Literature DB >> 25724201

Differentiation and quantification of inflammation, demyelination and axon injury or loss in multiple sclerosis.

Yong Wang1, Peng Sun2, Qing Wang2, Kathryn Trinkaus2, Robert E Schmidt2, Robert T Naismith2, Anne H Cross3, Sheng-Kwei Song1.   

Abstract

Axon injury/loss, demyelination and inflammation are the primary pathologies in multiple sclerosis lesions. Despite the prevailing notion that axon/neuron loss is the substrate of clinical progression of multiple sclerosis, the roles that these individual pathological processes play in multiple sclerosis progression remain to be defined. An imaging modality capable to effectively detect, differentiate and individually quantify axon injury/loss, demyelination and inflammation, would not only facilitate the understanding of the pathophysiology underlying multiple sclerosis progression, but also the assessment of treatments at the clinical trial and individual patient levels. In this report, the newly developed diffusion basis spectrum imaging was used to discriminate and quantify the underlying pathological components in multiple sclerosis white matter. Through the multiple-tensor modelling of diffusion weighted magnetic resonance imaging signals, diffusion basis spectrum imaging resolves inflammation-associated cellularity and vasogenic oedema in addition to accounting for partial volume effects resulting from cerebrospinal fluid contamination, and crossing fibres. Quantitative histological analysis of autopsied multiple sclerosis spinal cord specimens supported that diffusion basis spectrum imaging-determined cellularity, axon and myelin injury metrics closely correlated with those pathologies identified and quantified by conventional histological staining. We demonstrated in healthy control subjects that diffusion basis spectrum imaging rectified inaccurate assessments of diffusion properties of white matter tracts by diffusion tensor imaging in the presence of cerebrospinal fluid contamination and/or crossing fibres. In multiple sclerosis patients, we report that diffusion basis spectrum imaging quantitatively characterized the distinct pathologies underlying gadolinium-enhanced lesions, persistent black holes, non-enhanced lesions and non-black hole lesions, a task yet to be demonstrated by other neuroimaging approaches. Diffusion basis spectrum imaging-derived radial diffusivity (myelin integrity marker) and non-restricted isotropic diffusion fraction (oedema marker) correlated with magnetization transfer ratio, supporting previous reports that magnetization transfer ratio is sensitive not only to myelin integrity, but also to inflammation-associated oedema. Our results suggested that diffusion basis spectrum imaging-derived quantitative biomarkers are highly consistent with histology findings and hold promise to accurately characterize the heterogeneous white matter pathology in multiple sclerosis patients. Thus, diffusion basis spectrum imaging can potentially serve as a non-invasive outcome measure to assess treatment effects on the specific components of underlying pathology targeted by new multiple sclerosis therapies.
© The Author (2015). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  diffusion basis spectrum imaging; diffusion tensor imaging; inflammation; multiple sclerosis; white matter injury

Mesh:

Year:  2015        PMID: 25724201      PMCID: PMC4407189          DOI: 10.1093/brain/awv046

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  84 in total

1.  Rostrocaudal analysis of corpus callosum demyelination and axon damage across disease stages refines diffusion tensor imaging correlations with pathological features.

Authors:  Mingqiang Xie; Jennifer E Tobin; Matthew D Budde; Chin-I Chen; Kathryn Trinkaus; Anne H Cross; Dennis P McDaniel; Sheng-Kwei Song; Regina C Armstrong
Journal:  J Neuropathol Exp Neurol       Date:  2010-07       Impact factor: 3.685

2.  Generalized q-sampling imaging.

Authors:  Fang-Cheng Yeh; Van Jay Wedeen; Wen-Yih Isaac Tseng
Journal:  IEEE Trans Med Imaging       Date:  2010-03-18       Impact factor: 10.048

3.  Diffusion tensor imaging with cerebrospinal fluid suppression and signal-to-noise preservation using acquisition combining fluid-attenuated inversion recovery and conventional imaging: comparison of fiber tracking.

Authors:  Yen-Wei Cheng; Hsiao-Wen Chung; Cheng-Yu Chen; Ming-Chung Chou
Journal:  Eur J Radiol       Date:  2010-02-04       Impact factor: 3.528

4.  Quantitative magnetization transfer imaging in human brain at 3 T via selective inversion recovery.

Authors:  Richard D Dortch; Ke Li; Daniel F Gochberg; E Brian Welch; Adrienne N Dula; Ashish A Tamhane; John C Gore; Seth A Smith
Journal:  Magn Reson Med       Date:  2011-05-23       Impact factor: 4.668

5.  Is the magnetization transfer ratio a marker for myelin in multiple sclerosis?

Authors:  Irene M Vavasour; Cornelia Laule; David K B Li; Anthony L Traboulsee; Alex L MacKay
Journal:  J Magn Reson Imaging       Date:  2011-02-01       Impact factor: 4.813

6.  In vivo imaging of neuroinflammation in the rodent brain with [11C]SSR180575, a novel indoleacetamide radioligand of the translocator protein (18 kDa).

