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Kraemer S, Schneider DJ, Paterson C, Perry D, Westacott MJ, Hagar Y, Katilius E, Lynch S, Russell TM, Johnson T, Astling DP, DeLisle RK, Cleveland J, Gold L, Drolet DW, Janjic N. Crossing the Halfway Point: Aptamer-Based, Highly Multiplexed Assay for the Assessment of the Proteome. J Proteome Res 2024. [PMID: 39038188 DOI: 10.1021/acs.jproteome.4c00411] [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: 07/24/2024]
Abstract
Measuring responses in the proteome to various perturbations improves our understanding of biological systems. The value of information gained from such studies is directly proportional to the number of proteins measured. To overcome technical challenges associated with highly multiplexed measurements, we developed an affinity reagent-based method that uses aptamers with protein-like side chains along with an assay that takes advantage of their unique properties. As hybrid affinity reagents, modified aptamers are fully comparable to antibodies in terms of binding characteristics toward proteins, including epitope size, shape complementarity, affinity and specificity. Our assay combines these intrinsic binding properties with serial kinetic proofreading steps to allow highly effective partitioning of stable specific complexes from unstable nonspecific complexes. The use of these orthogonal methods to enhance specificity effectively overcomes the severe limitation to multiplexing inherent to the use of sandwich-based methods. Our assay currently measures half of the unique proteins encoded in the human genome with femtomolar sensitivity, broad dynamic range and exceptionally high reproducibility. Using machine learning to identify patterns of change, we have developed tests based on measurement of multiple proteins predictive of current health states and future disease risk to guide a holistic approach to precision medicine.
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Affiliation(s)
- Stephan Kraemer
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - Daniel J Schneider
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - Clare Paterson
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - Darryl Perry
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - Matthew J Westacott
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - Yolanda Hagar
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - Evaldas Katilius
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - Sean Lynch
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - Theresa M Russell
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - Ted Johnson
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - David P Astling
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - Robert Kirk DeLisle
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - Jason Cleveland
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - Larry Gold
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - Daniel W Drolet
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
| | - Nebojsa Janjic
- SomaLogic, 2495 Wilderness Place, Boulder, Colorado 80301, United States of America
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Hannemann A, Ameling S, Lehnert K, Dörr M, Felix SB, Nauck M, Al-Noubi MN, Schmidt F, Haas J, Meder B, Völker U, Friedrich N, Hammer E. Integrative Analyses of Circulating Proteins and Metabolites Reveal Sex Differences in the Associations with Cardiac Function among DCM Patients. Int J Mol Sci 2024; 25:6827. [PMID: 38999939 PMCID: PMC11241450 DOI: 10.3390/ijms25136827] [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: 05/07/2024] [Revised: 06/11/2024] [Accepted: 06/18/2024] [Indexed: 07/14/2024] Open
Abstract
Dilated cardiomyopathy (DCM) is characterized by reduced left ventricular ejection fraction (LVEF) and left or biventricular dilatation. We evaluated sex-specific associations of circulating proteins and metabolites with structural and functional heart parameters in DCM. Plasma samples (297 men, 71 women) were analyzed for proteins using Olink assays (targeted analysis) or LC-MS/MS (untargeted analysis), and for metabolites using LC MS/MS (Biocrates AbsoluteIDQ p180 Kit). Associations of proteins (n = 571) or metabolites (n = 163) with LVEF, measured left ventricular end diastolic diameter (LVEDDmeasured), and the dilation percentage of LVEDD from the norm (LVEDDacc. to HENRY) were examined in combined and sex-specific regression models. To disclose protein-metabolite relations, correlation analyses were performed. Associations between proteins, metabolites and LVEF were restricted to men, while associations with LVEDD were absent in both sexes. Significant metabolites were validated in a second independent DCM cohort (93 men). Integrative analyses demonstrated close relations between altered proteins and metabolites involved in lipid metabolism, inflammation, and endothelial dysfunction with declining LVEF, with kynurenine as the most prominent finding. In DCM, the loss of cardiac function was reflected by circulating proteins and metabolites with sex-specific differences. Our integrative approach demonstrated that concurrently assessing specific proteins and metabolites might help us to gain insights into the alterations associated with DCM.
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Affiliation(s)
- Anke Hannemann
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Strasse, D-17475 Greifswald, Germany; (M.N.); (N.F.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, D-17475 Greifswald, Germany; (S.A.); (K.L.); (M.D.); (S.B.F.); (U.V.); (E.H.)
| | - Sabine Ameling
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, D-17475 Greifswald, Germany; (S.A.); (K.L.); (M.D.); (S.B.F.); (U.V.); (E.H.)
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Felix-Hausdorff-Strasse 8, D-17475 Greifswald, Germany
| | - Kristin Lehnert
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, D-17475 Greifswald, Germany; (S.A.); (K.L.); (M.D.); (S.B.F.); (U.V.); (E.H.)
- Department of Internal Medicine B, University Medicine Greifswald, D-17475 Greifswald, Germany
| | - Marcus Dörr
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, D-17475 Greifswald, Germany; (S.A.); (K.L.); (M.D.); (S.B.F.); (U.V.); (E.H.)
- Department of Internal Medicine B, University Medicine Greifswald, D-17475 Greifswald, Germany
| | - Stephan B. Felix
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, D-17475 Greifswald, Germany; (S.A.); (K.L.); (M.D.); (S.B.F.); (U.V.); (E.H.)
