Anne Fages, PhD - Weizmann Institute of Science

Anne Fages

PhD

Weizmann Institute of Science

France

Anne Fages, PhD - Weizmann Institute of Science

Anne Fages

PhD

Introduction

Primary Affiliation: Weizmann Institute of Science - France

Publications

5Publications

161Reads

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27PubMed Central Citations

Following Metabolism in Living Microorganisms by Hyperpolarized (1)H NMR.

J Am Chem Soc 2016 09 6;138(37):12278-86. Epub 2016 Sep 6.

Klinik und Poliklinik für Nuklearmedizin, Technische Universität München , München 81675, Germany.

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http://dx.doi.org/10.1021/jacs.6b07483DOI Listing
September 2016
23 Reads
5 Citations
12.113 Impact Factor

Investigating sources of variability in metabolomic data in the EPIC study: the Principal Component Partial R-square (PC-PR2) method

metabolomics

The key goal of metabolomic studies is to identify relevant individual biomarkers or composite metabolic patterns associated with particular disease status or patho-physiological conditions. There are currently very few approaches to evaluate the variability of metabolomic data in terms of characteristics of individuals or aspects pertaining to technical processing. To address this issue, a method was developed to identify and quantify the contribution of relevant sources of variation in metabolomic data prior to investigation of etiological hypotheses. The Principal Component Partial R-square (PC-PR2) method combines features of principal component and of multivariable linear regression analyses. Within the European Prospective Investigation into Cancer and nutrition (EPIC), metabolic profiles were determined by 1H NMR analysis on 807 serum samples originating from a nested liver cancer case–control study. PC-PR2 was used to quantify the variability of metabolomic profiles in terms of study subjects age, sex, body mass index, country of origin, smoking status, diabetes and fasting status, as well as factors related to sample processing. PC-PR2 enables the evaluation of important sources of variations in metabolomic studies within large-scale epidemiological investigations.

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December 2014
5 Reads

Batch profiling calibration for robust NMR metabonomic data analysis.

Anal Bioanal Chem 2013 Nov 24;405(27):8819-27. Epub 2013 Aug 24.

Institut des Sciences Analytiques, Centre de RMN à très hauts champs, CNRS/ENS Lyon/UCB Lyon-1, Université de Lyon, 5 rue de la Doua, 69100, Villeurbanne, France.

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http://dx.doi.org/10.1007/s00216-013-7296-0DOI Listing
November 2013
21 Reads
2 Citations
3.440 Impact Factor