| Literature DB >> 26101780 |
Shu Ki Tsoi1, Pierre R Smeesters2, Hannah R C Frost1, Paul Licciardi3, Andrew C Steer4.
Abstract
Group A streptococcus (GAS) is known to cause a broad spectrum of illness, from pharyngitis and impetigo, to autoimmune sequelae such as rheumatic heart disease, and invasive diseases. It is a significant cause of infectious disease morbidity and mortality worldwide, but no efficacious vaccine is currently available. Progress in GAS vaccine development has been hindered by a number of obstacles, including a lack of standardization in immunoassays and the need to define human correlates of protection. In this review, we have examined the current immunoassays used in both GAS and other organisms, and explored the various challenges in their implementation in order to propose potential future directions to identify a correlate of protection and facilitate the development of M protein-based vaccines, which are currently the main GAS vaccine candidates.Entities:
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Year: 2015 PMID: 26101780 PMCID: PMC4458553 DOI: 10.1155/2015/167089
Source DB: PubMed Journal: J Immunol Res ISSN: 2314-7156 Impact factor: 4.818
Figure 1Schematic representation of incidence of group A streptococcal diseases by age using data from epidemiological reports [27, 30–33].
Figure 2Process of immunity and correlates of protection. Immune markers 1 and 2 (IM-1, IM-2) are correlates of protection, but only IM-1 is a surrogate. Arrows imply direct causal relationships. Figure adapted from WHO [34].
Advantages and disadvantages of different immunoassays currently utilized in GAS research.
| Immunoassay | Advantages | Disadvantages |
|---|---|---|
| ELISA | High-throughput | May measure non-functional antibodies |
| Easily standardized | ||
| Reproducible | ||
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| Bactericidal assays | Measures functional antibodies | Labour-intensive |
| Inter-assay variability | ||
| Use of whole human blood imposes two hour time restriction | ||
| No controls for DBT | ||
Variations across methods used in performing the indirect bactericidal test.
| Assay component | Variations | Reference(s) |
|---|---|---|
| Bacteria growth phase | Stationary | [ |
| (Mid)logarithmic | [ | |
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| Bacterial dilution | 10−4 with 1 : 4 serial dilution | [ |
| 10−4 with 1 : 7 serial dilution | [ | |
| 10−5 with 1 : 4 serial dilution | [ | |
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| Growth media | Todd-Hewitt broth only | [ |
| Todd-Hewitt broth + 20% normal calf/horse serum | [ | |
| Serum broth | [ | |
| Addition of 1% neopeptone | [ | |
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| ||
| Serum | Heat inactivation | [ |
Various modifications attempted with the Streptococcus pneumoniae HL-60 OPA.
| Modification | Details | Advantages | Disadvantages | Reference(s) |
|---|---|---|---|---|
| Baby rabbit complement (BRC) 3-4 weeks | The use of BRC was compared with human complement for six serotypes and no significant difference found | BRC is easier to obtain | [ | |
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| Radiolabelled or fluorescence-labelled bacteria | Bacteria were radiolabelled or fluorescence-labelled and then flow cytometry analysis used to automatically quantify phagocytosis | Increases throughput of assay | Poor sensitivity in infants with low antibody concentrations | [ |
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| Testing multiple serotypes simultaneously | Pneumococci serotypes were modified to be resistant to a different antibiotic each. Strains were tested as one bacterial sample then plated on selective media. Twofold, fourfold and sevenfold multispecificity OPAs were performed | Decreases amount of serum and other materials required | Theoretical concern of increasing antibiotic resistance and creating a “superbug,” although the antibiotics chosen for the assay are not used clinically | [ |
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| Automated colony counting | Colonies were stained with 2,3,5-triphenyl tetrazolium chloride dye in an agar overlay for contrast and then counted with an automatic colony counter | Increases throughput of assay (reduces counting time from hours to 2-3 minutes) | [ | |
Previous GAS human challenge studies. CFU/mL: colony-forming units per millilitre.
| Year | Strain | Dose (CFU/mL) | Number of participants | Number of not vaccinated | Clinical illness in nonvaccine group | Reference |
|---|---|---|---|---|---|---|
| 1971 | M1 | 4 × 106 | 50 | 25 | 52% | [ |
| 1973 | M1 | 4 × 106 | 44 | 23 | 74% | [ |
| 1975 | M3, M12 | 5 × 106 | 84 | 36 | 44% | [ |