The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Metabolic Messengers: ceramides
Open accessAbstract
Ceramides are products of metabolism that accumulate in individuals with obesity or dyslipidaemia and alter cellular processes in response to fuel surplus. Their actions, when prolonged, elicit the tissue dysfunction that underlies diabetes and heart disease. Here, we review the history of research on these enigmatic molecules, exploring their discovery and mechanisms of action, the evolutionary pressures that have given them their unique attributes and the potential of ceramide-reduction therapies as treatments for cardiometabolic disease. Ceramides are bioactive lipids that regulate cellular signalling processes and metabolic pathways, and are implicated in various metabolic diseases. Here, Summers, Chaurasia and Holland provide a concise overview of the history of ceramides and their physiological roles, mechanisms of action and therapeutic potential.
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
TLR4 links innate immunity and fatty acid-induced insulin resistance
Shi, H., Kokoeva, M. V., Inouye, K., Tzameli, I., Yin, H., & Flier, J. S. (2006) · Journal of Clinical Investigation · doi:10.1172/jci28898 · Cited by 3,690
Local and systemic insulin resistance resulting from hepatic activation of IKK-β and NF-κB
Cai, D., Yuan, M., Frantz, D. F., Melendez, P. A., Hansen, L., Lee, J., & Shoelson, S. E. (2005) · Nature Medicine · doi:10.1038/nm1166 · Cited by 2,245
Holland, W. L., Brozinick, J. T., Wang, L.-P., Hawkins, E. D., Sargent, K. M., Liu, Y., Narra, K., Hoehn, K. L., Knotts, T. A., Siesky, A., et al. (2007) · Cell Metabolism · doi:10.1016/j.cmet.2007.01.002 · Cited by 1,232
Self-citationFatty acid-induced β cell apoptosis: A link between obesity and diabetes
Shimabukuro, M., Zhou, Y.-T., Levi, M., & Unger, R. H. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.5.2498 · Cited by 1,142
Lipotoxicity and the gut-liver axis in NASH pathogenesis
Marra, F., & Svegliati-Baroni, G. (2018) · Journal of Hepatology · doi:10.1016/j.jhep.2017.11.014 · Cited by 847
Prevention of fat-induced insulin resistance by salicylate
Kim, J. K., Kim, Y.-J., Fillmore, J. J., Chen, Y., Moore, I., Lee, J., Yuan, M., Li, Z. W., Karin, M., Perret, P., et al. (2001) · Journal of Clinical Investigation · doi:10.1172/jci11559 · Cited by 737
Intestine-selective farnesoid X receptor inhibition improves obesity-related metabolic dysfunction
Jiang, C., Xie, C., Lv, Y., Li, J., Krausz, K. W., Shi, J., Brocker, C. N., Desai, D., Amin, S. G., Bisson, W. H., et al. (2015) · Nature Communications · doi:10.1038/ncomms10166 · Cited by 559
Chavez, J. A., & Summers, S. A. (2003) · Archives of Biochemistry and Biophysics · doi:10.1016/j.abb.2003.08.020 · Cited by 498
Self-citationLuukkonen, P. K., Sädevirta, S., Zhou, Y., Kayser, B., Ali, A., Ahonen, L., Lallukka, S., Pelloux, V., Gaggini, M., Jian, C., et al. (2018) · Diabetes Care · doi:10.2337/dc18-0071 · Cited by 428
Role of diacylglycerol activation of PKCθ in lipid-induced muscle insulin resistance in humans
Szendroedi, J., Yoshimura, T., Phielix, E., Koliaki, C., Marcucci, M., Zhang, D., Jelenik, T., Müller, J., Herder, C., Nowotny, P., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1409229111 · Cited by 415
Cited by
Metabolomics and lipidomics in NAFLD: biomarkers and non-invasive diagnostic tests
Masoodi, M., Gastaldelli, A., Hyötyläinen, T., Arretxe, E., Alonso, C., Gaggini, M., Brosnan, J., Anstee, Q. M., Millet, O., Ortiz, P., et al. (2021) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-021-00502-9 · Cited by 451
Genome–microbiome interplay provides insight into the determinants of the human blood metabolome
Diener, C., Dai, C. L., Wilmanski, T., Baloni, P., Smith, B., Rappaport, N., Hood, L., Magis, A. T., & Gibbons, S. M. (2022) · Nature Metabolism · doi:10.1038/s42255-022-00670-1 · Cited by 102
Gu, X., Kang, H., Cao, S., Tong, Z., & Song, N. (2025) · Translational Research · doi:10.1016/j.trsl.2024.10.002 · Cited by 28
Pharmacometabolomic profiles in type 2 diabetic subjects treated with liraglutide or glimepiride
Jendle, J., Hyötyläinen, T., Orešič, M., & Nyström, T. (2021) · Cardiovascular Diabetology · doi:10.1186/s12933-021-01431-2 · Cited by 27
Structural basis of the mechanism and inhibition of a human ceramide synthase
Pascoa, T. C., Pike, A. C. W., Tautermann, C. S., Chi, G., Traub, M., Quigley, A., Chalk, R., Štefanić, S., Thamm, S., Pautsch, A., et al. (2025) · Nature Structural & Molecular Biology · doi:10.1038/s41594-024-01414-3 · Cited by 25
Hepowit, N. L., Moon, B., Ebert, A. C., Dickson, R. C., & MacGurn, J. A. (2023) · Journal of Cell Science · doi:10.1242/jcs.260675 · Cited by 18
Fiorenza, M., Checa, A., Sandsdal, R. M., Jensen, S. B. K., Juhl, C. R., Noer, M. H., Bogh, N. P., Lundgren, J. R., Janus, C., Stallknecht, B. M., et al. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101629 · Cited by 14
Metadata
- Authors
- Summers, S. A., Chaurasia, B., & Holland, W. L.
- Venue
- Nature Metabolism
- Published
- 2019-10-24
- Volume
- 1
- Issue
- 11
- Pages
- 1051-1058
- ISSN
- 2522-5812 (ISSN-L)
- OpenAlex
- W2981562683
- Cited by
- 299
- References
- 16
- FWCI
- 7.02
- Type
- journal article
- Language
- en
- Open access
- green
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.
