Literature DB >> 30168727

Validation of a Muscle-Specific Tissue Image Analysis Tool for Quantitative Assessment of Dystrophin Staining in Frozen Muscle Biopsies.

Famke Aeffner1, Crystal Faelan1, Steven A Moore1, Alexander Moody1, Joshua C Black1, Jay S Charleston1, Diane E Frank1, Johannes Dworzak1, J Kris Piper1, Manish Ranjitkar1, Kristin Wilson1, Suzanne Kanaly1, Daniel G Rudmann1, Holger Lange1, G David Young1, Anthony J Milici1.   

Abstract

CONTEXT.—: Duchenne muscular dystrophy is a rare, progressive, and fatal neuromuscular disease caused by dystrophin protein loss. Common investigational treatment approaches aim at increasing dystrophin expression in diseased muscle. Some clinical trials include assessments of novel dystrophin production as a surrogate biomarker of efficacy, which may predict a clinical benefit from treatment. OBJECTIVES.—: To establish an immunofluorescent scanning and digital image analysis workflow that provides an objective approach for staining intensity assessment of the immunofluorescence dystrophin labeling and determination of the percentage of biomarker-positive fibers in muscle cryosections. DESIGN.—: Optimal and repeatable digital image capture was achieved by a rigorously qualified fluorescent scanning process. After scanning qualification, the MuscleMap (Flagship Biosciences, Westminster, Colorado) algorithm was validated by comparing high-power microscopic field total and dystrophin-positive fiber counts obtained by trained pathologists to data derived by MuscleMap. Next, the algorithm was tested on whole-slide images of immunofluorescent-labeled muscle sections from Duchenne muscular dystrophy, Becker muscular dystrophy, and control patients. RESULTS.—: When used under the guidance of a trained pathologist, the digital image analysis tool met predefined validation criteria and demonstrated functional and statistical equivalence with manual assessment. This work is the first, to our knowledge, to qualify and validate immunofluorescent scanning and digital tissue image-analysis workflow, respectively, with the rigor required to support the clinical trial environments. CONCLUSIONS.—: MuscleMap enables analysis of all fibers within an entire muscle biopsy section and provides data on a fiber-by-fiber basis. This will allow future clinical trials to objectively investigate myofibers' dystrophin expression at a greater level of consistency and detail.

Entities:  

Year:  2018        PMID: 30168727      PMCID: PMC6813837          DOI: 10.5858/arpa.2017-0536-OA

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  21 in total

Review 1.  Virtual microscopy as an enabler of automated/quantitative assessment of protein expression in TMAs.

Authors:  Catherine Conway; Lynne Dobson; Anthony O'Grady; Elaine Kay; Sean Costello; Daniel O'Shea
Journal:  Histochem Cell Biol       Date:  2008-08-05       Impact factor: 4.304

2.  Quantification of dystrophin immunofluorescence in dystrophinopathy muscle specimens.

Authors:  L E Taylor; Y J Kaminoh; C K Rodesch; K M Flanigan
Journal:  Neuropathol Appl Neurobiol       Date:  2012-10       Impact factor: 8.090

3.  Revertant fibres and dystrophin traces in Duchenne muscular dystrophy: implication for clinical trials.

Authors:  Virginia Arechavala-Gomeza; Maria Kinali; Lucy Feng; Michela Guglieri; Geraldine Edge; Marion Main; David Hunt; Jan Lehovsky; Volker Straub; Kate Bushby; Caroline A Sewry; Jennifer E Morgan; Francesco Muntoni
Journal:  Neuromuscul Disord       Date:  2010-04-14       Impact factor: 4.296

Review 4.  A Systematic Review and Meta-analysis on the Epidemiology of the Muscular Dystrophies.

Authors:  Jean K Mah; Lawrence Korngut; Kirsten M Fiest; Jonathan Dykeman; Lundy J Day; Tamara Pringsheim; Nathalie Jette
Journal:  Can J Neurol Sci       Date:  2016-01       Impact factor: 2.104

5.  Heterogeneity of dystrophin expression in patients with Duchenne and Becker muscular dystrophy.

Authors:  L V Nicholson; M A Johnson; D Gardner-Medwin; S Bhattacharya; J B Harris
Journal:  Acta Neuropathol       Date:  1990       Impact factor: 17.088

6.  Functional significance of dystrophin positive fibres in Duchenne muscular dystrophy.

Authors:  L V Nicholson; M A Johnson; K M Bushby; D Gardner-Medwin
Journal:  Arch Dis Child       Date:  1993-05       Impact factor: 3.791

7.  Mutational spectrum of DMD mutations in dystrophinopathy patients: application of modern diagnostic techniques to a large cohort.

