Targeted Mass Spectrometry Approach Research Articles

Expression of intestinal drug transporter proteins and metabolic enzymes in neonatal and pediatric patients

The development of pediatric oral drugs is hampered by a lack of predictive simulation tools. These tools, in turn, require data on the physiological variables that influence oral drug absorption, including the expression of drug transporter proteins (DTPs) and drug-metabolizing enzymes (DMEs) in the intestinal tract. The expression of hepatic DTPs and DMEs shows age-related changes, but there are few data on protein levels in the intestine of children. In this study, tissue was collected from different regions of the small and large intestine from neonates (i.e., surgically removed tissue) and from pediatric patients (i.e., gastroscopic duodenal biopsies). The protein expression of clinically relevant DTPs and DMEs was determined using a targeted mass spectrometry approach. The regional distribution of DTPs and DMEs was similar to adults. Most DTPs, with the exception of MRP3, MCT1, and OCT3, and all DMEs showed the highest protein expression in the proximal small intestine. Several proteins (i.e., P-gp, ASBT, CYP3A4, CYP3A5, CYP2C9, CYP2C19, and UGT1A1) showed an increase with age. Such increase appeared to be even more pronounced for DMEs. This exploratory study highlights the developmental changes in DTPs and DMEs in the intestinal tract of the pediatric population. Additional evaluation of protein function in this population would elucidate the implications of the presented changes in protein expression on absorption of orally administered drugs in neonates and pediatric patients.

Multiplexed MRM-based proteomics for identification of circulating proteins as biomarkers of cardiovascular damage progression associated with diabetes mellitus

BackgroundType 2 diabetes mellitus (T2DM) increases the risk of coronary heart disease (CHD) by 2–4 fold, and is associated with endothelial dysfunction, dyslipidaemia, insulin resistance, and chronic hyperglycaemia. The aim of this investigation was to assess, by a multimarker mass spectrometry approach, the predictive role of circulating proteins as biomarkers of cardiovascular damage progression associated with diabetes mellitus.MethodsThe study considered 34 patients with both T2DM and CHD, 31 patients with T2DM and without CHD, and 30 patients without diabetes with a diagnosis of CHD. Plasma samples of subjects were analysed through a multiplexed targeted liquid chromatography mass spectrometry (LC-MS)-based assay, namely Multiple Reaction Monitoring (MRM), allowing the simultaneous detection of peptides derived from a protein of interest. Gene Ontology (GO) Analysis was employed to identify enriched GO terms in the biological process, molecular function, or cellular component categories. Non-parametric multivariate methods were used to classify samples from patients and evaluate the relevance of the analysed proteins’ panel.ResultsA total of 81 proteins were successfully quantified in the human plasma samples. Gene Ontology analysis assessed terms related to blood microparticles, extracellular exosomes and collagen-containing extracellular matrix. Preliminary evaluation using analysis of variance (ANOVA) of the differences in the proteomic profile among patient groups identified 13 out of the 81 proteins as significantly different. Multivariate analysis, including cluster analysis and principal component analysis, identified relevant grouping of the 13 proteins. The first main cluster comprises apolipoprotein C-III, apolipoprotein C-II, apolipoprotein A-IV, retinol-binding protein 4, lysozyme C and cystatin-C; the second one includes, albeit with sub-grouping, alpha 2 macroglobulin, afamin, kininogen 1, vitronectin, vitamin K-dependent protein S, complement factor B and mannan-binding lectin serine protease 2. Receiver operating characteristic (ROC) curves obtained with the 13 selected proteins using a nominal logistic regression indicated a significant overall distinction (p < 0.001) among the three groups of subjects, with area under the ROC curve (AUC) ranging 0.91–0.97, and sensitivity and specificity ranging from 85 to 100%.ConclusionsTargeted mass spectrometry approach indicated 13 multiple circulating proteins as possible biomarkers of cardiovascular damage progression associated with T2DM, with excellent classification results in terms of sensitivity and specificity.

Subclinical Mastitis from Streptococcus agalactiae and Prototheca spp. Induces Changes in Milk Peptidome in Holstein Cattle.

