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Sergio Baranzini on Muck Rack

Sergio Baranzini

Brisbane
As seen in: Nature, Wiley Online Library, SAGE Publishing, YaleNews, The Lancet, Healio, AI Magazine, Neurology
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Articles

Toward a global research agenda for preventing multiple sclerosis

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By Ruth Ann Marrie, Ruth Dobson, Sergio Baranzini, Marco Salvetti
| SAGE Publishing
Abstract Background: Considerable progress has been made in understanding genetic and environmental risk factors for multiple sclerosis (MS), yet we still cannot prevent MS. Objectives: To drive progress in primary and secondary prevention of MS by developing a comprehensive research agenda based on current knowledge.
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Myelin injury precedes axonal injury and symptomatic onset in multiple sclerosis - Nature Medicine

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By Ahmed Abdelhak, Colin R Zamecnik, Gavin M Sowa, John Boscardin, Christian Cordano, Eric Chow, Adam Santaniello, Kelsey Zorn, Jill A. Hollenbach, Stephen L. Hauser, Jonah R. Chan, Sergio Baranzini, Mitchell T Wallin, Michael Wilson, Kiarra Ning
| Nature Verified
Abstract The timing of the biological onset of multiple sclerosis (MS) is unclear. We used high-throughput discovery proteomics and samples from presymptomatic patients with MS and matched healthy controls to define the biological neurological onset and characterize the mechanisms involved. Remarkably, evidence of myelin injury was seen ~7 years before the symptomatic onset and preceded evidence of axonal injury by ~1 year. By contrast, astrocyte involvement became evident only at clinical onset.
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Announcing the Biomedical Data Translator: Initial Public Release

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By William Byrd, Karamarie Fecho, Gwênlyn Glusman, Sergio Baranzini
| Wiley Online Library Verified
1 Introduction Biomedical research has become increasingly specialized and siloed. Much research focuses on the treatment of symptoms, rather than on the elucidation of the underlying etiology of disease. Furthermore, each discipline may use distinct vocabularies, ontologies, data sources, and data representations to describe and report their research, making the resulting knowledge not interoperable.
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