Comparative quantification of dietary supplemented neural creatine concentrations with (1)H-MRS peak fitting and basis spectrum methods
Turner CE, Russell BR, Gant N
Magnetic resonance imaging · 13 citas
Etiquetas de revisión
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Cómo se estudió
- Diseño
- Ensayo controlado aleatorizado (indexado por PubMed)
- Estudiado en
- Personas
- Resultado principal
- Solo mecanismos
Quién lo pagó
- Financiación
- Financiación independiente
- Universidad u hospital
- University of Auckland
Según 1 financiador declarado.
Publicación
- Publicado
- 2015-06-24 · Magn Reson Imaging · vol. 33 · número 9 · págs. 1163–1167
- Editorial
- Elsevier BV
- Citado
- 19 citas · más que el 80% de estudios similares · 1.5× el promedio de su campo
- Referencias
- 29 trabajos
- Acceso
- De pago
- Áreas de investigación
- Advanced MRI Techniques and Applications · Metabolomics and Mass Spectrometry Studies · Advanced NMR Techniques and Applications
- Palabras clave
- creatine supplementation, 1H NMR, spectral quantification, peak fitting, software comparison, neurometabolites, dietary supplementation, neurological disorders
- MeSH
- humans, creatine, cross-over studies, double-blind method, dietary supplements, image processing, computer-assisted, adult, middle aged, female, male, young adult, proton magnetic resonance spectroscopy
3 autores
- Clare E. Turner🇳🇿University of Auckland
- Bruce R. Russell🇳🇿University of Auckland
- Nicholas Gant🇳🇿 · autor de correspondenciaUniversity of Auckland
Resumen
El texto original del estudio, en el idioma en que se publicó.
Magnetic resonance spectroscopy (MRS) is an analytical procedure that can be used to non-invasively measure the concentration of a range of neural metabolites. Creatine is an important neurometabolite with dietary supplementation offering therapeutic potential for neurological disorders with dysfunctional energetic processes. Neural creatine concentrations can be probed using proton MRS and quantified using a range of software packages based on different analytical methods. This experiment examines the differences in quantification performance of two commonly used analysis packages following a creatine supplementation strategy with potential therapeutic application. Human participants followed a seven day dietary supplementation regime in a placebo-controlled, cross-over design interspersed with a five week wash-out period. Spectroscopy data were acquired the day immediately following supplementation and analyzed with two commonly-used software packages which employ vastly different quantification methods. Results demonstrate that neural creatine concentration was augmented following creatine supplementation when analyzed using the peak fitting method of quantification (105.9%±10.1). In contrast, no change in neural creatine levels were detected with supplementation when analysis was conducted using the basis spectrum method of quantification (102.6%±8.6). Results suggest that software packages that employ the peak fitting procedure for spectral quantification are possibly more sensitive to subtle changes in neural creatine concentrations. The relative simplicity of the spectroscopy sequence and the data analysis procedure suggest that peak fitting procedures may be the most effective means of metabolite quantification when detection of subtle alterations in neural metabolites is necessary. The straightforward technique can be used on a clinical magnetic resonance imaging system.
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