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A high-sugar diet produces obesity and insulin resistance in wild-type Drosophila

Open access
Palanker Musselman, Laura, Fink, Jill L., Narzinski, Kirk, Ramachandran, Prasanna Venkatesh, Sukumar Hathiramani, Sumitha, Cagan, Ross L., Baranski, Thomas J.·2011·Disease Models & Mechanisms

Abstract

SUMMARY: Insulin-resistant, ‘type 2’ diabetes (T2D) results from a complex interplay between genes and environment. In particular, both caloric excess and obesity are strongly associated with T2D across many genetic backgrounds. To gain insights into how dietary excess affects insulin resistance, we studied the simple model organism Drosophila melanogaster. Larvae reared on a high-sugar diet were hyperglycemic, insulin resistant and accumulated fat – hallmarks of T2D – compared with those reared on control diets. Excess dietary sugars, but not fats or proteins, elicited insulin-resistant phenotypes. Expression of genes involved in lipogenesis, gluconeogenesis and β-oxidation was upregulated in high-sugar-fed larvae, as were FOXO targets, consistent with known mechanisms of insulin resistance in humans. These data establish a novel Drosophila model of diet-induced insulin resistance that bears strong similarity to the pathophysiology of T2D in humans.

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Research works printed but not linked: 31

  1. Baker, 2007, Diabetic larvae and obese flies-emerging studies of metabolism in Drosophila, Cell Metab., 6, 257, 10.1016/j.cmet.2007.09.002 · DOI · Paper page
  2. Beissbarth, 2004, GOstat: find statistically overrepresented Gene Ontologies within a group of genes, Bioinformatics, 20, 1464, 10.1093/bioinformatics/bth088 · DOI · Paper page
  3. Bohni, 1999, Autonomous control of cell and organ size by CHICO, a Drosophila homolog of vertebrate IRS1-4, Cell, 97, 865, 10.1016/S0092-8674(00)80799-0 · DOI · Paper page
  4. Broughton, 2005, Longer lifespan, altered metabolism, and stress resistance in Drosophila from ablation of cells making insulin-like ligands, Proc. Natl. Acad. Sci. USA, 102, 3105, 10.1073/pnas.0405775102 · DOI · Paper page
  5. Carsten, 2005, Gene expression patterns accompanying a dietary shift in Drosophila melanogaster, Mol. Ecol., 14, 3203, 10.1111/j.1365-294X.2005.02654.x · DOI
  6. Ceddia, 2003, Insulin stimulates glucose metabolism via the pentose phosphate pathway in Drosophila Kc cells, FEBS Lett., 555, 307, 10.1016/S0014-5793(03)01261-4 · DOI
  7. Chen, 1996, The Drosophila insulin receptor is required for normal growth, Endocrinology, 137, 846, 10.1210/endo.137.3.8603594 · DOI · Paper page
  8. Fukuchi, 2004, Role of fatty acid composition in the development of metabolic disorders in sucrose-induced obese rats, Exp. Biol. Med. (Maywood), 229, 486, 10.1177/153537020422900606 · DOI
  9. Geminard, 2009, Remote control of insulin secretion by fat cells in Drosophila, Cell Metab., 10, 199, 10.1016/j.cmet.2009.08.002 · DOI · Paper page
  10. Guan, 2002, A futile metabolic cycle activated in adipocytes by antidiabetic agents, Nat. Med., 8, 1122, 10.1038/nm780 · DOI · Paper page
  11. Honegger, 2008, Imp-L2, a putative homolog of vertebrate IGF-binding protein 7, counteracts insulin signaling in Drosophila and is essential for starvation resistance, J. Biol., 7, 10, 10.1186/jbiol72 · DOI · Paper page
  12. Junkin, 2009, Resistin acutely impairs insulin-stimulated glucose transport in rodent muscle in the presence, but not absence, of palmitate, Am. J. Physiol. Regul. Integr. Comp. Physiol., 296, R944, 10.1152/ajpregu.90971.2008 · DOI
  13. Kim, 2004, Conserved mechanisms of glucose sensing and regulation by Drosophila corpora cardiaca cells, Nature, 431, 316, 10.1038/nature02897 · DOI · Paper page
  14. Krishnan, 2007, Glycemic index, glycemic load, and cereal fiber intake and risk of type 2 diabetes in US black women, Arch. Intern. Med., 167, 2304, 10.1001/archinte.167.21.2304 · DOI · Paper page
