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Priddey A, Chen-Xu MXH, Cooper DJ, MacMillan S, Meisl G, Xu CK, Hosmillo M, Goodfellow IG, Kollyfas R, Doffinger R, Bradley JR, Mohorianu II, Jones R, Knowles TPJ, Smith R, Kosmoliaptsis V. Microfluidic antibody profiling after repeated SARS-CoV-2 vaccination links antibody affinity and concentration to impaired immunity and variant escape in patients on anti-CD20 therapy. Front Immunol 2024; 14:1296148. [PMID: 38259440 PMCID: PMC10800570 DOI: 10.3389/fimmu.2023.1296148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 12/06/2023] [Indexed: 01/24/2024] Open
Abstract
Background Patients with autoimmune/inflammatory conditions on anti-CD20 therapies, such as rituximab, have suboptimal humoral responses to vaccination and are vulnerable to poorer clinical outcomes following SARS-CoV-2 infection. We aimed to examine how the fundamental parameters of antibody responses, namely, affinity and concentration, shape the quality of humoral immunity after vaccination in these patients. Methods We performed in-depth antibody characterisation in sera collected 4 to 6 weeks after each of three vaccine doses to wild-type (WT) SARS-CoV-2 in rituximab-treated primary vasculitis patients (n = 14) using Luminex and pseudovirus neutralisation assays, whereas we used a novel microfluidic-based immunoassay to quantify polyclonal antibody affinity and concentration against both WT and Omicron (B.1.1.529) variants. We performed comparative antibody profiling at equivalent timepoints in healthy individuals after three antigenic exposures to WT SARS-CoV-2 (one infection and two vaccinations; n = 15) and in convalescent patients after WT SARS-CoV-2 infection (n = 30). Results Rituximab-treated patients had lower antibody levels and neutralisation titres against both WT and Omicron SARS-CoV-2 variants compared to healthy individuals. Neutralisation capacity was weaker against Omicron versus WT both in rituximab-treated patients and in healthy individuals. In the rituximab cohort, this was driven by lower antibody affinity against Omicron versus WT [median (range) KD: 21.6 (9.7-38.8) nM vs. 4.6 (2.3-44.8) nM, p = 0.0004]. By contrast, healthy individuals with hybrid immunity produced a broader antibody response, a subset of which recognised Omicron with higher affinity than antibodies in rituximab-treated patients [median (range) KD: 1.05 (0.45-1.84) nM vs. 20.25 (13.2-38.8) nM, p = 0.0002], underpinning the stronger serum neutralisation capacity against Omicron in the former group. Rituximab-treated patients had similar anti-WT antibody levels and neutralisation titres to unvaccinated convalescent individuals, despite two more exposures to SARS-CoV-2 antigen. Temporal profiling of the antibody response showed evidence of affinity maturation in healthy convalescent patients after a single SARS-CoV-2 infection, which was not observed in rituximab-treated patients, despite repeated vaccination. Discussion Our results enrich previous observations of impaired humoral immune responses to SARS-CoV-2 in rituximab-treated patients and highlight the significance of quantitative assessment of serum antibody affinity and concentration in monitoring anti-viral immunity, viral escape, and the evolution of the humoral response.
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Affiliation(s)
- Ashley Priddey
- Department of Surgery, University of Cambridge, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | - Michael Xin Hua Chen-Xu
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Daniel James Cooper
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Serena MacMillan
- Department of Surgery, University of Cambridge, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | - Georg Meisl
- Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
| | - Catherine K. Xu
- Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
| | - Myra Hosmillo
- Department of Pathology, Division of Virology, University of Cambridge, Cambridge, United Kingdom
| | - Ian G. Goodfellow
- Department of Pathology, Division of Virology, University of Cambridge, Cambridge, United Kingdom
| | - Rafael Kollyfas
- Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, United Kingdom
| | - Rainer Doffinger
- Department of Clinical Biochemistry and Immunology, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | - John R. Bradley
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Irina I. Mohorianu
- Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, United Kingdom
| | - Rachel Jones
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Tuomas P. J. Knowles
- Department of Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
- Cavendish Laboratory, Department of Physics, University of Cambridge, Cambridge, United Kingdom
| | - Rona Smith
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
- Department of Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Vasilis Kosmoliaptsis
- Department of Surgery, University of Cambridge, Addenbrooke’s Hospital, Cambridge, United Kingdom
- NIHR Blood and Transplant Research Unit in Organ Donation and Transplantation at the University of Cambridge and the NIHR Cambridge Biomedical Research Centre, Cambridge, United Kingdom
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2
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Kumar S, Wulf J, Basore K, Pozzi N. Structural analyses of β 2-glycoprotein I: is there a circular conformation? J Thromb Haemost 2023; 21:3511-3521. [PMID: 37536570 PMCID: PMC10834832 DOI: 10.1016/j.jtha.2023.07.016] [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: 05/22/2023] [Revised: 07/10/2023] [Accepted: 07/17/2023] [Indexed: 08/05/2023]
Abstract
BACKGROUND Antiphospholipid antibodies targeting β2-glycoprotein I (β2GPI) cause thrombosis and pregnancy morbidity in antiphospholipid syndrome (APS) patients. How these antibodies recognize β2GPI remains controversial. OBJECTIVES This study aimed to elucidate the structure of β2GPI and evaluate how pathogenic anti-domain I (DI) antibodies recognize it in human plasma. METHODS β2GPI was made recombinant and purified from human plasma using different protocols. Structural and functional analyses were conducted using orthogonal techniques, namely, electron microscopy, size-exclusion chromatography, single-molecule Förster resonance energy transfer, and microfluidic diffusional sizing. RESULTS Electron microscopy and size-exclusion chromatography showed that the structure of β2GPI produced recombinantly and purified from plasma is elongated, even when subjected to conditions previously reported to favor circularization. Single-molecule Förster resonance energy transfer analyses of β2GPI labeled at positions 88 in DII and 278 in DV showed that these residues are located >90 Å apart, consistent with an elongated form. They also documented that the distance between these 2 residues did not change when the protein was reconstituted in human plasma. Microfluidic diffusional sizing documented that β2GPI binds with moderate affinity to a prototypical anti-DI antibody targeting the epitope G40-R43 despite being elongated. CONCLUSION Circulating β2GPI is elongated and, therefore, fully capable of binding to anti-DI antibodies. Binding of β2GPI to negatively charged phospholipids drives autoantibody recognition by increasing the local concentration of the antigen and not by dramatically changing its conformation. These findings clarify the structural properties of β2GPI, which have important implications for understanding APS pathogenesis and the development of APS diagnostics and therapeutics.
