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A unique plasma microRNA profile defines type 2 diabetes progression
A major unmet medical need to better manage Type 2 Diabetes (T2D) is the accurate disease prediction in subjects who show glucose dysmetabolism, but are not yet diagnosed as diabetic. We investigated the possibility to predict/monitor the progression to T2D in these subjects by retrospectively quant...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5714331/ https://ncbi.nlm.nih.gov/pubmed/29200427 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0188980 |
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