Co-Activation of Th17 and Antibody Responses Provides Efficient Protection against Mucosal Infection by Group A Streptococcus Article Swipe
Xianyang Chen
,
Ning Li
,
Shuai Bi
,
Xiaoguang Wang
,
Beinan Wang
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0168861
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0168861
Conserved protein antigens among serotypes of group A Streptococcus pyogenes (GAS) have been focused for vaccine development because of the diversity of GAS serotypes and risks of autoimmunity post-GAS infection. Precise delineation of protective immune response to each of GAS antigens is critical for vaccine efficacy and safety. We recently reported that immunization with SrtA of GAS provides Th17-dependent clearance of heterologous serotypes of GAS in NALT. SCPA is a surface virulence molecule of GAS and known to induce antibody-mediated protection against GAS. We hypothesized that co-immunization with SrtA and SCPA would provide more efficient protection by eliciting combined Th17 and antibody responses. The present study showed that mice that were intranasally co-immunized with SrtA/SCPA cleared GAS more efficiently than the mice that were immunized with either SrtA or SCPA individually, and as efficient as the mice that experienced repeated GAS infections. The co-immunization induced Th17 and robust SCPA antibody responses, accompanied by a rapid influx of neutrophils and high myeloperoxidase activity in NALT, suggesting that simultaneous induction of mucosal Th17 and neutralizing antibody responses offers more effective GAS elimination through rapid infiltration and activation of neutrophils. Moreover, Th17 response was strongly induced in mice that experienced repeated GAS-infection and maintained at a high level even after the bacteria were cleared; whereas, it was moderately induced and promptly returned to baseline following bacterial elimination in SrtA/SCPA co-immunized mice. Additional results showed that the survival rate of systemic challenge was significantly higher in infection experienced than in co-immunized mice, indicating that more immune elements are required for protection against systemic than mucosal GAS infection.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0168861
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0168861&type=printable
- OA Status
- gold
- Cited By
- 13
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2569889565
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- OpenAlex ID
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https://openalex.org/W2569889565Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1371/journal.pone.0168861Digital Object Identifier
- Title
-
Co-Activation of Th17 and Antibody Responses Provides Efficient Protection against Mucosal Infection by Group A StreptococcusWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-12-28Full publication date if available
- Authors
-
Xianyang Chen, Ning Li, Shuai Bi, Xiaoguang Wang, Beinan WangList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pone.0168861Publisher landing page
- PDF URL
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0168861&type=printableDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0168861&type=printableDirect OA link when available
- Concepts
-
Streptococcus pyogenes, Clearance, Heterologous, Antibody, Immune system, Antigen, Immunization, Nasal administration, Biology, Serotype, Microbiology, Immunology, Neutralizing antibody, Bacteria, Virology, Medicine, Gene, Staphylococcus aureus, Genetics, UrologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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13Total citation count in OpenAlex
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2025: 1, 2024: 1, 2023: 1, 2022: 3, 2021: 1Per-year citation counts (last 5 years)
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32Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.suggesting | 164 |
| abstract_inverted_index.accompanied | 151 |
| abstract_inverted_index.delineation | 31 |
| abstract_inverted_index.development | 16 |
| abstract_inverted_index.efficiently | 118 |
| abstract_inverted_index.elimination | 179, 223 |
| abstract_inverted_index.experienced | 138, 196, 243 |
| abstract_inverted_index.infections. | 141 |
| abstract_inverted_index.neutrophils | 157 |
| abstract_inverted_index.autoimmunity | 27 |
| abstract_inverted_index.co-immunized | 112, 226, 246 |
| abstract_inverted_index.heterologous | 61 |
| abstract_inverted_index.hypothesized | 84 |
| abstract_inverted_index.immunization | 52 |
| abstract_inverted_index.infiltration | 182 |
| abstract_inverted_index.intranasally | 111 |
| abstract_inverted_index.neutralizing | 172 |
| abstract_inverted_index.neutrophils. | 186 |
| abstract_inverted_index.simultaneous | 166 |
| abstract_inverted_index.GAS-infection | 198 |
| abstract_inverted_index.Streptococcus | 8 |
| abstract_inverted_index.individually, | 130 |
| abstract_inverted_index.significantly | 239 |
| abstract_inverted_index.Th17-dependent | 58 |
| abstract_inverted_index.co-immunization | 86, 143 |
| abstract_inverted_index.myeloperoxidase | 160 |
| abstract_inverted_index.antibody-mediated | 79 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5100379580, https://openalex.org/A5016964234, https://openalex.org/A5006157764, https://openalex.org/A5100369030, https://openalex.org/A5102950885 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210134982 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.75 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.84611919 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |