The isolation and identification of apolipoprotein C-I in hormone-refractory prostate cancer using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry

Androgens play a central role in prostate cancer pathogenesis, and hence most of the patients respond to androgen deprivation therapies. However, patients tend to relapse with aggressive prostate cancer, which has been termed as hormone refractory. To identify the proteins that mediate progression to the hormone-refractory state, we used protein-chip technology for mass profiling of patients＇ sera. This study included 16 patients with metastatic hormone-refractory prostate cancer who were initially treated with androgen deprivation therapy. Serum samples were collected from each patient at five time points： point A, pre-treatment; point B, at the nadir of the prostate- specific antigen （PSA） level; point C, PSA failure; point D, the early hormone-refractory phase; and point E, the late hormone-refractory phase. Using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry, we performed protein mass profiling of the patients＇ sera and identified a 6 640-Da peak that increased with disease progression. Target proteins were partially purified, and by amino acid sequencing the peak was identified as a fragment of apolipoprotein C-I （ApoC-I）. Serum ApoC-I protein levels increased with disease progression. On immunohistochemical analysis, the ApoC-i protein was found localized to the cytoplasm of the hormone-refractory cancer cells. In this study, we showed an increase in serum ApoC-I protein levels in prostate cancer patients during their progression to the hormone-refractory state, which suggests that ApoC-I protein is related to progression of prostate cancer. However, as the exact role of ApoC-I in prostate cancer pathogenesis is unclear, further research is required.

Two-dimensional gel electrophoresis and surface-enhanced laser desorption ionization-time of flight-mass spectrometry for detection of protein expression profiles in the hippocampus following closed brain injury

Gene expression profile changes in brain regions following traumatic brain injury at the gene level cannot sufficiently elucidate gene expression time, expression amount, protein post-translational processing or modification. Therefore, it is necessary to quantitatively analyze the gene expression profile using proteomic techniques. In the present study, we established a rat model of closed brain injury using Marmarou＇s weight-drop device, and investigated hippocampal differential protein expression using two-dimensional gel electrophoresis and surface-enhanced laser desorption ionization-time of flight-mass spectrometry. A total of 364 protein peaks were detected on weak cation exchange-2 protein chips, including 37 differential protein peaks. 345 protein peaks were detected on immobilized metal affinity capture arrays-Cu, including 12 differential protein peaks Further examination of these differential proteins revealed that glucose-regulated protein and proteasome subunit alpha type 3 expression were significantly upregulated post-injury. These results indicate that brain injury can alter protein expression in the hippocampus, and that glucose-regulated protein and proteasome subunit alpha type 3 are closely associated with the occurrence and development of traumatic brain injury.

Detection of nasopharyngeal carcinoma using surface-enhanced laser desorption and ionization mass spectrometry profiles of the serum proteome

Background and Objective: Early diagnosis of nasopharyngeal carcinoma (NPC) is difficult due to the insufficient specificity of the conventional examination method. This study was to investigate potential and consistent biomarkers for NPC, particularly for early detection of NPC. Methods: A proteomic pattern was identified in a training set (134 NPC patients and 73 control individuals) using the surface-enhanced laser desorption and ionization-mass spectrometry (SELDI-MS), and used to screen the test set (44 NPC patients and 25 control individuals) to determine the screening accuracy. To confirm the accuracy, it was used to test another group of 52 NPC patients and 32 healthy individuals at 6 months later. Results: Eight proteomic biomarkers with top-scored peak mass/charge ratios (m/z) of 8605 Da, 5320 Da, 5355 Da, 5380 Da, 5336 Da, 2791 Da, 7154 Da, and 9366 Da were selected as the potential biomarkers of NPC with a sensitivity of 90.9% (40/44) and a specificity of 92.0% (23/25). The performance was better than the current diagnostic method by using the Epstein-Barr virus (EBV) capsid antigen IgA antibodies (VCA/IgA). Similar sensitivity (88.5%) and specificity (90.6%) were achieved in another group of 84 samples. Conclusion: SELDI-MS profiling might be a potential tool to identify patients with NPC, particularly at early clinical stages.

MicrobMatcher: a microbial comparison software based on matrix-assisted laser desorption/ionization with time-of-flight mass spectrometry

Matrix-assisted Laser Desorption/Ionization with Time-of-flight Mass Spectrometry (MALDI-TOFMS) was investigated as a method for the rapid identifica-tion of species. Current demand in microbial identi-fication is how to compare unknown strains to the known one quickly, semi-automatically and accurately. In this paper, we present a software tool that allows flexibly microbial matching in a user-friendly way, by letting the users to customize comparison parameters including: in vitro transcription enzyme, mass tolerance,minimum fragment length, intensity threshold and corresponding weights. We provide three spectral scoring functions to compute the affin-ity between the species. Therefore, the precision of microbial comparison increases. To test and verify this tool, we employed experimental spectral data based on MALDI-TOFMS and the gene sequences of E.coli and Salmonella. This software is written in Java for cross-platform intention.

Effect of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry on identifing biomarkers of endometriosis

Background Endometriosis is a common gynecological disease. This study aimed to screen proteins that were expressed differently in patients with endometriosis versus normal controls using proteomic techniques, surface-enhanced laser desorption/ionization time-of-flight mass spectrometry （SELDI-TOF-MS）.Methods Protein chip SELDI-TOF-MS combines the advantages of microarray and mass spectrometry, and can screen latent markers in sera of patients with endometriosis. Serum samples from patients and normal volunteers were analyzed by SELDI-TOF-MS. Results After comparing the serum protein spectra of 36 patients with 24 normal controls, 24 differently expressed potential biomarkers （P 〈0.01） were identified. Using Biomarker Pattern software, we established a tree model of the 60 serum protein spectra. When using the three bJomarkers to classify the samples, the sensitivity for diagnosing endometriosis was 91.7%, specificity was 95.8%, and coincidence rate was 93.3%. Then we used serum samples from 12 patients and 8 normal controls to validate the tree model and report the sensitivity for diagnosing endometriosis was 91.7%, specificity was 75%, and coincidence rate was 85%. Conclusions SELDI-TOF-MS may be a useful tool in high-risk population screening for endometriosis. The identification and application of the biomarkers need to further study.

Studies on extracting solutions of endohedral rare-earth metallofullerenes by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry

Thirteen extracting solutions of rare-earth metallofullerenes containing La,Ce,Pr,Nd Sm,Eu,Gd,Tb,Dy,Ho,Er,Tm and Yb respectively have been investigated by means of matrix-assisted laser desorpuon/ ionization time-of-flight mass spectrometry.The influences of the positive-ion/negative-ion mode,laser intensity,ma trix and mass discrimination to the analytical results are studied,based on which the optimal analytical conditions have been determined.The results show that the extracting solutions contain large quantities of rare-earth metallofullerenes besides empty fullerenes.On the basis of comparing their relative intensities,the different structure stabilities and solubilities of metallofullerenes with different rare-earth metals encapsulated into the fullerene cages,as well as some possible reasons to those differences,are discussed.

Detection of Sialylated N-Linked Glycans by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

Native and methyl-esterified sialylated glycans were analyzed with 2,4,6-trihydroxyacetophenone（THAP）and 2,5-dihydroxybenzoic acid（DHB）as matrix by a matrix-assisted laser desorption/ionization time-of-flight mass spectrometer（MALDI-TOF MS）.High quality negative-ion spectra of commercial sialylated glycan were obtained with THAP as matrix.Detection limit of the glycan was less than 0.1 pmol.After methyl esterification of sialic acid（SA）residue,sialylated glycans were detected sensitively in the positive-ion mode using DHB as matrix.Neutral and sialylated glycans from the mixture of asialofetuin and fetuin were methylesterified and simultaneously recognized in one manipulation.Methyl esterification of SA residue offers a convenient and sensitive way to identify the structure of N-linked glycans for glycan profiling.