- Department of Internal Medicine B, University Medicine Greifswald, D-17475 Greifswald, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Strasse, D-17475 Greifswald, Germany; (M.N.); (N.F.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, D-17475 Greifswald, Germany; (S.A.); (K.L.); (M.D.); (S.B.F.); (U.V.); (E.H.)
| | - Muna N. Al-Noubi
- Proteomics Core, Weill Cornell Medicine-Qatar, Doha 24144, Qatar; (M.N.A.-N.); (F.S.)
| | - Frank Schmidt
- Proteomics Core, Weill Cornell Medicine-Qatar, Doha 24144, Qatar; (M.N.A.-N.); (F.S.)
| | - Jan Haas
- Institute for Cardiomyopathies Heidelberg (ICH), Heart Centre Heidelberg, University of Heidelberg, D-69121 Heidelberg, Germany; (J.H.); (B.M.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, D-69121 Heidelberg, Germany
- Department of Medicine III, University of Heidelberg, INF 410, D-69120 Heidelberg, Germany
| | - Benjamin Meder
- Institute for Cardiomyopathies Heidelberg (ICH), Heart Centre Heidelberg, University of Heidelberg, D-69121 Heidelberg, Germany; (J.H.); (B.M.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, D-69121 Heidelberg, Germany
- Department of Medicine III, University of Heidelberg, INF 410, D-69120 Heidelberg, Germany
| | - Uwe Völker
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, D-17475 Greifswald, Germany; (S.A.); (K.L.); (M.D.); (S.B.F.); (U.V.); (E.H.)
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Felix-Hausdorff-Strasse 8, D-17475 Greifswald, Germany
| | - Nele Friedrich
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Strasse, D-17475 Greifswald, Germany; (M.N.); (N.F.)
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, D-17475 Greifswald, Germany; (S.A.); (K.L.); (M.D.); (S.B.F.); (U.V.); (E.H.)
| | - Elke Hammer
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, D-17475 Greifswald, Germany; (S.A.); (K.L.); (M.D.); (S.B.F.); (U.V.); (E.H.)
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Felix-Hausdorff-Strasse 8, D-17475 Greifswald, Germany
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Gutierrez Reyes CD, Alejo-Jacuinde G, Perez Sanchez B, Chavez Reyes J, Onigbinde S, Mogut D, Hernández-Jasso I, Calderón-Vallejo D, Quintanar JL, Mechref Y. Multi Omics Applications in Biological Systems. Curr Issues Mol Biol 2024; 46:5777-5793. [PMID: 38921016 PMCID: PMC11202207 DOI: 10.3390/cimb46060345] [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: 04/19/2024] [Revised: 05/31/2024] [Accepted: 06/05/2024] [Indexed: 06/27/2024] Open
Abstract
Traditional methodologies often fall short in addressing the complexity of biological systems. In this regard, system biology omics have brought invaluable tools for conducting comprehensive analysis. Current sequencing capabilities have revolutionized genetics and genomics studies, as well as the characterization of transcriptional profiling and dynamics of several species and sample types. Biological systems experience complex biochemical processes involving thousands of molecules. These processes occur at different levels that can be studied using mass spectrometry-based (MS-based) analysis, enabling high-throughput proteomics, glycoproteomics, glycomics, metabolomics, and lipidomics analysis. Here, we present the most up-to-date techniques utilized in the completion of omics analysis. Additionally, we include some interesting examples of the applicability of multi omics to a variety of biological systems.
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Affiliation(s)
| | - Gerardo Alejo-Jacuinde
- Department of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance (IGCAST), Texas Tech University, Lubbock, TX 79409, USA; (G.A.-J.); (B.P.S.)
| | - Benjamin Perez Sanchez
- Department of Plant and Soil Science, Institute of Genomics for Crop Abiotic Stress Tolerance (IGCAST), Texas Tech University, Lubbock, TX 79409, USA; (G.A.-J.); (B.P.S.)
| | - Jesus Chavez Reyes
- Center of Basic Sciences, Department of Physiology and Pharmacology, Autonomous University of Aguascalientes, Aguascalientes 20392, Mexico; (J.C.R.); (I.H.-J.); (D.C.-V.); (J.L.Q.)
| | - Sherifdeen Onigbinde
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA;
| | - Damir Mogut
- Department of Food Biochemistry, Faculty of Food Science, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland;
| | - Irma Hernández-Jasso
- Center of Basic Sciences, Department of Physiology and Pharmacology, Autonomous University of Aguascalientes, Aguascalientes 20392, Mexico; (J.C.R.); (I.H.-J.); (D.C.-V.); (J.L.Q.)
| | - Denisse Calderón-Vallejo
- Center of Basic Sciences, Department of Physiology and Pharmacology, Autonomous University of Aguascalientes, Aguascalientes 20392, Mexico; (J.C.R.); (I.H.-J.); (D.C.-V.); (J.L.Q.)
| | - J. Luis Quintanar
- Center of Basic Sciences, Department of Physiology and Pharmacology, Autonomous University of Aguascalientes, Aguascalientes 20392, Mexico; (J.C.R.); (I.H.-J.); (D.C.-V.); (J.L.Q.)
| | - Yehia Mechref
- Department of Chemistry and Biochemistry, Texas Tech University, Lubbock, TX 79409, USA;
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Abiose O, Rutledge J, Moran‐Losada P, Belloy ME, Wilson EN, He Z, Trelle AN, Channappa D, Romero A, Park J, Yutsis MV, Sha SJ, Andreasson KI, Poston KL, Henderson VW, Wagner AD, Wyss‐Coray T, Mormino EC. Post-translational modifications linked to preclinical Alzheimer's disease-related pathological and cognitive changes. Alzheimers Dement 2024; 20:1851-1867. [PMID: 38146099 PMCID: PMC10984434 DOI: 10.1002/alz.13576] [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: 08/01/2023] [Revised: 11/08/2023] [Accepted: 11/13/2023] [Indexed: 12/27/2023]
Abstract
INTRODUCTION In this study, we leverage proteomic techniques to identify communities of proteins underlying Alzheimer's disease (AD) risk among clinically unimpaired (CU) older adults. METHODS We constructed a protein co-expression network using 3869 cerebrospinal fluid (CSF) proteins quantified by SomaLogic, Inc., in a cohort of participants along the AD clinical spectrum. We then replicated this network in an independent cohort of CU older adults and related these modules to clinically-relevant outcomes. RESULTS We discovered modules enriched for phosphorylation and ubiquitination that were associated with abnormal amyloid status, as well as p-tau181 (M4: β = 2.44, p < 0.001, M7: β = 2.57, p < 0.001) and executive function performance (M4: β = -2.00, p = 0.005, M7: β = -2.39, p < 0.001). DISCUSSION In leveraging CSF proteomic data from individuals spanning the clinical spectrum of AD, we highlight the importance of post-translational modifications for early cognitive and pathological changes.
