2020
DOI: 10.1515/tjb-2020-0150
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HPLC and LC-MS/MS measurement methods for the quantification of asymmetric dimethylarginine (ADMA) and related metabolites

Abstract: Methyl arginine derivatives such as asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA), L-N-monomethyl arginine (L-NMMA) are formed by proteolytic catalysis following methylation of arginine residues in proteins. These metabolites reduce NO production. Methylated arginines are an important biomarker for various diseases such as cardiovascular and renal diseases. Therefore, many methods have been developed to reliably and accurately measure the levels of these metabolites. This review, HPLC a… Show more

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Cited by 4 publications
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“…Although no previous studies specifically compared TRP and kynurenines between different types of analytical instruments, others have reported no statistically significant differences between HPLC and LC-MS/MS. Although both analytical instruments are liable and widely used, for metabolite analysis, LC-MS/MS has shown to be more accurate and sensitive compared to HPLC [159,160]. As such, technological limitations at the time of conducting the studies may explain both heterogeneity factors, since metabolite measurements in earlier studies were likely performed with less sensitive equipment.…”
Section: Findings From Meta-regression Analysismentioning
confidence: 99%
“…Although no previous studies specifically compared TRP and kynurenines between different types of analytical instruments, others have reported no statistically significant differences between HPLC and LC-MS/MS. Although both analytical instruments are liable and widely used, for metabolite analysis, LC-MS/MS has shown to be more accurate and sensitive compared to HPLC [159,160]. As such, technological limitations at the time of conducting the studies may explain both heterogeneity factors, since metabolite measurements in earlier studies were likely performed with less sensitive equipment.…”
Section: Findings From Meta-regression Analysismentioning
confidence: 99%