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Camilleri E, Kruijt M, den Exter PL, Cannegieter SC, van Rein N, Cobbaert CM, van Vlijmen BJM, Ruhaak LR. Quantitative protein mass spectrometry for multiplex measurement of coagulation and fibrinolytic proteins towards clinical application: What, why and how? Thromb Res 2024; 241:109090. [PMID: 39032389 DOI: 10.1016/j.thromres.2024.109090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 06/20/2024] [Accepted: 07/03/2024] [Indexed: 07/23/2024]
Abstract
Plasma proteins involved in coagulation and fibrinolysis are essential to hemostasis. Consequently, their circulating levels and functionality are critical in bleeding and thrombosis development. Well-established laboratory tests to assess these are available; however, said tests do not allow high multiplicity, require large volumes of plasma and are often costly. A novel technology to quantify plasma proteins is quantitative protein mass spectrometry (QPMS). Aided by stable isotope-labeled internal standards a large number of proteins can be quantified in one single analytical run requiring <30 μL of plasma. This provides an opportunity to improve insight in the etiology and prognosis of bleeding and thrombotic disorders, in which the balance between different proteins plays a crucial role. This manuscript aims to give an overview of the QPMS potential applications in thrombosis and hemostasis research (quantifying the 38 proteins assigned to coagulation and fibrinolysis by the KEGG database), but also to explore the potential and hurdles if designed for clinical practice. Advantages and limitations of QPMS are described and strategies for improved analysis are proposed, using as an example the test requirements for antithrombin. Application of this technology in the future could represent a step towards individualized patient care.
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Affiliation(s)
- Eleonora Camilleri
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Mirjam Kruijt
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Paul L den Exter
- Department of Internal Medicine, Division of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| | - Suzanne C Cannegieter
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands; Department of Internal Medicine, Division of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands; Einthoven Laboratory for Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Nienke van Rein
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands; Department of Pharmacy, Leiden University Medical Center, Leiden, the Netherlands
| | - Christa M Cobbaert
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Bart J M van Vlijmen
- Department of Internal Medicine, Division of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands; Einthoven Laboratory for Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, the Netherlands.
| | - L Renee Ruhaak
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, the Netherlands
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2
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Yang JC, Hsu TH, Chen CS, Yu JH, Lin KI, Chen YJ. Enhanced Proteomic Coverage in Tissue Microenvironment by Immune Cell Subtype Library-Assisted DIA-MS. Mol Cell Proteomics 2024; 23:100792. [PMID: 38810695 PMCID: PMC11260568 DOI: 10.1016/j.mcpro.2024.100792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 04/30/2024] [Accepted: 05/26/2024] [Indexed: 05/31/2024] Open
Abstract
Immune cells that infiltrate the tumor microenvironment (TME) play crucial roles in shaping cancer development and influencing clinical outcomes and therapeutic responses. However, obtaining a comprehensive proteomic snapshot of tumor-infiltrating immunity in clinical specimens is often hindered by small sample amounts and a low proportion of immune infiltrating cells in the TME. To enable in-depth and highly sensitive profiling of microscale tissues, we established an immune cell-enriched library-assisted strategy for data-independent acquisition mass spectrometry (DIA-MS). Firstly, six immune cell subtype-specific spectral libraries were established from sorted cluster of differentiation markers, CD8+, CD4+ T lymphocytes, B lymphocytes, natural killer cells, dendritic cells, and macrophages in murine mesenteric lymph nodes (MLNs), covering 7815 protein groups with surface markers and immune cell-enriched proteins. The feasibility of microscale immune proteomic profiling was demonstrated on 1 μg tissue protein from the tumor of murine colorectal cancer (CRC) models using single-shot DIA; the immune cell-enriched library increased coverage to quantify 7419 proteins compared to directDIA analysis (6978 proteins). The enhancement enabled the mapping of 841 immune function-related proteins and exclusive identification of many low-abundance immune proteins, such as CD1D1, and CD244, demonstrating high sensitivity for immune landscape profiling. This approach was used to characterize the MLNs in CRC models, aiming to elucidate the mechanism underlying their involvement in cancer development within the TME. Even with a low percentage of immune cell infiltration (0.25-3%) in the tumor, our results illuminate downregulation in the adaptive immune signaling pathways (such as C-type lectin receptor signaling, and chemokine signaling), T cell receptor signaling, and Th1/Th2/Th17 cell differentiation, suggesting an immunosuppressive status in MLNs of CRC model. The DIA approach using the immune cell-enriched libraries showcased deep coverage and high sensitivity that can facilitate illumination of the immune proteomic landscape for microscale samples.
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Affiliation(s)
- Jhih-Ci Yang
- Institute of Chemistry, Academia Sinica, Taipei, Taiwan; Sustainable Chemical Science and Technology, Taiwan International Graduate Program, Academia Sinica and National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Tzi-Hui Hsu
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | | | - Jou-Hui Yu
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Kuo-I Lin
- Genomics Research Center, Academia Sinica, Taipei, Taiwan.
| | - Yu-Ju Chen
- Institute of Chemistry, Academia Sinica, Taipei, Taiwan; Sustainable Chemical Science and Technology, Taiwan International Graduate Program, Academia Sinica and National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Chemistry, National Taiwan University, Taipei, Taiwan.
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3
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Schrader JM, Xu F, Agostinucci KJ, DaSilva NA, Van Nostrand WE. Longitudinal markers of cerebral amyloid angiopathy and related inflammation in rTg-DI rats. Sci Rep 2024; 14:8441. [PMID: 38600214 PMCID: PMC11006668 DOI: 10.1038/s41598-024-59013-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 04/05/2024] [Indexed: 04/12/2024] Open
Abstract
Cerebral amyloid angiopathy (CAA) is a prevalent vascular dementia and common comorbidity of Alzheimer's disease (AD). While it is known that vascular fibrillar amyloid β (Aβ) deposits leads to vascular deterioration and can drive parenchymal CAA related inflammation (CAA-ri), underlying mechanisms of CAA pathology remain poorly understood. Here, we conducted brain regional proteomic analysis of early and late disease stages in the rTg-DI CAA rat model to gain molecular insight to mechanisms of CAA/CAA-ri progression and identify potential brain protein markers of CAA/CAA-ri. Longitudinal brain regional proteomic analysis revealed increased differentially expressed proteins (DEP) including ANXA3, HTRA1, APOE, CST3, and CLU, shared between the cortex, hippocampus, and thalamus, at both stages of disease in rTg-DI rats. Subsequent pathway analysis indicated pathway enrichment and predicted activation of TGF-β1, which was confirmed by immunolabeling and ELISA. Further, we identified numerous CAA related DEPs associate with astrocytes (HSPB1 and MLC1) and microglia (ANXA3, SPARC, TGF-β1) not previously associated with astrocytes or microglia in other AD models, possibly indicating that they are specific to CAA-ri. Thus, the data presented here identify several potential brain protein biomarkers of CAA/CAA-ri while providing novel molecular and mechanistic insight to mechanisms of CAA and CAA-ri pathological progression and glial cell mediated responses.
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Affiliation(s)
- Joseph M Schrader
- Department of Biomedical and Pharmaceutical Sciences, George & Anne Ryan Institute for Neuroscience, University of Rhode Island, 130 Flagg Road, Kingston, Rhode Island, 02881, USA
| | - Feng Xu
- Department of Biomedical and Pharmaceutical Sciences, George & Anne Ryan Institute for Neuroscience, University of Rhode Island, 130 Flagg Road, Kingston, Rhode Island, 02881, USA
| | - Kevin J Agostinucci
- Department of Biomedical and Pharmaceutical Sciences, George & Anne Ryan Institute for Neuroscience, University of Rhode Island, 130 Flagg Road, Kingston, Rhode Island, 02881, USA
| | - Nicholas A DaSilva
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island, 02912, USA
| | - William E Van Nostrand
- Department of Biomedical and Pharmaceutical Sciences, George & Anne Ryan Institute for Neuroscience, University of Rhode Island, 130 Flagg Road, Kingston, Rhode Island, 02881, USA.
