Effects of Bailing capsule on diabetic nephropathy based on UPLC-MS urine metabolomics

被引:9
|
作者
Xu, Junnan [1 ]
Yuan, Qing [1 ]
Wu, Kang [1 ]
Li, Xiubin [2 ]
Zhao, Yuanyu [3 ]
Li, Xiang [1 ]
机构
[1] Chinese Peoples Liberat Army Gen Hosp, Med Ctr 8, Organ Transplant Inst PLA, Dept Urol, Beijing 100091, Peoples R China
[2] Chinese Peoples Liberat Army Gen Hosp, Med Ctr 8, Organ Transplant Inst PLA, Beijing Key Lab Immunol Regulatory & Organ Transp, Beijing 100091, Peoples R China
[3] Naval Med Univ, Shanghai Changzheng Hosp, Dept Organ Transplantat, Shanghai 200003, Peoples R China
基金
中国国家自然科学基金;
关键词
REVEALS; BIOMARKERS; TOXINS; ACID;
D O I
10.1039/c9ra05046a
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Diabetic nephropathy (DN) is one of the most common microvascular diabetes complications and has become a threat to human health. Bailing capsules (BLCs), containing fermentation products of Cordyceps sinensis, have been commonly used for treatment of renal dysfunction, such as DN. However, mechanisms underlying the protective effects of BLC remain largely obscure and await more investigation. In this study, UPLC-MS-based comprehensive metabolomics along with pattern recognition was applied to explore the urine metabolic alteration of DN as well as therapeutic mechanisms of BLC. Nineteen differentially expressed endogenous metabolites were identified related to DN, which were involved in the perturbations of tyrosine metabolism, tryptophan metabolism, glycine metabolism, purine metabolism, glutamine metabolism, phenylalanine metabolism, histidine metabolism and TCA cycle metabolism pathways. After drug intervention, most of the biomarkers exhibited a certain extent towards normal levels (P < 0.05), which indicated that BLC was an effective drug for treating DN and might play its therapeutic role by retrieving abnormal metabolism pathways. The data obtained in this research may pave the way for further exploration of DN and provide key clues to understand the protective effect of BLC.
引用
收藏
页码:35969 / 35975
页数:7
相关论文
共 50 条
  • [31] Solid phase extraction methodology for UPLC-MS based metabolic profiling of urine samples
    Michopoulos, Filippos
    Gika, Helen
    Palachanis, Dimitrios
    Theodoridis, Georgios
    Wilson, Ian D.
    ELECTROPHORESIS, 2015, 36 (18) : 2170 - 2178
  • [32] Deep learning analysis of UPLC-MS/MS-based metabolomics data to predict Alzheimer's disease
    Wang, Kesheng
    Theeke, Laurie A.
    Liao, Christopher
    Wang, Nianyang
    Lu, Yongke
    Xiao, Danqing
    Xu, Chun
    JOURNAL OF THE NEUROLOGICAL SCIENCES, 2023, 453
  • [33] Responses to β-alanine and carnosine supplementation of mussel Mytilus coruscus as revealed by UPLC-MS/MS based untargeted metabolomics
    Wang, Chun-yue
    Yan, Xiao-jun
    He, Jian-yu
    Buttino, Isabella
    Pan, Chen
    Fan, Mei-hua
    Guo, Bao-ying
    Zhang, Xiao-lin
    Liao, Zhi
    AQUACULTURE REPORTS, 2021, 20
  • [34] Determination of urinary globotriaosylceramide by UPLC-MS/MS: Urine dried on filter paper versus liquid urine
    Forni, S.
    Fu, X.
    Sweetman, L.
    Schiffmann, R.
    JOURNAL OF INHERITED METABOLIC DISEASE, 2008, 31 : 124 - 124
  • [35] Human urine contamination with environmental pollutants: simultaneous determination using UPLC-MS/MS
    Beltifa, Asma
    Machreki, Monia
    Ghorbel, Asma
    Belaid, Afifa
    Smaoui, Emna
    Akrout, Feriele Messadi
    Di Bella, Giuseppa
    Khdary, Nezar H.
    Reyns, Tim
    Ben Mansour, Hedi
    Van Loco, Joris
    JOURNAL OF WATER AND HEALTH, 2019, 17 (03) : 371 - 379
  • [36] P 27: Impact of targeted UPLC-MS/MS metabolomics on chemical and biochemical characterisation of MAPs
    Martens, Stefan
    Sarrou, Eirini
    Chatzopoulou, Paschalina
    6TH INTERNATIONAL SYMPOSIUM BREEDING RESEARCH ON MEDICINAL AND AROMATIC PLANTS (BREEDMAP 6), 2016, 453 : 169 - 171
  • [37] Systematic development of an UPLC-MS/MS method for the determination of tricyclic antidepressants in human urine
    Chambers, Erin E.
    Woodcock, Matthew J.
    Wheaton, Jessalynn P.
    Pekol, Teresa M.
    Diehl, Diane M.
    JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2014, 88 : 660 - 665
  • [38] Neonatal Mass Urine Screening Approach for Early Detection of Mucopolysaccharidoses by UPLC-MS/MS
    Menkovic, Iskren
    Marchand, Anne-Sophie
    Boutin, Michel
    Auray-Blais, Christiane
    DIAGNOSTICS, 2019, 9 (04)
  • [39] Development and validation of UPLC-MS/MS method for icariin and its metabolites in mouse urine
    Li, Na
    Yuan, Mei
    Che, Jinjing
    FRONTIERS IN PHARMACOLOGY, 2024, 15
  • [40] Quantification of menadione from plasma and urine by a novel cysteamine-derivatization based UPLC-MS/MS method
    Yuan, Teng-Fei
    Wang, Shao-Ting
    Li, Yan
    JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2017, 1063 : 107 - 111