Title
A candidate serum biomarker for bladder pain syndrome/interstitial cystitis
Date Issued
01 January 2009
Access level
open access
Resource Type
journal article
Author(s)
Rubio-Diaz D.E.
Pozza M.E.
Dimitrakov J.
Gilleran J.P.
Stella J.L.
Tony Buffington C.A.
Universidad Estatal de Ohio
Universidad Estatal de Ohio
Publisher(s)
Royal Society of Chemistry
Abstract
Reliable diagnostic markers for Bladder Pain Syndrome/Interstitial Cystitis (IC) currently are not available. This study evaluated the feasibility of diagnosing IC in humans and domestic cats from the spectra of dried serum films (DSFs) using infrared microspectroscopy. Spectra were obtained from films from 29 humans and 34 domestic cats to create classification models using Soft Independent Modeling by Class Analogy (SIMCA). Ultrafiltration of serum improved discrimination capability. The classification models for both species successfully classified spectra based on condition (healthy/sick), and a different set of masked spectra correctly predicted the condition of 100% of the subjects. Classification required information from the 1500-1800 cm -1 spectral region to discriminate between subjects with IC, other disorders, and healthy subjects. Analysis of cat samples using liquid chromatography-mass spectroscopy revealed differences in the concentration of tryptophan and its metabolites between healthy and affected cats. These results demonstrate the potential utility of infrared microspectroscopy to diagnose IC in both humans and cats. © 2009 Royal Society of Chemistry.
Start page
1133
End page
1137
Volume
134
Issue
6
Language
English
OCDE Knowledge area
PolÃticas de salud, Servicios de salud
BioquÃmica, BiologÃa molecular
DOI
Scopus EID
2-s2.0-67149108590
PubMed ID
Source
Analyst
ISSN of the container
00032654
Sponsor(s)
National Institute of Diabetes and Digestive and Kidney Diseases - R01DK057284, R01DK065990, R21DK070672 - NIDDK
National Center for Research Resources - UL1RR025755 - NCRR
Sources of information:
Directorio de Producción CientÃfica
Scopus