Vascular complications in diabetes: Old messages, new thoughts
Open accessAbstract
In parallel with the growing diabetes pandemic, there is an increasing burden of micro- and macrovascular complications, occurring in the majority of patients. The identification of a number of synergistic accelerators of disease, providing therapeutic pathways, has stabilised the incidence of complications in most western nations. However, the primary instigators of diabetic complications and, thus, prevention strategies, remain elusive. This has necessitated a refocus on natural history studies, where tissue and plasma samples are sequentially taken to determine when and how disease initiates. In addition, recent Phase III trials, wherein the pleiotropic effects of compounds were arguably as beneficial as their glucose-lowering capacity in slowing the progression of complications, have identified knowledge gaps. Recently the influence of other widely recognised pathological pathways, such as mitochondrial production of reactive oxygen species, has been challenged, highlighting the need for a diverse and robust global research effort to ascertain viable therapeutic targets. Technological advances, such as -omics, high-resolution imaging and computational modelling, are providing opportunities for strengthening and re-evaluating research findings. Newer areas such as epigenetics, energetics and the increasing scrutiny of our synergistic inhabitants, the microbiota, also offer novel targets as biomarkers. Ultimately, however, this field requires concerted lobbying to support all facets of diabetes research.
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Mitochondrial dynamics plays a pivotal role in endothelial dysfunction during macrovascular complications.
“A line of evidence indicates that mitochondrial dynamics plays a pivotal role in endothelial dysfunction during macrovascular complications [220,221].”
From AMPK, Mitochondrial Function, and Cardiovascular Disease (2020) · cites this paper as [220]
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RETRACTED: Primary Prevention of Cardiovascular Disease with a Mediterranean Diet
Estruch, R., Ros, E., Salas-Salvadó, J., Covas, M.-I., Corella, D., Arós, F., Gómez-Gracia, E., Ruiz-Gutiérrez, V., Fiol, M., Lapetra, J., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1200303 · Cited by 4,257 · see citing works
Retracted(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667 · see citing works
Effects of Intensive Glucose Lowering in Type 2 Diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0802743 · Cited by 7,888 · see citing works
A core gut microbiome in obese and lean twins
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., et al. (2009) · Nature · doi:10.1038/nature07540 · Cited by 7,823 · see citing works
Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0802987 · Cited by 7,397 · see citing works
The Pathobiology of Diabetic Complications
Brownlee, M. (2005) · Diabetes · doi:10.2337/diabetes.54.6.1615 · Cited by 5,339 · see citing works
Mechanisms of Diabetic Complications
Forbes, J. M., & Cooper, M. E. (2013) · Physiological Reviews · doi:10.1152/physrev.00045.2011 · Cited by 2,890 · see citing works
Self-citationHeerspink, H. J. L., Perkins, B. A., Fitchett, D. H., Husain, M., & Cherney, D. Z. I. (2016) · Circulation · doi:10.1161/circulationaha.116.021887 · Cited by 1,376 · see citing works
Oxidative Stress as a Major Culprit in Kidney Disease in Diabetes
Forbes, J. M., Coughlan, M. T., & Cooper, M. E. (2008) · Diabetes · doi:10.2337/db08-0057 · Cited by 1,203 · see citing works
Self-citationRenal and retinal effects of enalapril and losartan in type 1 diabetes
