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Li L, Dugan HL, Stamper CT, Lan LYL, Asby NW, Knight M, Stovicek O, Zheng NY, Madariaga ML, Shanmugarajah K, Jansen MO, Changrob S, Utset HA, Henry C, Nelson C, Jedrzejczak RP, Fremont DH, Joachimiak A, Krammer F, Huang J, Khan AA, Wilson PC. Improved integration of single-cell transcriptome and surface protein expression by LinQ-View. Cell Rep Methods 2021; 1:100056. [PMID: 35475142 PMCID: PMC9017149 DOI: 10.1016/j.crmeth.2021.100056] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/12/2021] [Accepted: 06/25/2021] [Indexed: 12/26/2022]
Abstract
Multimodal advances in single-cell sequencing have enabled the simultaneous quantification of cell surface protein expression alongside unbiased transcriptional profiling. Here, we present LinQ-View, a toolkit designed for multimodal single-cell data visualization and analysis. LinQ-View integrates transcriptional and cell surface protein expression profiling data to reveal more accurate cell heterogeneity and proposes a quantitative metric for cluster purity assessment. Through comparison with existing multimodal methods on multiple public CITE-seq datasets, we demonstrate that LinQ-View efficiently generates accurate cell clusters, especially in CITE-seq data with routine numbers of surface protein features, by preventing variations in a single surface protein feature from affecting results. Finally, we utilized this method to integrate single-cell transcriptional and protein expression data from SARS-CoV-2-infected patients, revealing antigen-specific B cell subsets after infection. Our results suggest LinQ-View could be helpful for multimodal analysis and purity assessment of CITE-seq datasets that target specific cell populations (e.g., B cells).
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Affiliation(s)
- Lei Li
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Haley L. Dugan
- Committee on Immunology, University of Chicago, Chicago, IL 60637, USA
| | | | - Linda Yu-Ling Lan
- Committee on Immunology, University of Chicago, Chicago, IL 60637, USA
| | - Nicholas W. Asby
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - Matthew Knight
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Olivia Stovicek
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Nai-Ying Zheng
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | | | | | - Maud O. Jansen
- Section of Hospital Medicine, University of Chicago Medical Center, Chicago, IL 60637, USA
| | - Siriruk Changrob
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Henry A. Utset
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Carole Henry
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Christopher Nelson
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Robert P. Jedrzejczak
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, USA
- Structural Biology Center, X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Daved H. Fremont
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Andrzej Joachimiak
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, USA
- Structural Biology Center, X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
- Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL 60637, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jun Huang
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - Aly A. Khan
- Department of Pathology, University of Chicago, Chicago, IL 60637, USA
| | - Patrick C. Wilson
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
- Committee on Immunology, University of Chicago, Chicago, IL 60637, USA
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2
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Dugan HL, Stamper CT, Li L, Changrob S, Asby NW, Halfmann PJ, Zheng NY, Huang M, Shaw DG, Cobb MS, Erickson SA, Guthmiller JJ, Stovicek O, Wang J, Winkler ES, Madariaga ML, Shanmugarajah K, Jansen MO, Amanat F, Stewart I, Utset HA, Huang J, Nelson CA, Dai YN, Hall PD, Jedrzejczak RP, Joachimiak A, Krammer F, Diamond MS, Fremont DH, Kawaoka Y, Wilson PC. Profiling B cell immunodominance after SARS-CoV-2 infection reveals antibody evolution to non-neutralizing viral targets. Immunity 2021; 54:1290-1303.e7. [PMID: 34022127 PMCID: PMC8101792 DOI: 10.1016/j.immuni.2021.05.001] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 04/06/2021] [Accepted: 04/29/2021] [Indexed: 12/16/2022]
Abstract
Dissecting the evolution of memory B cells (MBCs) against SARS-CoV-2 is critical for understanding antibody recall upon secondary exposure. Here, we used single-cell sequencing to profile SARS-CoV-2-reactive B cells in 38 COVID-19 patients. Using oligo-tagged antigen baits, we isolated B cells specific to the SARS-CoV-2 spike, nucleoprotein (NP), open reading frame 8 (ORF8), and endemic human coronavirus (HCoV) spike proteins. SARS-CoV-2 spike-specific cells were enriched in the memory compartment of acutely infected and convalescent patients several months post symptom onset. With severe acute infection, substantial populations of endemic HCoV-reactive antibody-secreting cells were identified and possessed highly mutated variable genes, signifying preexisting immunity. Finally, MBCs exhibited pronounced maturation to NP and ORF8 over time, especially in older patients. Monoclonal antibodies against these targets were non-neutralizing and non-protective in vivo. These findings reveal antibody adaptation to non-neutralizing intracellular antigens during infection, emphasizing the importance of vaccination for inducing neutralizing spike-specific MBCs.