Early detection of bovine subclinical mastitis may improve treatment strategies and reduce the use of antibiotics. Herein, individual milk samples from Holstein cows affected by subclinical mastitis induced by S. agalactiae and Prototheca spp. were analyzed by untargeted and targeted mass spectrometry approaches to assess changes in their peptidome profiles and identify new potential biomarkers of the pathological condition. Results showed a higher amount of peptides in milk positive on the bacteriological examination when compared with the negative control. However, the different pathogens seemed not to trigger specific effects on the milk peptidome. The peptides that best distinguish positive from negative samples are mainly derived from the most abundant milk proteins, especially from β- and αs1-casein, but also include the antimicrobial peptide casecidin 17. These results provide new insights into the physiopathology of mastitis. Upon further validation, the panel of potential discriminant peptides could help the development of new diagnostic and therapeutic tools.

A micro-flow, high-pH, reversed-phase peptide fractionation and collection system for targeted and in-depth proteomics of low-abundance proteins in limiting samples

We present a method and a simple system for high-pH RP-LC peptide fractionation of small sample amounts (30–60 µg), at micro-flow rates with micro-liter fraction collection using ammonium bicarbonate as an optimized buffer for system stability and robustness. The method is applicable to targeted mass spectrometry approaches and to in-depth proteomic studies where the amount of sample is limited. Using targeted proteomics with peptide standards, we present the method's analytical parameters, and potential in increasing the detection of low-abundance proteins that are difficult to quantify with direct targeted or global LC-MS analyses. This fractionation system increased peptide signals by up to 18-fold, while maintaining high quantitative precision, with high fractionation reproducibility across varied sample sets. In real applications, it increased the detection of targeted endogenous peptides by two-fold in a 25 cell-cycle-control protein panel, and in-depth MS analyses of nuclear extracts, it allowed the detection of up to 8,896 proteins with 138,417 peptides in 24-concatenated fractions compared to 3,344 proteins with 23,093 peptides without fractionation. In a relevant biological problem of CDK4/6-inhibitors and breast cancer, the method reproduced known information and revealed novel insights, highlighting that it can be successfully applied in studies involving low-abundance proteins and limited samples.•Tested nine high-pH buffer/solvent systems to obtain a robust, effective, and reproducible micro-flow fractionation method which was devoid of commonly encountered LC clogging/pressure issues after months of use.•Peptide enrichment method to improve detection and quantitation of low-abundance proteins in targeted and in-depth proteomic studies.•Can be applied to diverse protein samples where the available amount is limited.

A single protein to multiple peptides: Investigation of protein-peptide correlations using targeted alpha-2-macroglobulin analysis

Recent advances in proteomics technologies have enabled the analysis of thousands of proteins in a high-throughput manner. Mass spectrometry (MS) based proteomics uses a peptide-centric approach where biological samples undergo specific proteolytic digestion and then only unique peptides are used for protein identification and quantification. Considering the fact that a single protein may have multiple unique peptides and a number of different forms, it becomes essential to understand dynamic protein-peptide relationships to ensure robust and reliable peptide-centric protein analysis. In this study, we investigated the correlation between protein concentration and corresponding unique peptide responses under a conventional proteolytic digestion condition. Protein-peptide correlation, digestion efficiency, matrix-effect, and concentration-effect were evaluated. Twelve unique peptides of alpha-2-macroglobulin (A2MG) were monitored using a targeted MS approach to acquire insights into protein-peptide dynamics. Although the peptide responses were reproducible between replicates, protein-peptide correlation was moderate in protein standards and low in complex matrices. The results suggest that reproducible peptide signal could be misleading in clinical studies and a peptide selection could dramatically change the outcome at protein level. This is the first study investigating quantitative protein-peptide correlations in biological samples using all unique peptides representing the same protein and opens a discussion on peptide-based proteomics.

A Targeted Mass Spectrometry Approach to Identify Peripheral Changes in Metabolic Pathways of Patients with Alzheimer's Disease.

Alzheimer's disease (AD), a neurodegenerative disorder, is the most common cause of dementia in the elderly population. Since its original description, there has been intense debate regarding the factors that trigger its pathology. It is becoming apparent that AD is more than a brain disease and harms the whole-body metabolism. We analyzed 630 polar and apolar metabolites in the blood of 20 patients with AD and 20 healthy individuals, to determine whether the composition of plasma metabolites could offer additional indicators to evaluate any alterations in the metabolic pathways related to the illness. Multivariate statistical analysis showed that there were at least 25 significantly dysregulated metabolites in patients with AD compared with the controls. Two membrane lipid components, glycerophospholipids and ceramide, were upregulated, whereas glutamic acid, other phospholipids, and sphingolipids were downregulated. The data were analyzed using metabolite set enrichment analysis and pathway analysis using the KEGG library. The results showed that at least five pathways involved in the metabolism of polar compounds were dysregulated in patients with AD. Conversely, the lipid pathways did not show significant alterations. These results support the possibility of using metabolome analysis to understand alterations in the metabolic pathways related to AD pathophysiology.

From targeted methods to metabolomics based strategies to screen for growth promoters misuse in horseracing and livestock: A review

Despite banned for public health, societal and economic reasons, and therefore strictly regulated, growth promoters can still be used in farm animals to increase production yields or in racing animals to enhance their performance. The introduction of specific regulations has led to the establishment of control systems, in particular through the development of analytical methods to detect doping practices. Although high-performance analytical strategies, most often based on targeted mass spectrometry approaches, are implemented in testing laboratories, some challenges still remain, particularly those specifically implemented to circumvent controls (e.g. the use of natural hormones, low-dose cocktails, or the use of new synthetic drugs). To overcome some limitations of these targeted methods and to deal with some difficult cases, especially at the critical screening stage, a new strategy emerged in the early 20s: the investigation of effect biomarkers, based on non-targeted profiling involving genomics, transcriptomics, proteomics, and metabolomics approaches for a global analysis of genes, RNAs, proteins and endogenous metabolites, respectively, as potential biomarkers of interest. With hindsight now, metabolomics is recognized the most promising area to highlight biomarkers related to animal doping and their subsequent monitoring in a control perspective. Several studies have already demonstrated the proof of concept of the metabolomics-based workflow and its suitability for alternative screening for a range of growth promoters (e.g., β-agonists, steroids) but also various species (e.g., bovine, horse), it is now time to move on to a robust implementation for monitoring purpose. In particular, the next research question in metabolomics is how to validate resulting non-targeted methods and transfer to routine frameworks, complying standards and regulatory expectations. This state of the art aims at providing an overview of the evolution of screening methods, from direct strategies targeting exposure biomarkers to indirect methods looking for new effect biomarkers based on semi-targeted or non-targeted methods. With the official implementation of these innovative effect biomarkers-based screening strategies in mind, this review article also aims to detail, the metabolomics workflow and best practices from sample preparation to the evaluation of performances of such approaches and ways to validate the corresponding methods.

Abstract 5059: High-throughput monitoring of proteoforms and pathways through multiplexed and customizable mass spectrometry assay panels

