Serum metabolomic analyses reveal the potential metabolic biomarkers for prediction of amatoxin poisoning

被引:2
|
作者
Liu, Yarong [1 ,2 ,3 ]
Li, Shumei [1 ,2 ,3 ]
Feng, Yang [1 ,2 ,3 ]
Zhang, Yiyuan [2 ]
Ouyang, Jielin [1 ,2 ,3 ]
Li, Shutong [1 ,2 ,3 ]
Wang, Jia [2 ]
Tan, Lihong [2 ]
Zou, Lianhong [2 ,3 ,4 ]
机构
[1] Hunan Normal Univ, Affiliated Hosp 1, Hunan Prov Peoples Hosp, Changsha 410013, Hunan, Peoples R China
[2] Hunan Normal Univ, Affiliated Hosp 1, Hunan Prov Peoples Hosp, Inst Clin Translat Med, Changsha 410005, Hunan, Peoples R China
[3] Hunan Normal Univ, Key Lab Mol Epidemiol Hunan Prov, 371 Tongzipo Rd, Changsha 410013, Hunan, Peoples R China
[4] 61 Jiefang Western Rd, Changsha 410005, Hunan, Peoples R China
关键词
Mushroom poisoning; Metabonomics; Diagnosis; Biomarker; MUSHROOM; OUTCOMES;
D O I
10.1016/j.toxicon.2023.107153
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Amatoxin poisoning leads to over 90% of deaths in mushroom poisoning. The objective of present study was to identify the potential metabolic biomarkers for early diagnosis of amatoxin poisoning. Serum samples were collected from 61 patients with amatoxin poisoning and 61 healthy controls. An untargeted metabolomics analysis was performed using the ultra-high-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (UPLC-QTOF-MS/MS). Multivariate statistical analysis revealed that the patients with amatoxin poisoning could be clearly separated from healthy controls on the basis of their metabolic fingerprints. There were 33 differential metabolites including 15 metabolites up-regulated metabolites and 18 down-regulated metabolites in patients with amatoxin poisoning compared to healthy controls. These metabolites mainly enriched in the lipid metabolism and amino acid metabolism pathways, such as Glycerophospholipid meta-bolism, Sphingolipid metabolism, Phenylalanine tyrosine and typtophan biosynthesis, Tyrosine metabolism, Arginine and proline metabolism, which may serve important roles in the amatoxin poisoning. Among the dif-ferential metabolites, a total of 8 significant metabolic markers were identified for discriminating patients with amatoxin poisoning from healthy controls, including Glycochenodeoxycholate-3-sulfate (GCDCA-S), 11-Oxo-androsterone glucuronide, Neomenthol-glucuronide, Dehydroisoandrosterone 3-glucuronide, Glucose 6 -phos-phate (G6P), Lanthionine ketimine, Glycerophosphocholine (GPC) and Nicotinamide ribotide, which achieved satisfactory diagnostic accuracy (AUC>0.8) in both discovery and validation cohorts. Strikingly, the Pearson's correlation analysis indicated that 11-Oxo-androsterone glucuronide, G6P and GCDCA-S were positively corre-lated with the liver injury induced by amatoxin poisoning. The findings of the current study may provide insight into the pathological mechanism of amatoxin poisoning and screened out the reliable metabolic biomarkers to contribute the clinical early diagnosis of amatoxin poisoning.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Comprehensive plasma metabolomic and lipidomic analyses reveal potential biomarkers for heart failure
    Zhou, Juntuo
    Chen, Xi
    Chen, Wei
    Zhong, Lijun
    Cui, Ming
    MOLECULAR AND CELLULAR BIOCHEMISTRY, 2021, 476 (09) : 3449 - 3460
  • [2] Comprehensive plasma metabolomic and lipidomic analyses reveal potential biomarkers for heart failure
    Juntuo Zhou
    Xi Chen
    Wei Chen
    Lijun Zhong
    Ming Cui
    Molecular and Cellular Biochemistry, 2021, 476 : 3449 - 3460
  • [3] Comprehensive metabolomic and proteomic analyses reveal candidate biomarkers and related metabolic networks in atrial fibrillation
    Zhou, Juntuo
    Sun, Lijie
    Chen, Liwen
    Liu, Shuwang
    Zhong, Lijun
    Cui, Ming
    METABOLOMICS, 2019, 15 (07)
  • [4] Comprehensive metabolomic and proteomic analyses reveal candidate biomarkers and related metabolic networks in atrial fibrillation
    Juntuo Zhou
    Lijie Sun
    Liwen Chen
    Shuwang Liu
    Lijun Zhong
    Ming Cui
    Metabolomics, 2019, 15
  • [5] Global serum metabolomic and lipidomic analyses reveal lipid perturbations and potential biomarkers of the colorectal cancer by adenoma-carcinoma sequence
    Zhu, Yifan
    Zhou, Hailin
    Chen, Hongwei
    Zhang, Jiahao
    Liang, Yunxiao
    Yang, Shanyi
    Wang, Xuancheng
    Chen, Guanghui
    Zhang, Qisong
    CHINESE JOURNAL OF ANALYTICAL CHEMISTRY, 2023, 51 (07)
  • [6] Lipidomic and metabolomic analyses reveal potential plasma biomarkers of early atheromatous plaque formation in hamsters
    Jove, Mariona
    Ayala, Victoria
    Ramirez-Nunez, Omar
    Serrano, Jose C. E.
    Cassanye, Anna
    Arola, Lluis
    Caimari, Antoni
    del Bas, Josep M.
    Crescenti, Anna
    Pamplona, Reinald
    Portero-Otin, Manuel
    CARDIOVASCULAR RESEARCH, 2013, 97 (04) : 642 - 652
  • [7] Serum and urine metabolomics analyses reveal metabolic pathways and biomarkers in relation to nasopharyngeal carcinoma
    Liao, Zhaohui
    Zhao, Li
    Zhong, Fangyan
    Zhou, Yumeng
    Lu, Tianzhu
    Liu, Lijuan
    Gong, Xiaochang
    Li, Jingao
    Rao, Jun
    RAPID COMMUNICATIONS IN MASS SPECTROMETRY, 2023, 37 (06)
  • [8] Serum Metabolomic Profiling to Reveal Potential Biomarkers for the Diagnosis of Fatty Liver Hemorrhagic Syndrome in Laying Hens
    Guo, Lianying
    Kuang, Jun
    Zhuang, Yu
    Jiang, Jialin
    Shi, Yan
    Huang, Cheng
    Zhou, Changming
    Xu, Puzhi
    Liu, Ping
    Wu, Cong
    Hu, Guoliang
    Guo, Xiaoquan
    FRONTIERS IN PHYSIOLOGY, 2021, 12
  • [9] Serum Metabolomic Indicates Potential Biomarkers and Metabolic Pathways of Pediatric Kashin-Beck Disease
    Wang Yu Meng
    Wang Wei Yi
    Sun Li Yan
    Li Qiang
    Zhao Zhi Jun
    Hu Jian
    Zhang Rong Yu
    Wang Li Hua
    BIOMEDICAL AND ENVIRONMENTAL SCIENCES, 2020, 33 (10) : 750 - 759
  • [10] Serum Metabolomic Indicates Potential Biomarkers and Metabolic Pathways of Pediatric Kashin-Beck Disease
    WANG Yu Meng
    WANG Wei Yi
    SUN Li Yan
    LI Qiang
    ZHAO Zhi Jun
    HU Jian
    ZHANG Rong Yu
    WANG Li Hua
    Biomedical and Environmental Sciences, 2020, 33 (10) : 750 - 759