The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Disruption of Abcg5 and Abcg8 in mice reveals their crucial role in biliary cholesterol secretion
Open accessAbstract
Cholesterol and other sterols exit the body primarily by secretion into bile. In patients with sitosterolemia, mutations in either of two ATP-binding cassette (ABC) half-transporters, ABCG5 or ABCG8, lead to reduced secretion of sterols into bile, implicating these transporters in this process. To elucidate the roles of ABCG5 and ABCG8 in the trafficking of sterols, we disrupted Abcg5 and Abcg8 in mice ( G5G8 −/− ). The G5G8 −/− mice had a 2- to 3-fold increase in the fractional absorption of dietary plant sterols, which was associated with an ≈30-fold increase in plasma sitosterol. Biliary cholesterol concentrations were extremely low in the G5G8 −/− mice when compared with wild-type animals (mean = 0.4 vs. 5.5 μmol/ml) and increased only modestly with cholesterol feeding. Plasma and liver cholesterol levels were reduced by 50% in the chow-fed G5G8 −/− mice and increased 2.4- and 18-fold, respectively, after cholesterol feeding. These data indicate that ABCG5 and ABCG8 are required for efficient secretion of cholesterol into bile and that disruption of these genes increases dramatically the responsiveness of plasma and hepatic cholesterol levels to changes in dietary cholesterol content.
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
Liang, G., Yang, J., Horton, J. D., Hammer, R. E., Goldstein, J. L., & Brown, M. S. (2002) · Journal of Biological Chemistry · doi:10.1074/jbc.m111421200 · Cited by 669
Self-citation
Cited by
Khovidhunkit, W., Kim, M.-S., Memon, R. A., Shigenaga, J. K., Moser, A. H., Feingold, K. R., & Grunfeld, C. (2004) · Journal of Lipid Research · doi:10.1194/jlr.r300019-jlr200 · Cited by 1,481
Godoy, P., Hewitt, N. J., Albrecht, U., Andersen, M. E., Ansari, N., Bhattacharya, S., Bode, J. G., Bolleyn, J., Borner, C., Böttger, J., et al. (2013) · Archives of Toxicology · doi:10.1007/s00204-013-1078-5 · Cited by 1,280
Dietschy, J. M., & Turley, S. D. (2004) · Journal of Lipid Research · doi:10.1194/jlr.r400004-jlr200 · Cited by 1,095
Liver X receptors as integrators of metabolic and inflammatory signaling
Zelcer, N. (2006) · Journal of Clinical Investigation · doi:10.1172/jci27883 · Cited by 978
Iqbal, J., & Hussain, M. M. (2009) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.90899.2008 · Cited by 811
Portincasa, P., Moschetta, A., & Palasciano, G. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69044-2 · Cited by 643
Liver X receptors in lipid metabolism: opportunities for drug discovery
Hong, C., & Tontonoz, P. (2014) · Nature Reviews Drug Discovery · doi:10.1038/nrd4280 · Cited by 587
Regulation of intestinal lipid metabolism: current concepts and relevance to disease
Ko, C.-W., Qu, J., Black, D. D., & Tso, P. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0250-7 · Cited by 510
Monogenic hypercholesterolemia: new insights in pathogenesis and treatment
Rader, D. J., Cohen, J., & Hobbs, H. H. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200318925 · Cited by 450
Self-citationATP-Binding Cassette Cholesterol Transporters and Cardiovascular Disease
Oram, J. F., & Vaughan, A. M. (2006) · Circulation Research · doi:10.1161/01.res.0000250171.54048.5c · Cited by 411
The TMAO-Generating Enzyme Flavin Monooxygenase 3 Is a Central Regulator of Cholesterol Balance
Warrier, M., Shih, D. M., Burrows, A. C., Ferguson, D., Gromovsky, A. D., Brown, A. L., Marshall, S., McDaniel, A., Schugar, R. C., Wang, Z., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2014.12.036 · Cited by 414
Niemann-Pick C1-Like 1 (NPC1L1) Protein in Intestinal and Hepatic Cholesterol Transport
Jia, L., Betters, J. L., & Yu, L. (2011) · Annual Review of Physiology · doi:10.1146/annurev-physiol-012110-142233 · Cited by 356
Self-citationCoordination of inflammation and metabolism by PPAR and LXR nuclear receptors
Hong, C., & Tontonoz, P. (2008) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2008.07.016 · Cited by 253
Mechanisms for cellular cholesterol transport: Defects and human disease
Ikonen, E. (2006) · Physiological Reviews · doi:10.1152/physrev.00022.2005 · Cited by 229
Expression of ABCG5 and ABCG8 Is Required for Regulation of Biliary Cholesterol Secretion
Yu, L., Gupta, S., Xu, F., Liverman, A. D. B., Moschetta, A., Mangelsdorf, D. J., Repa, J. J., Hobbs, H. H., & Cohen, J. C. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m411080200 · Cited by 192
Self-citationAllen, R. M., Marquart, T. J., Albert, C. J., Suchy, F. J., Wang, D. Q. ‐., Ananthanarayanan, M., Ford, D. A., & Baldán, Á. (2012) · EMBO Molecular Medicine · doi:10.1002/emmm.201201228 · Cited by 159
Xie, C., Lund, E. G., Turley, S. D., Russell, D. W., & Dietschy, J. M. (2003) · Journal of Lipid Research · doi:10.1194/jlr.m300164-jlr200 · Cited by 159
Space-time logic of liver gene expression at sub-lobular scale
Droin, C., Kholtei, J. E., Bahar Halpern, K., Hurni, C., Rozenberg, M., Muvkadi, S., Itzkovitz, S., & Naef, F. (2021) · Nature Metabolism · doi:10.1038/s42255-020-00323-1 · Cited by 148
Molecular Pathways Underlying Cholesterol Homeostasis
Afonso, M. S., Machado, R. M., Lavrador, M., Quintao, E. C. R., Moore, K., & Lottenberg, A. (2018) · Nutrients · doi:10.3390/nu10060760 · Cited by 138
Boyer, J. L. (2013) · Comprehensive Physiology · doi:10.1002/j.2040-4603.2013.tb00519.x · Cited by 124
GPR146 Deficiency Protects against Hypercholesterolemia and Atherosclerosis
Yu, H., Rimbert, A., Palmer, A. E., Toyohara, T., Xia, Y., Xia, F., Ferreira, L. M. R., Chen, Z., Chen, T., Loaiza, N., et al. (2019) · Cell · doi:10.1016/j.cell.2019.10.034 · Cited by 113
Ross, S., D’Mello, M., Anand, S. S., Eikelboom, J., CARDIoGRAMplusC4D Consortium*, Stewart, A. F. R., Samani, N. J., Roberts, R., & Paré, G. (2015) · Circulation: Cardiovascular Genetics · doi:10.1161/circgenetics.114.000952 · Cited by 90
FGF21 reverses MASH through coordinated actions on the CNS and liver
Rose, J. P., Morgan, D. A., Sullivan, A. I., Fu, X., Inigo-Vollmer, M., Burgess, S. C., Meyerholz, D. K., Rahmouni, K., & Potthoff, M. J. (2025) · Cell Metabolism · doi:10.1016/j.cmet.2025.04.014 · Cited by 75
Plummer, A. M., Culbertson, A. T., & Liao, M. (2021) · Annual Review of Physiology · doi:10.1146/annurev-physiol-031620-094944 · Cited by 60
Structures of dimeric human NPC1L1 provide insight into mechanisms for cholesterol absorption
Long, T., Liu, Y., Qin, Y., DeBose-Boyd, R. A., & Li, X. (2021) · Science Advances · doi:10.1126/sciadv.abh3997 · Cited by 36
Schmidt, S., Willers, J., Stahl, F., Mutz, K.-O., Scheper, T., Hahn, A., & Schuchardt, J. P. (2012) · Lipids in Health and Disease · doi:10.1186/1476-511x-11-172 · Cited by 31
Xie, P., Zhu, H., Jia, L., Ma, Y., Tang, W., Wang, Y., Xue, B., Shi, H., & Yu, L. (2014) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2014.09.036 · Cited by 24
Self-citation
Metadata
- Authors
- Yu, L., Hammer, R. E., Li-Hawkins, J., von Bergmann, K., Lutjohann, D., Cohen, J. C., & Hobbs, H. H.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2002-11-20
- Volume
- 99
- Issue
- 25
- Pages
- 16237-16242
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2027663543
- Cited by
- 712
- References
- 1
- FWCI
- 41.74
- 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.