Mass spectrometry-based serum peptide profiling in hepatocellular carcinoma with bone metastasis

AIM:To investigate the potential of serum peptides as a diagnostic tool for hepatocellular carcinoma(HCC)with bone metastasis.METHODS:Matrix-assisted laser desorption ionization-time of flight mass spectrometry(MALDI-TOF-MS)was used to characterize the serum peptide profile of HCC patients with bone metastasis.Serum samples from 138 HCC patients(66 cases with and 72 cases without bone metastasis)were randomly assigned into a training set(n=76)and a test set(n=62).Differential serum peptides were examined using ClinProt magnetic bead-based purification followed by MALDITOF-MS.The sequences of differentially expressed serum peptides were identified using liquid chromatography-mass spectrometry.A diagnostic model was established using a learning algorithm of radial basis function neural network verified by a single blind trial.Receiver operating characteristic(ROC)analysis was performed to evaluate the diagnostic power of the established model.RESULTS:Ten peptide peaks were significantly different between HCC patients with or without bone metastasis(P<0.001).Sequences of seven peptides with mass to charge ratios(m/z)of 1780.7,1866.5,2131.6,2880.4,1532.4,2489.8,and 2234.3 were successfully identified.These seven peptides were derived from alpha-fetoprotein,prothrombin,serglycin,isoform2 of inter-alpha-trypsin inhibitor heavy chain H4,isoform 1 of autophagy-related protein 16-2,and transthyretin and fibrinogen beta chains,respectively.The recognition rate and predictive power of a diagnostic model established on the basis of six significant peptides(m/z for these six peptides were 1535.4,1780.7,1866.5,2131.6,2880.4,and 2901.9)were 89.47%and82.89%,respectively.The sensitivity and specificity of this model based upon a single blind trial were 85.29%and 85.71%,respectively.ROC analysis found that the AUC(area under the ROC curve)value was 0.911.CONCLUSION:Our study suggested that serum peptides may serve as a diagnosis tool for HCC bone metastasis.

Identification of serum biomarkers for diagnosing stage Ⅰ lung adenocarcinoma by MALDI-TOF mass spectrometry

Objective To identify specific biomarkers that could improve early diagnosis of lung adenocarcinoma using matrix-assisted laser desorption/ionization (MALDI) technology. Methods Serum samples were isolated from 17 patients with stage Ⅰ lung adenocarcinoma and 17 age-and sex-matched healthy controls,and the serum proteomic profiles were obtained by matrix-assisted laser desorption ionization time of flight (MALDI-TOF) mass spectrometry. Results Compared with healthy control group,two highly expressed potential biomarkers were identified with the relative molecular weights of 6 631.64 Da and 4 964.21 Da. The two best novel protein peaks were automatically chosen for the system training and the development of the constructed model. The constructed model was then used to test an independent set of masked serum samples from 15 lung adenocarcinoma patients and 22 healthy individuals. The analysis yielded a sensitivity of 93.3%,and a specificity of 95.5%. Conclusion These results suggest that MALDI-TOF-MS ProteinChip technology is a quick,convenient,and high-output analyzing method that is capable of selecting several relatively potential biomarkers from the serum of lung adenocarcinoma patients and may have a clinical value in the future,and will provide clues to identifying new serologic biomarkers of lung adenocarcinoma.

Establishment and Preliminary Application of Two dimensional Electrophoresis and Mass Spectrometry in Ovary Study

Objective To apply two-dimensional electrophoresis and mass spectrometry in the ovary proteome researchMethods Protein extractions from mouse ovaries were run in IPGphor isoelectric focus system with 11 cm and 24 cm IPG strips respectively (pH 3～10, 0.3 mm thick), then the protein spots were identified by mass spectrometry.Results The ovary protein exactions separated by two-dimensional electrophoresis have got high resolution, and identifing protein by mass spectrometry was highly efficient and facilitly. These two techniques should facilitate further investigation of female reproduction proteome research.Conclusion These two rapid high resolutions and efficient techniques have a variety of applications foreground in female reproduction proteome pattern research.

