Stability of amyloid-β peptides in plasma and serum

Plasma amyloid‐β peptide (Aβ) levels have been suggested as a biomarker candidate for detecting incipient AD. Aβ peptides are known to be sensitive to distinct preanalytical sample handling, which calls for standardised preanalytical procedures. We investigated serum and plasma samples of 19 patients with no clinical signs of dementia for different preanalytical sample handlings. Both serum and plasma were analysed by the one‐dimensional Aβ‐SDS‐PAGE/immunoblot, either immediately or after storage at room temperature for 24 and 48 h, respectively. The panel of Aβ1–37/38/39/40/42 and Aβ2–40 was evaluated. In both analytical matrices, sample storage led to a significant loss of measurable peptide levels. This effect was most pronounced during the first 24 h of storage and stronger in serum than in plasma. There were no significant differences between the distinct analysed Aβ peptide species regarding these results. The ratios of peptides (e.g. Aβ1–42/Aβ1–40 and Aβ1–42/Aβ1–38) displayed a higher stability under the influence of storage than each single peptide. In conclusion, plasma may be more appropriate than serum for analysing Aβ peptides for routine application. At least, the analysis should be done within 24 h and peptide ratios should be created to minimise artificial results.     

A new method to analyze matrix-assisted laser desorption/ionization time-of-flight peptide profiling mass spectra

In protein and peptide mass spectrometry in which profiling of peaks is involved, their masses and intensities are important characteristics. Because of the relative low reproducibility of peak intensities associated with complex samples in matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS), it is difficult to accurately assess the number of peaks and their intensities. In this study we evaluate these two characteristics for tryptic digests of cerebro-spinal fluid. We observed that the reproducibility of peak intensities was relatively poor (CV = 42%) and that additional normalization or spiking did not lead to a large improvement (CV = 30%). Moreover, at least seven mass spectra per sample were required to obtain a reliable peak list. An improvement of the sensitivity (i.e., eventually more peaks are detected) is observed if more replicates per sample are measured. We conclude that the reproducibility and sensitivity of peptide profiling can be significantly improved by a combination of measuring at least seven spectra per sample with a dichotomous scoring of the intensities. This approach will aid the analysis of large numbers of mass spectra of patient samples in a reproducible way for the detection and validation of candidate biomarkers.     

Identification of peptidase substrates in human plasma by FTMS based differential mass spectrometry

Approximately 2% of the human genome encodes for proteases. Unfortunately, however, the biological roles of most of these enzymes remain poorly defined, since the physiological substrates are typically unknown and are difficult to identify using traditional methods. We have developed a proteomics experiment based on FTMS profiling and differential mass spectrometry (dMS) to identify candidate endogenous substrates of proteases using fractionated human plasma as the candidate substrate pool. Here we report proof-of-concept experiments for identifying in vitro substrates of aminopeptidase P2, (APP2) and dipeptidyl peptidase 4 (DPP-4), a peptidase of therapeutic interest for the treatment of type 2 diabetes. For both proteases, previously validated peptide substrates spiked into the human plasma pool were identified. Of note, the differential mass spectrometry experiments also identified novel substrates for each peptidase in the subfraction of human plasma. Targeted MS/MS analysis of these peptides in the complex human plasma pool and manual confirmation of the amino acid sequences led to the identification of these substrates. The novel DPP-4 substrate EPLGRQLTSGP was chemically synthesized and cleavage kinetics were determined in an in vitro DPP-4 enzyme assay. The apparent second order rate constant (k_cat/K_M) for DPP-4-mediated cleavage was determined to be 2.3 × 10⁵ M⁻¹ s⁻¹ confirming that this peptide is efficiently processed by the peptidase in vitro. Collectively, these results demonstrate that differential mass spectrometry has the potential to identify candidate endogenous substrates of target proteases from a human plasma pool. Importantly, knowledge of the endogenous substrates can provide useful insight into the biology of these enzymes and provides useful biomarkers for monitoring their activity in vivo.     

