immune programming. Video Abstract.
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Affiliation(s)
- Heidi K Leftwich
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Massachusetts Memorial Health, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Daniela Vargas-Robles
- Department of Microbiology and Physiological Systems, Program of Microbiome Dynamics, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Mayra Rojas-Correa
- Department of Microbiology and Physiological Systems, Program of Microbiome Dynamics, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Yan Rou Yap
- Department of Microbiology and Physiological Systems, Program of Microbiome Dynamics, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Shakti Bhattarai
- Department of Microbiology and Physiological Systems, Program of Microbiome Dynamics, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Doyle V Ward
- Department of Microbiology and Physiological Systems, Program of Microbiome Dynamics, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Gavin Fujimori
- Department of Medicine. Division of Infectious Diseases and Immunology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Catherine S Forconi
- Department of Medicine. Division of Infectious Diseases and Immunology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Tracy Yeboah
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Massachusetts Memorial Health, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Acara Carter
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Massachusetts Memorial Health, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Alyssa Kastrinakis
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Massachusetts Memorial Health, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Alison M Asirwatham
- Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Massachusetts Memorial Health, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Vanni Bucci
- Department of Microbiology and Physiological Systems, Program of Microbiome Dynamics, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Ann M Moormann
- Department of Medicine. Division of Infectious Diseases and Immunology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Ana Maldonado-Contreras
- Department of Microbiology and Physiological Systems, Program of Microbiome Dynamics, University of Massachusetts Chan Medical School, Worcester, MA, USA.
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8
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Wang S, Li B, McLeod D, Li Z. A handheld plug-and-play microfluidic liquid handling automation platform for immunoassays. HARDWAREX 2023; 14:e00420. [PMID: 37153756 PMCID: PMC10160774 DOI: 10.1016/j.ohx.2023.e00420] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 03/28/2023] [Accepted: 04/10/2023] [Indexed: 05/10/2023]
Abstract
Lab-on-a-chip technologies and microfluidics have pushed miniaturized liquid handling to unprecedented precision, integration, and automation, which improved the reaction efficiency of immunoassays. However, most microfluidic immunoassay systems still require bulky infrastructures, such as external pressure sources, pneumatic systems, and complex manual tubing and interface connections. Such requirements prevent plug-and-play operation at the point-of-care (POC) settings. Here we present a fully automated handheld general microfluidic liquid handling automation platform with a plug-and-play 'clamshell-style' cartridge socket, a miniature electro-pneumatic controller, and injection-moldable plastic cartridges. The system achieved multi-reagent switching, metering, and timing control on the valveless cartridge using electro-pneumatic pressure control. As a demonstration, a SARS-CoV-2 spike antibody sandwich fluorescent immunoassay (FIA) liquid handling was performed on an acrylic cartridge without human intervention after sample introduction. A fluorescence microscope was used to analyze the result. The assay showed a limit of detection at 31.1 ng/mL, comparable to some previously reported enzyme-linked immunosorbent assays (ELISA). In addition to automated liquid handling on the cartridge, the system can operate as a 6-port pressure source for external microfluidic chips. A rechargeable battery with a 12 V 3000 mAh capacity can power the system for 42 h. The footprint of the system is 16.5 × 10.5 × 7 cm, and the weight is 801 g, including the battery. The system can find many other POC and research applications requiring complex liquid manipulation, such as molecular diagnostics, cell analysis, and on-demand biomanufacturing.
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9
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AL-Saeedi AS, Abdulamir AS, Alubaidi GT. Development of a cost-effective quantitative in-house ELISA assay for screening anti-S1 IgG antibodies targeting SARS-CoV-2. J Med Life 2023; 16:883-889. [PMID: 37675173 PMCID: PMC10478653 DOI: 10.25122/jml-2023-0047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 03/15/2023] [Indexed: 09/08/2023] Open
Abstract
The RBD, S, and N proteins, the three main antigens of the SARS-CoV-2 virus, activate the host immune system and cause the formation of IgM and IgG antibodies. While IgM indicates an early, acute infection stage, IgG shows a past infection or persistent sickness. This study used an indirect ELISA assay that targets the S1 subunit of the SARS-CoV-2 S protein to create an in-house, qualitative serological test specific to COVID-19. A total of 60 serum samples were examined using ELISA for anti-SARS-CoV-2 IgG, and 50 of those results were positive. An additional 20 samples were taken from cases that occurred before the pandemic. For the in-house ELISA assay, a plasmid containing the gene coding for the S1 subunit was transformed into E. coli DH5ɑ bacterial cells and the protein was synthesized and purified. The purified protein was utilized to coat the ELISA plate, which was subsequently used to assess the levels of IgG among individuals with SARS-CoV-2 infection. The study found a significant association (p-value=0.01) between the in-house and the commercial anti-S1 subunit IgG antibodies kits. The in-house ELISA responded well, with a sensitivity and specificity of 75.0% and 88.89%, respectively. Furthermore, a library of SARS-CoV-2 recombinant S1 subunits was created by competent bacteria and may be employed for various tasks, such as creating diagnostic tools and scientific investigation. Overall, the in-house anti-SARS-CoV-2 human IgG-ELISA proved to be sensitive and specific for identifying IgG antibodies in patients exposed to SARS-CoV-2.
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Affiliation(s)
- Abdul-Sattar AL-Saeedi
- Medical Microbiology Department, College of Medicine, Al-Nahrain University, Baghdad, Iraq
- Basic and Medical Sciences Branch, College of Nursing, University of Al-Ameed, Karbala, Iraq
| | - Ahmed Sahib Abdulamir
- Medical Microbiology Department, College of Medicine, Al-Nahrain University, Baghdad, Iraq
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10
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Kolossváry M, deFilippi C, McCallum S, Fitch KV, Diggs MR, Fulda ES, Ribaudo HJ, Fichtenbaum CJ, Aberg JA, Malvestutto CD, Currier JS, Casado JL, Gutiérrez F, Sereti I, Douglas PS, Zanni MV, Grinspoon SK. Identification of pre-infection markers and differential plasma protein expression following SARS-CoV-2 infection in people living with HIV. EBioMedicine 2023; 90:104538. [PMID: 36966617 PMCID: PMC10037041 DOI: 10.1016/j.ebiom.2023.104538] [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: 11/08/2022] [Revised: 03/05/2023] [Accepted: 03/08/2023] [Indexed: 03/26/2023] Open
Abstract
BACKGROUND Mechanisms contributing to COVID-19 severity in people with HIV (PWH) are poorly understood. We evaluated temporal changes in plasma proteins following SARS-CoV-2 infection and identified pre-infection proteomic markers associated with future COVID-19. METHODS We leveraged data from the global Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE). Antiretroviral therapy (ART)-treated PWH with clinical, antibody-confirmed COVID-19 as of September 2021 were matched on geographic region, age, and sample timing to antibody negative controls. For cases and controls, pre COVID-19 pandemic specimens were obtained prior to January 2020 to assess change over time and relationship to COVID-19 severity, using false-discovery adjusted mixed effects modeling. FINDINGS We compared 257 unique plasma proteins in 94 COVID-19 antibody-confirmed clinical cases and 113 matched antibody-negative controls, excluding COVID-19 vaccinated participants (age 50 years, 73% male). 40% of cases were characterized as mild; 60% moderate to severe. Median time from COVID-19 infection to follow-up sampling was 4 months. Temporal patterns of protein changes differed based on COVID-19 disease severity. Among those experiencing moderate to severe disease vs. controls, NOS3 increased whereas ANG, CASP-8, CD5, GZMH, GZMB, ITGB2, and KLRD1 decreased. Higher pre-pandemic levels of granzymes A, B and H (GZMA, GZMB and GZMH) were associated with the future development of moderate-severe COVID-19 and were related to immune function. INTERPRETATION We identified temporal changes in proteins closely linked to inflammatory, immune, and fibrotic pathways which may relate to COVID-19-related morbidity among ART-treated PWH. Further we identified key granzyme proteins associated with future COVID-19 in PWH. FUNDING This study is supported through NIH grants U01HL123336, U01HL123336-06 and 3U01HL12336-06S3, to the clinical coordinating center, and U01HL123339, to the data coordinating center as well as funding from Kowa Pharmaceuticals, Gilead Sciences, and a grant award through ViiV Healthcare. The NIAID supported this study through grants UM1 AI068636, which supports the AIDS Clinical Trials Group (ACTG) Leadership and Operations Center, and UM1 AI106701, which supports the ACTG Laboratory Center. This work was also supported by NIAID through grant K24AI157882 to MZ. The work of IS was supported by the intramural research program of NIAID/NIH.
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Affiliation(s)
- Márton Kolossváry
- Metabolism Unit, Massachusetts General Hospital, Boston, MA, 02114, USA; Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Chris deFilippi
- Inova Heart and Vascular Institute, Falls Church, VA, 22042, USA
| | - Sara McCallum
- Metabolism Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Kathleen V Fitch
- Metabolism Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Marissa R Diggs
- Metabolism Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Evelynne S Fulda
- Metabolism Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Heather J Ribaudo
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Carl J Fichtenbaum
- Division of Infectious Diseases, Department of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Judith A Aberg
- Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carlos D Malvestutto
- Division of Infectious Diseases, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Judith S Currier
- Division of Infectious Diseases, University of California at Los Angeles, Los Angeles, CA, 90095, USA
| | - Jose L Casado
- Division of Infectious Diseases, Ramon y Cajal Health Research Institute (IRyCIS), University Hospital Ramon y Cajal, Madrid, Spain
| | - Félix Gutiérrez
- Division of Infectious Diseases, Hospital General Universitario de Elche and University Miguel Hernández, Alicante, Spain; CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | - Irini Sereti
- Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Pamela S Douglas
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, 27708, USA
| | - Markella V Zanni
- Metabolism Unit, Massachusetts General Hospital, Boston, MA, 02114, USA
| | - Steven K Grinspoon
- Metabolism Unit, Massachusetts General Hospital, Boston, MA, 02114, USA.
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11
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Yue H, Nowak RP, Overwijn D, Payne NC, Fischinger S, Atyeo C, Lam EC, St. Denis K, Brais LK, Konishi Y, Sklavenitis-Pistofidis R, Baden LR, Nilles EJ, Karlson EW, Yu XG, Li JZ, Woolley AE, Ghobrial IM, Meyerhardt JA, Balazs AB, Alter G, Mazitschek R, Fischer ES. Diagnostic TR-FRET assays for detection of antibodies in patient samples. CELL REPORTS METHODS 2023; 3:100421. [PMID: 37056371 PMCID: PMC10088089 DOI: 10.1016/j.crmeth.2023.100421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 12/15/2022] [Accepted: 02/14/2023] [Indexed: 02/22/2023]
Abstract
Serological assays are important diagnostic tools for surveying exposure to the pathogen, monitoring immune response post vaccination, and managing spread of the infectious agent among the population. Current serological laboratory assays are often limited because they require the use of specialized laboratory technology and/or work with a limited number of sample types. Here, we evaluate an alternative by developing time-resolved Förster resonance energy transfer (TR-FRET) homogeneous assays that exhibited exceptional versatility, scalability, and sensitivity and outperformed or matched currently used strategies in terms of sensitivity, specificity, and precision. We validated the performance of the assays measuring total immunoglobulin G (IgG) levels; antibodies against severe acute respiratory syndrome coronavirus (SARS-CoV) or Middle Eastern respiratory syndrome (MERS)-CoV spike (S) protein; and SARS-CoV-2 S and nucleocapsid (N) proteins and applied it to several large sample sets and real-world applications. We further established a TR-FRET-based ACE2-S competition assay to assess the neutralization propensity of the antibodies. Overall, these TR-FRET-based serological assays can be rapidly extended to other antigens and are compatible with commonly used plate readers.
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Affiliation(s)
- Hong Yue
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Radosław P. Nowak
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - Daan Overwijn
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
| | - N. Connor Payne
- Department of Chemistry & Chemical Biology, Harvard University, Cambridge, MA 02138, USA
- Center for Systems Biology, Massachusetts General Hospital (MGH), Boston, MA 02114, USA
| | - Stephanie Fischinger
- Ragon Institute of MGH, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA
| | - Caroline Atyeo
- Ragon Institute of MGH, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA
| | - Evan C. Lam
- Ragon Institute of MGH, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA
| | - Kerri St. Denis
- Ragon Institute of MGH, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA
| | - Lauren K. Brais
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Yoshinobu Konishi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Romanos Sklavenitis-Pistofidis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Lindsey R. Baden
- Division of Infectious Diseases, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Eric J. Nilles
- Department of Emergency Medicine, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | | | - Xu G. Yu
- Ragon Institute of MGH, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA
| | - Jonathan Z. Li
- Division of Infectious Diseases, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Ann E. Woolley
- Division of Infectious Diseases, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Irene M. Ghobrial
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Alejandro B. Balazs
- Ragon Institute of MGH, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA
| | - Galit Alter
- Ragon Institute of MGH, Massachusetts Institute of Technology (MIT), and Harvard, Cambridge, MA 02139, USA
| | - Ralph Mazitschek
- Center for Systems Biology, Massachusetts General Hospital (MGH), Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Eric S. Fischer
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA
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12
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Schnittman SR, Jung W, Fitch KV, Zanni MV, McCallum S, Lee JSL, Shin S, Davis BJ, Fulda ES, Diggs MR, Giguel F, Chinchay R, Sheth AN, Fichtenbaum CJ, Malvestutto C, Aberg JA, Currier J, Lauffenburger DA, Douglas PS, Ribaudo HJ, Alter G, Grinspoon SK. Effect of host factors and COVID-19 infection on the humoral immune repertoire in treated HIV. JCI Insight 2023; 8:e166848. [PMID: 36805331 PMCID: PMC10077482 DOI: 10.1172/jci.insight.166848] [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: 11/07/2022] [Accepted: 01/27/2023] [Indexed: 02/22/2023] Open
Abstract
People with HIV (PWH) appear to be at higher risk for suboptimal pathogen responses and for worse COVID-19 outcomes, but the effects of host factors and COVID-19 on the humoral repertoire remain unclear. We assessed the antibody isotype/subclass and Fc-receptor binding Luminex arrays of non-SARS-CoV-2 and SARS-CoV-2 humoral responses among antiretroviral therapy-treated (ART-treated) PWH. Among the entire cohort, COVID-19 infection was associated with higher cytomegalovirus (CMV) responses (vs. the COVID- cohort ), potentially signifying increased susceptibility or a consequence of persistent inflammation. Among the COVID+ participants, (a) higher BMI was associated with a striking amplification of SARS-CoV-2 responses, suggesting exaggerated inflammatory responses, and (b) lower nadir CD4 was associated with higher SARS-CoV-2 IgM and FcγRIIB binding capacity, indicating poorly functioning extrafollicular and inhibitory responses. Among the COVID-19- participants, female sex, older age, and lower nadir CD4 were associated with unique repertoire shifts. In this first comprehensive assessment of the humoral repertoire in a global cohort of PWH, we identify distinct SARS-CoV-2-specific humoral immune profiles among PWH with obesity or lower nadir CD4+ T cell count, underlining plausible mechanisms associated with worse COVID-19-related outcomes in this setting. Host factors associated with the humoral repertoire in the COVID-19- cohort enhance our understanding of these important shifts among PWH.
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Affiliation(s)
- Samuel R. Schnittman
- Division of Infectious Diseases, Department of Medicine, and
- Metabolism Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Wonyeong Jung
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
| | - Kathleen V. Fitch
- Metabolism Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Markella V. Zanni
- Metabolism Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sara McCallum
- Metabolism Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Sally Shin
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
| | - Brandon J. Davis
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
| | - Evelynne S. Fulda
- Metabolism Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Marissa R. Diggs
- Metabolism Unit, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Francoise Giguel
- AIDS Clinical Trials Group Lab 01, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Romina Chinchay
- Houston AIDS Research Team, University of Texas Health Science Center Houston, Houston, Texas, USA
| | - Anandi N. Sheth
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Carl J. Fichtenbaum
- Division of Infectious Diseases, Department of Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Carlos Malvestutto
- Division of Infectious Diseases, Department of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Judith A. Aberg
- Division of Infectious Diseases, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Judith Currier
- Division of Infectious Diseases, Department of Medicine, UCLA, Los Angeles, California, USA
| | - Douglas A. Lauffenburger
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Pamela S. Douglas
- Duke Clinical Research Institute, Duke University, Durham, North Carolina, USA
| | | | - Galit Alter
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
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13
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McKune SL, Acosta D, Fujii Y, Joyce-Beaulieu D, Sayeed MA, Cato E, Flaherty KE, Creasy-Marrazzo A, Pu R, Kariyawasam S, Arukha A, Cummings DAT, Long MT, Maurelli AT, Nelson EJ. The infected and the affected: A longitudinal study of the impact of the COVID-19 pandemic on schoolchildren in Florida. Front Public Health 2023; 11:1003923. [PMID: 36969651 PMCID: PMC10030597 DOI: 10.3389/fpubh.2023.1003923] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 02/16/2023] [Indexed: 03/29/2023] Open
Abstract
Objectives To identify risk factors associated with symptoms of anxiety, depression, and obsessive-compulsive disorder (OCD) among children during the 1st year of the COVID-19 pandemic. Methods A longitudinal study with three cross-sectional timepoints [April 2020 (n = 273), October 2020 (n = 180), and April 2021 (n = 116)] was conducted at a K-12 public school in Florida. Infection and sero-positivity for SARS-CoV-2 was determined by molecular and serologic approaches. Adjusted odds ratios using mixed effect logistic regression models for symptom-derived indicators of anxiety, depression, and OCD in children in April 2021 are presented; past infection and seropositivity were included in the models. Results The prevalence of anxiety, depression, or OCD moved from 47.1, to 57.2, to 42.2% across the three timepoints during the study. By endline of the study, in April 2021, non-white children were at higher risk for depression and OCD. Risk for anxiety, depression, and OCD was associated with students who lost a family member due to COVID-19 and who were identified as at-risk in previous timepoints. Rates of SARS-CoV-2 infection and seropositivity were low and not statistically associated with assessed outcomes. Conclusions In situations like the COVID-19 pandemic, targeted mental health interventions and screenings are needed in children and adolescents, especially among minority children.