Abstract Proteins represent a key class of analytes in pharmacodynamic (PD) analysis, an essential component in preclinical and clinical studies which inform about a biological system’s response to drug treatment. Pharmacodynamic signatures typically comprise target engagement marker and downstream pathway markers. With recent development in targeted therapies and novel therapeutic modalities such as protein degraders, the scope of PD has widened to cover predictive and stratification biomarkers which can inform patient selection and contribute to further understanding of potential drug resistance. Using peptides as surrogate for proteins of interest, mass spectrometry (MS)-based approach alleviates the barriers of reagent specificity of antibody-based methods which can be affected by species and matrices used in preclinical drug development. Moreover, the use of stable-isotope labeled standard (SIS) reference peptides grants targeted MS assays unraveled specificity and the ability to determine absolute quantity of a given analyte. Harnessing the power of targeted MS, we present an oncology-focused assay repository which contains 804 peptides corresponding to 582 proteins. All 804 peptide surrogates were chosen under strict selection criteria such as uniqueness/proteotypicity and stability. Off-the-shelf availability (PQ500 kit) of SIS reference peptides for all 582 proteins facilitates the deployment of any of these assays in a plug-and-play manner. The collection of 582 protein targets cover &amp;gt; 180 cellular pathways (Reactome pathways e.g. cytokine signaling, cell-cell communication, activation of matrix metalloproteinases) together with 49 FDA-approved drug targets. To further evaluate the performance of these assays, we carried out a case control study comprising plasma samples from 5 patient groups (lung, colorectal, pancreatic, breast and prostate cancer) and age and gender-matched healthy subjects. In total, we measured absolute quantities of 582 proteins across 180 plasma samples while validating the expression profiles of well-characterized biomarkers in patient plasma. To conclude, we’ve demonstrated the application of targeted MS approach for the routine analysis of pharmacodynamic biomarkers. Its multiplexing capability, together with the adaptability to various species allow this method to maneuver through preclinical and clinical scenarios. Citation Format: Sebastian Müller, Véronique Laforte, Simonas Savickas, Maik Müller, Yuehan Feng, Lukas Reiter. High-throughput monitoring of proteoforms and pathways through multiplexed and customizable mass spectrometry assay panels. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5059.

Untangling the Complexities of Processing and Analysis for Untargeted LC-MS Data Using Open-Source Tools.

Untargeted metabolomics is a powerful tool for measuring and understanding complex biological chemistries. However, employment, bioinformatics and downstream analysis of mass spectrometry (MS) data can be daunting for inexperienced users. Numerous open-source and free-to-use data processing and analysis tools exist for various untargeted MS approaches, including liquid chromatography (LC), but choosing the 'correct' pipeline isn't straight-forward. This tutorial, in conjunction with a user-friendly online guide presents a workflow for connecting these tools to process, analyse and annotate various untargeted MS datasets. The workflow is intended to guide exploratory analysis in order to inform decision-making regarding costly and time-consuming downstream targeted MS approaches. We provide practical advice concerning experimental design, organisation of data and downstream analysis, and offer details on sharing and storing valuable MS data for posterity. The workflow is editable and modular, allowing flexibility for updated/changing methodologies and increased clarity and detail as user participation becomes more common. Hence, the authors welcome contributions and improvements to the workflow via the online repository. We believe that this workflow will streamline and condense complex mass-spectrometry approaches into easier, more manageable, analyses thereby generating opportunities for researchers previously discouraged by inaccessible and overly complicated software.

An oncogene addiction phosphorylation signature and its derived scores inform tumor responsiveness to targeted therapies

PurposeOncogene addiction provides important therapeutic opportunities for precision oncology treatment strategies. To date the cellular circuitries associated with driving oncoproteins, which eventually establish the phenotypic manifestation of oncogene addiction, remain largely unexplored. Data suggest the DNA damage response (DDR) as a central signaling network that intersects with pathways associated with deregulated addicting oncoproteins with kinase activity in cancer cells.ExperimentalDesignWe employed a targeted mass spectrometry approach to systematically explore alterations in 116 phosphosites related to oncogene signaling and its intersection with the DDR following inhibition of the addicting oncogene alone or in combination with irradiation in MET-, EGFR-, ALK- or BRAF (V600)-positive cancer models. An NSCLC tissue pipeline combining patient-derived xenografts (PDXs) and ex vivo patient organotypic cultures has been established for treatment responsiveness assessment.ResultsWe identified an ‘oncogene addiction phosphorylation signature’ (OAPS) consisting of 8 protein phosphorylations (ACLY S455, IF4B S422, IF4G1 S1231, LIMA1 S490, MYCN S62, NCBP1 S22, P3C2A S259 and TERF2 S365) that are significantly suppressed upon targeted oncogene inhibition solely in addicted cell line models and patient tissues. We show that the OAPS is present in patient tissues and the OAPS-derived score strongly correlates with the ex vivo responses to targeted treatments.ConclusionsWe propose a score derived from OAPS as a quantitative measure to evaluate oncogene addiction of cancer cell samples. This work underlines the importance of protein phosphorylation assessment for patient stratification in precision oncology and corresponding identification of tumor subtypes sensitive to inhibition of a particular oncogene.