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Williams G, Couchman L, Taylor DR, Sandhu JK, Slingsby OC, Ng LL, Moniz CF, Jones DJL, Maxwell CB. Use of Nonhuman Sera as a Highly Cost-Effective Internal Standard for Quantitation of Multiple Human Proteins Using Species-Specific Tryptic Peptides: Applicability in Clinical LC-MS Analyses. J Proteome Res 2024. [PMID: 38533909 DOI: 10.1021/acs.jproteome.3c00762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
Quantitation of proteins using liquid chromatography-tandem mass spectrometry (LC-MS/MS) is complex, with a multiplicity of options ranging from label-free techniques to chemically and metabolically labeling proteins. Increasingly, for clinically relevant analyses, stable isotope-labeled (SIL) internal standards (ISs) represent the "gold standard" for quantitation due to their similar physiochemical properties to the analyte, wide availability, and ability to multiplex to several peptides. However, the purchase of SIL-ISs is a resource-intensive step in terms of cost and time, particularly for screening putative biomarker panels of hundreds of proteins. We demonstrate an alternative strategy utilizing nonhuman sera as the IS for quantitation of multiple human proteins. We demonstrate the effectiveness of this strategy using two high abundance clinically relevant analytes, vitamin D binding protein [Gc globulin] (DBP) and albumin (ALB). We extend this to three putative risk markers for cardiovascular disease: plasma protease C1 inhibitor (SERPING1), annexin A1 (ANXA1), and protein kinase, DNA-activated catalytic subunit (PRKDC). The results show highly specific, reproducible, and linear measurement of the proteins of interest with comparable precision and accuracy to the gold standard SIL-IS technique. This approach may not be applicable to every protein, but for many proteins it can offer a cost-effective solution to LC-MS/MS protein quantitation.
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Affiliation(s)
- Geraldine Williams
- Leicester van Geest MS-OMICS Facility, Hodgkin Building, University of Leicester, Leicester LE1 9HN, United Kingdom
- Department of Cardiovascular Sciences and NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, United Kingdom
| | - Lewis Couchman
- Leicester Cancer Research Centre, RKCSB, University of Leicester, Leicester LE2 7LX, United Kingdom
- Viapath Analytics, King's College Hospital, Denmark Hill, London SE5 9RS, United Kingdom
- Department of Clinical Biochemistry, King's College Hospital, Denmark Hill, London SE5 9RS, United Kingdom
| | - David R Taylor
- Viapath Analytics, King's College Hospital, Denmark Hill, London SE5 9RS, United Kingdom
| | - Jatinderpal K Sandhu
- Leicester van Geest MS-OMICS Facility, Hodgkin Building, University of Leicester, Leicester LE1 9HN, United Kingdom
- Department of Cardiovascular Sciences and NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, United Kingdom
| | - Oliver C Slingsby
- Leicester van Geest MS-OMICS Facility, Hodgkin Building, University of Leicester, Leicester LE1 9HN, United Kingdom
- Department of Cardiovascular Sciences and NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, United Kingdom
| | - Leong L Ng
- Leicester van Geest MS-OMICS Facility, Hodgkin Building, University of Leicester, Leicester LE1 9HN, United Kingdom
- Department of Cardiovascular Sciences and NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, United Kingdom
| | - Cajetan F Moniz
- Department of Clinical Biochemistry, King's College Hospital, Denmark Hill, London SE5 9RS, United Kingdom
| | - Donald J L Jones
- Leicester van Geest MS-OMICS Facility, Hodgkin Building, University of Leicester, Leicester LE1 9HN, United Kingdom
- Leicester Cancer Research Centre, RKCSB, University of Leicester, Leicester LE2 7LX, United Kingdom
- Department of Cardiovascular Sciences and NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, United Kingdom
| | - Colleen B Maxwell
- Leicester van Geest MS-OMICS Facility, Hodgkin Building, University of Leicester, Leicester LE1 9HN, United Kingdom
- Department of Cardiovascular Sciences and NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, United Kingdom
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5
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Reijnders E, van der Laarse A, Ruhaak LR, Cobbaert CM. Closing the gaps in patient management of dyslipidemia: stepping into cardiovascular precision diagnostics with apolipoprotein profiling. Clin Proteomics 2024; 21:19. [PMID: 38429638 PMCID: PMC10908091 DOI: 10.1186/s12014-024-09465-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 02/14/2024] [Indexed: 03/03/2024] Open
Abstract
In persons with dyslipidemia, a high residual risk of cardiovascular disease remains despite lipid lowering therapy. Current cardiovascular risk prediction mainly focuses on low-density lipoprotein cholesterol (LDL-c) levels, neglecting other contributing risk factors. Moreover, the efficacy of LDL-c lowering by statins resulting in reduced cardiovascular risk is only partially effective. Secondly, from a metrological viewpoint LDL-c falls short as a reliable measurand. Both direct and calculated LDL-c tests produce inaccurate test results at the low end under aggressive lipid lowering therapy. As LDL-c tests underperform both clinically and metrologically, there is an urging need for molecularly defined biomarkers. Over the years, apolipoproteins have emerged as promising biomarkers in the context of cardiovascular disease as they are the functional workhorses in lipid metabolism. Among these, apolipoprotein B (ApoB), present on all atherogenic lipoprotein particles, has demonstrated to clinically outperform LDL-c. Other apolipoproteins, such as Apo(a) - the characteristic apolipoprotein of the emerging risk factor lipoprotein(a) -, and ApoC-III - an inhibitor of triglyceride-rich lipoprotein clearance -, have attracted attention as well. To support personalized medicine, we need to move to molecularly defined risk markers, like the apolipoproteins. Molecularly defined diagnosis and molecularly targeted therapy require molecularly measured biomarkers. This review provides a summary of the scientific validity and (patho)physiological role of nine serum apolipoproteins, Apo(a), ApoB, ApoC-I, ApoC-II, ApoC-III, ApoE and its phenotypes, ApoA-I, ApoA-II, and ApoA-IV, in lipid metabolism, their association with cardiovascular disease, and their potential as cardiovascular risk markers when measured in a multiplex apolipoprotein panel.
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Affiliation(s)
- Esther Reijnders
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, the Netherlands.
| | - Arnoud van der Laarse
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - L Renee Ruhaak
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, the Netherlands
| | - Christa M Cobbaert
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, the Netherlands
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6
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Diederiks NM, Ruhaak LR, Romijn FPHTM, Pieterse MM, Smit NPM, Cobbaert CM. An LC-MS-based designated comparison method with similar performance to the Lp(a) reference measurement procedure to guide molar Lp(a) standardization. Clin Proteomics 2024; 21:5. [PMID: 38267848 PMCID: PMC10809433 DOI: 10.1186/s12014-023-09446-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 12/07/2023] [Indexed: 01/26/2024] Open
Abstract
BACKGROUND The 2022 consensus statement of the European Atherosclerosis Society (EAS) on lipoprotein(a) (Lp(a)) recognizes the role of Lp(a) as a relevant genetically determined risk factor and recommends its measurement at least once in an individual's lifetime. It also strongly urges that Lp(a) test results are expressed as apolipoprotein (a) (apo(a)) amount of substance in molar units and no longer in confounded Lp(a) mass units (mg/dL or mg/L). Therefore, IVD manufacturers should transition to molar units. A prerequisite for this transition is the availability of an Lp(a) Reference Measurement Procedure (RMP) that allows unequivocal molecular detection and quantification of apo(a) in Lp(a). To that end an ISO 17511:2020 compliant LC-MS based and IFCC-endorsed RMP has been established that targets proteotypic peptides of apolipoprotein(a) (apo(a)) in Lp(a). The RMP is laborious and requires highly skilled operators. To guide IVD-manufacturers of immunoassay-based Lp(a) test kits in the transition from mass to molar units, a Designated Comparison Method (DCM) has been developed and evaluated. METHODS To assess whether the DCM provides equivalent results compared to the RMP, the procedural designs were compared and the analytical performance of DCM and RMP were first evaluated in a head-to-head comparison. Subsequently, apo(a) was quantified in 153 human clinical serum samples. Both DCM and RMP were calibrated using external native calibrators that produce results traceable to SRM2B. Measurement uncertainty (MU) was checked against predefined allowable MU. RESULTS The major difference in the design of the DCM for apo(a) is the use of only one enzymatic digestion step. The analytical performance of the DCM and RMP for apo(a) is highly similar. In a direct method comparison, equivalent results were obtained with a median regression slope 0.997 of and a median bias of - 0.2 nmol/L (- 0.2%); the intermediate imprecision of the test results was within total allowable error (TEa) (CVa of 10.2% at 90 nmol/L). CONCLUSIONS The semi-automated, higher throughput, LC-MS-based method for Lp(a) meets the predefined analytical performance specifications and allowable MU and is hence applicable as a higher order Designated Comparison Method, which is ideally suited to guide IVD manufacturers in the transition from Lp(a) mass to molar units.
