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Chemometrics in metabolomics - a review in human disease diagnosis
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- Madsen, Rasmus (author)
- Umeå universitet,Kemiska institutionen,Computational Life Science Cluster (CLiC)
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- Lundstedt, Torbjörn (author)
- Uppsala universitet,Avdelningen för organisk farmaceutisk kemi
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- Trygg, Johan (author)
- Umeå universitet,Kemiska institutionen,Computational Life Science Cluster (CLiC)
- (creator_code:org_t)
- Elsevier BV, 2010
- 2010
- English.
- In: Analytica Chimica Acta. - : Elsevier BV. - 0003-2670 .- 1873-4324. ; 659:1-2, s. 23-33
- Journal article (peer-reviewed)
Abstract
Subject headings
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- Metabolomics is a post genomic research field concerned with developing methods for analysis of low molecular weight compounds in biological systems, such as cells, organs or organisms. Analyzing metabolic differences between unperturbed and perturbed systems, such as healthy volunteers and patients with a disease, can lead to insights into the underlying pathology. In metabolomics analysis, large amounts of data are routinely produced in order to characterize samples. The use of multivariate data analysis techniques and chemometrics is a commonly used strategy for obtaining reliable results. Metabolomics have been applied in different fields such as disease diagnosis, toxicology, plant science and pharmaceutical and environmental research. In this review we take a closer look at the chemometric methods used and the available results within the field of disease diagnosis. We will first present some current strategies for performing metabolomics studies, especially regarding disease diagnosis. The main focus will be on data analysis strategies and validation of multivariate models, since there are many pitfalls in this regard. Further, we highlight the most interesting metabolomics publications and discuss these in detail; additional studies are mentioned as a reference for the interested reader. A general trend is an increased focus on biological interpretation rather than merely the ability to classify samples. In the conclusions, the general trends and some recommendations for improving metabolomics data analysis are provided.
Subject headings
- NATURVETENSKAP -- Biologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Farmaceutiska vetenskaper (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Pharmaceutical Sciences (hsv//eng)
Keyword
- Chemometrics
- metabolomics
- human disease diagnosis
- cancer
- diabetes
- theranostics
- PHARMACY
Publication and Content Type
- ref (subject category)
- art (subject category)
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