01757nas a2200277   4500000000100000008004100001260000900042653001600051653002100067653003300088653003700121653004100158653001100199653002700210653001200237653002600249100001300275700001300288700001200301700001100313245005500324300001000379490000600389520107000395022001401465       1991                            d  c199110aAmino Acids10aCarboxylic Acids10aChromatography, Ion Exchange10aData Interpretation, Statistical10aGas Chromatography-Mass Spectrometry10aHumans10aLeast-Squares Analysis10aleprosy10aMultivariate Analysis1 aJellum E1 aHarboe M1 aBjune G1 aWold S00aInterpreting complicated chromatographic patterns.  a663-90 v93 a<p>GC-MS, HPLC, automatic amino acid analysis, high-resolution two-dimensional electrophoresis and capillary electrophoresis are suitable for the multicomponent analysis of body fluids and tissues. Manual interpretation of the complex metabolite and protein profiles thereby obtained is usually difficult, except in the case of metabolic disorders, where major deviations from the normal profiles often are observed. Implementation of multivariate data analysis makes it possible to retrieve diagnostic information that otherwise may be overlooked, as shown in this report where patients with leprosy have been examined. Urine samples were analysed by ion-exchange chromatography and by GC-MS to obtain profiles of amino acids and organic acids. Qualitative and quantitative information on 68 metabolites were then analysed by principal components analysis (PCA) and by partial least square models (PLS). Three different PLS dimensions were found (cross-validation) corresponding to controls (persons without leprosy), paucibacillary and multibacillary leprosy.</p>  a0731-7085