Reproducibility of serum protein profiling by systematic assessment using solid-phase extraction and matrix-assisted laser desorption/ionization mass spectrometry

Protein profiling of human serum by matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) is potentially a new diagnostic tool for early detection of human diseases, including cancer. Sample preparation is a key issue in MALDI MS and the analysis of complex samples such as serum requires optimized, reproducible methods for handling and deposition of protein samples. Data acquisition in MALDI MS is also a critical issue, since heterogeneity of sample deposits leads to attenuation of ion signals in MALDI MS. In order to improve the robustness and reproducibility of MALDI MS for serum protein profiling we investigated a range of sample preparation techniques and developed a statistical method based on repeated analyses for evaluation of protein-profiling performance of MALDI MS. Two different solid-phase extraction (SPE) methods were investigated, namely custom-made microcolumns and commercially available magnetic beads. Using these two methods, nineteen different sample preparation methods for serum profiling by MALDI MS were systematically tested with regard to matrix selection, stationary phase, selectivity, and reproducibility. Microcolumns were tested with regard to chromatographic properties; reversed phase (C8, C18, SDB-XC), ion-exchange (anion, weak cation, mixed-phase (SDB-RPS)) and magnetic beads were tested with regard to chromatographic properties; reversed phase (C8) or affinity chromatography (Cu-IMAC). The reproducibility of each sample preparation method was determined by enumeration and analysis of protein signals that were detected in at least six out of nine spectra obtained by three triplicate analyses of one serum sample.A candidate for best overall performance as evaluated by the number of peaks generated and the reproducibility of mass spectra was found among the tested methods. Up to 418 reproducible peaks were detected in one cancer serum sample. These protein peaks can be part of a possible diagnostic profile, suggesting that this sample preparation method and data acquisition approach is suitable for large-scale analysis of serum samples for protein profiling.     

Profiling and biomarker identification in plasma from different Zucker rat strains via high mass accuracy multistage mass spectrometric analysis using liquid chromatography/mass spectrometry with a quadrupole ion trap-time of flight mass spectrometer

High mass accuracy electrospray ionisation multistage tandem mass spectrometry (MS(n)) was applied to metabolite profiling studies on plasma samples derived from two strains of rat (the Zucker (fa/fa) obese strain and the normal wild type). Using a quadrupole ion trap time-of-flight (QIT-TOF) mass spectrometer, metabolite profiling software was applied to locate components of biological significance that could account for the differences between the two strains of rat and a formula prediction software tool was used to help identify individual components. The primary factor discriminating between the two populations was the concentration of endogenous lipids. In the Zucker (fa/fa) obese strain, the dominant ion signals and MS(n) spectra were in agreement with lysoglycerophosphocholine components such as palmitoyllysophosphatidylcholine, 1-oleoylglycerophosphocholine, 1-octadecyl-sn-glycero-3-phosphocholine and 1-stearoylglycerophosphocholine and these were found in relatively higher concentrations compared to the normal wild type. Components were identified using high mass accuracy MS(n) data, formula prediction software and by agreement with published mass spectra through internet databases, rather than using a conventional approach with authentic standards. This application shows that the use of high mass accuracy electrospray ionisation MS(n) together with a software tool can be used effectively to detect and characterise unknown analytes in complex matrices, and represents a promising approach for future profiling studies.     

Peptide correlation: a means to identify high quality quantitative information in large-scale proteomic studies

A major challenge of proteomic studies is the accurate quantitation of proteins. LC-MS/MS-based methods are especially suited for profiling proteins in large sample sets. In this setup, the measurement of relative protein abundance relies on the correct quantitation of tryptic peptides. However, peptide intensities often do not unequivocally reflect the abundance of the native proteins in the sample. In this study, we show that peptides that accurately reflect relative protein abundances in large-scale sample sets can be selected based on the correlation to each other. This strategy was tested in a well-controlled experiment using a set of spiked serum samples as well as 55 clinical serum samples from schizophrenia patients and healthy volunteers. The peptide correlation analysis we present here provides an intuitive and simple procedure to obtain a high quality quantitative information from proteomics data.     

Precipitation and selective extraction of human serum endogenous peptides with analysis by quadrupole time-of-flight mass spectrometry reveals posttranslational modifications and low-abundance peptides

The endogenous peptides of human serum may have regulatory functions, have been associated with physiological states, and their modifications may reveal some mechanisms of disease. In order to correlate levels of specific peptides with disease alongside internal standards, the polypeptides must first be reliably extracted and identified. Endogenous blood peptides can be effectively enriched by precipitation of the serum with organic solvents followed by selective extraction of peptides using aqueous solutions modified with organic solvents. Polypeptides on filter paper were assayed with Coomasie brilliant blue binding. The polypeptides were resolved by detergent tricine polyacrylamide electrophoresis and visualized by diamine silver staining. Peptides in the extracts were collected by C18 and analyzed by matrix-assisted laser desorption/ionization and liquid chromatography–electrospray ionization–tandem mass spectrometry (MS/MS) quadrupole time-of-flight MS/MS. Peptides were resolved as multiple isotopic peaks in MS mode with mass deviation of 0.1 Da or less and similar accuracy for fragments. The sensitivity of MS and MS/MS analysis was estimated to be in the picomolar range or less. The peptide composition of the extracts was dependent on solvent formulation. Multiple peptides from apolipoproteins, complement proteins, coagulation factors, and many others were identified by X!Tandem with high mass accuracy of peptide ions and fragments from collision-induced dissociation. Many previously unreported posttranslational modifications of peptides including phosphorylations, oxidations, glycosylations, and others were detected with high mass accuracy and may be of clinical importance. About 4,630 redundant peptides were identified with 99% confidence separately, and together some 1,251 distinct proteins were identified with 99% confidence or greater using the Paragon algorithm.     

毛细管反相液相色谱-串联质谱用于肽的鉴定和相对定量分析

建立了一种基于毛细管反相液相色谱-串联质谱联用技术和质谱峰强度数据处理的肽段鉴定和相对定量分析方法。该方法无需对样品中的肽进行化学标记,在对样品进行反相色谱分离和串联质谱分析后,将二级质谱扫描数据进行蛋白质数据库搜索,获得所鉴定肽段的序列、保留时间、质荷比、带电荷数等定性信息;再以此为定位依据,在全扫描质谱数据中提取该肽段对应的离子峰并以该离子峰的峰强度作为定量信息,从而实现对不同样品中的共有肽段进行差异比较分析。以标准蛋白酶解混合肽段为实验对象,以肽段相对强度的相对标准偏差为指标,考察了该方法用于肽段相对定量分析的重现性、检测动态范围以及浓度标准曲线等,为将该方法用于生物样品中内源性肽的差异分析奠定了基础。     

Oscore: a combined score to reduce false negative rates for peptide identification in tandem mass spectrometry analysis

Tandem mass spectrometry (MS/MS) has been widely used in proteomics studies. Multiple algorithms have been developed for assessing matches between MS/MS spectra and peptide sequences in databases. However, it is still a challenge to reduce false negative rates without compromising the high confidence of peptide identification. In this study, we developed the score, Oscore, by logistic regression using SEQUEST and AMASS variables to identify fully tryptic peptides. Since these variables showed complicated association with each other, combining them together rather than applying them to a threshold model improved the classification of correct and incorrect peptide identifications. Oscore achieved both a lower false negative rate and a lower false positive rate than PeptideProphet on datasets from 18 known protein mixtures and several proteome-scale samples of different complexity, database size and separation methods. By a three-way comparison among Oscore, PeptideProphet and another logistic regression model which made use of PeptideProphet's variables, the main contributor for the improvement made by Oscore is discussed.     