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Affiliation(s)
- Suresh Kumar
- Edward A. Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St Louis, Missouri, USA
| | - John Wulf
- Washington University Center for Cellular Imaging, Washington University School of Medicine, St Louis, Missouri, USA
| | - Katherine Basore
- Washington University Center for Cellular Imaging, Washington University School of Medicine, St Louis, Missouri, USA
| | - Nicola Pozzi
- Edward A. Doisy Department of Biochemistry and Molecular Biology, Saint Louis University School of Medicine, St Louis, Missouri, USA.
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3
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Rebelo M, Tang C, Coelho AR, Labão-Almeida C, Schneider MM, Tatalick L, Ruivo P, de Miranda MP, Gomes A, Carvalho T, Walker MJ, Ausserwoeger H, Pedro Simas J, Veldhoen M, Knowles TPJ, Silva DA, Shoultz D, Bernardes GJL. De Novo Human Angiotensin-Converting Enzyme 2 Decoy NL-CVX1 Protects Mice From Severe Disease After Severe Acute Respiratory Syndrome Coronavirus 2 Infection. J Infect Dis 2023; 228:723-733. [PMID: 37279654 PMCID: PMC10503951 DOI: 10.1093/infdis/jiad135] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 05/27/2023] [Indexed: 06/08/2023] Open
Abstract
The emergence of novel variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) underscores the need to investigate alternative approaches to prevent infection and treat patients with coronavirus disease 2019. Here, we report the preclinical efficacy of NL-CVX1, a de novo decoy that blocks virus entry into cells by binding with nanomolar affinity and high specificity to the receptor-binding domain of the SARS-CoV-2 spike protein. Using a transgenic mouse model of SARS-CoV-2 infection, we showed that a single prophylactic intranasal dose of NL-CVX1 conferred complete protection from severe disease following SARS-CoV-2 infection. Multiple therapeutic administrations of NL-CVX1 also protected mice from succumbing to infection. Finally, we showed that infected mice treated with NL-CVX1 developed both anti-SARS-CoV-2 antibodies and memory T cells and were protected against reinfection a month after treatment. Overall, these observations suggest NL-CVX1 is a promising therapeutic candidate for preventing and treating severe SARS-CoV-2 infections.
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Affiliation(s)
- Maria Rebelo
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Cong Tang
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Ana R Coelho
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Carlos Labão-Almeida
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Matthias M Schneider
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
| | | | - Pedro Ruivo
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Marta Pires de Miranda
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Andreia Gomes
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Tânia Carvalho
- Histopathology Unit, Champalimaud Research, Lisboa, Portugal
| | | | - Hannes Ausserwoeger
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
| | - J Pedro Simas
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Católica Biomedical Research and Católica Medical School, Universidade Católica Portuguesa, Lisboa, Portugal
| | - Marc Veldhoen
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Tuomas P J Knowles
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
| | | | | | - Gonçalo J L Bernardes
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
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4
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Watkin SAJ, Bennie RZ, Gilkes JM, Nock VM, Pearce FG, Dobson RCJ. On the utility of microfluidic systems to study protein interactions: advantages, challenges, and applications. EUROPEAN BIOPHYSICS JOURNAL : EBJ 2023; 52:459-471. [PMID: 36583735 PMCID: PMC9801160 DOI: 10.1007/s00249-022-01626-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 12/15/2022] [Accepted: 12/20/2022] [Indexed: 12/31/2022]
Abstract
Within the complex milieu of a cell, which comprises a large number of different biomolecules, interactions are critical for function. In this post-reductionist era of biochemical research, the 'holy grail' for studying biomolecular interactions is to be able to characterize them in native environments. While there are a limited number of in situ experimental techniques currently available, there is a continuing need to develop new methods for the analysis of biomolecular complexes that can cope with the additional complexities introduced by native-like solutions. We think approaches that use microfluidics allow researchers to access native-like environments for studying biological problems. This review begins with a brief overview of the importance of studying biomolecular interactions and currently available methods for doing so. Basic principles of diffusion and microfluidics are introduced and this is followed by a review of previous studies that have used microfluidics to measure molecular diffusion and a discussion of the advantages and challenges of this technique.
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Affiliation(s)
- Serena A J Watkin
- Biomolecular Interaction Centre, University of Canterbury, Christchurch, New Zealand
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Rachel Z Bennie
- Biomolecular Interaction Centre, University of Canterbury, Christchurch, New Zealand
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand
| | - Jenna M Gilkes
- Protein Science and Engineering Team, Callaghan Innovation, Christchurch, New Zealand
| | - Volker M Nock
- Biomolecular Interaction Centre, University of Canterbury, Christchurch, New Zealand.
- Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand.
- The MacDiarmid Institute for Advanced Materials and Nanotechnology, Wellington, New Zealand.
| | - F Grant Pearce
- Biomolecular Interaction Centre, University of Canterbury, Christchurch, New Zealand.
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
| | - Renwick C J Dobson
- Biomolecular Interaction Centre, University of Canterbury, Christchurch, New Zealand.
- School of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
- The MacDiarmid Institute for Advanced Materials and Nanotechnology, Wellington, New Zealand.
- Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Melbourne, VIC, Australia.
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5
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Lopez-Morales J, Vanella R, Utzinger T, Schittny V, Hirsiger J, Osthoff M, Berger CT, Guri Y, Nash MA. Multiplexed on-yeast serological assay for immune escape screening of SARS-CoV-2 variants. iScience 2023; 26:106648. [PMID: 37124419 PMCID: PMC10089669 DOI: 10.1016/j.isci.2023.106648] [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: 10/20/2022] [Revised: 03/31/2023] [Accepted: 04/06/2023] [Indexed: 05/02/2023] Open
Abstract
The emergence of the SARS-CoV-2 Omicron variant altered patient risk profiles and shifted the trajectory of the COVID-19 pandemic. Therefore, sensitive serological tests capable of analyzing patient IgG responses to multiple variants in parallel are highly desirable. Here, we present an adaptable serological test based on yeast surface display and serum biopanning that characterizes immune profiles against SARS-CoV-2 Wuhan (B lineage), Delta (B.1.617.2 lineage), and Omicron (B.1.1.529 lineage) receptor-binding domain (RBD) variants. We examined IgG titers from 30 serum samples from COVID-19-convalescent and vaccinated cohorts in Switzerland, and assessed the relative affinity of polyclonal serum IgG for RBD domains. We demonstrate that serum IgGs from patients recovered from severe COVID-19 between March-June 2021 bound tightly to both original Wuhan and Delta RBD variants, but failed to recognize Omicron RBDs, representing an affinity loss of >10- to 20-fold. Our yeast immunoassay is easily tailored, expandable and parallelized with newly emerging RBD variants.
