The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Modulation of the Immune Response to Respiratory Viruses by Vitamin D
Open accessAbstract
Background: Vitamin D deficiency has been shown to be independently associated with increased risk of viral acute respiratory infection (ARI) in a number of observational studies, and meta-analysis of clinical trials of vitamin D supplementation for prevention of ARI has demonstrated protective effects. Several cellular studies have investigated the effects of vitamin D metabolites on immune responses to respiratory viruses, but syntheses of these reports are lacking. Scope: In this article, we review the literature reporting results of in vitro experiments investigating immunomodulatory actions of vitamin D metabolites in human respiratory epithelial cells infected with respiratory viruses. Key findings: Vitamin D metabolites do not consistently influence replication or clearance of rhinovirus, respiratory syncytial virus (RSV) or influenza A virus in human respiratory epithelial cell culture, although they do modulate expression and secretion of type 1 interferon, chemokines including CXCL8 and CXCL10 and pro-inflammatory cytokines, such as TNF and IL-6. Future research: More studies are needed to clarify the effects of vitamin D metabolites on respiratory virus-induced expression of cell surface markers mediating viral entry and bacterial adhesion to respiratory epithelial cells.
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
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
Defensins: antimicrobial peptides of innate immunity
Ganz, T. (2003) · Nature Reviews Immunology · doi:10.1038/nri1180 · Cited by 3,066
RIG-I-mediated antiviral responses to single-stranded RNA bearing 5’-phosphates
Pichlmair, A., Schulz, O., Tan, C. P., Näslund, T. I., Liljeström, P., Weber, F., & Reis e Sousa, C. (2006) · Science · doi:10.1126/science.1132998 · Cited by 2,210
Efficacy and effectiveness of influenza vaccines: a systematic review and meta-analysis
Osterholm, M. T., Kelley, N. S., Sommer, A., & Belongia, E. A. (2012) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(11)70295-x · Cited by 1,789
Signaling in innate immunity and inflammation
Newton, K., & Dixit, V. M. (2012) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a006049 · Cited by 1,513
CCR7 and its ligands: balancing immunity and tolerance
Förster, R., Davalos-Misslitz, A. C., & Rot, A. (2008) · Nature Reviews Immunology · doi:10.1038/nri2297 · Cited by 1,410
Interleukin-17 and Type 17 Helper T Cells
Miossec, P., Korn, T., & Kuchroo, V. K. (2009) · New England Journal of Medicine · doi:10.1056/nejmra0707449 · Cited by 1,409
Sadeghi, K., Wessner, B., Laggner, U., Ploder, M., Tamandl, D., Friedl, J., Zügel, U., Steinmeyer, A., Pollak, A., Roth, E., et al. (2006) · European Journal of Immunology · doi:10.1002/eji.200425995 · Cited by 513
Bergman, P., Lindh, Å. U., Björkhem-Bergman, L., & Lindh, J. D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065835 · Cited by 429
Frequency and natural history of rhinovirus infections in adults during autumn
Arruda, E., Pitkäranta, A., Witek, T. J., Doyle, C. A., & Hayden, F. G. (1997) · Journal of Clinical Microbiology · doi:10.1128/jcm.35.11.2864-2868.1997 · Cited by 346
Cited by
Martineau, A. R., Jolliffe, D. A., Hooper, R. L., Greenberg, L., Aloia, J. F., Bergman, P., Dubnov-Raz, G., Esposito, S., Ganmaa, D., Ginde, A. A., et al. (2017) · BMJ · doi:10.1136/bmj.i6583 · Cited by 2,040
Self-citationCalder, P., Carr, A., Gombart, A., & Eggersdorfer, M. (2020) · Nutrients · doi:10.3390/nu12041181 · Cited by 972
Jolliffe, D. A., Camargo, C. A., Sluyter, J. D., Aglipay, M., Aloia, J. F., Ganmaa, D., Bergman, P., Bischoff-Ferrari, H. A., Borzutzky, A., Damsgaard, C. T., et al. (2021) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(21)00051-6 · Cited by 547
Self-citationMattioli, A. V., Sciomer, S., Cocchi, C., Maffei, S., & Gallina, S. (2020) · Nutrition, Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2020.05.020 · Cited by 540
The Role of Nutrition in COVID-19 Susceptibility and Severity of Disease: A Systematic Review
James, P. T., Ali, Z., Armitage, A. E., Bonell, A., Cerami, C., Drakesmith, H., Jobe, M., Jones, K. S., Liew, Z., Moore, S. E., et al. (2021) · The Journal of Nutrition · doi:10.1093/jn/nxab059 · Cited by 147
Parisi, G. F., Carota, G., Castruccio Castracani, C., Spampinato, M., Manti, S., Papale, M., Di Rosa, M., Barbagallo, I., & Leonardi, S. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22052465 · Cited by 43
Zhu, Z., Zhu, X., Gu, L., Zhan, Y., Chen, L., & Li, X. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2021.799709 · Cited by 33
Metadata
- Authors
- Greiller, C., & Martineau, A.
- Venue
- Nutrients
- Publisher
- MDPI AG
- Published
- 2015-05-29
- Volume
- 7
- Issue
- 6
- Pages
- 4240-4270
- ISSN
- 2072-6643 (ISSN-L)
- OpenAlex
- W2137836062
- Cited by
- 469
- References
- 13
- FWCI
- 8.72
- Type
- journal article
- Language
- en
- Open access
- gold
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
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.
