Literature DB >> 20040482

The final frontier: how does diabetes affect the brain?

Elizabeth R Seaquist1.   

Abstract

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Year:  2010        PMID: 20040482      PMCID: PMC2797942          DOI: 10.2337/db09-1600

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


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Our understanding of the impact of diabetes on organ function has been evolving since the discovery of insulin in the 1920s. At that time insulin was a miracle drug that appeared to cure diabetes, but over time it became clear that death and disability from diabetes complications involving the eyes, kidneys, peripheral nerves, heart, and vasculature could occur even with treatment. With the improvement in diabetes care over the past 20 years, fewer patients are developing the traditional diabetes complications. However, as people live long and well with the disease, it has become apparent that diabetes can alter function and structure in tissues not typically associated with complications such as the brain and bone. Alteration in brain structure and function are particularly of concern because of the impact of dementia and cognitive dysfunction on overall quality of life. From large epidemiological studies, it has been demonstrated that both vascular and Alzheimer's dementia are more common in patients with type 2 diabetes (1). Why this might be true has been difficult to define. Certainly these patients can be expected to have more risk factors such as previous cardiovascular disease, history of hypertension, and dyslipidemia than aged matched control subjects, but when these variables are controlled, the risk for patients with diabetes appears to be higher than that of other subject groups. Persistent hyperglycemia appears to play an important role in cerebral dysfunction. Many years ago, Reaven et al. (2) demonstrated that performance on cognitive tasks assessing learning, reasoning, and complex psychomotor performance was inversely related to glycemic control in a small population of subjects with type 2 diabetes. This issue was recently readdressed in the much larger ACCORD population, where an elevated A1C was found to be linked to reduced performance on neurocognitive tests assessing memory, learning, and executive functions in nearly 3,000 subjects with type 2 diabetes (3). However, the relevance of these observations to younger patients with type 2 diabetes and to patients with type 1 diabetes who may have fewer cardiovascular risk factors is uncertain. Is the dementia and cognitive dysfunction identified in elderly subjects with type 2 diabetes related to their comorbidities and age, or is it the result of a diabetes-related process that begins years earlier? From studies performed in adults with type 1 diabetes, we now know that reductions in measures of motor speed and psychomotor efficiency can be seen in patients in midlife (4). These neurocognitive changes have been associated with a reduction in white matter volume or an alteration in white matter microstructure in some (5,6) but not all (7,8) investigations. Reduction in gray matter density in brain regions responsible for language processing and memory (8) and generalized atrophy (9) have also been identified in young adults with long-standing type 1 diabetes. Patients with chronic hyperglycemia (10), early onset of disease (11), or recurrent severe hypoglycemia (12) appear to be at particular risk for the development of changes in brain structure and function over time, although these associations have not been consistently observed in all groups of subjects with type 1 diabetes who have been investigated (7,8). If the abnormalities seen in these adults with type 1 diabetes are specific to diabetes, they may also be seen in younger patients with type 2 diabetes. Careful assessment of cerebral structure and function in young adults with type 2 diabetes but without other comorbidities that increase the risk of vascular disease could help us understand the impact of diabetes on the brain. Examination of children with diabetes may also provide more insight into the specific effects of diabetes on the brain. In the current issue of Diabetes, Hershey et al. (13) present imaging data collected from a large cohort of children with type 1 diabetes. They made the surprising observation that hippocampal volumes were increased in the children with the largest number of severe hypoglycemic episodes. These observations demonstrate the sensitivity of the hippocampus to acute hypoglycemia but are contrary to the data collected in adults with long-standing type 1 diabetes where no changes in hippocampal volume have been observed (9). Hershey et al. speculate that the developing brain may respond differently than the adult brain to a hypoglycemic insult, which has been demonstrated in animal models where postnatal age influences the regional vulnerability to hypoglycemia (14). Defining the impact of diabetes and related risk factors on cerebral structure and function is very important to patients with diabetes. To do so will require careful prospective evaluation of subjects with type 1 diabetes over their life span using both sophisticated imaging technology and comprehensive neurocognitive testing. As depicted in Fig. 1, we must understand if the increases in hippocampal volumes seen by Hershey et al. in children with diabetes and frequent hypoglycemia are linked to the abnormalities in white matter microstructure and neurocognitive function identified by Kodl et al. (5) in population of older type 1 diabetic subjects. Of equal importance is learning whether the structural and neurocognitive abnormalities identified in midlife in patients with type 1 diabetes are related to the more severe levels of cognitive dysfunction seen in older subjects with type 2 diabetes who also experience hypertension, hyperlipidemia, and vascular disease. If so, we ultimately must determine which interventions can be used to prevent this progression. These are critical questions deserving of study in the upcoming years. For the sake of all people with diabetes, we must not wait to see whether dementia is the expected outcome in people growing old with diabetes before we come to understand the full impact of the disease on the brain.
FIG. 1.