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Affiliation(s)
- Joanan Lopez-Morales
- Institute of Physical Chemistry, Department of Chemistry, University of Basel, Basel 4058, Switzerland
- Swiss Nanoscience Institute, University of Basel, 4056 Basel, Switzerland
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
- Botnar Research Centre for Child Health (BRCCH), 4051 Basel, Switzerland
| | - Rosario Vanella
- Institute of Physical Chemistry, Department of Chemistry, University of Basel, Basel 4058, Switzerland
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
- Botnar Research Centre for Child Health (BRCCH), 4051 Basel, Switzerland
- National Center for Research Competence (NCCR) Molecular Systems Engineering, 4058 Basel, Switzerland
| | - Tamara Utzinger
- Institute of Physical Chemistry, Department of Chemistry, University of Basel, Basel 4058, Switzerland
- Swiss Nanoscience Institute, University of Basel, 4056 Basel, Switzerland
| | - Valentin Schittny
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
| | - Julia Hirsiger
- Department of Biomedicine, University of Basel, 4056 Basel, Switzerland
| | - Michael Osthoff
- Botnar Research Centre for Child Health (BRCCH), 4051 Basel, Switzerland
- Department of Internal Medicine, University Hospital Basel, 4056 Basel, Switzerland
| | - Christoph T Berger
- Botnar Research Centre for Child Health (BRCCH), 4051 Basel, Switzerland
- Department of Biomedicine, University of Basel, 4056 Basel, Switzerland
- University Center for Immunology, University Hospital Basel, Basel 4056, Switzerland
| | - Yakir Guri
- Botnar Research Centre for Child Health (BRCCH), 4051 Basel, Switzerland
- Department of Internal Medicine, University Hospital Basel, 4056 Basel, Switzerland
| | - Michael A Nash
- Institute of Physical Chemistry, Department of Chemistry, University of Basel, Basel 4058, Switzerland
- Swiss Nanoscience Institute, University of Basel, 4056 Basel, Switzerland
- Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland
- Botnar Research Centre for Child Health (BRCCH), 4051 Basel, Switzerland
- National Center for Research Competence (NCCR) Molecular Systems Engineering, 4058 Basel, Switzerland
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6
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Hug MN, Keller S, Marty T, Gygax D, Meinel D, Spies P, Handschin J, Kleiser M, Vazquez N, Linnik J, Buchli R, Claas F, Heidt S, Kramer CSM, Bezstarosti S, Lee JH, Schaub S, Hönger G. HLA antibody affinity determination: From HLA-specific monoclonal antibodies to donor HLA specific antibodies (DSA) in patient serum. HLA 2023. [PMID: 37191252 DOI: 10.1111/tan.15047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 03/08/2023] [Accepted: 03/20/2023] [Indexed: 05/17/2023]
Abstract
Organs transplanted across donor-specific HLA antibodies (DSA) are associated with a variety of clinical outcomes, including a high risk of acute kidney graft rejection. Unfortunately, the currently available assays to determine DSA characteristics are insufficient to clearly discriminate between potentially harmless and harmful DSA. To further explore the hazard potential of DSA, their concentration and binding strength to their natural target, using soluble HLA, may be informative. There are currently a number of biophysical technologies available that allow the assessment of antibody binding strength. However, these methods require prior knowledge of antibody concentrations. Our objective within this study was to develop a novel approach that combines the determination of DSA-affinity as well as DSA-concentration for patient sample evaluation within one assay. We initially tested the reproducibility of previously reported affinities of human HLA-specific monoclonal antibodies and assessed the technology-specific precision of the obtained results on multiple platforms, including surface plasmon resonance (SPR), bio-layer interferometry (BLI), Luminex (single antigen beads; SAB), and flow-induced dispersion analysis (FIDA). While the first three (solid-phase) technologies revealed comparable high binding-strengths, suggesting measurement of avidity, the latter (in-solution) approach revealed slightly lower binding-strengths, presumably indicating measurement of affinity. We believe that our newly developed in-solution FIDA-assay is particularly suitable to provide useful clinical information by not just measuring DSA-affinities in patient serum samples but simultaneously delivering a particular DSA-concentration. Here, we investigated DSA from 20 pre-transplant patients, all of whom showed negative CDC-crossmatch results with donor cells and SAB signals ranging between 571 and 14899 mean fluorescence intensity (MFI). DSA-concentrations were found in the range between 11.2 and 1223 nM (median 81.1 nM), and their measured affinities fall between 0.055 and 24.7 nM (median 5.34 nM; 449-fold difference). In 13 of 20 sera (65%), DSA accounted for more than 0.1% of total serum antibodies, and 4/20 sera (20%) revealed a proportion of DSA even higher than 1%. To conclude, this study strengthens the presumption that pre-transplant patient DSA consists of various concentrations and different net affinities. Validation of these results in a larger patient cohort with clinical outcomes will be essential in a further step to assess the clinical relevance of DSA-concentration and DSA-affinity.
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Affiliation(s)
- Melanie N Hug
- University of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences Muttenz, Muttenz, Switzerland
| | - Sabrina Keller
- University of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences Muttenz, Muttenz, Switzerland
| | - Talea Marty
- University of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences Muttenz, Muttenz, Switzerland
| | - Daniel Gygax
- University of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences Muttenz, Muttenz, Switzerland
| | - Dominik Meinel
- University of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences Muttenz, Muttenz, Switzerland
| | - Peter Spies
- University of Applied Sciences and Arts Northwestern Switzerland, School of Life Sciences Muttenz, Muttenz, Switzerland
| | - Joëlle Handschin
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Marc Kleiser
- Department of Laboratory Medicine, University Hospital Basel, Basel, Switzerland
| | - Noemi Vazquez
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Janina Linnik
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
- Swiss Institute for Bioinformatics, Basel, Switzerland
| | - Rico Buchli
- Department of Research and Development, PureProtein LLC, Oklahoma City, Oklahoma, USA
| | - Frans Claas
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Sebastiaan Heidt
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Cynthia S M Kramer
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Suzanne Bezstarosti
- Department of Immunology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jar-How Lee
- Research Department, Terasaki Innovation Center (TIC), Glendale, California, USA
| | - Stefan Schaub
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Department of Laboratory Medicine, University Hospital Basel, Basel, Switzerland
- Clinic for Transplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland
| | - Gideon Hönger
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Department of Laboratory Medicine, University Hospital Basel, Basel, Switzerland
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7
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Emmenegger M, Worth R, Fiedler S, Devenish SRA, Knowles TPJ, Aguzzi A. Protocol to determine antibody affinity and concentration in complex solutions using microfluidic antibody affinity profiling. STAR Protoc 2023; 4:102095. [PMID: 36853663 PMCID: PMC9925161 DOI: 10.1016/j.xpro.2023.102095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/24/2022] [Accepted: 01/18/2023] [Indexed: 02/17/2023] Open
Abstract
Conventional methods of measuring affinity are limited by artificial immobilization, large sample volumes, and homogeneous solutions. This protocol describes microfluidic antibody affinity profiling on complex human samples in solution to obtain a fingerprint reflecting both affinity and active concentration of the target protein. To illustrate the protocol, we analyze the antibody response in SARS-CoV-2 omicron-naïve samples against different SARS-CoV-2 variants of concern. However, the protocol and the technology are amenable to a broad spectrum of biomedical questions. For complete details on the use and execution of this protocol, please refer to Emmenegger et al. (2022),1 Schneider et al. (2022),2 and Fiedler et al. (2022).3.
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Affiliation(s)
- Marc Emmenegger
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland.
| | - Roland Worth
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, UK
| | - Sebastian Fiedler
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, UK
| | - Sean R A Devenish
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, UK
| | - Tuomas P J Knowles
- Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK; Cavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK
| | - Adriano Aguzzi
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland.
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8
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Emmenegger M, De Cecco E, Lamparter D, Jacquat RP, Riou J, Menges D, Ballouz T, Ebner D, Schneider MM, Morales IC, Doğançay B, Guo J, Wiedmer A, Domange J, Imeri M, Moos R, Zografou C, Batkitar L, Madrigal L, Schneider D, Trevisan C, Gonzalez-Guerra A, Carrella A, Dubach IL, Xu CK, Meisl G, Kosmoliaptsis V, Malinauskas T, Burgess-Brown N, Owens R, Hatch S, Mongkolsapaya J, Screaton GR, Schubert K, Huck JD, Liu F, Pojer F, Lau K, Hacker D, Probst-Müller E, Cervia C, Nilsson J, Boyman O, Saleh L, Spanaus K, von Eckardstein A, Schaer DJ, Ban N, Tsai CJ, Marino J, Schertler GF, Ebert N, Thiel V, Gottschalk J, Frey BM, Reimann RR, Hornemann S, Ring AM, Knowles TP, Puhan MA, Althaus CL, Xenarios I, Stuart DI, Aguzzi A. Continuous population-level monitoring of SARS-CoV-2 seroprevalence in a large European metropolitan region. iScience 2023; 26:105928. [PMID: 36619367 PMCID: PMC9811913 DOI: 10.1016/j.isci.2023.105928] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 12/18/2022] [Accepted: 01/03/2023] [Indexed: 01/06/2023] Open
Abstract
Effective public health measures against SARS-CoV-2 require granular knowledge of population-level immune responses. We developed a Tripartite Automated Blood Immunoassay (TRABI) to assess the IgG response against three SARS-CoV-2 proteins. We used TRABI for continuous seromonitoring of hospital patients and blood donors (n = 72'250) in the canton of Zurich from December 2019 to December 2020 (pre-vaccine period). We found that antibodies waned with a half-life of 75 days, whereas the cumulative incidence rose from 2.3% in June 2020 to 12.2% in mid-December 2020. A follow-up health survey indicated that about 10% of patients infected with wildtype SARS-CoV-2 sustained some symptoms at least twelve months post COVID-19. Crucially, we found no evidence of a difference in long-term complications between those whose infection was symptomatic and those with asymptomatic acute infection. The cohort of asymptomatic SARS-CoV-2-infected subjects represents a resource for the study of chronic and possibly unexpected sequelae.
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Affiliation(s)
- Marc Emmenegger
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Elena De Cecco
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - David Lamparter
- Health2030 Genome Center, 9 Chemin des Mines, 1202 Geneva, Switzerland
| | - Raphaël P.B. Jacquat
- Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK
- Cavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK
| | - Julien Riou
- Institute of Social and Preventive Medicine, University of Bern, 3012 Bern, Switzerland
| | - Dominik Menges
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zürich, Switzerland
| | - Tala Ballouz
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zürich, Switzerland
| | - Daniel Ebner
- Target Discovery Institute, University of Oxford, Oxford OX3 7FZ, England
| | - Matthias M. Schneider
- Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK
| | | | - Berre Doğançay
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Jingjing Guo
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Anne Wiedmer
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Julie Domange
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Marigona Imeri
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Rita Moos
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Chryssa Zografou
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Leyla Batkitar
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Lidia Madrigal
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Dezirae Schneider
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Chiara Trevisan
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | | | | | - Irina L. Dubach
- Division of Internal Medicine, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Catherine K. Xu
- Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK
| | - Georg Meisl
- Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK
| | - Vasilis Kosmoliaptsis
- Department of Surgery, Addenbrooke’s Hospital, University of Cambridge, Hills Road, Cambridge CB2 0QQ, UK
- NIHR Blood and Transplant Research Unit in Organ Donation and Transplantation, University of Cambridge, Hills Road, Cambridge CB2 0QQ, UK
| | - Tomas Malinauskas
- Division of Structural Biology, The Wellcome Centre for Human Genetics, University of Oxford, Headington, Oxford OX3 7BN, UK
| | | | - Ray Owens
- Division of Structural Biology, The Wellcome Centre for Human Genetics, University of Oxford, Headington, Oxford OX3 7BN, UK
- The Rosalind Franklin Institute, Harwell Campus, Oxford OX11 0FA, UK
| | - Stephanie Hatch
- Target Discovery Institute, University of Oxford, Oxford OX3 7FZ, England
| | - Juthathip Mongkolsapaya
- Nuffield Department of Medicine, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Gavin R. Screaton
- Nuffield Department of Medicine, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Katharina Schubert
- Department of Biology, Institute of Molecular Biology and Biophysics, ETH Zurich, Zurich, Switzerland
| | - John D. Huck
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Feimei Liu
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Florence Pojer
- Protein Production and Structure Core Facility, EPFL SV PTECH PTPSP, 1015 Lausanne, Switzerland
| | - Kelvin Lau
- Protein Production and Structure Core Facility, EPFL SV PTECH PTPSP, 1015 Lausanne, Switzerland
| | - David Hacker
- Protein Production and Structure Core Facility, EPFL SV PTECH PTPSP, 1015 Lausanne, Switzerland
| | | | - Carlo Cervia
- Department of Immunology, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Jakob Nilsson