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Affiliation(s)
- Haley L Dugan
- Committee on Immunology, University of Chicago, Chicago, IL 60637, USA
| | | | - Lei Li
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Siriruk Changrob
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Nicholas W Asby
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - Peter J Halfmann
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53711
| | - Nai-Ying Zheng
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Min Huang
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Dustin G Shaw
- Committee on Immunology, University of Chicago, Chicago, IL 60637, USA
| | - Mari S Cobb
- Section of Genetic Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Steven A Erickson
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Jenna J Guthmiller
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Olivia Stovicek
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Jiaolong Wang
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Emma S Winkler
- Department of Medicine, Washington University School of Medicine, St Louis, MO 63130, USA; Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO 63130, USA
| | | | | | - Maud O Jansen
- Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Fatima Amanat
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Isabelle Stewart
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Henry A Utset
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Jun Huang
- Committee on Immunology, University of Chicago, Chicago, IL 60637, USA; Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - Christopher A Nelson
- Department of Medicine, Washington University School of Medicine, St Louis, MO 63130, USA
| | - Ya-Nan Dai
- Department of Medicine, Washington University School of Medicine, St Louis, MO 63130, USA
| | - Paige D Hall
- Department of Medicine, Washington University School of Medicine, St Louis, MO 63130, USA
| | - Robert P Jedrzejczak
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, USA; Structural Biology Center, X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Andrzej Joachimiak
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, USA; Structural Biology Center, X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA; Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL 60637, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Michael S Diamond
- Department of Medicine, Washington University School of Medicine, St Louis, MO 63130, USA; Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO 63130, USA; Department of Molecular Immunology, Washington University School of Medicine, St Louis, MO 63130, USA
| | - Daved H Fremont
- Department of Medicine, Washington University School of Medicine, St Louis, MO 63130, USA
| | - Yoshihiro Kawaoka
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53711; Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, 108-8639 Tokyo, Japan
| | - Patrick C Wilson
- Committee on Immunology, University of Chicago, Chicago, IL 60637, USA; University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA.
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3
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Madariaga MLL, Guthmiller JJ, Schrantz S, Jansen MO, Christensen C, Kumar M, Prochaska M, Wool G, Durkin-Celauro A, Oh WH, Trockman L, Vigneswaran J, Keskey R, Shaw DG, Dugan H, Zheng NY, Cobb M, Utset H, Wang J, Stovicek O, Bethel C, Matushek S, Giurcanu M, Beavis KG, di Sabato D, Meltzer D, Ferguson MK, Kress JP, Shanmugarajah K, Matthews JB, Fung JF, Wilson PC, Alverdy JC, Donington JS. Clinical predictors of donor antibody titre and correlation with recipient antibody response in a COVID-19 convalescent plasma clinical trial. J Intern Med 2021; 289:559-573. [PMID: 33034095 PMCID: PMC7675325 DOI: 10.1111/joim.13185] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 08/11/2020] [Accepted: 09/08/2020] [Indexed: 12/28/2022]
Abstract
BACKGROUND Convalescent plasma therapy for COVID-19 relies on transfer of anti-viral antibody from donors to recipients via plasma transfusion. The relationship between clinical characteristics and antibody response to COVID-19 is not well defined. We investigated predictors of convalescent antibody production and quantified recipient antibody response in a convalescent plasma therapy clinical trial. METHODS Multivariable analysis of clinical and serological parameters in 103 confirmed COVID-19 convalescent plasma donors 28 days or more following symptom resolution was performed. Mixed-effects regression models with piecewise linear trends were used to characterize serial antibody responses in 10 convalescent plasma recipients with severe COVID-19. RESULTS Donor antibody titres ranged from 0 to 1 : 3892 (anti-receptor binding domain (RBD)) and 0 to 1 : 3289 (anti-spike). Higher anti-RBD and anti-spike titres were associated with increased age, hospitalization for COVID-19, fever and absence of myalgia (all P < 0.05). Fatigue was significantly associated with anti-RBD (P = 0.03). In pairwise comparison amongst ABO blood types, AB donors had higher anti-RBD and anti-spike than O donors (P < 0.05). No toxicity was associated with plasma transfusion. Non-ECMO recipient anti-RBD antibody titre increased on average 31% per day during the first three days post-transfusion (P = 0.01) and anti-spike antibody titre by 40.3% (P = 0.02). CONCLUSION Advanced age, fever, absence of myalgia, fatigue, blood type and hospitalization were associated with higher convalescent antibody titre to COVID-19. Despite variability in donor titre, 80% of convalescent plasma recipients showed significant increase in antibody levels post-transfusion. A more complete understanding of the dose-response effect of plasma transfusion amongst COVID-19-infected patients is needed.
