The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Diet-induced obesity in animal models: points to consider and influence on metabolic markers
Open accessAbstract
Overweight and obesity are a worldwide public health problem. Obesity prevalence has increased considerably, which indicates the need for more studies to better understand these diseases and related complications. Diet induced-obesity (DIO) animal models can reproduce human overweight and obesity, and there are many protocols used to lead to excess fat deposition. So, the purpose of this review was to identify the key points for the induction of obesity through diet, as well as identifying which are the necessary endpoints to be achieved when inducing fat gain. For this, we reviewed the literature in the last 6 years, looking for original articles that aimed to induce obesity through the diet. All articles evaluated should have a control group, in order to verify the results found, and had worked with Sprague–Dawley and Wistar rats, or with C57BL-/-6 mice strain. Articles that induced obesity by other methods, such as genetic manipulation, surgery, or drugs were excluded, since our main objective was to identify key points for the induction of obesity through diet. Articles in humans, in cell culture, in non-rodent animals, as well as review articles, articles that did not have obesity induction and book chapters were also excluded. Body weight and fat gain, as well as determinants related to inflammation, hormonal concentration, blood glycemia, lipid profile, and liver health, must be evaluated together to better determination of the development of obesity. In addition, to select the best model in each circumstance, it should be considered that each breed and sex respond differently to diet-induced obesity. The composition of the diet and calorie overconsumption are also relevant to the development of obesity. Finally, it is important that a non-obese control group is included in the experimental design.
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
Acetate mediates a microbiome–brain–β-cell axis to promote metabolic syndrome
Perry, R. J., Peng, L., Barry, N. A., Cline, G. W., Zhang, D., Cardone, R. L., Petersen, K. F., Kibbey, R. G., Goodman, A. L., & Shulman, G. I. (2016) · Nature · doi:10.1038/nature18309 · Cited by 1,299
Kim, D., Jeong, D., Kang, I., Kim, H., Song, K., & Seo, K. (2017) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201700252 · Cited by 122
Cited by
Falvo, S., Minucci, S., Santillo, A., Senese, R., Chieffi Baccari, G., & Venditti, M. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1274035 · Cited by 30
Metadata
- Authors
- de Moura e Dias, M., dos Reis, S. A., da Conceição, L. L., Sediyama, C. M. N. D. O., Pereira, S. S., de Oliveira, L. L., Gouveia Peluzio, M. D. C., Martinez, J. A., & Milagro, F. I.
- Venue
- Diabetology & Metabolic Syndrome
- Published
- 2021-03-18
- Volume
- 13
- Issue
- 1
- Pages
- 32-32
- ISSN
- 1758-5996 (ISSN-L)
- OpenAlex
- W3137800822
- Cited by
- 268
- References
- 2
- FWCI
- 24.77
- Type
- journal article
- Language
- en
- Open access
- gold
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.