Patients with diabetes have been found to have several changes in brain structure that appear to develop over time (top) and often experience conditions that present risk for subsequent cognitive dysfunction (bottom). Future study is necessary to define the natural history, structural basis, and risk factors for cognitive dysfunction in diabetes.

Patients with diabetes have been found to have several changes in brain structure that appear to develop over time (top) and often experience conditions that present risk for subsequent cognitive dysfunction (bottom). Future study is necessary to define the natural history, structural basis, and risk factors for cognitive dysfunction in diabetes.
  14 in total

1.  Association of diabetes mellitus and dementia: the Rotterdam Study.

Authors:  A Ott; R P Stolk; A Hofman; F van Harskamp; D E Grobbee; M M Breteler
Journal:  Diabetologia       Date:  1996-11       Impact factor: 10.122

2.  Cognitive performance, psychological well-being, and brain magnetic resonance imaging in older patients with type 1 diabetes.

Authors:  Augustina M A Brands; Roy P C Kessels; Roel P L M Hoogma; Johanna M L Henselmans; Johanna W van der Beek Boter; L Jaap Kappelle; Edward H F de Haan; Geert Jan Biessels
Journal:  Diabetes       Date:  2006-06       Impact factor: 9.461

3.  Influence of an early-onset age of type 1 diabetes on cerebral structure and cognitive function.

Authors:  Stewart C Ferguson; Annette Blane; Joanna Wardlaw; Brian M Frier; Petros Perros; Rory J McCrimmon; Ian J Deary
Journal:  Diabetes Care       Date:  2005-06       Impact factor: 19.112

4.  Hippocampal volume and cognitive performance in long-standing Type 1 diabetic patients without macrovascular complications.

Authors:  B M Lobnig; O Krömeke; C Optenhostert-Porst; O T Wolf
Journal:  Diabet Med       Date:  2006-01       Impact factor: 4.359

5.  Effects of type 1 diabetes on gray matter density as measured by voxel-based morphometry.

Authors:  Gail Musen; In Kyoon Lyoo; Caitlin R Sparks; Katie Weinger; Jaeuk Hwang; Christopher M Ryan; David C Jimerson; John Hennen; Perry F Renshaw; Alan M Jacobson
Journal:  Diabetes       Date:  2006-02       Impact factor: 9.461

6.  Long-term effect of diabetes and its treatment on cognitive function.

Authors:  Alan M Jacobson; Gail Musen; Christopher M Ryan; Nancy Silvers; Patricia Cleary; Barbara Waberski; Amanda Burwood; Katie Weinger; Meg Bayless; William Dahms; Judith Harth
Journal:  N Engl J Med       Date:  2007-05-03       Impact factor: 91.245

7.  Relationship between hyperglycemia and cognitive function in older NIDDM patients.

Authors:  G M Reaven; L W Thompson; D Nahum; E Haskins
Journal:  Diabetes Care       Date:  1990-01       Impact factor: 19.112

8.  Cognitive ability and brain structure in type 1 diabetes: relation to microangiopathy and preceding severe hypoglycemia.

