Literature DB >> 20390390

Brain volume abnormalities and neurocognitive deficits in diabetes mellitus: points of pathophysiological commonality with mood disorders?

Roger S McIntyre1, Heather A Kenna, Ha T Nguyen, Candy W Y Law, Farah Sultan, Hanna O Woldeyohannes, Amanda K Adams, Jenny S H Cheng, Maria Lourenco, Sidney H Kennedy, Natalie L Rasgon.   

Abstract

BACKGROUND: It is hypothesized that diabetes mellitus (DM) and mood disorders share points of pathophysiological commonality in the central nervous system.
METHODS: A PubMed search of all English-language articles published between 1966 and March 2009 was performed with the following search terms: depression, mood disorders, hippocampus, amygdala, central nervous system, brain, neuroimaging, volumetric, morphometric, and neurocognitive deficits, cross-referenced with DM. Articles selected for review were based on adequacy of sample size, the use of standardized experimental procedures, validated assessment measures, and overall manuscript quality. The primary author was principally responsible for adjudicating the merit of articles that were included.
RESULTS: Volumetric studies indicate that individuals with Type 1/2 DM exhibit regional abnormalities in both cortical and subcortical (e.g., hippocampus, amygdala) brain structures. The pattern of neurocognitive deficits documented in individuals with Type 1 DM overlap with Type 2 populations, with suggestions of discrete abnormalities unique to each phenotype. The pattern of volumetric and neurocognitive deficits in diabetic populations are highly similar to that reported in populations of individuals with major depressive disorder.
CONCLUSION: The prevailing models of disease pathophysiology in DM and major depressive disorder are distinct. Notwithstanding, the common abnormalities observed in disparate effector systems (e.g., insulin resistance, immunoinflammatory activation) as well as brain volume and neurocognitive performance provide the nexus for hypothesizing that both conditions are subserved by overlapping pathophysiology. This conception provides a novel framework for disease modeling and treatment development in mood disorder.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20390390     DOI: 10.1007/s12325-010-0011-z

Source DB:  PubMed          Journal:  Adv Ther        ISSN: 0741-238X            Impact factor:   3.845


  23 in total

1.  Epigenetics and energetics in ventral hippocampus mediate rapid antidepressant action: Implications for treatment resistance.

Authors:  Benedetta Bigio; Aleksander A Mathé; Vasco C Sousa; Danielle Zelli; Per Svenningsson; Bruce S McEwen; Carla Nasca
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-27       Impact factor: 11.205

2.  The association of whole and refined grains consumption with psychological disorders among Iranian adults.

Authors:  Omid Sadeghi; Ammar Hassanzadeh-Keshteli; Hamid Afshar; Ahmad Esmaillzadeh; Peyman Adibi
Journal:  Eur J Nutr       Date:  2017-11-30       Impact factor: 5.614

3.  Higher dietary glycemic index, but not glycemic load, is associated with a lower prevalence of depressive symptoms in a cross-sectional study of young and middle-aged Japanese women.

Authors:  Naoko Minobe; Kentaro Murakami; Satomi Kobayashi; Hitomi Suga; Satoshi Sasaki
Journal:  Eur J Nutr       Date:  2017-07-20       Impact factor: 5.614

4.  Brain and behavioral correlates of insulin resistance in youth with depression and obesity.

Authors:  Manpreet K Singh; Sara M Leslie; Mary Melissa Packer; Yevgeniya V Zaiko; Owen R Phillips; Elizabeth F Weisman; Danielle M Wall; Booil Jo; Natalie Rasgon
Journal:  Horm Behav       Date:  2018-04-23       Impact factor: 3.587

5.  High glycemic index diet as a risk factor for depression: analyses from the Women's Health Initiative.

Authors:  James E Gangwisch; Lauren Hale; Lorena Garcia; Dolores Malaspina; Mark G Opler; Martha E Payne; Rebecca C Rossom; Dorothy Lane
Journal:  Am J Clin Nutr       Date:  2015-06-24       Impact factor: 7.045

6.  Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) 2018 guidelines for the management of patients with bipolar disorder.

Authors:  Lakshmi N Yatham; Sidney H Kennedy; Sagar V Parikh; Ayal Schaffer; David J Bond; Benicio N Frey; Verinder Sharma; Benjamin I Goldstein; Soham Rej; Serge Beaulieu; Martin Alda; Glenda MacQueen; Roumen V Milev; Arun Ravindran; Claire O'Donovan; Diane McIntosh; Raymond W Lam; Gustavo Vazquez; Flavio Kapczinski; Roger S McIntyre; Jan Kozicky; Shigenobu Kanba; Beny Lafer; Trisha Suppes; Joseph R Calabrese; Eduard Vieta; Gin Malhi; Robert M Post; Michael Berk
Journal:  Bipolar Disord       Date:  2018-03-14       Impact factor: 6.744

7.  Prefronto-temporal white matter microstructural alterations 20 years after the diagnosis of type 1 diabetes mellitus.

Authors:  Sujung Yoon; Jungyoon Kim; Gail Musen; Perry F Renshaw; Jaeuk Hwang; Nicolas R Bolo; Jieun E Kim; Donald C Simonson; Katie Weinger; Christopher M Ryan; In Kyoon Lyoo; Alan M Jacobson
Journal:  Pediatr Diabetes       Date:  2017-09-20       Impact factor: 4.866

8.  Prefrontal cortical deficits in type 1 diabetes mellitus: brain correlates of comorbid depression.

Authors:  In Kyoon Lyoo; Sujung Yoon; Alan M Jacobson; Jaeuk Hwang; Gail Musen; Jieun E Kim; Donald C Simonson; Sujin Bae; Nicolas Bolo; Dajung J Kim; Katie Weinger; Junghyun H Lee; Christopher M Ryan; Perry F Renshaw
Journal:  Arch Gen Psychiatry       Date:  2012-12

9.  Basal ganglia morphology links the metabolic syndrome and depressive symptoms.

Authors:  Ikechukwu C Onyewuenyi; Matthew F Muldoon; Israel C Christie; Kirk I Erickson; Peter J Gianaros
Journal:  Physiol Behav       Date:  2013-10-04

Review 10.  Effects of diabetes on hippocampal neurogenesis: links to cognition and depression.

Authors:  Nancy Ho; Marilyn S Sommers; Irwin Lucki
Journal:  Neurosci Biobehav Rev       Date:  2013-05-13       Impact factor: 8.989

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.