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Metal and complementary molecular bioimaging in Alzheimer's disease

Overview of attention for article published in Frontiers in Aging Neuroscience, July 2014
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Metal and complementary molecular bioimaging in Alzheimer's disease
Published in
Frontiers in Aging Neuroscience, July 2014
DOI 10.3389/fnagi.2014.00138
Pubmed ID
Authors

Nady Braidy, Anne Poljak, Christopher Marjo, Helen Rutlidge, Anne Rich, Tharusha Jayasena, Nibaldo C. Inestrosa, Perminder Sachdev

Abstract

Alzheimer's disease (AD) is the leading cause of dementia in the elderly, affecting over 27 million people worldwide. AD represents a complex neurological disorder which is best understood as the consequence of a number of interconnected genetic and lifestyle variables, which culminate in multiple changes to brain structure and function. These can be observed on a gross anatomical level in brain atrophy, microscopically in extracellular amyloid plaque and neurofibrillary tangle formation, and at a functional level as alterations of metabolic activity. At a molecular level, metal dyshomeostasis is frequently observed in AD due to anomalous binding of metals such as Iron (Fe), Copper (Cu), and Zinc (Zn), or impaired regulation of redox-active metals which can induce the formation of cytotoxic reactive oxygen species and neuronal damage. Metal chelators have been administered therapeutically in transgenic mice models for AD and in clinical human AD studies, with positive outcomes. As a result, neuroimaging of metals in a variety of intact brain cells and tissues is emerging as an important tool for increasing our understanding of the role of metal dysregulation in AD. Several imaging techniques have been used to study the cerebral metallo-architecture in biological specimens to obtain spatially resolved data on chemical elements present in a sample. Hyperspectral techniques, such as particle-induced X-ray emission (PIXE), energy dispersive X-ray spectroscopy (EDS), X-ray fluorescence microscopy (XFM), synchrotron X-ray fluorescence (SXRF), secondary ion mass spectrometry (SIMS), and laser ablation inductively coupled mass spectrometry (LA-ICPMS) can reveal relative intensities and even semi-quantitative concentrations of a large set of elements with differing spatial resolution and detection sensitivities. Other mass spectrometric and spectroscopy imaging techniques such as laser ablation electrospray ionization mass spectrometry (LA ESI-MS), MALDI imaging mass spectrometry (MALDI-IMS), and Fourier transform infrared spectroscopy (FTIR) can be used to correlate changes in elemental distribution with the underlying pathology in AD brain specimens. Taken together, these techniques provide new techniques to probe the pathobiology of AD and pave the way for identifying new therapeutic targets. The current review aims to discuss the advantages and challenges of using these emerging elemental and molecular imaging techniques, and highlight clinical achievements in AD research using bioimaging techniques.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
India 1 <1%
Poland 1 <1%
Estonia 1 <1%
Unknown 134 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 17%
Student > Master 19 14%
Researcher 18 13%
Student > Bachelor 14 10%
Other 7 5%
Other 27 20%
Unknown 29 21%
Readers by discipline Count As %
Chemistry 25 18%
Agricultural and Biological Sciences 16 12%
Neuroscience 14 10%
Medicine and Dentistry 13 9%
Biochemistry, Genetics and Molecular Biology 10 7%
Other 19 14%
Unknown 41 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 November 2023.
All research outputs
#8,047,042
of 24,871,898 outputs
Outputs from Frontiers in Aging Neuroscience
#3,016
of 5,351 outputs
Outputs of similar age
#72,792
of 232,587 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#38
of 77 outputs
Altmetric has tracked 24,871,898 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 5,351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 43rd percentile – i.e., 43% 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 232,587 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.