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[利用纳米超高效液相色谱-高分辨率质谱法对疑似蛇毒样本进行分析与鉴定]

[Analysis and identification of suspected snake venom samples using nano-ultra-high performance liquid chromatography-high resolution mass spectrometry].

作者信息

Li Zehua, Wang Chuang, Xu Bin, Chen Jia, Zhang Ying, Guo Lei, Xie Jianwei

机构信息

1. State Key Laboratory of Toxicology and Medical Countermeasures,Institute of Pharmacology and Toxicology,Academy of Military Medical Sciences,Beijing 100850,China.

1. State Key Laboratory of Toxicology and Medical Countermeasures,Institute of Pharmacology and Toxicology,Academy of Military Medical Sciences,Beijing 100850,China;2. Key Laboratory of Ethnic Medicine,Ministry of Education,College of Pharmacy,Minzu University of China,Beijing 100081,China.

出版信息

Se Pu. 2023 Feb;41(2):122-130. doi: 10.3724/SP.J.1123.2022.08009.

DOI:10.3724/SP.J.1123.2022.08009
PMID:36725708
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9892974/
Abstract

Snake venom is a complex mixture secreted from the glands of poisonous snakes, which contains proteins, peptides, lipids, nucleosides, sugars, amino acids, amines, metal ions, and other components. According to the toxicological classification, snake venoms can be classified as neurotoxins, anticoagulants and procoagulant toxins, cardiac toxins, other toxin proteins, and enzymes. Proteins and peptides are the key components of snake venom. The establishment of rapid, accurate analysis and identification methods for proteins in snake venom is a prerequisite for snake venom-related forensic identification, intoxication events, and pharmaceutical development. Until now, the classical analysis and identification methods have mainly been biochemical or immunoassays for DNA or proteins, such as polymerase chain reaction, agglutination test, enzyme-linked immunosorbent assay, fluorescent immunoassay, and various biosensing approaches. These methods have some limitations such as a high false-positive ratio, low sensitivity, poor anti-interference ability, and limited species discrimination capability. In recent years, with the rapid development of mass spectrometry (MS) techniques, the proteomics of snake venom has also attracted much attention and has contributed to the identification of snake species, in which non-targeted and targeted proteomics represent two main divisions. However, species identification via proteomics is in its infancy in forensic science. First, the tandem MS spectra of peptide sequences are highly complex, which poses a great challenge for the strict and accurate matching of peptides based on the rational speculation of MS fragmentation rules and theoretical calculations in non-targeted proteomics. Second, for the confirmation and identification of unknown substances, reference substances are commonly needed, but those for snake venom are lacking. Proteomics in snake venom identification is still in progress to improve the identification confidence and clarify the identification rules. In this work, a method based on nano-ultra-high performance liquid chromatography-quadrupole-orbitrap high-resolution mass spectrometry (Nano LC-MS/HRMS) and size exclusion chromatography (SEC) was developed for identifying proteins and their source species, with strict rules for five suspected snake venom samples and their contamination in one case. Three SEC elution peaks were obtained from each of the five samples, which were lyophilized and treated with trypsin in solution, and then separated and analyzed by Nano LC-MS/HRMS. First, the Full MS/dd MS mode was used for the non-targeted acquisition of peptide information in the samples, and after submission to the Swiss-Prot database, the protein databases of Serpentes, Colubroidea, Elapidae, Elapinae, and were contracted stepwise and compared. A total of 32 proteins from were identified under the conditions of both peptide spectrum match and false discovery rate less than 1%, and number of characteristic peptides greater than or equal to two. All of these were derived from ten families of , mainly three-finger toxins, metalloproteinases, and phospholipase A2. Proteins D3TTC2, D5LMJ3, Q7T1K6, Q9DEQ3, and Q9YGI4 were the most common among the five samples. Finally, the parallel reaction monitoring mode was adopted to select two unique peptides for each protein for targeted verification. It was considered that a protein in the samples was truly identified when it met the strict standard "the Δ of at least 75% y and b ions of each unique peptide was less than 5 ppm". After these consequently procedures, we identified that all five samples contained the venom of the . Our identification method is a systematic and strict example that can provide effective technical support for the forensic identification of snake venom poisoning, as well as for pharmaceutical development toward snake venoms.

摘要

蛇毒是从毒蛇腺体分泌的一种复杂混合物,含有蛋白质、肽、脂质、核苷、糖类、氨基酸、胺类、金属离子和其他成分。根据毒理学分类,蛇毒可分为神经毒素、抗凝血和促凝血毒素、心脏毒素、其他毒素蛋白和酶。蛋白质和肽是蛇毒的关键成分。建立快速、准确的蛇毒蛋白质分析鉴定方法是蛇毒相关法医鉴定、中毒事件和药物研发的前提。到目前为止,经典的分析鉴定方法主要是针对DNA或蛋白质的生化或免疫分析,如聚合酶链反应、凝集试验、酶联免疫吸附测定、荧光免疫测定和各种生物传感方法。这些方法存在一些局限性,如假阳性率高、灵敏度低、抗干扰能力差和物种鉴别能力有限。近年来,随着质谱(MS)技术的快速发展,蛇毒蛋白质组学也备受关注,并有助于蛇种的鉴定,其中非靶向和靶向蛋白质组学是两个主要分支。然而,通过蛋白质组学进行物种鉴定在法医学中尚处于起步阶段。首先,肽序列的串联质谱图高度复杂,这对基于非靶向蛋白质组学中MS裂解规则的合理推测和理论计算进行肽的严格准确匹配提出了巨大挑战。其次,对于未知物质的确认和鉴定,通常需要参考物质,但蛇毒的参考物质却很缺乏。蛇毒鉴定中的蛋白质组学仍在不断发展,以提高鉴定的可信度并明确鉴定规则。在这项工作中,开发了一种基于纳米超高效液相色谱 - 四极杆 - 轨道阱高分辨率质谱(Nano LC-MS/HRMS)和尺寸排阻色谱(SEC)的方法,用于鉴定蛋白质及其来源物种,并针对一起案件中的五个疑似蛇毒样本及其污染制定了严格规则。从五个样本中的每一个都获得了三个SEC洗脱峰,将其冻干并在溶液中用胰蛋白酶处理,然后通过Nano LC-MS/HRMS进行分离和分析。首先,采用全质谱/数据依赖型二级质谱(Full MS/dd MS)模式对样本中的肽信息进行非靶向采集,提交到瑞士蛋白质数据库后,逐步收缩蛇亚目、新蛇总科、眼镜蛇科、眼镜蛇亚科等的蛋白质数据库并进行比较。在肽谱匹配和错误发现率均小于1%且特征肽数量大于或等于两个的条件下,共鉴定出32种来自的蛋白质。所有这些蛋白质都来自的十个科,主要是三指毒素、金属蛋白酶和磷脂酶A₂。蛋白质D3TTC2、D5LMJ3、Q7T1K6、Q9DEQ3和Q9YGI4在五个样本中最为常见。最后,采用平行反应监测模式为每种蛋白质选择两个独特的肽进行靶向验证。当样本中的一种蛋白质满足“每个独特肽至少75%的y离子和b离子的Δ小于5 ppm”这一严格标准时,才认为该蛋白质被真正鉴定。经过这些后续步骤,我们鉴定出所有五个样本都含有该蛇的毒液。我们的鉴定方法是一个系统且严格的范例,可为蛇毒中毒的法医鉴定以及蛇毒药物研发提供有效的技术支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8796/9892974/43bc04f7100a/cjc-41-02-122-img_6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8796/9892974/5ecedb45f521/cjc-41-02-122-img_1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8796/9892974/b847b751ec53/cjc-41-02-122-img_2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8796/9892974/17095c20c3c6/cjc-41-02-122-img_3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8796/9892974/92d6d2e437fa/cjc-41-02-122-img_4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8796/9892974/8678dc693a55/cjc-41-02-122-img_5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8796/9892974/43bc04f7100a/cjc-41-02-122-img_6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8796/9892974/5ecedb45f521/cjc-41-02-122-img_1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8796/9892974/b847b751ec53/cjc-41-02-122-img_2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8796/9892974/17095c20c3c6/cjc-41-02-122-img_3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8796/9892974/92d6d2e437fa/cjc-41-02-122-img_4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8796/9892974/8678dc693a55/cjc-41-02-122-img_5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8796/9892974/43bc04f7100a/cjc-41-02-122-img_6.jpg

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