High‐throughput ultra‐high‐performance liquid chromatography/tandem mass spectrometry quantitation of insulin‐like growth factor‐I and leucine‐rich α‐2‐glycoprotein in serum as biomarkers of recombinant human growth hormone administration

Insulin‐like growth factor‐I (IGF‐I) is a known biomarker of recombinant human growth hormone (rhGH) abuse, and is also used clinically to confirm acromegaly. The protein leucine‐rich α‐2‐glycoprotein (LRG) was recently identified as a putative biomarker of rhGH administration. The combination of an ACN depletion method and a 5‐min ultra‐high‐performance liquid chromatography/tandem mass spectrometry (uHPLC/MS/MS)‐based selected reaction monitoring (SRM) assay detected both IGF‐I and LRG at endogenous concentrations. Four eight‐point standard addition curves of IGF‐I (16–2000 ng/mL) demonstrated good linearity (r² = 0.9991 and coefficients of variance (CVs) <13%). Serum samples from two rhGH administrations were extracted and their uHPLC/MS/MS‐derived IGF‐I concentrations correlated well against immunochemistry‐derived values. Combining IGF‐I and LRG data improved the separation of treated and placebo states compared with IGF‐I alone, further strengthening the hypothesis that LRG is a biomarker of rhGH administration. Artificial neural networks (ANNs) analysis of the LRG and IGF‐I data demonstrated an improved model over that developed using IGF‐I alone, with a predictive accuracy of 97%, specificity of 96% and sensitivity of 100%. Receiver operator characteristic (ROC) analysis gave an AUC value of 0.98. This study demonstrates the first large scale and high throughput uHPLC/MS/MS‐based quantitation of a medium abundance protein (IGF‐I) in human serum. Furthermore, the data we have presented for the quantitative analysis of IGF‐I suggest that, in this case, monitoring a single SRM transition to a trypsin peptide surrogate is a valid approach to protein quantitation by LC/MS/MS. Copyright © 2009 John Wiley & Sons, Ltd.     

Quantitative analysis of low-abundance serological proteins with peptide affinity-based enrichment and pseudo-multiple reaction monitoring by hybrid quadrupole time-of-flight mass spectrometry

Multiple reaction monitoring (MRM) is commonly used for the quantitative analysis of proteins during mass pectrometry (MS), and has excellent specificity and sensitivity for an analyte in a complex sample. In this study, a pseudo-MRM method for the quantitative analysis of low-abundance serological proteins was developed using hybrid quadrupole time-of-flight (hybrid Q-TOF) MS and peptide affinity-based enrichment. First, a pseudo-MRM-based analysis using hybrid Q-TOF MS was performed for synthetic peptides selected as targets and spiked into tryptic digests of human serum. By integrating multiple transition signals corresponding to fragment ions in the full scan MS/MS spectrum of a precursor ion of the target peptide, a pseudo-MRM MS analysis of the target peptide showed an increased signal-to-noise (S/N) ratio and sensitivity, as well as an improved reproducibility. The pseudo-MRM method was then used for the quantitative analysis of the tryptic peptides of two low-abundance serological proteins, tissue inhibitor of metalloproteinase 1 (TIMP1) and tissue-type protein tyrosine phosphatase kappa (PTPκ), which were prepared with peptide affinity-based enrichment from human serum. Finally, this method was used to detect femtomolar amounts of target peptides derived from TIMP1 and PTPκ, with good coefficients of variation (CV 2.7% and 9.8%, respectively), using a few microliters of human serum from colorectal cancer patients. The results suggest that pseudo-MRM using hybrid Q-TOF MS, combined with peptide affinity-based enrichment, could become a promising alternative for the quantitative analysis of low-abundance target proteins of interest in complex serum samples that avoids protein depletion.     

A magnetic bead‐based serum proteomic fingerprinting method for parallel analytical analysis and micropreparative purification