磁性氮化碳复合材料的制备及其对磷酸化肽的富集

蛋白质的磷酸化在细胞信号传导和疾病发生发展中起着重要作用,但磷酸化的动态变化和低丰度的特点使得对其直接分析有着较大的困难。为了解决磷酸化肽难离子化、检测丰度低的瓶颈问题,本研究制备了一种磁性氮化碳复合材料,结合基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS),建立了一种对复杂样品中低丰度磷酸化肽富集与分析的方法。采用电子显微镜、红外光谱分析及X射线衍射分析等手段对合成的磁性氮化碳材料进行表征。以酪蛋白酶解产物为实验模型,发现磁性氮化碳材料能够实现对磷酸化肽的高选择性富集和高灵敏度检测,检出限为0.1 fmol。选择脱脂牛奶、人唾液和人血清为实际分析样品,发现磁性氮化碳材料对微量蛋白生物样品中磷酸化肽的分析具有较高的应用潜力。

血培养阳性样本快速菌种鉴定和药物敏感性分析

目的分析分离胶离心富集和5 h培养2种前处理方法在血培养阳性样本快速菌种鉴定和快速药物敏感性分析中的临床应用价值。方法收集2021年10月—2022年10月宁波大学附属第一医院报阳的血培养样本211例,分别采用分离胶离心富集和5 h培养(快速方法),以及12 h培养(标准方法)3种方法进行前处理。采用基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS,简称MS)对3种方法处理的血培养阳性样本进行快速菌种鉴定。采用自动化鉴定药敏仪对156例需氧瓶报阳血培养样本进行药物敏感性试验。以常规培养(18~24 h)+MS鉴定结果为标准,比较5 h培养+MS和分离胶离心富集+MS 2种快速方法菌株鉴定准确率。以培养24 h后仪器法药物敏感性试验结果为标准,判断5 h培养和分离胶离心富集后仪器法药物敏感性试验结果与标准方法的一致率。结果2种快速方法鉴定准确率最高的菌种为粪肠球菌,分别为100.00%、87.50%;5 h培养+MS对链球菌属的鉴定准确率较低(33.33%)。2种快速方法对肠杆菌科和非发酵菌的药物敏感性分析结果与标准培养+MS的药物敏感性分析结果一致性分别超过73.00%和85.00%;对葡萄球菌属和肠球菌属部分抗菌药物的药物敏感性分析结果一致性达100.00%;对万古霉素的药物敏感性分析结果一致性最低,为70.73%。结论5 h培养+MS和分离胶离心富集+MS可快速判断血培养阳性样本病原菌种类及其耐药性,准确率较高,适合在临床微生物实验室推广。

饮用水中高分子量消毒副产物的检测识别方法

消毒是饮用水处理过程中的重要步骤,但普遍采用的氯系消毒剂在杀灭细菌病毒的同时,能产生大量具有“三致”效应的卤代消毒副产物(DBPs),严重威胁了饮用水的化学安全.研究人员已在饮用水中陆续检测并识别出700多种DBPs,但这些已知DBPs均为分子量小于800 Da的低分子量DBPs,目前对高分子量DBPs的认识还较为有限.本研究建立了基于基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)的高分子量DBPs检测方法,发现在基质为2,5-二羟基苯甲酸,阳离子化试剂为三氟乙酸钠,使用三明治法点靶,反射-正离子模式,90%激光强度时,信噪比和信号重现性达到最优,信噪比之和达到了136.2,变异系数(CV)则为4.77%.利用上述方法,在模拟饮用水中检测到5种新的高分子量DBPs.在此基础上,通过同位素模式分析、TOF/TOF串联质谱和数据库验证,建立了针对未知高分子量DBPs的分子式/结构式识别方法,确定新的高分子量DBPs为寡糖羧酸类物质.

