Laser ablation-inductively coupled plasma-mass spectrometry imaging of white and gray matter iron distribution in Alzheimer's disease frontal cortex

DJ Hare; EP Raven; BR Roberts; M Bogeski; SD Portbury; CA McLean; CL Masters; JR Connor; AI Bush; PJ Crouch; PA Doble

Journal article

Laser ablation-inductively coupled plasma-mass spectrometry imaging of white and gray matter iron distribution in Alzheimer's disease frontal cortex

DJ Hare, EP Raven, BR Roberts, M Bogeski, SD Portbury, CA McLean, CL Masters, JR Connor, AI Bush, PJ Crouch, PA Doble

Neuroimage | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2016

DOI: 10.1016/j.neuroimage.2016.05.057

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Abstract

Iron deposition in the brain is a feature of normal aging, though in several neurodegenerative disorders, including Alzheimer's disease, the rate of iron accumulation is more advanced than in age-matched controls. Using laser ablation-inductively coupled plasma-mass spectrometry imaging we present here a pilot study that quantitatively assessed the iron content of white and gray matter in paraffin-embedded sections from the frontal cortex of Alzheimer's and control subjects. Using the phosphorus image as a confirmed proxy for the white/gray matter boundary, we found that increased intrusion of iron into gray matter occurs in the Alzheimer's brain compared to controls, which may be indicative..

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University of Melbourne Researchers

Dominic Hare Author

Catriona McLean Author

Ashley Bush Author

Peter Crouch Author

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Awarded by Victorian Brain Bank

Funding Acknowledgements

The authors would like to thank Dr. Ian Birchall and Dr. Jeff Duyn for their helpful advice, and Ms. Fairlie Hilton of the Victorian Brain Bank Network for her assistance with case notes. D.J.H. and P.A.D. are supported by funds from Australian Research Council Linkage Project (LP120200081) in conjunction with ESI Ltd. and Agilent Technologies. D.J.H. and B.R.R. are additionally supported through Australian Research Council Linkage Project (LP140100095) with Agilent Technologies. E.P.R. is supported by the National Science Foundation Graduate Research Fellowship under Grant No. DGE-1444316. P.J.C. is supported by funds from the National Health and Medical Research Council (1005651 and 1061550). We gratefully acknowledge the support of the Victorian Government's Operational Infrastructure Support Program and the Victorian Brain Bank Network.