- Department of Immunology, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Onur Boyman
- Department of Immunology, University Hospital Zurich, 8091 Zurich, Switzerland
- Faculty of Medicine, University of Zurich, 8006 Zurich, Switzerland
| | - Lanja Saleh
- Institute of Clinical Chemistry, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Katharina Spanaus
- Institute of Clinical Chemistry, University Hospital Zurich, 8091 Zurich, Switzerland
| | | | - Dominik J. Schaer
- Division of Internal Medicine, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Nenad Ban
- Department of Biology, Institute of Molecular Biology and Biophysics, ETH Zurich, Zurich, Switzerland
| | - Ching-Ju Tsai
- Department of Biology and Chemistry, Laboratory of Biomolecular Research, Paul Scherrer Institute, 5303 Villigen-PSI, Switzerland
| | - Jacopo Marino
- Department of Biology and Chemistry, Laboratory of Biomolecular Research, Paul Scherrer Institute, 5303 Villigen-PSI, Switzerland
| | - Gebhard F.X. Schertler
- Department of Biology and Chemistry, Laboratory of Biomolecular Research, Paul Scherrer Institute, 5303 Villigen-PSI, Switzerland
- Department of Biology, ETH Zürich, 8093 Zürich, Switzerland
| | - Nadine Ebert
- Institute of Virology and Immunology, 3012 Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, 3012 Bern, Switzerland
| | - Volker Thiel
- Institute of Virology and Immunology, 3012 Bern, Switzerland
- Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, 3012 Bern, Switzerland
| | - Jochen Gottschalk
- Regional Blood Transfusion Service Zurich, Swiss Red Cross, 8952 Schlieren, Switzerland
| | - Beat M. Frey
- Regional Blood Transfusion Service Zurich, Swiss Red Cross, 8952 Schlieren, Switzerland
| | - Regina R. Reimann
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Simone Hornemann
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Aaron M. Ring
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Tuomas P.J. Knowles
- Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK
- Cavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Avenue, Cambridge CB3 0HE, UK
| | - Milo A. Puhan
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zürich, Switzerland
| | - Christian L. Althaus
- Institute of Social and Preventive Medicine, University of Bern, 3012 Bern, Switzerland
| | - Ioannis Xenarios
- Health2030 Genome Center, 9 Chemin des Mines, 1202 Geneva, Switzerland
- Agora Center, University of Lausanne, 25 Avenue du Bugnon, 1005 Lausanne, Switzerland
| | - David I. Stuart
- Division of Structural Biology, The Wellcome Centre for Human Genetics, University of Oxford, Headington, Oxford OX3 7BN, UK
| | - Adriano Aguzzi
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
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9
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Baron J, Bauernhofer L, Devenish SRA, Fiedler S, Ilsley A, Riedl S, Zweytick D, Glueck D, Pessentheiner A, Durand G, Keller S. FULL-MDS: Fluorescent Universal Lipid Labeling for Microfluidic Diffusional Sizing. Anal Chem 2022; 95:587-593. [PMID: 36574263 PMCID: PMC9850350 DOI: 10.1021/acs.analchem.2c03168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Microfluidic diffusional sizing (MDS) is a recent and powerful method for determining the hydrodynamic sizes and interactions of biomolecules and nanoparticles. A major benefit of MDS is that it can report the size of a fluorescently labeled target even in mixtures with complex, unpurified samples. However, a limitation of MDS is that the target itself has to be purified and covalently labeled with a fluorescent dye. Such covalent labeling is not suitable for crude extracts such as native nanodiscs directly obtained from cellular membranes. In this study, we introduce fluorescent universal lipid labeling for MDS (FULL-MDS) as a sparse, noncovalent labeling method for determining particle size. We first demonstrate that the inexpensive and well-characterized fluorophore, Nile blue, spontaneously partitions into lipid nanoparticles without disrupting their structure. We then highlight the key advantage of FULL-MDS by showing that it yields robust size information on lipid nanoparticles in crude cell extracts that are not amenable to other sizing methods. Furthermore, even for synthetic nanodiscs, FULL-MDS is faster, cheaper, and simpler than existing labeling schemes.
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Affiliation(s)
- Jasmin Baron
- Biophysics,
Institute of Molecular Biosciences (IMB), NAWI Graz, University of Graz, Humboldtstr. 50/III, Graz 8010, Austria,Field
of Excellence BioHealth, University of Graz, Graz 8010, Austria,BioTechMed-Graz, Graz 8010, Austria
| | - Lena Bauernhofer
- Biophysics,
Institute of Molecular Biosciences (IMB), NAWI Graz, University of Graz, Humboldtstr. 50/III, Graz 8010, Austria,Field
of Excellence BioHealth, University of Graz, Graz 8010, Austria,BioTechMed-Graz, Graz 8010, Austria
| | - Sean R. A. Devenish
- The
Paddocks Business Centre, Fluidic Analytics
Ltd., Unit A, Cherry Hinton Road, Cambridge CB1 8DH, United Kingdom
| | - Sebastian Fiedler
- The
Paddocks Business Centre, Fluidic Analytics
Ltd., Unit A, Cherry Hinton Road, Cambridge CB1 8DH, United Kingdom
| | - Alison Ilsley
- The
Paddocks Business Centre, Fluidic Analytics
Ltd., Unit A, Cherry Hinton Road, Cambridge CB1 8DH, United Kingdom
| | - Sabrina Riedl
- Biophysics,
Institute of Molecular Biosciences (IMB), NAWI Graz, University of Graz, Humboldtstr. 50/III, Graz 8010, Austria,Field
of Excellence BioHealth, University of Graz, Graz 8010, Austria,BioTechMed-Graz, Graz 8010, Austria
| | - Dagmar Zweytick
- Biophysics,
Institute of Molecular Biosciences (IMB), NAWI Graz, University of Graz, Humboldtstr. 50/III, Graz 8010, Austria,Field
of Excellence BioHealth, University of Graz, Graz 8010, Austria,BioTechMed-Graz, Graz 8010, Austria
| | - David Glueck
- Biophysics,
Institute of Molecular Biosciences (IMB), NAWI Graz, University of Graz, Humboldtstr. 50/III, Graz 8010, Austria,Field
of Excellence BioHealth, University of Graz, Graz 8010, Austria,BioTechMed-Graz, Graz 8010, Austria
| | - Ariane Pessentheiner
- Biophysics,
Institute of Molecular Biosciences (IMB), NAWI Graz, University of Graz, Humboldtstr. 50/III, Graz 8010, Austria,Field
of Excellence BioHealth, University of Graz, Graz 8010, Austria,BioTechMed-Graz, Graz 8010, Austria