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Affiliation(s)
- Olamide Abiose
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
- Wu Tsai Neurosciences InstituteStanford University School of MedicineStanfordCaliforniaUSA
| | - Jarod Rutledge
- The Phil and Penny Knight Initiative for Brain ResilienceStanford UniversityStanfordCaliforniaUSA
- Department of GeneticsStanford UniversityStanfordCaliforniaUSA
| | - Patricia Moran‐Losada
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
- Wu Tsai Neurosciences InstituteStanford University School of MedicineStanfordCaliforniaUSA
- The Phil and Penny Knight Initiative for Brain ResilienceStanford UniversityStanfordCaliforniaUSA
| | - Michael E. Belloy
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
| | - Edward N. Wilson
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
- Wu Tsai Neurosciences InstituteStanford University School of MedicineStanfordCaliforniaUSA
| | - Zihuai He
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
- Center for Biomedical Informatics ResearchStanford University School of MedicineStanfordCaliforniaUSA
| | - Alexandra N. Trelle
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
| | - Divya Channappa
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
| | - America Romero
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
| | - Jennifer Park
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
| | - Maya V. Yutsis
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
| | - Sharon J. Sha
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
| | - Katrin I. Andreasson
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
- Wu Tsai Neurosciences InstituteStanford University School of MedicineStanfordCaliforniaUSA
- Chan Zuckerberg BiohubSan FranciscoCaliforniaUSA
| | - Kathleen L. Poston
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
- Wu Tsai Neurosciences InstituteStanford University School of MedicineStanfordCaliforniaUSA
- The Phil and Penny Knight Initiative for Brain ResilienceStanford UniversityStanfordCaliforniaUSA
| | - Victor W. Henderson
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
- Department of Epidemiology & Population HealthStanford University School of MedicineStanfordCaliforniaUSA
| | - Anthony D. Wagner
- Wu Tsai Neurosciences InstituteStanford University School of MedicineStanfordCaliforniaUSA
- Department of PsychologyStanford UniversityStanfordCaliforniaUSA
| | - Tony Wyss‐Coray
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
- Wu Tsai Neurosciences InstituteStanford University School of MedicineStanfordCaliforniaUSA
- The Phil and Penny Knight Initiative for Brain ResilienceStanford UniversityStanfordCaliforniaUSA
| | - Elizabeth C. Mormino
- Department of Neurology and Neurological SciencesStanford University School of MedicinePalo AltoCaliforniaUSA
- Wu Tsai Neurosciences InstituteStanford University School of MedicineStanfordCaliforniaUSA
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Palstrøm NB, Campbell AJ, Lindegaard CA, Cakar S, Matthiesen R, Beck HC. Spectral library search for improved TMTpro labelled peptide assignment in human plasma proteomics. Proteomics 2024; 24:e2300236. [PMID: 37706597 DOI: 10.1002/pmic.202300236] [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: 06/01/2023] [Revised: 06/21/2023] [Accepted: 06/22/2023] [Indexed: 09/15/2023]
Abstract
Clinical biomarker discovery is often based on the analysis of human plasma samples. However, the high dynamic range and complexity of plasma pose significant challenges to mass spectrometry-based proteomics. Current methods for improving protein identifications require laborious pre-analytical sample preparation. In this study, we developed and evaluated a TMTpro-specific spectral library for improved protein identification in human plasma proteomics. The library was constructed by LC-MS/MS analysis of highly fractionated TMTpro-tagged human plasma, human cell lysates, and relevant arterial tissues. The library was curated using several quality filters to ensure reliable peptide identifications. Our results show that spectral library searching using the TMTpro spectral library improves the identification of proteins in plasma samples compared to conventional sequence database searching. Protein identifications made by the spectral library search engine demonstrated a high degree of complementarity with the sequence database search engine, indicating the feasibility of increasing the number of protein identifications without additional pre-analytical sample preparation. The TMTpro-specific spectral library provides a resource for future plasma proteomics research and optimization of search algorithms for greater accuracy and speed in protein identifications in human plasma proteomics, and is made publicly available to the research community via ProteomeXchange with identifier PXD042546.