Authors:  Kevin M Flanigan; Diane M Dunn; Andrew von Niederhausern; Payam Soltanzadeh; Eduard Gappmaier; Michael T Howard; Jacinda B Sampson; Jerry R Mendell; Cheryl Wall; Wendy M King; Alan Pestronk; Julaine M Florence; Anne M Connolly; Katherine D Mathews; Carrie M Stephan; Karla S Laubenthal; Brenda L Wong; Paula J Morehart; Amy Meyer; Richard S Finkel; Carsten G Bonnemann; Livija Medne; John W Day; Joline C Dalton; Marcia K Margolis; Veronica J Hinton; Robert B Weiss
Journal:  Hum Mutat       Date:  2009-12       Impact factor: 4.878

8.  Dystrophin as a diagnostic marker in Duchenne and Becker muscular dystrophy. Correlation of immunofluorescence and western blot.

Authors:  T Voit; P Stuettgen; M Cremer; H H Goebel
Journal:  Neuropediatrics       Date:  1991-08       Impact factor: 1.947

Review 9.  Population frequencies of neuromuscular diseases--II. Amyotrophic lateral sclerosis (motor neurone disease).

Authors:  A E Emery
Journal:  Neuromuscul Disord       Date:  1991       Impact factor: 4.296

10.  A sensitive, reproducible and objective immunofluorescence analysis method of dystrophin in individual fibers in samples from patients with duchenne muscular dystrophy.

Authors:  Chantal Beekman; Jessica A Sipkens; Janwillem Testerink; Stavros Giannakopoulos; Dyonne Kreuger; Judith C van Deutekom; Giles V Campion; Sjef J de Kimpe; Afrodite Lourbakos
Journal:  PLoS One       Date:  2014-09-22       Impact factor: 3.240

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  6 in total

Review 1.  Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association.

Authors:  Famke Aeffner; Mark D Zarella; Nathan Buchbinder; Marilyn M Bui; Matthew R Goodman; Douglas J Hartman; Giovanni M Lujan; Mariam A Molani; Anil V Parwani; Kate Lillard; Oliver C Turner; Venkata N P Vemuri; Ana G Yuil-Valdes; Douglas Bowman
Journal:  J Pathol Inform       Date:  2019-03-08

2.  Quantitative immuno-mass spectrometry imaging of skeletal muscle dystrophin.

Authors:  David P Bishop; Mika T Westerhausen; Florian Barthelemy; Thomas Lockwood; Nerida Cole; Elizabeth M Gibbs; Rachelle H Crosbie; Stanley F Nelson; M Carrie Miceli; Philip A Doble; Jonathan Wanagat
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

3.  High-Throughput Digital Image Analysis Reveals Distinct Patterns of Dystrophin Expression in Dystrophinopathy Patients.

Authors:  Silvia Torelli; Domenic Scaglioni; Valentina Sardone; Matthew J Ellis; Joana Domingos; Adam Jones; Lucy Feng; Darren Chambers; Deborah M Eastwood; France Leturcq; Rabah Ben Yaou; Andoni Urtizberea; Pascal Sabouraud; Christine Barnerias; Tanya Stojkovic; Enzo Ricci; Maud Beuvin; Gisele Bonne; Caroline A Sewry; Tracey Willis; Richa Kulshrestha; Giorgio Tasca; Rahul Phadke; Jennifer E Morgan; Francesco Muntoni
Journal:  J Neuropathol Exp Neurol       Date:  2021-10-26       Impact factor: 3.685

4.  Automated immunofluorescence analysis for sensitive and precise dystrophin quantification in muscle biopsies.

Authors:  Tatyana A Vetter; Stefan Nicolau; Adrienne J Bradley; Emma C Frair; Kevin M Flanigan
Journal:  Neuropathol Appl Neurobiol       Date:  2021-12-28       Impact factor: 6.250

5.  Immunofluorescence signal intensity measurements as a semi-quantitative tool to assess sarcoglycan complex expression in muscle biopsy.

Authors:  Simona Zanotti; Francesca Magri; Francesca Poggetti; Michela Ripolone; Daniele Velardo; Francesco Fortunato; Patrizia Ciscato; Maurizio Moggio; Stefania Corti; Giacomo Pietro Comi; Monica Sciacco
Journal:  Eur J Histochem       Date:  2022-09-01       Impact factor: 1.966

6.  A high-throughput digital script for multiplexed immunofluorescent analysis and quantification of sarcolemmal and sarcomeric proteins in muscular dystrophies.

Authors:  Dominic Scaglioni; Matthew Ellis; Francesco Catapano; Silvia Torelli; Darren Chambers; Lucy Feng; Caroline Sewry; Jennifer Morgan; Francesco Muntoni; Rahul Phadke
Journal:  Acta Neuropathol Commun       Date:  2020-04-17       Impact factor: 7.801

  6 in total

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