ABSTRACT
Medical therapeutic options to prevent rupture of abdominal aortic aneurysm (AAA), a critical event, must be developed. Moreover, further understanding of the process of AAA development and rupture is crucial. Previous studies have revealed that aortic hypoperfusion can induce the development of AAA, and we successfully developed a hypoperfusion-induced AAA animal model. In this study, we examined the effects of medium-chain triglycerides (MCTs), tricaprylin (C8-TG) and tricaprin (C10-TG), on hypoperfusion-induced AAA rat model. We estimated the effects of MCTs on aortic pathologies, mechanical properties of the aorta, and development of AAA. C10-TG, but not C8-TG, significantly suppressed AAA development and completely prevented the rupture. We observed that C10-TG prevented the development and rupture of AAA, but not C8-TG. Additionally, regression of AAA diameter was observed in the C10-TG group. Pathological analysis revealed C10-TG improved the hypoperfusion-induced increase in hypoxia-inducible factor-1α levels, medial smooth muscle cells (SMCs) loss, degeneration of aortic elastin and collagen fibers, and loss of aortic wall elasticity. In addition, regression of the formed AAA was observed by administration of C10-TG after AAA formation. C10-TG administration after AAA formation improved degeneration of AAA wall including degradation of aortic elastin and collagen fibers, stenosis of vasa vasorum, and loss of medial SMCs. These data suggest C10-TG can prevent AAA by attenuating aortic hypoperfusion and degeneration. Considering the clinical safety of C10-TG, C10-TG can be a promising AAA drug candidate.
Subject(s)
Aorta, Abdominal , Aortic Aneurysm, Abdominal , Rats , Animals , Aorta, Abdominal/metabolism , Elastin/metabolism , Aortic Aneurysm, Abdominal/metabolism , Triglycerides/metabolism , Disease Models, Animal , Collagen/metabolismABSTRACT
Dietary habit is closely associated with healthspan. Functional food factors are key to maintaining a health metabolism in our bodies. Because functional food factors are main components to determine the quality of foods, many technologies have been established to analyze functional factors in foods. High-performance liquid chromatography-mass spectrometry or gas chromatography-mass spectrometry is a solid approach to detect functional food factors with high sensitivity and specificity. Findings obtained from these mass spectrometric approaches play essential roles in estimating the quality of foods. However, these technologies are not available for the analysis of the spatial distribution of molecules of interest in foods. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is considered an ideal approach to visualize distribution of molecules in foods. MALDI-MSI is a two-dimensional MALDI-MS technology that can detect compounds in a tissue section without purification, separation, or labeling. MALDI-MSI can be used to visualize the spatial distribution of wide range of food components including protein, peptides, amino acids, lipids, carbohydrate, and vitamins. Although the methodology of MALDI-MSI in food science is not yet fully established, the versatility of MALDI-MSI is expected to open a new frontier in food science. In this mini review, we briefly summarized the applications of MALDI-MSI in the field of food science.
Subject(s)
Food Technology , Functional Food , Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization/methods , Proteins , LasersABSTRACT
Abdominal aortic aneurysm (AAA) is an aortic disease in which the aortic diameter is ≥3.0 cm; if left untreated, the aortic wall continues to weaken, resulting in progressive dilatation. Effective therapeutic drugs for AAA patients have not been discovered. Eicosapentaenoic acid (EPA) reportedly attenuates the development of AAA in experimental AAA animal models. However, the underlying mechanism of action is still not totally clear. To understand the mechanism, we visualized the distribution of EPA-containing phosphatidylcholine (PC) in the AAA wall by matrix-assisted laser desorption ionization-mass spectrometry imaging. EPA-containing PC was characteristically distributed in the AAA wall, and the positive area for the M2 macrophage marker was significantly higher in the region where EPA-containing PC was highly detected (region 2) than in the region where EPA-containing PC was poorly detected (region 1). The M1 macrophage marker levels were not different between regions 1 and 2. A comparative observation showed a similar distribution of the M2 macrophage marker and EPA-containing PC. These data suggest the preferential incorporation of EPA into M2 macrophages. Positive areas for matrix metalloproteinase 2 and malondialdehyde in region 2 were significantly lower than those in region 1. The reported suppressive effect of EPA on the development of AAA may be partly attributed to the increased anti-inflammatory property of M2 macrophages.
Subject(s)
Aorta, Abdominal/drug effects , Aortic Aneurysm, Abdominal/drug therapy , Eicosapentaenoic Acid/pharmacology , Administration, Oral , Animals , Disease Models, Animal , Eicosapentaenoic Acid/administration & dosage , Macrophages/drug effects , Male , Rats , Rats, Sprague-DawleyABSTRACT
Hypoperfusion due to vasa vasorum stenosis can cause wall hypoxia and abdominal aortic aneurysm (AAA) development. Even though hypoperfusion is an important contributor toward pathological changes in AAA, the correlation between hypoperfusion and AAA is not fully understood. In this study, a time-dependent semi-quantitative pathological analysis of hypoperfusion-induced aortic wall changes was performed to understand the mechanisms underlying the gradual degradation of the aortic wall leading to AAA formation. AAA-related factors evaluated in this study were grouped according to the timing of dynamic change, and five groups were formed as follows: first group: angiotensin II type 1 receptor, endothelin-1 (ET-1), and malondialdehyde (MDA); second group: matrix metalloproteinase (MMP)-2, -9, -12, M1 macrophages (Mac387+ cells), and monocyte chemotactic protein-1; third group: synthetic smooth muscle cells (SMCs); fourth group: neutrophil elastase, contractile SMCs, and angiotensinogen; and the fifth group: M2 macrophages (CD163+ cells). Hypoxia-inducible factor-1α, ET-1, MDA, and MMP-9 were colocalized with alpha-smooth muscle actin cells in 3 h, suggesting that hypoperfusion-induced hypoxia directly affects the activities of contractile SMCs in the initial stage of AAA. Time-dependent pathological analysis clarified the cascade of AAA-related factors. These findings provide clues for understanding complicated multistage pathologies in AAA.