The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
A Mouse Model of Metabolic Syndrome: Insulin Resistance, Fatty Liver and Non-Alcoholic Fatty Pancreas Disease (NAFPD) in C57BL/6 Mice Fed a High Fat Diet
Open accessAbstract
Diet-induced obesity in C57BL/6 mice triggers common features of human metabolic syndrome (MetS). The purpose is to assess the suitability of a diet-induced obesity model for investigating non-alcoholic fatty pancreatic disease (NAFPD), fatty liver and insulin resistance. Adult C57BL/6 mice were fed either high-fat chow (HFC, 60% fat) or standard chow (SC, 10% fat) during a 16-week period. We evaluated in both groups: hepatopancreatic injuries, pancreatic islets size, alpha and beta-cell immunodensities, intraperitoneal insulin tolerance test (IPITT) and oral glucose tolerance test (OGTT). The HFC mice displayed greater mass gain (p<0.0001) and total visceral fat pads (p<0.001). OGTT showed impairment of glucose clearance in HFC mice (p<0.0001). IPITT revealed insulin resistance in HFC mice (p<0.0001). The HFC mice showed larger pancreatic islet size and significantly greater alpha and beta-cell immunodensities than SC mice. Pancreas and liver from HFC were heavier and contained higher fat concentration. In conclusion, C57BL/6 mice fed a high-fat diet develop features of NAFPD. Insulin resistance and ectopic accumulation of hepatic fat are well known to occur in MetS. Additionally, the importance of fat accumulation in the pancreas has been recently highlighted. Therefore, this model could help to elucidate target organ alterations associated with metabolic syndrome.
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
Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423
Reeves, P. G., Nielsen, F. H., & Fahey, G. C. (1993) · The Journal of Nutrition · doi:10.1093/jn/123.11.1939 · Cited by 8,709
Adipose Tissue as an Endocrine Organ
Kershaw, E. E., & Flier, J. S. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-0395 · Cited by 5,522
Yamauchi, T., Kamon, J., Waki, H., Terauchi, Y., Kubota, N., Hara, K., Mori, Y., Ide, T., Murakami, K., Tsuboyama-Kasaoka, N., et al. (2001) · Nature Medicine · doi:10.1038/90984 · Cited by 4,915
Adipose Tissue as an Endocrine Organ
Ahima, R. S., & Flier, J. S. (2000) · Trends in Endocrinology & Metabolism · doi:10.1016/s1043-2760(00)00301-5 · Cited by 1,608
High‐fat Diets: Modeling the Metabolic Disorders of Human Obesity in Rodents
Buettner, R., Schölmerich, J., & Bollheimer, L. C. (2007) · Obesity · doi:10.1038/oby.2007.608 · Cited by 1,231
Chitturi, S., Abeygunasekera, S., Farrell, G. C., Holmes-Walker, J., Hui, J. M., Fung, C., Karim, R., Lin, R., Samarasinghe, D., Liddle, C., et al. (2002) · Hepatology · doi:10.1053/jhep.2002.30692 · Cited by 1,122
Adipocyte Death, Adipose Tissue Remodeling, and Obesity Complications
Strissel, K. J., Stancheva, Z., Miyoshi, H., Perfield, J. W., DeFuria, J., Jick, Z., Greenberg, A. S., & Obin, M. S. (2007) · Diabetes · doi:10.2337/db07-0767 · Cited by 1,007
Lee, Y., Hirose, H., Ohneda, M., Johnson, J. H., McGarry, J. D., & Unger, R. H. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.23.10878 · Cited by 836
Fatty Liver: A Novel Component of the Metabolic Syndrome
Kotronen, A., & Yki-Järvinen, H. (2008) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.107.147538 · Cited by 797
Cited by
Evans, C. C., LePard, K. J., Kwak, J. W., Stancukas, M. C., Laskowski, S., Dougherty, J., Moulton, L., Glawe, A., Wang, Y., Leone, V., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092193 · Cited by 587
Yan, H., Diao, H., Xiao, Y., Li, W., Yu, B., He, J., Yu, J., Zheng, P., Mao, X., Luo, Y., et al. (2016) · Scientific Reports · doi:10.1038/srep31786 · Cited by 138
Ludgero-Correia, A., Aguila, M. B., Mandarim-de-Lacerda, C. A., & Faria, T. S. (2012) · Nutrition · doi:10.1016/j.nut.2011.07.014 · Cited by 121
Self-citationCatta-Preta, M., Martins, M. A., Cunha Brunini, T. M., Mendes-Ribeiro, A. C., Mandarim-de-Lacerda, C. A., & Aguila, M. B. (2012) · Nutrition · doi:10.1016/j.nut.2011.05.011 · Cited by 83
Self-citationThe renin-angiotensin system as a target to solve the riddle of endocrine pancreas homeostasis
Graus-Nunes, F., & Souza-Mello, V. (2019) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2018.10.191 · Cited by 43
Metadata
- Authors
- Fraulob, J. C., Ogg-Diamantino, R., Fernandes-Santos, C., Aguila, M. B., & Mandarim-de-Lacerda, C. A.
- Venue
- Journal of Clinical Biochemistry and Nutrition
- Published
- 2010
- Volume
- 46
- Issue
- 3
- Pages
- 212-223
- ISSN
- 0912-0009 (ISSN-L)
- 1880-5086
- OpenAlex
- W2059553551
- Cited by
- 448
- References
- 51
- FWCI
- 11.67
- 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: A Mouse Model of Metabolic Syndrome: Insulin Resistance, Fatty Liver and Non-Alcoholic Fatty Pancreas Disease (NAFPD) in C57BL/6 Mice Fed a High Fat Diet. https://app.cochat.ai/papers/10.3164/jcbn.09-83
- The paper
- Fraulob, J. C., Ogg-Diamantino, R., Fernandes-Santos, C., Aguila, M. B., & Mandarim-de-Lacerda, C. A. (2010). A Mouse Model of Metabolic Syndrome: Insulin Resistance, Fatty Liver and Non-Alcoholic Fatty Pancreas Disease (NAFPD) in C57BL/6 Mice Fed a High Fat Diet. Journal of Clinical Biochemistry and Nutrition. https://doi.org/10.3164/jcbn.09-83
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.