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Affiliation(s)
- Nina M Diederiks
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Postzone E2-P, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - L Renee Ruhaak
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Postzone E2-P, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Fred P H T M Romijn
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Postzone E2-P, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Mervin M Pieterse
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Postzone E2-P, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Nico P M Smit
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Postzone E2-P, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Christa M Cobbaert
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Postzone E2-P, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
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7
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Tang C, Verwilligen A, Sadoff J, Brandenburg B, Sneekes-Vriese E, van den Kerkhof T, Dillen L, Rutten L, Juraszek J, Callewaert K, Janssen S, Huizingh J, Euler Z, Schilperoord T, Verhemeldonck M, Langedijk JPM, Hendriks J, Stieh DJ. Absolute quantitation of binding antibodies from clinical samples. NPJ Vaccines 2024; 9:8. [PMID: 38184641 PMCID: PMC10771429 DOI: 10.1038/s41541-023-00793-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 12/08/2023] [Indexed: 01/08/2024] Open
Abstract
The quantitation of antibody responses is a critical requirement for the successful development of vaccines and therapeutics that often relies on the use of standardized reference materials to determine relative quantities within biological samples. The validity of comparing responses across assays using arbitrarily defined reference values is therefore limited. We developed a generalizable method known as MASCALE (Mass Spectrometry Enabled Conversion to Absolute Levels of ELISA Antibodies) for absolute quantitation of antibodies by calibrating ELISA reference sera using mass spectrometry. Levels of proteotypic peptides served as a proxy for human IgG, allowing the conversion of responses from arbitrary values to absolute amounts. Applications include comparison of binding assays at two separate laboratories and evaluation of cross-clade magnitude-breadth responses induced by an investigational HIV-1 vaccine regimen. MASCALE addresses current challenges in the interpretation of immune responses in clinical trials and expands current options available to make suitable comparisons across different settings.
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Affiliation(s)
- Chan Tang
- Janssen Vaccines & Prevention, Leiden, The Netherlands
| | | | - Jerald Sadoff
- Janssen Vaccines & Prevention, Leiden, The Netherlands
| | | | | | | | | | - Lucy Rutten
- Janssen Vaccines & Prevention, Leiden, The Netherlands
| | | | | | - Sarah Janssen
- Janssen Vaccines & Prevention, Leiden, The Netherlands
| | | | - Zelda Euler
- Janssen Vaccines & Prevention, Leiden, The Netherlands
| | | | | | | | | | - Daniel J Stieh
- Janssen Vaccines & Prevention, Leiden, The Netherlands.
- Vaccine Company, Inc., South San Francisco, CA, USA.
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8
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Henrion A, Arsene CG, Liebl M, O'Connor G. Label-free quantification of host cell protein impurity in recombinant hemoglobin materials. Anal Bioanal Chem 2024; 416:387-396. [PMID: 38008782 PMCID: PMC10761545 DOI: 10.1007/s00216-023-05024-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 10/09/2023] [Accepted: 10/27/2023] [Indexed: 11/28/2023]
Abstract
Quantitative analysis relies on pure-substance primary calibrators with known mass fractions of impurity. Here, label-free quantification (LFQ) is being evaluated as a readily available, reliable method for determining the mass fraction of host cell proteins (HCPs) in bioengineered proteins which are intended for use as protein calibration standards. In this study a purified hemoglobin-A2 (HbA2) protein, obtained through its overexpression in E. coli, was used. Two different materials were produced: natural and U15N-labeled HbA2. For the quantification of impurities, precursor ion (MS1-) intensities were integrated over all E. coli proteins identified and divided by the intensities obtained for HbA2. This ratio was calibrated against the corresponding results for an E. coli cell lysate, which had been spiked at known mass ratios to pure HbA2. To demonstrate the universal applicability of LFQ, further proteomes (yeast and human K562) were then alternatively used for calibration and found to produce comparable results. Valid results were also obtained when the complexity of the calibrator was reduced to a mix of just nine proteins, and a minimum of five proteins was estimated to be sufficient to keep the sampling error below 15%. For the studied materials, HbA2 mass fractions (or purities) of 923 and 928 mg(HbA2)/g(total protein) were found with expanded uncertainties (U) of 2.8 and 1.3%, resp. Value assignment by LFQ thus contributes up to about 3% of the overall uncertainty of HbA2 quantification when these materials are used as calibrators. Further purification of the natural HbA2 yielded a mass fraction of 999.1 mg/g, with a negligible uncertainty (U = 0.02%), though at a significant loss of material. If an overall uncertainty of 5% is acceptable for protein quantification, working with the original materials would therefore definitely be viable, circumventing the need of further purification.
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Affiliation(s)
- André Henrion
- Physikalisch-Technische Bundesanstalt (PTB), Bundesallee 100, 38116, Braunschweig, Germany
| | | | - Maik Liebl
- Physikalisch-Technische Bundesanstalt (PTB), Bundesallee 100, 38116, Braunschweig, Germany
| | - Gavin O'Connor
- Physikalisch-Technische Bundesanstalt (PTB), Bundesallee 100, 38116, Braunschweig, Germany.
- Department of Biochemistry and Bioinformatics, Technische Universität Braunschweig, 38106, Braunschweig, Germany.
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9
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Diederiks NM, van der Burgt YEM, Ruhaak LR, Cobbaert CM. Developing an SI-traceable Lp(a) reference measurement system: a pilgrimage to selective and accurate apo(a) quantification. Crit Rev Clin Lab Sci 2023; 60:483-501. [PMID: 37128734 DOI: 10.1080/10408363.2023.2199353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 03/14/2023] [Accepted: 04/01/2023] [Indexed: 05/03/2023]
Abstract
In the past decade a remarkable rebirth of serum/plasma lipoprotein(a) (Lp(a)) as an independent risk factor of cardiovascular disease (CVD) occurred. Updated evidence for a causal continuous association in different ethnic groups between Lp(a) concentrations and cardiovascular outcomes has been published in the latest European Atherosclerosis Society (EAS) Lp(a) consensus statement. Interest in measuring Lp(a) at least once in a person's lifetime moreover originates from the development of promising new Lp(a) lowering drugs. Accurate and clinically effective Lp(a) tests are of key importance for the timely detection of high-risk individuals and for future evaluation of the therapeutic effects of Lp(a) lowering medication. To this end, it is necessary to improve the performance and standardization of existing Lp(a) tests, as is also noted in the Lp(a) consensus statement. Consequently, a state-of-the-art internationally endorsed reference measurement system (RMS) must be in place that allows for performance evaluation of Lp(a) field tests in order to certify their validity and accuracy. An ELISA-based RMS from Northwest Lipid Research Laboratory (University of Washington, Seattle, USA) has been available since the 1990s. A next-generation apo(a)/Lp(a) RMS is now being developed by a working group from the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC). The envisioned apo(a) RMS is based on the direct measurement of selected proteotypic fragments generated after proteolytic digestion using quantitative protein mass spectrometry (MS). The choice for an MS-based RMS enables selective measurement of the proteotypic peptides and is by design apo(a) isoform insensitive. Clearly, the equimolar conversion of apo(a) into the surrogate peptide measurands is required to obtain accurate Lp(a) results. The completeness of proteolysis under reaction conditions from the candidate reference measurement procedure (RMP) has been demonstrated for the quantifying apo(a) peptides. Currently, the candidate apo(a) RMP is endorsed by the IFCC and recommendations for suitable secondary reference materials have been made in a recent commutability study paper. Ongoing efforts toward a complete apo(a) RMS that is listed by the Joint Committee on Traceability in Laboratory Medicine (JCTLM) are focused on the peptide-based calibration and the establishment of a network of calibration laboratories running the apo(a) RMS in a harmonized way. Once completed, it will be the holy grail for evaluation and certification of Lp(a) field methods.
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Affiliation(s)
- Nina M Diederiks
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, ZA, The Netherlands
| | - Yuri E M van der Burgt
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, ZA, The Netherlands
| | - L Renee Ruhaak
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, ZA, The Netherlands
| | - Christa M Cobbaert
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, ZA, The Netherlands
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10
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Kim SS, Shin H, Ahn KG, Park YM, Kwon MC, Lim JM, Oh EK, Kim Y, Han SM, Noh DY. Quantifiable peptide library bridges the gap for proteomics based biomarker discovery and validation on breast cancer. Sci Rep 2023; 13:8991. [PMID: 37268731 DOI: 10.1038/s41598-023-36159-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 05/30/2023] [Indexed: 06/04/2023] Open
Abstract
Mass spectrometry (MS) based proteomics is widely used for biomarker discovery. However, often, most biomarker candidates from discovery are discarded during the validation processes. Such discrepancies between biomarker discovery and validation are caused by several factors, mainly due to the differences in analytical methodology and experimental conditions. Here, we generated a peptide library which allows discovery of biomarkers in the equal settings as the validation process, thereby making the transition from discovery to validation more robust and efficient. The peptide library initiated with a list of 3393 proteins detectable in the blood from public databases. For each protein, surrogate peptides favorable for detection in mass spectrometry was selected and synthesized. A total of 4683 synthesized peptides were spiked into neat serum and plasma samples to check their quantifiability in a 10 min liquid chromatography-MS/MS run time. This led to the PepQuant library, which is composed of 852 quantifiable peptides that cover 452 human blood proteins. Using the PepQuant library, we discovered 30 candidate biomarkers for breast cancer. Among the 30 candidates, nine biomarkers, FN1, VWF, PRG4, MMP9, CLU, PRDX6, PPBP, APOC1, and CHL1 were validated. By combining the quantification values of these markers, we generated a machine learning model predicting breast cancer, showing an average area under the curve of 0.9105 for the receiver operating characteristic curve.
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Affiliation(s)
- Sung-Soo Kim
- Manufacturing and Technology Division, Bertis Inc., Hungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
- Bio Convergence Research Institute, Bertis Inc., Heungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
| | - HyeonSeok Shin
- Bio Convergence Research Institute, Bertis Inc., Heungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
| | - Kyung-Geun Ahn
- Manufacturing and Technology Division, Bertis Inc., Hungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
| | - Young-Min Park
- Manufacturing and Technology Division, Bertis Inc., Hungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
| | - Min-Chul Kwon
- Manufacturing and Technology Division, Bertis Inc., Hungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
| | - Jae-Min Lim
- Manufacturing and Technology Division, Bertis Inc., Hungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
| | - Eun-Kyung Oh
- Manufacturing and Technology Division, Bertis Inc., Hungdeok 1-Ro, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 16954, Republic of Korea
| | - Yumi Kim
- Department of Surgery, CHA Gangnam Medical Center, CHA University School of Medicine, 566, Nonhyeon-ro, Gangnam-gu, Seoul, 06135, Republic of Korea
| | - Seung-Man Han
- Bertis Inc., 172, Dolma-Ro, Bundang-Gu, Seongnam-Si, Gyeonggi-Do, 13605, Republic of Korea
| | - Dong-Young Noh
- Department of Surgery, CHA Gangnam Medical Center, CHA University School of Medicine, 566, Nonhyeon-ro, Gangnam-gu, Seoul, 06135, Republic of Korea.
- Bertis Inc., 172, Dolma-Ro, Bundang-Gu, Seongnam-Si, Gyeonggi-Do, 13605, Republic of Korea.
- Seoul National University College of Medicine, 103 Daehak-Ro, Seoul, 03080, Republic of Korea.
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11
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van der Burgt Y, Wuhrer M. The role of clinical glyco(proteo)mics in precision medicine. Mol Cell Proteomics 2023:100565. [PMID: 37169080 DOI: 10.1016/j.mcpro.2023.100565] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 04/12/2023] [Accepted: 05/02/2023] [Indexed: 05/13/2023] Open
Abstract
Glycoproteomics reveals site-specific O- and N-glycosylation that may influence protein properties including binding, activity and half-life. The increasingly mature toolbox with glycomic- and glycoproteomic strategies is applied for the development of biopharmaceuticals and discovery and clinical evaluation of glycobiomarkers in various disease fields. Notwithstanding the contributions of glycoscience in identifying new drug targets, the current report is focused on the biomarker modality that is of interest for diagnostic and monitoring purposes. To this end it is noted that the identification of biomarkers has received more attention than corresponding quantification. Most analytical methods are very efficient in detecting large numbers of analytes but developments to accurately quantify these have so far been limited. In this perspective a parallel is made with earlier proposed tiers for protein quantification using mass spectrometry. Moreover, the foreseen reporting of multimarker readouts is discussed to describe an individual's health or disease state and their role in clinical decision-making. The potential of longitudinal sampling and monitoring of glycomic features for diagnosis and treatment monitoring is emphasized. Finally, different strategies that address quantification of a multimarker panel will be discussed.
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Affiliation(s)
- Yuri van der Burgt
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
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12
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Ruhaak LR, Romijn FPHTM, Begcevic Brkovic I, Kuklenyik Z, Dittrich J, Ceglarek U, Hoofnagle AN, Althaus H, Angles-Cano E, Coassin S, Delatour V, Deprez L, Dikaios I, Kostner GM, Kronenberg F, Lyle A, Prinzing U, Vesper HW, Cobbaert CM. Development of an LC-MRM-MS-Based Candidate Reference Measurement Procedure for Standardization of Serum Apolipoprotein (a) Tests. Clin Chem 2023; 69:251-261. [PMID: 36644914 DOI: 10.1093/clinchem/hvac204] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 11/02/2022] [Indexed: 01/17/2023]
Abstract
BACKGROUND Medical results generated by European CE Marking for In Vitro Diagnostic or in-house tests should be traceable to higher order reference measurement systems (RMS), such as International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)-endorsed reference measurement procedures (RMPs) and reference materials. Currently, serum apolipoprotein (a) [apo(a)] is recognized as a novel risk factor for cardiovascular risk assessment and patient management. The former RMS for serum apo(a) is no longer available; consequently, an International System of Units (SI)-traceable, ideally multiplexed, and sustainable RMS for apo(a) is needed. METHODS A mass spectrometry (MS)-based candidate RMP (cRMP) for apo(a) was developed using quantitative bottom-up proteomics targeting 3 proteotypic peptides. The method was provisionally validated according to ISO 15193 using a single human serum based calibrator traceable to the former WHO-IFCC RMS. RESULTS The quantitation of serum apo(a) was by design independent of its size polymorphism, was linear from 3.8 to 456 nmol/L, and had a lower limit of quantitation for apo(a) of 3.8 nmol/L using peptide LFLEPTQADIALLK. Interpeptide agreement showed Pearson Rs of 0.987 and 0.984 for peptides GISSTVTGR and TPENYPNAGLTR, and method comparison indicated good correspondence (slopes 0.977, 1.033, and 1.085 for LFLEPTQADIALLK, GISSTVTGR, and TPENYPNAGLTR). Average within-laboratory imprecision of the cRMP was 8.9%, 11.9%, and 12.8% for the 3 peptides. CONCLUSIONS A robust, antibody-independent, MS-based cRMP was developed as higher order RMP and an essential part of the apo(a) traceability chain and future RMS. The cRMP fulfils predefined analytical performance specifications, making it a promising RMP candidate in an SI-traceable MS-based RMS for apo(a).
