Inflammatory biomarkers are associated with total brain volume

Background: Systemic inflammation is associated with ischemia and Alzheimer disease (AD). We hypothesized that inflammatory biomarkers would be associated with neuroimaging markers of ischemia (i.e., white matter hyperintensities [WMH]) and AD (i.e., total brain volume [TCB]). Methods: MRI WMH and TCB were quantified on 1,926 Framingham Offspring participants free from clinical stroke, TIA, or dementia (mean age 60 ± 9 years; range 35 to 85 years; 54% women) who underwent measurement of a circulating inflammatory marker panel, including CD40 ligand, C-reactive protein, interleukin-6 (IL-6), soluble intracellular adhesion molecule-1, monocyte chemoattractant protein-1, myeloperoxidase, osteoprotegerin (OPG), P-selectin, tumor necrosis factor-alpha (TNFα), and tumor necrosis factor receptor II. To account for head size, both TCB (TCBV) and WMH (WMH/TCV) were divided by total cranial volume. We used multivariable linear regression to relate 10 log-transformed inflammatory biomarkers to brain MRI measures. Results: In multivariable models, inflammatory markers as a group were associated with TCBV (p < 0.0001) but not WMH/TCV (p = 0.28). In stepwise models adjusted for clinical covariates with backwards elimination of markers, IL-6 and OPG were inversely associated with TCBV; TNFα was inversely related to TCBV in a subset of 1,430 participants. Findings were similar in analyses excluding individuals with prevalent cardiovascular disease. The relations between TCBV and inflammatory markers were modified by both sex and age, and generally were more pronounced in men and in older individuals. Conclusions: Although our observational cross-sectional data cannot establish causality, they are consistent with the hypothesis that higher inflammatory markers are associated with greater atrophy than expected for age.

[1]  P. Mcgeer,et al.  Human neurons generate C-reactive protein and amyloid P: upregulation in Alzheimer’s disease , 2000, Brain Research.

[2]  A. Hofman,et al.  Silent Brain Infarcts and White Matter Lesions Increase Stroke Risk in the General Population: The Rotterdam Scan Study , 2003, Stroke.

[3]  C. DeCarli,et al.  Predictors of brain morphology for the men of the NHLBI twin study. , 1999, Stroke.

[4]  S. Ekholm,et al.  Intrathecal release of pro‐ and anti‐inflammatory cytokines during stroke , 1997, Clinical and experimental immunology.

[5]  E. Benjamin,et al.  Heritability and correlates of intercellular adhesion molecule-1 in the Framingham Offspring Study. , 2004, Journal of the American College of Cardiology.

[6]  M. Tullberg,et al.  Correlation between Intrathecal Sulfatide and TNF-α Levels in Patients with Vascular Dementia , 2003, Dementia and Geriatric Cognitive Disorders.

[7]  R. Killiany,et al.  Use of structural magnetic resonance imaging to predict who will get Alzheimer's disease , 2000, Annals of neurology.

[8]  A Hofman,et al.  C-Reactive Protein and Cerebral Small-Vessel Disease: The Rotterdam Scan Study , 2005, Circulation.

[9]  C. Jack,et al.  Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD , 2004, Neurology.

[10]  Patrick L. McGeer,et al.  Inflammation, autotoxicity and Alzheimer disease , 2001, Neurobiology of Aging.

[11]  Nick C Fox,et al.  Visualisation and quantification of rates of atrophy in Alzheimer's disease , 1996, The Lancet.

[12]  D. Levy,et al.  Contribution of Clinical Correlates and 13 C-Reactive Protein Gene Polymorphisms to Interindividual Variability in Serum C-Reactive Protein Level , 2006, Circulation.

[13]  Nick C. Fox,et al.  The boundary shift integral: an accurate and robust measure of cerebral volume changes from registered repeat MRI , 1997, IEEE Transactions on Medical Imaging.

[14]  A. D'Angelo,et al.  Plasma osteoprotegerin as a biochemical marker for vascular dementia and Alzheimer's disease. , 2004, International journal of molecular medicine.

[15]  C. Jack,et al.  Brain atrophy rates predict subsequent clinical conversion in normal elderly and amnestic MCI , 2005, Neurology.

[16]  B. Horwitz,et al.  Method for quantification of brain, ventricular, and subarachnoid CSF volumes from MR images. , 1992, Journal of computer assisted tomography.

[17]  R B D'Agostino,et al.  Probability of stroke: a risk profile from the Framingham Study. , 1991, Stroke.

[18]  A. Hofman,et al.  Inflammatory proteins in plasma and the risk of dementia: the rotterdam study. , 2004, Archives of neurology.

[19]  D. Harvey,et al.  Measures of brain morphology and infarction in the framingham heart study: establishing what is normal , 2005, Neurobiology of Aging.

[20]  Michael T. Heneka,et al.  Inflammatory processes in Alzheimer's disease , 2007, Journal of Neuroimmunology.

[21]  S. Ekholm,et al.  Early intrathecal production of interleukin-6 predicts the size of brain lesion in stroke. , 1995, Stroke.

[22]  R B D'Agostino,et al.  Stroke risk profile, brain volume, and cognitive function , 2004, Neurology.

[23]  Jean-Philippe Galons,et al.  Quantitative Volumetric Analyses of Brain Magnetic Resonance Imaging from Rat with Chronic Neuroinflammation , 2000, Experimental Neurology.

[24]  M N Rossor,et al.  Correlation between rates of brain atrophy and cognitive decline in AD , 1999, Neurology.

[25]  J. Haxby,et al.  Lack of age-related differences in temporal lobe volume of very healthy adults. , 1994, AJNR. American journal of neuroradiology.

[26]  Nick C Fox,et al.  Brain atrophy progression measured from registered serial MRI: Validation and application to alzheimer's disease , 1997, Journal of magnetic resonance imaging : JMRI.

[27]  Charles DeCarli,et al.  Stroke Risk Profile Predicts White Matter Hyperintensity Volume: The Framingham Study , 2004, Stroke.

[28]  J. Hirschhorn,et al.  CCL2 Polymorphisms Are Associated With Serum Monocyte Chemoattractant Protein-1 Levels and Myocardial Infarction in the Framingham Heart Study , 2005, Circulation.

[29]  François Mach,et al.  Inflammation and Atherosclerosis , 2004, Herz.

[30]  C. Jack,et al.  Rates of hippocampal atrophy correlate with change in clinical status in aging and AD , 2000, Neurology.

[31]  S. Kritchevsky,et al.  Inflammatory markers and cardiovascular health in older adults. , 2005, Cardiovascular research.

[32]  D. Teichberg,et al.  Local histogram correction of MRI spatially dependent image pixel intensity nonuniformity , 1996, Journal of magnetic resonance imaging : JMRI.

[33]  Barry Horwitz,et al.  Discriminant analysis of MRI measures as a method to determine the presence of dementia of the Alzheimer type , 1995, Psychiatry Research.

[34]  P. Pietrini,et al.  Sex differences in human brain morphometry and metabolism: an in vivo quantitative magnetic resonance imaging and positron emission tomography study on the effect of aging. , 1996, Archives of general psychiatry.