Masterarbeit, 2011
33 Seiten, Note: B2,Merit
1. Introduction
2. Design and Methods
2.1 Subjects
2.2 Study design
2.3 Blood/Urine collection
2.4 Sample analysis by LC-MS and Statistical interpretation
3. Results
3.1 Subject 1
3.1.1 Manual interpretation
3.1.2 Interpretation via mzMatch/PeakML
3.2 Subject 2
3.3 Subject 3
4. Discussion
4.1 Limitations
5. Conclusion
This study aims to determine the physiological impact of recombinant human erythropoietin (r-HuEPO) administration on the human metabolome by identifying and analyzing metabolite profiles in blood plasma and urine. The central research question investigates how r-HuEPO-mediated metabolic interactions affect the physiological status and exercise performance of athletes.
Design and Methods
The trial was divided into three phases: pre-treatment, treatment with r-HuEPO, and post-treatment/wash-out phase. The experimental protocol lasted 10 weeks with two weeks for baseline and four weeks each for r-HuEPO treatment and wash-out phases (figure 2). Following initial testing, blood and urine samples were collected from the subjects twice during baseline for metabolomics (figure 2). During the r-HuEPO administration phase, the subjects received subcutaneous injections of r-HuEPO (Epoietin beta, NeoRecormon®, Roche, Welwyn Garden City, UK) every two days for a period of 4 weeks (i.e. a total of 15 injections in 4 weeks) at a dose of 50 IU/kg body mass [35]. Iron was administered orally in the form of a 200 mg ferrous sulphate tablet (Almus Pharmaceuticals, Actavis, Barnstaple, UK) for haem synthesis [19, 43]. Blood and urine was collected thrice during this phase (figure 2). The post-treatment phase was focused on demonstrating the effects of r-HuEPO on the metabolic status of the subject, based on which the physiological conditions of the subjects were also determined. There were three sampling points for blood and urine (figure 2). This phase alleviated r-HuEPO concentrations gradually from the circulatory system of the subjects allowing them to participate in future competitions without the risk of being caught.
1. Introduction: This chapter defines metabolomics within the 'OMICS' sciences and establishes the background of r-HuEPO as an erythropoietic stimulant and its role in improving athletic performance.
2. Design and Methods: This section details the 10-week study protocol, including subject demographics, the three-phase injection schedule, sample collection procedures, and the analytical tools used for data processing.
3. Results: This chapter presents the metabolomic data for the three study participants, utilizing heatmaps and PCA plots to analyze shifts in metabolite patterns across the baseline, treatment, and post-treatment phases.
4. Discussion: This section interprets the findings, focusing on lactate exchange as a primary outcome and addressing technical challenges, analytical variations, and the efficacy of PCA in metabolomic studies.
5. Conclusion: This final chapter synthesizes the study findings, suggesting that r-HuEPO significantly impacts substrate oxidation and lactate metabolism, and underscores the potential of metabolomics for future doping detection strategies.
Metabolomics, r-HuEPO, Erythropoietin, LC-MS, Orbitrap, PCA, Lactate, Blood Plasma, Urine, Exercise Performance, Doping Detection, Human Metabolome, mzMatch, PeakML, Metabolic Profiling
The research focuses on using metabolomic analysis to understand how the administration of recombinant human erythropoietin (r-HuEPO) alters the human metabolite profile in plasma and urine.
Key themes include the systemic effects of r-HuEPO, the application of LC-MS and PCA for large-scale data analysis, and the development of alternative strategies for detecting blood doping in athletes.
The primary goal is to determine the physiological effects of r-HuEPO on metabolites to better interpret athlete performance and potentially prevent drug misuse in sports.
The study used a combination of LC-MS Orbitrap for data acquisition, followed by bioinformatic processing via mzMatch/PeakML and statistical multivariate analysis (PCA) to distinguish metabolic changes between study phases.
The main body covers the study design, detailed protocols for biological fluid collection, the interpretation of heatmaps and PCA plots for three specific subjects, and the analysis of lactate trends.
Key terms include Metabolomics, r-HuEPO, LC-MS, PCA, Lactate, Human Metabolome, and Doping Detection.
The study observed an increasing trend in lactate levels during the post-treatment phase for all subjects, suggesting that r-HuEPO enhances lactate uptake and acts as a vital metabolic mediator.
Limitations included analytical and biological variations, potential ion suppression in LC-MS, and the difficulty in data interpretation without technical replicates, which suggests a need for supervised methodologies like OPLS-DA.
It provides a theoretical framework showing the relay of genetic information from genes to proteins and eventually to the metabolites that are analyzed to determine an individual's phenotypic status.
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