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Affiliation(s)
- L Renee Ruhaak
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Fred P H T M Romijn
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Ilijana Begcevic Brkovic
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Leipzig, Germany
| | - Zsusanna Kuklenyik
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Julia Dittrich
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Leipzig, Germany
| | - Uta Ceglarek
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, Leipzig, Germany
- Division Clinical Mass Spectrometry of the German Society of Clinical Chemistry and Laboratory Medicine (DGKL), Berlin, Germany
| | - Andrew N Hoofnagle
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Harald Althaus
- Siemens Healthcare Diagnostics Products GmbH, Marburg, Germany
| | - Eduardo Angles-Cano
- French Institute of Health and Medical Research (Inserm), Université Paris Descartes, Paris, France
| | - Stefan Coassin
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Liesbet Deprez
- European Commission, Joint Research Centre, Geel, Belgium
| | | | - Gerhard M Kostner
- Division of Molecular Biology and Biochemistry, Gottfried Schatz Research Center (for Cell Signaling, Metabolism and Aging), Medical University of Graz, Graz, Austria
| | - Florian Kronenberg
- Department of Genetics and Pharmacology, Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Alicia Lyle
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Hubert W Vesper
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Christa M Cobbaert
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, The Netherlands
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13
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Impact of VALID Act implementation on mass spectrometry-based clinical proteomic laboratory developed tests. J Mass Spectrom Adv Clin Lab 2023; 28:30-34. [PMID: 36865788 PMCID: PMC9971545 DOI: 10.1016/j.jmsacl.2023.02.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 02/15/2023] Open
Abstract
Mass spectrometry (MS)-based clinical proteomic Laboratory Developed Tests (LDTs) for the measurement of protein biomarkers related to endocrinology, cardiovascular disease, cancer, and Alzheimer's disease are gaining traction in clinical laboratories due to their value in supporting diagnostic and treatment decisions for patients. Under the current regulatory landscape, MS-based clinical proteomic LDTs are regulated by Clinical Laboratory Improvement Amendments (CLIA) under the auspices of the Centers for Medicaid and Medicare Services (CMS). However, should the Verifying Accurate Leading-Edge In Vitro Clinical Test Development (VALID) Act pass, it will grant the FDA greater authority to oversee diagnostic tests, including LDTs. This could impede clinical laboratories' ability to develop new MS-based proteomic LDTs to support existing and emerging patient care needs. Therefore, this review discusses the currently available MS-based proteomic LDTs and their current regulatory landscape in the context of the potential impacts imposed by the passage of the VALID Act.
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14
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Kruijt M, Treep MM, Cobbaert CM, Ruhaak LR. Antithrombin diagnostics by mass spectrometry: Development and analytical validation of a next-generation test. Res Pract Thromb Haemost 2023; 7:100079. [PMID: 36949768 PMCID: PMC10025100 DOI: 10.1016/j.rpth.2023.100079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 01/06/2023] [Accepted: 01/25/2023] [Indexed: 02/11/2023] Open
Abstract
Background Antithrombin deficiency is a rare but severe disorder leading to high risk of thrombosis. The current clinical care pathway relies on activity tests, which only provide overall functional information on the in vitro activity of antithrombin. However, antithrombin exists in many different forms, also known as proteoforms, with varying clinical phenotypes. Precision diagnostics, facilitated by mass spectrometry, provides a strategy to improve patient diagnostics by molecular characterization. Objectives To develop and analytically validate a mass spectrometry-based test for molecular characterization of antithrombin. Methods The test was analytically validated based on predefined analytical performance specifications. The validation covered imprecision, carryover, linearity, stability, analytical specificity, a provisional reference interval, and an explorative method comparison. Results The test passed the predefined analytical performance specifications with a mean within-laboratory imprecision of 5.9%, linearity between 0.08 and 2.58 μmol/L, and a provisional reference interval of 1.07 to 1.49 μmol/L. When measuring samples with a suspected quantitative deficiency, the test showed a good correlation with a commercial activity test (Pearson r = 0.88). Conclusion The test passed the validation, and we now envision the use of the test for exploration of the clinical relevance of specific antithrombin proteoforms. Puzzling cases of antithrombin deficiency, for instance, due to ambiguous activity results or an atypical clinical presentation, can be investigated by the LC-MRM mass spectrometry test serving as an add-on to the activity test and providing a molecular diagnosis. Clinical studies are planned to investigate the potential of the test to improve antithrombin diagnostics. Furthermore, the molecular information gained using the test may aid in establishing better risk stratification and a basis for personalized medicine.
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Affiliation(s)
- Mirjam Kruijt
- Correspondence Mirjam Kruijt, Leiden University Medical Center, Department of Clinical Chemistry and Laboratory Medicine, Albinusdreef 2, 2333 ZA, Leiden, the Netherlands.
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15
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Smit NPM, Romijn FPHTM, van Ham VJJ, Reijnders E, Cobbaert CM, Ruhaak LR. Quantitative protein mass-spectrometry requires a standardized pre-analytical phase. Clin Chem Lab Med 2023; 61:55-66. [PMID: 36069790 DOI: 10.1515/cclm-2022-0735] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 08/21/2022] [Indexed: 12/15/2022]
Abstract
OBJECTIVES Quantitative protein mass-spectrometry (QPMS) in blood depends on tryptic digestion of proteins and subsequent measurement of representing peptides. Whether serum and plasma can be used interchangeably and whether in-vitro anticoagulants affect the recovery is unknown. In our laboratory serum samples are the preferred matrix for QPMS measurement of multiple apolipoproteins. In this study, we investigated the effect of different matrices on apolipoprotein quantification by mass spectrometry. METHODS Blood samples were collected from 44 healthy donors in Beckton Dickinson blood tubes simultaneously for serum (with/without gel) and plasma (heparin, citrate or EDTA). Nine apolipoproteins were quantified according to standard operating procedure using value-assigned native serum calibrators for quantitation. Tryptic digestion kinetics were investigated in the different matrices by following formation of peptides for each apolipoprotein in time, up to 22 h. RESULTS In citrate plasma recovery of apolipoproteins showed an overall reduction with a bias of -14.6%. For heparin plasma only -0.3% bias was found compared to serum, whereas for EDTA-plasma reduction was more pronounced (-5.3% bias) and variable with >14% reduction for peptides of apoA-I, A-II and C-III. Digestion kinetics revealed that especially slow forming peptides showed reduced formation in EDTA-plasma. CONCLUSIONS Plasma anticoagulants affect QPMS test results. Heparin plasma showed comparable results to serum. Reduced concentrations in citrate plasma can be explained by dilution, whereas reduced recovery in EDTA-plasma is dependent on altered proteolytic digestion efficiency. The results highlight the importance of a standardized pre-analytical phase for accurate QPMS applications in clinical chemistry.
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Affiliation(s)
- Nico P M Smit
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Fred P H T M Romijn
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Esther Reijnders
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Christa M Cobbaert
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - L Renee Ruhaak
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Leiden, The Netherlands
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16
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Punetha A, Kotiya D. Advancements in Oncoproteomics Technologies: Treading toward Translation into Clinical Practice. Proteomes 2023; 11:2. [PMID: 36648960 PMCID: PMC9844371 DOI: 10.3390/proteomes11010002] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 01/12/2023] Open
Abstract
Proteomics continues to forge significant strides in the discovery of essential biological processes, uncovering valuable information on the identity, global protein abundance, protein modifications, proteoform levels, and signal transduction pathways. Cancer is a complicated and heterogeneous disease, and the onset and progression involve multiple dysregulated proteoforms and their downstream signaling pathways. These are modulated by various factors such as molecular, genetic, tissue, cellular, ethnic/racial, socioeconomic status, environmental, and demographic differences that vary with time. The knowledge of cancer has improved the treatment and clinical management; however, the survival rates have not increased significantly, and cancer remains a major cause of mortality. Oncoproteomics studies help to develop and validate proteomics technologies for routine application in clinical laboratories for (1) diagnostic and prognostic categorization of cancer, (2) real-time monitoring of treatment, (3) assessing drug efficacy and toxicity, (4) therapeutic modulations based on the changes with prognosis and drug resistance, and (5) personalized medication. Investigation of tumor-specific proteomic profiles in conjunction with healthy controls provides crucial information in mechanistic studies on tumorigenesis, metastasis, and drug resistance. This review provides an overview of proteomics technologies that assist the discovery of novel drug targets, biomarkers for early detection, surveillance, prognosis, drug monitoring, and tailoring therapy to the cancer patient. The information gained from such technologies has drastically improved cancer research. We further provide exemplars from recent oncoproteomics applications in the discovery of biomarkers in various cancers, drug discovery, and clinical treatment. Overall, the future of oncoproteomics holds enormous potential for translating technologies from the bench to the bedside.
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Affiliation(s)
- Ankita Punetha
- Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers New Jersey Medical School, Rutgers University, 225 Warren St., Newark, NJ 07103, USA
| | - Deepak Kotiya
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, 900 South Limestone St., Lexington, KY 40536, USA
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17
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Diederiks N, Ravensbergen CJ, Treep M, van Wezel M, Kuruc M, Renee Ruhaak L, Tollenaar RA, Cobbaert CM, van der Burgt YE, Mesker WE. Development of Tier 2 LC-MRM-MS protein quantification methods for liquid biopsies. J Mass Spectrom Adv Clin Lab 2022; 27:49-55. [PMID: 36619217 PMCID: PMC9811211 DOI: 10.1016/j.jmsacl.2022.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 12/13/2022] [Accepted: 12/15/2022] [Indexed: 12/24/2022] Open
Abstract
In the pursuit of personalized diagnostics and tailored treatments, quantitative protein tests contribute to a more precise definition of health and disease. The development of new quantitative protein tests should be driven by an unmet clinical need and performed in a collaborative effort that involves all stakeholders. With regard to the analytical part, mass spectrometry (MS)-based platforms are an excellent tool for quantification of specific proteins in body fluids, for example focused on cancer. The obtained readouts have great potential in determining tumor aggressiveness to facilitate treatment decisions, and can furthermore be used to monitor patient response. Internationally standardized TNM classifications of malignant tumors are beneficial for diagnosis, however treatment outcome and survival of cancer patients is poorly predicted. To this end, the importance of the tumor microenvironment has endorsed the introduction of the tumor-stroma ratio as a prognostic parameter in solid primary tumor types. Currently, the stromal content of tumor tissues is determined via routine diagnostic pathology slides. With the development of liquid chromatography (LC)-MS methods we aim at quantification of tumor-stroma specific proteins in body fluids. In this mini-review the analytical aspect of this developmental trajectory is further detailed.
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Affiliation(s)
- Nina Diederiks
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Cor J. Ravensbergen
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Maxim Treep
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Madelein van Wezel
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Matt Kuruc
- Biotech Support Group LLC, 1 Deer Park Drive, Suite M, Monmouth Junction, NJ 08852, USA
| | - L. Renee Ruhaak
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Rob A.E.M. Tollenaar
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Christa M. Cobbaert
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
| | - Yuri E.M. van der Burgt
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands,Corresponding author.
| | - Wilma E. Mesker
- Department of Surgery, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, the Netherlands
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18
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Langlois MR. A new milestone on the road to global standardization of apolipoprotein measurements. Clin Chem Lab Med 2022; 61:1-3. [DOI: 10.1515/cclm-2022-1117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Affiliation(s)
- Michel R. Langlois
- Department of Laboratory Medicine , AZ St.-Jan Hospital , Bruges , Belgium
- Chair of Science Committee, European Federation of Clinical Chemistry and Laboratory Medicine , Brussels , Belgium
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19
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Doykov I, Baldwin T, Spiewak J, Gilmour KC, Gibbons JM, Pade C, Reynolds CJ, Áine McKnight, Noursadeghi M, Maini MK, Manisty C, Treibel T, Captur G, Fontana M, Boyton RJ, Altmann DM, Brooks T, Semper A, Moon JC, Kevin Mills, Heywood WE, Abiodun A, Alfarih M, Alldis Z, Altmann DM, Amin OE, Andiapen M, Artico J, Augusto JB, Baca GL, Bailey SN, Bhuva AN, Boulter A, Bowles R, Boyton RJ, Bracken OV, O’Brien B, Brooks T, Bullock N, Butler DK, Captur G, Carr O, Champion N, Chan C, Chandran A, Coleman T, Couto de Sousa J, Couto-Parada X, Cross E, Cutino-Moguel T, D’Arcangelo S, Davies RH, Douglas B, Di Genova C, Dieobi-Anene K, Diniz MO, Ellis A, Feehan K, Finlay M, Fontana M, Forooghi N, Francis S, Gibbons JM, Gillespie D, Gilroy D, Hamblin M, Harker G, Hemingway G, Hewson J, Heywood W, Hickling LM, Hicks B, Hingorani AD, Howes L, Itua I, Jardim V, Lee WYJ, Jensen M, Jones J, Jones M, Joy G, Kapil V, Kelly C, Kurdi H, Lambourne J, Lin KM, Liu S, Lloyd A, Louth S, Maini MK, Mandadapu V, Manisty C, McKnight Á, Menacho K, Mfuko C, Mills K, Millward S, Mitchelmore O, Moon C, Moon J, Sandoval DM, Murray SM, Noursadeghi M, Otter A, Pade C, Palma S, Parker R, Patel K, Pawarova M, Petersen SE, Piniera B, Pieper FP, Rannigan L, Rapala A, Reynolds CJ, Richards A, Robathan M, Rosenheim J, Rowe C, Royds M, West JS, Sambile G, Schmidt NM, Selman H, Semper A, Seraphim A, Simion M, Smit A, Sugimoto M, Swadling L, Taylor S, Temperton N, Thomas S, Thornton GD, Treibel TA, Tucker A, Varghese A, Veerapen J, Vijayakumar M, Warner T, Welch S, White H, Wodehouse T, Wynne L, Zahedi D. Quantitative, multiplexed, targeted proteomics for ascertaining variant specific SARS-CoV-2 antibody response. CELL REPORTS METHODS 2022; 2:100279. [PMID: 35975199 PMCID: PMC9372021 DOI: 10.1016/j.crmeth.2022.100279] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 06/24/2022] [Accepted: 08/05/2022] [Indexed: 02/09/2023]
Abstract
Determining the protection an individual has to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants of concern (VoCs) is crucial for future immune surveillance, vaccine development, and understanding of the changing immune response. We devised an informative assay to current ELISA-based serology using multiplexed, baited, targeted proteomics for direct detection of multiple proteins in the SARS-CoV-2 anti-spike antibody immunocomplex. Serum from individuals collected after infection or first- and second-dose vaccination demonstrates this approach and shows concordance with existing serology and neutralization. Our assays show altered responses of both immunoglobulins and complement to the Alpha (B.1.1.7), Beta (B.1.351), and Delta (B.1.617.1) VoCs and a reduced response to Omicron (B1.1.1529). We were able to identify individuals who had prior infection, and observed that C1q is closely associated with IgG1 (r > 0.82) and may better reflect neutralization to VoCs. Analyzing additional immunoproteins beyond immunoglobulin (Ig) G, provides important information about our understanding of the response to infection and vaccination.
