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Hällqvist J, Bartl M, Dakna M, Schade S, Garagnani P, Bacalini MG, Pirazzini C, Bhatia K, Schreglmann S, Xylaki M, Weber S, Ernst M, Muntean ML, Sixel-Döring F, Franceschi C, Doykov I, Śpiewak J, Vinette H, Trenkwalder C, Heywood WE, Mills K, Mollenhauer B. Plasma proteomics identify biomarkers predicting Parkinson's disease up to 7 years before symptom onset. Nat Commun 2024; 15:4759. [PMID: 38890280 PMCID: PMC11189460 DOI: 10.1038/s41467-024-48961-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 05/20/2024] [Indexed: 06/20/2024] Open
Abstract
Parkinson's disease is increasingly prevalent. It progresses from the pre-motor stage (characterised by non-motor symptoms like REM sleep behaviour disorder), to the disabling motor stage. We need objective biomarkers for early/pre-motor disease stages to be able to intervene and slow the underlying neurodegenerative process. Here, we validate a targeted multiplexed mass spectrometry assay for blood samples from recently diagnosed motor Parkinson's patients (n = 99), pre-motor individuals with isolated REM sleep behaviour disorder (two cohorts: n = 18 and n = 54 longitudinally), and healthy controls (n = 36). Our machine-learning model accurately identifies all Parkinson patients and classifies 79% of the pre-motor individuals up to 7 years before motor onset by analysing the expression of eight proteins-Granulin precursor, Mannan-binding-lectin-serine-peptidase-2, Endoplasmatic-reticulum-chaperone-BiP, Prostaglaindin-H2-D-isomaerase, Interceullular-adhesion-molecule-1, Complement C3, Dickkopf-WNT-signalling pathway-inhibitor-3, and Plasma-protease-C1-inhibitor. Many of these biomarkers correlate with symptom severity. This specific blood panel indicates molecular events in early stages and could help identify at-risk participants for clinical trials aimed at slowing/preventing motor Parkinson's disease.
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Affiliation(s)
- Jenny Hällqvist
- UCL Institute of Child Health and Great Ormond Street Hospital, London, UK.
- UCL Queen Square Institute of Neurology, Clinical and Movement Neurosciences, London, UK.
| | - Michael Bartl
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany.
- Institute for Neuroimmunology and Multiple Sclerosis Research, University Medical Center Goettingen, Goettingen, Germany.
| | - Mohammed Dakna
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | | | - Paolo Garagnani
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | | | - Chiara Pirazzini
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Kailash Bhatia
- National Hospital for Neurology & Neurosurgery, Queen Square, WC1N3BG, London, UK
| | | | - Mary Xylaki
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | - Sandrina Weber
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
| | - Marielle Ernst
- Institute of Diagnostic and Interventional Neuroradiology, University Medical Center Goettingen, Goettingen, Germany
| | | | - Friederike Sixel-Döring
- Paracelsus-Elena-Klinik, Kassel, Germany
- Department of Neurology, Philipps-University, Marburg, Germany
| | - Claudio Franceschi
- Department of Experimental, Diagnostic, and Specialty Medicine (DIMES), University of Bologna, Bologna, Italy
| | - Ivan Doykov
- UCL Institute of Child Health and Great Ormond Street Hospital, London, UK
| | - Justyna Śpiewak
- UCL Institute of Child Health and Great Ormond Street Hospital, London, UK
| | - Héloїse Vinette
- UCL Institute of Child Health and Great Ormond Street Hospital, London, UK
- UCL: Food, Microbiomes and Health Institute Strategic Programme, Quadram Institute Bioscience, Norwich Research Park, Norwich, UK
| | - Claudia Trenkwalder
- Paracelsus-Elena-Klinik, Kassel, Germany
- Department of Neurosurgery, University Medical Center Goettingen, Goettingen, Germany
| | - Wendy E Heywood
- UCL Institute of Child Health and Great Ormond Street Hospital, London, UK
| | - Kevin Mills
- UCL Queen Square Institute of Neurology, Clinical and Movement Neurosciences, London, UK
| | - Brit Mollenhauer
- Department of Neurology, University Medical Center Goettingen, Goettingen, Germany
- Paracelsus-Elena-Klinik, Kassel, Germany
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Chen S, Venkatesan A, Lin YQ, Xie J, Neely G, Banerjee S, Bhat MA. Drosophila Homolog of the Human Carpenter Syndrome Linked Gene, MEGF8, Is Required for Synapse Development and Function. J Neurosci 2022; 42:7016-7030. [PMID: 35944997 PMCID: PMC9480877 DOI: 10.1523/jneurosci.0442-22.2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 07/29/2022] [Accepted: 08/03/2022] [Indexed: 11/21/2022] Open
