Novel insights on the role of spexin as a biomarker of obesity and related cardiometabolic disease.
Seema KumarRobert T MankowskiStephen D AntonP Babu BalagopalPublished in: International journal of obesity (2005) (2021)
Spexin (SPX) is a 14-amino acid neuropeptide, discovered recently using bioinformatic techniques. It is encoded by the Ch12:orf39 gene that is widely expressed in different body tissues/organs across species, and secreted into systemic circulation. Recent reports have highlighted a potentially important regulatory role of SPX in obesity and related comorbidities. SPX is also ubiquitously expressed in human tissues, including white adipose tissue. The circulating concentration of SPX is significantly lower in individuals with obesity compared to normal weight counterparts. SPX's role in obesity appears to be related to various factors, such as the regulation of energy expenditure, appetite, and eating behaviors, increasing locomotion, and inhibiting long-chain fatty acid uptake into adipocytes. Recent reports have also suggested SPX's relationship with novel biomarkers of cardiovascular disease (CVD) and glucose metabolism and evoked the potential role of SPX as a key biomarker/player in the early loss of cardiometabolic health and development of CVD and diabetes later in life. Data on age-related changes in SPX and SPX's response to various interventions are also emerging. The current review focuses on the role of SPX in obesity and related comorbidities across the life span, and its response to interventions in these conditions. It is expected that this article will provide new ideas for future research on SPX and its metabolic regulation, particularly related to cardiometabolic diseases.
Keyphrases
- weight loss
- insulin resistance
- type diabetes
- metabolic syndrome
- cardiovascular disease
- adipose tissue
- high fat diet induced
- weight gain
- physical activity
- fatty acid
- coronary artery disease
- endothelial cells
- public health
- body mass index
- healthcare
- dna methylation
- cardiovascular events
- risk assessment
- deep learning
- drug induced
- high fat diet
- glycemic control
- electronic health record
- cardiovascular risk factors
- big data
- copy number