基质辅助激光解吸电离-飞行时间质谱法快速测定米饭和乳制品中蜡样芽孢杆菌呕吐毒素Cereulide

建立基质辅助激光解吸电离-飞行时间质谱(matrix-assisted laser desorption ionization time-of-flight mass spectrometry,MALDI-TOF MS)法分析蜡样芽孢杆菌呕吐毒素Cereulide的快速检测方法。分析了Cereulide标准物质的裂解规律,考察基质种类、点靶方式、基质溶剂和用量、激光强度等对Cereulide的质谱信号强度的影响,并进行方法学验证和实际样品检测。结果表明,选择以α-氰基-4-羟基肉桂酸为基质,均匀分散在50%乙腈-水(含0.1%三氟乙酸)中,采用先点基质再点样品的点样方式,反射线性正离子模式下选择激光强度70%进行食品中MALDI-TOF MS筛查时,可检测到Cereulide的[M+Na]^(+)和[M+K]^(+)目标离子峰,此质谱信号稳定、强度高、响应重复性好。方法学验证结果表明,Cereulide的[M+Na]^(+)和[M+K]^(+)目标离子峰在5~100 ng/mL范围内线性好,相关系数(r)>0.99;方法的检出限分别为3.0 ng/g和5.0 ng/g;对米饭和牛乳样品的加标回收率为73.3%~118.2%,相对标准偏差为0.3%~10.9%(n=6)。本方法分析速度快、准确性高、灵敏度好、抗干扰能力强、无需内标即可实现对米饭和乳制品中Cereulide的批量筛查和检测。

半夏炮制过程中毒性凝集素蛋白的基质辅助激光解吸电离飞行时间质谱分析

基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)受灵敏度和重复性的影响,对完整蛋白的定量分析存在困难。本研究采用纤维素纳米晶体(CNC)辅助MALDI-TOF MS,结合内标法定量分析半夏炮制过程中半夏凝集素(PTL),通过优化CNC辅助样本制备的时长和比例,以麦胚凝集素(TVL)为内标,直接分析不同炮制程度半夏各炮制品及其浸泡上清液中PTL含量。结果表明,CNC辅助MALDI样本制备有效提升了MALDI-TOF MS定量分析的线性和重复性。随着炮制时间的延长,姜半夏、清半夏和法半夏炮制品的PTL含量逐渐下降,浸泡上清液中PTL含量逐渐上升。其中,由于pH值的改变,法半夏炮制品浸泡上清液中PTL含量呈先上升后下降的趋势。此外,将该方法应用于不同饮片生产企业的多批次半夏炮制品饮片中,均未检出PTL。该方法操作简便,可有效分析半夏炮制过程中PTL含量的变化,为研究半夏炮制过程对PTL的影响提供了参考。

MALDI-TOF MS法快速鉴定散装即食食品中3种食源性致病菌

本研究旨在利用基质辅助激光解吸电离飞行时间质谱法(Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry,MALDI-TOF MS)快速检测并鉴定散装即食食品中的沙门氏菌、金黄色葡萄球菌和蜡样芽孢杆菌3种食源性致病菌。通过对点样方式、前处理方式、不同培养基及培养时间等各项实验条件的优化筛选确定最佳方法,并考察其检测限和稳定性,同时用所建立的方法与多重PCR法、VITEK 2等生化鉴定法进行结果比对,比较三者鉴定结果的一致性,最后进行批量食品样本检测来探寻MALDI-TOF MS鉴定法在散装即食食品中的适用性。结果表明,三种目标菌同一批次及不同传代次数的鉴定得分均大于95%,变异系数均小于2%,所建立的方法重复性和稳定性良好,且检测限为10^(5)CFU/mL,MALDI-TOF MS菌株鉴定结果与多重PCR法、生化鉴定法结果高度一致,且比二者检测用时更短,更加特异高效;在点样方式上,相较于夹心法与混合干滴法,三种覆盖法点样平均鉴定得分更高,均为99.9%,其中1μL+1μL覆盖法点样可获得的平均峰数目更多,特征峰更复杂且强度更高;而在前处理方式上,甲酸乙腈法与其他两种菌体处理方法相比可获得更多的出峰量和更高的峰强度,平均鉴定得分均在98%以上,且与数据库中图谱匹配度更高。综上所述,MALDI-TOF MS法在致病菌鉴定方面不仅灵敏特异、准确快速,且操作简便、结果直观,作为国标法的有力补充,为食源性致病菌的分析鉴定与分型溯源提供了新思路。

