Profiling of Homocysteine Metabolic Pathway Related Metabolites in Plasma of Diabetic Mellitus Based on LC-QTOF-MS

被引:4
|
作者
Li, Chanyi [1 ]
Qin, Jiaying [1 ]
Liu, Wuping [2 ]
Lv, Bo [1 ]
Yi, Ning [1 ]
Xue, Jinfeng [1 ]
Xue, Zhigang [1 ,3 ,4 ]
机构
[1] Tongji Univ, Sch Med, Dept Regenerat Med, 1239 Siping Rd, Shanghai 200092, Peoples R China
[2] Cent South Univ, Xiangya Hosp, Int Joint Res Ctr Med Metabol, 87 Xiangya Rd, Changsha 410008, Peoples R China
[3] Tongji Univ, Tongji Hosp, Translat Ctr Stem Cell Res, Sch Med, Shanghai 200065, Peoples R China
[4] Hunan Jiahui Genet Hosp, 72 Xiangya Rd, Changsha 410008, Peoples R China
来源
MOLECULES | 2023年 / 28卷 / 02期
基金
国家重点研发计划;
关键词
homocysteine metabolism; diabetes; LC-MS; clinical diagnosis; METHIONINE; DISEASE; RISK;
D O I
10.3390/molecules28020656
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Background: Homocysteine (Hcy) has been found to be closely related to the occurrence of diabetes mellitus (DM) and is considered as one of the risk factors of DM. However, Hcy alone is not enough as a factor to predict DM, and our study analyzed and determined the relationship between the main metabolites involved in the Hcy metabolic pathway and DM. Methods: A total of 48 clinical samples were collected, including 18 health control samples and 30 DM samples. All standards and samples were detected by LC-QTOF-MS. Multivariate statistical analysis and k-means cluster analysis were performed to screen and confirm the metabolites significantly correlated with DM. Results: A total of 13 metabolites of the Hcy metabolic pathway were detected in the samples. The content of Hcy, cysteine, taurine, pyridoxamine, methionine, and choline were significantly increased in the DM group (p < 0.05). Hcy, choline, cystathionine, methionine, and taurine contributed significantly to the probabilistic principal component analysis (PPCA) model. The odds ratios (OR) of Hcy, cysteine, taurine, methionine, and choline were all greater than one. K-means cluster analysis showed that the Hcy, taurine, methionine, and choline were significantly correlated with the distribution of glucose values (divided into four levels: 10.5-11.7 mmol/L, 7.7-9.7 mmol/L, 6.0-6.9 mmol/L, and 5.0-5.9 mmol/L, respectively). Conclusion: Hcy, taurine, methionine, and choline can be used as risk factors for diabetes diagnosis and are expected to be used for the assessment of diabetes severity.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Nontargeted metabolite profiling evaluation in patients with myelodysplastic syndrome based on LC-QTOF-MS
    Zhou, Chang
    Liang, Chunyu
    Dai, Yunfeng
    Yao, Yuning
    Xu, Lingling
    Lu, Ting
    Zhang, Shuying
    Jiang, Libo
    Liu, Na
    INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, 2022, 15 (10): : 307 - 317
  • [2] A Comprehensive LC-QTOF-MS Metabolic Phenotyping Strategy: Application to Alkaptonuria
    Norman, Brendan P.
    Davison, Andrew S.
    Ross, Gordon A.
    Milan, Anna M.
    Hughes, Andrew T.
    Sutherland, Hazel
    Jarvis, Jonathan C.
    Roberts, Norman B.
    Gallagher, James A.
    Ranganath, Lakshminarayan R.
    CLINICAL CHEMISTRY, 2019, 65 (04) : 530 - 539
  • [3] Retrospective LC-QTOF-MS analysis searching for pharmaceutical metabolites in urban wastewater
    Hernandez, Felix
    Ibanez, Maria
    Gracia-Lor, Emma
    Sancho, Juan V.
    JOURNAL OF SEPARATION SCIENCE, 2011, 34 (24) : 3517 - 3526
  • [4] Metabolomics with LC-QTOF-MS Permits the Prediction of Disease Stage in Aortic Abdominal Aneurysm Based on Plasma Metabolic Fingerprint
    Ciborowski, Michal
    Teul, Joanna
    Luis Martin-Ventura, Jose
    Egido, Jesus
    Barbas, Coral
    PLOS ONE, 2012, 7 (02):
  • [5] Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS
    Neef, Sylvia K.
    Janssen, Nicole
    Winter, Stefan
    Wallisch, Svenja K.
    Hofmann, Ute
    Dahlke, Marc H.
    Schwab, Matthias
    Murdter, Thomas E.
    Haag, Mathias
    METABOLITES, 2020, 10 (12) : 1 - 17
  • [6] LC-QTOF-MS Identification of Major Urinary Cyclopropylfentanyl Metabolites Using Synthesized Standards
    Vikingsson, Svante
    Rautio, Tobias
    Wallgren, Jakob
    Astrand, Anna
    Watanabe, Shimpei
    Dahlen, Johan
    Wohlfarth, Ariane
    Konradsson, Peter
    Wu, Xiongyu
    Kronstrand, Robert
    Green, Henrik
    JOURNAL OF ANALYTICAL TOXICOLOGY, 2019, 43 (08) : 607 - 614
  • [7] LC-QToF-MS Analysis of Stimulant Drugs and Their Metabolites in Wastewater During Football Games
    Stamper, Brandon J.
    Chaturvedi, Krishna
    Avula, Bharathi
    Bae, Ji-Yeong
    Wang, Yan-Hong
    Bledsoe, Kyle S.
    Khan, Ikhlas A.
    Godfrey, Murrell
    METABOLITES, 2025, 15 (02)
  • [8] Hormone Profiling by LC-QToF-MS/MS in Dormant Macadamia integrifolia: Correlations with Abnormal Vertical Growth
    Andrew T. Fletcher
    Johanna C. Mader
    Journal of Plant Growth Regulation, 2007, 26
  • [9] Separation and characterization of related substances of Lurasidone hydrochloride by LC-QTOF-MS techniques
    Siddig, Orwa
    Liu, Chenxi
    Abdulbagi, Mohamed
    Song, Min
    Lu, Yu-ting
    Hang, Tai-jun
    JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2024, 238
  • [10] Hormone profiling by LC-QToF-MS/MS in dormant Macadamia integrifolia:: Correlations with abnormal vertical growth
    Fletcher, Andrew T.
    Mader, Johanna C.
    JOURNAL OF PLANT GROWTH REGULATION, 2007, 26 (04) : 351 - 361