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Affiliation(s)
- M L L Madariaga
- From the, Departments of, Department of, Surgery, University of Chicago, Chicago, IL, USA
| | - J J Guthmiller
- Department of, Medicine, University of Chicago, Chicago, IL, USA
| | - S Schrantz
- Department of, Medicine, University of Chicago, Chicago, IL, USA
| | - M O Jansen
- Department of, Medicine, University of Chicago, Chicago, IL, USA
| | - C Christensen
- Department of, Pathology, University of Chicago, Chicago, IL, USA
| | - M Kumar
- Department of, Medicine, University of Chicago, Chicago, IL, USA
| | - M Prochaska
- Department of, Medicine, University of Chicago, Chicago, IL, USA
| | - G Wool
- Department of, Pathology, University of Chicago, Chicago, IL, USA
| | - A Durkin-Celauro
- From the, Departments of, Department of, Surgery, University of Chicago, Chicago, IL, USA
| | - W H Oh
- From the, Departments of, Department of, Surgery, University of Chicago, Chicago, IL, USA
| | - L Trockman
- From the, Departments of, Department of, Surgery, University of Chicago, Chicago, IL, USA
| | - J Vigneswaran
- From the, Departments of, Department of, Surgery, University of Chicago, Chicago, IL, USA
| | - R Keskey
- From the, Departments of, Department of, Surgery, University of Chicago, Chicago, IL, USA
| | - D G Shaw
- Committee on Immunology, University of Chicago, Chicago, IL, USA
| | - H Dugan
- Committee on Immunology, University of Chicago, Chicago, IL, USA
| | - N-Y Zheng
- Department of, Medicine, University of Chicago, Chicago, IL, USA
| | - M Cobb
- Department of, Medicine, University of Chicago, Chicago, IL, USA
| | - H Utset
- Department of, Medicine, University of Chicago, Chicago, IL, USA
| | - J Wang
- Department of, Medicine, University of Chicago, Chicago, IL, USA
| | - O Stovicek
- Department of, Medicine, University of Chicago, Chicago, IL, USA
| | - C Bethel
- Clinical Microbiology and Immunology Laboratory, University of Chicago, Chicago, IL, USA
| | - S Matushek
- Clinical Microbiology and Immunology Laboratory, University of Chicago, Chicago, IL, USA
| | - M Giurcanu
- Department of Public Health Sciences, University of Chicago, Chicago, IL, USA
| | - K G Beavis
- Biological Sciences Division, Department of Pathology, University of Chicago, Chicago, IL, USA
| | - D di Sabato
- From the, Departments of, Department of, Surgery, University of Chicago, Chicago, IL, USA
| | - D Meltzer
- Department of, Medicine, University of Chicago, Chicago, IL, USA
| | - M K Ferguson
- From the, Departments of, Department of, Surgery, University of Chicago, Chicago, IL, USA
| | - J P Kress
- Department of, Medicine, University of Chicago, Chicago, IL, USA
| | - K Shanmugarajah
- From the, Departments of, Department of, Surgery, University of Chicago, Chicago, IL, USA
| | - J B Matthews
- From the, Departments of, Department of, Surgery, University of Chicago, Chicago, IL, USA
| | - J F Fung
- From the, Departments of, Department of, Surgery, University of Chicago, Chicago, IL, USA
| | - P C Wilson
- Department of, Medicine, University of Chicago, Chicago, IL, USA
| | - J C Alverdy
- From the, Departments of, Department of, Surgery, University of Chicago, Chicago, IL, USA
| | - J S Donington
- From the, Departments of, Department of, Surgery, University of Chicago, Chicago, IL, USA
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4
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Jansen MO, Angelos P, Schrantz SJ, Donington JS, Madariaga MLL, Zakrison TL. Fair and equitable subject selection in concurrent COVID-19 clinical trials. J Med Ethics 2021; 47:7-11. [PMID: 33046590 PMCID: PMC7551738 DOI: 10.1136/medethics-2020-106590] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 09/23/2020] [Accepted: 09/27/2020] [Indexed: 06/11/2023]