Abstract
Drosophila multiple epidermal growth factor-like domains 8 (dMegf8) is a homolog of human MEGF8 MEGF8 encodes a multidomain transmembrane protein which is highly conserved across species. In humans, MEGF8 mutations cause a rare genetic disorder called Carpenter syndrome, which is frequently associated with abnormal left-right patterning, cardiac defects, and learning disabilities. MEGF8 is also associated with psychiatric disorders. Despite its clinical relevance, MEGF8 remains poorly characterized; and although it is highly conserved, studies on animal models of Megf8 are also very limited. The presence of intellectual disabilities in Carpenter syndrome patients and association of MEGF8 with psychiatric disorders indicate that mutations in MEGF8 cause underlying defects in synaptic structure and functions. In this study, we investigated the role of Drosophila dMegf8 in glutamatergic synapses of the larval neuromuscular junctions (NMJ) in both males and females. We show that dMegf8 localizes to NMJ synapses and is required for proper synaptic growth. dMegf8 mutant larvae and adults show severe motor coordination deficits. At the NMJ, dMegf8 mutants show altered localization of presynaptic and postsynaptic proteins, defects in synaptic ultrastructure, and neurotransmission. Interestingly, dMegf8 mutants have reduced levels of the Type II BMP receptor Wishful thinking (Wit). dMegf8 displays genetic interactions with neurexin-1 (dnrx) and wit, and in association with Dnrx and Wit plays an essential role in synapse organization. Our studies provide insights into human MEGF8 functions and potentially into mechanisms that may underlie intellectual disabilities observed in Carpenter syndrome as well as MEGF8-related synaptic structural and/or functional deficits in psychiatric disorders.SIGNIFICANCE STATEMENT Carpenter syndrome, known for over a century now, is a genetic disorder linked to mutations in Multiple Epidermal Growth Factor-like Domains 8 (MEGF8) gene and associated with intellectual disabilities among other symptoms. MEGF8 is also associated with psychiatric disorders. Despite the high genetic conservation and clinical relevance, the functions of MEGF8 remain largely uncharacterized. Patients with intellectual disabilities and psychiatric diseases often have an underlying defect in synaptic structure and function. This work defines the role of the fly homolog of human MEGF8, dMegf8, in glutamatergic synapse growth, organization, and function and provide insights into potential functions of MEGF8 in human central synapses and synaptic mechanisms that may underlie psychiatric disorders and intellectual disabilities seen in Carpenter syndrome.
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Affiliation(s)
- Shuting Chen
- Department of Cellular and Integrative Physiology, Joe R. and Teresa Lozano Long School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas 78229
- Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Anand Venkatesan
- Department of Cellular and Integrative Physiology, Joe R. and Teresa Lozano Long School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas 78229
| | - Yong Qi Lin
- Dr. John and Anne Chong Lab for Functional Genomics, Charles Perkins Centre and School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales Australia 2006
| | - Jing Xie
- Department of Cellular and Integrative Physiology, Joe R. and Teresa Lozano Long School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas 78229
- Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Gregory Neely
- Dr. John and Anne Chong Lab for Functional Genomics, Charles Perkins Centre and School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales Australia 2006
| | - Swati Banerjee
- Department of Cellular and Integrative Physiology, Joe R. and Teresa Lozano Long School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas 78229
| | - Manzoor A Bhat
- Department of Cellular and Integrative Physiology, Joe R. and Teresa Lozano Long School of Medicine, University of Texas Health Science Center San Antonio, San Antonio, Texas 78229
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Shen J, Amari N, Zack R, Skrinak RT, Unger TL, Posavi M, Tropea TF, Xie SX, Van Deerlin VM, Dewey RB, Weintraub D, Trojanowski JQ, Chen-Plotkin AS. Plasma MIA, CRP, and Albumin Predict Cognitive Decline in Parkinson's Disease. Ann Neurol 2022; 92:255-269. [PMID: 35593028 PMCID: PMC9329215 DOI: 10.1002/ana.26410] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 05/04/2022] [Indexed: 11/09/2022]
Abstract
OBJECTIVE Using a multi-cohort, discovery-replication-validation design, we sought new plasma biomarkers that predict which individuals with Parkinson's disease (PD) will experience cognitive decline. METHODS In 108 discovery cohort PD individuals and 83 replication cohort PD individuals, we measured 940 plasma proteins on an aptamer-based platform. Using proteins associated with subsequent cognitive decline in both cohorts, we trained a logistic regression model to predict which patients with PD showed fast (> = 1 point drop/year on Montreal Cognitive Assessment [MoCA]) versus slow (< 1 point drop/year on MoCA) cognitive decline in the discovery cohort, testing it in the replication cohort. We developed alternate assays for the top 3 proteins and confirmed their ability to predict cognitive decline - defined by change in MoCA or development of incident mild cognitive impairment (MCI) or dementia - in a validation cohort of 118 individuals with PD. We investigated the top plasma biomarker for causal influence by Mendelian randomization (MR). RESULTS A model with only 3 proteins (melanoma inhibitory activity protein [MIA], C-reactive protein [CRP], and albumin) separated fast versus slow cognitive decline subgroups with an area under the curve (AUC) of 0.80 in the validation cohort. The individuals with PD in the validation cohort in the top quartile of risk for cognitive decline based on this model were 4.4 times more likely to develop incident MCI or dementia than those in the lowest quartile. Genotypes at MIA single nucleotide polymorphism (SNP) rs2233154 associated with MIA levels and cognitive decline, providing evidence for MIA's causal influence. CONCLUSIONS An easily obtained plasma-based predictor identifies individuals with PD at risk for cognitive decline. MIA may participate causally in development of cognitive decline. ANN NEUROL 2022.
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Affiliation(s)
- Junchao Shen
- Departments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Noor Amari
- Departments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Rebecca Zack
- Departments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - R Tyler Skrinak
- Departments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Travis L Unger
- Departments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Marijan Posavi
- Departments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Thomas F Tropea
- Departments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Sharon X Xie
- Departments of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Vivianna M Van Deerlin
- Departments of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Richard B Dewey
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX
| | - Daniel Weintraub
- Departments of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Parkinson's Disease Research, Education and Clinical Center (PADRECC), Philadelphia Veterans Affairs Medical Center, Philadelphia, PA
| | - John Q Trojanowski
- Departments of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Alice S Chen-Plotkin
- Departments of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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Zhao Y, Zhang Y, Zhang J, Yang G. Plasma proteome profiling using tandem mass tag labeling technology reveals potential biomarkers for Parkinson's disease: a preliminary study. Proteomics Clin Appl 2021; 16:e2100010. [PMID: 34791804 DOI: 10.1002/prca.202100010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 10/20/2021] [Accepted: 11/09/2021] [Indexed: 11/08/2022]
Abstract
PURPOSE Parkinson's disease (PD) is the second most frequently occurring progressive neurodegenerative disorder. Biomarkers are useful indicators for tracking disease progression, early diagnosis, and intervention of disease progression. We aimed to develop plasma biomarker panel which maybe aid to predict the onset and progression of PD. EXPERIMENTAL DESIGN Tandem mass tag (TMT) mass spectrometry was applied using an Orbitrap Lumos mass spectrometer to analyze plasma protein expression in patients diagnosed with PD and healthy controls. RESULTS In total, 555 proteins were quantified. Using a cut-off of p < 0.05 and a fold change of >1.2 for the variation in expression, 25 proteins were differentially expressed between the PD and control groups. Sixteen proteins were upregulated and nine were downregulated. Several proteins, including Chitinase-3-like protein 1 (CHI3L1) and thymosin beta-4 (TMSB4X) were implicated in PD pathogenesis. CONCLUSIONS The data from the TMT-based proteomic profiling of plasma samples in PD may help advance the understanding of the molecular mechanisms of PD and identify potential novel biomarkers of PD for further characterization.
