A comparison of 15N proline and 13C leucine for monitoring protein biosynthesis in the skin

Plasma concentrations of arginine and related amino acids following traumatic brain injury: Proline as a promising biomarker of brain damage severity

The aim of this study was to find a plasma biomarker, in relation with nitric oxide (NO), as a sign of brain damage severity following traumatic brain injury (TBI). We first investigated the post-traumatic evolution of the plasma concentrations of NO via the level of NO end-products metabolites (nitrite plus nitrate, NO(x)), that of l-arginine (Arg) and amino acids involved in its metabolism as well as the time course of neurological score in a rat model of lateral fluid percussion brain injury. First, the level of NO(x) was increased in plasma at 24 and 48 h post-TBI with a marked increase at 72 h. In contrast, this elevation was neither accompanied by a modification of plasma concentrations of Arg, nor of amino acids involved in NO and Arg metabolism, l-ornithine (Orn), l-glutamate (Glu), and l-glutamine (Gln). Second, TBI induced a fall of plasma l-proline (Pro) concentrations. The time course of post-TBI neurological deficit showed also a decrease of neurological score at 24, 48, and 72 h. Furthermore, there is a weak negative correlation between the neurological score and the plasma level of NO(x) (r=-0.305; P<0.05), while a marked positive correlation has been found between the neurological score and the plasma level of Pro (r=0.563; P<0.001). In conclusion, the plasma concentrations of Pro could be a promising marker of post-traumatic neurological deficit.

Metabolic flux analysis using mass spectrometry

Detailed knowledge on carbon flux distributions is crucial for the understanding and targeted optimization of cellular systems. Analytical methods to identify the topology of metabolic networks and to quantify fluxes through its different pathways are therefore in the core of metabolic engineering. An elegant approach for metabolic flux analysis is provided by tracer experiments. In such studies tracer substrates with stable isotopes such as 13C are applied and the labeling pattern of metabolites is subsequently measured. Detailed flux distributions can be obtained by a combination of tracer experiments and stoichiometric balancing. In recent years, mass spectrometry (MS) has emerged as an interesting method for labeling measurements in metabolic flux analysis and provided valuable insights into the cellular metabolism. The present review provides an overview on current experimental and modeling tools for metabolic flux analysis by MS. The application of MS for flux analysis is illustrated by examples from the literature for various biological systems, including bacteria, fungi, tissue cultures and in vivo studies in humans.