Levels of soluble complement regulators predict severity of COVID-19 symptoms.

The SARS-CoV-2 virus continues to cause significant morbidity and mortality worldwide from COVID-19. One of the major challenges of patient management is the broad range of symptoms observed. While the majority of individuals experience relatively mild disease, a significant minority of patients require hospitalisation, with COVID-19 still proving fatal for some. As such, there remains a desperate need to better understand what drives this severe disease, both in terms of the underlying biology, but also to potentially predict at diagnosis which patients are likely to require further interventions, thus enabling better outcomes for both patients and healthcare systems. Several lines of evidence have pointed to dysregulation of the complement cascade as a major factor in severe COVID-19 outcomes. How this is underpinned mechanistically is not known. Here, we have focussed on the role of the soluble complement regulators Complement Factor H (FH), its splice variant Factor H-like 1 (FHL-1) and five Factor H-Related proteins (FHR1-5). Using a targeted mass spectrometry approach, we quantified these proteins in a cohort of 188 plasma samples from controls and SARS-CoV-2 patients taken at diagnosis. This analysis revealed significant elevations in all FHR proteins, but not FH, in patients with more severe disease, particularly FHR2 and FHR5 (FHR2: 1.97-fold, p&lt;0.0001; FHR5: 2.4-fold, p&lt;0.0001). Furthermore, for a subset of 77 SARS-CoV-2 +ve patients we also analysed time course samples taken approximately 28 days post-diagnosis. Here, we see complement regulator levels drop in all individuals with asymptomatic or mild disease, but regulators remain high in those with more severe outcomes, with elevations in FHR2 over baseline levels in this group. These data support the hypothesis that elevation of circulating levels of the FHR family of proteins could predict disease severity in COVID-19 patients, and that the duration of elevation (or lack of immune activation resolution) may be partly responsible for driving poor outcomes in COVID-19.

Quantification of Farnesylated Progerin in Hutchinson-Gilford Progeria Patient Cells by Mass Spectrometry.

Hutchinson-Gilford progeria syndrome (HGPS) is a rare fatal disorder characterized by premature aging and death at a median age of 14.5 years. The most common cause of HGPS (affecting circa 90% of patients) is a de novo heterozygous synonymous single-base substitution (c.1824C>T; p.G608G) in the LMNA gene that results in the accumulation of progerin, an aberrant form of lamin A that, unlike mature lamin A, remains permanently farnesylated. The ratio of progerin to mature lamin A correlates with disease severity in HGPS patients, and can be used to assess the effectiveness of therapies aimed at lessening aberrant splicing or progerin farnesylation. We recently showed that the endogenous content of lamin A and progerin can be measured by mass spectrometry (MS), providing an alternative to immunological methods, which lack the necessary specificity and quantitative accuracy. Here, we present the first non-immunological method that reliably quantifies the levels of wild-type lamin A and farnesylated progerin in cells from HGPS patients. This method, which is based on a targeted MS approach and the use of isotope-labeled internal standards, could be applied in ongoing clinical trials evaluating the efficacy of drugs that inhibit progerin farnesylation.

Riboflavin salvage by Borrelia burgdorferi supports carbon metabolism and is essential for survival in the tick vector.

The Lyme disease agent, Borrelia burgdorferi, harbors a significantly reduced genome and relies on the scavenging of critical nutrients from its tick and mammalian hosts for survival. Riboflavin salvage has been shown to be important for B. burgdorferi infection of mice, yet the contributions of riboflavin to B. burgdorferi metabolism and survival in the tick remain unknown. Using a targeted mass spectrometry approach, we confirmed the importance of bb0318, the putative ATPase component of an ABC-type riboflavin transporter, for riboflavin salvage and the production of FMN and FAD. This analysis further revealed that Δbb0318 B. burgdorferi displayed increased levels of glycerol 3-phosphate compared to the wild-type. The glycerol 3-phosphate dehydrogenase activity of GlpD was found to be FAD-dependent and the transcription and translation of glpD were significantly decreased in Δbb0318 B. burgdorferi. Finally, gene bb0318 was found to be important for maximal spirochete burden in unfed larvae and essential for survival in feeding ticks. Together, these data demonstrate the importance of riboflavin salvage for B. burgdorferi carbon metabolism and survival in ticks.