ProteinChip surface‐enhanced laser desorption/ionization technology and magnetic beads‐based ClinProt system are commonly used for semi‐quantitative profiling of plasma proteome in biomarker discovery. Unfortunately, the proteins/peptides detected by MS are non‐recoverable. To obtain the protein identity of a MS peak, additional time‐consuming and material‐consuming purification steps have to be done. In this study, we developed a magnetic beads‐based proteomic fingerprinting method that allowed semi‐quantitative proteomic profiling and micropreparative purification of the profiled proteins in parallel. The use of different chromatographic magnetic beads allowed us to obtain different proteomic profiles, which were comparable to those obtained by the ProteinChip surface‐enhanced laser desorption/ionization technology. Our assays were semi‐quantitative. The normalized peak intensity was proportional to concentration measured by immunoassay. Both intra‐assay and inter‐assay coefficients of variation of the normalized peak intensities were in the range of 4–30%. Our method only required 2 μL of serum or plasma for generating enough proteins for semi‐quantitative profiling by MALDI‐TOF‐MS as well as for gel electrophoresis and subsequent protein identification. The protein peaks and corresponding gel spots could be easily matched by comparing their intensities and masses. Because of its high efficiency and reproducibility, our method has great potentials in clinical research, especially in biomarker discovery.     

Comparing MALDI-MS, RP-LC-MALDI-MS and RP-LC-ESI-MS glycomic profiles of permethylated N-glycans derived from model glycoproteins and human blood serum

The glycomic profiling of purified glycoproteins and biological specimen is routinely achieved through different analytical methods, but mainly through MS and LC-MS. The enhanced ionization efficiency and improved tandem MS interpretation of permethylated glycans have prompted the popularity of this approach. This study focuses on comparing the glycomic profiling of permethylated N-glycans derived from model glycoproteins and human blood serum using MALDI-MS as well as RP-LC-MALDI-MS and RP-LC-ESI-MS. In the case of model glycoproteins, the glycomic profiles acquired using the three methods were very comparable. However, this was not completely true in the case of glycans derived from blood serum. RP-LC-ESI-MS analysis of reduced and permethylated N-glycans derived from 250 nl of blood serum allowed the confident detection of 73 glycans (the structures of which were confirmed by mass accuracy and tandem MS), while 53 and 43 structures were identified in the case of RP-LC-MALDI-MS and MALDI-MS analyses of the same sample, respectively. RP-LC-ESI-MS analysis facilitates automated and sensitive tandem MS acquisitions. The glycan structures that were detected only in the RP-LC-ESI-MS analysis were glycans existing at low abundances. This is suggesting the higher detection sensitivity of RP-LC-ESI-MS analysis, originating from both reduced competitive ionization and saturation of detectors, facilitated by the chromatographic separation. The latter also permitted the separation of several structural isomers; however, isomeric separations pertaining to linkages were not detected.     

Comparison of LFQ and IPTL for Protein Identification and Relative Quantification

(1) Background: Mass spectrometry-based quantitative proteome profiling is most commonly performed by label-free quantification (LFQ), stable isotopic labeling with amino acids in cell culture (SILAC), and reporter ion-based isobaric labeling methods (TMT and iTRAQ). Isobaric peptide termini labeling (IPTL) was described as an alternative to these methods and is based on crosswise labeling of both peptide termini and MS2 quantification. High quantification accuracy was assumed for IPTL because multiple quantification points are obtained per identified MS2 spectrum. A direct comparison of IPTL with other quantification methods has not been performed yet because IPTL commonly requires digestion with endoproteinase Lys-C. (2) Methods: To enable tryptic digestion of IPTL samples, a novel labeling for IPTL was developed that combines metabolic labeling (Arg-0/Lys-0 and Arg-d4/Lys-d4, respectively) with crosswise N-terminal dimethylation (d4 and d0, respectively). (3) Results: The comparison of IPTL with LFQ revealed significantly more protein identifications for LFQ above homology ion scores but not above identity ion scores. (4) Conclusions: The quantification accuracy was superior for LFQ despite the many quantification points obtained with IPTL.     

