The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Sphingolipid metabolites in inflammatory disease
Open accessAbstract
Sphingolipids are ubiquitous building blocks of eukaryotic cell membranes. Progress in our understanding of sphingolipid metabolism, state-of-the-art sphingolipidomic approaches and animal models have generated a large body of evidence demonstrating that sphingolipid metabolites, particularly ceramide and sphingosine-1-phosphate, are signalling molecules that regulate a diverse range of cellular processes that are important in immunity, inflammation and inflammatory disorders. Recent insights into the molecular mechanisms of action of sphingolipid metabolites and new perspectives on their roles in regulating chronic inflammation have been reported. The knowledge gained in this emerging field will aid in the development of new therapeutic options for inflammatory disorders.
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
Inflammation and metabolic disorders
Hotamisligil, G. S. (2006) · Nature · doi:10.1038/nature05485 · Cited by 9,199
Yamauchi, T., Kamon, J., Minokoshi, Y., Ito, Y., Waki, H., Uchida, S., Yamashita, S., Noda, M., Kita, S., Ueki, K., et al. (2002) · Nature Medicine · doi:10.1038/nm788 · Cited by 4,238
Autophagy in immunity and inflammation
Levine, B., Mizushima, N., & Virgin, H. W. (2011) · Nature · doi:10.1038/nature09782 · Cited by 3,289
Lipidomics reveals a remarkable diversity of lipids in human plasma
Quehenberger, O., Armando, A. M., Brown, A. H., Milne, S. B., Myers, D. S., Merrill, A. H., Bandyopadhyay, S., Jones, K. N., Kelly, S., Shaner, R. L., et al. (2010) · Journal of Lipid Research · doi:10.1194/jlr.m009449 · Cited by 1,341
Skon, C. N., Lee, J.-Y., Anderson, K. G., Masopust, D., Hogquist, K. A., & Jameson, S. C. (2013) · Nature Immunology · doi:10.1038/ni.2745 · Cited by 817
The alliance of sphingosine-1-phosphate and its receptors in immunity
Rivera, J., Proia, R. L., & Olivera, A. (2008) · Nature Reviews Immunology · doi:10.1038/nri2400 · Cited by 616
Liang, J., Nagahashi, M., Kim, E. Y., Harikumar, K. B., Yamada, A., Huang, W.-C., Hait, N. C., Allegood, J. C., Price, M. M., Avni, D., et al. (2013) · Cancer Cell · doi:10.1016/j.ccr.2012.11.013 · Cited by 563
Self-citationWang, Y., Wang, X., Lau, W. B., Yuan, Y., Booth, D., Li, J.-J., Scalia, R., Preston, K., Gao, E., Koch, W., et al. (2014) · Circulation Research · doi:10.1161/circresaha.114.302439 · Cited by 104
Molecular mechanism of sphingosine-1-phosphate action in Duchenne muscular dystrophy
Nguyen-Tran, D.-H., Hait, N. C., Sperber, H., Qi, J., Fischer, K., Ieronimakis, N., Pantoja, M., Hays, A., Allegood, J., Reyes, M., et al. (2013) · Disease Models & Mechanisms · doi:10.1242/dmm.013631 · Cited by 58
Self-citation
Cited by
A guide to immunometabolism for immunologists
O'Neill, L. A. J., Kishton, R. J., & Rathmell, J. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2016.70 · Cited by 3,315
Age and Age-Related Diseases: Role of Inflammation Triggers and Cytokines
Rea, I. M., Gibson, D. S., McGilligan, V., McNerlan, S. E., Alexander, H. D., & Ross, O. A. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00586 · Cited by 1,267
Sphingolipid metabolism in cancer signalling and therapy
Ogretmen, B. (2018) · Nature Reviews Cancer · doi:10.1038/nrc.2017.96 · Cited by 1,207
Metabolic functions of FABPs—mechanisms and therapeutic implications
Hotamisligil, G. S., & Bernlohr, D. A. (2015) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2015.122 · Cited by 712
Molecular Choreography of Acute Exercise
Contrepois, K., Wu, S., Moneghetti, K. J., Hornburg, D., Ahadi, S., Tsai, M.-S., Metwally, A. A., Wei, E., Lee-McMullen, B., Quijada, J. V., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.043 · Cited by 502
Metadata
- Authors
- Maceyka, M., & Spiegel, S.
- Venue
- Nature
- Published
- 2014-06-04
- Volume
- 510
- Issue
- 7503
- Pages
- 58-67
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2158353135
- Cited by
- 1,277
- References
- 9
- FWCI
- 32.37
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Sphingolipid metabolites in inflammatory disease. https://app.cochat.ai/papers/10.1038/nature13475
- The paper
- Maceyka, M., & Spiegel, S. (2014). Sphingolipid metabolites in inflammatory disease. Nature. https://doi.org/10.1038/nature13475
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.