Biomedical

BACKGROUND:

Adipose tissue secretory proteins, called adipokines, play pivotal roles in the pathophysiology of obesity and its associated disorders such as metabolic syndrome, type 2 diabetes, and cardiovascular disease. Because methods for comprehensive adipokine profiling in patient plasma and other biological samples are currently limited, we developed a multiplex immunoassay for rapid and high-throughput measurement of 25 adipokines in only 50 microL of sample.

The development of adipose tissue is a process which involves the concerted cooperation of numerous transcription factors together with their coactivators and corepressors. The peroxisome proliferator-activated receptor gamma (PPARgamma) is considered to be one of the master regulators of adipocyte differentiation. The presence of two functionally distinct types of adipose tissue, white and brown (WAT and BAT), requires an even more complex regulation of adipose tissue development.

Common obesity and inherited lipodystrophies, rare disorders characterized by a partial (familial partial lipodystrophy; FPLD) or complete (congenital generalized lipodystrophy; CGL) lack of adipose tissue, are both associated with metabolic complications such as insulin resistance and type 2 diabetes. Mutations in the transcription factor peroxisome proliferator activated receptor (PPAR)γ and a number of its downstream target genes result in lipodystrophy.

Human islet amyloid polypeptide (hIAPP) forms amyloid fibrils in pancreatic islets of patients with type 2 diabetes mellitus (DM2). The formation of hIAPP fibrils has been shown to cause membrane damage which most likely is responsible for the death of pancreatic islet beta-cells during the pathogenesis of DM2. Previous studies have shown that the N-terminal part of hIAPP, hIAPP(1-19), plays a major role in the initial interaction of hIAPP with lipid membranes. However, the exact role of this N-terminal part of hIAPP in causing membrane damage is unknown.

The analysis of cerebrospinal fluid (CSF) is used in biomarker discovery studies for various neurodegenerative central nervous system (CNS) disorders. However, little is known about variation of CSF proteins and metabolites between patients without neurological disorders. A baseline for a large number of CSF compounds appears to be lacking.

Although aspirin is a well-established antiplatelet agent, the mechanisms of aspirin resistance remain poorly understood. Metabolomics allows for measurement of hundreds of small molecules in biological samples, enabling detailed mapping of pathways involved in drug response. We defined the metabolic signature of aspirin exposure in subjects from the Heredity and Phenotype Intervention Heart Study. Many metabolites, including known aspirin catabolites, changed on exposure to aspirin, and pathway enrichment analysis identified purine metabolism as significantly affected by drug exposure.

Metabolomics provides a direct functional read-out of the physiological status of an organism and is in principle ideally suited to describe someone's health status. Whereas only a limited number of small metabolites are used in the clinics, in inborn errors of metabolism an extensive repertoire of metabolites are used as biomarkers. We discuss that the proper clinical phenotyping is crucial to find biomarkers and obtain biological insights for multifactorial diseases.