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Affiliation(s)
- Sarah L. McKune
- Department of Environmental and Global Health, University of Florida, Gainesville, FL, United States
- *Correspondence: Sarah L. McKune
| | - Daniel Acosta
- Department of Environmental and Global Health, University of Florida, Gainesville, FL, United States
| | - Yui Fujii
- Department of Environmental and Global Health, University of Florida, Gainesville, FL, United States
| | - Diana Joyce-Beaulieu
- Department of Special Education, School Psychology, and Early Childhood Studies, College of Education, University of Florida, Gainesville, FL, United States
| | - Md Abu Sayeed
- Department of Environmental and Global Health, University of Florida, Gainesville, FL, United States
- Department of Pediatrics, University of Florida, Gainesville, FL, United States
| | - Emilee Cato
- Department of Pediatrics, University of Florida, Gainesville, FL, United States
| | - Katelyn E. Flaherty
- Department of Environmental and Global Health, University of Florida, Gainesville, FL, United States
| | - Ashton Creasy-Marrazzo
- Department of Environmental and Global Health, University of Florida, Gainesville, FL, United States
- Department of Pediatrics, University of Florida, Gainesville, FL, United States
| | - Ruiyu Pu
- Department of Comparative Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States
| | - Subhashinie Kariyawasam
- Department of Comparative Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
| | - Anantha Arukha
- Department of Comparative Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
| | - Derek A. T. Cummings
- Department of Environmental and Global Health, University of Florida, Gainesville, FL, United States
- Department of Pediatrics, University of Florida, Gainesville, FL, United States
| | - Maureen T. Long
- Department of Comparative Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States
| | - Anthony T. Maurelli
- Department of Environmental and Global Health, University of Florida, Gainesville, FL, United States
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States
| | - Eric J. Nelson
- Department of Environmental and Global Health, University of Florida, Gainesville, FL, United States
- Department of Pediatrics, University of Florida, Gainesville, FL, United States
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States
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14
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Lapizco-Encinas BH, Zhang YV. Microfluidic systems in clinical diagnosis. Electrophoresis 2023; 44:217-245. [PMID: 35977346 DOI: 10.1002/elps.202200150] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 08/10/2022] [Accepted: 08/11/2022] [Indexed: 02/01/2023]
Abstract
The use of microfluidic devices is highly attractive in the field of biomedical and clinical assessments, as their portability and fast response time have become crucial in providing opportune therapeutic treatments to patients. The applications of microfluidics in clinical diagnosis and point-of-care devices are continuously growing. The present review article discusses three main fields where miniaturized devices are successfully employed in clinical applications. The quantification of ions, sugars, and small metabolites is examined considering the analysis of bodily fluids samples and the quantification of this type of analytes employing real-time wearable devices. The discussion covers the level of maturity that the devices have reached as well as cost-effectiveness. The analysis of proteins with clinical relevance is presented and organized by the function of the proteins. The last section covers devices that can perform single-cell metabolomic and proteomic assessments. Each section discusses several strategically selected recent reports on microfluidic devices successfully employed for clinical assessments, to provide the reader with a wide overview of the plethora of novel systems and microdevices developed in the last 5 years. In each section, the novel aspects and main contributions of each reviewed report are highlighted. Finally, the conclusions and future outlook section present a summary and speculate on the future direction of the field of miniaturized devices for clinical applications.
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Affiliation(s)
- Blanca H Lapizco-Encinas
- Microscale Bioseparations Laboratory and Biomedical Engineering Department, Rochester Institute of Technology, Rochester, New York, USA
| | - Yan Victoria Zhang
- Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, New York, USA
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15
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Electrochemical Biosensor for the Determination of Specific Antibodies against SARS-CoV-2 Spike Protein. Int J Mol Sci 2022; 24:ijms24010718. [PMID: 36614164 PMCID: PMC9821011 DOI: 10.3390/ijms24010718] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/17/2022] [Accepted: 12/21/2022] [Indexed: 01/03/2023] Open
Abstract
In this article, we report the development of an electrochemical biosensor for the determination of the SARS-CoV-2 spike protein (rS). A gold disc electrode was electrochemically modified to form the nanocrystalline gold structure on the surface. Then, it was further altered by a self-assembling monolayer based on a mixture of two alkane thiols: 11-mercaptoundecanoic acid (11-MUA) and 6-mercapto-1-hexanol (6-MCOH) (SAMmix). After activating carboxyl groups using a N-(3-dimethylaminopropyl)-N'-ethyl-carbodiimide hydrochloride and N-hydroxysuccinimide mixture, the rS protein was covalently immobilized on the top of the SAMmix. This electrode was used to design an electrochemical sensor suitable for determining antibodies against the SARS-CoV-2 rS protein (anti-rS). We assessed the association between the immobilized rS protein and the anti-rS antibody present in the blood serum of a SARS-CoV-2 infected person using three electrochemical methods: cyclic voltammetry, differential pulse voltammetry, and potential pulsed amperometry. The results demonstrated that differential pulse voltammetry and potential pulsed amperometry measurements displayed similar sensitivity. In contrast, the measurements performed by cyclic voltammetry suggest that this method is the most sensitive out of the three methods applied in this research.
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16
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Immunological Studies to Understand Hybrid/Recombinant Variants of SARS-CoV-2. Vaccines (Basel) 2022; 11:vaccines11010045. [PMID: 36679891 PMCID: PMC9867374 DOI: 10.3390/vaccines11010045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/21/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
The zoonotic SARS-CoV-2 virus was present before the onset of the pandemic. It undergoes evolution, adaptation, and selection to develop variants that gain high transmission rates and virulence, resulting in the pandemic. Structurally, the spike protein of the virus is required for binding to ACE2 receptors of the host cells. The gene coding for the spike is known to have a high propensity of mutations, as a result generating numerous variants. The variants can be generated by random point mutations or recombination during replication. However, SARS-CoV-2 can also produce hybrid variants on co-infection of the host by two distinct lineages of the virus. The genomic sequences of the two variants undergo recombination to produce the hybrid variants. Additionally, these sub-variants also contain numerous mutations from both the parent variants, as well as some novel mutations unique to the hybrids. The hybrid variants (XD, XE, and XF) can be identified through numerous techniques, such as peak PCR, NAAT, and hybrid capture SARS-CoV-2 NGS (next generation sequencing) assay, etc., but the most accurate approach is genome sequencing. There are numerous immunological diagnostic assays, such as ELISA, chemiluminescence immunoassay, flow-cytometry-based approaches, electrochemiluminescence immunoassays, neutralization assays, etc., that are also designed and developed to provide an understanding of the hybrid variants, their pathogenesis, and other reactions. The objective of our study is to comprehensively analyze the variants of SARS-CoV-2, especially the hybrid variants. We have also discussed the techniques available for the identification of hybrids, as well as the immunological assays and studies for analyzing the hybrid variants.
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17
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Binder RA, Fujimori GF, Forconi CS, Reed GW, Silva LS, Lakshmi PS, Higgins A, Cincotta L, Dutta P, Salive MC, Mangolds V, Anya O, Calvo Calle JM, Nixon T, Tang Q, Wessolossky M, Wang Y, Ritacco DA, Bly CS, Fischinger S, Atyeo C, Oluoch PO, Odwar B, Bailey JA, Maldonado-Contreras A, Haran JP, Schmidt AG, Cavacini L, Alter G, Moormann AM. SARS-CoV-2 Serosurveys: How Antigen, Isotype and Threshold Choices Affect the Outcome. J Infect Dis 2022; 227:371-380. [PMID: 36314635 PMCID: PMC9891417 DOI: 10.1093/infdis/jiac431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 10/21/2022] [Accepted: 10/27/2022] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Evaluating the performance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serological assays and clearly articulating the utility of selected antigens, isotypes, and thresholds is crucial to understanding the prevalence of infection within selected communities. METHODS This cross-sectional study, implemented in 2020, screened PCRconfirmed coronavirus disease 2019 patients (n 86), banked prepandemic and negative samples (n 96), healthcare workers and family members (n 552), and university employees (n 327) for antiSARS-CoV-2 receptor-binding domain, trimeric spike protein, and nucleocapsid protein immunoglobulin (Ig)G and IgA antibodies with a laboratory-developed enzyme-linked immunosorbent assay and tested how antigen, isotype and threshold choices affected the seroprevalence outcomes. The following threshold methods were evaluated: (i) mean 3 standard deviations of the negative controls; (ii) 100 specificity for each antigen-isotype combination; and (iii) the maximal Youden index. RESULTS We found vastly different seroprevalence estimates depending on selected antigens and isotypes and the applied threshold method, ranging from 0.0 to 85.4. Subsequently, we maximized specificity and reported a seroprevalence, based on more than one antigen, ranging from 9.3 to 25.9. CONCLUSIONS This study revealed the importance of evaluating serosurvey tools for antigen-, isotype-, and threshold-specific sensitivity and specificity, to interpret qualitative serosurvey outcomes reliably and consistently across studies.
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Affiliation(s)
- Raquel A Binder
- Correspondence: Raquel A. Binder, University of Massachusetts Chan Medical School, Worcester, MA 01605 ()
| | | | | | - George W Reed
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Leandro S Silva
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Priya Saikumar Lakshmi
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Amanda Higgins
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Lindsey Cincotta
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Protiva Dutta
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Marie-Claire Salive
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Virginia Mangolds
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Otuwe Anya
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - J Mauricio Calvo Calle
- Department of Pathology, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Thomas Nixon
- Horae Gene Therapy Center, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Qiushi Tang
- Horae Gene Therapy Center, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Mireya Wessolossky
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Yang Wang
- MassBiologics, University of Massachusetts Medical School, Boston, Massachusetts, USA
| | - Dominic A Ritacco
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Courtney S Bly
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | | | - Caroline Atyeo
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
| | - Peter O Oluoch
- Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Boaz Odwar
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Jeffrey A Bailey
- Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA
| | - Ana Maldonado-Contreras
- Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - John P Haran
- Department of Emergency Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA,Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, Massachusetts, USA
| | - Aaron G Schmidt
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA,Department of Microbiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Lisa Cavacini
- MassBiologics, University of Massachusetts Medical School, Boston, Massachusetts, USA
| | - Galit Alter
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
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18
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Ma Y, To D, Zeng J, Shoute LCT, Wu M, Babiuk S, Zhuo R, Charlton C, Kanji JN, Babiuk L, Chen J. Improving immunoassay detection accuracy of anti-SARS-CoV-2 antibodies through dual modality validation. BIOSENSORS & BIOELECTRONICS: X 2022; 11:100176. [PMID: 35692737 PMCID: PMC9167148 DOI: 10.1016/j.biosx.2022.100176] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 05/16/2022] [Accepted: 05/29/2022] [Indexed: 06/15/2023]
Abstract
A novel test strategy is proposed with dual-modality detection techniques for COVID-19 antibody detection. The full-length S protein of SARS-CoV-2 was chemically immobilized on a glass surface to capture anti-SARS-CoV-2 IgG in patient serum and was detected through either Electrochemical Impedance Spectroscopy (EIS) or fluorescence imaging with labeled secondary antibodies. Gold nanoparticles conjugated with protein G were used as the probe and the bound GNP-G was detected through EIS measurements. Anti-human-IgG conjugated with the fluorescent tag Alexa Fluor 488 was used as the probe for fluorescence imaging. Clinical SARS-CoV-2 IgG positive serum and negative controls were used to validate both modalities. For fluorescence-based detection, a high sensitivity was noticed with a quantification range of 0.01-0.1 A.U.C. and a LOD of 0.004 A.U.C. This study demonstrates the possibility of utilizing different measurement techniques in conjunction for improved COVID-19 serology testing.
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Affiliation(s)
- Yuhao Ma
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada
| | - Daniel To
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada
| | - Jie Zeng
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada
| | - Lian C T Shoute
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada
| | - Meng Wu
- Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, T6G 2R3, Canada
| | - Shawn Babiuk
- National Centre for Foreign Animal Disease, Canadian Food Inspection Agency, Winnipeg, MB, Canada
- Department of Immunology, University of Manitoba, Winnipeg, MB, Canada
| | - Ran Zhuo
- Public Health Laboratory, Alberta Precision Laboratories, Calgary, AB, Canada
| | - Carmen Charlton
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, T6G 2B7, Canada
- Public Health Laboratory, Alberta Precision Laboratories, Calgary, AB, Canada
- Li Ka Shing Institute for Virology, University of Alberta, Edmonton, AB, Canada
| | - Jamil N Kanji
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, T6G 2B7, Canada
- Public Health Laboratory, Alberta Precision Laboratories, Calgary, AB, Canada
- Division of Infectious Diseases, Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Pathology & Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Lorne Babiuk
- Vaccine and Infectious Disease Organization, University of Alberta, Edmonton, AB, Canada
| | - Jie Chen
- Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, T6G 2V4, Canada
- Department of Biomedical Engineering, University of Alberta, Edmonton, AB T6G 2V2, Canada
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19
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Louis R, Pu R, Logan TD, Trimmer-Smith L, Chamblain R, Gallagher A, De Rochars VMB, Nelson E, Cummings DAT, Long MT, Morris JG. SARS-CoV-2 infections in infants in Haiti 2020–2021; evidence from a seroepidemiological cohort. PLoS One 2022; 17:e0273482. [PMID: 36006976 PMCID: PMC9409576 DOI: 10.1371/journal.pone.0273482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 08/10/2022] [Indexed: 11/21/2022] Open
Abstract
Few data are available on frequency of SARS-CoV-2 infection among very young children in low- to middle-income countries (LMIC), with the studies that are available biased towards higher income countries with low reported infection and seroconversion rates. Between February 2019 and March 2021, 388 dried blood spot (DBS) samples were obtained from 257 children less than 30 months of age as part of a prospective observational cohort study of pregnant women and their infants in Haiti; longitudinal samples were available for 107 children. In a subsequent retrospective analysis, DBS samples were tested by ELISA for antibody targeting the receptor binding domain of the SARS-CoV-2 S1 protein. Over the course of the study, 16·7% of the infants became seropositive. All seropositive samples were collected after March 19, 2020 (the date of the first reported COVID-19 case in Haiti) with the highest hazards measured in August 2020. Sampling date was the only covariate associated with the hazard of seroconversion. Our data provide an estimate of SARS-CoV-2 infection rates among very young children without prior SARS-CoV-2 exposure during the initial pandemic waves in Haiti, and demonstrate that these children mount a detectable serological response which is independent of patient age.
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Affiliation(s)
- Rigan Louis
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States of America
- Faculte de Medicine et de Pharmacie, Universite d’Etat d’Haiti, Port-au-Prince, Haiti
| | - Ruiyu Pu
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States of America
- Department of Comparative Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States of America
| | - Tracey D. Logan
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States of America
- Department of Comparative Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States of America
| | - Luke Trimmer-Smith
- Department of Comparative Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States of America
| | - Richard Chamblain
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States of America
- Faculte de Medicine et de Pharmacie, Universite d’Etat d’Haiti, Port-au-Prince, Haiti
| | - Adriana Gallagher
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States of America
- Department of Comparative Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States of America
| | - Valery Madsen Beau De Rochars
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States of America
- Department of Health Services Research, Management and Policy, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States of America
| | - Eric Nelson
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States of America
- Department of Pediatrics, College of Medicine, University of Florida, Gainesville, FL, United States of America
- Department of Environmental and Global Health, University of Florida, Gainesville, FL, United States of America
| | - Derek A. T. Cummings
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States of America
- Department of Biology, College of Liberal Arts and Sciences, University of Florida, Gainesville, FL, United States of America
| | - Maureen T. Long
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States of America
- Department of Comparative Diagnostic and Population Medicine, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States of America
| | - J. Glenn Morris
- Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States of America
- Department of Medicine, College of Medicine, University of Florida, Gainesville, FL, United States of America
- * E-mail:
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20
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Cortés-Sarabia K, Cruz-Rangel A, Flores-Alanis A, Salazar-García M, Jiménez-García S, Rodríguez-Martínez G, Reyes-Grajeda JP, Rodríguez-Téllez RI, Patiño-López G, Parra-Ortega I, Del Moral-Hernández O, Illades-Aguiar B, Klünder-Klünder M, Márquez-González H, Chávez-López A, Luna-Pineda VM. Clinical features and severe acute respiratory syndrome-coronavirus-2 structural protein-based serology of Mexican children and adolescents with coronavirus disease 2019. PLoS One 2022; 17:e0273097. [PMID: 35969583 PMCID: PMC9377623 DOI: 10.1371/journal.pone.0273097] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 08/02/2022] [Indexed: 12/24/2022] Open
Abstract
Severe acute respiratory syndrome (SARS)-coronavirus (CoV)-2 infection in children and adolescents primarily causes mild or asymptomatic coronavirus disease 2019 (COVID-19), and severe illness is mainly associated with comorbidities. However, the worldwide prevalence of COVID-19 in this population is only 1%–2%. In Mexico, the prevalence of COVID-19 in children has increased to 10%. As serology-based studies are scarce, we analyzed the clinical features and serological response (SARS-CoV-2 structural proteins) of children and adolescents who visited the Hospital Infantil de México Federico Gómez (October 2020–March 2021). The majority were 9-year-old children without comorbidities who were treated as outpatients and had mild-to-moderate illness. Children aged 6–10 years and adolescents aged 11–15 years had the maximum number of symptoms, including those with obesity. Nevertheless, children with comorbidities such as immunosuppression, leukemia, and obesity exhibited the lowest antibody response, whereas those aged 1–5 years with heart disease had the highest levels of antibodies. The SARS-CoV-2 spike receptor-binding domain-localized peptides and M and E proteins had the best antibody response. In conclusion, Mexican children and adolescents with COVID-19 represent a heterogeneous population, and comorbidities play an important role in the antibody response against SARS-CoV-2 infection.
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Affiliation(s)
- Karen Cortés-Sarabia
- Laboratorio de Inmunobiología y Diagnóstico Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Guerrero, México
| | - Armando Cruz-Rangel
- Laboratorio de Bioquímica de Enfermedades Crónicas, Instituto Nacional de Medicina Genómica, Mexico City (Ciudad de México), México
| | - Alejandro Flores-Alanis
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City (Ciudad de México), México
| | - Marcela Salazar-García
- Laboratorio de Biología del Desarrollo y Teratogénesis Experimental, Hospital Infantil de México Federico Gómez, Mexico City (Ciudad de México), México
- Laboratorio de Investigación en COVID-19, Hospital Infantil de México Federico Gómez, Mexico City (Ciudad de México), México
| | - Samuel Jiménez-García
- Laboratorio de Biomedicina Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Guerrero, México
| | - Griselda Rodríguez-Martínez
- Laboratorio de Investigación en COVID-19, Hospital Infantil de México Federico Gómez, Mexico City (Ciudad de México), México
| | - Juan Pablo Reyes-Grajeda
- Laboratorio de Bioquímica de Enfermedades Crónicas, Instituto Nacional de Medicina Genómica, Mexico City (Ciudad de México), México
| | - Rosa Isela Rodríguez-Téllez
- Unidad de Investigación en Inmunología y Proteómica, Hospital Infantil de México Federico Gómez, Mexico City (Ciudad de México), México
| | - Genaro Patiño-López
- Unidad de Investigación en Inmunología y Proteómica, Hospital Infantil de México Federico Gómez, Mexico City (Ciudad de México), México
| | - Israel Parra-Ortega
- Laboratorio Central, Hospital Infantil de México Federico Gómez, Mexico City (Ciudad de México), México
| | - Oscar Del Moral-Hernández
- Laboratorio de Virología, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Guerrero, México
| | - Berenice Illades-Aguiar
- Laboratorio de Biomedicina Molecular, Facultad de Ciencias Químico Biológicas, Universidad Autónoma de Guerrero, Guerrero, México
| | - Miguel Klünder-Klünder
- Subdirección de Gestión de la Investigación, Hospital Infantil de México Federico Gómez, Mexico City (Ciudad de México), México
| | - Horacio Márquez-González
- Investigación Clínica, Hospital Infantil de México Federico Gómez, Mexico City (Ciudad de México), México
| | - Adrián Chávez-López
- Departamento de la Unidad de Terapia Intensiva Pediátrica, Hospital Infantil de México Federico Gómez, Mexico City (Ciudad de México), México
| | - Victor M. Luna-Pineda
- Laboratorio de Investigación en COVID-19, Hospital Infantil de México Federico Gómez, Mexico City (Ciudad de México), México
- Unidad de Investigación en Inmunología y Proteómica, Hospital Infantil de México Federico Gómez, Mexico City (Ciudad de México), México
- * E-mail:
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21
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The Serological Sciences Network (SeroNet) for COVID-19: Depth and Breadth of Serology Assays and Plans for Assay Harmonization. mSphere 2022; 7:e0019322. [PMID: 35703544 PMCID: PMC9429934 DOI: 10.1128/msphere.00193-22] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
In October 2020, the National Cancer Institute (NCI) Serological Sciences Network (SeroNet) was established to study the immune response to COVID-19, and “to develop, validate, improve, and implement serological testing and associated technologies” (https://www.cancer.gov/research/key-initiatives/covid-19/coronavirus-research-initiatives/serological-sciences-network). SeroNet is comprised of 25 participating research institutions partnering with the Frederick National Laboratory for Cancer Research (FNLCR) and the SeroNet Coordinating Center. Since its inception, SeroNet has supported collaborative development and sharing of COVID-19 serological assay procedures and has set forth plans for assay harmonization. To facilitate collaboration and procedure sharing, a detailed survey was sent to collate comprehensive assay details and performance metrics on COVID-19 serological assays within SeroNet. In addition, FNLCR established a protocol to calibrate SeroNet serological assays to reference standards, such as the U.S. severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serology standard reference material and first WHO international standard (IS) for anti-SARS-CoV-2 immunoglobulin (20/136), to facilitate harmonization of assay reporting units and cross-comparison of study data. SeroNet institutions reported development of a total of 27 enzyme-linked immunosorbent assay (ELISA) methods, 13 multiplex assays, and 9 neutralization assays and use of 12 different commercial serological methods. FNLCR developed a standardized protocol for SeroNet institutions to calibrate these diverse serological assays to reference standards. In conclusion, SeroNet institutions have established a diverse array of COVID-19 serological assays to study the immune response to SARS-CoV-2 and vaccines. Calibration of SeroNet serological assays to harmonize results reporting will facilitate future pooled data analyses and study cross-comparisons. IMPORTANCE SeroNet institutions have developed or implemented 61 diverse COVID-19 serological assays and are collaboratively working to harmonize these assays using reference materials to establish standardized reporting units. This will facilitate clinical interpretation of serology results and cross-comparison of research data.
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22
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Kong J, Li W, Hu J, Zhao S, Yue T, Li Z, Xia Y. The Safety of Cold-Chain Food in Post-COVID-19 Pandemic: Precaution and Quarantine. Foods 2022; 11:1540. [PMID: 35681292 PMCID: PMC9180738 DOI: 10.3390/foods11111540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 05/03/2022] [Accepted: 05/20/2022] [Indexed: 02/04/2023] Open
Abstract
Since the outbreak of coronavirus disease-19 (COVID-19), cold-chain food contamination caused by the pathogenic severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has attracted huge concern. Cold-chain foods provide a congenial environment for SARS-CoV-2 survival, which presents a potential risk for public health. Strengthening the SARS-CoV-2 supervision of cold-chain foods has become the top priority in many countries. Methodologically, the potential safety risks and precaution measures of SARS-CoV-2 contamination on cold-chain food are analyzed. To ensure the safety of cold-chain foods, the advances in SARS-CoV-2 detection strategies are summarized based on technical principles and target biomarkers. In particular, the techniques suitable for SARS-CoV-2 detection in a cold-chain environment are discussed. Although many quarantine techniques are available, the field-based quarantine technique on cold-chain food with characteristics of real-time, sensitive, specific, portable, and large-scale application is urgently needed.
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Affiliation(s)
- Jia Kong
- College of Food Science and Engineering, Northwest A&F University, Xianyang 712100, China; (J.K.); (W.L.); (J.H.); (S.Z.); (T.Y.); (Z.L.)
| | - Wenxin Li
- College of Food Science and Engineering, Northwest A&F University, Xianyang 712100, China; (J.K.); (W.L.); (J.H.); (S.Z.); (T.Y.); (Z.L.)
| | - Jinyao Hu
- College of Food Science and Engineering, Northwest A&F University, Xianyang 712100, China; (J.K.); (W.L.); (J.H.); (S.Z.); (T.Y.); (Z.L.)
| | - Shixuan Zhao
- College of Food Science and Engineering, Northwest A&F University, Xianyang 712100, China; (J.K.); (W.L.); (J.H.); (S.Z.); (T.Y.); (Z.L.)
| | - Tianli Yue
- College of Food Science and Engineering, Northwest A&F University, Xianyang 712100, China; (J.K.); (W.L.); (J.H.); (S.Z.); (T.Y.); (Z.L.)
- Laboratory of Quality & Safety Risk Assessment for Agro-Products, Ministry of Agriculture, Xianyang 712100, China
| | - Zhonghong Li
- College of Food Science and Engineering, Northwest A&F University, Xianyang 712100, China; (J.K.); (W.L.); (J.H.); (S.Z.); (T.Y.); (Z.L.)
- Laboratory of Quality & Safety Risk Assessment for Agro-Products, Ministry of Agriculture, Xianyang 712100, China
| | - Yinqiang Xia
- College of Food Science and Engineering, Northwest A&F University, Xianyang 712100, China; (J.K.); (W.L.); (J.H.); (S.Z.); (T.Y.); (Z.L.)
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23
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Karger AB, Brien JD, Christen JM, Dhakal S, Kemp TJ, Klein SL, Pinto LA, Premkumar L, Roback JD, Binder RA, Boehme KW, Boppana S, Cordon-Cardo C, Crawford JM, Daiss JL, Dupuis AP, Espino AM, Firpo-Betancourt A, Forconi C, Forrest JC, Girardin RC, Granger DA, Granger SW, Haddad NS, Heaney CD, Hunt DT, Kennedy JL, King CL, Krammer F, Kruczynski K, LaBaer J, Lee FEH, Lee WT, Liu SL, Lozanski G, Lucas T, Mendu DR, Moormann AM, Murugan V, Okoye NC, Pantoja P, Payne AF, Park J, Pinninti S, Pinto AK, Pisanic N, Qiu J, Sariol CA, Simon V, Song L, Steffen TL, Stone ET, Styer LM, Suthar MS, Thomas SN, Thyagarajan B, Wajnberg A, Yates JL, Sobhani K. The Serological Sciences Network (SeroNet) for COVID-19: Depth and Breadth of Serology Assays and Plans for Assay Harmonization. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.02.27.22271399. [PMID: 35262095 PMCID: PMC8902887 DOI: 10.1101/2022.02.27.22271399] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background In October 2020, the National Cancer Institute (NCI) Serological Sciences Network (SeroNet) was established to study the immune response to COVID-19, and "to develop, validate, improve, and implement serological testing and associated technologies." SeroNet is comprised of 25 participating research institutions partnering with the Frederick National Laboratory for Cancer Research (FNLCR) and the SeroNet Coordinating Center. Since its inception, SeroNet has supported collaborative development and sharing of COVID-19 serological assay procedures and has set forth plans for assay harmonization. Methods To facilitate collaboration and procedure sharing, a detailed survey was sent to collate comprehensive assay details and performance metrics on COVID-19 serological assays within SeroNet. In addition, FNLCR established a protocol to calibrate SeroNet serological assays to reference standards, such as the U.S. SARS-CoV-2 serology standard reference material and First WHO International Standard (IS) for anti-SARS-CoV-2 immunoglobulin (20/136), to facilitate harmonization of assay reporting units and cross-comparison of study data. Results SeroNet institutions reported development of a total of 27 ELISA methods, 13 multiplex assays, 9 neutralization assays, and use of 12 different commercial serological methods. FNLCR developed a standardized protocol for SeroNet institutions to calibrate these diverse serological assays to reference standards. Conclusions SeroNet institutions have established a diverse array of COVID-19 serological assays to study the immune response to SARS-CoV-2 virus and vaccines. Calibration of SeroNet serological assays to harmonize results reporting will facilitate future pooled data analyses and study cross-comparisons.
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Affiliation(s)
- Amy B. Karger
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - James D. Brien
- Department of Molecular Microbiology & Immunology, Saint Louis University, Saint Louis, Missouri
| | - Jayne M. Christen
- Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Santosh Dhakal
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Troy J. Kemp
- Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Sabra L. Klein
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Ligia A. Pinto
- Frederick National Laboratory for Cancer Research, Frederick, Maryland
| | - Lakshmanane Premkumar
- Department of Microbiology and Immunology, University of North Carolina, Chapel Hill, NC
| | - John D. Roback
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Raquel A. Binder
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts
| | - Karl W. Boehme
- Department of Microbiology & Immunology, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Suresh Boppana
- Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Carlos Cordon-Cardo
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - James M. Crawford
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York
| | | | - Alan P. Dupuis
- Wadsworth Center, New York State Department of Health, Albany, New York
| | - Ana M. Espino
- Department of Microbiology and Medical Zoology, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico
| | | | - Catherine Forconi
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts
| | - J. Craig Forrest
- Department of Microbiology & Immunology, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Roxie C. Girardin
- Wadsworth Center, New York State Department of Health, Albany, New York
| | | | | | - Natalie S. Haddad
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University, Atlanta, Georgia
| | - Christopher D. Heaney
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Danielle T. Hunt
- Wadsworth Center, New York State Department of Health, Albany, New York
| | - Joshua L. Kennedy
- Departments of Pediatrics and Internal Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas
- Arkansas Children’s Research Institute, Little Rock, Arkansas
| | - Christopher L. King
- Department of Pathology, Case Western Reserve School of Medicine, Cleveland, Ohio
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Kate Kruczynski
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Joshua LaBaer
- Virginia G Piper Center for Personalized Diagnostics, Arizona State University Biodesign Institute, Tempe, Arizona
| | - F. Eun-Hyung Lee
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, Emory University, Atlanta, Georgia
| | - William T. Lee
- Wadsworth Center, New York State Department of Health, Albany, New York
- Department of Biomedical Sciences, School of Public Health, University at Albany, Albany, New York
| | - Shan-Lu Liu
- Center for Retrovirus Research, Department of Veterinary Biosciences, Department of Microbial Infection and Immunity, Viruses and Emerging Pathogens Program, Infectious Disease Institute, The Ohio State University, Columbus, Ohio
| | - Gerard Lozanski
- Department of Pathology, The Ohio State University Medical Center, Columbus, Ohio
| | - Todd Lucas
- Division of Public Health and Department of Epidemiology, College of Human Medicine, Michigan State University, East Lansing, Michigan
| | - Damodara Rao Mendu
- Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Ann M. Moormann
- Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts
| | - Vel Murugan
- Virginia G Piper Center for Personalized Diagnostics, Arizona State University Biodesign Institute, Tempe, Arizona
| | - Nkemakonam C. Okoye
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York
| | - Petraleigh Pantoja
- Unit of Comparative Medicine, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico
| | - Anne F. Payne
- Wadsworth Center, New York State Department of Health, Albany, New York
| | - Jin Park
- Virginia G Piper Center for Personalized Diagnostics, Arizona State University Biodesign Institute, Tempe, Arizona
| | - Swetha Pinninti
- Department of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama
| | - Amelia K. Pinto
- Department of Molecular Microbiology & Immunology, Saint Louis University, Saint Louis, Missouri
| | - Nora Pisanic
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Ji Qiu
- Virginia G Piper Center for Personalized Diagnostics, Arizona State University Biodesign Institute, Tempe, Arizona
| | - Carlos A. Sariol
- Unit of Comparative Medicine, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico
- Department of Internal Medicine, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico
| | - Viviana Simon
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Lusheng Song
- Virginia G Piper Center for Personalized Diagnostics, Arizona State University Biodesign Institute, Tempe, Arizona
| | - Tara L. Steffen
- Department of Molecular Microbiology & Immunology, Saint Louis University, Saint Louis, Missouri
| | - E. Taylor Stone
- Department of Molecular Microbiology & Immunology, Saint Louis University, Saint Louis, Missouri
| | - Linda M. Styer
- Wadsworth Center, New York State Department of Health, Albany, New York
- Department of Biomedical Sciences, School of Public Health, University at Albany, Albany, New York
| | - Mehul S. Suthar
- Center for Childhood Infections and Vaccines of Children’s Healthcare Atlanta, Department of Pediatrics, Department of Microbiology and Immunology, Emory Vaccine Center, Yerkes National Primate Research Center, Emory University School of Medicine, Atlanta, Georgia
| | - Stefani N. Thomas
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota
| | - Ania Wajnberg
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Jennifer L. Yates
- Wadsworth Center, New York State Department of Health, Albany, New York
- Department of Biomedical Sciences, School of Public Health, University at Albany, Albany, New York
| | - Kimia Sobhani
- Department of Pathology and Laboratory Medicine, Cedars-Sinai Medical Center, Los Angeles, California
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24
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Ochola L, Ogongo P, Mungai S, Gitaka J, Suliman S. Performance Evaluation of Lateral Flow Assays for Coronavirus Disease-19 Serology. Clin Lab Med 2022; 42:31-56. [PMID: 35153047 PMCID: PMC8563367 DOI: 10.1016/j.cll.2021.10.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
The coronavirus disease of 2019 (COVID-19) pandemic, caused by infection with the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has undoubtedly resulted in significant morbidities, mortalities, and economic disruptions across the globe. Affordable and scalable tools to monitor the transmission dynamics of the SARS-CoV-2 virus and the longevity of induced antibodies will be paramount to monitor and control the pandemic as multiple waves continue to rage in many countries. Serologic assays detect humoral responses to the virus, to determine seroprevalence in target populations, or induction of antibodies at the individual level following either natural infection or vaccination. With multiple vaccines rolling out globally, serologic assays to detect anti-SARS-CoV-2 antibodies will be important tools to monitor the development of herd immunity. To address this need, serologic lateral flow assays (LFAs), which can be easily implemented for both population surveillance and home use, will be vital to monitor the evolution of the pandemic and inform containment measures. Such assays are particularly important for monitoring the transmission dynamics and durability of immunity generated by natural infections and vaccination, particularly in resource-limited settings. In this review, we discuss considerations for evaluating the accuracy of these LFAs, their suitability for different use cases, and implementation opportunities.