Authors:  Stewart C Ferguson; Annette Blane; Petros Perros; Rory J McCrimmon; Jonathan J K Best; Joanna Wardlaw; Ian J Deary; Brian M Frier
Journal:  Diabetes       Date:  2003-01       Impact factor: 9.461

9.  Cognitive performance in type 1 diabetes patients is associated with cerebral white matter volume.

Authors:  A M Wessels; S A R B Rombouts; P L Remijnse; Y Boom; P Scheltens; F Barkhof; R J Heine; F J Snoek
Journal:  Diabetologia       Date:  2007-06-02       Impact factor: 10.122

10.  Hippocampal volumes in youth with type 1 diabetes.

Authors:  Tamara Hershey; Dana C Perantie; Jenny Wu; Patrick M Weaver; Kevin J Black; Neil H White
Journal:  Diabetes       Date:  2009-10-15       Impact factor: 9.461

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  25 in total

Review 1.  Diabetic retinopathy is a neurodegenerative disorder.

Authors:  Stephanie K Lynch; Michael D Abràmoff
Journal:  Vision Res       Date:  2017-04-28       Impact factor: 1.886

Review 2.  [Mental disorders and diabetes mellitus].

Authors:  Heidemarie Abrahamian; Alexandra Kautzky-Willer; Angelika Rießland-Seifert; Peter Fasching; Christoph Ebenbichler; Peter Hofmann; Hermann Toplak
Journal:  Wien Klin Wochenschr       Date:  2016-04       Impact factor: 1.704

3.  Data mining differential clinical outcomes associated with drug regimens using adverse event reporting data.

Authors:  Mayur Sarangdhar; Scott Tabar; Charles Schmidt; Akash Kushwaha; Krish Shah; Jeanine E Dahlquist; Anil G Jegga; Bruce J Aronow
Journal:  Nat Biotechnol       Date:  2016-07-12       Impact factor: 54.908

Review 4.  Short and long term neuro-behavioral alterations in type 1 diabetes mellitus pediatric population.

Authors:  Edna Litmanovitch; Ronny Geva; Marianna Rachmiel
Journal:  World J Diabetes       Date:  2015-03-15

5.  Brain function and structure and risk for incident diabetes: The Atherosclerosis Risk in Communities Study.

Authors:  Michael P Bancks; Alvaro Alonso; Rebecca F Gottesman; Thomas H Mosley; Elizabeth Selvin; James S Pankow
Journal:  Alzheimers Dement       Date:  2017-06-16       Impact factor: 21.566

6.  Effects of Tianqijiangtang capsule on survival, self-renewal and differentiation of hippocampal neural stem cells of embryonic rats cultured in high glucose medium.

Authors:  Chun-Yong Han; Jing Liu; Feng Wan; Mo Tian; Yan-Li Zhang; Qing-Hu He; Yin-Chu Si
Journal:  Am J Transl Res       Date:  2019-09-15       Impact factor: 4.060

7.  Patients with type 1 diabetes exhibit altered cerebral metabolism during hypoglycemia.

Authors:  Kim C C van de Ven; Cees J Tack; Arend Heerschap; Marinette van der Graaf; Bastiaan E de Galan
Journal:  J Clin Invest       Date:  2013-01-09       Impact factor: 14.808

Review 8.  [Diabetes mellitus and cognitive decline].

Authors:  Bernhard Iglseder
Journal:  Wien Med Wochenschr       Date:  2011-07-29

9.  Insulin reduces neuronal excitability by turning on GABA(A) channels that generate tonic current.

Authors:  Zhe Jin; Yang Jin; Suresh Kumar-Mendu; Eva Degerman; Leif Groop; Bryndis Birnir
Journal:  PLoS One       Date:  2011-01-14       Impact factor: 3.240

10.  Diabetes Mellitus Is Associated With an Earlier Age of Onset of Huntington's Disease.

Authors:  Pedro Gonzalez-Alegre; Jordan L Schultz; Amy C Ogilvie
Journal:  Mov Disord       Date:  2020-12-24       Impact factor: 10.338

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