Mauer, M., Zinman, B., Gardiner, R., Suissa, S., Sinaiko, A., Strand, T., Drummond, K., Donnelly, S., Goodyer, P., Gubler, M. C., et al. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0808400 · Cited by 791 · see citing works
Metformin and the gastrointestinal tract
McCreight, L. J., Bailey, C. J., & Pearson, E. R. (2016) · Diabetologia · doi:10.1007/s00125-015-3844-9 · Cited by 733 · see citing works
Geiss, L. S., Wang, J., Cheng, Y. J., Thompson, T. J., Barker, L. E., Li, Y., Albright, A. L., & Gregg, E. W. (2014) · JAMA · doi:10.1001/jama.2014.11494 · Cited by 668 · see citing works
Follow-up of blood-pressure lowering and glucose control in type 2 diabetes
Zoungas, S., Chalmers, J., Neal, B., Billot, L., Li, Q., Hirakawa, Y., Arima, H., Monaghan, H., Joshi, R., Colagiuri, S., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1407963 · Cited by 626 · see citing works
Wang, Z., Ying, Z., Bosy-Westphal, A., Zhang, J., Schautz, B., Later, W., Heymsfield, S. B., & Müller, M. J. (2010) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2010.29885 · Cited by 546 · see citing works
AMPK dysregulation promotes diabetes-related reduction of superoxide and mitochondrial function
Dugan, L. L., You, Y.-H., Ali, S. S., Diamond-Stanic, M. K., Miyamoto, S., Declèves, A., Andreyev, A. Y., Quach, T., Ly, S., Shekhtman, G., et al. (2013) · Journal of Clinical Investigation · doi:10.1172/jci66218 · Cited by 456 · see citing works
Palmer, S. C., Mavridis, D., Navarese, E., Craig, J. C., Tonelli, M., Salanti, G., Wiebe, N., Ruospo, M., Wheeler, D. C., & Strippoli, G. F. M. (2015) · The Lancet · doi:10.1016/s0140-6736(14)62459-4 · Cited by 395 · see citing works
Diabetic nephropathy—emerging epigenetic mechanisms
Kato, M. V., & Natarajan, R. D. (2014) · Nature Reviews Nephrology · doi:10.1038/nrneph.2014.116 · Cited by 316 · see citing works
Genome-wide DNA methylation analysis for diabetic nephropathy in type 1 diabetes mellitus
Bell, C. G., Teschendorff, A. E., Rakyan, V. K., Maxwell, A. P., Beck, S., & Savage, D. A. (2010) · BMC Medical Genomics · doi:10.1186/1755-8794-3-33 · Cited by 302 · see citing works
Protection of mitochondria prevents high-fat diet–induced glomerulopathy and proximal tubular injury
Szeto, H. H., Liu, S., Soong, Y., Alam, N., Prusky, G. T., & Seshan, S. V. (2016) · Kidney International · doi:10.1016/j.kint.2016.06.013 · Cited by 293 · see citing works
Davari, S., Talaei, S. A., Alaei, H., & salami, M. (2013) · Neuroscience · doi:10.1016/j.neuroscience.2013.02.055 · Cited by 290 · see citing works
Schultz, C. J., Bahu, T. K., Dalton, R. N., Carroll, T. A., STRATTON, I. M., Gale, E. A. M., Neil, A., & Dunger, D. B. (1999) · Diabetes Care · doi:10.2337/diacare.22.3.495 · Cited by 289 · see citing works
Tissue-specific metabolic reprogramming drives nutrient flux in diabetic complications
Sas, K. M., Kayampilly, P., Byun, J., Nair, V., Hinder, L. M., Hur, J., Zhang, H., Lin, C., Qi, N. R., Michailidis, G., et al. (2016) · JCI Insight · doi:10.1172/jci.insight.86976 · Cited by 268 · see citing works
Gerrits, E. G., Lutgers, H. L., Kleefstra, N., Graaff, R., Groenier, K. H., Smit, A. J., Gans, R. O. B., & Bilo, H. J. G. (2008) · Diabetes Care · doi:10.2337/dc07-1755 · Cited by 233 · see citing works
Chilelli, N. C., Burlina, S., & Lapolla, A. (2013) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2013.04.004 · Cited by 226 · see citing works
Ko, Y.-A., Mohtat, D., Suzuki, M., Park, A. S. D., Izquierdo, M. C., Han, S. Y., Kang, H. M., Si, H., Hostetter, T., Pullman, J. M., et al. (2013) · Genome Biology · doi:10.1186/gb-2013-14-10-r108 · Cited by 225 · see citing works
