The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410013, PR China; Institute of Clinical Translational Medicine, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410005, PR China; Key Laboratory of Molecular Epidemiology of Hunan Province, Hunan Normal University, No. 371 Tongzipo Road, Changsha, Hunan, 410013, PR China.
Institute of Clinical Translational Medicine, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410005, PR China.
Toxicon. 2023 Jul;230:107153. doi: 10.1016/j.toxicon.2023.107153. Epub 2023 May 11.
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 metabolism, Sphingolipid metabolism, Phenylalanine tyrosine and typtophan biosynthesis, Tyrosine metabolism, Arginine and proline metabolism, which may serve important roles in the amatoxin poisoning. Among the differential 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-phosphate (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 correlated 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.
毒蕈中毒导致 90%以上的蘑菇中毒死亡。本研究旨在确定潜在的代谢生物标志物,用于早期诊断毒蕈中毒。
从 61 例毒蕈中毒患者和 61 例健康对照者中采集血清样本。采用超高效液相色谱-四极杆飞行时间串联质谱(UPLC-QTOF-MS/MS)进行非靶向代谢组学分析。
多变量统计分析显示,基于代谢指纹图谱,毒蕈中毒患者可与健康对照者明显区分。与健康对照组相比,毒蕈中毒患者有 33 种差异代谢物,包括 15 种上调代谢物和 18 种下调代谢物。这些代谢物主要富集在脂质代谢和氨基酸代谢途径中,如甘油磷脂代谢、鞘脂代谢、苯丙氨酸-酪氨酸和色氨酸生物合成、酪氨酸代谢、精氨酸和脯氨酸代谢,可能在毒蕈中毒中发挥重要作用。
在差异代谢物中,共鉴定出 8 种用于区分毒蕈中毒患者和健康对照者的显著代谢标志物,包括甘氨胆酸-3-硫酸盐(GCDCA-S)、11-氧代雄甾酮葡萄糖醛酸苷、新薄荷醇葡萄糖醛酸苷、脱氢异雄甾酮 3-葡萄糖醛酸苷、葡萄糖 6-磷酸(G6P)、Lanthionine ketimine、甘油磷酸胆碱(GPC)和烟酰胺核苷,在发现和验证队列中均达到了令人满意的诊断准确性(AUC>0.8)。
引人注目的是,Pearson 相关分析表明,11-氧代雄甾酮葡萄糖醛酸苷、G6P 和 GCDCA-S 与毒蕈中毒引起的肝损伤呈正相关。
本研究结果可能为毒蕈中毒的病理机制提供新的见解,并筛选出可靠的代谢生物标志物,有助于毒蕈中毒的临床早期诊断。