| | - Grégory Durand
- Equipe
Synthèse et Systèmes Colloïdaux Bio-organiques,
Unité Propre de Recherche et d’Innovation, Avignon Université, 301 rue Baruch de Spinoza, Avignon 84916 CEDEX 9, France,CHEM2STAB, 301 rue Baruch de Spinoza, Avignon 84916 CEDEX 9, France
| | - Sandro Keller
- Biophysics,
Institute of Molecular Biosciences (IMB), NAWI Graz, University of Graz, Humboldtstr. 50/III, Graz 8010, Austria,Field
of Excellence BioHealth, University of Graz, Graz 8010, Austria,BioTechMed-Graz, Graz 8010, Austria,
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10
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Fiedler S, Devenish SRA, Morgunov AS, Ilsley A, Ricci F, Emmenegger M, Kosmoliaptsis V, Theel ES, Mills JR, Sholukh AM, Aguzzi A, Iwasaki A, Lynn AK, Knowles TPJ. Serological fingerprints link antiviral activity of therapeutic antibodies to affinity and concentration. Sci Rep 2022; 12:19791. [PMID: 36396691 PMCID: PMC9672333 DOI: 10.1038/s41598-022-22214-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 10/11/2022] [Indexed: 11/18/2022] Open
Abstract
The effectiveness of therapeutic monoclonal antibodies (mAbs) against variants of the SARS-CoV-2 virus is highly variable. As target recognition of mAbs relies on tight binding affinity, we assessed the affinities of five therapeutic mAbs to the receptor binding domain (RBD) of wild type (A), Delta (B.1.617.2), and Omicron BA.1 SARS-CoV-2 (B.1.1.529.1) spike using microfluidic diffusional sizing (MDS). Four therapeutic mAbs showed strongly reduced affinity to Omicron BA.1 RBD, whereas one (sotrovimab) was less impacted. These affinity reductions correlate with reduced antiviral activities suggesting that affinity could serve as a rapid indicator for activity before time-consuming virus neutralization assays are performed. We also compared the same mAbs to serological fingerprints (affinity and concentration) obtained by MDS of antibodies in sera of 65 convalescent individuals. The affinities of the therapeutic mAbs to wild type and Delta RBD were similar to the serum antibody response, indicating high antiviral activities. For Omicron BA.1 RBD, only sotrovimab retained affinities within the range of the serum antibody response, in agreement with high antiviral activity. These results suggest that serological fingerprints provide a route to evaluating affinity and antiviral activity of mAb drugs and could guide the development of new therapeutics.
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Affiliation(s)
- Sebastian Fiedler
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge, CB1 8DH, UK.
| | - Sean R A Devenish
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge, CB1 8DH, UK
| | - Alexey S Morgunov
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge, CB1 8DH, UK
- Yusuf Hamied Department of Chemistry, Centre for Misfolding Diseases, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK
| | - Alison Ilsley
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge, CB1 8DH, UK
| | - Francesco Ricci
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge, CB1 8DH, UK
| | - Marc Emmenegger
- Institute of Neuropathology, University of Zurich, 8091, Zurich, Switzerland
| | - Vasilis Kosmoliaptsis
- Department of Surgery, University of Cambridge, Addenbrookes Hospital, Cambridge, CB2 0QQ, UK
- NIHR Blood and Transplant Research Unit in Organ Donation and Transplantation, University of Cambridge, Hills Road, Cambridge, CB2 0QQ, UK
- NIHR Cambridge Biomedical Research Centre, Hills Road, Cambridge, CB2 0QQ, UK
| | - Elitza S Theel
- Division of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - John R Mills
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
- Center for MS and Autoimmune Neurology, Mayo Clinic, Rochester, MN, USA
| | - Anton M Sholukh
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Adriano Aguzzi
- Institute of Neuropathology, University of Zurich, 8091, Zurich, Switzerland
| | - Akiko Iwasaki
- Department of Immunobiology, Yale School of Medicine, New Haven, CT, 06519, USA
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, 06510, USA
- Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, 06511, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, 20815, USA
| | - Andrew K Lynn
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge, CB1 8DH, UK
| | - Tuomas P J Knowles
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge, CB1 8DH, UK.
- Yusuf Hamied Department of Chemistry, Centre for Misfolding Diseases, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, UK.
- Cavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Ave, Cambridge, CB3 0HE, UK.
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11
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Madsen A, Mejias-Gomez O, Pedersen LE, Skovgaard K, Kristensen P, Goletz S. Immobilization-Free Binding and Affinity Characterization of Higher Order Bispecific Antibody Complexes Using Size-Based Microfluidics. Anal Chem 2022; 94:13652-13658. [PMID: 36166291 PMCID: PMC9558742 DOI: 10.1021/acs.analchem.2c02705] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 09/21/2022] [Indexed: 11/28/2022]
Abstract
Simultaneous targeting of different antigens by bispecific antibodies (bsAbs) is permitting synergistic binding functionalities with high therapeutic potential, but is also rendering their analysis challenging. We introduce flow-induced dispersion analysis (FIDA) for the in-depth characterization of bsAbs with diverse molecular architectures and valencies under near-native conditions without potentially obstructive surface immobilization. Individual equilibrium dissociation constants are determined in solution, even in higher-order complexes with both antigens involved, hereby allowing the analysis of binding cooperativity and elucidation of a potential interference between the interactions. We further illustrate bispecific binding functionality as incremental increases in complex sizes when the bsAbs are exposed to one or two antigens. The possibility for comprehensive binding analysis with low material consumption and high matrix tolerability irrespective of molecular format and with little optimization renders FIDA a versatile tool for format selection and characterization of complex bi/multispecific protein therapeutics throughout the drug development and biomanufacturing pipeline.
