Literature DB >> 29192261

Parkinson disease: Blood transcriptomics for Parkinson disease?

Alice S Chen-Plotkin1.   

Abstract

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Mesh:

Year:  2017        PMID: 29192261      PMCID: PMC5831123          DOI: 10.1038/nrneurol.2017.166

Source DB:  PubMed          Journal:  Nat Rev Neurol        ISSN: 1759-4758            Impact factor:   42.937


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  10 in total

1.  Advanced microarray analysis highlights modified neuro-immune signaling in nucleated blood cells from Parkinson's disease patients.

Authors:  Lilach Soreq; Zvi Israel; Hagai Bergman; Hermona Soreq
Journal:  J Neuroimmunol       Date:  2008-08-08       Impact factor: 3.478

Review 2.  The role of dopaminergic imaging in patients with symptoms of dopaminergic system neurodegeneration.

Authors:  Jeffrey L Cummings; Claire Henchcliffe; Sharon Schaier; Tanya Simuni; Alan Waxman; Paul Kemp
Journal:  Brain       Date:  2011-08-02       Impact factor: 13.501

3.  Network-based metaanalysis identifies HNF4A and PTBP1 as longitudinally dynamic biomarkers for Parkinson's disease.

Authors:  Jose A Santiago; Judith A Potashkin
Journal:  Proc Natl Acad Sci U S A       Date:  2015-02-02       Impact factor: 11.205

4.  Molecular markers of early Parkinson's disease based on gene expression in blood.

Authors:  Clemens R Scherzer; Aron C Eklund; Lee J Morse; Zhixiang Liao; Joseph J Locascio; Daniel Fefer; Michael A Schwarzschild; Michael G Schlossmacher; Michael A Hauser; Jeffery M Vance; Lewis R Sudarsky; David G Standaert; John H Growdon; Roderick V Jensen; Steven R Gullans
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-10       Impact factor: 11.205

5.  Analysis of blood-based gene expression in idiopathic Parkinson disease.

Authors:  Ron Shamir; Christine Klein; David Amar; Eva-Juliane Vollstedt; Michael Bonin; Marija Usenovic; Yvette C Wong; Ales Maver; Sven Poths; Hershel Safer; Jean-Christophe Corvol; Suzanne Lesage; Ofer Lavi; Günther Deuschl; Gregor Kuhlenbaeumer; Heike Pawlack; Igor Ulitsky; Meike Kasten; Olaf Riess; Alexis Brice; Borut Peterlin; Dimitri Krainc
Journal:  Neurology       Date:  2017-09-15       Impact factor: 9.910

Review 6.  Unbiased approaches to biomarker discovery in neurodegenerative diseases.

Authors:  Alice S Chen-Plotkin
Journal:  Neuron       Date:  2014-11-05       Impact factor: 17.173

Review 7.  The Parkinson Progression Marker Initiative (PPMI).

Authors: 
Journal:  Prog Neurobiol       Date:  2011-09-14       Impact factor: 10.885

8.  Low clinical diagnostic accuracy of early vs advanced Parkinson disease: clinicopathologic study.

Authors:  Charles H Adler; Thomas G Beach; Joseph G Hentz; Holly A Shill; John N Caviness; Erika Driver-Dunckley; Marwan N Sabbagh; Lucia I Sue; Sandra A Jacobson; Christine M Belden; Brittany N Dugger
Journal:  Neurology       Date:  2014-06-27       Impact factor: 9.910

9.  A molecular signature in blood identifies early Parkinson's disease.

Authors:  Leonid Molochnikov; Jose M Rabey; Evgenya Dobronevsky; Ubaldo Bonucelli; Roberto Ceravolo; Daniela Frosini; Edna Grünblatt; Peter Riederer; Christian Jacob; Judith Aharon-Peretz; Yulia Bashenko; Moussa B H Youdim; Silvia A Mandel
Journal:  Mol Neurodegener       Date:  2012-05-31       Impact factor: 14.195

10.  Blood Biomarkers Associated with Cognitive Decline in Early Stage and Drug-Naive Parkinson's Disease Patients.

Authors:  Jose A Santiago; Judith A Potashkin
Journal:  PLoS One       Date:  2015-11-13       Impact factor: 3.240

  10 in total
  3 in total

1.  A Machine Learning Approach to Parkinson's Disease Blood Transcriptomics.

Authors:  Ester Pantaleo; Alfonso Monaco; Nicola Amoroso; Angela Lombardi; Loredana Bellantuono; Daniele Urso; Claudio Lo Giudice; Ernesto Picardi; Benedetta Tafuri; Salvatore Nigro; Graziano Pesole; Sabina Tangaro; Giancarlo Logroscino; Roberto Bellotti
Journal:  Genes (Basel)       Date:  2022-04-21       Impact factor: 4.141

2.  Using predictive machine learning models for drug response simulation by calibrating patient-specific pathway signatures.

Authors:  Sepehr Golriz Khatami; Sarah Mubeen; Vinay Srinivas Bharadhwaj; Alpha Tom Kodamullil; Martin Hofmann-Apitius; Daniel Domingo-Fernández
Journal:  NPJ Syst Biol Appl       Date:  2021-10-27

3.  Multi-modality machine learning predicting Parkinson's disease.

Authors:  Mary B Makarious; Hampton L Leonard; Dan Vitale; Hirotaka Iwaki; Lana Sargent; Anant Dadu; Ivo Violich; Elizabeth Hutchins; David Saffo; Sara Bandres-Ciga; Jonggeol Jeff Kim; Yeajin Song; Melina Maleknia; Matt Bookman; Willy Nojopranoto; Roy H Campbell; Sayed Hadi Hashemi; Juan A Botia; John F Carter; David W Craig; Kendall Van Keuren-Jensen; Huw R Morris; John A Hardy; Cornelis Blauwendraat; Andrew B Singleton; Faraz Faghri; Mike A Nalls
Journal:  NPJ Parkinsons Dis       Date:  2022-04-01
  3 in total

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