Literature DB >> 24650451

The relationship between fasting serum glucose and cerebral glucose metabolism in late-life depression and normal aging.

Christopher M Marano1, Clifford I Workman1, Christopher H Lyman1, Elisse Kramer2, Carol R Hermann2, Yilong Ma3, Vijay Dhawan3, Thomas Chaly3, David Eidelberg3, Gwenn S Smith4.   

Abstract

Evidence exists for late-life depression (LLD) as both a prodrome of and risk factor for Alzheimer׳s disease (AD). The underlying neurobiological mechanisms are poorly understood. Impaired peripheral glucose metabolism may explain the association between depression and AD given the connection between type 2 diabetes mellitus with both depression and AD. Positron emission tomography (PET) measures of cerebral glucose metabolism are sensitive to detecting changes in neural circuitry in LLD and AD. Fasting serum glucose (FSG) in non-diabetic young (YC; n=20) and elderly controls (EC; n=12) and LLD patients (n=16) was correlated with PET scans of cerebral glucose metabolism on a voxel-wise basis. The negative correlations were more extensive in EC versus YC and in LLD patients versus EC. Increased FSG correlated with decreased cerebral glucose metabolism in LLD patients to a greater extent than in EC in heteromodal association cortices involved in mood symptoms and cognitive deficits observed in LLD and dementia. Negative correlations in YC were observed in sensory and motor regions. Understanding the neurobiological consequences of diabetes and associated conditions will have substantial public health significance given that this is a modifiable risk factor for which prevention strategies could have an important impact on lowering dementia risk.
Copyright © 2014. Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  FDG PET; Fasting blood glucose; Insulin resistance; Late-life depression; Normal aging

Mesh:

Substances:

Year:  2014        PMID: 24650451      PMCID: PMC4388739          DOI: 10.1016/j.pscychresns.2014.01.009

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  43 in total

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8.  The topographical and neuroanatomical distribution of neurofibrillary tangles and neuritic plaques in the cerebral cortex of patients with Alzheimer's disease.

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Journal:  Psychiatry Res       Date:  1981-06       Impact factor: 3.222

10.  Noninvasive quantitative fluorodeoxyglucose PET studies with an estimated input function derived from a population-based arterial blood curve.

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Journal:  Radiology       Date:  1993-07       Impact factor: 11.105

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  6 in total

Review 1.  Brain insulin resistance in type 2 diabetes and Alzheimer disease: concepts and conundrums.

Authors:  Steven E Arnold; Zoe Arvanitakis; Shannon L Macauley-Rambach; Aaron M Koenig; Hoau-Yan Wang; Rexford S Ahima; Suzanne Craft; Sam Gandy; Christoph Buettner; Luke E Stoeckel; David M Holtzman; David M Nathan
Journal:  Nat Rev Neurol       Date:  2018-01-29       Impact factor: 42.937

2.  Association between Ideal Cardiovascular Health Metrics and Depression in Chinese Population: A Cross-sectional Study.

Authors:  Zhikun Li; Xin Yang; Anxin Wang; Jing Qiu; Wei Wang; Qiaofeng Song; Xizhu Wang
Journal:  Sci Rep       Date:  2015-07-15       Impact factor: 4.379

3.  Regional Brain Glucose Hypometabolism in Young Women with Polycystic Ovary Syndrome: Possible Link to Mild Insulin Resistance.

Authors:  Christian-Alexandre Castellano; Jean-Patrice Baillargeon; Scott Nugent; Sébastien Tremblay; Mélanie Fortier; Hélène Imbeault; Julie Duval; Stephen C Cunnane
Journal:  PLoS One       Date:  2015-12-09       Impact factor: 3.240

4.  The Normalization of Brain ¹⁸F-fluorodeoxy-D-glucose Positron Emission Tomography Hypometabolism following Electroconvulsive Therapy in a 55-year-old Woman with Treatment-resistant Late Onset Depression: A Case Report.

Authors:  Jeongjae Bak; Sang Mi Lee; Young-Joon Kwon; Se-Hoon Shim; Joong Il Kim
Journal:  Clin Psychopharmacol Neurosci       Date:  2017-02-28       Impact factor: 2.582

5.  Hemoglobin A1c Variability Predicts Symptoms of Depression in Elderly Individuals With Type 2 Diabetes.

Authors:  Ramit Ravona-Springer; Anthony Heymann; James Schmeidler; Erin Moshier; Elizabeth Guerrero-Berroa; Laili Soleimani; Mary Sano; Derek Leroith; Rachel Preiss; Ruth Tzukran; Jeremy M Silverman; Michal Schnaider Beeri
Journal:  Diabetes Care       Date:  2017-06-20       Impact factor: 19.112

6.  Chronic Stress Disturbs Metabolome of Blood Plasma and Urine in Diabetic Rats.

Authors:  Yu Ren; Cheng-Hua Yang; Zhu-Man Li; Zhen Yang; Zhi-Jun Xiao; Jing-Jing Duan; Ting Zhou; Feng Xu
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  6 in total

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