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Affiliation(s)
- Andreas
V. Madsen
- Department
of Biotechnology and Biomedicine, Technical
University of Denmark, Søltofts Plads, Building 224, 2800 Kgs. Lyngby, Denmark
| | - Oscar Mejias-Gomez
- Department
of Biotechnology and Biomedicine, Technical
University of Denmark, Søltofts Plads, Building 224, 2800 Kgs. Lyngby, Denmark
| | - Lasse E. Pedersen
- Department
of Biotechnology and Biomedicine, Technical
University of Denmark, Søltofts Plads, Building 224, 2800 Kgs. Lyngby, Denmark
| | - Kerstin Skovgaard
- Department
of Biotechnology and Biomedicine, Technical
University of Denmark, Søltofts Plads, Building 224, 2800 Kgs. Lyngby, Denmark
| | - Peter Kristensen
- Department
of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7, 9220 Aalborg, Denmark
| | - Steffen Goletz
- Department
of Biotechnology and Biomedicine, Technical
University of Denmark, Søltofts Plads, Building 224, 2800 Kgs. Lyngby, Denmark
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12
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Emmenegger M, Fiedler S, Brugger SD, Devenish SR, Morgunov AS, Ilsley A, Ricci F, Malik AY, Scheier T, Batkitar L, Madrigal L, Rossi M, Meisl G, Lynn AK, Saleh L, von Eckardstein A, Knowles TP, Aguzzi A. Both COVID-19 infection and vaccination induce high-affinity cross-clade responses to SARS-CoV-2 variants. iScience 2022; 25:104766. [PMID: 35875683 PMCID: PMC9288251 DOI: 10.1016/j.isci.2022.104766] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 06/06/2022] [Accepted: 07/08/2022] [Indexed: 11/20/2022] Open
Abstract
The B.1.1.529 (omicron) variant has rapidly supplanted most other SARS-CoV-2 variants. Using microfluidics-based antibody affinity profiling (MAAP), we have characterized affinity and IgG concentration in the plasma of 39 individuals with multiple trajectories of SARS-CoV-2 infection and/or vaccination. Antibody affinity was similar against the wild-type, delta, and omicron variants (K A ranges: 122 ± 155, 159 ± 148, 211 ± 307 μM-1, respectively), indicating a surprisingly broad and mature cross-clade immune response. Postinfectious and vaccinated subjects showed different IgG profiles, with IgG3 (p-value = 0.002) against spike being more prominent in the former group. Lastly, we found that the ELISA titers correlated linearly with measured concentrations (R = 0.72) but not with affinity (R = 0.29). These findings suggest that the wild-type and delta spike induce a polyclonal immune response capable of binding the omicron spike with similar affinity. Changes in titers were primarily driven by antibody concentration, suggesting that B-cell expansion, rather than affinity maturation, dominated the response after infection or vaccination.
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Affiliation(s)
- Marc Emmenegger
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Sebastian Fiedler
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, UK
| | - Silvio D. Brugger
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Sean R.A. Devenish
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, UK
| | - Alexey S. Morgunov
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, UK
- Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK
| | - Alison Ilsley
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, UK
| | - Francesco Ricci
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, UK
| | - Anisa Y. Malik
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, UK
| | - Thomas Scheier
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Leyla Batkitar
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Lidia Madrigal
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Marco Rossi
- Department of Laboratory Medicine, University Hospital Zürich, 8091 Zurich, Switzerland
| | - Georg Meisl
- Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK
| | - Andrew K. Lynn
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, UK
| | - Lanja Saleh
- Department of Laboratory Medicine, University Hospital Zürich, 8091 Zurich, Switzerland
| | | | - Tuomas P.J. Knowles
- Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, UK
- Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK
- Cavendish Laboratory, Department of Physics, University of Cambridge, JJ Thomson Ave, Cambridge CB3 0HE, UK
| | - Adriano Aguzzi
- Institute of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
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13
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Jamiruddin MR, Meghla BA, Islam DZ, Tisha TA, Khandker SS, Khondoker MU, Haq MA, Adnan N, Haque M. Microfluidics Technology in SARS-CoV-2 Diagnosis and Beyond: A Systematic Review. Life (Basel) 2022; 12:649. [PMID: 35629317 PMCID: PMC9146058 DOI: 10.3390/life12050649] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/21/2022] [Accepted: 04/25/2022] [Indexed: 12/22/2022] Open
Abstract
With the progression of the COVID-19 pandemic, new technologies are being implemented for more rapid, scalable, and sensitive diagnostics. The implementation of microfluidic techniques and their amalgamation with different detection techniques has led to innovative diagnostics kits to detect SARS-CoV-2 antibodies, antigens, and nucleic acids. In this review, we explore the different microfluidic-based diagnostics kits and how their amalgamation with the various detection techniques has spearheaded their availability throughout the world. Three other online databases, PubMed, ScienceDirect, and Google Scholar, were referred for articles. One thousand one hundred sixty-four articles were determined with the search algorithm of microfluidics followed by diagnostics and SARS-CoV-2. We found that most of the materials used to produce microfluidics devices were the polymer materials such as PDMS, PMMA, and others. Centrifugal force is the most commonly used fluid manipulation technique, followed by electrochemical pumping, capillary action, and isotachophoresis. The implementation of the detection technique varied. In the case of antibody detection, spectrometer-based detection was most common, followed by fluorescence-based as well as colorimetry-based. In contrast, antigen detection implemented electrochemical-based detection followed by fluorescence-based detection, and spectrometer-based detection were most common. Finally, nucleic acid detection exclusively implements fluorescence-based detection with a few colorimetry-based detections. It has been further observed that the sensitivity and specificity of most devices varied with implementing the detection-based technique alongside the fluid manipulation technique. Most microfluidics devices are simple and incorporate the detection-based system within the device. This simplifies the deployment of such devices in a wide range of environments. They can play a significant role in increasing the rate of infection detection and facilitating better health services.
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Affiliation(s)
| | - Bushra Ayat Meghla
- Department of Microbiology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh; (B.A.M.); (D.Z.I.); (T.A.T.)
| | - Dewan Zubaer Islam
- Department of Microbiology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh; (B.A.M.); (D.Z.I.); (T.A.T.)
| | - Taslima Akter Tisha
- Department of Microbiology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh; (B.A.M.); (D.Z.I.); (T.A.T.)
| | - Shahad Saif Khandker
- Gonoshasthaya-RNA Molecular Diagnostic & Research Center, Dhanmondi, Dhaka 1205, Bangladesh; (S.S.K.); (M.A.H.)
| | - Mohib Ullah Khondoker
- Department of Community Medicine, Gonoshasthaya Samaj Vittik Medical College, Savar, Dhaka 1344, Bangladesh;
| | - Md. Ahsanul Haq
- Gonoshasthaya-RNA Molecular Diagnostic & Research Center, Dhanmondi, Dhaka 1205, Bangladesh; (S.S.K.); (M.A.H.)