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Affiliation(s)
- Nicolai B Palstrøm
- Department of Clinical Biochemistry, Odense University Hospital, Odense, Denmark
| | - Amanda J Campbell
- Department of Clinical Biochemistry, Odense University Hospital, Odense, Denmark
| | | | - Samir Cakar
- Department of Clinical Biochemistry, Odense University Hospital, Odense, Denmark
| | - Rune Matthiesen
- Computational and Experimental Biology Group, CEDOC, Chronic Diseases Research Centre, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - Hans C Beck
- Department of Clinical Biochemistry, Odense University Hospital, Odense, Denmark
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Beck HC, Skovgaard AC, Mohammadnejad A, Palstrøm NB, Nielsen PF, Mengel-From J, Hjelmborg J, Rasmussen LM, Soerensen M. A Mass Spectrometry-Based Proteome Study of Twin Pairs Discordant for Incident Acute Myocardial Infarction within Three Years after Blood Sampling Suggests Novel Biomarkers. Int J Mol Sci 2024; 25:2638. [PMID: 38473885 DOI: 10.3390/ijms25052638] [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: 11/30/2023] [Revised: 02/09/2024] [Accepted: 02/20/2024] [Indexed: 03/14/2024] Open
Abstract
Acute myocardial infarction (AMI) is a major cause of mortality and morbidity worldwide, yet biomarkers for AMI in the short- or medium-term are lacking. We apply the discordant twin pair design, reducing genetic and environmental confounding, by linking nationwide registry data on AMI diagnoses to a survey of 12,349 twins, thereby identifying 39 twin pairs (48-79 years) discordant for their first-ever AMI within three years after blood sampling. Mass spectrometry of blood plasma identified 715 proteins. Among 363 proteins with a call rate > 50%, imputation and stratified Cox regression analysis revealed seven significant proteins (FDR < 0.05): FGD6, MCAM, and PIK3CB reflected an increased level in AMI twins relative to their non-AMI co-twins (HR > 1), while LBP, IGHV3-15, C1RL, and APOC4 reflected a decreased level in AMI twins relative to their non-AMI co-twins (HR < 1). Additional 50 proteins were nominally significant (p < 0.05), and bioinformatics analyses of all 57 proteins revealed biology within hemostasis, coagulation cascades, the immune system, and the extracellular matrix. A protein-protein-interaction network revealed Fibronectin 1 as a central hub. Finally, technical validation confirmed MCAM, LBP, C1RL, and APOC3. We put forward novel biomarkers for incident AMI, a part of the proteome field where markers are surprisingly rare and where additional studies are highly needed.
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Affiliation(s)
- Hans Christian Beck
- Center for Individualized Medicine in Arterial Diseases, Department of Clinical Biochemistry, Odense University Hospital, J. B. Winsloews Vej 4, 5000 Odense, Denmark
| | - Asmus Cosmos Skovgaard
- The Danish Twin Registry and Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark
| | - Afsaneh Mohammadnejad
- The Danish Twin Registry and Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark
| | - Nicolai Bjødstrup Palstrøm
- Center for Individualized Medicine in Arterial Diseases, Department of Clinical Biochemistry, Odense University Hospital, J. B. Winsloews Vej 4, 5000 Odense, Denmark
| | - Palle Fruekilde Nielsen
- Center for Individualized Medicine in Arterial Diseases, Department of Clinical Biochemistry, Odense University Hospital, J. B. Winsloews Vej 4, 5000 Odense, Denmark
| | - Jonas Mengel-From
- The Danish Twin Registry and Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark
| | - Jacob Hjelmborg
- The Danish Twin Registry and Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark
| | - Lars Melholt Rasmussen
- Center for Individualized Medicine in Arterial Diseases, Department of Clinical Biochemistry, Odense University Hospital, J. B. Winsloews Vej 4, 5000 Odense, Denmark
| | - Mette Soerensen
- The Danish Twin Registry and Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, J. B. Winsloews Vej 4, 5000 Odense, Denmark
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7
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Zhou X, Xue F, Li T, Xue J, Yue S, Zhao S, Lu H, He C. Exploration of potential biomarkers for early bladder cancer based on urine proteomics. Front Oncol 2024; 14:1309842. [PMID: 38410113 PMCID: PMC10894981 DOI: 10.3389/fonc.2024.1309842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 01/29/2024] [Indexed: 02/28/2024] Open
Abstract
Background Bladder cancer is a common malignant tumor of the urinary system. The progression of the condition is associated with a poor prognosis, so it is necessary to identify new biomarkers to improve the diagnostic rate of bladder cancer. Methods In this study, 338 urine samples (144 bladder cancer, 123 healthy control, 32 cystitis, and 39 upper urinary tract cancer samples) were collected, among which 238 samples (discovery group) were analyzed by LC-MS. The urinary proteome characteristics of each group were compared with those of bladder cancer, and the differential proteins were defined by bioinformatics analysis. The pathways and functional enrichments were annotated. The selected proteins with the highest AUC score were used to construct a diagnostic panel. One hundred samples (validation group) were used to test the effect of the panel by ELISA. Results Compared with the healthy control, cystitis and upper urinary tract cancer samples, the number of differential proteins in the bladder cancer samples was 325, 158 and 473, respectively. The differentially expressed proteins were mainly related to lipid metabolism and iron metabolism and were involved in the proliferation, metabolism and necrosis of bladder cancer cells. The AUC of the panel of APOL1 and ITIH3 was 0.96 in the discovery group. ELISA detection showed an AUC of 0.92 in the validation group. Conclusion This study showed that urinary proteins can reflect the pathophysiological changes in bladder cancer and that important molecules can be used as biomarkers for bladder cancer screening. These findings will benefit the application of the urine proteome in clinical research.
