A highly efficient method for extracting peptides from a single mouse hypothalamus.

Living organisms contain a variety of endogenous peptides that function as significant regulators of many biological processes. Endogenous peptides are typically analyzed using liquid chromatography-mass spectrometry (LC-MS). However, due to the low efficiency of peptide extraction and low abundance of peptides in a single animal, LC-MS-based peptidomics studies have not facilitated an understanding of the individual differences and tissue specificity of peptide abundance. In this study, we developed a peptide extraction method followed by nano-flow LC-MS/MS analysis. This method enabled highly efficient and reproducible peptide extraction from sub-milligram quantities of hypothalamus dissected from a single animal. Diverse bioactive and authentic peptides were detected from a sample volume equivalent to 135 µg of hypothalamus. This method may be useful for elucidating individual differences and tissue specificity, as well as for facilitating the discovery of novel bioactive peptides and biomarkers and developing peptide therapeutics.

Suprabasin-derived bioactive peptides identified by plasma peptidomics.

Identification of low-abundance, low-molecular-weight native peptides using non-tryptic plasma has long remained an unmet challenge, leaving potential bioactive/biomarker peptides undiscovered. We have succeeded in efficiently removing high-abundance plasma proteins to enrich and comprehensively identify low-molecular-weight native peptides using mass spectrometry. Native peptide sequences were chemically synthesized and subsequent functional analyses resulted in the discovery of three novel bioactive polypeptides derived from an epidermal differentiation marker protein, suprabasin. SBSN_HUMAN[279-295] potently suppressed food/water intake and induced locomotor activity when injected intraperitoneally, while SBSN_HUMAN[225-237] and SBSN_HUMAN[243-259] stimulated the expression of proinflammatory cytokines via activation of NF-κB signaling in vascular cells. SBSN_HUMAN[225-237] and SBSN_HUMAN[279-295] immunoreactivities were present in almost all human organs analyzed, while immunoreactive SBSN_HUMAN[243-259] was abundant in the liver and pancreas. Human macrophages expressed the three suprabasin-derived peptides. This study illustrates a new approach for discovering unknown bioactive peptides in plasma via the generation of peptide libraries using a novel peptidomic strategy.

Oxidised Met147 of human serum albumin is a biomarker of oxidative stress, reflecting glycaemic fluctuations and hypoglycaemia in diabetes.

Oxidative stress has been linked to a number of chronic diseases, and this has aroused interest in the identification of clinical biomarkers that can accurately assess its severity. We used liquid chromatography-high resolution mass spectrometry (LC-MS) to show that oxidised and non-oxidised Met residues at position 147 of human serum albumin (Met147) can be accurately and reproducibly quantified with stable isotope-labelled peptides. Met147 oxidation was significantly higher in patients with diabetes than in controls. Least square multivariate analysis revealed that glycated haemoglobin (HbA1c) and glycated albumin (GA) did not significantly influence Met147 oxidation, but the GA/HbA1c ratio, which reflects glycaemic excursions, independently affected Met147 oxidation status. Continuous glucose monitoring revealed that Met147 oxidation strongly correlates with the standard deviation of sensor glucose concentrations and the time spent with hypoglycaemia or hyperglycaemia each day. Thus, glycaemic variability and hypoglycaemia in diabetes may be associated with greater oxidation of Met147. Renal function, high-density lipoprotein-cholesterol and serum bilirubin were also associated with the oxidation status of Met147. In conclusion, the quantification of oxidised and non-oxidised Met147 in serum albumin using our LC-MS methodology could be used to assess the degree of intravascular oxidative stress induced by hypoglycaemia and glycaemic fluctuations in diabetes.