Biomarker discovery in biological specimens (plasma, hair, liver and kidney) of diabetic mice based upon metabolite profiling using ultra-performance liquid chromatography with electrospray ionization time-of-flight mass spectrometry

Tsutsui, Haruhito; Maeda, Toshio; Min, Jun Zhe; Inagaki, Shinsuke; Higashi, Tatsuya; Kagawa, Yoshiyuki; Toyo’oka, Toshimasa

doi:10.1016/j.cca.2010.12.023

Cited by 49 publications

(29 citation statements)

References 56 publications

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“…Our previous protocol was applied for UPLC-ESI/TOF/MS data collection with a scan mode (positive/negative ionizations) from m/z 100–1000 using two different columns (T3-C18 and HS-F5) for pathologically confirmed AD/Control brain tissues2021. Samples were prepared by centrifugal ultrafiltration to separate the low-molecular-weight phase for UPLC-ESI/TOF/MS profile analysis and to remove the protein phase (> 3,000 Da).…”

Section: Resultsmentioning

confidence: 99%

Metabolic profiling of Alzheimer's disease brains

Inoue

Tsutsui

Akatsu

et al. 2013

Sci Rep

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138

118

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Alzheimer's disease (AD) is an irreversible, progressive brain disease and can be definitively diagnosed after death through an examination of senile plaques and neurofibrillary tangles in several brain regions. It is to be expected that changes in the concentration and/or localization of low-molecular-weight molecules are linked to the pathological changes that occur in AD, and determining their identity would provide valuable information regarding AD processes. Here, we propose definitive brain metabolic profiling using ultra-performance liquid chromatography coupled with electrospray time-of-flight mass spectrometry analysis. The acquired data were subjected to principal components analysis to differentiate the frontal and parietal lobes of the AD/Control groups. Significant differences in the levels of spermine and spermidine were identified using S-plot, mass spectra, databases and standards. Based on the investigation of the polyamine metabolite pathway, these data establish that the downstream metabolites of ornithine are increased, potentially implicating ornithine decarboxylase activity in AD pathology.

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Section: Resultsmentioning

confidence: 99%

Metabolic profiling of Alzheimer's disease brains

Inoue

Tsutsui

Akatsu

et al. 2013

Sci Rep

Self Cite

138

118

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“…In previous studies, we recently identified the N-acetyl leucine (Ac-Leu) metabolite to be a potential biomarker candidate related to diabetes. Metabolic signature of Nacetyl leucine (Ac-Leu) strongly predicts diabetes development in the mice hair [11]. These results proved that amino acids play essential roles in the energy metabolism as a cluster metabolite.…”

Section: Introductionmentioning

confidence: 78%

First observation of N-acetyl leucine and N-acetyl isoleucine in diabetic patient hair and quantitative analysis by UPLC–ESI–MS/MS

Min

Tomiyasu

Takashi

et al. 2015

Clinica Chimica Acta

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“…Many metabolites (1) Sampling easiness (1) Very low concentration (2) Non-invasive and no-pain (2) Need highly sensitive analysis (3) Easy to repeat sampling (3) No internal standard compound (4) No need of specific apparatus (4) Need high cost instrument (5) Less infective and hygienic problem (5) Lack of researchers (6) Easy to transport and store (6) Limited data in the sample analysis (7) Correlates to blood concentration (7) Concentration difference in black and white hairs (8) Reflects blood components (saliva) (8) Lack of short-term information (hair, nail) (9) Reflects short-term condition (saliva) (10) Reflects long-term history (hair, nail) and unknown compounds in biological specimens (e.g., hair, plasma, kidney, liver) were detected in ddY-H mice as the biomarker candidates related to diabetes. 115) Among them, NAcLeu was identified as a decreased component in the hairs of mice with diabetes. The structure was elucidated based upon the retention time on the chromatograms and the MS/MS spectra of the authentic standard.…”

Section: Hair Analysismentioning

confidence: 99%

Diagnostic Approach to Disease Using Non-invasive Samples Based on Derivatization and LC-ESI-MS/MS

Toyo’oka

2016

Biological & Pharmaceutical Bulletin

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The determination of biologically-active molecules is very important in order to understand biological functions. A novel approach for the highly sensitive and specific determination seems to be essential for this purpose. Based on this consideration, we synthesized various types of fluorogenic and fluorescent reagents for the derivatization of chiral and achiral molecules. The fluorescence analysis is excellent for the analysis of target molecules and generally provides good expected results. However, the trace analysis of the bioactive molecules in complex matrices, such as plasma and urine, is not always satisfactory even using high-performance fluorometry. In such a situation, mass spectrometry (MS) is another technique for the selective and sensitive determination of biological components. Therefore, various derivatization reagents for MS/MS detection were developed and used for the determination of amines and carboxyls including chiral molecules. These newly developed reagents were also adopted for the biomarker detection related to diseases using non-invasive samples (i.e., saliva, nail, hair). Although the determination of the targeted chiral molecules is relatively easy, it is very difficult to identify and/or determine the enantiomeric biomarker in real samples. To solve this difficulty, we proposed the strategy called "chiral metabolomics," which means the total analysis of the enantiomers of various chiral metabolites in complex matrices. This review paper focused on the development of various new derivatization reagents for amines and carboxyls by liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis and the detection of the biomarker candidates related to several diseases in non-invasive samples (i.e., hair, nail, saliva) using these reagents.

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Biomarker discovery in biological specimens (plasma, hair, liver and kidney) of diabetic mice based upon metabolite profiling using ultra-performance liquid chromatography with electrospray ionization time-of-flight mass spectrometry

Cited by 49 publications

References 56 publications

Metabolic profiling of Alzheimer's disease brains

Metabolic profiling of Alzheimer's disease brains

First observation of N-acetyl leucine and N-acetyl isoleucine in diabetic patient hair and quantitative analysis by UPLC–ESI–MS/MS

Diagnostic Approach to Disease Using Non-invasive Samples Based on Derivatization and LC-ESI-MS/MS

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