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Affiliation(s)
- Xu Zhou
- Department of Laboratory Medicine, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Fei Xue
- Department of Laboratory Medicine, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Tingmiao Li
- Department of Laboratory Medicine, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Jiangshan Xue
- Department of Laboratory Medicine, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Siqi Yue
- Department of Laboratory Medicine, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Shujie Zhao
- Department of Laboratory Medicine, Changchun Infectious Diseases Hospital, Changchun, China
| | - Hezhen Lu
- Department of Laboratory Medicine, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Chengyan He
- Department of Laboratory Medicine, China-Japan Union Hospital of Jilin University, Changchun, China
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Niida T, Yuki H, Suzuki K, Kinoshita D, Fujimoto D, Nakajima A, McNulty I, Lee H, Tanriverdi K, Nakamura S, Jang IK. Proteomics associated with coronary high-risk plaques by optical coherence tomography. J Thromb Thrombolysis 2024; 57:204-211. [PMID: 38296868 DOI: 10.1007/s11239-023-02938-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/16/2023] [Indexed: 02/02/2024]
Abstract
Biomarkers are widely used for the diagnosis and monitoring of cardiovascular disease. However, markers for coronary high-risk plaques have not been identified. The aim of this study was to identify proteins specific to coronary high-risk plaques. Fifty-one patients (71.2 ± 11.1 years, male: 66.7%) who underwent intracoronary optical coherence tomography imaging and provided blood specimens for proteomic analysis were prospectively enrolled. A total of 1470 plasma proteins were analyzed per patient using the Olink® Explore 1536 Reagent Kit. In patients with thin-cap fibroatheroma, the protein expression of Calretinin (CALB2), Corticoliberin (CRH) and Alkaline phosphatase, placental type (ALPP) were significantly increased, while the expression of Neuroplastin (NPTN), Folate receptor gamma (FOLR3) and Serpin A12 (SERPINA12) were significantly decreased. In patients with macrophage infiltration, the protein expressions of Fatty acid-binding protein, intestinal (FABP2), and Fibroblast growth factor 21 (FGF21) were significantly decreased. In patients with lipid-rich plaques, the protein expression of Interleukin-17 C (IL17C) was significantly increased, while the expression of Fc receptor-like protein 3 (FCRL3) was significantly decreased. These proteins might be useful markers in identifying patients with coronary high-risk plaques. Clinical Trial Registration: https://www.umin.ac.jp/ctr/ , UMIN000041692.
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Affiliation(s)
- Takayuki Niida
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Haruhito Yuki
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Keishi Suzuki
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Daisuke Kinoshita
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Daichi Fujimoto
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Akihiro Nakajima
- Interventional Cardiology Unit, New Tokyo Hospital, Chiba, Japan
| | - Iris McNulty
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Hang Lee
- Biostatistics Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kahraman Tanriverdi
- Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sunao Nakamura
- Interventional Cardiology Unit, New Tokyo Hospital, Chiba, Japan
| | - Ik-Kyung Jang
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Allan and Gill Gray Professor of Medicine, Cardiology Division, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, GRB 800, Boston, MA, 02114, USA.
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9
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Quiroga B, Ortiz A, Díez J. Selective glomerular hypofiltration syndrome. Nephrol Dial Transplant 2023; 39:10-17. [PMID: 37407284 DOI: 10.1093/ndt/gfad145] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Indexed: 07/07/2023] Open
Abstract
The estimated glomerular filtration rate (eGFR) provides insight into cardiovascular disease (CVD) risk stratification and proactive management. Accumulating evidence suggests that combining eGFR calculated from serum cystatin C (eGFRcys) and from serum creatinine (eGFRcrea) improves CVD risk stratification over eGFRcrea alone. The term selective glomerular hypofiltration syndrome (SGHS) or shrunken pore syndrome has been proposed to define an eGFRcys:eGFRcrea ratio <1, which is hypothesized to result from a reduced glomerular filtration of 5- to 30-kDa molecules as compared with smaller molecules. SGHS may be identified in people with normal or reduced measured GFR, but the prevalence depends on the cut-off value of the eGFRcys:eGFRcrea ratio used, which is not yet standardized. SGHS is strongly associated with increased CVD and mortality risks and it may offer an opportunity to expand our understanding of the mechanisms linking GFR disorders with CVD risk (e.g. an altered plasma proteome), which may guide treatment decisions. However, muscle wasting may also contribute to a reduced eGFRcys:eGFRcrea ratio and there are open questions regarding the pathophysiology of a reduced eGFRcys:eGFRcrea ratio, the reference cut-off values of the ratio to define the syndrome and its clinical implications. We now critically review the SGHS concept, its pathophysiological basis and links to CVD and the potential consequences for clinical practice and propose a research agenda.
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Affiliation(s)
- Borja Quiroga
- IIS-La Princesa, Nephrology Department, Hospital Universitario de la Princesa, Madrid, Spain
| | - Alberto Ortiz
- Division of Nephrology IIS-Fundacion Jimenez Diaz, Department of Medicine, Universidad Autónoma de Madrid, Madrid, Spain
- RICORS2040, Carlos III Institute of Health, Madrid, Spain
| | - Javier Díez
- Center of Applied Medical Research and School of Medicine, University of Navarra, Pamplona, Spain
- Centro de Investigación Biomédica en Red de la Enfermedades Cardiovasculares, Carlos III Institute of Health, Madrid, Spain
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10
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Mazidi M, Wright N, Yao P, Kartsonaki C, Millwood IY, Fry H, Said S, Pozarickij A, Pei P, Chen Y, Avery D, Du H, Schmidt DV, Yang L, Lv J, Yu C, Chen J, Hill M, Holmes MV, Howson JMM, Peto R, Collins R, Bennett DA, Walters RG, Li L, Clarke R, Chen Z. Plasma Proteomics to Identify Drug Targets for Ischemic Heart Disease. J Am Coll Cardiol 2023; 82:1906-1920. [PMID: 37940228 PMCID: PMC10641761 DOI: 10.1016/j.jacc.2023.09.804] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 08/11/2023] [Accepted: 09/05/2023] [Indexed: 11/10/2023]
Abstract
BACKGROUND Integrated analyses of plasma proteomic and genetic markers in prospective studies can clarify the causal relevance of proteins and discover novel targets for ischemic heart disease (IHD) and other diseases. OBJECTIVES The purpose of this study was to examine associations of proteomics and genetics data with IHD in population studies to discover novel preventive treatments. METHODS We conducted a nested case-cohort study in the China Kadoorie Biobank (CKB) involving 1,971 incident IHD cases and 2,001 subcohort participants who were genotyped and free of prior cardiovascular disease. We measured 1,463 proteins in the stored baseline samples using the OLINK EXPLORE panel. Cox regression yielded adjusted HRs for IHD associated with individual proteins after accounting for multiple testing. Moreover, cis-protein quantitative loci (pQTLs) identified for proteins in genome-wide association studies of CKB and of UK Biobank were used as instrumental variables in separate 2-sample Mendelian randomization (MR) studies involving global CARDIOGRAM+C4D consortium (210,842 IHD cases and 1,378,170 controls). RESULTS Overall 361 proteins were significantly associated at false discovery rate <0.05 with risk of IHD (349 positively, 12 inversely) in CKB, including N-terminal prohormone of brain natriuretic peptide and proprotein convertase subtilisin/kexin type 9. Of these 361 proteins, 212 had cis-pQTLs in CKB, and MR analyses of 198 variants in CARDIOGRAM+C4D identified 13 proteins that showed potentially causal associations with IHD. Independent MR analyses of 307 cis-pQTLs identified in Europeans replicated associations for 4 proteins (FURIN, proteinase-activated receptor-1, Asialoglycoprotein receptor-1, and matrix metalloproteinase-3). Further downstream analyses showed that FURIN, which is highly expressed in endothelial cells, is a potential novel target and matrix metalloproteinase-3 a potential repurposing target for IHD. CONCLUSIONS Integrated analyses of proteomic and genetic data in Chinese and European adults provided causal support for FURIN and multiple other proteins as potential novel drug targets for treatment of IHD.
