ABSTRACT
Aortic valve (AV) disease involves stiffening of the AV cusp with progression characterized by inflammation, fibrosis, and calcification. Here, we examine the relationship between biomechanical valve function and proteomic changes before and after the development of AV pathology in the Emilin1-/- mouse model of latent AV disease. Biomechanical studies were performed to quantify tissue stiffness at the macro (micropipette) and micro (atomic force microscopy (AFM)) levels. Micropipette studies showed that the Emilin1-/- AV annulus and cusp regions demonstrated increased stiffness only after the onset of AV disease. AFM studies showed that the Emilin1-/- cusp stiffens before the onset of AV disease and worsens with the onset of disease. Proteomes from AV cusps were investigated to identify protein functions, pathways, and interaction network alterations that occur with age- and genotype-related valve stiffening. Protein alterations due to Emilin1 deficiency, including changes in pathways and functions, preceded biomechanical aberrations, resulting in marked depletion of extracellular matrix (ECM) proteins interacting with TGFB1, including latent transforming growth factor beta 3 (LTBP3), fibulin 5 (FBLN5), and cartilage intermediate layer protein 1 (CILP1). This study identifies proteomic dysregulation is associated with biomechanical dysfunction as early pathogenic processes in the Emilin1-/- model of AV disease.
Subject(s)
Heart Defects, Congenital/metabolism , Heart Valve Diseases/metabolism , Membrane Glycoproteins/genetics , Animals , Aortic Valve/metabolism , Aortic Valve/physiology , Bicuspid Aortic Valve Disease , Biomechanical Phenomena , Disease Models, Animal , Extracellular Matrix Proteins/metabolism , Female , Male , Mice, Knockout , Proteomics , Transforming Growth Factor beta1/metabolismABSTRACT
In the last decade mass spectrometry imaging has developed rapidly, in terms of multiple new instrumentation innovations, expansion of target molecules, and areas of application. Mass spectrometry imaging has already had a substantial impact in cancer research, uncovering biomolecular changes associated with disease progression, diagnosis, and prognosis. Many new approaches are incorporating the use of readily available formalin-fixed paraffin-embedded cancer tissues from pathology centers, including tissue blocks, biopsy specimens, and tumor microarrays. It is also increasingly used in drug formulation development as an inexpensive method to determine the distributions of drugs and their metabolites. In this chapter, we offer a perspective in the current and future methodological developments and how these may open up new vistas for cancer research.
Subject(s)
Biomarkers, Tumor/metabolism , Biomedical Research , Image Processing, Computer-Assisted/methods , Mass Spectrometry/methods , Molecular Imaging/methods , Neoplasms/pathology , Animals , Humans , Neoplasms/metabolismABSTRACT
Glycosylated proteins account for a majority of the posttranslation modifications of cell surface, secreted, and circulating proteins. Within the tumor microenvironment, the presence of immune cells, extracellular matrix proteins, cell surface receptors, and interactions between stroma and tumor cells are all processes mediated by glycan binding and recognition reactions. Changes in glycosylation during tumorigenesis are well documented to occur and affect all of these associated adhesion and regulatory functions. A MALDI imaging mass spectrometry (MALDI-IMS) workflow for profiling N-linked glycan distributions in fresh/frozen tissues and formalin-fixed paraffin-embedded tissues has recently been developed. The key to the approach is the application of a molecular coating of peptide-N-glycosidase to tissues, an enzyme that cleaves asparagine-linked glycans from their protein carrier. The released N-linked glycans can then be analyzed by MALDI-IMS directly on tissue. Generally 40 or more individual glycan structures are routinely detected, and when combined with histopathology localizations, tumor-specific glycans are readily grouped relative to nontumor regions and other structural features. This technique is a recent development and new approach in glycobiology and mass spectrometry imaging research methodology; thus, potential uses such as tumor-specific glycan biomarker panels and other applications are discussed.