Abstract 9316: Role of Bile Acids in Calcific Aortic Valve Stenosis

Introduction: Calcific aortic valve stenosis (CAVS) is the most common valvular pathology seen in the Western world. Patients with symptomatic CAVS have a poor prognosis with the only therapy being valvular intervention. There is currently no known mechanism and therefore medical therapy for controlling the progression of CAVS. Our recent metabolomics analysis of human aortic valve tissue identified bile acid biosynthesis as a potential mitigator of valvular stenosis. In this study, utilizing a targeted metabolomics approach, we investigated the role of valvular and plasma bile acids in the degree of severity and the rate of progression of CAVS. Methods: Human aortic valves from 102 patients who underwent AVR surgery were collected. Bile acid profiling (80 bile acids) of valvular tissues along with 19 plasma samples was carried out by a targeted mass spectrometry approach. The explanted aortic valves were graded from mild, moderate, and severe categories based on mean pressure gradient (MPG) and valvular calcification score by transthoracic echocardiography. CAVS progression was determined in a subset of our cohort (N=49), categorizing patients as “fast” and “slow” progressors based on echocardiography measures of the peak jet velocity. Results: Bile acids nordeoxycholic acid, norcholic acid, and glycodeoxycholic acid were significantly altered (p&lt;0.05) across CAVS severity stages based on MPG. Similarly, six bile acids namely nordeoxycholic acid, norcholic acid, 3β,7α-diOH-5-cholestenoic acid, 3β-OH-5-cholestenoic acid, glycolithocholic acid, and glycoallocholic acid were significantly altered (p&lt;0.05) based on valvular calcification scores. Taurodeoxycholic acid showed a significant difference (p&lt;0.05) between the slow and fast progressors. Additionally, valvular tissue levels of these bile acids correlate with plasma levels. Conclusions: In this report, we present a potential novel mechanistic pathway correlating bile acids with the pathogenesis of CAVS. Our goal is to validate these findings in a large cohort of patients with CAVS. Given that bile acid modulating therapies are already used in clinical practice, this represents a potential novel therapeutic target to prevent or delay the progression of CAVS.

A six-metabolite panel as potential blood-based biomarkers for Parkinson\u2019s disease

Characterisation and diagnosis of idiopathic Parkinson’s disease (iPD) is a current challenge that hampers both clinical assessment and clinical trial development with the potential inclusion of non-PD cases. Here, we used a targeted mass spectrometry approach to quantify 38 metabolites extracted from the serum of 231 individuals. This cohort is currently one of the largest metabolomic studies including iPD patients, drug-naïve iPD, healthy controls and patients with Alzheimer’s disease as a disease-specific control group. We identified six metabolites (3-hydroxykynurenine, aspartate, beta-alanine, homoserine, ornithine (Orn) and tyrosine) that are significantly altered between iPD patients and control participants. A multivariate model to predict iPD from controls had an area under the curve (AUC) of 0.905, with an accuracy of 86.2%. This panel of metabolites may serve as a potential prognostic or diagnostic assay for clinical trial prescreening, or for aiding in diagnosing pathological disease in the clinic.

