GC-MS Based Plasma Metabolic Profiling of Type 2 Diabetes Mellitus

被引:25
作者
Zeng, Maomao [1 ]
Che, Zhihong [2 ]
Liang, Yizeng [1 ]
Wang, Bing [1 ]
Chen, Xian [1 ]
Li, Hongdong [1 ]
Deng, Jiahui [1 ]
Zhou, Zhiguang [2 ]
机构
[1] Cent S Univ, Coll Chem & Chem Engn, Changsha 410083, Peoples R China
[2] Cent S Univ, Xiangya Hosp 2, Ctr Diabet, Changsha 410011, Hunan, Peoples R China
关键词
Gas chromatography-mass spectrometry; Principal component analysis; Partial least squares-discriminant analysis; Metabolic profiling; Type 2 diabetes mellitus; GAS CHROMATOGRAPHY/MASS SPECTROMETRY; AMINO-ACID-METABOLISM; MASS-SPECTROMETRY; CAPILLARY-ELECTROPHORESIS; LIQUID-CHROMATOGRAPHY; METABONOMIC ANALYSIS; INSULIN-RESISTANCE; BIOLOGICAL-FLUIDS; RAT; BIOMARKERS;
D O I
10.1365/s10337-009-1040-0
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Gas chromatography-mass spectrometry based metabolic profiling was used to characterize metabolic profiles in type 2 diabetes mellitus. We found distinct differences between type 2 diabetic patients and healthy controls, type 2 diabetic patients before and after treatment of the plasma metabolic profiles. Furthermore, levels of lactate, alpha-hydroxyisobutyric acid, phosphate, 1-monopalmitin and 1-monostearin were closely correlated with the disease state and may be considered as potential biomarkers for type 2 diabetes mellitus. The results demonstrated that plasma GC-MS metabolic profiling combined with multi- and uni-variate statistical analysis techniques provided an efficient way of depicting metabolic perturbations of diseases, and it may also be able to assist disease and treatment surveillance.
引用
收藏
页码:941 / 948
页数:8
相关论文
共 50 条
[21]   GC-MS-based urine metabolic profiling of autism spectrum disorders [J].
Emond, Patrick ;
Mavel, Sylvie ;
Aidoud, Nacima ;
Nadal-Desbarats, Lydie ;
Montigny, Frederic ;
Bonnet-Brilhault, Frederique ;
Barthelemy, Catherine ;
Merten, Marc ;
Sarda, Pierre ;
Laumonnier, Frederic ;
Vourc'h, Patrick ;
Blasco, Helene ;
Andres, Christian R. .
ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2013, 405 (15) :5291-5300
[22]   Determination of Milnacipran in Human Plasma Using GC-MS [J].
Ucakturk, Ebru ;
Safak, Cihat .
CHROMATOGRAPHIA, 2010, 72 (1-2) :111-119
[23]   Optimizing Solvents and Derivatizing Agents for Metabolomic Profiling of Human Plasma Using GC-MS [J].
Srivastava, Anshuman ;
Mishra, Alok ;
Shrivastava, Ashutosh .
CHROMATOGRAPHIA, 2023, 86 (07) :523-534
[24]   Metabolic profiling of acromegaly using a GC-MS-based nontargeted metabolomic approach [J].
Yu, Hengchi ;
Zhao, Yaqun ;
Zhang, Yazhuo ;
Zhong, Liyong .
ENDOCRINE, 2020, 67 (02) :433-441
[25]   Exact mass GC-MS analysis: Protocol, database, advantages and application to plant metabolic profiling [J].
Abadie, Cyril ;
Lalande, Julie ;
Tcherkez, Guillaume .
PLANT CELL AND ENVIRONMENT, 2022, 45 (10) :3171-3183
[26]   Comparative metabolic profiling of Costus speciosus leaves and rhizomes using NMR, GC-MS and UPLC/ESI-MS/MS [J].
Kumar, Ashish ;
Maurya, Antim K. ;
Chand, Gopi ;
Agnihotri, Vijai K. .
NATURAL PRODUCT RESEARCH, 2018, 32 (07) :826-833
[27]   GC-MS Determination of Diclofenac in Human Plasma [J].
Yilmaz, Bilal .
CHROMATOGRAPHIA, 2010, 71 (5-6) :549-551
[28]   GC-MS based metabolomics study of stems and roots of Ephedra sinica [J].
Lv, Mengying ;
Sun, Jianbo ;
Wang, Min ;
Huang, Wanqiu ;
Fan, Hongyan ;
Xu, Fengguo ;
Zhang, Zunjian .
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2015, 114 :49-52
[29]   Metabolic alterations of impaired fasting glucose by GC/MS based plasma metabolic profiling combined with chemometrics [J].
Maomao Zeng ;
Yang Xiao ;
Yizeng Liang ;
Bing Wang ;
Xian Chen ;
Dongsheng Cao ;
Hongdong Li ;
Mei Wang ;
Zhiguang Zhou .
Metabolomics, 2010, 6 :303-311
[30]   Metabolic profiling of transgenic rice with cryIAc and sck genes: An evaluation of unintended effects at metabolic level by using GC-FID and GC-MS [J].
Zhou, Jia ;
Ma, Chenfei ;
Xu, Honglin ;
Yuan, Kailong ;
LU, Xin ;
Zhu, Zhen ;
Wu, Yongning ;
Xu, Guowang .
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2009, 877 (8-9) :725-732