The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
MicroRNA-30c reduces hyperlipidemia and atherosclerosis in mice by decreasing lipid synthesis and lipoprotein secretion
Open accessAbstract
Hyperlipidemia is a risk factor for various cardiovascular and metabolic disorders. Overproduction of lipoproteins, a process that is dependent on microsomal triglyceride transfer protein (MTP), can contribute to hyperlipidemia. We show that microRNA-30c (miR-30c) interacts with the 3′ untranslated region of MTP mRNA and induces its degradation, leading to reductions in MTP activity and in apolipoprotein B (APOB) secretion. miR-30c also reduces lipid synthesis independently of MTP. Hepatic overexpression of miR-30c reduced hyperlipidemia in Western diet–fed mice by decreasing lipid synthesis and the secretion of triglyceride-rich ApoB-containing lipoproteins and decreased atherosclerosis in Apoe−/− mice. Furthermore, inhibition of hepatic miR-30c by anti–miR-30c increased hyperlipidemia and atherosclerosis. Therefore, miR-30c coordinately reduces lipid biosynthesis and lipoprotein secretion, thereby regulating hepatic and plasma lipid concentrations. Raising miR-30c levels might be useful in treating hyperlipidemias and associated 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
A SIMPLE METHOD FOR THE ISOLATION AND PURIFICATION OF TOTAL LIPIDES FROM ANIMAL TISSUES
Folch, J., Lees, M., & Stanley, G. H. S. (1957) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)64849-5 · Cited by 65,189
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
Grundy, S. M., Cleeman, J. I., Merz, C. N. B., Brewer, H. B., Clark, L. T., Hunninghake, D. B., Pasternak, R. C., Smith, S. C., & Stone, N. J. (2004) · Circulation · doi:10.1161/01.cir.0000133317.49796.0e · Cited by 6,902
Identification of Novel Genes Coding for Small Expressed RNAs
Lagos-Quintana, M., Rauhut, R., Lendeckel, W., & Tuschl, T. (2001) · Science · doi:10.1126/science.1064921 · Cited by 4,956
Identification of tissue-specific microRNAs from mouse
Lagos-Quintana, M., Rauhut, R., Yalcin, A., Meyer, J., Lendeckel, W., & Tuschl, T. (2002) · Current Biology · doi:10.1016/s0960-9822(02)00809-6 · Cited by 3,355
Heidenreich, P. A., Trogdon, J. G., Khavjou, O. A., Butler, J., Dracup, K., Ezekowitz, M. D., Finkelstein, E. A., Hong, Y., Johnston, S. C., Khera, A., et al. (2011) · Circulation · doi:10.1161/cir.0b013e31820a55f5 · Cited by 3,208
MiR-33 Contributes to the Regulation of Cholesterol Homeostasis
Rayner, K. J., Suárez, Y., Dávalos, A., Parathath, S., Fitzgerald, M. L., Tamehiro, N., Fisher, E. A., Moore, K. J., & Fernández-Hernando, C. (2010) · Science · doi:10.1126/science.1189862 · Cited by 1,260
MicroRNAs 103 and 107 regulate insulin sensitivity
Trajkovski, M., Hausser, J., Soutschek, J., Bhat, B., Akin, A., Zavolan, M., Heim, M. H., & Stoffel, M. (2011) · Nature · doi:10.1038/nature10112 · Cited by 1,000
MicroRNA-33 and the SREBP Host Genes Cooperate to Control Cholesterol Homeostasis
Najafi-Shoushtari, S. H., Kristo, F., Li, Y., Shioda, T., Cohen, D. E., Gerszten, R. E., & Näär, A. M. (2010) · Science · doi:10.1126/science.1189123 · Cited by 957
Cited by
Extracellular miRNAs: From Biomarkers to Mediators of Physiology and Disease
Mori, M. A., Ludwig, R. G., Garcia-Martin, R., Brandão, B. B., & Kahn, C. R. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.07.011 · Cited by 961
Trends in insulin resistance: insights into mechanisms and therapeutic strategy
Li, M., Chi, X., Wang, Y., Setrerrahmane, S., Xie, W., & Xu, H. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01073-0 · Cited by 939
Wolf, T., Baier, S. R., & Zempleni, J. (2015) · The Journal of Nutrition · doi:10.3945/jn.115.218586 · Cited by 364
MicroRNA-mediated regulation of glucose and lipid metabolism
Agbu, P., & Carthew, R. W. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00354-w · Cited by 363
MicroRNA-148a regulates LDL receptor and ABCA1 expression to control circulating lipoprotein levels
Goedeke, L., Rotllan, N., Canfrán-Duque, A., Aranda, J. F., Ramírez, C. M., Araldi, E., Lin, C.-S., Anderson, N. N., Wagschal, A., de Cabo, R., et al. (2015) · Nature Medicine · doi:10.1038/nm.3949 · Cited by 238
Metadata
- Authors
- Soh, J., Iqbal, J., Queiroz, J., Fernandez-Hernando, C., & Hussain, M. M.
- Venue
- Nature Medicine
- Published
- 2013-06-09
- Volume
- 19
- Issue
- 7
- Pages
- 892-900
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W2007381960
- Cited by
- 301
- References
- 42
- FWCI
- 26.64
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: MicroRNA-30c reduces hyperlipidemia and atherosclerosis in mice by decreasing lipid synthesis and lipoprotein secretion. https://app.cochat.ai/papers/10.1038/nm.3200
- The paper
- Soh, J., Iqbal, J., Queiroz, J., Fernandez-Hernando, C., & Hussain, M. M. (2013). MicroRNA-30c reduces hyperlipidemia and atherosclerosis in mice by decreasing lipid synthesis and lipoprotein secretion. Nature Medicine. https://doi.org/10.1038/nm.3200
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.