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Affiliation(s)
- Mohsen Mazidi
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Neil Wright
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Pang Yao
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Christiana Kartsonaki
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Iona Y Millwood
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Hannah Fry
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Saredo Said
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Alfred Pozarickij
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
| | - Yiping Chen
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Daniel Avery
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Huaidong Du
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Dan Valle Schmidt
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ling Yang
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Jun Lv
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Key Laboratory of Epidemiology of Major (Peking University), Ministry of Education, Beijing, China
| | - Canqing Yu
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Key Laboratory of Epidemiology of Major (Peking University), Ministry of Education, Beijing, China
| | - Junshi Chen
- China National Center for Food Risk Assessment, Beijing, China
| | - Michael Hill
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Michael V Holmes
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | | | - Richard Peto
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Rory Collins
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Derrick A Bennett
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Robin G Walters
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Liming Li
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China; Key Laboratory of Epidemiology of Major (Peking University), Ministry of Education, Beijing, China
| | - Robert Clarke
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
| | - Zhengming Chen
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; Medical Research Council Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
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11
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Reitz CJ, Kuzmanov U, Gramolini AO. Multi-omic analyses and network biology in cardiovascular disease. Proteomics 2023; 23:e2200289. [PMID: 37691071 DOI: 10.1002/pmic.202200289] [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: 03/17/2023] [Revised: 08/11/2023] [Accepted: 08/22/2023] [Indexed: 09/12/2023]
Abstract
Heart disease remains a leading cause of death in North America and worldwide. Despite advances in therapies, the chronic nature of cardiovascular diseases ultimately results in frequent hospitalizations and steady rates of mortality. Systems biology approaches have provided a new frontier toward unraveling the underlying mechanisms of cell, tissue, and organ dysfunction in disease. Mapping the complex networks of molecular functions across the genome, transcriptome, proteome, and metabolome has enormous potential to advance our understanding of cardiovascular disease, discover new disease biomarkers, and develop novel therapies. Computational workflows to interpret these data-intensive analyses as well as integration between different levels of interrogation remain important challenges in the advancement and application of systems biology-based analyses in cardiovascular research. This review will focus on summarizing the recent developments in network biology-level profiling in the heart, with particular emphasis on modeling of human heart failure. We will provide new perspectives on integration between different levels of large "omics" datasets, including integration of gene regulatory networks, protein-protein interactions, signaling networks, and metabolic networks in the heart.
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Affiliation(s)
- Cristine J Reitz
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Translational Biology and Engineering Program, Ted Rogers Centre for Heart Research, Toronto, Ontario, Canada
| | - Uros Kuzmanov
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Translational Biology and Engineering Program, Ted Rogers Centre for Heart Research, Toronto, Ontario, Canada
| | - Anthony O Gramolini
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Translational Biology and Engineering Program, Ted Rogers Centre for Heart Research, Toronto, Ontario, Canada
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12
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Jin L, Wang F, Wang X, Harvey BP, Bi Y, Hu C, Cui B, Darcy AT, Maull JW, Phillips BR, Kim Y, Jenkins GJ, Sornasse TR, Tian Y. Identification of Plasma Biomarkers from Rheumatoid Arthritis Patients Using an Optimized Sequential Window Acquisition of All THeoretical Mass Spectra (SWATH) Proteomics Workflow. Proteomes 2023; 11:32. [PMID: 37873874 PMCID: PMC10594463 DOI: 10.3390/proteomes11040032] [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: 08/16/2023] [Revised: 09/28/2023] [Accepted: 10/02/2023] [Indexed: 10/25/2023] Open
Abstract
Rheumatoid arthritis (RA) is a systemic autoimmune and inflammatory disease. Plasma biomarkers are critical for understanding disease mechanisms, treatment effects, and diagnosis. Mass spectrometry-based proteomics is a powerful tool for unbiased biomarker discovery. However, plasma proteomics is significantly hampered by signal interference from high-abundance proteins, low overall protein coverage, and high levels of missing data from data-dependent acquisition (DDA). To achieve quantitative proteomics analysis for plasma samples with a balance of throughput, performance, and cost, we developed a workflow incorporating plate-based high abundance protein depletion and sample preparation, comprehensive peptide spectral library building, and data-independent acquisition (DIA) SWATH mass spectrometry-based methodology. In this study, we analyzed plasma samples from both RA patients and healthy donors. The results showed that the new workflow performance exceeded that of the current state-of-the-art depletion-based plasma proteomic platforms in terms of both data quality and proteome coverage. Proteins from biological processes related to the activation of systemic inflammation, suppression of platelet function, and loss of muscle mass were enriched and differentially expressed in RA. Some plasma proteins, particularly acute-phase reactant proteins, showed great power to distinguish between RA patients and healthy donors. Moreover, protein isoforms in the plasma were also analyzed, providing even deeper proteome coverage. This workflow can serve as a basis for further application in discovering plasma biomarkers of other diseases.
