Philipp-Michal Eisenmann

Philipp-Michal Eisenmann


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 September 2016 in Metabolites
Verified
Journal Article
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PEPhilipp-Michal Eisenmann
Philipp-Michal Eisenmann
MEMona Ehlers
Mona Ehlers
CWChristoph H. Weinert
Christoph H. Weinert
PTPavleta Tzvetkova
Pavleta Tzvetkova
MSMara Silber
Mara Silber
CMClaudia Muhle-Goll
Claudia Muhle-Goll
Metabolome analyses by NMR spectroscopy can be used in quality control by generating unique fingerprints of different species. Hundreds of components and their variation between different samples can be analyzed in a few minutes/hours with high accuracy and low cost of sample preparation. Here, apple peel and pulp extracts of a variety of apple cultivars were studied to assess their suitability to discriminate between the different varieties. The cultivars comprised mainly newly bred varieties or ones that were brought onto the market in recent years. Multivariate analyses of peel and pulp extracts were able to unambiguously identify all cultivars, with peel extracts showing a higher discriminative power. The latter was increased if the highly concentrated sugar metabolites were omitted from the analysis. Whereas sugar concentrations lay within a narrow range, polyphenols, discussed as potential health promoting substances, and acids varied remarkably between the cultivars.

Verified
Journal Article
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CMClaudia Muhle-Goll
Claudia Muhle-Goll
PEPhilipp-Michal Eisenmann
Philipp-Michal Eisenmann
BLBurkhard Luy
Burkhard Luy
SKStefan Kölker
Stefan Kölker
BTBurkhard Tönshoff
Burkhard Tönshoff
JWJens Hendrik Westhoff
Jens Hendrik Westhoff
Acute kidney injury (AKI) in critically ill children and adults is associated with significant short- and long-term morbidity and mortality. As serum creatinine- and urine output-based definitions of AKI have relevant limitations, there is a persistent need for better diagnostics of AKI. Nuclear magnetic resonance (NMR) spectroscopy allows for analysis of metabolic profiles without extensive sample manipulations. In the study reported here, we examined the diagnostic accuracy of NMR urine metabolite patterns for the diagnosis of neonatal and pediatric AKI according to the Kidney Disease: Improving Global Outcomes (KDIGO) definition. A cohort of 65 neonatal and pediatric patients (0–18 years) with established AKI of heterogeneous etiology was compared to both a group of apparently healthy children (n = 53) and a group of critically ill children without AKI (n = 31). Multivariate analysis identified a panel of four metabolites that allowed diagnosis of AKI with an area under the receiver operating characteristics curve (AUC-ROC) of 0.95 (95% confidence interval 0.86–1.00). Especially urinary citrate levels were significantly reduced whereas leucine and valine levels were elevated. Metabolomic differentiation of AKI causes appeared promising but these results need to be validated in larger studies. In conclusion, this study shows that NMR spectroscopy yields high diagnostic accuracy for AKI in pediatric patients.

21 March 2019 in Metabolites
Verified
Journal Article
Open access
PDF file
AHAdrian Hauser
Adrian Hauser
PEPhilipp-Michal Eisenmann
Philipp-Michal Eisenmann
CMClaudia Muhle-Goll
Claudia Muhle-Goll
BLBurkhard Luy
Burkhard Luy
ADAndreas Doetsch
Andreas Doetsch
PTPavleta Tzvetkova
Pavleta Tzvetkova
Nuclear magnetic resonance (NMR) spectroscopy is one of the most promising methods for use in metabolomics studies as it is able to perform non targeted measurement of metabolites in a quantitative and non-destructive way. Sample preparation of liquid samples like urine or blood serum is comparatively easy in NMR metabolomics, because mainly buffer and chemical shift reference substance are added. For solid samples like feces suitable extraction protocols need to be defined as initial step, where the exact protocol depends on sample type and features. Focusing on short chain fatty acids (SCFAs) in mice feces, we describe here a set of extraction protocols developed with the aim to suppress changes in metabolite composition within 24 h after extraction. Feces are obtained from mice fed on either standard rodent diet or high fat diet. The protocols presented in this manuscript are straightforward for application, and successfully minimize residual bacterial and enzymatic activities. Additionally, they are able to minimize the lipid background originating from the high fat diet.