↓ Skip to main content

Brain morphometric correlates of metabolic variables in HIV: the CHARTER study

Overview of attention for article published in Journal of NeuroVirology, September 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
54 Mendeley
Title
Brain morphometric correlates of metabolic variables in HIV: the CHARTER study
Published in
Journal of NeuroVirology, September 2014
DOI 10.1007/s13365-014-0284-0
Pubmed ID
Authors

S. L. Archibald, J. A. McCutchan, C. Sanders, T. Wolfson, T. L. Jernigan, R. J. Ellis, B. M. Ances, A. C. Collier, J. C. McArthur, S. Morgello, D. M. Simpson, C. Marra, B. B. Gelman, D. B. Clifford, I. Grant, C. Fennema-Notestine

Abstract

Obesity and other metabolic variables are associated with abnormal brain structural volumes and cognitive dysfunction in HIV-uninfected populations. Since individuals with HIV infection on combined antiretroviral therapy (CART) often have systemic metabolic abnormalities and changes in brain morphology and function, we examined associations among brain volumes and metabolic factors in the multisite CNS HIV AntiRetroviral Therapy Effects Research (CHARTER) cohort, cross-sectional study of 222 HIV-infected individuals. Metabolic variables included body mass index (BMI), total blood cholesterol (C), low- and high-density lipoprotein C (LDL-C and HDL-C), blood pressure, random blood glucose, and diabetes. MRI measured volumes of cerebral white matter, abnormal white matter, cortical and subcortical gray matter, and ventricular and sulcal CSF. Multiple linear regression models allowed us to examine metabolic variables separately and in combination to predict each regional volume. Greater BMI was associated with smaller cortical gray and larger white matter volumes. Higher total cholesterol (C) levels were associated with smaller cortex volumes; higher LDL-C was associated with larger cerebral white matter volumes, while higher HDL-C levels were associated with larger sulci. Higher blood glucose levels and diabetes were associated with more abnormal white matter. Multiple atherogenic metabolic factors contribute to regional brain volumes in HIV-infected, CART-treated patients, reflecting associations similar to those found in HIV-uninfected individuals. These risk factors may accelerate cerebral atherosclerosis and consequent brain alterations and cognitive dysfunction.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
United States 1 2%
Unknown 52 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Master 10 19%
Professor 7 13%
Student > Ph. D. Student 6 11%
Student > Bachelor 3 6%
Other 9 17%
Unknown 7 13%
Readers by discipline Count As %
Medicine and Dentistry 13 24%
Neuroscience 7 13%
Psychology 5 9%
Nursing and Health Professions 4 7%
Immunology and Microbiology 3 6%
Other 10 19%
Unknown 12 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 September 2014.
All research outputs
#18,378,085
of 22,763,032 outputs
Outputs from Journal of NeuroVirology
#653
of 925 outputs
Outputs of similar age
#177,684
of 249,473 outputs
Outputs of similar age from Journal of NeuroVirology
#10
of 19 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 925 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 249,473 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.