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Ferdinandov D, Kostov V, Hadzhieva M, Shivarov V, Petrov P, Bussarsky A, Pashov AD. Reactivity Graph Yields Interpretable IgM Repertoire Signatures as Potential Tumor Biomarkers. Int J Mol Sci 2023; 24:ijms24032597. [PMID: 36768923 PMCID: PMC9917253 DOI: 10.3390/ijms24032597] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 01/24/2023] [Accepted: 01/26/2023] [Indexed: 01/31/2023] Open
Abstract
Combining adaptive and innate immunity induction modes, the repertoire of immunoglobulin M (IgM) can reflect changes in the internal environment including malignancies. Previously, it was shown that a mimotope library reflecting the public IgM repertoire of healthy donors (IgM IgOme) can be mined for efficient probes of tumor biomarker antibody reactivities. To better explore the interpretability of this approach for IgM, solid tumor-related profiles of IgM reactivities to linear epitopes of actual tumor antigens and viral epitopes were studied. The probes were designed as oriented planar microarrays of 4526 peptide sequences (as overlapping 15-mers) derived from 24 tumor-associated antigens and 209 cancer-related B cell epitopes from 30 viral antigens. The IgM reactivity in sera from 21 patients with glioblastoma multiforme, brain metastases of other tumors, and non-tumor-bearing neurosurgery patients was thus probed in a proof-of-principle study. A graph representation of the binding data was developed, which mapped the cross-reactivity of the mixture of IgM (poly)specificities, delineating different antibody footprints in the features of the graph-neighborhoods and cliques. The reactivity graph mapped the major features of the IgM repertoire such as the magnitude of the reactivity (titer) and major cross-reactivities, which correlated with blood group reactivity, non-self recognition, and even idiotypic specificities. A correlation between an aspect of this image of the IgM IgOme, namely, small cliques reflecting rare self-reactivities and the capacity of subsets of the epitopes to separate the diagnostic groups studied was found. In this way, the graph representation helped the feature selection in its filtering step and provided reduced feature sets, which, after recursive feature elimination, produced a classifier containing 51 peptide reactivities separating the three diagnostic groups with an unexpected efficiency. Thus, IgM IgOme approaches to repertoire studies is greatly augmented when self/viral antigens are used and the data are represented as a reactivity graph. This approach is most general, and if it is applicable to tumors in immunologically privileged sites, it can be applied to any solid tumors, for instance, breast or lung cancer.
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Affiliation(s)
- Dilyan Ferdinandov
- Clinic of Neurosurgery, St. Ivan Rilski University Hospital, 1431 Sofia, Bulgaria
| | - Viktor Kostov
- Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
| | - Maya Hadzhieva
- Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
| | - Velizar Shivarov
- Department of Experimental Research, Medical University—Pleven, 5800 Pleven, Bulgaria
| | - Peter Petrov
- Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
| | - Assen Bussarsky
- Clinic of Neurosurgery, St. Ivan Rilski University Hospital, 1431 Sofia, Bulgaria
| | - Anastas Dimitrov Pashov
- Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
- Correspondence:
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Vengesai A, Kasambala M, Mutandadzi H, Mduluza-Jokonya TL, Mduluza T, Naicker T. Scoping review of the applications of peptide microarrays on the fight against human infections. PLoS One 2022; 17:e0248666. [PMID: 35077448 PMCID: PMC8789108 DOI: 10.1371/journal.pone.0248666] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Accepted: 01/11/2022] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION This scoping review explores the use of peptide microarrays in the fight against infectious diseases. The research domains explored included the use of peptide microarrays in the mapping of linear B-cell and T cell epitopes, antimicrobial peptide discovery, immunosignature characterisation and disease immunodiagnostics. This review also provides a short overview of peptide microarray synthesis. METHODS Electronic databases were systematically searched to identify relevant studies. The review was conducted using the Joanna Briggs Institute methodology for scoping reviews and data charting was performed using a predefined form. The results were reported by narrative synthesis in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines. RESULTS Ninety-five articles from 103 studies were included in the final data charting process. The majority (92. 0%) of the articles were published during 2010-2020 and were mostly from Europe (44.2%) and North America (34.7%). The findings were from the investigation of viral (45.6%), bacterial (32. 0%), parasitic (23.3%) and fungal (2. 0%) infections. Out of the serological studies, IgG was the most reported antibody type followed by IgM. The largest portion of the studies (77.7%) were related to mapping B-cell linear epitopes, 5.8% were on diagnostics, 5.8% reported on immunosignature characterisation and 8.7% reported on viral and bacterial cell binding assays. Two studies reported on T-cell epitope profiling. CONCLUSION The most important application of peptide microarrays was found to be B-cell epitope mapping or antibody profiling to identify diagnostic and vaccine targets. Immunosignatures identified by random peptide microarrays were found to be applied in the diagnosis of infections and interrogation of vaccine responses. The analysis of the interactions of random peptide microarrays with bacterial and viral cells using binding assays enabled the identification of antimicrobial peptides. Peptide microarray arrays were also used for T-cell linear epitope mapping which may provide more information for the design of peptide-based vaccines and for the development of diagnostic reagents.