Metabolomics profile responses to changing environments in a common bean (Phaseolus vulgaris L.) germplasm collection

Metabolomics is one of the most powerful -omics to assist plant breeding. Despite the recognized genetic diversity in Portuguese common bean germplasm, details on its metabolomics profiles are still missing. Aiming to promote their use and to understand the environment’s effect in bean metabolomics profiles, 107 Portuguese common bean accessions, cropped under contrasting environments, were analyzed using spectrophotometric, untargeted and targeted mass spectrometry approaches. Although genotype was the most relevant factor on bean metabolomics profile, a clear genotype × environment interaction was also detected. Multivariate analysis highlighted, on the heat-stress environment, the existence of higher levels of salicylic acid, and lower levels of triterpene saponins. Three clusters were defined within each environment. White accessions presented the lowest content and the colored ones the highest levels of prenol lipids and flavonoids. Sources of interesting metabolomics profiles are now identified for bean breeding, focusing either on local or on broad adaptation.

Targeted Quantification of Detergent-Insoluble RNA-Binding Proteins in Human Brain Reveals Stage and Disease Specific Co-aggregation in Alzheimer's Disease.

Core spliceosome and related RNA-binding proteins aggregate in Alzheimer’s disease (AD) brain even in early asymptomatic stages (AsymAD) of disease. To assess the specificity of RNA-binding protein aggregation in AD, we developed a targeted mass spectrometry approach to quantify broad classes of RNA-binding proteins with other pathological proteins including tau and amyloid beta (Aβ) in detergent insoluble fractions from control, AsymAD, AD and Parkinson’s disease (PD) brain. Relative levels of specific insoluble RNA-binding proteins across different disease groups correlated with accumulation of Aβ and tau aggregates. RNA-binding proteins, including splicing factors with homology to the basic-acidic dipeptide repeats of U1-70K, preferentially aggregated in AsymAD and AD. In contrast, PD brain aggregates were relatively depleted of many RNA-binding proteins compared to AsymAD and AD groups. Correlation network analyses resolved 29 distinct modules of co-aggregating proteins including modules linked to spliceosome assembly, nuclear speckles and RNA splicing. Modules related to spliceosome assembly and nuclear speckles showed stage-specific enrichment of insoluble RBPs from AsymAD and AD brains, whereas the RNA splicing module was reduced specifically in PD. Collectively, this work identifies classes of RNA-binding proteins that distinctly co-aggregate in detergent-insoluble fractions across the specific neurodegenerative diseases we examined.

Identification and relative quantification of 3-nitrotyrosine residues in fibrinogen nitrated in vitro and fibrinogen from ischemic stroke patient plasma using LC-MS/MS

Ischemic stroke is one of the leading causes of death and disability worldwide. This acute vascular event interferes with blood supply to the brain and induces a burst of free radicals such as nitric oxide and superoxide, producing peroxynitrite, a precursor of strong nitrating agents. Fibrinogen is one of the most abundant plasma proteins; it plays a role in the hemostatic system, mediating clot formation, which can be affected by nitrotyrosine formation. We hypothesized that nitration of fibrinogen by ONOOH and ONOOCO2− radical products could be one of the early events of the ischemic stroke, and protein-bound 3-nitrotyrosine could be a potential biomarker for diagnosis and/or prognosis of this condition. A targeted mass spectrometry approach was developed to analyze the nitration of fibrinogen and its association with ischemic stroke. First, a comprehensive mapping of 3-nitrotyrosine locations and their relative quantification was performed by LC-MS/MS, using in vitro nitrated fibrinogen samples. Twenty different 3-nitrotyrosine residues were identified on fibrinogen nitrated in vitro, varying with the peroxynitrite tofibrinogen molar ratio used. Nine tyrosine residues that were consistently modified at different treatment ratios were chosen to perform a targeted LC-MS/MS analysis in clinical samples. Enriched fibrinogen fractions from clinical samples from 24 ischemic stroke and 12 patients with non-inflammatory conditions were analysed with this method. Three of the nine tyrosine residues analysed (βY452, βY475 and γY380) showed a significant difference between the ischemic stroke and non-inflammatory disease groups. ROC curve analysis suggested an association of these residues either individually or in combination with ischemic stroke. Different tyrosine nitration patterns were also observed in fibrinogen modified in vitro and in vivo, suggesting differences in the nitration process in these situations. This is the first study showing a putative association between the nitration profile of specific tyrosine residues in human fibrinogen and ischemic stroke.

