The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Evaluation of Glucose Homeostasis
Abstract
Obesity and dyslipidemia are often found in association with insulin resistance (IR). These components combined with hypertension characterize the most common endocrine disorder in humans, the metabolic syndrome. Thus, in addition to profiling body weight evolution and lipid metabolites, glucose tolerance (a reflection of IR) and insulin sensitivity should also be considered as part of any metabolic phenotyping protocol. The ability to measure IR and glucose tolerance is important not only in the quest to fully understand the pathogenesis of the metabolic syndrome in the mouse, but also to test the effects of potential interventions. This unit presents a variety of tests used for this purpose, including direct blood glucose measurements, insulin measurement by ELISA, the homeostatic model assessment, glucose tolerance and insulin sensitivity tests, and the euglycemic clamp.
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“AAV9-mTERT treated mice also showed a trend for an improved glucose uptake and a better homeostatic model assessment (HOMA (Heikkinen et al, 2007; Matthews et al, 1985)) compared to the AAV9-eGFP controls, although differences did not reach statistical significance (Supporting Information Fig S4D and E).”
From Telomerase gene therapy in adult and old mice delays aging and increases longevity without increasing cancer (2012) · cites this paper as Heikkinen et al, 2007
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Cites
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
Use and Abuse of HOMA Modeling
Wallace, T. M., Levy, J. C., & Matthews, D. R. (2004) · Diabetes Care · doi:10.2337/diacare.27.6.1487 · Cited by 5,114
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TGR5-Mediated Bile Acid Sensing Controls Glucose Homeostasis
Thomas, C., Gioiello, A., Noriega, L., Strehle, A., Oury, J., Rizzo, G., Macchiarulo, A., Yamamoto, H., Mataki, C., Pruzanski, M., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.08.001 · Cited by 1,885
Self-citationFeige, J. N., Lagouge, M., Canto, C., Strehle, A., Houten, S. M., Milne, J. C., Lambert, P. D., Mataki, C., Elliott, P. J., & Auwerx, J. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2008.08.017 · Cited by 719
Self-citationBernardes de Jesus, B., Vera, E., Schneeberger, K., Tejera, A. M., Ayuso, E., Bosch, F., & Blasco, M. A. (2012) · EMBO Molecular Medicine · doi:10.1002/emmm.201200245 · Cited by 548
The metabolic footprint of aging in mice
Houtkooper, R. H., Argmann, C., Houten, S. M., Cantó, C., Jeninga, E. H., Andreux, P. A., Thomas, C., Doenlen, R., Schoonjans, K., & Auwerx, J. (2011) · Scientific Reports · doi:10.1038/srep00134 · Cited by 528
Self-citationde Jesus, B. B., Schneeberger, K., Vera, E., Tejera, A., Harley, C. B., & Blasco, M. A. (2011) · Aging Cell · doi:10.1111/j.1474-9726.2011.00700.x · Cited by 348
The nuclear receptor REV-ERBα is required for the daily balance of carbohydrate and lipid metabolism
Delezie, J., Dumont, S., Dardente, H., Oudart, H., Gréchez‐Cassiau, A., Klosen, P., Teboul, M., Delaunay, F., Pévet, P., & Challet, E. (2012) · The FASEB Journal · doi:10.1096/fj.12-208751 · Cited by 252
Knebel, B., Haas, J., Hartwig, S., Jacob, S., Köllmer, C., Nitzgen, U., Muller–Wieland, D., & Kotzka, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031812 · Cited by 162
“Total RNA extraction, Real time (RT) PCR analyses (Assay on Demand, 26Universal PCR Mastermix, ABI Prism 7000 Sequence Detection System Applied Biosystems, Darmstadt, Germany) and specific detection of endogenous mouse SREBP-1a and SREBP-1c isoforms were performed with mSREBP-1aFP 59GAGGCGGCTCTGGAACAGA39 or mSREBP-1cF…”
MethodVera, E., Bernardes de Jesus, B., Foronda, M., Flores, J. M., & Blasco, M. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0053760 · Cited by 111
Gill, J. F., Santos, G., Schnyder, S., & Handschin, C. (2018) · Aging Cell · doi:10.1111/acel.12697 · Cited by 72
Ordelheide, A.-M., Böhm, A., Kempe-Teufel, D., Wagner, R., Machicao, F., Heni, M., Stefan, N., Fritsche, A., Häring, H.-U., & Staiger, H. (2017) · PLOS ONE · doi:10.1371/journal.pone.0177148 · Cited by 14
Metadata
- Authors
- Heikkinen, S., Argmann, C. A., Champy, M., & Auwerx, J.
- Affiliations
- A.I. Virtanen Institute for Molecular Sciences, University of Kuopio Kuopio Finland
- Institut de Genetique et de Biologie Moleculaire et Cellulaire Illkirch France
- Institut Clinique de la Souris Illkirch France
- Institut de Genetique et de Biologie Moleculaire et Cellulaire and Institut Clinique de la Souris Illkirch France
- Venue
- Current Protocols in Molecular Biology
- Publisher
- Wiley
- Published
- 2007-01
- Volume
- 77
- Issue
- 1
- ISSN
- 1934-3639
- 1934-3647
- Cited by
- 81
- References
- 2
- Language
- en
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