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Affiliation(s)
- Arthur Vengesai
- Optics & Imaging, Doris Duke Medical Research Institute, College of Health Sciences, University of KwaZulu-Natal, KwaZulu-Natal, South Africa
- Department of Biochemistry, Faculty of Medicine, Midlands State University, Gweru, Zimbabwe
| | - Maritha Kasambala
- Department of Biology, Faculty of Science and Agriculture, University of KwaZulu-Natal, KwaZulu-Natal, South Africa
| | - Hamlet Mutandadzi
- Faculty of Medicine and Health Sciences, Parirenyatwa Hospital, University of Zimbabwe, Harare, Zimbabwe
| | - Tariro L. Mduluza-Jokonya
- Optics & Imaging, Doris Duke Medical Research Institute, College of Health Sciences, University of KwaZulu-Natal, KwaZulu-Natal, South Africa
| | - Takafira Mduluza
- Department of Biochemistry, Faculty of Medicine, Midlands State University, Gweru, Zimbabwe
| | - Thajasvarie Naicker
- Optics & Imaging, Doris Duke Medical Research Institute, College of Health Sciences, University of KwaZulu-Natal, KwaZulu-Natal, South Africa
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Stafford P, Johnston SA, Kantarci OH, Zare-Shahabadi A, Warrington A, Rodriguez M. Antibody characterization using immunosignatures. PLoS One 2020; 15:e0229080. [PMID: 32196507 PMCID: PMC7083272 DOI: 10.1371/journal.pone.0229080] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2019] [Accepted: 01/29/2020] [Indexed: 12/02/2022] Open
Abstract
Therapeutic monoclonal antibodies have the potential to work as biological therapeutics. OKT3, Herceptin, Keytruda and others have positively impacted healthcare. Antibodies evolved naturally to provide high specificity and high affinity once mature. These characteristics can make them useful as therapeutics. However, we may be missing characteristics that are not obvious. We present a means of measuring antibodies in an unbiased manner that may highlight therapeutic activity. We propose using a microarray of random peptides to assess antibody properties. We tested twenty-four different commercial antibodies to gain some perspective about how much information can be derived from binding antibodies to random peptide libraries. Some monoclonals preferred to bind shorter peptides, some longer, some preferred motifs closer to the C-term, some nearer the N-term. We tested some antibodies with clinical activity but whose function was blinded to us at the time. We were provided with twenty-one different monoclonal antibodies, thirteen mouse and eight human IgM. These antibodies produced a variety of binding patterns on the random peptide arrays. When unblinded, the antibodies with polyspecific binding were the ones with the greatest therapeutic activity. The protein target to these therapeutic monoclonals is still unknown but using common sequence motifs from the peptides we predicted several human and mouse proteins. The same five highest proteins appeared in both mouse and human lists.