Multiplexed MRM-Based Proteomics Identified Multiple Biomarkers of Disease Severity in Human Heart Failure.

Heart failure (HF) is a complex disease due to the intricate interplay of several mechanisms, which therefore implies the need for a multimarker strategy to better personalize the care of patients with HF. In this study, we developed a targeted mass spectrometry approach based on multiple reaction monitoring (MRM) to measure multiple circulating protein biomarkers, involved in cardiovascular disease, to address their relevance in the human HF, intending to assess the feasibility of the workflow in the disease monitoring and risk stratification. In this study, we analyzed a total of 60 plasma proteins in 30 plasma samples from eight control subjects and 22 age- and gender- matched HF patients. We identified a panel of four plasma proteins, namely Neuropilin-2, Beta 2 microglobulin, alpha-1-antichymotrypsin, and complement component C9, that were more abundant in HF patients in relation to disease severity and pulmonary dysfunction. Moreover, we showed the ability of the combination of these candidate proteins to discriminate, with sufficient accuracy, HF patients from healthy subjects. In conclusion, we demonstrated the feasibility and potential of a proteomic workflow based on MRM mass spectrometry for the evaluation of multiple proteins in human plasma and the identification of a panel of biomarkers of HF severity.

Abstract PO-015: Systematic discovery of KRAS neoantigens

Abstract Response rates to immunotherapies in pancreatic ductal adenocarcinoma (PDAC) patients are low. However, cases with long-term survival have been correlated with both T cell infiltration and quality of neoantigens (i.e., epitopes from mutations presented by Human Leukocyte Antigen (HLA) molecules). It is known that mutations in the KRAS oncogene, which occur in the majority of PDAC patients, can be recognized by T cells as neoantigens on specific HLA molecules and lead to tumor control. KRAS neoantigens may thus be an attractive therapeutic target in a substantial fraction of PDAC patients. In this study, we systematically evaluated a broad range of KRAS neoantigens using an integrated discovery and validation pipeline. To date, the discovery and validation of KRAS neoantigens has mainly relied on the detection of stochastic T cell responses in patient samples or the use of transgenic mouse models. As such, the reported coverage of common HLA alleles is relatively limited. To overcome these issues, we established a systematic pipeline that addresses two fundamental principles: (1) the presentation of the neoantigen on cells with the mutation and (2) ability of the neoantigen to elicit T cell responses. The presentation of potential neoantigens was evaluated by applying a targeted mass spectrometry approach to detect peptides eluted from specific class I HLA molecules isolated from cells harboring a KRAS mutation of interest. T cell responses were elicited to MS-observed peptides using a proprietary in vitro stimulation protocol, after which the T cells can further be used in cytotoxicity assays to orthogonally confirm neoantigen presentation. We substantiated our pipeline using KRAS codon 12 neoantigens reported in the literature (e.g., G12D on HLA-C*08:02), then evaluated novel neoantigens predicted to be presented by common class I HLA molecules in the U.S. population. Through this pipeline, we have increased the number of validated KRAS neoantigens and thus the targetable patient population expected to harbor at least one KRAS neoantigen. A more comprehensive understanding of KRAS neoantigens will help drive focused therapies, such as the development of tumor-specific T cell receptor (TCR) therapies or neoantigen vaccines in appropriate patient populations in PDAC or other indications. Citation Format: Jaewon Choi, Scott P Goulding, Brandon P. Conn, Christopher D. McGann, Jared L. Dietze, Jessica Kohler, Divya R. Lenkala, Antoine Boudot, Daniel A. Rothenberg, Paul J. Turcott, John S. Srouji, Michael S. Rooney, Marit M. van Buuren, Richard B. Gaynor, Jennifer G. Abelin, Terri A. Addona, Vikram R. Juneja. Systematic discovery of KRAS neoantigens [abstract]. In: Proceedings of the AACR Virtual Special Conference on Pancreatic Cancer; 2020 Sep 29-30. Philadelphia (PA): AACR; Cancer Res 2020;80(22 Suppl):Abstract nr PO-015.