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Affiliation(s)
- Liang Jin
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Fei Wang
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Xue Wang
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Bohdan P. Harvey
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Yingtao Bi
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Chenqi Hu
- DMPK, Takeda Development Center Americas Inc., Cambridge, MA 02142, USA; (C.H.)
| | - Baoliang Cui
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Anhdao T. Darcy
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - John W. Maull
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Ben R. Phillips
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Youngjae Kim
- DMPK, Takeda Development Center Americas Inc., Cambridge, MA 02142, USA; (C.H.)
| | - Gary J. Jenkins
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Thierry R. Sornasse
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
| | - Yu Tian
- Research & Development, AbbVie, North Chicago, IL 60064, USA; (L.J.); (B.P.H.); (B.C.); (A.T.D.); (J.W.M.); (T.R.S.)
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13
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Bader JM, Albrecht V, Mann M. MS-based proteomics of body fluids: The end of the beginning. Mol Cell Proteomics 2023:100577. [PMID: 37209816 PMCID: PMC10388585 DOI: 10.1016/j.mcpro.2023.100577] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/07/2023] [Accepted: 05/11/2023] [Indexed: 05/22/2023] Open
Abstract
Accurate biomarkers are a crucial and necessary precondition for precision medicine, yet existing ones are often unspecific and new ones have been very slow to enter the clinic. Mass spectrometry (MS)-based proteomics excels by its untargeted nature, specificity of identification and quantification making it an ideal technology for biomarker discovery and routine measurement. It has unique attributes compared to affinity binder technologies, such as OLINK Proximity Extension Assay and SOMAscan. In a previous review we described technological and conceptual limitations that had held back success (Geyer et al., 2017). We proposed a 'rectangular strategy' to better separate true biomarkers by minimizing cohort-specific effects. Today, this has converged with advances in MS-based proteomics technology, such as increased sample throughput, depth of identification and quantification. As a result, biomarker discovery studies have become more successful, producing biomarker candidates that withstand independent verification and, in some cases, already outperform state-of-the-art clinical assays. We summarize developments over the last years, including the benefits of large and independent cohorts, which are necessary for clinical acceptance. They are also required for machine learning or deep learning. Shorter gradients, new scan modes and multiplexing are about to drastically increase throughput, cross-study integration, and quantification, including proxies for absolute levels. We have found that multi-protein panels are inherently more robust than current single analyte tests and better capture the complexity of human phenotypes. Routine MS measurement in the clinic is fast becoming a viable option. The full set of proteins in a body fluid (global proteome) is the most important reference and the best process control. Additionally, it increasingly has all the information that could be obtained from targeted analysis although the latter may be the most straightforward way to enter into regular use. Many challenges remain, not least of a regulatory and ethical nature, but the outlook for MS-based clinical applications has never been brighter.
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Affiliation(s)
- Jakob M Bader
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
| | - Vincent Albrecht
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
| | - Matthias Mann
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany; Novo Nordisk Foundation Center for Protein Research, Faculty of Health Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
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14
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Ubaida-Mohien C, Tanaka T, Tian Q, Moore Z, Moaddel R, Basisty N, Simonsick EM, Ferrucci L. Blood Biomarkers for Healthy Aging. Gerontology 2023; 69:1167-1174. [PMID: 37166337 PMCID: PMC11137618 DOI: 10.1159/000530795] [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: 11/02/2022] [Accepted: 03/22/2023] [Indexed: 05/12/2023] Open
Abstract
Measuring the abundance of biological molecules and their chemical modifications in blood and tissues has been the cornerstone of research and medical diagnoses for decades. Although the number and variety of molecules that can be measured have expanded exponentially, the blood biomarkers routinely assessed in medical practice remain limited to a few dozen, which have not substantially changed over the last 30-40 years. The discovery of novel biomarkers would allow, for example, risk stratification or monitoring of disease progression or the effectiveness of treatments and interventions, improving clinical practice in myriad ways. In this review, we combine the biomarker discovery concept with geroscience. Geroscience bridges aging research and translation to clinical applications by combining the framework of medical gerontology with high-technology medical research. With the development of geroscience and the rise of blood biomarkers, there has been a paradigm shift from disease prevention and cure to promoting health and healthy aging. New -omic technologies have played a role in the development of blood biomarkers, including epigenetic, proteomic, metabolomic, and lipidomic markers, which have emerged as correlates or predictors of health status, from disease to exceptional health.
