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Background: Asprosin is a novel fasting-induced, glucogenic, and orexigenic protein hormone that is discovered with the help of genetic studies in patients with neonatal progeroid syndrome. Asprosin is encoded by the penultimate 2 exons (65 and 66) of the fibrillin 1 (FBN1) gene. Profibrillin 1 is the unprocessed protein product of FBN1 and undergoes a proteolytic cleavage by furin enzyme to produce mature fibrillin 1 and asprosin. The main organ responsible for the asprosin production seems to be white adipose tissue. Summary: Asprosin promotes hepatic glucose release in the liver and appetite stimulation in the hypothalamus through activation of the cAMP signaling circuitry through interacting with its G protein-coupled receptor, called OR4M1. Increasing mass of evidence suggests that asprosin is involved in the development and progression of various clinical conditions including diabetes, obesity, cardiomyopathy, cancer, and polycystic ovarian syndrome. It regulates various cellular and physiological processes such as appetite stimulation, glucose release, insulin secretion, apoptotic cell death, and inflammatory response. In this review, we discuss the current literature on asprosin and try to shed light on the yet undiscovered functions of asprosin. Key Message: Asprosin is a key regulatory factor for preserving the homeostasis of energy metabolism.

Long noncoding RNAs (lncRNAs) constitute the largest class of noncoding RNAs and play significant roles in the development of cardiovascular pathologies. In the present study, we aimed to evaluate whether 4 candidate lncRNAs – MIAT, MEG3, MALAT1, and MCM3AP-AS1 – have distinct expression levels in patients with obstructive coronary artery disease (CAD) and reveal the diagnostic and therapeutic potentials of these lncRNAs for CAD. A total of 90 patients who subjected to coronary angiography were enrolled. Relative expression of lncRNAs were assayed using qRT-PCR methodology. As a result, MIAT was downregulated, while MEG3 was upregulated in CAD patients. Receiver operating characteristic curves demonstrated that these lncRNAs have a high potential to provide sensitive and specific diagnosis of CAD. The calculated area under curve levels indicated that MIAT and MEG3 have high diagnostic value for detecting the presence of significant CAD. However, MALAT1 and MCM3AP-AS1 levels were not sufficiently reliable for CAD development in our cases. Here, we demonstrate that MIAT and MEG3 were differentially expressed in our patients and might be promising biomarkers and therapeutic targets for CAD. These results indicate that MIAT and MEG3 could play chief roles in CAD development.