Use of an ETEC Proteome Microarray to Evaluate Cross-Reactivity of ETVAX® Vaccine-Induced IgG Antibodies in Zambian Children Article Swipe
Cynthia Mubanga
,
Michelo Simuyandi
,
Kapambwe Mwape
,
Kennedy Chibesa
,
Caroline Cleopatra Chisenga
,
Obvious Nchimunya Chilyabanyama
,
Arlo Randall
,
Xiaowu Liang
,
Richard H. Glashoff
,
Roma Chilengi
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/vaccines11050939
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/vaccines11050939
Developing a broadly protective vaccine covering most ETEC variants has been elusive. The most clinically advanced candidate yet is an oral inactivated ETEC vaccine (ETVAX®). We report on the use of a proteome microarray for the assessment of cross-reactivity of anti-ETVAX® IgG antibodies against over 4000 ETEC antigens and proteins. We evaluated 40 (pre-and post-vaccination) plasma samples from 20 Zambian children aged 10–23 months that participated in a phase 1 trial investigating the safety, tolerability, and immunogenicity of ETVAX® adjuvanted with dmLT. Pre-vaccination samples revealed high IgG responses to a variety of ETEC proteins including classical ETEC antigens (CFs and LT) and non-classical antigens. Post-vaccination reactivity to CFA/I, CS3, CS6, and LTB was stronger than baseline among the vaccinated compared to the placebo group. Interestingly, we noted significantly high post-vaccination responses to three non-vaccine ETEC proteins: CS4, CS14, and PCF071 (p = 0.043, p = 0.028, and p = 0.00039, respectively), suggestive of cross-reactive responses to CFA/I. However, similar responses were observed in the placebo group, indicating the need for larger studies. We conclude that the ETEC microarray is a useful tool for investigating antibody responses to numerous antigens, especially because it may not be practicable to include all antigens in a single vaccine.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/vaccines11050939
- https://www.mdpi.com/2076-393X/11/5/939/pdf?version=1683195509
- OA Status
- gold
- Cited By
- 9
- References
- 49
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4372347371
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4372347371Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/vaccines11050939Digital Object Identifier
- Title
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Use of an ETEC Proteome Microarray to Evaluate Cross-Reactivity of ETVAX® Vaccine-Induced IgG Antibodies in Zambian ChildrenWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-05-04Full publication date if available
- Authors
-
Cynthia Mubanga, Michelo Simuyandi, Kapambwe Mwape, Kennedy Chibesa, Caroline Cleopatra Chisenga, Obvious Nchimunya Chilyabanyama, Arlo Randall, Xiaowu Liang, Richard H. Glashoff, Roma ChilengiList of authors in order
- Landing page
-
https://doi.org/10.3390/vaccines11050939Publisher landing page
- PDF URL
-
https://www.mdpi.com/2076-393X/11/5/939/pdf?version=1683195509Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2076-393X/11/5/939/pdf?version=1683195509Direct OA link when available
- Concepts
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Immunogenicity, Antigen, Vaccination, Immunology, Antibody, Proteome, Medicine, Microarray, Virology, Biology, Bioinformatics, Gene, Genetics, Gene expressionTop concepts (fields/topics) attached by OpenAlex
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9Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 4, 2023: 3Per-year citation counts (last 5 years)
- References (count)
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49Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| corresponding_institution_ids | https://openalex.org/I107920810, https://openalex.org/I1294560359, https://openalex.org/I26092322, https://openalex.org/I2802694459 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6499999761581421 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.88691698 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |