Evidence map›Paper›PMID 28457809›Full record

ArticleBrain, behavior, and immunity2017

Circulating inflammatory biomarkers in relation to brain structural measurements in a non-demented elderly population.

Yian Gu, Robert Vorburger, Nikolaos Scarmeas, José A Luchsinger, Jennifer J Manly, Nicole Schupf, Richard Mayeux, Adam M Brickman

Abstract read
In one paragraph

Article in Brain, behavior, and immunity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 2 syntheses or guidelines pooled it, 99 citations in OpenAlex.

  1. Pooled it
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  17. Promising benefits of six-monthFrontiers in aging · 2025
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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 3 countries.

Yian GuThe Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; The Department of Neurology, Columbia University, New York, NY, United States. Electronic address: yg2121@columbia.edu.
Robert VorburgerInstitute of Applied Simulation, School of Life Sciences and Facility Management, Zürich University of Applied Sciences, 8820 Wädenswil, Switzerland.
Nikolaos ScarmeasThe Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; The Department of Neurology, Columbia University, New York, NY, United States; The Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States; National and Kapodistrian University of Athens Medical School, Athens, Greece.
José A LuchsingerThe Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; The Department of Neurology, Columbia University, New York, NY, United States; Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, United States; The Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University, New York, NY, United States.
Jennifer J ManlyThe Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; The Department of Neurology, Columbia University, New York, NY, United States; The Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States.
Nicole SchupfThe Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; The Department of Neurology, Columbia University, New York, NY, United States; The Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University, New York, NY, United States.
Richard MayeuxThe Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; The Department of Neurology, Columbia University, New York, NY, United States; The Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States; The Department of Epidemiology, Joseph P. Mailman School of Public Health, Columbia University, New York, NY, United States.
Adam M BrickmanThe Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, United States; The Department of Neurology, Columbia University, New York, NY, United States; The Gertrude H. Sergievsky Center, Columbia University, New York, NY, United States.
Columbia University · USZHAW Zurich University of Applied Sciences · CH

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
VASCULAR FACTORS AND MILD COGNITIVE IMPAIRMENT AND ALZHEIMER'S DISEASEP01AG007232 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SCHUPF, NICOLE · 1989 to 2008
$21.7M
Epidemiology of Biomarkers of Risk and Progression in LOADR01AG037212 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P, SCHUPF, NICOLE · 2010 to 2015
$10.1M
Genetic Epidemiology of Cerebrovascular Factors in Alzheimer's DiseaseRF1AG054023 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MAYEUX, RICHARD P · 2016 to 2018
$8.9M
White matter hyperintensities in Aging and DementiaR01AG034189 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRICKMAN, ADAM M · 2010 to 2014
$2.0M
Midcareer Award for Research in Dementia Risk Factors and PreventionK24AG045334 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Jose Alejandro Luchsinger · 2016 to 2026
$1.5M
White Matter Hyperintentisities in Aging and DementiaR56AG034189 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRICKMAN, ADAM M · 2016 to 2016
$793k
Dietary Factors and Neuroimaging MarkersR00AG042483 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GU, YIAN · 2015 to 2017
$727k
Dietary Factors and Neuroimaging MarkersK99AG042483 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GU, YIAN · 2013 to 2014
$202k
NCATS NIH HHS UL1 TR001873NIA NIH HHS K24 AG045334NIA NIH HHS K99 AG042483NIA NIH HHS P01 AG007232NIA NIH HHS R00 AG042483NIA NIH HHS R01 AG034189NIA NIH HHS R01 AG037212NIA NIH HHS R56 AG034189NIA NIH HHS RF1 AG054023
6 · The paper itself

Abstract

The aim of this investigation was to determine whether circulating inflammatory biomarkers c-reactive protein (CRP), interleukin-6 (IL6), and alpha 1-antichymotrypsin (ACT) were related to structural brain measures assessed by magnetic resonance imaging (MRI). High-resolution structural MRI was collected on 680 non-demented elderly (mean age 80.1years) participants of a community-based, multiethnic cohort. Approximately three quarters of these participants also had peripheral inflammatory biomarkers (CRP, IL6, and ACT) measured using ELISA. Structural measures including brain volumes and cortical thickness (with both global and regional measures) were derived from MRI scans, and repeated MRI measures were obtained after 4.5years. Mean fractional anisotropy was used as the indicator of white matter integrity assessed with diffusion tensor imaging. We examined the association of inflammatory biomarkers with brain volume, cortical thickness, and white matter integrity using regression models adjusted for age, gender, ethnicity, education, APOE genotype, and intracranial volume. A doubling in CRP (b=-2.48, p=0.002) was associated with a smaller total gray matter volume, equivalent to approximately 1.5years of aging. A doubling in IL6 was associated with smaller total brain volume (b=-14.96, p<0.0001), equivalent to approximately 9years of aging. Higher IL6 was also associated with smaller gray matter (b=-6.52, p=0.002) and white matter volumes (b=-7.47, p=0.004). The volumes of most cortical regions including frontal, occipital, parietal, temporal, as well as subcortical regions including pallidum and thalamus were associated with IL6. In a model additionally adjusted for depression, vascular factors, BMI, and smoking status, the association between IL6 and brain volumes remained, and a doubling in ACT was marginally associated with 0.054 (p=0.001) millimeter thinner mean cortical thickness, equivalent to that of approximately 2.7years of aging. None of the biomarkers was associated with mean fractional anisotropy or longitudinal change of brain volumes and thickness. Among older adults, increased circulating inflammatory biomarkers were associated with smaller brain volume and cortical thickness but not the white matter tract integrity. Our preliminary findings suggest that peripheral inflammatory processes may be involved in the brain atrophy in the elderly.

Indexed as

AgedAged, 80 and overalpha 1-AntichymotrypsinAtrophyBiomarkersBrainCohort StudiesC-Reactive ProteinDiffusion Tensor ImagingFemaleGray MatterHealthy VolunteersHumansInflammationInterleukin-6Longitudinal Studiesalpha 1-AntichymotrypsinBiomarkersC-Reactive ProteinIL6 protein, humanInterleukin-6Alpha 1-antichymotrypsinBrain atrophyBrain morphometryCortical thicknessC-reactive proteinInterleukin-6Magnetic resonance imagingNeuroepidemiology

Identifiers

PMID28457809
PMCPMC5537030
OpenAlexW2608727369

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.