The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
Functional Analysis via Standardized Whole-Blood Stimulation Systems Defines the Boundaries of a Healthy Immune Response to Complex Stimuli
Open accessAbstract
Standardization of immunophenotyping procedures has become a high priority. We have developed a suite of whole-blood, syringe-based assay systems that can be used to reproducibly assess induced innate or adaptive immune responses. By eliminating preanalytical errors associated with immune monitoring, we have defined the protein signatures induced by (1) medically relevant bacteria, fungi, and viruses; (2) agonists specific for defined host sensors; (3) clinically employed cytokines; and (4) activators of T cell immunity. Our results provide an initial assessment of healthy donor reference values for induced cytokines and chemokines and we report the failure to release interleukin-1α as a common immunological phenotype. The observed naturally occurring variation of the immune response may help to explain differential susceptibility to disease or response to therapeutic intervention. The implementation of a general solution for assessment of functional immune responses will help support harmonization of clinical studies and data sharing.
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“TruCulture® reproducibly reveals the induced innate and adaptive immune response in whole blood after stimulation, by quantifying the release of soluble immune activation products (cytokines, chemokines, soluble receptors etc.) in the supernatant and by measuring the transcription level (mRNA) in the circulating blood (immune) cells [77].”
Citations
Cites
Defective LPS Signaling in C3H/HeJ and C57BL/10ScCr Mice: Mutations in Tlr4 Gene
Poltorak, A., He, X., Smirnova, I., Liu, M.-Y., Huffel, C. V., Du, X., Birdwell, D., Alejos, E., Silva, M., Galanos, C., et al. (1998) · Science · doi:10.1126/science.282.5396.2085 · Cited by 7,631
A Toll-like receptor recognizes bacterial DNA
Hemmi, H., Takeuchi, O., Kawai, T., Kaisho, T., Sato, S., Sanjo, H., Matsumoto, M., Hoshino, K., Wagner, H., Takeda, K., et al. (2000) · Nature · doi:10.1038/35047123 · Cited by 6,491 · cited 1×
“…the Toll-like receptors (TLRs) (Alexopoulou et al., 2001; Diebold et al., 2004; Gantner et al., 2003; Godaly and Young, 2005; Hayashi et al., 2001; Hemmi et al., 2000, 2002; Jurk et al., 2002; Liu-Bryan et al., 2005; Takeuchi et al., 1999; Zhao et al., 2007), nucleotide-binding domain and…”
BackgroundTakeda, K., Kaisho, T., & Akira, S. (2003) · Annual Review of Immunology · doi:10.1146/annurev.immunol.21.120601.141126 · Cited by 6,143
Recognition of double-stranded RNA and activation of NF-κB by Toll-like receptor 3
Alexopoulou, L., Holt, A. C., Medzhitov, R., & Flavell, R. A. (2001) · Nature · doi:10.1038/35099560 · Cited by 6,129
Gout-associated uric acid crystals activate the NALP3 inflammasome
Martinon, F., Pétrilli, V., Mayor, A., Tardivel, A., & Tschopp, J. (2006) · Nature · doi:10.1038/nature04516 · Cited by 5,326
Differential roles of MDA5 and RIG-I helicases in the recognition of RNA viruses
Kato, H., Takeuchi, O., Sato, S., Yoneyama, M., Yamamoto, M., Matsui, K., Uematsu, S., Jung, A., Kawai, T., Ishii, K. J., et al. (2006) · Nature · doi:10.1038/nature04734 · Cited by 3,888
Takeuchi, O., Hoshino, K., Kawai, T., Sanjo, H., Takada, H., Ogawa, T., Takeda, K., & Akira, S. (1999) · Immunity · doi:10.1016/s1074-7613(00)80119-3 · Cited by 3,680