Abstract
Clinical trials emerged in rapid succession as the COVID-19 pandemic created an unprecedented need for life-saving therapies. Fair and equitable subject selection in clinical trials offering investigational therapies ought to be an urgent moral concern. Subject selection determines the distribution of risks and benefits, and impacts the applicability of the study results for the larger population. While Research Ethics Committees monitor fair subject selection within each trial, no standard oversight exists for subject selection across multiple trials for the same disease. Drawing on the experience of multiple clinical trials at a single academic medical centre in the USA, we posit that concurrent COVID-19 trials are liable to unfair and inequitable subject selection on account of scientific uncertainty, lack of transparency, scarcity and, lastly, structural barriers to equity compounded by implicit bias. To address the critical gap in the current literature and international regulation, we propose new ethical guidelines for research design and conduct that bolsters fair and equitable subject selection. Although the proposed guidelines are tailored to the research design and protocol of concurrent trials in the COVID-19 pandemic, they may have broader relevance to single COVID-19 trials.
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Affiliation(s)
- Maud O Jansen
- Medicine, University of Chicago, Chicago, Illinois, USA
| | - Peter Angelos
- General Surgery, University of Chicago, Chicago, Illinois, USA
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5
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Stamper CT, Dugan HL, Li L, Asby NW, Halfmann PJ, Guthmiller JJ, Zheng NY, Huang M, Stovicek O, Wang J, Madariaga ML, Shanmugarajah K, Jansen MO, Amanat F, Stewart I, Changrob S, Utset HA, Huang J, Nelson CA, Dai YN, Hall PD, Jedrzejczak RP, Joachimiak A, Krammer F, Fremont DH, Kawaoka Y, Wilson PC. Distinct B cell subsets give rise to antigen-specific antibody responses against SARS-CoV-2. Res Sq 2020:rs.3.rs-80476. [PMID: 32995763 PMCID: PMC7523131 DOI: 10.21203/rs.3.rs-80476/v1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Discovery of durable memory B cell (MBC) subsets against neutralizing viral epitopes is critical for determining immune correlates of protection from SARS-CoV-2 infection. Here, we identified functionally distinct SARS-CoV-2-reactive B cell subsets by profiling the repertoire of convalescent COVID-19 patients using a high-throughput B cell sorting and sequencing platform. Utilizing barcoded SARS-CoV-2 antigen baits, we isolated thousands of B cells that segregated into discrete functional subsets specific for the spike, nucleocapsid protein (NP), and open reading frame (ORF) proteins 7a and 8. Spike-specific B cells were enriched in canonical MBC clusters, and monoclonal antibodies (mAbs) from these cells were potently neutralizing. By contrast, B cells specific to ORF8 and NP were enriched in naïve and innate-like clusters, and mAbs against these targets were exclusively non-neutralizing. Finally, we identified that B cell specificity, subset distribution, and affinity maturation were impacted by clinical features such as age, sex, and symptom duration. Together, our data provide a comprehensive tool for evaluating B cell immunity to SARS-CoV-2 infection or vaccination and highlight the complexity of the human B cell response to SARS-CoV-2.
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Affiliation(s)
- Christopher T. Stamper
- Committee on Immunology, University of Chicago, Chicago, IL 60637, USA
- These authors contributed equally
| | - Haley L. Dugan
- Committee on Immunology, University of Chicago, Chicago, IL 60637, USA
- These authors contributed equally
| | - Lei Li
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
- These authors contributed equally
| | - Nicholas W. Asby
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - Peter J. Halfmann
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53711, USA
| | - Jenna J. Guthmiller
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Nai-Ying Zheng
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Min Huang
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Olivia Stovicek
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Jiaolong Wang
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | | | | | - Maud O. Jansen
- University of Chicago Department of Medicine, Chicago, IL 60637, USA
| | - Fatima Amanat
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Isabelle Stewart
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Siriruk Changrob
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Henry A. Utset
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
| | - Jun Huang
- Committee on Immunology, University of Chicago, Chicago, IL 60637, USA
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA
| | - Christopher A. Nelson
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO 63130, USA
| | - Ya-Nan Dai
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO 63130, USA
| | - Paige D. Hall
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO 63130, USA
| | - Robert P. Jedrzejczak
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, USA
- Structural Biology Center, X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
| | - Andrzej Joachimiak
- Center for Structural Genomics of Infectious Diseases, Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, USA
- Structural Biology Center, X-ray Science Division, Argonne National Laboratory, Lemont, IL 60439, USA
- Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL 60637, USA
| | - Florian Krammer
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Daved H. Fremont
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, MO 63130, USA
| | - Yoshihiro Kawaoka
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53711, USA
- Division of Virology, Department of Microbiology and Immunology, Institute of Medical Science, University of Tokyo, 108-8639 Tokyo, Japan
| | - Patrick C. Wilson
- Committee on Immunology, University of Chicago, Chicago, IL 60637, USA
- University of Chicago Department of Medicine, Section of Rheumatology, Chicago, IL 60637, USA
- Lead Contact
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6
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Jansen MO, Schamhardt HC, van den Bogert AJ, Hartman W. Mechanical properties of the tendinous equine interosseus muscle are affected by in vivo transducer implantation. J Biomech 1998; 31:485-90. [PMID: 9727347 DOI: 10.1016/s0021-9290(98)00023-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Liquid metal strain gauges (LMSGs) were implanted in the tendinous interosseous muscle, also called suspensory ligament (SL), in the forelimbs of 6 ponies in order to quantify in vivo strains and forces. Kinematics and ground reaction forces were recorded simultaneously with LMSG signals at the walk and the trot prior to implantation, and 3 and 4 days thereafter. The ponies were euthanised and tensile and failure tests were performed on the instrumented tendons and on the tendons of the contra lateral limb, which were instrumented post mortem. The origo-insertional (OI) strain of the SL was computed from pre- and post-operative kinematics, using a 2D geometrical model. The LMSG-recorded peak strain of the SL was 5.4+/-0.9% at the walk and 9.1+/-1.3% at the trot. Failure occurred at 15.4+/-2.1% (mean+/-S.D.). The LMSG strain was higher than the simultaneously recorded OI strain 0.5+/-0.7% strain at the walk and 2.2+/-1.1% strain at the trot. Post-operative OI strains were only slightly higher than pre-operative values. Failure strains of in vivo instrumented SLs were 2.0+/-1.2% strain higher, and failure forces were slightly lower, than those of the contra lateral SLs that were instrumented post mortem. SL strains appeared to be considerably higher than those found in earlier acute experiments. Differences between in vivo LMSG and OI strains, supported by lower failure strains comparing in vivo and post mortem instrumented SLs, revealed that local changes in tendon mechanical properties occurred within 3 to 4 days after transducer implantation. Therefore, measurements of normal physiological tendon strains should be performed as soon as possible after transducer implantation.
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Affiliation(s)
- M O Jansen
- Department of Veterinary Anatomy, Faculty of Veterinary Medicine, Utrecht University, The Netherlands
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7
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Abstract
Strains in the superficial digital flexor tendon (SDFT), deep digital flexor tendon (DDFT), accessory ligament of the deep digital flexor muscle (inferior check ligament [ICL]) and the interosseus medius muscle (suspensory ligament [SL]) in the right forelimb of 5 ponies were measured using mercury-in-silastic strain gauges a few hours after implantation. Tendon strains were recorded at the walk with normal flat shoes, egg-bar shoes, a 7 degrees increased hoof angle accomplished by application of a heel-wedge and a 7 degrees decreased hoof angle using a toe-wedge, consecutively. Ground reaction forces were recorded with all 4 shoe types preoperatively and with flat shoes post operatively. The strain patterns of the SDFT, DDFT and SL showed a rapid increase at the beginning of the stance phase, followed by a plateau with a small incline or decline and a rapid decrease at the end of the stance phase. The SDFT had its maximal strain in the first half of the stance phase in all ponies. The DDFT and SL reached their maximal strain in the first half of the stance phase in 2 ponies and in the second half of the stance phase in the other 3 ponies. The ICL was strained maximally in the second half of the stance phase in all ponies. Averaged over all 5 ponies, the maximal strains in the SDFT, DDFT, ICL and SL with normal flat shoes were 2.4, 1.3, 5.4 and 3.7%, respectively. If an egg-bar was applied the mean peak strain in the DDFT was 0.13% lower and strain in the SL was 0.22% higher. With a heel-wedge, strain decreased in the DDFT and ICL (0.19% and 0.4%, respectively) and increased by 0.24% in the SL. A toe-wedge increased strain in the ICL by 0.8%. All changes mentioned were statistically significant (P < 0.1). The changes in tendon strain as a result of different types of shoeing correlated with changes in calculated torque's of the ground reaction force acting on the coffin joint.
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Affiliation(s)
- D J Riemersma
- Department of Veterinary Anatomy, Faculty of Veterinary Medicine, Utrecht University, The Netherlands
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Riemersma DJ, van den Bogert AJ, Jansen MO, Schamhardt HC. Tendon strain in the forelimbs as a function of gait and ground characteristics and in vitro limb loading in ponies. Equine Vet J 1996; 28:133-8. [PMID: 8706645 DOI: 10.1111/j.2042-3306.1996.tb01605.x] [Citation(s) in RCA: 61] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Strains in the tendons of the m. flexor digitalis superficialis (superficial digital flexor, SDFT) and m. flexor digitalis profundus (deep digital flexor, DDFT) tendons, the accessory ligament of the deep digital flexor muscle (inferior check ligament, ICL) and the m. interosseus medius (suspensory ligament, SL) of 5 ponies were recorded at the walk and trot using mercury-in-silastic strain gauges (MISS), on a hard surface (brick pavement) and on sand. The horses were shod with normal, flat shoes. On pavement, strain in the SDFT, DDFT and SL increased significantly from the walk (2.19%, 1.15% and 3.36%, respectively) to the trot (4.15%, 1.70% and 5.78%, respectively), but that in the ICL did not change significantly (5.36% at the walk, 4.88% at the trot). Strains in the ICL and SL were higher on pavement than on sand (P < 0.1) and strains in the SDFT and DDFT were not significantly different. Tendon strain in the SDFT and SL, but not in the ICL and DDFT, increased (P < 0.1) in a pony at the walk on pavement with a rider. Post mortem loading of the same instrumented limbs revealed that the metacarpophalangeal joint could be further extended when the elbow joint was extended. The in vitro tendon strain was different from that in vivo, implying that results from in vitro limb loading tests have only limited value for assessing tendon functioning in vivo.
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Affiliation(s)
- D J Riemersma
- Department of Veterinary Anatomy, Faculty of Veterinary Medicine, Utrecht University, The Netherlands
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Jansen MO, van Buiten A, van den Bogert AJ, Schamhardt HC. Strain of the musculus interosseus medius and its rami extensorii in the horse, deduced from in vivo kinematics. Acta Anat (Basel) 1993; 147:118-24. [PMID: 8379292 DOI: 10.1159/000147491] [Citation(s) in RCA: 24] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
The in vivo strains of the musculus interosseus medius (suspensory ligament) and its rami extensorii (extensor branches) in the forelimb of the horse were determined from angular changes of the metacarpophalangeal and the distal interphalangeal joints. For this purpose, regression models were fitted to strains and joint angle combinations measured in in vitro limb loading experiments. The in vivo strains were computed from the kinematics of 8 horses at the walk, the trot and the canter. It was found that the extensor branches were strained about 1.0% at hoof impact, which indicates that they passively extend the interphalangeal joints just prior to impact and prevent flexion of the pastern joint just thereafter. The maximal strain of the suspensory ligament amounted to 3.4% at the walk, 5.6% at the trot and 6.3% at a slow canter.