Authors:  Fabien Chauveau; Hervé Boutin; Nadja Van Camp; Cyrille Thominiaux; Philippe Hantraye; Luc Rivron; Frank Marguet; Marie-Noëlle Castel; Thomas Rooney; Jesus Benavides; Frédéric Dollé; Bertrand Tavitian
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-10-09       Impact factor: 9.236

7.  Longitudinal near-infrared imaging of myelination.

Authors:  Changning Wang; Chunying Wu; Daniela C Popescu; Junqing Zhu; Wendy B Macklin; Robert H Miller; Yanming Wang
Journal:  J Neurosci       Date:  2011-02-16       Impact factor: 6.167

8.  Bound pool fractions complement diffusion measures to describe white matter micro and macrostructure.

Authors:  Nikola Stikov; Lee M Perry; Aviv Mezer; Elena Rykhlevskaia; Brian A Wandell; John M Pauly; Robert F Dougherty
Journal:  Neuroimage       Date:  2010-09-07       Impact factor: 6.556

9.  Reduced NAA-levels in the NAWM of patients with MS is a feature of progression. A study with quantitative magnetic resonance spectroscopy at 3 Tesla.

Authors:  Fahmy Aboul-Enein; Martin Krssák; Romana Höftberger; Daniela Prayer; Wolfgang Kristoferitsch
Journal:  PLoS One       Date:  2010-07-20       Impact factor: 3.240

10.  Fast bound pool fraction imaging of the in vivo rat brain: association with myelin content and validation in the C6 glioma model.

Authors:  Hunter R Underhill; Robert C Rostomily; Andrei M Mikheev; Chun Yuan; Vasily L Yarnykh
Journal:  Neuroimage       Date:  2010-10-26       Impact factor: 6.556

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  64 in total

Review 1.  Advanced neuroimaging applied to veterans and service personnel with traumatic brain injury: state of the art and potential benefits.

Authors:  Elisabeth A Wilde; Sylvain Bouix; David F Tate; Alexander P Lin; Mary R Newsome; Brian A Taylor; James R Stone; James Montier; Samuel E Gandy; Brian Biekman; Martha E Shenton; Gerald York
Journal:  Brain Imaging Behav       Date:  2015-09       Impact factor: 3.978

2.  Noninvasive Quantification of Axonal Loss in the Presence of Tissue Swelling in Traumatic Spinal Cord Injury Mice.

Authors:  Tsen-Hsuan Lin; Peng Sun; Mitchell Hallman; Fay C Hwang; Michael Wallendorf; Wilson Z Ray; William M Spees; Sheng-Kwei Song
Journal:  J Neurotrauma       Date:  2019-01-11       Impact factor: 5.269

3.  In Vivo Evaluation of White Matter Integrity and Anterograde Transport in Visual System After Excitotoxic Retinal Injury With Multimodal MRI and OCT.

Authors:  Leon C Ho; Bo Wang; Ian P Conner; Yolandi van der Merwe; Richard A Bilonick; Seong-Gi Kim; Ed X Wu; Ian A Sigal; Gadi Wollstein; Joel S Schuman; Kevin C Chan
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-06       Impact factor: 4.799

4.  Restriction spectrum imaging reveals decreased neurite density in patients with temporal lobe epilepsy.

Authors:  Richard Q Loi; Kelly M Leyden; Akshara Balachandra; Vedang Uttarwar; Donald J Hagler; Brianna M Paul; Anders M Dale; Nathan S White; Carrie R McDonald
Journal:  Epilepsia       Date:  2016-10-13       Impact factor: 5.864

5.  Yet more evidence that myelin protons can be directly imaged with UTE sequences on a clinical 3T scanner: Bicomponent T2* analysis of native and deuterated ovine brain specimens.

Authors:  Shu-Juan Fan; Yajun Ma; Yanchun Zhu; Adam Searleman; Nikolaus M Szeverenyi; Graeme M Bydder; Jiang Du
Journal:  Magn Reson Med       Date:  2017-12-21       Impact factor: 4.668

Review 6.  Advanced Multicompartment Diffusion MRI Models and Their Application in Multiple Sclerosis.

Authors:  D A Lakhani; K G Schilling; J Xu; F Bagnato
Journal:  AJNR Am J Neuroradiol       Date:  2020-04-30       Impact factor: 3.825

7.  Quantitative validation of a nonlinear histology-MRI coregistration method using generalized Q-sampling imaging in complex human cortical white matter.

Authors:  Mihika Gangolli; Laurena Holleran; Joong Hee Kim; Thor D Stein; Victor Alvarez; Ann C McKee; David L Brody
Journal:  Neuroimage       Date:  2017-03-30       Impact factor: 6.556

8.  Intensity ratio to improve black hole assessment in multiple sclerosis.

Authors:  Gautam Adusumilli; Kathryn Trinkaus; Peng Sun; Samantha Lancia; Jeffrey D Viox; Jie Wen; Robert T Naismith; Anne H Cross
Journal:  Mult Scler Relat Disord       Date:  2017-12-02       Impact factor: 4.339

Review 9.  "A new imaging modality to non-invasively assess multiple sclerosis pathology".

Authors:  Anne H Cross; Sheng-Kwei Song
Journal:  J Neuroimmunol       Date:  2016-10-08       Impact factor: 3.478

10.  Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology.

Authors:  Zezhong Ye; Richard L Price; Xiran Liu; Joshua Lin; Qingsong Yang; Peng Sun; Anthony T Wu; Liang Wang; Rowland H Han; Chunyu Song; Ruimeng Yang; Sam E Gary; Diane D Mao; Michael Wallendorf; Jian L Campian; Jr-Shin Li; Sonika Dahiya; Albert H Kim; Sheng-Kwei Song
Journal:  Clin Cancer Res       Date:  2020-07-21       Impact factor: 12.531

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