1. Biomarkers predict outcome in Charcot-Marie-Tooth disease 1A
- Author
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Tim Beissbarth, Pavel Seeman, José Berciano, Radim Mazanec, Jana Haberlová, Jean-Yves Hogrel, Ana L. Pelayo-Negro, Rita Horvath, Robert Fledrich, Michael E. Shy, Peter Young, Walter Paulus, Davide Pareyson, Beate Schlotter-Weigel, Alessandra Solari, Dirk Czesnik, Thomas Prukop, Michael W. Sereda, Angelo Schenone, Maggie C. Walter, Tuuli J. Schnizer, Cmt Triaal, Manoj Mannil, Peter De Jonghe, Odile Dubourg, Natalia Garcia-Angarita, Andreas Leha, Caroline Ehbrecht, Jonathan Baets, and CMT-TRIAAL
- Subjects
Male ,0301 basic medicine ,Oncology ,Pathology ,Transcription, Genetic ,Biopsy ,Messenger ,Cathepsin A ,Disease ,0302 clinical medicine ,Charcot-Marie-Tooth Disease ,biomarker ,Charcot Marie Tooth disease 1A ,disease progression ,disease severity ,skin biopsy ,Adult ,Aged ,Female ,Genetic Markers ,Glutathione Transferase ,Glycoproteins ,Humans ,Middle Aged ,Neuregulin-1 ,PPAR gamma ,Phosphoric Diester Hydrolases ,Prognosis ,Pyrophosphatases ,RNA, Messenger ,Real-Time Polymerase Chain Reaction ,Skin ,Disease Progression ,Treatment Outcome ,Surgery ,Neurology (clinical) ,Psychiatry and Mental Health ,Medicine ,medicine.diagnostic_test ,Nuclear Proteins ,3. Good health ,Psychiatry and Mental health ,Cohort ,Biomarker (medicine) ,Transcription ,congenital, hereditary, and neonatal diseases and abnormalities ,medicine.medical_specialty ,Disease cluster ,Article ,03 medical and health sciences ,Genetic ,Internal medicine ,business.industry ,Therapeutic effect ,Clinical trial ,030104 developmental biology ,Skin biopsy ,RNA ,Human medicine ,business ,030217 neurology & neurosurgery - Abstract
Background Charcot-Marie-Tooth disease type 1A (CMT1A) is the most common inherited neuropathy, a debilitating disease without known cure. Among patients with CMT1A, disease manifestation, progression and severity are strikingly variable, which poses major challenges for the development of new therapies. Hence, there is a strong need for sensitive outcome measures such as disease and progression biomarkers, which would add powerful tools to monitor therapeutic effects in CMT1A. Methods We established a pan-European and American consortium comprising nine clinical centres including 311 patients with CMT1A in total. From all patients, the CMT neuropathy score and secondary outcome measures were obtained and a skin biopsy collected. In order to assess and validate disease severity and progression biomarkers, we performed qPCR on a set of 16 animal model-derived potential biomarkers in skin biopsy mRNA extracts. Results In 266 patients with CMT1A, a cluster of eight cutaneous transcripts differentiates disease severity with a sensitivity and specificity of 90% and 76.1%, respectively. In an additional cohort of 45 patients with CMT1A, from whom a second skin biopsy was taken after 2-3 years, the cutaneous mRNA expression of GSTT2, CTSA, PPARG, CDA, ENPP1 and NRG1-Iis changing over time and correlates with disease progression. Conclusions In summary, we provide evidence that cutaneous transcripts in patients with CMT1A serve as disease severity and progression biomarkers and, if implemented into clinical trials, they could markedly accelerate the development of a therapy for CMT1A.
- Published
- 2017