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Affiliation(s)
- Ivan Doykov
- Translational Mass Spectrometry Research Group, Genetics & Genomic Medicine Department, UCL Institute of Child Health, London, UK.,Great Ormond Street Biomedical Research Centre, UCL Institute of Child Health London
| | - Tomas Baldwin
- Translational Mass Spectrometry Research Group, Genetics & Genomic Medicine Department, UCL Institute of Child Health, London, UK
| | - Justyna Spiewak
- Translational Mass Spectrometry Research Group, Genetics & Genomic Medicine Department, UCL Institute of Child Health, London, UK
| | - Kimberly C Gilmour
- Great Ormond Street Children's Hospital NHS Foundation Trust, Great Ormond Street, London WC1N 3JH, UK
| | - Joseph M Gibbons
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Corinna Pade
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | | | - Áine McKnight
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Mahdad Noursadeghi
- Division of Infection and Immunity, University College London, London, UK
| | - Mala K Maini
- Division of Infection and Immunity, University College London, London, UK
| | - Charlotte Manisty
- St. Bartholomew's Hospital, Barts Health NHS Trust, London, UK.,Institute of Cardiovascular Science, University College London, London, UK
| | - Thomas Treibel
- St. Bartholomew's Hospital, Barts Health NHS Trust, London, UK.,Institute of Cardiovascular Science, University College London, London, UK
| | - Gabriella Captur
- Institute of Cardiovascular Science, University College London, London, UK.,Royal Free London NHS Foundation Trust, Pond Street, London NW3 2QG, UK
| | - Marianna Fontana
- Institute of Cardiovascular Science, University College London, London, UK.,Royal Free London NHS Foundation Trust, Pond Street, London NW3 2QG, UK
| | - Rosemary J Boyton
- Department of Infectious Disease, Imperial College London, London, UK.,Lung Division, Royal Brompton and Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Daniel M Altmann
- Department of Immunology and Inflammation, Imperial College London, London, UK
| | - Tim Brooks
- UK Health Security Agency, Porton Down, UK
| | | | | | - James C Moon
- St. Bartholomew's Hospital, Barts Health NHS Trust, London, UK.,Institute of Cardiovascular Science, University College London, London, UK
| | - Kevin Mills
- Translational Mass Spectrometry Research Group, Genetics & Genomic Medicine Department, UCL Institute of Child Health, London, UK.,Great Ormond Street Biomedical Research Centre, UCL Institute of Child Health London
| | - Wendy E Heywood
- Translational Mass Spectrometry Research Group, Genetics & Genomic Medicine Department, UCL Institute of Child Health, London, UK.,Great Ormond Street Biomedical Research Centre, UCL Institute of Child Health London
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Simultaneous monitoring of eight human respiratory viruses including SARS-CoV-2 using liquid chromatography-tandem mass spectrometry. Sci Rep 2022; 12:13392. [PMID: 35927299 PMCID: PMC9352774 DOI: 10.1038/s41598-022-16250-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 07/07/2022] [Indexed: 11/17/2022] Open
Abstract
Diagnosis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection has primarily been achieved using reverse transcriptase polymerase chain reaction (RT-PCR) for acute infection, and serology for prior infection. Assay with RT-PCR provides data on presence or absence of viral RNA, with no information on virus replication competence, infectivity, or virus characterisation. Liquid chromatography-tandem mass spectrometry (LC–MS/MS) is typically not used in clinical virology, despite its potential to provide supplemental data about the presence of viral proteins and thus the potential for replication-competent, transmissible virus. Using the SARS-CoV-2 as a model virus, we developed a fast ‘bottom-up’ proteomics workflow for discovery of target virus peptides using ‘serum-free’ culture conditions, providing high coverage of viral proteins without the need for protein or peptide fractionation techniques. This workflow was then applied to Coronaviruses OC43 and 229E, Influenza A/H1N1 and H3N2, Influenza B, and Respiratory Syncytial Viruses A and B. Finally, we created an LC–MS/MS method for targeted detection of the eight-virus panel in clinical specimens, successfully detecting peptides from the SARS-CoV-2 ORF9B and nucleoprotein in RT-PCR positive samples. The method provides specific detection of respiratory viruses from clinical samples containing moderate viral loads and is an important further step to the use of LC–MS/MS in diagnosis of viral infection.
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van der Hoeven AE, van Waaij K, Bijlenga D, Roelandse FWC, Overeem S, Bakker JA, Fronczek R, Lammers GJ. Hypocretin-1 measurements in cerebrospinal fluid using radioimmunoassay: within and between assay reliability and limit of quantification. Sleep 2022; 45:6581446. [PMID: 35512685 PMCID: PMC9272241 DOI: 10.1093/sleep/zsac103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 03/30/2022] [Indexed: 11/23/2022] Open
Abstract
Study Objectives The most sensitive and specific investigative method for the diagnosis of narcolepsy type 1 (NT1) is the determination of hypocretin-1 (orexin-A) deficiency (≤110 pg/mL) in cerebrospinal fluid using a radioimmunoassay (RIA). We aimed to assess the reliability of the Phoenix Pharmaceuticals hypocretin-1 RIA, by determining the lower limit of quantification (LLOQ), the variability around the cutoff of 110 pg/mL, and the inter- and intra-assay variability. Methods Raw data of 80 consecutive hypocretin-1 RIAs were used to estimate the intra- and inter-assay coefficient of variation (CV). The LLOQ was established and defined as the lowest converted concentration with a CV <25%; the conversion is performed using a harmonization sample which is internationally used to minimize variation between RIAs. Results The mean intra-assay CV was 4.7%, while the unconverted inter-assay CV was 28.3% (18.5% excluding 2 outliers) and 7.5% when converted to international values. The LLOQ was determined as 27.9 pg/mL. The intra-assay CV of RIAs with lower specific radioactive activity showed a median of 5.6% (n = 41, range 1.6%–17.0%), which was significantly higher than in RIAs with higher specific activity (n = 36; median 3.2%, range 0.4%–11.6%, p = .013). The CV around the 110 pg/mL cutoff was <7%. Conclusions Hypocretin-1 RIAs should always be harmonized using standard reference material. The specific activity of an RIA has a significant impact on its reliability, because of the decay of 125I radioactivity. Values around the hypocretin-1 cut-off can reliably be measured. Hypocretin-1 concentrations below 28 pg/mL should be reported as “undetectable” when measured with the Phoenix Pharmaceuticals RIA. Clinical Trial Information This study is not registered in a clinical trial register, as it has a retrospective database design
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Affiliation(s)
- Adrienne Elisabeth van der Hoeven
- Department of Neurology, Leiden University Medical Center , Leiden , the Netherlands
- Sleep-Wake Center, Stichting Epilepsie Instellingen Nederland (SEIN) , Heemstede , the Netherlands
| | - Kevin van Waaij
- Department of Neurology, Leiden University Medical Center , Leiden , the Netherlands
| | - Denise Bijlenga
- Department of Neurology, Leiden University Medical Center , Leiden , the Netherlands
- Sleep-Wake Center, Stichting Epilepsie Instellingen Nederland (SEIN) , Heemstede , the Netherlands
| | | | | | - Jaap Adriaan Bakker
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center , Leiden , the Netherlands
| | - Rolf Fronczek
- Department of Neurology, Leiden University Medical Center , Leiden , the Netherlands
- Sleep-Wake Center, Stichting Epilepsie Instellingen Nederland (SEIN) , Heemstede , the Netherlands
| | - Gert Jan Lammers
- Department of Neurology, Leiden University Medical Center , Leiden , the Netherlands
- Sleep-Wake Center, Stichting Epilepsie Instellingen Nederland (SEIN) , Heemstede , the Netherlands
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23
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Protein discrimination using erythrosin B-based GUMBOS in combination with UV-Vis spectroscopy and chemometrics. Talanta 2021; 240:123164. [PMID: 34972064 DOI: 10.1016/j.talanta.2021.123164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 12/10/2021] [Accepted: 12/20/2021] [Indexed: 12/12/2022]
Abstract
GUMBOS (Group of Uniform Materials Based on Organic Salts) have recently emerged as interesting materials for protein analysis due to their unique features and high tunability. In this regard, four novel erythrosin B (EB)-based GUMBOS were synthesized and their potential to discriminate among proteins with distinct properties (e.g., size, charge, and hydrophobicity) was assessed. These solid-phase materials were prepared using a single-step metathesis reaction between EB and various phosphonium and ammonium cations, namely tetrabutylphosphonium (P4444+), tributylhexadecylphosphonium (P44416+), tetrabutylammonium (N4444+), and benzyldimethylhexadecylammonium (BDHA+). Subsequently, the effect of pH (3.0, 4.5, and 6.0) and reaction time (5, 10, and 15 min) on the discriminatory power of synthesized GUMBOS was evaluated. Absorption spectra resulting from the interaction between EB-based GUMBOS and proteins were analyzed using partial least squares discriminant analysis (PLSDA). Unlike time, the pH value was determined to have influence over GUMBOS discrimination potential. Correct protein assignments varied from 86.5% to 100.0%, and the best discriminatory results were observed for [P4444]2[EB] and [N4444]2[EB] at pH 6.0. Additionally, these two GUMBOS allowed discrimination of protein mixtures containing different ratios of albumin and myoglobin, which appeared as individualized clusters in the PLSDA scores plots. Overall, this study showcases EB-based GUMBOS as simple synthetic targets to provide a label-free, cost-effective, rapid, and successful approach for discrimination of single proteins and their mixtures.