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Affiliation(s)
- Phillip Stafford
- Department of Bioinformatics, Caris Life Sciences, Phoenix, Arizona, United States of America
| | - Stephen Albert Johnston
- Center for Innovations in Medicine, Biodesign Institute, Arizona State University, Tempe, Arizona, United States of America
| | - Orhun H. Kantarci
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, United States of America
- * E-mail:
| | - Ameneh Zare-Shahabadi
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Arthur Warrington
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Moses Rodriguez
- Department of Neurology, Mayo Clinic, Rochester, Minnesota, United States of America
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Pashov A, Shivarov V, Hadzhieva M, Kostov V, Ferdinandov D, Heintz KM, Pashova S, Todorova M, Vassilev T, Kieber-Emmons T, Meza-Zepeda LA, Hovig E. Diagnostic Profiling of the Human Public IgM Repertoire With Scalable Mimotope Libraries. Front Immunol 2019; 10:2796. [PMID: 31849974 PMCID: PMC6901697 DOI: 10.3389/fimmu.2019.02796] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 11/14/2019] [Indexed: 12/12/2022] Open
Abstract
Specific antibody reactivities are routinely used as biomarkers, but the antibody repertoire reactivity (igome) profiles are still neglected. Here, we propose rationally designed peptide arrays as efficient probes for these system level biomarkers. Most IgM antibodies are characterized by few somatic mutations, polyspecificity, and physiological autoreactivity with housekeeping function. Previously, probing this repertoire with a set of immunodominant self-proteins provided a coarse analysis of the respective repertoire profiles. In contrast, here, we describe the generation of a peptide mimotope library that reflects the common IgM repertoire of 10,000 healthy donors. In addition, an appropriately sized subset of this quasi-complete mimotope library was further designed as a potential diagnostic tool. A 7-mer random peptide phage display library was panned on pooled human IgM. Next-generation sequencing of the selected phage yielded 224,087 sequences, which clustered in 790 sequence clusters. A set of 594 mimotopes, representative of the most significant sequence clusters, was shown to probe symmetrically the space of IgM reactivities in patients' sera. This set of mimotopes can be easily scaled including a greater proportion of the mimotope library. The trade-off between the array size and the resolution can be explored while preserving the symmetric sampling of the mimotope sequence and reactivity spaces. BLAST search of the non-redundant protein database with the mimotopes sequences yielded significantly more immunoglobulin J region hits than random peptides, indicating a considerable idiotypic connectivity of the targeted igome. The proof of principle predictors for random diagnoses was represented by profiles of mimotopes. The number of potential reactivity profiles that can be extracted from this library is estimated at more than 1070. Thus, a quasi-complete IgM mimotope library and a scalable representative subset thereof are found to address very efficiently the dynamic diversity of the human public IgM repertoire, providing informationally dense and structurally interpretable IgM reactivity profiles.
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Affiliation(s)
- Anastas Pashov
- Laboratory of Experimental Immunotherapy, Department of Immunology, Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Velizar Shivarov
- Laboratory of Clinical Immunology, Department of Clinical Hematology, Sofiamed University Hospital, Sofia, Bulgaria.,Faculty of Biology, Sofia University "St. Kliment Ohridski," Sofia, Bulgaria
| | - Maya Hadzhieva
- Laboratory of Experimental Immunotherapy, Department of Immunology, Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Victor Kostov
- Laboratory of Experimental Immunotherapy, Department of Immunology, Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, Sofia, Bulgaria.,Neurosurgery Clinic, St. Ivan Rilsky Hospital, Sofia MU, Sofia, Bulgaria
| | - Dilyan Ferdinandov
- Neurosurgery Clinic, St. Ivan Rilsky Hospital, Sofia MU, Sofia, Bulgaria
| | - Karen-Marie Heintz
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Shina Pashova
- Laboratory of Experimental Immunotherapy, Department of Immunology, Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, Sofia, Bulgaria.,Department of Molecular Immunology, Institute of Biology and Immunology of Reproduction, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Milena Todorova
- Laboratory of Experimental Immunotherapy, Department of Immunology, Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Tchavdar Vassilev
- Institute of Biology and Biomedicine, N.I. Lobachevsky University, Nizhny Novgorod, Russia
| | - Thomas Kieber-Emmons
- Winthrop P. Rockefeller Cancer Research Center, UAMS, Little Rock, AR, United States
| | - Leonardo A Meza-Zepeda
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Eivind Hovig
- Department of Tumor Biology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.,Centre for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
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Paull ML, Johnston T, Ibsen KN, Bozekowski JD, Daugherty PS. A general approach for predicting protein epitopes targeted by antibody repertoires using whole proteomes. PLoS One 2019; 14:e0217668. [PMID: 31490930 PMCID: PMC6730857 DOI: 10.1371/journal.pone.0217668] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 08/22/2019] [Indexed: 12/23/2022] Open
Abstract
Antibodies are essential to functional immunity, yet the epitopes targeted by antibody repertoires remain largely uncharacterized. To aid in characterization, we developed a generalizable strategy to predict antibody-binding epitopes within individual proteins and entire proteomes. Specifically, we selected antibody-binding peptides for 273 distinct sera out of a random library and identified the peptides using next-generation sequencing. To predict antibody-binding epitopes and the antigens from which these epitopes were derived, we tiled the sequences of candidate antigens into short overlapping subsequences of length k (k-mers). We used the enrichment over background of these k-mers in the antibody-binding peptide dataset to predict antibody-binding epitopes. As a positive control, we used this approach, termed K-mer Tiling of Protein Epitopes (K-TOPE), to predict epitopes targeted by monoclonal and polyclonal antibodies of well-characterized specificity, accurately recovering their known epitopes. K-TOPE characterized a commonly targeted antigen from Rhinovirus A, predicting four epitopes recognized by antibodies present in 87% of sera (n = 250). An analysis of 2,908 proteins from 400 viral taxa that infect humans predicted seven enterovirus epitopes and five Epstein-Barr virus epitopes recognized by >30% of specimens. Analysis of Staphylococcus and Streptococcus proteomes similarly predicted 22 epitopes recognized by >30% of specimens. Twelve of these common viral and bacterial epitopes agreed with previously mapped epitopes with p-values < 0.05. Additionally, we predicted 30 HSV2-specific epitopes that were 100% specific against HSV1 in novel and previously reported antigens. Experimentally validating these candidate epitopes could help identify diagnostic biomarkers, vaccine components, and therapeutic targets. The K-TOPE approach thus provides a powerful new tool to elucidate the organisms, antigens, and epitopes targeted by human antibody repertoires.
