The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Diabetes causes marked inhibition of mitochondrial metabolism in pancreatic β-cells
Open accessAbstract
Diabetes is a global health problem caused primarily by the inability of pancreatic β-cells to secrete adequate levels of insulin. The molecular mechanisms underlying the progressive failure of β-cells to respond to glucose in type-2 diabetes remain unresolved. Using a combination of transcriptomics and proteomics, we find significant dysregulation of major metabolic pathways in islets of diabetic βV59M mice, a non-obese, eulipidaemic diabetes model. Multiple genes/proteins involved in glycolysis/gluconeogenesis are upregulated, whereas those involved in oxidative phosphorylation are downregulated. In isolated islets, glucose-induced increases in NADH and ATP are impaired and both oxidative and glycolytic glucose metabolism are reduced. INS-1 β-cells cultured chronically at high glucose show similar changes in protein expression and reduced glucose-stimulated oxygen consumption: targeted metabolomics reveals impaired metabolism. These data indicate hyperglycaemia induces metabolic changes in β-cells that markedly reduce mitochondrial metabolism and ATP synthesis. We propose this underlies the progressive failure of β-cells in diabetes.
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STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219
The Molecular Signatures Database Hallmark Gene Set Collection
Liberzon, A., Birger, C., Thorvaldsdóttir, H., Ghandi, M., Mesirov, J. P., & Tamayo, P. (2015) · Cell Systems · doi:10.1016/j.cels.2015.12.004 · Cited by 13,807
Lean, M. E., Leslie, W. S., Barnes, A. C., Brosnahan, N., Thom, G., McCombie, L., Peters, C., Zhyzhneuskaya, S., Al-Mrabeh, A., Hollingsworth, K. G., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(17)33102-1 · Cited by 2,095
U.K. Prospective Diabetes Study Group (1995) · Diabetes · doi:10.2337/diab.44.11.1249 · Cited by 1,923
Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes
Segerstolpe, Å., Palasantza, A., Eliasson, P., Andersson, E.-M., Andréasson, A.-C., Sun, X., Picelli, S., Sabirsh, A., Clausen, M., Bjursell, M. K., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.08.020 · Cited by 1,550
Automated Method for Isolation of Human Pancreatic Islets
Ricordi, C., Lacy, P. E., Finke, E. H., Olack, B. J., & Scharp, D. W. (1988) · Diabetes · doi:10.2337/diab.37.4.413 · Cited by 1,310
Switching from insulin to oral sulfonylureas in patients with diabetes due to Kir6.2 mutations
Pearson, E. R., Flechtner, I., Njølstad, P. R., Malecki, M. T., Flanagan, S. E., Larkin, B., Ashcroft, F. M., Klimes, I., Codner, E., Iotova, V., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa061759 · Cited by 988
Self-citationDiabetes Mellitus and the β Cell: The Last Ten Years
Ashcroft, F. M., & Rorsman, P. (2012) · Cell · doi:10.1016/j.cell.2012.02.010 · Cited by 902
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Xie, N., Zhang, L., Gao, W., Huang, C., Huber, P. E., Zhou, X., Li, C., Shen, G., & Zou, B. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00311-7 · Cited by 1,052
The Role of Oxidative Stress in Pancreatic β Cell Dysfunction in Diabetes
Eguchi, N., Vaziri, N. D., Dafoe, D. C., & Ichii, H. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22041509 · Cited by 341
Tao, T., Deng, P., Wang, Y., Zhang, X., Guo, Y., Chen, W., & Qin, J. (2022) · Advanced Science · doi:10.1002/advs.202103495 · Cited by 178
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Pipatpolkai, T., Usher, S., Stansfeld, P. J., & Ashcroft, F. M. (2020) · Nature Reviews Endocrinology · doi:10.1038/s41574-020-0351-y · Cited by 122
Self-citationEmerging roles of β-cell mitochondria in type-2-diabetes
Las, G., Oliveira, M. F., & Shirihai, O. S. (2020) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2019.100843 · Cited by 51
Metadata
- Authors
- Haythorne, E., Rohm, M., van de Bunt, M., Brereton, M. F., Tarasov, A. I., Blacker, T. S., Sachse, G., Silva dos Santos, M., Terron Exposito, R., Davis, S., Baba, O., Fischer, R., Duchen, M. R., Rorsman, P., MacRae, J. I., & Ashcroft, F. M.
- Venue
- Nature Communications
- Published
- 2019-06-06
- Volume
- 10
- Issue
- 1
- Pages
- 2474-2474
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2948594834
- Cited by
- 319
- References
- 59
- FWCI
- 33.70
- Type
- journal article
- Language
- en
- Open access
- gold
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- Haythorne, E., Rohm, M., van de Bunt, M., Brereton, M. F., Tarasov, A. I., Blacker, T. S., Sachse, G., Silva dos Santos, M., Terron Exposito, R., Davis, S., Baba, O., Fischer, R., Duchen, M. R., Rorsman, P., MacRae, J. I., & Ashcroft, F. M. (2019). Diabetes causes marked inhibition of mitochondrial metabolism in pancreatic β-cells. Nature Communications. https://doi.org/10.1038/s41467-019-10189-x
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