Progressive Renal Decline: The New Paradigm of Diabetic Nephropathy in Type 1 Diabetes
Królewski, A. S. (2015) · Diabetes Care · doi:10.2337/dc15-0184 · Cited by 219 · see citing works
Sapienza, C., Lee, J. Y. H., Powell, J., Erinle, O., Yafai, F., Reichert, J., Siraj, E. S., & Madaio, M. P. (2011) · Epigenetics · doi:10.4161/epi.6.1.13362 · Cited by 208 · see citing works
Prevention of diabetic nephropathy in Ins2+/−AkitaJ mice by the mitochondria-targeted therapy MitoQ
Chacko, B. K., Reily, C., Srivastava, A., Johnson, M. S., Ye, Y., Ulasova, E., Agarwal, A., Zinn, K. R., Murphy, M. P., Kalyanaraman, B., et al. (2010) · Biochemical Journal · doi:10.1042/bj20100308 · Cited by 204 · see citing works
Liraglutide and Cardiovascular Outcomes in Type 2 Diabetes
Correia, L. C. L., Latado, A., & Porzsolt, F. (2016) · New England Journal of Medicine · doi:10.1056/nejmc1611289 · Cited by 194 · see citing works
Heritability of Proliferative Diabetic Retinopathy
Hietala, K., Forsblom, C. M., Summanen, P. A., et al. (2008) · Diabetes · doi:10.2337/db07-1495 · Cited by 176 · see citing works
The emerging challenge in diabetes: The “metabolic memory”
Ceriello, A. (2012) · Vascular Pharmacology · doi:10.1016/j.vph.2012.05.005 · Cited by 174 · see citing works
Mapping time-course mitochondrial adaptations in the kidney in experimental diabetes
Coughlan, M. T., Nguyen, T.-V., Penfold, S. A., Higgins, G. C., Thallas‐Bonke, V., Tan, S. M., Bergen, N. J. V., Sourris, K. C., Harcourt, B. E., Thorburn, D. R., et al. (2016) · Clinical Science · doi:10.1042/cs20150838 · Cited by 170 · see citing works
Self-citationThe Evolving Understanding of the Contribution of Lipid Metabolism to Diabetic Kidney Disease
Stadler, K., Goldberg, I. J., & Susztak, K. (2015) · Current Diabetes Reports · doi:10.1007/s11892-015-0611-8 · Cited by 165 · see citing works
Bergenstal, R. M. (2015) · Diabetes Care · doi:10.2337/dc15-0099 · Cited by 140 · see citing works
Heritability of GFR and albuminuria in Caucasians with type 2 diabetes mellitus
Langefeld, C. D., Beck, S. R., Bowden, D. W., et al. (2004) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2003.12.043 · Cited by 134 · see citing works
Hou, Y., Li, S., Wu, M. T., Wei, J., Ren, Y., Du, C., Wu, H., Han, C., Duan, H., & Shi, Y. (2015) · American Journal of Physiology-Renal Physiology · doi:10.1152/ajprenal.00574.2014 · Cited by 121 · see citing works
Sourris, K. C., Harcourt, B. E., Tang, P., Morley, A. L., Huynh, K., Penfold, S. A., Coughlan, M. T., Cooper, M. E., Nguyen, T. V., Ritchie, R. H., et al. (2011) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2011.11.017 · Cited by 118 · see citing works
Self-citationGlycemic Variability: Both Sides of the Story
Ceriello, A., & Kilpatrick, E. S. (2013) · Diabetes Care · doi:10.2337/dcs13-2030 · Cited by 111 · see citing works
Coughlan, M. T., & Sharma, K. (2016) · Kidney International · doi:10.1016/j.kint.2016.02.043 · Cited by 108 · see citing works
Marcovecchio, M. L., Woodside, J., Jones, T. W., Daneman, D., Neil, A., Prevost, A. T., Dalton, R. N., Deanfield, J. E., Dunger, D. B., & on behalf of the AdDIT Investigators (2013) · Diabetes Care · doi:10.2337/dc13-1634 · Cited by 100 · see citing works
The Role of Mitochondria in Diabetic Kidney Disease
Hallan, S. I., & Sharma, K. (2016) · Current Diabetes Reports · doi:10.1007/s11892-016-0748-0 · Cited by 94 · see citing works
Persson, M. F., Franzén, S., Catrina, S., Dallner, G., Hansell, P., Brismar, K., & Palm, F. (2012) · Diabetologia · doi:10.1007/s00125-012-2469-5 · Cited by 93 · see citing works
Does Our Gut Microbiome Predict Cardiovascular Risk?