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Affiliation(s)
- Michael L. Paull
- Department of Chemical Engineering, University of California Santa Barbara, California, United States of America
- * E-mail: (MLP); (PSD)
| | - Tim Johnston
- Department of Chemical Engineering, University of California Santa Barbara, California, United States of America
| | - Kelly N. Ibsen
- Department of Chemical Engineering, University of California Santa Barbara, California, United States of America
| | - Joel D. Bozekowski
- Department of Chemical Engineering, University of California Santa Barbara, California, United States of America
| | - Patrick S. Daugherty
- Department of Chemical Engineering, University of California Santa Barbara, California, United States of America
- * E-mail: (MLP); (PSD)
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Günther OP, Gardy JL, Stafford P, Fluge Ø, Mella O, Tang P, Miller RR, Parker SM, Johnston SA, Patrick DM. Immunosignature Analysis of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). Mol Neurobiol 2019; 56:4249-4257. [PMID: 30298340 PMCID: PMC6505503 DOI: 10.1007/s12035-018-1354-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 09/14/2018] [Indexed: 12/27/2022]
Abstract
A random-sequence peptide microarray can interrogate serum antibodies in a broad, unbiased fashion to generate disease-specific immunosignatures. This approach has been applied to cancer detection, diagnosis of infections, and interrogation of vaccine response. We hypothesized that there is an immunosignature specific to ME/CFS and that this could aid in the diagnosis. We studied two subject groups meeting the Canadian Consensus Definition of ME/CFS. ME/CFS (n = 25) and matched control (n = 25) sera were obtained from a Canadian study. ME/CFS (n = 25) sera were obtained from phase 1/2 Norwegian trials (NCT01156909). Sera from six healthy controls from the USA were included in the analysis. Canadian cases and controls were tested for a disease immunosignature. By combining results from unsupervised and supervised analyses, a candidate immunosignature with 654 peptides was able to differentiate ME/CFS from controls. The immunosignature was tested and further refined using the Norwegian and USA samples. This resulted in a 256-peptide immunosignature with the ability to separate ME/CFS cases from controls in the international data sets. We were able to identify a 256-peptide signature that separates ME/CFS samples from healthy controls, suggesting that the hit-and-run hypothesis of immune dysfunction merits further investigation. By extending testing of both our signature and one previously reported in the literature to larger cohorts, and further interrogating the specific peptides we and others have identified, we may deepen our understanding of the origins of ME/CFS and work towards a clinically meaningful diagnostic biomarker.
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Affiliation(s)
| | - Jennifer L Gardy
- British Columbia Centre for Disease Control, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | | | - Øystein Fluge
- Department of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway
| | - Olav Mella
- Department of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway
| | | | - Ruth R Miller
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Shoshana M Parker
- Centre for Health Evaluation and Outcome Sciences, St. Paul's Hospital, Vancouver, BC, Canada
| | | | - David M Patrick
- British Columbia Centre for Disease Control, Vancouver, BC, Canada.
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada.
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8
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Pashova S, Schneider C, von Gunten S, Pashov A. Antibody repertoire profiling with mimotope arrays. Hum Vaccin Immunother 2016; 13:314-322. [PMID: 27929733 DOI: 10.1080/21645515.2017.1264786] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Large-scale profiling and monitoring of antibody repertoires is possible through next generation sequencing (NGS), phage display libraries and microarrays. These methods can be combined in a pipeline, which ultimately maps the antibody reactivities onto defined arrays of structures - peptides or carbohydrates. The arrays can help analyze the individual specificities or can be used as complex patterns. In any case, the targets recognized should formally be considered mimotopes unless they are proven to be epitopes driving the antibody synthesis. Here, the advantages and disadvantages of the major profiling techniques as well as their current and future application in disease prediction and vaccination are discussed.
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Affiliation(s)
- Shina Pashova
- a Institute of Biology and Immunology of Reproduction, Bulgarian Academy of Sciences , Sofia , Bulgaria
| | | | | | - Anastas Pashov
- c Stephan Angeloff Institute of Microbiology, Bulgarian Academy of Sciences , Sofia , Bulgaria
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