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van Duijl TT, Ruhaak LR, Smit NPM, Pieterse MM, Romijn FPHTM, Dolezal N, Drijfhout JW, de Fijter JW, Cobbaert CM. Development and Provisional Validation of a Multiplex LC-MRM-MS Test for Timely Kidney Injury Detection in Urine. J Proteome Res 2021; 20:5304-5314. [PMID: 34735145 PMCID: PMC8650098 DOI: 10.1021/acs.jproteome.1c00532] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
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Kidney injury is
a complication frequently encountered in hospitalized
patients. Early detection of kidney injury prior to loss of renal
function is an unmet clinical need that should be targeted by a protein-based
biomarker panel. In this study, we aim to quantitate urinary kidney
injury biomarkers at the picomolar to nanomolar level by liquid chromatography
coupled to tandem mass spectrometry in multiple reaction monitoring
mode (LC-MRM-MS). Proteins were immunocaptured from urinary samples,
denatured, reduced, alkylated, and digested into peptides before LC-MRM-MS
analysis. Stable-isotope-labeled peptides functioned as internal standards,
and biomarker concentrations were attained by an external calibration
strategy. The method was evaluated for selectivity, carryover, matrix
effects, linearity, and imprecision. The LC-MRM-MS method enabled
the quantitation of KIM-1, NGAL, TIMP2, IGFBP7, CXCL9, nephrin, and
SLC22A2 and the detection of TGF-β1, cubilin, and uromodulin.
Two to three peptides were included per protein, and three transitions
were monitored per peptide for analytical selectivity. The analytical
carryover was <1%, and minimal urine matrix effects were observed
by combining immunocapture and targeted LC-MRM-MS analysis. The average
total CV of all quantifier peptides was 26%. The linear measurement
range was determined per measurand and found to be 0.05–30
nmol/L. The targeted MS-based method enables the multiplex quantitation
of low-abundance urinary kidney injury biomarkers for future clinical
evaluation.
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Affiliation(s)
- Tirsa T van Duijl
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - L Renee Ruhaak
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Nico P M Smit
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Mervin M Pieterse
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Fred P H T M Romijn
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Natasja Dolezal
- Department of Immunology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Jan Wouter Drijfhout
- Department of Immunology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
| | - Johan W de Fijter
- Department of Nephrology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Christa M Cobbaert
- Department of Clinical Chemistry and Laboratory Medicine, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands
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Coremans C, Delporte C, Cotton F, Van De Borne P, Boudjeltia KZ, Van Antwerpen P. Mass Spectrometry for the Monitoring of Lipoprotein Oxidations by Myeloperoxidase in Cardiovascular Diseases. Molecules 2021; 26:molecules26175264. [PMID: 34500696 PMCID: PMC8434463 DOI: 10.3390/molecules26175264] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 08/05/2021] [Accepted: 08/10/2021] [Indexed: 01/14/2023] Open
Abstract
Oxidative modifications of HDLs and LDLs by myeloperoxidase (MPO) are regularly mentioned in the context of atherosclerosis. The enzyme adsorbs on protein moieties and locally produces oxidizing agents to modify specific residues on apolipoproteins A-1 and B-100. Oxidation of lipoproteins by MPO (Mox) leads to dysfunctional Mox-HDLs associated with cholesterol-efflux deficiency, and Mox-LDLs that are no more recognized by the LDL receptor and become proinflammatory. Several modification sites on apoA-1 and B-100 that are specific to MPO activity are described in the literature, which seem relevant in patients with cardiovascular risk. The most appropriate analytical method to assess these modifications is based on liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). It enables the oxidized forms of apoA-1and apoB-100 to be quantified in serum, in parallel to a quantification of these apolipoproteins. Current standard methods to quantify apolipoproteins are based on immunoassays that are well standardized with good analytical performances despite the cost and the heterogeneity of the commercialized kits. Mass spectrometry can provide simultaneous measurements of quantity and quality of apolipoproteins, while being antibody-independent and directly detecting peptides carrying modifications for Mox-HDLs and Mox-LDLs. Therefore, mass spectrometry is a potential and reliable alternative for apolipoprotein quantitation.
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Affiliation(s)
- Catherine Coremans
- RD3-Pharmacognosy, Bioanalysis and Drug Discovery, Faculty of Pharmacy, Université Libre de Bruxelles, 1050 Brussels, Belgium; (C.D.); (P.V.A.)
- Correspondence: ; Tel.: +32-2-650-5331
| | - Cédric Delporte
- RD3-Pharmacognosy, Bioanalysis and Drug Discovery, Faculty of Pharmacy, Université Libre de Bruxelles, 1050 Brussels, Belgium; (C.D.); (P.V.A.)
| | - Frédéric Cotton
- Laboratoire Hospitalier Universitaire de Bruxelles (LHUB-ULB), Department of Clinical Chemistry, Université Libre de Bruxelles (ULB), 1000 Brussels, Belgium;
| | - Phillipe Van De Borne
- Department of Cardiology Erasme Hospital, Université Libre de Bruxelles, 1070 Brussels, Belgium;
| | - Karim Zouaoui Boudjeltia
- Laboratory of Experimental Medicine (ULB 222 Unit), CHU-Charleroi, ISPPC Hôpital Vésale, Université Libre de Bruxelles, 6110 Montigny-Le-Tilleul, Belgium;
| | - Pierre Van Antwerpen
- RD3-Pharmacognosy, Bioanalysis and Drug Discovery, Faculty of Pharmacy, Université Libre de Bruxelles, 1050 Brussels, Belgium; (C.D.); (P.V.A.)
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Lill JR, Mathews WR, Rose CM, Schirle M. Proteomics in the pharmaceutical and biotechnology industry: a look to the next decade. Expert Rev Proteomics 2021; 18:503-526. [PMID: 34320887 DOI: 10.1080/14789450.2021.1962300] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
INTRODUCTION Pioneering technologies such as proteomics have helped fuel the biotechnology and pharmaceutical industry with the discovery of novel targets and an intricate understanding of the activity of therapeutics and their various activities in vitro and in vivo. The field of proteomics is undergoing an inflection point, where new sensitive technologies are allowing intricate biological pathways to be better understood, and novel biochemical tools are pivoting us into a new era of chemical proteomics and biomarker discovery. In this review, we describe these areas of innovation, and discuss where the fields are headed in terms of fueling biotechnological and pharmacological research and discuss current gaps in the proteomic technology landscape. AREAS COVERED Single cell sequencing and single molecule sequencing. Chemoproteomics. Biological matrices and clinical samples including biomarkers. Computational tools including instrument control software, data analysis. EXPERT OPINION Proteomics will likely remain a key technology in the coming decade, but will have to evolve with respect to type and granularity of data, cost and throughput of data generation as well as integration with other technologies to fulfill its promise in drug discovery.
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Affiliation(s)
- Jennie R Lill
- Department of Microchemistry, Lipidomics and Next Generation Sequencing, Genentech Inc. DNA Way, South San Francisco, CA, USA
| | - William R Mathews
- OMNI Department, Genentech Inc. 1 DNA Way, South San Francisco, CA, USA
| | - Christopher M Rose
- Department of Microchemistry, Lipidomics and Next Generation Sequencing, Genentech Inc. DNA Way, South San Francisco, CA, USA
| | - Markus Schirle
- Chemical Biology and Therapeutics Department, Novartis Institutes for Biomedical Research, Cambridge, MA, USA
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