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Affiliation(s)
- Lucy Ochola
- Department of Tropical and Infectious Diseases, Institute of Primate Research, National Museums of Kenya, PO Box 24481, Nairobi 00502, Kenya
| | - Paul Ogongo
- Department of Tropical and Infectious Diseases, Institute of Primate Research, National Museums of Kenya, PO Box 24481, Nairobi 00502, Kenya; Division of Experimental Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Samuel Mungai
- Directorate of Research and Innovation, Mount Kenya University, PO Box 342-01000, Thika, Kenya
| | - Jesse Gitaka
- Directorate of Research and Innovation, Mount Kenya University, PO Box 342-01000, Thika, Kenya
| | - Sara Suliman
- Division of Experimental Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA 94143, USA; Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Boston, MA 02115, USA.
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25
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Dual amplification enabled counting based ultrasensitive enzyme-linked immunosorbent assay. Anal Chim Acta 2022; 1198:339510. [DOI: 10.1016/j.aca.2022.339510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 01/12/2022] [Accepted: 01/14/2022] [Indexed: 11/17/2022]
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26
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Ma KC, Hale JE, Grad YH, Alter G, Luzuriaga K, Eaton RB, Fischinger S, Kaur D, Brody R, Siddiqui SM, Leach D, Brown CM, Klevens RM, Madoff L, Comeau AM. Trends in SARS-CoV-2 seroprevalence in Massachusetts estimated from newborn screening specimens. Clin Infect Dis 2022; 75:e105-e113. [PMID: 35213690 PMCID: PMC8903451 DOI: 10.1093/cid/ciac158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Estimating the cumulative incidence of SARS-CoV-2 is essential for setting public health policies. We leveraged de-identified Massachusetts newborn screening specimens to generate an accessible, retrospective source of maternal antibodies for estimating statewide SARS-CoV-2 seroprevalence in a non-test-seeking population. METHODS We analyzed 72,117 newborn dried blood spots collected from November 2019 through December 2020, representing 337 towns and cities across Massachusetts. Seroprevalence was estimated for the general Massachusetts population after correcting for imperfect test specificity and nonrepresentative sampling using Bayesian multilevel regression and poststratification. RESULTS Statewide seroprevalence was estimated to be 0.03% (90% credible interval (CI) [0.00, 0.11]) in November 2019 and rose to 1.47% (90% CI [1.00, 2.13]) by May 2020, following sustained SARS-CoV-2 transmission in the spring. Seroprevalence plateaued from May onwards, reaching 2.15% (90% CI [1.56, 2.98]) in December 2020. Seroprevalence varied substantially by community and was particularly associated with community percent non-Hispanic Black (β = 0.024, 90% CI [0.004, 0.044]); i.e., a 10% increase in community percent non-Hispanic Black was associated with a 27% higher odds of seropositivity. Seroprevalence estimates had good concordance with reported case counts and wastewater surveillance for most of 2020, prior to the resurgence of transmission in winter. CONCLUSIONS Cumulative incidence of SARS-CoV-2 protective antibody in Massachusetts was low as of December 2020, indicating that a substantial fraction of the population was still susceptible. Maternal seroprevalence data from newborn screening can inform longitudinal trends and identify cities and towns at highest risk, particularly in settings where widespread diagnostic testing is unavailable.
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Affiliation(s)
- Kevin C Ma
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Jaime E Hale
- New England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA
| | - Yonatan H Grad
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Galit Alter
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts, United States
| | - Katherine Luzuriaga
- Program in Molecular Medicine, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, USA.,UMass Center for Clinical and Translational Science at UMass Chan Medical School, Worcester, Massachusetts, USA
| | - Roger B Eaton
- New England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA.,Department of Pediatrics, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, USA
| | - Stephanie Fischinger
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts, United States
| | - Devinder Kaur
- New England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA.,Department of Pediatrics, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, USA
| | - Robin Brody
- Program in Molecular Medicine, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, USA
| | - Sameed M Siddiqui
- Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.,Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Dylan Leach
- Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, Massachusetts, USA
| | - Catherine M Brown
- Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, Massachusetts, USA
| | - R Monina Klevens
- Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, Massachusetts, USA
| | - Lawrence Madoff
- Bureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, Massachusetts, USA
| | - Anne Marie Comeau
- New England Newborn Screening Program, UMass Chan Medical School, Worcester, Massachusetts, USA.,Department of Pediatrics, T.H. Chan School of Medicine at UMass Chan Medical School, Worcester, Massachusetts, USA
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27
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Siddiqui SM, Bowman KA, Zhu AL, Fischinger S, Beger S, Maron JS, Bartsch YC, Atyeo C, Gorman MJ, Yanis A, Hultquist JF, Lorenzo-Redondo R, Ozer EA, Simons LM, Talj R, Rankin DA, Chapman L, Meade K, Steinhart J, Mullane S, Siebert S, Streeck H, Sabeti P, Halasa N, Musk ER, Barouch DH, Menon AS, Nilles EJ, Lauffenburger DA, Alter G. Serological Markers of SARS-CoV-2 Reinfection. mBio 2022; 13:e0214121. [PMID: 35073738 PMCID: PMC8787477 DOI: 10.1128/mbio.02141-21] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Accepted: 12/13/2021] [Indexed: 01/09/2023] Open
Abstract
As public health guidelines throughout the world have relaxed in response to vaccination campaigns against SARS-CoV-2, it is likely that SARS-CoV-2 will remain endemic, fueled by the rise of more infectious SARS-CoV-2 variants. Moreover, in the setting of waning natural and vaccine immunity, reinfections have emerged across the globe, even among previously infected and vaccinated individuals. As such, the ability to detect reexposure to and reinfection by SARS-CoV-2 is a key component for global protection against this virus and, more importantly, against the potential emergence of vaccine escape mutations. Accordingly, there is a strong and continued need for the development and deployment of simple methods to detect emerging hot spots of reinfection to inform targeted pandemic response and containment, including targeted and specific deployment of vaccine booster campaigns. In this study, we identify simple, rapid immune biomarkers of reinfection in rhesus macaques, including IgG3 antibody levels against nucleocapsid and FcγR2A receptor binding activity of anti-RBD antibodies, that are recapitulated in human reinfection cases. As such, this cross-species analysis underscores the potential utility of simple antibody titers and function as price-effective and scalable markers of reinfection to provide increased resolution and resilience against new outbreaks. IMPORTANCE As public health and social distancing guidelines loosen in the setting of waning global natural and vaccine immunity, a deeper understanding of the immunological response to reexposure and reinfection to this highly contagious pathogen is necessary to maintain public health. Viral sequencing analysis provides a robust but unrealistic means to monitor reinfection globally. The identification of scalable pathogen-specific biomarkers of reexposure and reinfection, however, could significantly accelerate our capacity to monitor the spread of the virus through naive and experienced hosts, providing key insights into mechanisms of disease attenuation. Using a nonhuman primate model of controlled SARS-CoV-2 reexposure, we deeply probed the humoral immune response following rechallenge with various doses of viral inocula. We identified virus-specific humoral biomarkers of reinfection, with significant increases in antibody titer and function upon rechallenge across a range of humoral features, including IgG1 to the receptor binding domain of the spike protein of SARS-CoV-2 (RBD), IgG3 to the nucleocapsid protein (N), and FcγR2A receptor binding to anti-RBD antibodies. These features not only differentiated primary infection from reexposure and reinfection in monkeys but also were recapitulated in a sequencing-confirmed reinfection patient and in a cohort of putatively reinfected humans that evolved a PCR-positive test in spite of preexisting seropositivity. As such, this cross-species analysis using a controlled primate model and human cohorts reveals increases in antibody titers as promising cross-validated serological markers of reinfection and reexposure.
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Affiliation(s)
- Sameed M. Siddiqui
- Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Kathryn A. Bowman
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
| | - Alex L. Zhu
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
| | - Stephanie Fischinger
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
- PhD Program in Immunology and Virology, University of Duisburg-Essen, Essen, Germany
| | - Samuel Beger
- Space Exploration Technologies Corp., Hawthorne, California, USA
| | - Jenny S. Maron
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
- PhD Program in Virology, Division of Medical Sciences, Harvard University, Boston, Massachusetts, USA
| | - Yannic C. Bartsch
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
| | - Caroline Atyeo
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
- PhD Program in Virology, Division of Medical Sciences, Harvard University, Boston, Massachusetts, USA
| | - Matthew J. Gorman
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
| | - Ahmad Yanis
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Judd F. Hultquist
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Pathogen Genomics and Microbial Evolution, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Ramon Lorenzo-Redondo
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Pathogen Genomics and Microbial Evolution, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Egon A. Ozer
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Pathogen Genomics and Microbial Evolution, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Lacy M. Simons
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Center for Pathogen Genomics and Microbial Evolution, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Rana Talj
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Danielle A. Rankin
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Epidemiology PhD Program, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Lindsay Chapman
- Space Exploration Technologies Corp., Hawthorne, California, USA
| | - Kyle Meade
- Space Exploration Technologies Corp., Hawthorne, California, USA
| | - Jordan Steinhart
- Space Exploration Technologies Corp., Hawthorne, California, USA
| | - Sean Mullane
- Space Exploration Technologies Corp., Hawthorne, California, USA
| | - Suzanne Siebert
- Space Exploration Technologies Corp., Hawthorne, California, USA
| | - Hendrik Streeck
- Institute of Virology, University Hospital, University of Bonn, and German Center for Infection Research (DZIF), partner site Bonn-Cologne, Cologne, Germany
| | - Pardis Sabeti
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Harvard T.H. Chan School of Public Health, Cambridge, Massachusetts, USA
- Howard Hughes Medical Institute, Chevy Chase, Maryland, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, Massachusetts, USA
| | - Natasha Halasa
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Elon R. Musk
- Space Exploration Technologies Corp., Hawthorne, California, USA
| | - Dan H. Barouch
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
- Brigham and Women’s Hospital, Department of Emergency Medicine, Boston, Massachusetts, USA
- Harvard Medical School, Harvard University, Cambridge, Massachusetts, USA
| | - Anil S. Menon
- Space Exploration Technologies Corp., Hawthorne, California, USA
| | - Eric J. Nilles
- Department of Medicine, Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Brigham and Women’s Hospital, Department of Emergency Medicine, Boston, Massachusetts, USA
- Harvard Medical School, Harvard University, Cambridge, Massachusetts, USA
- Harvard Humanitarian Initiative, Boston, Massachusetts, USA
| | - Douglas A. Lauffenburger
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Galit Alter
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, Massachusetts, USA
- Massachusetts Consortium on Pathogen Readiness, Boston, Massachusetts, USA
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28
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Finch E, Lowe R, Fischinger S, de St Aubin M, Siddiqui SM, Dayal D, Loesche MA, Rhee J, Beger S, Hu Y, Gluck MJ, Mormann B, Hasdianda MA, Musk ER, Alter G, Menon AS, Nilles EJ, Kucharski AJ. SARS-CoV-2 antibodies protect against reinfection for at least 6 months in a multicentre seroepidemiological workplace cohort. PLoS Biol 2022; 20:e3001531. [PMID: 35143473 PMCID: PMC8865659 DOI: 10.1371/journal.pbio.3001531] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 02/23/2022] [Accepted: 01/07/2022] [Indexed: 11/28/2022] Open
Abstract
Identifying the potential for SARS-CoV-2 reinfection is crucial for understanding possible long-term epidemic dynamics. We analysed longitudinal PCR and serological testing data from a prospective cohort of 4,411 United States employees in 4 states between April 2020 and February 2021. We conducted a multivariable logistic regression investigating the association between baseline serological status and subsequent PCR test result in order to calculate an odds ratio for reinfection. We estimated an odds ratio for reinfection ranging from 0.14 (95% CI: 0.019 to 0.63) to 0.28 (95% CI: 0.05 to 1.1), implying that the presence of SARS-CoV-2 antibodies at baseline is associated with around 72% to 86% reduced odds of a subsequent PCR positive test based on our point estimates. This suggests that primary infection with SARS-CoV-2 provides protection against reinfection in the majority of individuals, at least over a 6-month time period. We also highlight 2 major sources of bias and uncertainty to be considered when estimating the relative risk of reinfection, confounders and the choice of baseline time point, and show how to account for both in reinfection analysis. Identifying the potential for SARS-CoV-2 reinfection is crucial for understanding possible long-term epidemic dynamics. Analysis of a seroepidemiological cohort suggests that primary infection with SARS-CoV-2 protects against reinfection in the majority of individuals, at least over a six month period.
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Affiliation(s)
- Emilie Finch
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
- * E-mail:
| | - Rachel Lowe
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Stephanie Fischinger
- Ragon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts, United States of America
- Institut für HIV Forschung, Universität Duisburg-Essen, Duisburg, Germany
| | - Michael de St Aubin
- Harvard Humanitarian Initiative, Cambridge, Massachusetts, United States of America
| | - Sameed M. Siddiqui
- Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Diana Dayal
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | - Michael A. Loesche
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
- Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Justin Rhee
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | - Samuel Beger
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | - Yiyuan Hu
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | - Matthew J. Gluck
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | - Benjamin Mormann
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | | | - Elon R. Musk
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | - Galit Alter
- Ragon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts, United States of America
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Anil S. Menon
- Space Exploration Technologies Corp, Hawthorne, California, United States of America
| | - Eric J. Nilles
- Harvard Humanitarian Initiative, Cambridge, Massachusetts, United States of America
- Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Adam J. Kucharski
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
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29
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Peng R, Pan Y, Li Z, Qin Z, Rini JM, Liu X. SPEEDS: A portable serological testing platform for rapid electrochemical detection of SARS-CoV-2 antibodies. Biosens Bioelectron 2022; 197:113762. [PMID: 34773750 PMCID: PMC8558107 DOI: 10.1016/j.bios.2021.113762] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 10/27/2021] [Accepted: 10/30/2021] [Indexed: 12/23/2022]
Abstract
The COVID-19 pandemic has resulted in a worldwide health crisis. Rapid diagnosis, new therapeutics and effective vaccines will all be required to stop the spread of COVID-19. Quantitative evaluation of serum antibody levels against the SARS-CoV-2 virus provides a means of monitoring a patient's immune response to a natural viral infection or vaccination, as well as evidence of a prior infection. In this paper, a portable and low-cost electrochemical immunosensor is developed for the rapid and accurate quantification of SARS-CoV-2 serum antibodies. The immunosensor is capable of quantifying the concentrations of immunoglobulin G (IgG) and immunoglobulin M (IgM) antibodies against the SARS-CoV-2 spike protein in human serum. For IgG and IgM, it provides measurements in the range of 10.1 ng/mL − 60 μg/mL and 1.64 ng/mL − 50 μg/mL, respectively, both with an assay time of 13 min. We also developed device stabilization and storage strategies to achieve stable performance of the immunosensor over 24-week storage at room temperature. We evaluated the performance of the immunosensor using COVID-19 patient serum samples collected at different time points after symptom onset. The rapid and sensitive detection of IgG and IgM provided by our immunosensor fulfills the need of rapid COVID-19 serological testing for both point-of-care diagnosis and population immunity screening.