  15. Lee, 2004, Hemolymph sugar homeostasis and starvation-induced hyperactivity affected by genetic manipulations of the adipokinetic hormone-encoding gene in Drosophila melanogaster, Genetics, 167, 311, 10.1534/genetics.167.1.311 · DOI · Paper page
  16. Leiter, 1983, Influence of dietary carbohydrate on the induction of diabetes in C57BL/KsJ-db/db diabetes mice, J. Nutr., 113, 184, 10.1093/jn/113.1.184 · DOI
  17. Li, 2001, Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application, Genome Biol., 2, 10.1186/gb-2001-2-8-research0032 · DOI · Paper page
  18. Livesey, 2008, Glycemic response and health-a systematic review and meta-analysis: the database, study characteristics, and macronutrient intakes, Am. J. Clin. Nutr., 87, 223S, 10.1093/ajcn/87.1.223S · DOI
  19. Lusis, 2008, Metabolic syndrome: from epidemiology to systems biology, Nat. Rev. Genet., 9, 819, 10.1038/nrg2468 · DOI · Paper page
  20. Marshall, 1999, Relative hypoglycemia and hyperinsulinemia in mice with heterozygous lipoprotein lipase (LPL) deficiency. Islet LPL regulates insulin secretion, J. Biol. Chem., 274, 27426, 10.1074/jbc.274.39.27426 · DOI
  21. Michael, 2000, Loss of insulin signaling in hepatocytes leads to severe insulin resistance and progressive hepatic dysfunction, Mol. Cell, 6, 87, 10.1016/S1097-2765(05)00015-8 · DOI · Paper page
  22. O’Brien, 1990, Identification of a sequence in the PEPCK gene that mediates a negative effect of insulin on transcription, Science, 249, 533, 10.1126/science.2166335 · DOI · Paper page
  23. Reed, 2010, Genotype-by-diet interactions drive metabolic phenotype variation in Drosophila melanogaster, Genetics, 185, 1009, 10.1534/genetics.109.113571 · DOI
  24. Rulifson, 2002, Ablation of insulin-producing neurons in flies: growth and diabetic phenotypes, Science, 296, 1118, 10.1126/science.1070058 · DOI · Paper page
  25. Salans, 1974, Glucose metabolism and the response to insulin by human adipose tissue in spontaneous and experimental obesity. Effects of dietary composition and adipose cell size, J. Clin. Invest., 53, 848, 10.1172/JCI107625 · DOI
  26. Samuel, 2009, Fasting hyperglycemia is not associated with increased expression of PEPCK or G6Pc in patients with Type 2 Diabetes, Proc. Natl. Acad. Sci. USA, 106, 12121, 10.1073/pnas.0812547106 · DOI · Paper page
  27. Shingleton, 2005, The temporal requirements for insulin signaling during development in Drosophila, PLoS Biol., 3, e289, 10.1371/journal.pbio.0030289 · DOI · Paper page
  28. Skorupa, 2008, Dietary composition specifies consumption, obesity, and lifespan in Drosophila melanogaster, Aging Cell, 7, 478, 10.1111/j.1474-9726.2008.00400.x · DOI · Paper page
  29. Song, 2010, SH2B regulation of growth, metabolism, and longevity in both insects and mammals, Cell Metab., 11, 427, 10.1016/j.cmet.2010.04.002 · DOI
  30. Tusher, 2001, Significance analysis of microarrays applied to the ionizing radiation response, Proc. Natl. Acad. Sci. USA, 98, 5116, 10.1073/pnas.091062498 · DOI · Paper page
  31. Wild, 2004, Global prevalence of diabetes: estimates for the year 2000 and projections for 2030, Diabetes Care, 27, 1047, 10.2337/diacare.27.5.1047 · DOI · Paper page

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Metadata

Authors
Palanker Musselman, L., Fink, J. L., Narzinski, K., Ramachandran, P. V., Sukumar Hathiramani, S., Cagan, R. L., & Baranski, T. J.
Venue
Disease Models & Mechanisms
Published
2011-11-01
Volume
4
Issue
6
Pages
842-849
ISSN
  • 1754-8403 (ISSN-L)
  • 1754-8411
OpenAlex
W2153551557
Cited by
563
References
10
FWCI
12.71
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A high-sugar diet produces obesity and insulin resistance in wild-type Drosophila. https://app.cochat.ai/papers/10.1242/dmm.007948
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Palanker Musselman, L., Fink, J. L., Narzinski, K., Ramachandran, P. V., Sukumar Hathiramani, S., Cagan, R. L., & Baranski, T. J. (2011). A high-sugar diet produces obesity and insulin resistance in wild-type Drosophila. Disease Models & Mechanisms. https://doi.org/10.1242/dmm.007948

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