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Affiliation(s)
- Ceereena Ubaida-Mohien
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Qu Tian
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Zenobia Moore
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Ruin Moaddel
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Nathan Basisty
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Eleanor M Simonsick
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
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15
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Blatt S, Kämmerer PW, Krüger M, Surabattula R, Thiem DGE, Dillon ST, Al-Nawas B, Libermann TA, Schuppan D. High-Multiplex Aptamer-Based Serum Proteomics to Identify Candidate Serum Biomarkers of Oral Squamous Cell Carcinoma. Cancers (Basel) 2023; 15:cancers15072071. [PMID: 37046731 PMCID: PMC10093013 DOI: 10.3390/cancers15072071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 03/17/2023] [Accepted: 03/29/2023] [Indexed: 04/03/2023] Open
Abstract
Improved serological biomarkers are needed for the early detection, risk stratification and treatment surveillance of patients with oral squamous cell carcinoma (OSCC). We performed an exploratory study using advanced, highly specific, DNA-aptamer-based serum proteomics (SOMAscan, 1305-plex) to identify distinct proteomic changes in patients with OSCC pre- vs. post-resection and compared to healthy controls. A total of 63 significantly differentially expressed serum proteins (each p < 0.05) were found that could discriminate between OSCC and healthy controls with 100% accuracy. Furthermore, 121 proteins were detected that were significantly altered between pre- and post-resection sera, and 12 OSCC-associated proteins reversed to levels equivalent to healthy controls after resection. Of these, 6 were increased and 6 were decreased relative to healthy controls, highlighting the potential relevance of these proteins as OSCC tumor markers. Pathway analyses revealed potential pathophysiological mechanisms associated with OSCC. Hence, quantitative proteome analysis using SOMAscan technology is promising and may aid in the development of defined serum marker assays to predict tumor occurrence, progression and recurrence in OSCC, and to guide personalized therapies.
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16
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Parmana IMA, Boom CE, Rachmadi L, Hanafy DA, Widyastuti Y, Mansyur M, Siswanto BB. Correlation Between Cardiac Index, Plasma Troponin I, Myocardial Histopathology, CPB and AoX Duration in Glutamine versus No Glutamine Administered Patients with Low Ejection Fraction Undergoing Elective On-Pump CABG Surgery: Secondary Analysis of an RCT. Vasc Health Risk Manag 2023; 19:93-101. [PMID: 36880009 PMCID: PMC9985398 DOI: 10.2147/vhrm.s399925] [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: 12/05/2022] [Accepted: 02/18/2023] [Indexed: 03/04/2023] Open
Abstract
Purpose On-pump coronary artery bypass graft (CABG) causes myocardial ischemia, through the cardiopulmonary bypass (CPB) and aortic cross-clamping (AoX). Glutamine supplementation protects cardiac cells during cardiac ischemia. This study analysed the correlation between cardiac index (CI), plasma troponin I, myocardial histopathology, CPB and AoX duration in low ejection fraction patients receiving glutamine and no glutamine undergoing elective on-pump CABG. Material and Methods This was a secondary analysis of a double-blind, randomised controlled trial of 60 patients, split into control and intervention (glutamine) groups. Glutamine was administered at a dose of 0.5 g/kg/24 hours. There were 29 patients in each respective groups after a total of two patients dropped out. Results A negative correlation (p = 0.037) was observed between CPB duration and CI at 6 hours after CPB in the glutamine group. A positive correlation (p = 0.002) was also observed between AoX duration and plasma troponin I at 6 hours after CPB in the control group. However, no correlation was observed between myocardial histopathology and plasma troponin I level at 5 minutes after CPB. Conclusion Significant negative correlation between CPB duration and CI at 6 hours after CPB in the glutamine group, along with significant positive correlation between AoX duration and plasma troponin I level at 6 hours after CPB in the control group demonstrated the myocardial protection qualities of intravenous glutamine administration in patients with low ejection fraction undergoing elective on-pump CABG surgeries.
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Affiliation(s)
- I Made Adi Parmana
- Department of Anesthesiology and Intensive Care, National Cardiovascular Center Harapan Kita, Jakarta, Indonesia
| | - Cindy Elfira Boom
- Department of Anesthesiology and Intensive Care, National Cardiovascular Center Harapan Kita, Jakarta, Indonesia
| | - Lisnawati Rachmadi
- Department of Anatomical Pathology, Faculty of Medicine, Universitas Indonesia/Dr. Cipto Mangunkusumo Hospital, Jakarta, Indonesia
| | - Dudy Arman Hanafy
- Department of Cardiothoracic and Vascular Surgery, Faculty of Medicine, Universitas Indonesia/National Cardiovascular Center Harapan Kita, Jakarta, Indonesia
| | - Yunita Widyastuti
- Department of Anesthesiology and Intensive Care, Universitas Gadjah Mada/Dr. Sardjito Hospital, Yogyakarta, Indonesia
| | - Muchtaruddin Mansyur
- Department of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Bambang Budi Siswanto
- Department of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Indonesia/National Cardiovascular Center Harapan Kita, Jakarta, Indonesia
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The Patent Ductus Arteriosus in Extremely Preterm Neonates Is More than a Hemodynamic Challenge: New Molecular Insights. Biomolecules 2022; 12:biom12091179. [PMID: 36139018 PMCID: PMC9496182 DOI: 10.3390/biom12091179] [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: 07/10/2022] [Revised: 08/17/2022] [Accepted: 08/18/2022] [Indexed: 11/16/2022] Open
Abstract
Complications to preterm birth are numerous, including the presence of a patent ductus arteriosus (PDA). The biological understanding of the PDA is sparse and treatment remains controversial. Herein, we speculate whether the PDA is more than a cardiovascular imbalance, and may be a marker in response to immature core molecular and physiological processes driven by biological systems, such as inflammation. To achieve a new biological understanding of the PDA, we performed echocardiography and collected plasma samples on day 3 of life in 53 consecutively born neonates with a gestational age at birth below 28 completed weeks. The proteome of these samples was analyzed by mass spectrometry (nanoLC-MS/MS) and immunoassay of 17 cytokines and chemokines. We found differences in 21 proteins and 8 cytokines between neonates with a large PDA (>1.5 mm) compared to neonates without a PDA. Amongst others, we found increased levels of angiotensinogen, periostin, pro-inflammatory associations, including interleukin (IL)-1β and IL-8, and anti-inflammatory associations, including IL-1RA and IL-10. Levels of complement factors C8 and carboxypeptidases were decreased. Our findings associate the PDA with the renin-angiotensin-aldosterone system and immune- and complement systems, indicating that PDA goes beyond the persistence of a fetal circulatory connection of the great vessels.
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