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Affiliation(s)
- Ran Peng
- Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, Ontario, M5S 3G8, Canada
| | - Yueyue Pan
- Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, Ontario, M5S 3G8, Canada
| | - Zhijie Li
- Department of Molecular Genetics, University of Toronto, 361 University Ave, Toronto, Ontario, M5G 1M1, Canada
| | - Zhen Qin
- Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, Ontario, M5S 3G8, Canada
| | - James M Rini
- Department of Molecular Genetics, University of Toronto, 361 University Ave, Toronto, Ontario, M5G 1M1, Canada; Department of Biochemistry, University of Toronto, 361 University Ave, Toronto, Ontario, M5G 1M1, Canada
| | - Xinyu Liu
- Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, Ontario, M5S 3G8, Canada; Institute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ontario, M5S 3G9, Canada.
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30
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Wei SC, Hsu WT, Chiu CH, Chang FY, Lo HR, Liao CY, Yang HI, Chou YC, Tsai CH, Chao YC. An Integrated Platform for Serological Detection and Vaccination of COVID-19. Front Immunol 2022; 12:771011. [PMID: 35003088 PMCID: PMC8734241 DOI: 10.3389/fimmu.2021.771011] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 11/25/2021] [Indexed: 12/13/2022] Open
Abstract
Coronavirus Disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), is an ongoing pandemic. Detection and vaccination are essential for disease control, but they are distinct and complex operations that require significant improvements. Here, we developed an integrated detection and vaccination system to greatly simplify these efforts. We constructed recombinant baculoviruses to separately display the nucleocapsid (N) and spike (S) proteins of SARS-CoV-2. Insect cells infected by the recombinant baculoviruses were used to generate a cell-based system to accurately detect patient serum. Notably, although well-recognized by our newly developed detection system in which S-displaying insect cells acted as antigen, anti-S antibodies from many patients were barely detectable by Western blot, evidencing that COVID-19 patients primarily produce conformation-dependent anti-S antibodies. Furthermore, the same baculovirus constructs can display N (N-Bac) or S (S-Bac) on the baculovirus envelope and serve as vector vaccines. Animal experiments show that S-Bac or N-Bac immunization in mice elicited a strong and specific antibody response, and S-Bac in particular stimulated effective neutralizing antibodies without the need for adjuvant. Our integrated system maintains antigen conformation and membrane structure to facilitate serum detection and antibody stimulation. Thus, compared with currently available technologies, our system represents a simplified and efficient platform for better SARS-CoV-2 detection and vaccination.
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Affiliation(s)
- Sung-Chan Wei
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan
| | - Wei-Ting Hsu
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan
| | - Chun-Hsiang Chiu
- Division of Infectious Disease and Tropical Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Feng-Yee Chang
- Division of Infectious Disease and Tropical Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Huei-Ru Lo
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan
| | - Chuan-Yu Liao
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan
| | - Hwai-I Yang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Yu-Chi Chou
- Biomedical Translation Research Center, Academia Sinica, Taipei, Taiwan
| | - Chih-Hsuan Tsai
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan
| | - Yu-Chan Chao
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan.,Department of Entomology, College of Agriculture and Nature Resources, National Chung Hsing University, Taichung, Taiwan.,Department of Entomology, College of Bioresources and Agriculture, National Taiwan University, Taipei, Taiwan.,Department of Plant Pathology and Microbiology, College of Bioresources and Agriculture, National Taiwan University, Taipei, Taiwan
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31
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Salazar-García M, Acosta-Contreras S, Rodríguez-Martínez G, Cruz-Rangel A, Flores-Alanis A, Patiño-López G, Luna-Pineda VM. Pseudotyped Vesicular Stomatitis Virus-Severe Acute Respiratory Syndrome-Coronavirus-2 Spike for the Study of Variants, Vaccines, and Therapeutics Against Coronavirus Disease 2019. Front Microbiol 2022; 12:817200. [PMID: 35095820 PMCID: PMC8795712 DOI: 10.3389/fmicb.2021.817200] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 12/20/2021] [Indexed: 12/14/2022] Open
Abstract
World Health Organization (WHO) has prioritized the infectious emerging diseases such as Coronavirus Disease (COVID-19) in terms of research and development of effective tests, vaccines, antivirals, and other treatments. Severe Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2), the etiological causative agent of COVID-19, is a virus belonging to risk group 3 that requires Biosafety Level (BSL)-3 laboratories and the corresponding facilities for handling. An alternative to these BSL-3/-4 laboratories is to use a pseudotyped virus that can be handled in a BSL-2 laboratory for study purposes. Recombinant Vesicular Stomatitis Virus (VSV) can be generated with complementary DNA from complete negative-stranded genomic RNA, with deleted G glycoprotein and, instead, incorporation of other fusion protein, like SARS-CoV-2 Spike (S protein). Accordingly, it is called pseudotyped VSV-SARS-CoV-2 S. In this review, we have described the generation of pseudotyped VSV with a focus on the optimization and application of pseudotyped VSV-SARS-CoV-2 S. The application of this pseudovirus has been addressed by its use in neutralizing antibody assays in order to evaluate a new vaccine, emergent SARS-CoV-2 variants (delta and omicron), and approved vaccine efficacy against variants of concern as well as in viral fusion-focused treatment analysis that can be performed under BSL-2 conditions.
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Affiliation(s)
- Marcela Salazar-García
- Laboratorio de Biología del Desarrollo y Teratogénesis Experimental, Hospital Infantil de México “Federico Gómez”, Mexico City, Mexico
- Laboratorio de Investigación en COVID-19, Hospital Infantil de México “Federico Gómez”, Mexico City, Mexico
| | - Samyr Acosta-Contreras
- Laboratorio de Investigación en COVID-19, Hospital Infantil de México “Federico Gómez”, Mexico City, Mexico
| | | | - Armando Cruz-Rangel
- Laboratorio de Bioquímica de Enfermedades Crónicas, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Alejandro Flores-Alanis
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Genaro Patiño-López
- Unidad de Investigación en Inmunología y Proteómica, Hospital Infantil de México “Federico Gómez”, Mexico City, Mexico
| | - Victor M. Luna-Pineda
- Laboratorio de Investigación en COVID-19, Hospital Infantil de México “Federico Gómez”, Mexico City, Mexico
- Unidad de Investigación en Inmunología y Proteómica, Hospital Infantil de México “Federico Gómez”, Mexico City, Mexico
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32
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Ranjbar M, Asadi M, Nourigorji M, Sarkari B, Mostafavi‐Pour Z, Zomorodian K, Shabaninejad Z, Taheri‐Anganeh M, Maleksabet A, Moghadami M, Savardashtaki A. Development of a recombinant nucleocapsid protein-based ELISA for the detection of IgM and IgG antibodies to SARS-CoV-2. Biotechnol Appl Biochem 2022; 69:2592-2598. [PMID: 34965611 PMCID: PMC9011413 DOI: 10.1002/bab.2308] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 12/19/2021] [Indexed: 12/27/2022]
Abstract
Coronavirus 2019 (COVID-19) is a global concern for public health. Thus, early and accurate diagnosis is a critical step in management of this infectious disease. Currently, RT-PCR is routine diagnosis test for COVID-19, but it has some limitations and false negative results. enzyme-linked immunosorbent assay (ELISA) against SARS-CoV-2 antigens seems to be an appropriate approach for serodiagnosis of COVID-19. In the current study, an ELISA system, using a recombinant nucleocapsid (N) protein, was developed for the detection of IgM and IgG antibodies to SARS-CoV-2. The related protein was expressed, purified, and used in an ELISA system. Sera samples (67) for COVID-19 patients, as well as sera samples from healthy volunteers (112), along with sera samples from non-COVID-19 patients were examined by the ELISA system. The expression and purity of the recombinant N protein were approved by SDS-PAGE and Western blotting. The sensitivity of ELISA system was 91.04 and 92.53% for the detection of IgG and IgM antibodies, respectively. Moreover, the specificity of the developed ELISA system for IgG and IgM were 98.21 and 97.32%, respectively. Our developed ELISA system showed satisfactory sensitivity and specificity for the detection of antiSARS-CoV-2 IgM and IgG antibodies and could be used as a complementary approach for proper diagnosis of COVID-19.
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Affiliation(s)
- Maryam Ranjbar
- Department of Medical Biotechnology, School of Advanced Medical Sciences and TechnologiesShiraz University of Medical SciencesShirazIran
| | - Marzieh Asadi
- Department of Medical Biotechnology, School of Advanced Medical Sciences and TechnologiesShiraz University of Medical SciencesShirazIran
| | - Marjan Nourigorji
- Health Research InstituteBabol University of Medical SciencesBabolIran
| | - Bahador Sarkari
- Department of Parasitology and Mycology, School of MedicineShiraz University of Medical SciencesShirazIran,Basic Sciences in Infectious Diseases Research CenterShiraz University of Medical SciencesShirazIran
| | - Zohreh Mostafavi‐Pour
- Recombinant Protein Laboratory, Department of Biochemistry, School of MedicineShiraz University of Medical SciencesShirazIran,Autophagy Research CenterShiraz University of Medical SciencesShirazIran
| | - Kamiar Zomorodian
- Department of Parasitology and Mycology, School of MedicineShiraz University of Medical SciencesShirazIran,Basic Sciences in Infectious Diseases Research CenterShiraz University of Medical SciencesShirazIran
| | - Zahra Shabaninejad
- Department of Nanobiotechnology, Faculty of Biological SciencesTarbiat Modares UniversityTehranIran,Pharmaceutical Sciences Research CenterShiraz University of Medical SciencesShirazIran
| | - Mortaza Taheri‐Anganeh
- Department of Medical Biotechnology, School of Advanced Medical Sciences and TechnologiesShiraz University of Medical SciencesShirazIran
| | - Amir Maleksabet
- Department of Medical Biotechnology, School of Advanced Technologies in MedicineMazandaran University of Medical SciencesSariIran
| | - Mohsen Moghadami
- Department of Internal Medicine, School of MedicineShiraz University of Medical SciencesShirazIran,Health Policy Research CenterShiraz University of Medical SciencesShirazIran
| | - Amir Savardashtaki
- Department of Medical Biotechnology, School of Advanced Medical Sciences and TechnologiesShiraz University of Medical SciencesShirazIran,Infertility Research CenterShiraz University of Medical SciencesShirazIran
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33
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Hassani Nejad Z, Fatemi F, Ranaei Siadat SE. An outlook on coronavirus disease 2019 detection methods. J Pharm Anal 2021; 12:205-214. [PMID: 34777894 PMCID: PMC8578030 DOI: 10.1016/j.jpha.2021.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 10/22/2021] [Accepted: 11/07/2021] [Indexed: 12/15/2022] Open
Abstract
Diagnostic testing plays a fundamental role in the mitigation and containment of coronavirus disease 2019 (COVID-19), as it enables immediate quarantine of those who are infected and contagious and is essential for the epidemiological characterization of the virus and estimating the number of infected cases worldwide. Confirmation of viral infections, such as COVID-19, can be achieved through two general approaches: nucleic acid amplification tests (NAATs) or molecular tests, and serological or antibody-based tests. The genetic material of the pathogen is detected in NAAT, and in serological tests, host antibodies produced in response to the pathogen are identified. Other methods of diagnosing COVID-19 include radiological imaging of the lungs and in vitro detection of viral antigens. This review covers different approaches available to diagnosing COVID-19 by outlining their advantages and shortcomings, as well as appropriate indications for more accurate testing. Diagnostic tests to detect coronavirus disease 2019 (COVID-19). Advantages and disadvantages associated with each detection method. Implications for a more accurate and rapid testing of COVID-19 or other similar future emergent viruses.
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Affiliation(s)
- Zahra Hassani Nejad
- Department of Biochemistry, Institute of Biochemistry and Biophysics, University of Tehran, Tehran, 1417935840, Iran
| | - Fataneh Fatemi
- Department of Protein Research, Protein Research Center, Shahid Beheshti University, Tehran, 1983969411, Iran
- Corresponding author.
| | - Seyed Ehsan Ranaei Siadat
- Sobhan Recombinant Protein Company, Research and Development Department, Tehran, 1654120871, Iran
- Corresponding author.
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34
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Nilles EJ, Siddiqui SM, Fischinger S, Bartsch YC, de St. Aubin M, Zhou G, Gluck MJ, Berger S, Rhee J, Petersen E, Mormann B, Loesche M, Hu Y, Chen Z, Yu J, Gebre M, Atyeo C, Gorman MJ, Zhu AL, Burke J, Slein M, Hasdianda MA, Jambaulikar G, Boyer EW, Sabeti PC, Barouch DH, Julg B, Kucharski AJ, Musk ER, Lauffenburger DA, Alter G, Menon AS. Epidemiological and Immunological Features of Obesity and SARS-CoV-2. Viruses 2021; 13:2235. [PMID: 34835041 PMCID: PMC8624148 DOI: 10.3390/v13112235] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 10/29/2021] [Accepted: 11/02/2021] [Indexed: 12/15/2022] Open
Abstract
Obesity is a key correlate of severe SARS-CoV-2 outcomes while the role of obesity on risk of SARS-CoV-2 infection, symptom phenotype, and immune response remain poorly defined. We examined data from a prospective SARS-CoV-2 cohort study to address these questions. Serostatus, body mass index, demographics, comorbidities, and prior COVID-19 compatible symptoms were assessed at baseline and serostatus and symptoms monthly thereafter. SARS-CoV-2 immunoassays included an IgG ELISA targeting the spike RBD, multiarray Luminex targeting 20 viral antigens, pseudovirus neutralization, and T cell ELISPOT assays. Our results from a large prospective SARS-CoV-2 cohort study indicate symptom phenotype is strongly influenced by obesity among younger but not older age groups; we did not identify evidence to suggest obese individuals are at higher risk of SARS-CoV-2 infection; and remarkably homogenous immune activity across BMI categories suggests immune protection across these groups may be similar.
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Affiliation(s)
- Eric J. Nilles
- Brigham and Women’s Hospital, Boston, MA 02115, USA; (G.Z.); (B.M.); (M.L.); (M.A.H.); (G.J.); (E.W.B.)
- Harvard Medical School, Boston, MA 02115, USA
- Harvard Humanitarian Initiative, Boston, MA 02114, USA;
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA; (P.C.S.); (G.A.)
| | - Sameed M. Siddiqui
- Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA 02139, USA;
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; (D.H.B.); (B.J.)
| | - Stephanie Fischinger
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA; (S.F.); (Y.C.B.); (Z.C.); (J.Y.); (M.G.); (C.A.); (M.J.G.); (A.L.Z.); (J.B.); (M.S.)
| | - Yannic C. Bartsch
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA; (S.F.); (Y.C.B.); (Z.C.); (J.Y.); (M.G.); (C.A.); (M.J.G.); (A.L.Z.); (J.B.); (M.S.)
| | | | - Guohai Zhou
- Brigham and Women’s Hospital, Boston, MA 02115, USA; (G.Z.); (B.M.); (M.L.); (M.A.H.); (G.J.); (E.W.B.)
- Harvard Medical School, Boston, MA 02115, USA
| | - Matthew J. Gluck
- Space Exploration Technologies Corp., Hawthorne, CA 90250, USA; (M.J.G.); (S.B.); (J.R.); (E.P.); (Y.H.); (E.R.M.); (A.S.M.)
| | - Samuel Berger
- Space Exploration Technologies Corp., Hawthorne, CA 90250, USA; (M.J.G.); (S.B.); (J.R.); (E.P.); (Y.H.); (E.R.M.); (A.S.M.)
| | - Justin Rhee
- Space Exploration Technologies Corp., Hawthorne, CA 90250, USA; (M.J.G.); (S.B.); (J.R.); (E.P.); (Y.H.); (E.R.M.); (A.S.M.)
| | - Eric Petersen
- Space Exploration Technologies Corp., Hawthorne, CA 90250, USA; (M.J.G.); (S.B.); (J.R.); (E.P.); (Y.H.); (E.R.M.); (A.S.M.)
| | - Benjamin Mormann
- Brigham and Women’s Hospital, Boston, MA 02115, USA; (G.Z.); (B.M.); (M.L.); (M.A.H.); (G.J.); (E.W.B.)
- Space Exploration Technologies Corp., Hawthorne, CA 90250, USA; (M.J.G.); (S.B.); (J.R.); (E.P.); (Y.H.); (E.R.M.); (A.S.M.)
| | - Michael Loesche
- Brigham and Women’s Hospital, Boston, MA 02115, USA; (G.Z.); (B.M.); (M.L.); (M.A.H.); (G.J.); (E.W.B.)
