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.
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页数:12
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