Literature DB >> 27847345

Differential associations between systemic markers of disease and cortical thickness in healthy middle-aged and older adults.

Artur Martins Coutinho1, Jean-Philippe Coutu2, Emily Rose Lindemer3, H Diana Rosas4, Bruce R Rosen5, David H Salat6.   

Abstract

Aside from cortical damage associated with age, cerebrovascular and neurodegenerative diseases, it's an outstanding question if factors of global health, including normal variation in blood markers of metabolic and systemic function, may also be associated with individual variation in brain structure. This cross-sectional study included 138 individuals between 40 to 86 years old who were physically healthy and cognitively intact. Eleven markers (total cholesterol, HDL, LDL, triglycerides, insulin, fasting glucose, glycated hemoglobin, creatinine, blood urea nitrogen, albumin, total protein) and five derived indicators (estimated glomerular filtration rate, creatinine clearance rate, insulin-resistance, average glucose, and cholesterol/HDL ratio) were obtained from blood sampling of all participants. T1-weighted 3T MRI scans were used to evaluate gray matter cortical thickness. The markers were clustered into five factors, and factor scores were related to cortical thickness by general linear model. Two factors, one linked to insulin/metabolic health and the other to kidney function (KFF) showed regionally selective associations with cortical thickness including lateral and medial temporal, temporoparietal, and superior parietal regions for both factors and frontoparietal regions for KFF. An association between the increasing cholesterol and greater thickness in frontoparietal and occipital areas was also noted. Associations persisted independently of age, presence of cardiovascular risk factors and ApoE gene status. These findings may provide information on distinct mechanisms of inter-individual cortical variation as well as factors contributing to trajectories of cortical thinning with advancing age.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aging; Cholesterol; Gray matter; Insulin; Kidney; Magnetic resonance imaging

Mesh:

Substances:

Year:  2016        PMID: 27847345      PMCID: PMC5321862          DOI: 10.1016/j.neuroimage.2016.11.021

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  57 in total

1.  Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain.

Authors:  Bruce Fischl; David H Salat; Evelina Busa; Marilyn Albert; Megan Dieterich; Christian Haselgrove; Andre van der Kouwe; Ron Killiany; David Kennedy; Shuna Klaveness; Albert Montillo; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

2.  Sequence-independent segmentation of magnetic resonance images.

Authors:  Bruce Fischl; David H Salat; André J W van der Kouwe; Nikos Makris; Florent Ségonne; Brian T Quinn; Anders M Dale
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

Review 3.  Ageing and the glomerular filtration rate: truths and consequences.

Authors:  Richard J Glassock; Christopher Winearls
Journal:  Trans Am Clin Climatol Assoc       Date:  2009

4.  Cortical surface-based analysis. I. Segmentation and surface reconstruction.

Authors:  A M Dale; B Fischl; M I Sereno
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

5.  Effects of insulin resistance on white matter microstructure in middle-aged and older adults.

Authors:  Seon Young Ryu; Jean-Philippe Coutu; H Diana Rosas; David H Salat
Journal:  Neurology       Date:  2014-04-25       Impact factor: 9.910

Review 6.  The significance of cerebral white matter abnormalities 100 years after Binswanger's report. A review.

Authors:  L Pantoni; J H Garcia
Journal:  Stroke       Date:  1995-07       Impact factor: 7.914

7.  Vascular health and longitudinal changes in brain and cognition in middle-aged and older adults.

Authors:  Naftali Raz; Karen M Rodrigue; Kristen M Kennedy; James D Acker
Journal:  Neuropsychology       Date:  2007-03       Impact factor: 3.295

8.  Stroke risk profile, brain volume, and cognitive function: the Framingham Offspring Study.

Authors:  S Seshadri; P A Wolf; A Beiser; M F Elias; R Au; C S Kase; R B D'Agostino; C DeCarli
Journal:  Neurology       Date:  2004-11-09       Impact factor: 9.910

9.  Kidney Function and Cerebral Blood Flow: The Rotterdam Study.

Authors:  Sanaz Sedaghat; Meike W Vernooij; Elizabeth Loehrer; Francesco U S Mattace-Raso; Albert Hofman; Aad van der Lugt; Oscar H Franco; Abbas Dehghan; M Arfan Ikram
Journal:  J Am Soc Nephrol       Date:  2015-08-06       Impact factor: 10.121

Review 10.  Brain cholesterol: long secret life behind a barrier.

Authors:  Ingemar Björkhem; Steve Meaney
Journal:  Arterioscler Thromb Vasc Biol       Date:  2004-02-05       Impact factor: 8.311

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  3 in total

1.  Body mass trajectories and cortical thickness in middle-aged men: a 42-year longitudinal study starting in young adulthood.

Authors:  Carol E Franz; Hong Xian; Daphne Lew; Sean N Hatton; Olivia Puckett; Nathan Whitsel; Asad Beck; Anders M Dale; Bin Fang; Christine Fennema-Notestine; Richard L Hauger; Kristen C Jacobson; Michael J Lyons; Chandra A Reynolds; William S Kremen
Journal:  Neurobiol Aging       Date:  2019-03-12       Impact factor: 4.673

2.  Effect of Kidney Dysfunction on Cerebral Cortical Thinning in Elderly Population.

Authors:  Chih-Hao Chen; Ya-Fang Chen; Ming-Jang Chiu; Ta-Fu Chen; Ping-Huan Tsai; Jen-Hau Chen; Chung-Jen Yen; Sung-Chun Tang; Shin-Joe Yeh; Yen-Ching Chen
Journal:  Sci Rep       Date:  2017-05-24       Impact factor: 4.379

3.  Low Cholesterol Level Linked to Reduced Semantic Fluency Performance and Reduced Gray Matter Volume in the Medial Temporal Lobe.

Authors:  Fan Nils Yang; Macdonell Stanford; Xiong Jiang
Journal:  Front Aging Neurosci       Date:  2020-03-31       Impact factor: 5.750

  3 in total

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