Literature DB >> 26494694

A Potential Biomarker in Amyotrophic Lateral Sclerosis: Can Assessment of Brain Iron Deposition with SWI and Corticospinal Tract Degeneration with DTI Help?

R Sheelakumari1, M Madhusoodanan1, A Radhakrishnan1, G Ranjith2, B Thomas3.   

Abstract

BACKGROUND AND
PURPOSE: Iron-mediated oxidative stress plays a pivotal role in the pathogenesis of amyotrophic lateral sclerosis. This study aimed to assess iron deposition qualitatively and quantitatively by using SWI and microstructural changes in the corticospinal tract by using DTI in patients with amyotrophic lateral sclerosis.
MATERIALS AND METHODS: Seventeen patients with amyotrophic lateral sclerosis and 15 age- and sex-matched controls underwent brain MR imaging with SWI and DTI. SWI was analyzed for both signal-intensity scoring and quantitative estimation of iron deposition in the anterior and posterior banks of the motor and sensory cortices and deep gray nuclei. The diffusion measurements along the corticospinal tract at the level of pons and medulla were obtained by ROI analysis.
RESULTS: Patients with amyotrophic lateral sclerosis showed reduced signal-intensity grades in the posterior bank of the motor cortex bilaterally. Quantitative analysis confirmed significantly higher iron content in the posterior bank of the motor cortex in patients with amyotrophic lateral sclerosis. In contrast, no significant differences were noted for the anterior bank of the motor cortex, anterior and posterior banks of the sensory cortex, and deep nuclei. Receiver operating characteristic comparison showed a cutoff of 35μg Fe/g of tissue with an area under the curve of 0.78 (P = .008) for the posterior bank of the motor cortex in discriminating patients with amyotrophic lateral sclerosis from controls. Fractional anisotropy was lower in the pyramidal tracts of patients with amyotrophic lateral sclerosis at the pons and medulla on either side, along with higher directionally averaged mean diffusivity values. The combination of SWI and DTI revealed an area under the curve of 0.784 for differentiating patients with amyotrophic lateral sclerosis from controls.
CONCLUSIONS: Measurements of motor cortex iron deposition and diffusion tensor parameters of the corticospinal tract may be useful biomarkers for the diagnosis of clinically suspected amyotrophic lateral sclerosis.
© 2016 by American Journal of Neuroradiology.

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Year:  2015        PMID: 26494694     DOI: 10.3174/ajnr.A4524

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  11 in total

1.  Motor cortex hypointensity on susceptibility-weighted imaging: a potential imaging marker of iron accumulation in patients with cognitive impairment.

Authors:  Mina Park; Yeonsil Moon; Seol-Heui Han; Won-Jin Moon
Journal:  Neuroradiology       Date:  2019-01-28       Impact factor: 2.804

2.  Quantitative susceptibility mapping of the motor cortex: a comparison of susceptibility among patients with amyotrophic lateral sclerosis, cerebrovascular disease, and healthy controls.

Authors:  Ji Young Lee; Young-Jun Lee; Dong Woo Park; Yoonho Nam; Seung Hyun Kim; Jinseok Park; Young Seo Kim; Hyun Young Kim; Ki-Wook Oh
Journal:  Neuroradiology       Date:  2017-10-11       Impact factor: 2.804

3.  Assessment of Iron Deposition in the Brain in Frontotemporal Dementia and Its Correlation with Behavioral Traits.

Authors:  R Sheelakumari; C Kesavadas; T Varghese; R M Sreedharan; B Thomas; J Verghese; P S Mathuranath
Journal:  AJNR Am J Neuroradiol       Date:  2017-08-24       Impact factor: 3.825

4.  Iron quantitative analysis of motor combined with bulbar region in M1 cortex may improve diagnosis performance in ALS.

Authors:  Yifang Bao; Yan Chen; Sirong Piao; Bin Hu; Liqin Yang; Haiqing Li; Daoying Geng; Yuxin Li
Journal:  Eur Radiol       Date:  2022-08-11       Impact factor: 7.034

Review 5.  Cerebral Iron Deposition in Neurodegeneration.

Authors:  Petr Dusek; Tim Hofer; Jan Alexander; Per M Roos; Jan O Aaseth
Journal:  Biomolecules       Date:  2022-05-17

Review 6.  Imaging Biomarkers for the Diagnosis and Prognosis of Neurodegenerative Diseases. The Example of Amyotrophic Lateral Sclerosis.

Authors:  Miguel Mazón; Juan Francisco Vázquez Costa; Amadeo Ten-Esteve; Luis Martí-Bonmatí
Journal:  Front Neurosci       Date:  2018-10-25       Impact factor: 4.677

Review 7.  No effects without causes: the Iron Dysregulation and Dormant Microbes hypothesis for chronic, inflammatory diseases.

Authors:  Douglas B Kell; Etheresia Pretorius
Journal:  Biol Rev Camb Philos Soc       Date:  2018-03-25

8.  Tract integrity in amyotrophic lateral sclerosis: 6-month evaluation using MR diffusion tensor imaging.

Authors:  Ashwag R Alruwaili; Kerstin Pannek; Robert D Henderson; Marcus Gray; Nyoman D Kurniawan; Pamela A McCombe
Journal:  BMC Med Imaging       Date:  2019-02-22       Impact factor: 1.930

Review 9.  Novel insights into ferroptosis: Implications for age-related diseases.

Authors:  Ren-Peng Zhou; Yong Chen; Xin Wei; Bin Yu; Zhi-Gang Xiong; Chao Lu; Wei Hu
Journal:  Theranostics       Date:  2020-10-26       Impact factor: 11.556

Review 10.  Anti-inflammatory and Neuroprotective Agents in Clinical Trials for CNS Disease and Injury: Where Do We Go From Here?

Authors:  Khalil Mallah; Christine Couch; Davis M Borucki; Amer Toutonji; Mohammed Alshareef; Stephen Tomlinson
Journal:  Front Immunol       Date:  2020-09-10       Impact factor: 7.561

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