Joint MS‐based platforms for comprehensive comparison of rat plasma and serum metabolic profiling

Metabolomics is a rapidly growing field in the comprehensive understanding of cellular and organism‐specific responses associated with perturbations induced by medicines, chemicals and environment. Blood matrices are frequently used in clinical and biological studies. In this study, we compared metabolic profiling between rat plasma and serum using complementary platforms of gas chromatography–mass spectrometry (GC‐MS) and liquid chromatography–quadruple time‐of‐flight–mass spectrometry (LC‐QTOF‐MS). The sample types that were tested included plasma prepared with K₂EDTA and serum collected using venous blood collection protocols. The results of peak area variation for each detected metabolite/feature in the quality control samples showed a good reproducibility in LC‐QTOF‐MS and better reproducibility in GC‐MS. In GC‐MS analysis: (a) 25.8% of the defined metabolites differed serum from plasma profiling (t‐test, p < 0.05); and (b) serum possessed higher sensitivity than plasma for its generally higher peak intensity in the metabolic profiling. In LC‐QTOF‐MS analysis, 13 (in positive ion mode) and seven (in negative ion mode) important metabolites were identified as mainly contributing to the separation between serum and plasma. Copyright © 2014 John Wiley & Sons, Ltd.     

A modified peptide mapping strategy for quantifying site-specific deamidation by electrospray time-of-flight mass spectrometry

A modified peptide mapping strategy using electrospray time-of-flight mass spectrometry with high-performance liquid chromatography (HPLC/MS) provides an improved measure of deamidation by performing proteolytic digestion at low temperature (4 degrees C), low pH (6.0) and in organic solvent (> or =10% acetonitrile). HPLC resolution of the native (N) and deamidated (D) peptides is achieved, and the ratio of ion counts is converted into percent deamidation. The percent deamidation is established for a reference lot using a time course of digestion (24-120 h) and extrapolation to time zero. Test samples are compared against the reference lot to quantitate changes in site-specific deamidation. A recombinant purified protein (antigen A) having a single labile Asn-Gly site is analyzed using this strategy. The N and D peptides from an endoproteinase Lys C (Lys C) digestion (pH 6, 4 degrees C) resolve to near homogeneity on HPLC which results in equivalent percent deamidation when calculated by either UV or ion counts. Deamidation increases with time and pH of proteolysis. Lys C peptide maps of antigen A and bovine serum albumin (BSA) digested at pH 5-8 are comparable. A Lys C digestion time course of a reference lot of antigen A extrapolates to 18% deamidation of the Asn-Gly site at time zero. This strategy may be generally applicable to protease-protein combinations for improved accuracy in measuring site-specific deamidation by peptide mapping LC/MS.     

Improved spectra for MALDI MSI of peptides using ammonium phosphate monobasic in MALDI matrix

MALDI mass spectrometry imaging (MSI) enables analysis of peptides along with histology. However, there are several critical steps in MALDI MSI of peptides, 1 of which is spectral quality. Suppression of MALDI matrix clusters by the aid of ammonium salts in MALDI experiments is well known. It is asserted that addition of ammonium salts dissociates potential matrix adducts and thereafter decreases matrix cluster formation. Consequently, MALDI MS sensitivity and mass accuracy increase. Up to our knowledge, a limited number of MALDI MSI studies used ammonium salts as matrix additives to suppress matrix clusters and enhance peptide signals. In this work, we investigated the effect of ammonium phosphate monobasic (AmP) as alpha‐cyano‐4‐hydroxycinnamic acid (α‐CHCA) matrix additive in MALDI MSI of peptides. Prior to MALDI MSI, the effect of varying concentrations of AmP in α‐CHCA was assessed in bovine serum albumin tryptic digests and compared with the control (α‐CHCA without AmP). Based on our data, the addition of AmP as matrix additive decreased matrix cluster formation regardless of its concentration, and specifically, 8 mM AmP and 10 mM AmP increased bovine serum albumin peptide signal intensities. In MALDI MSI of peptides, both 8 and 10 mM AmP in α‐CHCA improved peptide signals especially in the mass range of m/z 2000 to 3000. In particular, 9 peptide signals were found to have differential intensities within the tissues deposited with AmP in α‐CHCA (AUC > 0.60). To the best of our knowledge, this is the first MALDI MSI of peptides work investigating different concentrations of AmP as α‐CHCA matrix additive to enhance peptide signals in formalin‐fixed paraffin‐embedded (FFPE) tissues. Further, AmP as part of α‐CHCA matrix could enhance protein identifications and support MALDI MSI‐based proteomic approaches.     