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Affiliation(s)
- M O Jansen
- Biomechanics Research Group, University of Utrecht, The Netherlands
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Jansen MO, van den Bogert AJ, Riemersma DJ, Schamhardt HC. In vivo tendon forces in the forelimb of ponies at the walk, validated by ground reaction force measurements. Acta Anat (Basel) 1993; 146:162-7. [PMID: 8470460 DOI: 10.1159/000147439] [Citation(s) in RCA: 51] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
The load distribution over tendinous structures in the equine forelimb was studied by computing forces from in vivo signals of implanted liquid-metal strain gauges in 5 ponies. For validation, these tendon forces were converted to joint moments, which were summed and compared to the calculated joint moments caused by the ground reaction force. Mean peak forces per kilogram body weight (n = 5) amounted to 5.2 N/kg for the superficial digital flexor tendon, 3.8 N/kg for the deep digital flexor tendon, 7.3 N/kg for the distal accessory (check) ligament and 8.4 N/kg for the third interosseous muscle (suspensory ligament). The maximal moment exerted by the tendons about the fetlock joint differed 11 +/- 7% (average +/- SD, n = 5) from the maximal ground reaction force moment, which difference amounted to 17 +/- 15% for the coffin joint moments. These differences appeared to result to a substantial extent from errors in the moment arms. Therefore, the computed tendon forces were considered to be sufficiently reliable.
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Affiliation(s)
- M O Jansen
- Biomechanics Research Group, Faculty of Veterinary Medicine, University of Utrecht, The Netherlands
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Jansen MO, van Raaij JA, van den Bogert AJ, Schamhardt HC, Hartman W. Quantitative analysis of computer-averaged electromyographic profiles of intrinsic limb muscles in ponies at the walk. Am J Vet Res 1992; 53:2343-9. [PMID: 1476320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
The function of several intrinsic muscles of the fore-and hind limbs of 5 ponies walking normally was evaluated via surface electromyography. Electromyographic signals were band-pass filtered, rectified, linear enveloped, and standardized to the stride duration. Mean data from the muscles of the left and right limbs that were obtained from at least 30 strides in 2 recording sessions were recorded as electromyographic signals-time curves. The timing of muscle activity was determined from these graphs. On the basis of the major peaks in the electromyographic signal, muscle functions were identified. In the forelimb, the extensor carpi radialis muscle was involved in extension of the carpus at the end of the swing phase of the stride, and it provided support to flexion of the cubital joint at the beginning of the swing phase. The common digital extensor muscle extended the distal joints of the forelimb at the end of the swing phase. The ulnaris lateralis muscle provided support to extension of the cubital joint at the beginning of the stance phase, and the flexor carpi radialis muscle flexed the carpus at the beginning of the swing phase. The flexor carpi ulnaris muscle extended the cubital joint at the end of the swing phase. In the hind limb, the long digital extensor muscle flexed the tarsus at the beginning of the swing phase and extended the digital joints preceding the stance phase. The deep digital flexor muscle prevented overextension of the distal interphalangeal joint during the stance phase and flexion of the digital joints during the swing phase.(ABSTRACT TRUNCATED AT 250 WORDS)
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Affiliation(s)
- M O Jansen
- Department of Veterinary Anatomy, Faculty of Veterinary Medicine, University of Utrecht, The Netherlands
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Abstract
Hind limb kinematics were recorded in five horses at walk and trot using an opto-electronic CODA-3 system. Simultaneously, in vivo strain in the completely tendinous peroneus tertius muscle was registered by implanted mercury-in-silastic strain gauges. The origin-insertion length patterns of the peroneus tertius were calculated from raw kinematic data and from data corrected for the error caused by skin displacement, and compared with the directly measured strain. The strain patterns calculated from externally measured kinematic data appeared to be in accordance with the directly measured strain gauge data. However, a correction for skin displacement is an obligatory prerequisite to obtain reliable results. The amplitudes of strain did not exceed 3% and appeared to be of about the same magnitude at both walk and trot.
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Affiliation(s)
- P R van Weeren
- Equine Biomechanics Research Group, Faculty of Veterinary Medicine, Utrecht University, The Netherlands
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