Biochemical profiling of diabetes disease progression by multivariate vibrational microspectroscopy of the pancreas.

ABSTRACT: Despite the dramatic increase in the prevalence of diabetes, techniques for in situ studies of the underlying pancreatic biochemistry are lacking. Such methods would facilitate obtaining mechanistic understanding of diabetes pathophysiology and aid in prognostic and/or diagnostic assessments. In this report we demonstrate how a multivariate imaging approach (orthogonal projections to latent structures - discriminant analysis) can be applied to generate full vibrational microspectroscopic profiles of pancreatic tissues. These profiles enable extraction of known and previously unrecorded biochemical alterations in models of diabetes, and allow for classification of the investigated tissue with regards to tissue type, strain and stage of disease progression. Most significantly, the approach p

SUBMITTER: Nord C 

PROVIDER: S-EPMC5532280 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature