SwePub
Sök i LIBRIS databas

  Utökad sökning

id:"swepub:oai:DiVA.org:su-7123"
 

Sökning: id:"swepub:oai:DiVA.org:su-7123" > Analysis of Metabol...

Analysis of Metabolites in Complex Biological Samples Using LC/MS and Multivariate Data Analysis : Metabolic Fingerprinting and Detection of Biomarkers

Idborg, Helena, 1976- (författare)
Stockholms universitet,Institutionen för analytisk kemi
Jacobsson, Sven (preses)
Edlund, Per-Olof (preses)
visa fler...
Bergquist, Jonas, Prof. (opponent)
Analytisk kemi, Uppsala Universitet
visa färre...
 (creator_code:org_t)
ISBN 9789171554215
Stockholm : Institutionen för analytisk kemi, 2007
Engelska.
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)
Abstract Ämnesord
Stäng  
  • To facilitate early diagnosis of diseases and elucidation of the processes involved in their development and progression, various specific compounds or ‘biomarkers’ are often monitored. The first step is to decide which compounds to analyze. An untargeted approach within the field of metabolomics, can provide a unique chemical fingerprint representing the biological state of the studied organism. Fingerprints can be used for classification and thus facilitate the identification of biomarkers and investigation of drug metabolism.In this work a method was developed for the general detection of metabolites using liquid chromatography/mass spectrometry (LC/MS) to obtain data for metabolic fingerprinting. One part of the project focused on generating the data and the other on analyzing the acquired data. First part: Solid phase extraction was applied to rat urine samples and protein precipitation to human plasma samples. Several LC/MS variants were used, i.e. reversed phase LC, hydrophilic interaction LC and ultrahigh pressure LC (UHPLC) coupled to a triple quadrupole MS or time of flight (ToF) MS. Second part: Methods for handling LC/MS data and extracting information, e.g. curve resolution, were evaluated. In addition data fusion methods were investigated. Principal Component Analysis (PCA) and partial least squares (PLS), were applied for pattern recognition. Furthermore, 3-way classification methods, such as parallel factor analysis (PARAFAC) and N-way PLS, were also explored.The developed method was applied to the early detection of phospholipi-dosis in drug development and to search for indicators of successful treatment in breast cancer therapy. Potential biomarkers were suggested, but have not yet been fully evaluated. In addition, new metabolites of an antidepressant drug were discovered and identified using this approach.

Ämnesord

NATURVETENSKAP  -- Kemi -- Analytisk kemi (hsv//swe)
NATURAL SCIENCES  -- Chemical Sciences -- Analytical Chemistry (hsv//eng)

Nyckelord

Metabolomics
Metabonomics
Metabolic Fingerprinting
Drug Metabolism
Biomarkers
Human Plasma
Rat Urine
LC/MS
ZIC-HILIC
UPLC
UHPLC
ToF
Curve Resolution
Peak Detection
Pattern Recognition
Classification
PCA
PLS
PARAFAC
N-PLS
Data Fusion
Hierarchical Modeling
Batch modeling
Data Concatenation
Breast Cancer
Phospholipidosis
Analytical chemistry
Analytisk kemi
Analytical Chemistry
analytisk kemi

Publikations- och innehållstyp

vet (ämneskategori)
dok (ämneskategori)

Hitta via bibliotek

Till lärosätets databas

Sök utanför SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy