The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Identification of strong interleukin‐10 inducing lactic acid bacteria which down‐regulate T helper type 2 cytokines
Abstract
Summary: Background Decreased exposure to microbial stimuli has been proposed to be involved in the increased prevalence of atopic disease. Such a relationship was indicated by enhanced presence of typical probiotic bacteria in the intestinal flora correlating with reduced prevalence of atopic disease. Recent clinical trials suggested that probiotic bacteria may decrease and prevent allergic symptoms, but which (different) species or strains may contribute is poorly understood. Objective We sought to select probiotic bacteria by their ability to modulate in vitro production of cytokines by peripheral blood mononuclear cells (PBMCs), to make a rational choice from available strains. Methods PBMCs, purified monocytes, and lymphocytes from healthy donors were co‐cultured with 13 different strains of probiotic bacteria. The effect of lactic acid bacteria (LAB) on different cell populations and effects on cytokine production induced by the polyclonal T cell stimulator phytohaemagglutinin (PHA) was evaluated by measuring T helper type 1, T helper type 2 (Th2), and regulatory cell cytokines in culture supernatants by multiplex assay. Results PBMCs cultured with different strains produced large amounts of IL‐10 and low levels of IL‐12p70, IL‐5, and IL‐13. In PHA‐stimulated PBMC cultures, the tested strains decreased the production of Th2 cytokines. Neutralizing IL‐10 production resulted in partial to full restoration of Th2 cytokine production and concurred with an increase in pro‐inflammatory cytokines such as IL‐12p70 and TNF‐α. Within the PBMCs, the CD14+ cell fraction was the main source of IL‐10 production upon interaction with LAB. Conclusion Our results indicate that certain strains of lactobacilli and bifidobacteria modulate the production of cytokines by monocytes and lymphocytes, and may divert the immune system in a regulatory or tolerant mode. These specific strains may be favorable to use in prevention or treatment of atopic disease.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hay fever, hygiene, and household size.
Strachan, D. P. (1989) · BMJ · doi:10.1136/bmj.299.6710.1259 · Cited by 5,054
Probiotic immunomodulation in health and disease
Erickson, K. L., & Hubbard, N. E. (2000) · The Journal of Nutrition · doi:10.1093/jn/130.2.403s · Cited by 372
Cited by
Desbonnet, L., Garrett, L., Clarke, G., Bienenstock, J., & Dinan, T. G. (2008) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2008.03.009 · Cited by 952
Probiotics and prebiotics associated with aquaculture: A review
Akhter, N., Wu, B., Memon, A. M., & Mohsin, M. (2015) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2015.05.038 · Cited by 548
How to select a probiotic? A review and update of methods and criteria
de Melo Pereira, G. V., de Oliveira Coelho, B., Magalhães Júnior, A. I., Thomaz-Soccol, V., & Soccol, C. R. (2018) · Biotechnology Advances · doi:10.1016/j.biotechadv.2018.09.003 · Cited by 523
Health‐beneficial effects of probiotics: Its mode of action
OHASHI, Y., & USHIDA, K. (2009) · Animal Science Journal · doi:10.1111/j.1740-0929.2009.00645.x · Cited by 209
Zarrati, M., Salehi, E., Nourijelyani, K., Mofid, V., Zadeh, M. J. H., Najafi, F., Ghaflati, Z., Bidad, K., Chamari, M., Karimi, M., et al. (2014) · Journal of the American College of Nutrition · doi:10.1080/07315724.2013.874937 · Cited by 130
Metadata
- Authors
- Niers, L. E. M., Timmerman, H. M., Rijkers, G. T., van Bleek, G. M., van Uden, N. O. P., Knol, E. F., Kapsenberg, M. L., Kimpen, J. L. L., & Hoekstra, M. O.
- Venue
- Clinical & Experimental Allergy
- Publisher
- Wiley
- Published
- 2005-11
- Volume
- 35
- Issue
- 11
- Pages
- 1481-1489
- ISSN
- 0954-7894 (ISSN-L)
- 1365-2222
- OpenAlex
- W2166289280
- Cited by
- 226
- References
- 2
- FWCI
- 20.89
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Identification of strong interleukin‐10 inducing lactic acid bacteria which down‐regulate T helper type 2 cytokines. https://app.cochat.ai/papers/10.1111/j.1365-2222.2005.02375.x
- The paper
- Niers, L. E. M., Timmerman, H. M., Rijkers, G. T., van Bleek, G. M., van Uden, N. O. P., Knol, E. F., Kapsenberg, M. L., Kimpen, J. L. L., & Hoekstra, M. O. (2005). Identification of strong interleukin‐10 inducing lactic acid bacteria which down‐regulate T helper type 2 cytokines. Clinical & Experimental Allergy. https://doi.org/10.1111/j.1365-2222.2005.02375.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.