A search for biomarkers as diagnostic tools for food allergy: a pilot study in peanut-allergic patients.

Background: The impact of peanut allergy is large and accidental ingestion of peanut can lead to severe reactions. Currently used diagnostic tests, such as skin prick tests (SPT) and determination of specific immunoglobulins (IgE) have, however, limited sensitivity and specificity. Therefore, new tools have to be developed to improve the accuracy of the diagnostic work-up of food-allergic patients.

Sensitivity of (1)H NMR analysis of rat urine in relation to toxicometabonomics. Part I: dose-dependent toxic effects of bromobenzene and paracetamol.

(1)H nuclear magnetic resonance (NMR) spectroscopy of rat urine in combination with pattern recognition analysis was evaluated for early noninvasive detection of toxicity of investigational chemical entities. Bromobenzene (B) and paracetamol (P) were administered at five single oral dosages between 2 and 500 mg/kg and between 6 and 1800 mg/kg, respectively. The sensitivity of the proposed method to detect changes in the NMR spectra 24 and 48 h after single dosing was compared with histopathology and biochemical parameters in plasma and urine.

Uniform procedure of (1)H NMR analysis of rat urine and toxicometabonomics Part II: comparison of NMR profiles for classification of hepatotoxicity.

A procedure of nuclear magnetic resonance (NMR) urinalysis using pattern recognition is proposed for early detection of toxicity of investigational compounds in rats. The method is applied to detect toxicity upon administration of 13 toxic reference compounds and one nontoxic control compound (mianserine) in rats. The toxic compounds are expected to induce necrosis (bromobenzene, paracetamol, carbon tetrachloride, iproniazid, isoniazid, thioacetamide), cholestasis (alpha-naphthylisothiocyanate (ANIT), chlorpromazine, ethinylestradiol, methyltestosterone, ibuprofen), or steatosis (phenobarbital, tetracycline).

Profiles of metabolites and gene expression in rats with chemically induced hepatic necrosis.

This study investigated whether integrated analysis of transcriptomics and metabolomics data increased the sensitivity of detection and provided new insight in the mechanisms of hepatotoxicity. Metabolite levels in plasma or urine were analyzed in relation to changes in hepatic gene expression in rats that received bromobenzene to induce acute hepatic centrilobular necrosis. Bromobenzene-induced lesions were only observed after treatment with the highest of 3 dose levels.

Metabolomics in the context of systems biology: bridging traditional Chinese medicine and molecular pharmacology.

The introduction of the concept of systems biology, enabling the study of living systems from a holistic perspective based on the profiling of a multitude of biochemical components, opens up a unique and novel opportunity to reinvestigate natural products. In the study of their bioactivity, the necessary reductionistic approach on single active components has been successful in the discovery of new medicines, but at the same time the synergetic effects of components were lost. Systems biology, and especially metabolomics, is the ultimate phenotyping.

Evidence of the regulatory effect of Ginkgo biloba extract on skin blood flow and study of its effects on urinary metabolites in healthy humans.

Ginkgo biloba extract has been advocated for the improvement of blood circulation in circulatory disorders. This study investigated the effect of the Gingko biloba extract EGb 761 on skin blood flow in healthy volunteers and accompanying changes in urinary metabolites. Twenty-seven healthy middle-aged subjects participated in a randomized, double-blind, placebo-controlled, crossover study.

A pilot study to investigate effects of inulin on Caco-2 cells through in vitro metabolic fingerprinting.

Metabolic fingerprints are novel measurement tools to evaluate the biochemical status of a living organism by using 1H NMR and multivariate data analysis (MVDA). In this way, a quick evaluation of changes in health or diseased state can be made, reflected in alterations of metabolic patterns. Normally, metabolic fingerprinting is based on in vivo studies.

Identification of disease- and nutrient-related metabolic fingerprints in osteoarthritic Guinea pigs.

Osteoarthritis (OA), one of the most common diseases among the elderly, is characterized by the progressive destruction of joint tissues. Its etiology is largely unclear and no effective disease-modifying treatment is currently available. Metabolic fingerprinting provides a novel tool for the identification of biomarkers.