| | - Nihad Adnan
- Department of Microbiology, Jahangirnagar University, Savar, Dhaka 1342, Bangladesh; (B.A.M.); (D.Z.I.); (T.A.T.)
| | - Mainul Haque
- The Unit of Pharmacology, Faculty of Medicine and Defence Health, Universiti Pertahanan Nasional Malaysia (National Defence University of Malaysia), Kem Perdana Sugai Besi, Kuala Lumpur 57000, Malaysia
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14
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Denninger V, Xu CK, Meisl G, Morgunov AS, Fiedler S, Ilsley A, Emmenegger M, Malik AY, Piziorska MA, Schneider MM, Devenish SRA, Kosmoliaptsis V, Aguzzi A, Fiegler H, Knowles TPJ. Microfluidic Antibody Affinity Profiling Reveals the Role of Memory Reactivation and Cross-Reactivity in the Defense Against SARS-CoV-2. ACS Infect Dis 2022; 8:790-799. [PMID: 35352558 PMCID: PMC8982494 DOI: 10.1021/acsinfecdis.1c00486] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Indexed: 11/30/2022]
Abstract
Recent efforts in understanding the course and severity of SARS-CoV-2 infections have highlighted both potentially beneficial and detrimental effects of cross-reactive antibodies derived from memory immunity. Specifically, due to a significant degree of sequence similarity between SARS-CoV-2 and other members of the coronavirus family, memory B-cells that emerged from previous infections with endemic human coronaviruses (HCoVs) could be reactivated upon encountering the newly emerged SARS-CoV-2, thus prompting the production of cross-reactive antibodies. Determining the affinity and concentration of these potentially cross-reactive antibodies to the new SARS-CoV-2 antigens is therefore particularly important when assessing both existing immunity against common HCoVs and adverse effects like antibody-dependent enhancement (ADE) in COVID-19. However, these two fundamental parameters cannot easily be disentangled by surface-based assays like enzyme-linked immunosorbent assays (ELISAs), which are routinely used to assess cross-reactivity. Here, we have used microfluidic antibody affinity profiling (MAAP) to quantitatively evaluate the humoral immune response in COVID-19 convalescent patients by determining both antibody affinity and concentration against spike antigens of SARS-CoV-2 directly in nine convalescent COVID-19 patient and three pre-pandemic sera that were seropositive for common HCoVs. All 12 sera contained low concentrations of high-affinity antibodies against spike antigens of HCoV-NL63 and HCoV-HKU1, indicative of past exposure to these pathogens, while the affinity against the SARS-CoV-2 spike protein was lower. These results suggest that cross-reactivity as a consequence of memory reactivation upon an acute SARS-CoV-2 infection may not be a significant factor in generating immunity against SARS-CoV-2.
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Affiliation(s)
- Viola Denninger
- Fluidic
Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, United Kingdom
| | - Catherine K. Xu
- Centre
for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
| | - Georg Meisl
- Centre
for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
| | - Alexey S. Morgunov
- Fluidic
Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, United Kingdom
- Centre
for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
| | - Sebastian Fiedler
- Fluidic
Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, United Kingdom
| | - Alison Ilsley
- Fluidic
Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, United Kingdom
| | - Marc Emmenegger
- Institute
of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Anisa Y. Malik
- Fluidic
Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, United Kingdom
| | - Monika A. Piziorska
- Fluidic
Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, United Kingdom
| | - Matthias M. Schneider
- Centre
for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
| | - Sean R. A. Devenish
- Fluidic
Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, United Kingdom
| | - Vasilis Kosmoliaptsis
- Department
of Surgery, University of Cambridge, Addenbrookes
Hospital, Cambridge CB2 0QQ, United Kingdom
- NIHR
Blood and Transplant Research Unit in Organ Donation and Transplantation, University of Cambridge, Hills Road, Cambridge CB2 0QQ, United Kingdom
- NIHR
Cambridge
Biomedical Research Centre, Hills Road, Cambridge CB2 0QQ, United Kingdom
| | - Adriano Aguzzi
- Institute
of Neuropathology, University of Zurich, 8091 Zurich, Switzerland
| | - Heike Fiegler
- Fluidic
Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, United Kingdom
| | - Tuomas P. J. Knowles
- Fluidic
Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Road, Cambridge CB1 8DH, United Kingdom
- Centre
for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom
- Cavendish
Laboratory, Department of Physics, University
of Cambridge, JJ Thomson
Ave, Cambridge CB3 0HE, United Kingdom
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15
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Flores-Contreras EA, González-González RB, Rodríguez-Sánchez IP, Yee-de León JF, Iqbal HMN, González-González E. Microfluidics-Based Biosensing Platforms: Emerging Frontiers in Point-of-Care Testing SARS-CoV-2 and Seroprevalence. BIOSENSORS 2022; 12:179. [PMID: 35323449 PMCID: PMC8946853 DOI: 10.3390/bios12030179] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 03/13/2022] [Accepted: 03/15/2022] [Indexed: 02/05/2023]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused the ongoing COVID-19 (coronavirus disease-2019) outbreak and has unprecedentedly impacted the public health and economic sector. The pandemic has forced researchers to focus on the accurate and early detection of SARS-CoV-2, developing novel diagnostic tests. Among these, microfluidic-based tests stand out for their multiple benefits, such as their portability, low cost, and minimal reagents used. This review discusses the different microfluidic platforms applied in detecting SARS-CoV-2 and seroprevalence, classified into three sections according to the molecules to be detected, i.e., (1) nucleic acid, (2) antigens, and (3) anti-SARS-CoV-2 antibodies. Moreover, commercially available alternatives based on microfluidic platforms are described. Timely and accurate results allow healthcare professionals to perform efficient treatments and make appropriate decisions for infection control; therefore, novel developments that integrate microfluidic technology may provide solutions in the form of massive diagnostics to control the spread of infectious diseases.
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Affiliation(s)
- Elda A. Flores-Contreras
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Nuevo León, Mexico; (E.A.F.-C.); (R.B.G.-G.)
| | | | - Iram P. Rodríguez-Sánchez
- Laboratorio de Fisiología Molecular y Estructural, Facultad de Ciencias Biológicas, Universidad Autónoma de Nuevo León, San Nicolás de los Garza 66455, Nuevo León, Mexico;
| | | | - Hafiz M. N. Iqbal
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Nuevo León, Mexico; (E.A.F.-C.); (R.B.G.-G.)
| | - Everardo González-González
- Laboratorio de Fisiología Molecular y Estructural, Facultad de Ciencias Biológicas, Universidad Autónoma de Nuevo León, San Nicolás de los Garza 66455, Nuevo León, Mexico;
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