Cardioproteomics: Insights on Cardiovascular Diseases.

Cardiovascular diseases (CVDs) remain a global health challenge and are the leading cause of deaths worldwide. Proteomics has emerged as a valuable tool for unraveling the complex molecular mechanisms underlying CVDs, offering insights into biomarker discovery, drug targets, and personalized medicine. This review explores key breakthroughs in proteomic applications related to CVDs, mainly coronary artery disease (CAD), ischemic heart diseases such as myocardial infarction (MI), and cardiomyopathies. Notable findings include potential biomarkers, therapeutic targets, and insights into disease pathogenesis. The review highlights the importance of proteomics in advancing our understanding of CVDs and shaping future therapeutic approaches.

Proteomic analysis reveals stage-specific reprogramed metabolism for the primary breast cancer cell lines MGSO-3 and MACL-1.

Breast cancer is the most prevalent cancer in women worldwide. Its molecular subtypes are based on the presence/absence of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2). MACL-1 and MGSO-3 are cell lines derived from primary tumor sites of patients diagnosed with luminal A subtype carcinoma (ER+/PR+/HER2-) and ductal carcinoma in situ (ER-/PR-/HER2+), respectively. However, these cell lines lost the expression of these markers over cell culturing, and both have triple-negative phenotypes (ER-/PR-/HER2-), which has the poorest prognosis. Here, we sought to study the proteome signature of MGSO-3 and MACL-1, comparing them with the epithelial cell line MCF-10A and the well-established metastatic-derived breast cancer cell line MDA-MB-231. Our results showed that proteins associated with the tricarboxylic acid cycle (TCA) and oxidative phosphorylation (OXPHOS) were upregulated in MGSO-3 and MACL-1 cells. These cell lines also showed upregulation of pro-apoptotic proteins when compared with MDA-MB-231. The molecular differences highlighted in this study may clarify the molecular basis behind cancer cells functioning and may reveal novel signatures across the breast cancer cell models.