- Space Exploration Technologies Corp., Hawthorne, CA 90250, USA; (M.J.G.); (S.B.); (J.R.); (E.P.); (Y.H.); (E.R.M.); (A.S.M.)
| | - Yiyuan Hu
- Space Exploration Technologies Corp., Hawthorne, CA 90250, USA; (M.J.G.); (S.B.); (J.R.); (E.P.); (Y.H.); (E.R.M.); (A.S.M.)
| | - Zhilin Chen
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA; (S.F.); (Y.C.B.); (Z.C.); (J.Y.); (M.G.); (C.A.); (M.J.G.); (A.L.Z.); (J.B.); (M.S.)
| | - Jingyou Yu
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA; (S.F.); (Y.C.B.); (Z.C.); (J.Y.); (M.G.); (C.A.); (M.J.G.); (A.L.Z.); (J.B.); (M.S.)
- Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Makda Gebre
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA; (S.F.); (Y.C.B.); (Z.C.); (J.Y.); (M.G.); (C.A.); (M.J.G.); (A.L.Z.); (J.B.); (M.S.)
- Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Caroline Atyeo
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA; (S.F.); (Y.C.B.); (Z.C.); (J.Y.); (M.G.); (C.A.); (M.J.G.); (A.L.Z.); (J.B.); (M.S.)
| | - Matthew J. Gorman
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA; (S.F.); (Y.C.B.); (Z.C.); (J.Y.); (M.G.); (C.A.); (M.J.G.); (A.L.Z.); (J.B.); (M.S.)
| | - Alex Lee Zhu
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA; (S.F.); (Y.C.B.); (Z.C.); (J.Y.); (M.G.); (C.A.); (M.J.G.); (A.L.Z.); (J.B.); (M.S.)
| | - John Burke
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA; (S.F.); (Y.C.B.); (Z.C.); (J.Y.); (M.G.); (C.A.); (M.J.G.); (A.L.Z.); (J.B.); (M.S.)
| | - Matthew Slein
- Ragon Institute of MGH, MIT and Harvard, Cambridge, MA 02139, USA; (S.F.); (Y.C.B.); (Z.C.); (J.Y.); (M.G.); (C.A.); (M.J.G.); (A.L.Z.); (J.B.); (M.S.)
| | - Mohammad A. Hasdianda
- Brigham and Women’s Hospital, Boston, MA 02115, USA; (G.Z.); (B.M.); (M.L.); (M.A.H.); (G.J.); (E.W.B.)
- Harvard Medical School, Boston, MA 02115, USA
| | - Guruprasad Jambaulikar
- Brigham and Women’s Hospital, Boston, MA 02115, USA; (G.Z.); (B.M.); (M.L.); (M.A.H.); (G.J.); (E.W.B.)
- Harvard Medical School, Boston, MA 02115, USA
| | - Edward W. Boyer
- Brigham and Women’s Hospital, Boston, MA 02115, USA; (G.Z.); (B.M.); (M.L.); (M.A.H.); (G.J.); (E.W.B.)
- Harvard Medical School, Boston, MA 02115, USA
| | - Pardis C. Sabeti
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA; (P.C.S.); (G.A.)
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; (D.H.B.); (B.J.)
- Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Dan H. Barouch
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; (D.H.B.); (B.J.)
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA
| | - Boris Julg
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; (D.H.B.); (B.J.)
| | - Adam J. Kucharski
- London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK;
| | - Elon R. Musk
- Space Exploration Technologies Corp., Hawthorne, CA 90250, USA; (M.J.G.); (S.B.); (J.R.); (E.P.); (Y.H.); (E.R.M.); (A.S.M.)
| | - Douglas A. Lauffenburger
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA;
| | - Galit Alter
- Massachusetts Consortium on Pathogen Readiness, Boston, MA 02115, USA; (P.C.S.); (G.A.)
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; (D.H.B.); (B.J.)
| | - Anil S. Menon
- Space Exploration Technologies Corp., Hawthorne, CA 90250, USA; (M.J.G.); (S.B.); (J.R.); (E.P.); (Y.H.); (E.R.M.); (A.S.M.)
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35
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Melgoza-González EA, Hinojosa-Trujillo D, Reséndiz-Sandoval M, Mata-Haro V, Hernández-Valenzuela S, García-Vega M, Bravo-Parra M, Arvizu-Flores AA, Valenzuela O, Velázquez E, Soto-Gaxiola A, Gómez-Meza MB, Pérez-Jacobo F, Villela L, Hernández J. Analysis of IgG, IgA and IgM antibodies against SARS-CoV-2 spike protein S1 in convalescent and vaccinated patients with the Pfizer-BioNTech and CanSinoBio vaccines. Transbound Emerg Dis 2021; 69:e734-e745. [PMID: 34655457 PMCID: PMC8662108 DOI: 10.1111/tbed.14344] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 10/05/2021] [Indexed: 12/15/2022]
Abstract
The SARS‐CoV‐2 virus was detected for the first time in December 2019 in Wuhan, China. Currently, this virus has spread around the world, and new variants have emerged. This new pandemic virus provoked the rapid development of diagnostic tools, therapies and vaccines to control this new disease called COVID‐19. Antibody detection by ELISA has been broadly used to recognize the number of persons infected with this virus or to evaluate the response of vaccinated individuals. As the pandemic spread, new questions arose, such as the prevalence of antibodies after natural infection and the response induced by the different vaccines. In Mexico, as in other countries, mRNA and viral‐vectored vaccines have been widely used among the population. In this work, we developed an indirect ELISA test to evaluate S1 antibodies in convalescent and vaccinated individuals. By using this test, we showed that IgG antibodies against the S1 protein of SARS‐CoV‐2 were detected up to 42 weeks after the onset of the symptoms, in contrast to IgA and IgM, which decreased 14 weeks after the onset of symptoms. The evaluation of the antibody response in individuals vaccinated with Pfizer‐BioNTech and CanSinoBio vaccines showed no differences 2 weeks after vaccination. However, after completing the two doses of Pfizer‐BioNTech and the one dose of CanSinoBio, a significantly higher response of IgG antibodies was observed in persons vaccinated with Pfizer‐BioNTech than in those vaccinated with CanSinoBio. In conclusion, these results confirm that after natural infection with SARS‐CoV‐2, it is possible to detect antibodies for up to 10 months. Additionally, our results showed that one dose of the CanSinoBio vaccine induces a lower response of IgG antibodies than that induced by the complete scheme of the Pfizer‐BioNTech vaccine.
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Affiliation(s)
- Edgar A Melgoza-González
- Laboratorio de Inmunología, Centro de Investigación en Alimentación y Desarrollo, A.C, Hermosillo, Mexico
| | - Diana Hinojosa-Trujillo
- Laboratorio de Inmunología, Centro de Investigación en Alimentación y Desarrollo, A.C, Hermosillo, Mexico
| | - Mónica Reséndiz-Sandoval
- Laboratorio de Inmunología, Centro de Investigación en Alimentación y Desarrollo, A.C, Hermosillo, Mexico
| | - Verónica Mata-Haro
- Laboratorio de Microbiología e Inmunología, Centro de Investigación en Alimentación y Desarrollo, A.C, Hermosillo, Mexico
| | - Sofía Hernández-Valenzuela
- Laboratorio de Inmunología, Centro de Investigación en Alimentación y Desarrollo, A.C, Hermosillo, Mexico
| | - Melissa García-Vega
- Laboratorio de Inmunología, Centro de Investigación en Alimentación y Desarrollo, A.C, Hermosillo, Mexico
| | - Marlene Bravo-Parra
- Laboratorio de Microbiología e Inmunología, Centro de Investigación en Alimentación y Desarrollo, A.C, Hermosillo, Mexico
| | - Aldo A Arvizu-Flores
- Departamento de Ciencias Químico Biológicas, División de Ciencias de la Salud, Universidad de Sonora, Hermosillo, Mexico
| | - Olivia Valenzuela
- Departamento de Ciencias Químico Biológicas, División de Ciencias de la Salud, Universidad de Sonora, Hermosillo, Mexico
| | - Edgar Velázquez
- Centro Estatal de la Transfusión Sanguínea, Secretaria de Salud del Estado de Sonora, Hermosillo, Mexico
| | - Alan Soto-Gaxiola
- Hospital General del Estado de Sonora "Dr. Ernesto Ramos Bours", Secretaria de Salud del Estado de Sonora, Hermosillo, Mexico
| | - Martha B Gómez-Meza
- Departamento de Hematología y Banco de Sangre, Ciudad de México, Hospital Central Norte Pemex, Mexico
| | | | - Luis Villela
- Universidad del Valle de México, Campus Hermosillo, Hermosillo, Mexico.,Hospital Fernando Ocaranza, ISSSTE-Hermosillo, Hermosillo, Sonora, Mexico
| | - Jesús Hernández
- Laboratorio de Inmunología, Centro de Investigación en Alimentación y Desarrollo, A.C, Hermosillo, Mexico
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Xi H, Jiang H, Juhas M, Zhang Y. Multiplex Biosensing for Simultaneous Detection of Mutations in SARS-CoV-2. ACS OMEGA 2021; 6:25846-25859. [PMID: 34632242 PMCID: PMC8491437 DOI: 10.1021/acsomega.1c04024] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 09/10/2021] [Indexed: 05/02/2023]
Abstract
COVID-19 pandemic caused by the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) has become the world's largest public health emergency of the past few decades. Thousands of mutations were identified in the SARS-CoV-2 genome. Some mutants are more infectious and may replace the original strains. Recently, B.1.1.7(Alpha), B1.351(Beta), and B.1.617.2(Delta) strains, which appear to have increased transmissibility, were detected. These strains accounting for the high proportion of newly diagnosed cases spread rapidly over the world. Particularly, the Delta variant has been reported to account for a vast majority of the infections in several countries over the last few weeks. The application of biosensors in the detection of SARS-CoV-2 is important for the control of the COVID-19 pandemic. Due to high demand for SARS-CoV-2 genotyping, it is urgent to develop reliable and efficient systems based on integrated multiple biosensor technology for rapid detection of multiple SARS-CoV-2 mutations simultaneously. This is important not only for the detection and analysis of the current but also for future mutations. Novel biosensors combined with other technologies can be used for the reliable and effective detection of SARS-CoV-2 mutants.
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Affiliation(s)
- Hui Xi
- College
of Science, Harbin Institute of Technology
(Shenzhen), Shenzhen, Guangdong 518055, China
| | - Hanlin Jiang
- College
of Science, Harbin Institute of Technology
(Shenzhen), Shenzhen, Guangdong 518055, China
| | - Mario Juhas
- Medical
and Molecular Microbiology Unit, Department of Medicine, Faculty of
Science and Medicine, University of Fribourg, Fribourg CH-1700, Switzerland
| | - Yang Zhang
- College
of Science, Harbin Institute of Technology
(Shenzhen), Shenzhen, Guangdong 518055, China
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37
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Peng YC, Cheng CH, Yatsuda H, Liu SH, Liu SJ, Kogai T, Kuo CY, Wang RYL. A Novel Rapid Test to Detect Anti-SARS-CoV-2 N Protein IgG Based on Shear Horizontal Surface Acoustic Wave (SH-SAW). Diagnostics (Basel) 2021; 11:diagnostics11101838. [PMID: 34679536 PMCID: PMC8534600 DOI: 10.3390/diagnostics11101838] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 09/28/2021] [Accepted: 10/01/2021] [Indexed: 01/23/2023] Open
Abstract
Since the Coronavirus disease 2019 (COVID-19) pandemic outbreak, many methods have been used to detect antigens or antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), including viral culture, nucleic acid test, and immunoassay. The shear-horizontal surface acoustic wave (SH-SAW) biosensor is a novel pathogen detection platform with the advantages of high sensitivity and short detection time. The objective of this study is to develop a SH-SAW biosensor to detect the anti-SARS-CoV-2 nucleocapsid antibody. The rabbit sera collected from rabbits on different days after SARS-CoV-2 N protein injection were evaluated by SH-SAW biosensor and enzyme-linked immunosorbent assay (ELISA). The results showed that the SH-SAW biosensor achieved a high correlation coefficient (R = 0.9997) with different concentrations (34.375–1100 ng/mL) of the “spike-in” anti-N protein antibodies. Compared to ELISA, the SH-SAW biosensor has better sensitivity and can detect anti-N protein IgG signals earlier than ELISA on day 6 (p < 0.05). Overall, in this study, we demonstrated that the SH-SAW biosensor is a promising platform for rapid in vitro diagnostic (IVD) testing, especially for antigen or antibody testing.
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Affiliation(s)
- Yu-Chi Peng
- Biotechnology Industry Master and PhD Program, Chang Gung University, Taoyuan 33302, Taiwan;
| | - Chia-Hsuan Cheng
- Tst Biomedical Electronics Co., Ltd., Taoyuan 324, Taiwan; (C.-H.C.); (H.Y.); (S.-H.L.); (T.K.)
| | - Hiromi Yatsuda
- Tst Biomedical Electronics Co., Ltd., Taoyuan 324, Taiwan; (C.-H.C.); (H.Y.); (S.-H.L.); (T.K.)
| | - Szu-Heng Liu
- Tst Biomedical Electronics Co., Ltd., Taoyuan 324, Taiwan; (C.-H.C.); (H.Y.); (S.-H.L.); (T.K.)
| | - Shih-Jen Liu
- National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli 35053, Taiwan;
| | - Takashi Kogai
- Tst Biomedical Electronics Co., Ltd., Taoyuan 324, Taiwan; (C.-H.C.); (H.Y.); (S.-H.L.); (T.K.)
- Japan Radio Co., Ltd., Saitama 356-8510, Japan
| | - Chen-Yen Kuo
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Chang Gung Memorial and Children’s Hospital, Linkou 33305, Taiwan;
| | - Robert Y. L. Wang
- Biotechnology Industry Master and PhD Program, Chang Gung University, Taoyuan 33302, Taiwan;
- Division of Pediatric Infectious Diseases, Department of Pediatrics, Chang Gung Memorial and Children’s Hospital, Linkou 33305, Taiwan;
- Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
- Correspondence: ; Tel.: +886-3-2118800 (ext. 3691)
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Larsen SE, Berube BJ, Pecor T, Cross E, Brown BP, Williams BD, Johnson E, Qu P, Carter L, Wrenn S, Kepl E, Sydeman C, King NP, Baldwin SL, Coler RN. Qualification of ELISA and neutralization methodologies to measure SARS-CoV-2 humoral immunity using human clinical samples. J Immunol Methods 2021; 499:113160. [PMID: 34599915 PMCID: PMC8481082 DOI: 10.1016/j.jim.2021.113160] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 09/20/2021] [Accepted: 09/24/2021] [Indexed: 12/15/2022]
Abstract
In response to the SARS-CoV-2 pandemic many vaccines have been developed and evaluated in human clinical trials. The humoral immune response magnitude, composition and efficacy of neutralizing SARS-CoV-2 are essential endpoints for these trials. Robust assays that are reproducibly precise, linear, and specific for SARS-CoV-2 antigens would be beneficial for the vaccine pipeline. In this work we describe the methodologies and clinical qualification of three SARS-CoV-2 endpoint assays. We developed and qualified Endpoint titer ELISAs for total IgG, IgG1, IgG3, IgG4, IgM and IgA to evaluate the magnitude of specific responses to the trimeric spike (S) antigen and total IgG specific to the spike receptor binding domain (RBD) of SARS-CoV-2. We also qualified a pseudovirus neutralization assay which evaluates functional antibody titers capable of inhibiting the entry and replication of a lentivirus containing the Spike antigen of SARS-CoV-2. To complete the suite of assays we qualified a plaque reduction neutralization test (PRNT) methodology using the 2019-nCoV/USA-WA1/2020 isolate of SARS-CoV-2 to assess neutralizing titers of antibodies in plasma from normal healthy donors and convalescent COVID-19 individuals. Precision, Linearity, and Specificity are essential for Clinical Assay Qualification. Vaccine or Infection-induced humoral response magnitude can be evaluated by high-throughput ELISAs. Neutralization of SARS-CoV-2 is the gold-standard for in vitro vaccine efficacy evaluations. ELISA, pseudovirus neutralization and PRNT assays are Clinically Qualified for SARS-CoV-2 vaccine trials. Positive WHO control sample of 250 ABU equals 4.7 EPT for total IgG against SARS-CoV-2 trimeric spike antigen in ELISAs.