Mechanisms of type-I- and type-II-interferon-mediated signalling
Platanias, L. C. (2005) · Nature reviews. Immunology · doi:10.1038/nri1604 · Cited by 3,631
The innate immune response to bacterial flagellin is mediated by Toll-like receptor 5
Hayashi, F., Smith, K. D., Ozinsky, A., Hawn, T. R., Yi, E. C., Goodlett, D. R., Eng, J. K., Akira, S., Underhill, D. M., & Aderem, A. A. (2001) · Nature · doi:10.1038/35074106 · Cited by 3,605
Immunological and inflammatory functions of the interleukin-1 family
Dinarello, C. A. (2009) · Annual Review of Immunology · doi:10.1146/annurev.immunol.021908.132612 · Cited by 3,466
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Metadata
- Authors
- Duffy, D., Rouilly, V., Libri, V., Hasan, M., Beitz, B., David, M., Urrutia, A., Bisiaux, A., LaBrie, S. T., Dubois, A., Boneca, I. G., Delval, C., Thomas, S., Rogge, L., Schmolz, M., Quintana-Murci, L., Albert, M. L., Abel, L., Alcover, A., Bousso, P., Cumano, A., Daëron, M., Delval, C., Demangel, C., Deriano, L., Di Santo, J., Dromer, F., Eberl, G., Enninga, J., Freitas, A., Gomperts-Boneca, I., Hercberg, S., Lantz, O., Leclerc, C., Mouquet, H., Pellegrini, S., Pol, S., Rogge, L., Sakuntabhai, A., Schwartz, O., Schwikowski, B., Shorte, S., Soumelis, V., Tangy, F., Tartour, E., Toubert, A., Ungeheuer, M.-N., Quintana-Murci, L., & Albert, M. L.
- Affiliations
- Inserm (FR)
- Institut Pasteur (FR)
- Myriad Genetics (US)
- Centre d’Immunologie de Marseille-Luminy (FR)
- Department of Genomes & Genetics (FR)
- Hôpital Cochin (FR)
- Centre de Recherche sur les Liens Sociaux (FR)
- Hôpital Saint-Louis (FR)
- ORCID
- Duffy, Darragh
- Rouilly, Vincent
- Libri, Valentina
- Hasan, Milena
- Urrutia, Alejandra
- Bisiaux, Aurélie
- Schmolz, Manfred
- Abel, Laurent
- Bousso, Philippe
- Cumano, Ana
- Daëron, Marc
- Demangel, Caroline
- Deriano, Ludovic
- Dromer, Françoise
- Eberl, Gérard
- Enninga, Jost
- Lantz, Olivier
- Leclerc, Claude
- Mouquet, Hugo
- Pellegrini, Sandra
- Pol, Stanislas
- Sakuntabhai, Anavaj
- Schwartz, Olivier
- Schwikowski, Benno
- Shorte, Spencer
- Soumelis, Vassili
- Tangy, Frédéric
- Toubert, Antoine
- Ungeheuer, Marie-Noëlle
- Venue
- Immunity
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 40
- Issue
- 3
- Pages
- 436-450
- ISSN
- 1074-7613 (ISSN-L)
- OpenAlex
- W1984830992
- Cited by
- 242
- References
- 85
- Citations by year
- 2026: 16 · 2025: 14 · 2024: 23 · 2023: 17 · 2022: 34 · 2021: 23 · 2020: 21 · 2019: 18 · 2018: 18 · 2017: 19 · 2016: 13 · 2015: 20 · 2014: 6
- FWCI
- 8.83
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Immunity (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › Immune Response and Inflammation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced Biosensing Techniques and Applications
- Health Sciences › Health Professions › Medical Laboratory Technology › Clinical Laboratory Practices and Quality Control
- Keywords
- innate immune response, adaptive immune response, cytokine signature, chemokines, interleukin-1 alpha, pre-analytical errors, T cell activation, immune response variability
- MeSH terms
- Antigens, Humans, Immunity, Innate, Reference Values, Monitoring, Immunologic, Reproducibility of Results, Cytokines, Inflammation Mediators, Adaptive Immunity, Healthy Volunteers
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