Griffin, J. L., Wang, X., & Stanley, E. G. (2015) · Circulation Cardiovascular Genetics · doi:10.1161/circgenetics.114.000219 · Cited by 92 · see citing works
Regulation of Vascular Smooth Muscle Cell Dysfunction Under Diabetic Conditions by miR-504
Reddy, M. A., Das, S., Chen, Z., Jin, W. L., Wang, M., Lanting, L. L., & Natarajan, R. D. (2016) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.115.306770 · Cited by 86 · see citing works
The Siblings With Ischemic Stroke Study (SWISS) Protocol
Meschia, J. F., Brown, R. D., Brott, T. G., Chukwudelunzu, F. E., Hardy, J., & Rich, S. S. (2002) · BMC Medical Genetics · doi:10.1186/1471-2350-3-1 · Cited by 84 · see citing works
Noncoding RNAs in diabetes vascular complications
Beltrami, C., Angelini, T. G., & Emanueli, C. (2014) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2014.12.014 · Cited by 75 · see citing works
Genetics of cardiovascular and renal complications in diabetes
Ronald, C. W. (2015) · Journal of Diabetes Investigation · doi:10.1111/jdi.12391 · Cited by 56 · see citing works
Maftei, O., Peña, A. S., Sullivan, T., Jones, T. W., Donaghue, K. C., Cameron, F. J., Davis, E. A., Cotterill, A. M., Craig, M. E., Gent, R. J., et al. (2014) · Diabetes Care · doi:10.2337/dc14-0700 · Cited by 53 · see citing works
Cho, N. H., Kim, K. M., Choi, S. H., Park, K. S., Jang, H. C., Kim, S. S., Sattar, N. A., & Lim, S. K. (2015) · Diabetes Care · doi:10.2337/dc14-1931 · Cited by 49 · see citing works
From Single Nucleotide Polymorphism to Transcriptional Mechanism
Martini, S., Nair, V., Patel, S. R., Eichinger, F. H., Nelson, R. G., Weil, E. J., Pezzolesi, M. G., Królewski, A. S., Randolph, A. E., Keller, B. J., et al. (2013) · Diabetes · doi:10.2337/db12-1416 · Cited by 40 · see citing works
DNA methylation profiling in cell models of diabetic nephropathy
Brennan, E. P., Ehrich, M., O'Donovan, H. C., et al. (2010) · Epigenetics · doi:10.4161/epi.5.5.12077 · Cited by 28 · see citing works
Cho, Y. H., Craig, M. E., Davis, E. A., et al. (2015) · Diabetes Care · doi:10.2337/dc14-1848 · Cited by 28 · see citing works
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Ceriello, A., Monnier, L., & Owens, D. (2019) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(18)30136-0 · Cited by 588 · see citing works
AMPK, Mitochondrial Function, and Cardiovascular Disease
Wu, S., & Zou, M.-H. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21144987 · Cited by 286 · see citing works
Clusterin ameliorates endothelial dysfunction in diabetes by suppressing mitochondrial fragmentation
Ren, L., Han, F., Xuan, L., Lv, Y., Gong, L., Yan, Y., Wan, Z., Guo, L., Liu, H., Xu, B., et al. (2019) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2019.10.008 · Cited by 48 · see citing works
- Authors
- Forbes, J. M., & Fotheringham, A. K.
- Affiliations
- Translational Research Institute (AU)
- Corresponding author
- Forbes, Josephine M.
- Venue
- Diabetologia
- Published
- 2017-07-19
- Volume
- 60
- Issue
- 11
- Pages
- 2129-2138
- ISSN
- 0012-186X (ISSN-L)
- 1432-0428
- OpenAlex
- W2737042056
- Cited by
- 106
- References
- 56
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 10 · 2023: 6 · 2022: 14 · 2021: 18 · 2020: 15 · 2019: 8 · 2018: 20 · 2017: 2
- FWCI
- 1.79
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetologia (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Health and Medical Research Council (1102935)
- Mater Foundation (N/A)
- Australian Postgraduate Award (N/A)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Advanced Glycation End Products research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- diabetic vascular complications, diabetic microvascular complications, diabetic macrovascular complications, natural history of disease, disease initiation, pleiotropy, reactive oxygen species, mitochondrial dysfunction, therapeutic target, biomarkers, epigenetics, gut microbiota, energetics, omics, high-resolution imaging, computational modelling, diabetes research funding
- MeSH terms
- Cardiovascular Diseases, Diabetic Nephropathies, Diabetic Neuropathies, Diabetic Retinopathy, Humans
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