基质辅助激光解吸电离飞行时间质谱在食源性致病菌鉴定中的应用

基质辅助激光解吸电离飞行时间质谱(matrix assisted laser desorption ionization time of flight mass spectrometry,MALDI-TOF MS)作为近年来发展的新型食源性致病菌鉴定技术,具有灵敏、准确、检测速度快等优点,该技术为食品病原微生物靶标性监测和食品安全事件应急检验提供了一种高效的鉴别技术参考,在保障民众生命健康和经济社会发展上发挥了重要作用。本文检索了近年来国内外MALDI-TOF MS技术在食源性致病菌检测中的相关研究案例,简要综述了MALDI-TOF MS检测原理、工作流程,影响鉴定结果的主要因素,介绍了MALDI-TOF MS技术应用于食源性致病菌检测中的实际案例,在此基础上分别从参考菌株数据库建设、标准化程序规范等方面对MALDI-TOF MS技术在食源性致病菌检测领域的未来研究方向进行展望,以期为后续食品安全检测及快速监管食源性致病菌污染提供技术支持。

宁夏桶装水中铜绿假单胞菌的污染情况、耐药性及同源性分析

为综合评价宁夏桶装水生产企业铜绿假单胞菌污染情况、耐药性及系统进化关系,确定污染来源,提升产品质量,该研究对企业各生产环节的水样进行铜绿假单胞菌检测,并采用全自动微生物鉴定系统(VITEK-2)、基质辅助激光解吸电离-飞行时间质谱仪(Matrix Assisted Laser Desorption Ionization-time of Flight Mass Spectrometry,MALDI-TOF MS)、16S rRNA测序法对分离菌株进行鉴定。铜绿假单胞菌的耐药性实验应用微生物全自动鉴定及药敏系统检测,采用16S rRNA基因序列测序构建系统发育树,MALDI-TOF MS进行同源性分析。结果表明,VITEK-2、MALDI-TOF MS、16S rRNA鉴定结果与常规方法分离的24株阳性菌株鉴定结果100%相符。耐药性结果表明,24株铜绿假单胞菌中2株为耐药菌株,分别是5-B-1,7-C-5,耐药率为8.3%,说明水源性菌株的耐药水平总体偏低。质谱结果表明来自同一地区的阳性菌株亲缘关系较近;16S rRNA系统发育表明铜绿假单胞菌分离株与地域不存在明显的相关性,但同一来源的铜绿假单胞菌属于同一簇,其来源主要为水源。该研究为桶装水中铜绿假单胞菌的污染溯源积累了数据,为进一步研究菌种污染溯源提供理论依据。

基质辅助激光解吸电离飞行时间质谱自建库鉴定临床常见致病丝状真菌的研究

目的:评估基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)技术鉴定临床常见致病丝状真菌的准确性。方法:采用AUTOF MS1000质谱系统,在原有商业参考库的基础上,增补构建自建数据库,采用125株临床分离菌株对自建库进行验证。结果:自建库新增菌株包括:皮肤癣菌3个属15种菌种,共76株;曲霉属30个菌种,共75株。以已有商业数据库加自建数据库为比对标准,125株临床分离菌株属水平鉴定率100%,种水平鉴定率达80.8%;以分子鉴定结果为金标准,正确鉴定率94.1%。其中,69株皮肤癣菌的种水平鉴定率为79.7%,正确鉴定率92.7%;56株曲霉菌种水平鉴定率为82.1%,正确鉴定率95.6%;错误鉴定6株,集中在须癣毛癣菌复合体(T.mentagrophytes series)菌种趾间毛癣菌/须癣毛癣菌/昆可努发癣菌(T.interdigitale/T.mentagrophytes/T.quinckeanum)交叉识别及Sect.Nigri中黑曲霉(A.niger)与塔宾曲霉(A.tubingensis)交叉识别。结论:通过补充完善自建库可提高MALDI-TOF MS鉴定丝状真菌的准确率;同时,参考数据库及时扩展和更新,以确保MALDI-TOF MS准确鉴定真菌菌种的能力。