Material-enhanced laser desorption/ionization (MELDI)—A new protein profiling tool utilizing specific carrier materials for time of flight mass spectrometric analysis

Over the past couple of years, proteomics pattern analysis has emerged as an effective method for the early diagnosis of diseases such as ovarian, breast, or prostate cancer, without identification of single biomarkers. MALDI-TOF MS, for example, offers a simple approach for fast and reliable protein profiling, especially by using carrier materials with various physical and chemical properties, in combination with a MALDI matrix. This approach is referred to as material-enhanced laser desorption/ionization (MELDI). In this paper, we report the development and application of derivatized carrier materials [cellulose, silica, poly(glycidyl methacrylate/divinylbenzene) (GMA/DVB) particles, and diamond powder] for fast and direct MALDI-TOF MS protein profiling. The applicability of MELDI for rapid protein profiling was evaluated with human serum samples. These carriers, having various hydrophobicities, resulted in characteristic mass fingerprints, even if all materials were derivatized with iminodiacetic acid (IDA) to yield an immobilized metal affinity chromatography (IMAC) functionality. Our study demonstrates that analyzing complex biological samples, such as human serum, by employing different MELDI carrier materials yielded type- and size-dependent performance variation.     

人体血清中3种脂溶性维生素的液相色谱-串联质谱分析方法研究

以人体血清中3种脂溶性维生素检测为例,探讨了一种针对人体内源性代谢物的分析方法。采用液相色谱-串联质谱(LC-MS/MS)对人体血清中维生素A、维生素D_3和维生素E进行检测,分别通过混合人血清基质加入标准品及内标再扣除内源性物质本底的方法,以及与牛血清白蛋白(BSA)模拟基质加标的方法建立标准曲线进行定量分析。结果表明,采用混合人血清基质所建方法对维生素A、维生素D_3和维生素E的检出限分别为4.2、0.8、67.2 ng/mL,定量下限分别为13.7、2.6、221.9 ng/mL。两种方法的线性相关系数均大于0.996;对于实际样品在低、高两个加标浓度下的回收率为90.7%～112%,相对标准偏差(RSD)为1.0%～4.5%,具有良好的准确性和重现性。对40组未知样本的检测结果表明,两种方法无统计学差异。因此,对于人体内源性代谢物采用混合人血清基质扣除本底的方法,可以实现标准品与待测样品基质匹配的准确分析,有利于临床相关疾病的便捷诊断。     

Fourier transform ion cyclotron resonance mass spectrometry with NanoLC/microelectrospray ionization and matrix-assisted laser desorption/ionization: analytical performance in peptide mass fingerprint analysis

Protein identifications by peptide mass fingerprint analyses with Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) were performed using microelectrospray ionization coupled to nano liquid chromatography (NanoLC), as well as using matrix-assisted laser desorption/ionization (MALDI). Tryptic digests of bovine serum albumin (BSA), diluted down to femtomole quantities, have been desalted by fast NanoLC under isocratic elution conditions as the high resolving power of FT-ICR MS enables peptides to be separated during the mass analysis stage of the experiment. The high mass accuracy achieved with FT-ICR MS (a few ppm with external calibration) facilitated unambiguous protein identification from protein database searches, even when only a few tryptic peptides of a protein were detected. Statistical confidence in the database search results was further improved by internal calibration due to increased mass accuracy. Matrix-assisted laser desorption/ionization and micro electrospray ionization (ESI) FT-ICR showed good mass accuracies in the low femtomole range, yet a better sensitivity was observed with MALDI. However, in higher femtomole ranges slightly lower mass accuracies were observed with MALDI FT-ICR than with microESI FT-ICR due to scan-to-scan variations of the ion population in the ICR cell. Database search results and protein sequence coverage results from NanoLC FT-ICR MS and MALDI FT-ICR MS, as well as the effect of mass accuracy on protein identification for the peptide mass fingerprint analysis are evaluated.