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Affiliation(s)
- Sasha E Larsen
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA, United States of America
| | - Bryan J Berube
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA, United States of America; HDT BioCorp., Seattle, WA, United States of America
| | - Tiffany Pecor
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA, United States of America
| | - Evan Cross
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA, United States of America
| | - Bryan P Brown
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA, United States of America
| | - Brittany D Williams
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA, United States of America; Department of Global Health, University of Washington, Seattle, WA, United States of America
| | - Emma Johnson
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA, United States of America
| | - Pingping Qu
- Seattle Children's Research Institute, Biostatistics Epidemiology and Analytics in Research, Seattle, WA, United States of America
| | - Lauren Carter
- Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, WA 98195, United States of America
| | - Samuel Wrenn
- Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, WA 98195, United States of America
| | - Elizabeth Kepl
- Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, WA 98195, United States of America
| | - Claire Sydeman
- Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, WA 98195, United States of America
| | - Neil P King
- Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, WA 98195, United States of America
| | - Susan L Baldwin
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA, United States of America
| | - Rhea N Coler
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA, United States of America; Department of Global Health, University of Washington, Seattle, WA, United States of America; Department of Pediatrics, University of Washington School of Medicine, Seattle, WA, United States of America.
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Role of Laboratory Medicine in SARS-CoV-2 Diagnostics. Lessons Learned from a Pandemic. Healthcare (Basel) 2021; 9:healthcare9070915. [PMID: 34356292 PMCID: PMC8303636 DOI: 10.3390/healthcare9070915] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/09/2021] [Accepted: 07/12/2021] [Indexed: 12/21/2022] Open
Abstract
Since the 2019 novel coronavirus outbreak began in Wuhan, China, diagnostic methods in the field of molecular biology have been developing faster than ever under the vigilant eye of world's research community. Unfortunately, the medical community was not prepared for testing such large volumes or ranges of biological materials, whether blood samples for antibody immunological testing, or salivary/swab samples for real-time PCR. For this reason, many medical diagnostic laboratories have made the switch to working in the field of molecular biology, and research undertaken to speed up the flow of samples through laboratory. The aim of this narrative review is to evaluate the current literature on laboratory techniques for the diagnosis of SARS-CoV-2 infection available on pubmed.gov, Google Scholar, and according to the writers' knowledge and experience of the laboratory medicine. It assesses the available information in the field of molecular biology by comparing real-time PCR, LAMP technique, RNA sequencing, and immunological diagnostics, and examines the newest techniques along with their limitations for use in SARS-CoV-2 diagnostics.
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40
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Larsen SE, Berube BJ, Pecor T, Cross E, Brown BP, Williams B, Johnson E, Qu P, Carter L, Wrenn S, Kepl E, Sydeman C, King NP, Baldwin SL, Coler RN. Qualification of ELISA and neutralization methodologies to measure SARS-CoV-2 humoral immunity using human clinical samples. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021. [PMID: 34230930 PMCID: PMC8259906 DOI: 10.1101/2021.07.02.450915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
In response to the SARS-CoV-2 pandemic many vaccines have been developed and evaluated in human clinical trials. The humoral immune response magnitude, composition and efficacy of neutralizing SARS-CoV-2 are essential endpoints for these trials. Robust assays that are reproducibly precise, linear, and specific for SARS-CoV-2 antigens would be beneficial for the vaccine pipeline. In this work we describe the methodologies and clinical qualification of three SARS-CoV-2 endpoint assays. We developed and qualified Endpoint titer ELISAs for total IgG, IgG1, IgG3, IgG4, IgM and IgA to evaluate the magnitude of specific responses to the trimeric spike (S) antigen and total IgG specific to the spike receptor binding domain (RBD) of SARS-CoV-2. We also qualified a pseudovirus neutralization assay which evaluates functional antibody titers capable of inhibiting the entry and replication of a lentivirus containing the Spike antigen of SARS-CoV-2. To complete the suite of assays we qualified a plaque reduction neutralization test (PRNT) methodology using the 2019-nCoV/USA-WA1/2020 isolate of SARS-CoV-2 to assess neutralizing titers of antibodies in plasma from normal healthy donors and convalescent COVID-19 individuals.
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Affiliation(s)
- Sasha E Larsen
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA
| | - Bryan J Berube
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA.,HDT BioCorp., Seattle, WA
| | - Tiffany Pecor
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA
| | - Evan Cross
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA
| | - Bryan P Brown
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA
| | - Brittany Williams
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA.,Department of Global Health, University of Washington, Seattle, WA
| | - Emma Johnson
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA
| | - Pingping Qu
- Seattle Children's Research Institute, Biostatistics Epidemiology and Analytics in Research, Seattle, WA
| | - Lauren Carter
- Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Samuel Wrenn
- Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Elizabeth Kepl
- Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Claire Sydeman
- Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Neil P King
- Department of Biochemistry and Institute for Protein Design, University of Washington, Seattle, WA 98195, USA
| | - Susan L Baldwin
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA
| | - Rhea N Coler
- Seattle Children's Research Institute, Center for Global Infectious Disease Research, Seattle, WA.,Department of Global Health, University of Washington, Seattle, WA.,Department of Pediatrics, University of Washington School of Medicine, Seattle, WA
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Nilles EJ, Karlson EW, Norman M, Gilboa T, Fischinger S, Atyeo C, Zhou G, Bennett CL, Tolan NV, Oganezova K, Walt DR, Alter G, Simmons DP, Schur P, Jarolim P, Woolley AE, Baden LR. Evaluation of Three Commercial and Two Non-Commercial Immunoassays for the Detection of Prior Infection to SARS-CoV-2. J Appl Lab Med 2021; 6:1561-1570. [PMID: 34196711 PMCID: PMC8420636 DOI: 10.1093/jalm/jfab072] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 06/15/2021] [Indexed: 01/05/2023]
Abstract
BACKGROUND Serological testing provides a record of prior infection with SARS-CoV-2, but assay performance requires independent assessment. METHODS We evaluated 3 commercial (Roche Diagnostics pan-IG, and Epitope Diagnostics IgM and IgG) and 2 non-commercial (Simoa and Ragon/MGH IgG) immunoassays against 1083 unique samples that included 251 PCR-positive and 832 prepandemic samples. RESULTS The Roche assay registered the highest specificity 99.6% (3/832 false positives), the Ragon/MGH assay 99.5% (4/832), the primary Simoa assay model 99.0% (8/832), and the Epitope IgG and IgM 99.0% (8/830) and 99.5% (4/830), respectively. Overall sensitivities for the Simoa, Roche pan-IG, Epitope IgG, Ragon/MGH IgG, and Epitope IgM were 92.0%, 82.9%, 82.5%, 64.5% and 47.0%, respectively. The Simoa immunoassay demonstrated the highest sensitivity among samples stratified by days postsymptom onset (PSO), <8 days PSO (57.69%) 8-14 days PSO (93.51%), 15-21 days PSO (100%), and > 21 days PSO (95.18%). CONCLUSIONS All assays demonstrated high to very high specificities while sensitivities were variable across assays.
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Affiliation(s)
- Eric J Nilles
- Brigham and Women’s Hospital, Boston, MA,Harvard Medical School, Boston, MA
| | - Elizabeth W Karlson
- Brigham and Women’s Hospital, Boston, MA,Harvard Medical School, Boston, MA,Address correspondence to this author at: Brigham and Women’s Hospital, 75 Francis St., Boston, MA 02115, USA. Fax 508-785-0351; e-mail
| | - Maia Norman
- Brigham and Women’s Hospital, Boston, MA,Harvard Medical School, Boston, MA,Tufts University School of Medicine, Boston, MA,Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - Tal Gilboa
- Brigham and Women’s Hospital, Boston, MA,Harvard Medical School, Boston, MA,Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | | | | | - Guohai Zhou
- Brigham and Women’s Hospital, Boston, MA,Harvard Medical School, Boston, MA
| | - Christopher L Bennett
- Brigham and Women’s Hospital, Boston, MA,Harvard Medical School, Boston, MA,Massachusetts General Hospital, Boston, MA
| | - Nicole V Tolan
- Brigham and Women’s Hospital, Boston, MA,Harvard Medical School, Boston, MA
| | | | - David R Walt
- Brigham and Women’s Hospital, Boston, MA,Harvard Medical School, Boston, MA,Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA
| | - Galit Alter
- Harvard Medical School, Boston, MA,Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA,Harvard T.H. Chan School of Public Health, Boston, MA
| | - Daimon P Simmons
- Brigham and Women’s Hospital, Boston, MA,Harvard Medical School, Boston, MA
| | - Peter Schur
- Brigham and Women’s Hospital, Boston, MA,Harvard Medical School, Boston, MA
| | - Petr Jarolim
- Brigham and Women’s Hospital, Boston, MA,Harvard Medical School, Boston, MA
| | - Ann E Woolley
- Brigham and Women’s Hospital, Boston, MA,Harvard Medical School, Boston, MA
| | - Lindsey R Baden
- Brigham and Women’s Hospital, Boston, MA,Harvard Medical School, Boston, MA
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Citywide serosurveillance of the initial SARS-CoV-2 outbreak in San Francisco using electronic health records. Nat Commun 2021; 12:3566. [PMID: 34117227 PMCID: PMC8195995 DOI: 10.1038/s41467-021-23651-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 04/29/2021] [Indexed: 01/30/2023] Open
Abstract
Serosurveillance provides a unique opportunity to quantify the proportion of the population that has been exposed to pathogens. Here, we developed and piloted Serosurveillance for Continuous, ActionabLe Epidemiologic Intelligence of Transmission (SCALE-IT), a platform through which we systematically tested remnant samples from routine blood draws in two major hospital networks in San Francisco for SARS-CoV-2 antibodies during the early months of the pandemic. Importantly, SCALE-IT allows for algorithmic sample selection and rich data on covariates by leveraging electronic health record data. We estimated overall seroprevalence at 4.2%, corresponding to a case ascertainment rate of only 4.9%, and identified important heterogeneities by neighborhood, homelessness status, and race/ethnicity. Neighborhood seroprevalence estimates from SCALE-IT were comparable to local community-based surveys, while providing results encompassing the entire city that have been previously unavailable. Leveraging this hybrid serosurveillance approach has strong potential for application beyond this local context and for diseases other than SARS-CoV-2.
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Scheid JF, Barnes CO, Eraslan B, Hudak A, Keeffe JR, Cosimi LA, Brown EM, Muecksch F, Weisblum Y, Zhang S, Delorey T, Woolley AE, Ghantous F, Park SM, Phillips D, Tusi B, Huey-Tubman KE, Cohen AA, Gnanapragasam PNP, Rzasa K, Hatziioanno T, Durney MA, Gu X, Tada T, Landau NR, West AP, Rozenblatt-Rosen O, Seaman MS, Baden LR, Graham DB, Deguine J, Bieniasz PD, Regev A, Hung D, Bjorkman PJ, Xavier RJ. B cell genomics behind cross-neutralization of SARS-CoV-2 variants and SARS-CoV. Cell 2021; 184:3205-3221.e24. [PMID: 34015271 PMCID: PMC8064835 DOI: 10.1016/j.cell.2021.04.032] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 02/26/2021] [Accepted: 04/19/2021] [Indexed: 02/07/2023]
Abstract
Monoclonal antibodies (mAbs) are a focus in vaccine and therapeutic design to counteract severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants. Here, we combined B cell sorting with single-cell VDJ and RNA sequencing (RNA-seq) and mAb structures to characterize B cell responses against SARS-CoV-2. We show that the SARS-CoV-2-specific B cell repertoire consists of transcriptionally distinct B cell populations with cells producing potently neutralizing antibodies (nAbs) localized in two clusters that resemble memory and activated B cells. Cryo-electron microscopy structures of selected nAbs from these two clusters complexed with SARS-CoV-2 spike trimers show recognition of various receptor-binding domain (RBD) epitopes. One of these mAbs, BG10-19, locks the spike trimer in a closed conformation to potently neutralize SARS-CoV-2, the recently arising mutants B.1.1.7 and B.1.351, and SARS-CoV and cross-reacts with heterologous RBDs. Together, our results characterize transcriptional differences among SARS-CoV-2-specific B cells and uncover cross-neutralizing Ab targets that will inform immunogen and therapeutic design against coronaviruses.
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MESH Headings
- Antibodies, Monoclonal/chemistry
- Antibodies, Monoclonal/immunology
- Antibodies, Neutralizing/blood
- Antibodies, Neutralizing/chemistry
- Antibodies, Neutralizing/immunology
- Antibodies, Viral/blood
- Antibodies, Viral/chemistry
- Antibodies, Viral/immunology
- Antigen-Antibody Complex/chemistry
- Antigen-Antibody Complex/metabolism
- Antigen-Antibody Reactions
- B-Lymphocytes/cytology
- B-Lymphocytes/metabolism
- B-Lymphocytes/virology
- COVID-19/pathology
- COVID-19/virology
- Cryoelectron Microscopy
- Crystallography, X-Ray
- Gene Expression Profiling
- Humans
- Immunoglobulin A/immunology
- Immunoglobulin Variable Region/chemistry
- Immunoglobulin Variable Region/genetics
- Protein Domains/immunology
- Protein Multimerization
- Protein Structure, Quaternary
- SARS-CoV-2/immunology
- SARS-CoV-2/isolation & purification
- SARS-CoV-2/metabolism
- Sequence Analysis, RNA
- Spike Glycoprotein, Coronavirus/chemistry
- Spike Glycoprotein, Coronavirus/genetics
- Spike Glycoprotein, Coronavirus/immunology
- Spike Glycoprotein, Coronavirus/metabolism
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Affiliation(s)
- Johannes F Scheid
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Christopher O Barnes
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Basak Eraslan
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Andrew Hudak
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Jennifer R Keeffe
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Lisa A Cosimi
- Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Eric M Brown
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Frauke Muecksch
- Laboratory of Molecular Virology, The Rockefeller University, New York, NY 10065, USA
| | - Yiska Weisblum
- Laboratory of Molecular Virology, The Rockefeller University, New York, NY 10065, USA
| | - Shuting Zhang
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Toni Delorey
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ann E Woolley
- Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Fadi Ghantous
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA
| | - Sung-Moo Park
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Devan Phillips
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Betsabeh Tusi
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Kathryn E Huey-Tubman
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Alexander A Cohen
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | | | - Kara Rzasa
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Theodora Hatziioanno
- Laboratory of Molecular Virology, The Rockefeller University, New York, NY 10065, USA
| | - Michael A Durney
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Xiebin Gu
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Takuya Tada
- Department of Microbiology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Nathaniel R Landau
- Department of Microbiology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Anthony P West
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Orit Rozenblatt-Rosen
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Michael S Seaman
- Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, USA
| | - Lindsey R Baden
- Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Daniel B Graham
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Jacques Deguine
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA
| | - Paul D Bieniasz
- Laboratory of Molecular Virology, The Rockefeller University, New York, NY 10065, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Deborah Hung
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Pamela J Bjorkman
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
| | - Ramnik J Xavier
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA 02142, USA; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Molecular Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA.
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Nishiyama K, Takahashi K, Fukuyama M, Kasuya M, Imai A, Usukura T, Maishi N, Maeki M, Ishida A, Tani H, Hida K, Shigemura K, Hibara A, Tokeshi M. Facile and rapid detection of SARS-CoV-2 antibody based on a noncompetitive fluorescence polarization immunoassay in human serum samples. Biosens Bioelectron 2021; 190:113414. [PMID: 34130087 PMCID: PMC8178067 DOI: 10.1016/j.bios.2021.113414] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 05/27/2021] [Accepted: 06/03/2021] [Indexed: 01/14/2023]
Abstract
Antibody detection methods for viral infections have received broad attention due to the COVID-19 pandemic. In addition, there remains an ever-increasing need to quantitatively evaluate the immune response to develop vaccines and treatments for COVID-19. Here, we report an analytical method for the rapid and quantitative detection of SARS-CoV-2 antibody in human serum by fluorescence polarization immunoassay (FPIA). A recombinant SARS-CoV-2 receptor binding domain (RBD) protein labeled with HiLyte Fluor 647 (F-RBD) was prepared and used for FPIA. When the anti-RBD antibody in human serum binds to F-RBD, the degree of polarization (P) increases by suppressing the rotational diffusion of F-RBD. The measurement procedure required only mixing a reagent containing F-RBD with serum sample and measuring the P value with a portable fluorescence polarization analyzer after 15 min incubation. We evaluated analytical performance of the developed FPIA system using 30 samples: 20 COVID-19 positive sera and 10 negative sera. The receiver operating characteristic curve drawn with the obtained results showed that this FPIA system had high accuracy for discriminating COVID-19 positive or negative serum (AUC = 0.965). The total measurement time was about 20 min, and the serum volume required for measurement was 0.25 μL. Therefore, we successfully developed the FPIA system that enables rapid and easy quantification of SARS-CoV-2 antibody. It is believed that our FPIA system will facilitate rapid on-site identification of infected persons and deepen understanding of the immune response to COVID-19.
