Phenylalanyl-threonine

Both loss of muscle mass and strength are important sarcopenia-related traits. In this study, we investigated both specific and shared serum metabolites associated with these two traits in 136 Caucasian women using a liquid chromatography-mass spectrometry method. A joint analysis of multivariate traits was used to examine the associations of individual metabolites with muscle mass measured by the body mass index-adjusted appendicular lean mass (ALM/BMI) and muscle strength measured by hand grip strength (HGS). After adjusting for multiple testing, nine metabolites including two amino acids (aspartic acid and glutamic acid) and an amino acid derive (pipecolic acid), one peptide (phenylalanyl-threonine), one carbohydrate (methyl beta-D-glucopyranoside), and four lipids (12S-HETRE, arachidonic acid, 12S-HETE, and glycerophosphocholine) were significant in the joint analysis. Of them, the two amino acids (aspartic acid and glutamic acid) and two lipids (12S-HETRE and 12S-HETE) were associated with both ALM/BMI and HGS, and the other five were only associated with ALM/BMI. The pathway analysis showed the amino acid metabolism pathways (aspartic acid and glutamic acid) might play important roles in the regulation of muscle mass and strength. In conclusion, our study identified novel metabolites associated with sarcopenia-related traits, suggesting novel metabolic pathways for muscle regulation.

The causative agent of Chagas disease (CD), Trypanosoma cruzi, claims thousands of lives each year. Current diagnostic tools are insufficient to ensure parasitological detection in chronically infected patients has been achieved. A host-derived metabolic signature able to distinguish CD patients from uninfected individuals and assess antiparasitic treatment efficiency is introduced. Serum samples were collected from chronic CD patients, prior to and three years after treatment, and subjected to untargeted metabolomics analysis against demographically matched CD-negative controls. Five metabolites were confirmed by high-resolution tandem mass spectrometry. Several database matches for sex steroids were significantly altered in CD patients. A murine experiment corroborated sex steroid perturbation in T. cruzi-infected mice, particularly in male animals. Proteomics analysis also found increased steroidogenesis in the testes of infected mice. Metabolic alterations identified in this study shed light on the pathogenesis and provide the basis for developing novel assays for the diagnosis and screening of CD patients.

The aim of this study was to establish a new tool for screening surface displayed peptide libraries based on the idea that cells expressing an enzyme inhibitor at the surface can be specifically labeled by the target enzyme. For this purpose peptide P15, exhibiting a K(i) value of 0.25 microM toward human cathepsin G, was expressed on the Escherichia coli cell surface by the use of Autodisplay. Purified cathepsin G was coupled to biotin and incubated with cells expressing the inhibitor. After addition of streptavidin-fluorescein isothiocyanate, these cells could be clearly differentiated from control cells by whole-cell fluorescence using flow cytometer analysis. To determine whether this protocol can be used for the sorting of single cells, a mixed population of cells with and without inhibitor was treated accordingly. Single cells were selected by increased fluorescence and sorted using fluorescence-activated cell sorting (FACS). Single cell clones were obtained and subjected to DNA sequence analysis. It turned out that the bacteria selected by this protocol displayed the correct peptide inhibitor at the cell surface. The protocol was then used to screen random peptide libraries, expressed at the cell surface, and a new lead structure for human cathepsin G (IC50 = 11.7 microM) was identified. The new drug discovery tool presented here consists of three steps: (a) surface display of peptide libraries, (b) selection of single cells with inhibiting structures by using the inherent affinity of the target enzyme, and (c) sorting of single cells, which were labeled by FACS.