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Affiliation(s)
- Keine Nishiyama
- Graduate School of Chemical Sciences and Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo, 060-8628, Japan
| | - Kazuki Takahashi
- Graduate School of Chemical Sciences and Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo, 060-8628, Japan
| | - Mao Fukuyama
- Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai, 980-8577, Japan
| | - Motohiro Kasuya
- Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai, 980-8577, Japan
| | - Ayuko Imai
- Tianma Japan, Ltd., Shin-Kawasaki Mitsui Building West Tower 28F 1-1-2, Kashimada, Saiwai-ku, Kawasaki, Kanagawa, 212-0058, Japan
| | - Takumi Usukura
- Tianma Japan, Ltd., Shin-Kawasaki Mitsui Building West Tower 28F 1-1-2, Kashimada, Saiwai-ku, Kawasaki, Kanagawa, 212-0058, Japan
| | - Nako Maishi
- Vascular Biology and Molecular Pathology, Graduate School of Dental Medicine, Hokkaido University, Kita 13 Nishi 7, Kita-ku, Sapporo, 060-8586, Japan
| | - Masatoshi Maeki
- Division of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo, 060-8628, Japan
| | - Akihiko Ishida
- Division of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo, 060-8628, Japan
| | - Hirofumi Tani
- Division of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo, 060-8628, Japan
| | - Kyoko Hida
- Vascular Biology and Molecular Pathology, Graduate School of Dental Medicine, Hokkaido University, Kita 13 Nishi 7, Kita-ku, Sapporo, 060-8586, Japan
| | - Koji Shigemura
- Tianma Japan, Ltd., Shin-Kawasaki Mitsui Building West Tower 28F 1-1-2, Kashimada, Saiwai-ku, Kawasaki, Kanagawa, 212-0058, Japan
| | - Akihide Hibara
- Institute of Multidisciplinary Research for Advanced Materials, Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai, 980-8577, Japan
| | - Manabu Tokeshi
- Division of Applied Chemistry, Faculty of Engineering, Hokkaido University, Kita 13 Nishi 8, Kita-ku, Sapporo, 060-8628, Japan; Innovative Research Centre for Preventive Medical Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan; Institute of Innovation for Future Society, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan.
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45
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Reiners N, Schnurra C, Trawinski H, Kannenberg J, Hermsdorf T, Aebischer A, Schöneberg T, Reiche S, Jassoy C. Performance of a SARS CoV-2 antibody ELISA based on simultaneous measurement of antibodies against the viral nucleoprotein and receptor-binding domain. Eur J Clin Microbiol Infect Dis 2021; 40:2645-2649. [PMID: 34085159 PMCID: PMC8175097 DOI: 10.1007/s10096-021-04284-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 05/27/2021] [Indexed: 12/22/2022]
Abstract
SARS CoV-2 antibody assays measure antibodies against the viral nucleoprotein (NP) or spike protein. The study examined if testing of antibodies against both antigens increases the diagnostic sensitivity. Sera (N=98) from infected individuals were tested with ELISAs based on the NP, receptor-binding domain (RBD), or both proteins. The AUROCs were 0.958 (NP), 0.991 (RBD), and 0.992 (NP/RBD). The RBD- and NP/RBD-based ELISAs showed better performance than the NP-based assay. Simultaneous testing for antibodies against NP and RBD increased the number of true and false positives. If maximum diagnostic sensitivity is required, the NP/RBD-based ELISA is preferable. Otherwise, the RBD-based ELISA is sufficient.
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Affiliation(s)
- Nina Reiners
- Institute for Medical Microbiology and Virology, Leipzig University Hospital and Medical Faculty, University of Leipzig, Johannisallee 30, 04103, Leipzig, Germany
| | - Carolin Schnurra
- Institute for Medical Microbiology and Virology, Leipzig University Hospital and Medical Faculty, University of Leipzig, Johannisallee 30, 04103, Leipzig, Germany
| | - Henning Trawinski
- Division of Infectious Diseases and Tropical Medicine, Department of Medicine II, Leipzig University Hospital, Leipzig, Germany
| | - Judith Kannenberg
- Institute for Medical Microbiology and Virology, Leipzig University Hospital and Medical Faculty, University of Leipzig, Johannisallee 30, 04103, Leipzig, Germany
| | - Thomas Hermsdorf
- Rudolf Schönheimer Institute of Biochemistry, Medical Faculty, University of Leipzig, 04103, Leipzig, Germany
| | - Andrea Aebischer
- Department of Experimental Animal Facilities and Biorisk Management, Friedrich Loeffler Institute, Federal Research Institute for Animal Health, Greifswald, Insel Riems, Germany
| | - Torsten Schöneberg
- Rudolf Schönheimer Institute of Biochemistry, Medical Faculty, University of Leipzig, 04103, Leipzig, Germany
| | - Sven Reiche
- Department of Experimental Animal Facilities and Biorisk Management, Friedrich Loeffler Institute, Federal Research Institute for Animal Health, Greifswald, Insel Riems, Germany
| | - Christian Jassoy
- Institute for Medical Microbiology and Virology, Leipzig University Hospital and Medical Faculty, University of Leipzig, Johannisallee 30, 04103, Leipzig, Germany.
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46
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Tian X, Liu L, Jiang W, Zhang H, Liu W, Li J. Potent and Persistent Antibody Response in COVID-19 Recovered Patients. Front Immunol 2021; 12:659041. [PMID: 34122416 PMCID: PMC8193946 DOI: 10.3389/fimmu.2021.659041] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 05/10/2021] [Indexed: 12/23/2022] Open
Abstract
SARS-CoV-2 has caused a global pandemic with millions infected and numerous fatalities. Virus-specific antibodies can be detected in infected patients approximately two weeks after symptom onset. In this study, we set up ELISA technology coating with purified SARS-CoV-2 S and N proteins to study the antibody response of 484 serum samples. We established a surrogate viral inhibition assay using SARS-CoV-2 S protein pseudovirus system to determine the neutralization potency of collected serum samples. Here, we report robust antibody responses to SARS-CoV-2 in 484 recovered patients varying from 154 to 193 days, with 92% of recovered patients displaying a positive virus-specific spike glycoprotein IgG (s-IgG) response, while the ratio of positive spike glycoprotein IgM (s-IgM) reached 63%. Furthermore, moderate to potent neutralization activities were also observed in 62% of patients, correlating significantly with s-IgG response. This study strongly supports the long-term presence of antibodies in recovered patients against SARS-CoV-2, although all serum samples were collected from individuals with mild or moderate symptoms.
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Affiliation(s)
- Xiaodong Tian
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- School of Life Sciences, University of Science and Technology of China, Hefei, China
| | - Ling Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- Institutes of Physical Science and Information Technology, Anhui University, Hefei, China
| | - Wenguo Jiang
- Jining Center for Disease Control and Prevention, Shandong, China
| | - He Zhang
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Wenjun Liu
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- School of Life Sciences, University of Science and Technology of China, Hefei, China
- Institutes of Physical Science and Information Technology, Anhui University, Hefei, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
- Institute of Microbiology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Beijing, China
| | - Jing Li
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
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47
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Bayin Q, Huang L, Ren C, Fu Y, Ma X, Guo J. Anti-SARS-CoV-2 IgG and IgM detection with a GMR based LFIA system. Talanta 2021; 227:122207. [PMID: 33714475 PMCID: PMC7874965 DOI: 10.1016/j.talanta.2021.122207] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 02/05/2021] [Accepted: 02/08/2021] [Indexed: 12/16/2022]
Abstract
Since December 2019, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has caused millions of deaths and seriously threatened the safety of human life; indeed, this situation is worsening and many people are infected with the new coronavirus every day. Therefore, it is very important to understand patients' degree of infection and infection history through antibody testing. Such information is useful also for the government and hospitals to formulate reasonable prevention policies and treatment plans. In this paper, we develop a lateral flow immunoassay (LFIA) method based on superparamagnetic nanoparticles (SMNPs) and a giant magnetoresistance (GMR) sensing system for the simultaneously quantitative detection of anti-SARS-CoV-2 immunoglobulin M (IgM) and G (IgG). A simple and time-effective co-precipitation method was utilized to prepare the SMNPs, which have good dispersibility and magnetic property, with an average diameter of 68 nm. The Internet of Medical Things-supported GMR could transmit medical data to a smartphone through the Bluetooth protocol, making patient information available for medical staff. The proposed GMR system, based on SMNP-supported LFIA, has an outstanding advantage in cost-effectiveness and time-efficiency, and is easy to operate. We believe that the suggested GMR based LFIA system will be very useful for medical staff to analyze and to preserve as a record of infection in COVID-19 patients.
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Affiliation(s)
- Qiaoge Bayin
- School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, PR China
| | - Lei Huang
- School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, PR China
| | - Chunhui Ren
- School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, PR China
| | - Yusheng Fu
- School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, PR China
| | - Xing Ma
- State Key Lab of Advanced Welding and Joining, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China,Ministry of Education Key Lab of Micro-systems and Micro-structures Manufacturing, Harbin Institute of Technology, Harbin, 150001, PR China,Corresponding author. State Key Lab of Advanced Welding and Joining, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China
| | - Jinhong Guo
- School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, PR China,Corresponding author
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48
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Ahmed W, Tscharke B, Bertsch PM, Bibby K, Bivins A, Choi P, Clarke L, Dwyer J, Edson J, Nguyen TMH, O'Brien JW, Simpson SL, Sherman P, Thomas KV, Verhagen R, Zaugg J, Mueller JF. SARS-CoV-2 RNA monitoring in wastewater as a potential early warning system for COVID-19 transmission in the community: A temporal case study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 761:144216. [PMID: 33360129 PMCID: PMC7718102 DOI: 10.1016/j.scitotenv.2020.144216] [Citation(s) in RCA: 173] [Impact Index Per Article: 57.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 11/30/2020] [Accepted: 11/30/2020] [Indexed: 05/14/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus which causes coronavirus disease (COVID-19), has spread rapidly across the globe infecting millions of people and causing significant health and economic impacts. Authorities are exploring complimentary approaches to monitor this infectious disease at the community level. Wastewater-based epidemiology (WBE) approaches to detect SARS-CoV-2 RNA in municipal wastewater are being implemented worldwide as an environmental surveillance approach to inform health authority decision-making. Owing to the extended excretion of SARS-CoV-2 RNA in stool, WBE can surveil large populated areas with a longer detection window providing unique information on the presence of pre-symptomatic and asymptomatic cases that are unlikely to be screened by clinical testing. Herein, we analysed SARS-CoV-2 RNA in 24-h composite wastewater samples (n = 63) from three wastewater treatment plants (WWTPs) in Brisbane, Queensland, Australia from 24th of February to 1st of May 2020. A total of 21 samples were positive for SARS-CoV-2, ranging from 135 to 11,992 gene copies (GC)/100 mL of wastewater. Detections were made in a Southern Brisbane WWTP in late February 2020, up to three weeks before the first clininal case was reported there. Wastewater samples were generally positive during the period with highest caseload data. The positive SARS-CoV-2 RNA detection in wastewater while there were limited clinical reported cases demonstrates the potential of WBE as an early warning system to identify hotspots and target localised public health responses, such as increased individual testing and the provision of health warnings.
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Affiliation(s)
- Warish Ahmed
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Qld 4102, Australia.
| | - Ben Tscharke
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Paul M Bertsch
- CSIRO Land and Water, Ecosciences Precinct, 41 Boggo Road, Qld 4102, Australia
| | - Kyle Bibby
- Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA
| | - Aaron Bivins
- Department of Civil & Environmental Engineering & Earth Science, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN 46556, USA
| | - Phil Choi
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Leah Clarke
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Jason Dwyer
- Urban Utilities, 15 Green Square Close, Fortitude Valley, QLD 4006, Australia
| | - Janette Edson
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Thi Minh Hong Nguyen
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Jake W O'Brien
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | | | - Paul Sherman
- Urban Utilities, 15 Green Square Close, Fortitude Valley, QLD 4006, Australia
| | - Kevin V Thomas
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Rory Verhagen
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
| | - Julian Zaugg
- Australian Centre for Ecogenomics, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Jochen F Mueller
- Queensland Alliance for Environmental Health Sciences (QAEHS), The University of Queensland, 20 Cornwall Street, Woolloongabba, QLD 4103, Australia
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49
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Bruno-Murtha LA, Osgood R, Lan FY, Buley J, Nathan N, Weiss M, MacDonald M, Kales SN, Sayah AJ. SARS-CoV-2 antibody seroprevalence after the first wave among workers at a community healthcare system in the Greater Boston area. Pathog Glob Health 2021; 115:331-334. [PMID: 33729103 PMCID: PMC8547825 DOI: 10.1080/20477724.2021.1901041] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
SARS-CoV-2 antibody seroprevalence among health-care workers (HCW) can assess past exposure and possible immunity, which varies across different regions, populations and times. We investigated the seroprevalence among HCW in Massachusetts (a region suffering high COVID-19 mortality) at the end of first wave of the SARS-CoV-2 pandemic. All HCW at Cambridge Health Alliance were invited to participate in this cross-sectional survey in June 2020. Those who volunteered, consented and provided a blood sample were included. Dried blood specimens from finger-prick sampling collected either at home by each HCW or onsite by the study team were analyzed for anti-SARS-CoV-2 IgM and IgG to the virus’ receptor binding domain, using an enzyme-linked immunosorbent assay. IgM and IgG antibody abundance were categorized based on the number of standard deviations above the cross-reacting levels found in existing, pre-pandemic blood samples previously obtained by the Ragon Institute and analyzed by the Broad Institute (Cambridge, MA). Seroprevalence estimates were made based on ‘positive’ IgM or IgG using ‘low’ (>6 SD), ‘medium’ (>4.5 SD), and ‘high’ prevalence cutoffs (>3 SD). A total of 433 out of 5,204 eligible HCWs consented and provided samples. Participating HCWs had a lower cumulative incidence (from the start of the pandemic up to the bloodspot collections) of SARS-CoV-2 RT-PCR positivity (1.85%) compared to non-participants (3.29%). The low, medium, and high seroprevalence estimates were 8.1%, 11.3%, and 14.5%, respectively. The weighted estimates based on past PCR positivity were 13.9%, 19.4%, and 24.9%, respectively, for the entire healthcare system population after accounting for participation bias.
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Affiliation(s)
- Lou Ann Bruno-Murtha
- Department of Medicine and Quality, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA
| | - Rebecca Osgood
- Department of Pathology, Cambridge Health Alliance Harvard Medical School, Cambridge, MA, USA
| | - Fan-Yun Lan
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, MA, USA.,Department of Occupational and Environmental Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.,Occupational Medicine, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA
| | - Jane Buley
- Occupational Medicine, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA
| | - Neetha Nathan
- Occupational Medicine, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA
| | - Michelle Weiss
- Information Technology, Cambridge Health Alliance, Cambridge, MA, USA
| | - Mary MacDonald
- Information Technology, Cambridge Health Alliance, Cambridge, MA, USA
| | - Stefanos N Kales
- Department of Environmental Health, Harvard University T.H. Chan School of Public Health, Boston, MA, USA.,Occupational Medicine, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA
| | - Assaad J Sayah
- Department of Emergency Medicine, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA, USA.,Cambridge Department of Public Health, Cambridge, MA, USA
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50
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Zhang W, He H, Zhu L, Liu G, Wu L. Food Safety in Post-COVID-19 Pandemic: Challenges and Countermeasures. BIOSENSORS 2021; 11:71. [PMID: 33806704 PMCID: PMC8000942 DOI: 10.3390/bios11030071] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 02/25/2021] [Accepted: 03/02/2021] [Indexed: 12/16/2022]
Abstract
Understanding food safety hazard risks is essential to avoid potential negative heath impacts in the food supply chain in a post-COVID-19 pandemic era. Development of strategies for virus direction in foods plays an important role in food safety and verification. Early warning, tracing, and detection should be implemented as an integrated system in order to mitigate thecoronavirus disease 2019 (COVID-19) outbreak, in which the detection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is critical as it not only concerns screening of populations but also monitoring of possible contaminated sources such as the food supply chain. In this review, we point out the consequences in different aspects of our daily life in the post-COVID-19 pandemic from the perspective of the food supply chain and the food industry. We summarize the possible transmission routes of COVID-19 in the food supply chain before exploring the development of corresponding detection tools of SARS-CoV-2. Accordingly, we compare different detection methods for the virus in foods, including different pretreatments of food matrices in the virus detection. Finally, the future perspectives are proposed.
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Affiliation(s)
- Weimin Zhang
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, College of Food Science and Engineering, Hainan University, Haikou 570228, China;
| | - Huiyu He
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (H.H.); (L.Z.)
| | - Lin Zhu
- College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (H.H.); (L.Z.)
| | - Guozhen Liu
- School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen 518172, China;
| | - Long Wu
- Key Laboratory of Food Nutrition and Functional Food of Hainan Province, College of Food Science and Engineering, Hainan University, Haikou 570228, China;
- Key Laboratory of Fermentation Engineering (Ministry of Education), National “111” Center for Cellular Regulation and Molecular Pharmaceutics, College of Bioengineering and Food, Hubei University of Technology, Wuhan 430068, China
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