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Affiliation(s)
- Yuan Zhao
- Department of Geriatrics, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China
| | - Yidan Zhang
- Department of Geriatrics, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China
| | - Jian Zhang
- Department of Geriatrics, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China
| | - Guofeng Yang
- Department of Geriatrics, Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China
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Yin Z, Cheng X, Wang G, Chen J, Jin Y, Tu Q, Xiang J. SPR immunosensor combined with Ti 4+@TiP nanoparticles for the evaluation of phosphorylated alpha-synuclein level. Mikrochim Acta 2020; 187:509. [PMID: 32833087 DOI: 10.1007/s00604-020-04507-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 08/18/2020] [Indexed: 01/01/2023]
Abstract
A highly sensitive and specific surface plasmon resonance (SPR) method using one anti-alpha-synuclein antibody (anti-αS) and titanium phosphate nanoparticles (Ti4+@TiP) was developed for quantitative evaluation of phosphorylated αS level which was defined by the ratio of p-αS to total alpha-synuclein (t-αS) (p-αS/t-αS). The close affinities of anti-αS to αS (0.975 pM-1) and p-αS (0.938 pM-1) were obtained. Based on this fact , both αS forms were simultaneously captured and the t-αS was quantified using the anti-αS immobilized Au chip. With the selective recognition of Ti4+@TiP nanoparticles, the p-αS was quantified. The dynamic ranges of our method were 1.0~20.0 pg mL-1 for the detection of t-αS and 0.1~10.0 pg mL-1 for that of p-αS. The analysis of αS- and p-αS-spiked artificial cerebrospinal fluid samples revealed the high accuracy of the method. Furthermore, the concentrations of αS and p-αS in clinical CSF samples collected from three healthy donors were determined and displayed a high correlation with the results from a commercial ELISA kit, confirming the viability and of the proposed method. The method is convenient, economical, and practical for the evaluation of phosphorylated αS level with high sensitivity and selectivity. It is of great significance for the early diagnosis of PD and the evaluation of PD progression.Graphical abstract.
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Affiliation(s)
- Zhenzhen Yin
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China
| | - Xiaoli Cheng
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China
| | - Gan Wang
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China
| | - Jia Chen
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China
| | - Yan Jin
- Operation Center, The Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Qiuyun Tu
- Department of Geriatrics, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, 519000, China
| | - Juan Xiang
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, China.
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Lam S, Bayraktar A, Zhang C, Turkez H, Nielsen J, Boren J, Shoaie S, Uhlen M, Mardinoglu A. A systems biology approach for studying neurodegenerative diseases. Drug Discov Today 2020; 25:1146-1159. [PMID: 32442631 DOI: 10.1016/j.drudis.2020.05.010] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 04/13/2020] [Accepted: 05/13/2020] [Indexed: 01/06/2023]
Abstract
Neurodegenerative diseases (NDDs), such as Alzheimer's (AD) and Parkinson's (PD), are among the leading causes of lost years of healthy life and exert a great strain on public healthcare systems. Despite being first described more than a century ago, no effective cure exists for AD or PD. Although extensively characterised at the molecular level, traditional neurodegeneration research remains marred by narrow-sense approaches surrounding amyloid β (Aβ), tau, and α-synuclein (α-syn). A systems biology approach enables the integration of multi-omics data and informs discovery of biomarkers, drug targets, and treatment strategies. Here, we present a comprehensive timeline of high-throughput data collection, and associated biotechnological advancements and computational analysis related to AD and PD. We hereby propose that a philosophical change in the definitions of AD and PD is now needed.
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Affiliation(s)
- Simon Lam
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, UK
| | - Abdulahad Bayraktar
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, UK
| | - Cheng Zhang
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden
| | - Hasan Turkez
- Department of Medical Biology, Faculty of Medicine, Atatürk University, Erzurum, 25240, Turkey
| | - Jens Nielsen
- Department of Biology and Biological Engineering, Chalmers University of Technology, SE-41296, Gothenburg, Sweden
| | - Jan Boren
- Department of Molecular and Clinical Medicine, University of Gothenburg, The Wallenberg Laboratory, Sahlgrenska University Hospital, Gothenburg, SE-413 45, Sweden
| | - Saeed Shoaie
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, UK; Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden
| | - Mathias Uhlen
- Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden
| | - Adil Mardinoglu
- Centre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, SE1 9RT, UK; Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, SE-17121, Sweden.
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Sun S, Hu Y, Ao M, Shah P, Chen J, Yang W, Jia X, Tian Y, Thomas S, Zhang H. N-GlycositeAtlas: a database resource for mass spectrometry-based human N-linked glycoprotein and glycosylation site mapping. Clin Proteomics 2019; 16:35. [PMID: 31516400 PMCID: PMC6731604 DOI: 10.1186/s12014-019-9254-0] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 08/14/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND N-linked glycoprotein is a highly interesting class of proteins for clinical and biological research. The large-scale characterization of N-linked glycoproteins accomplished by mass spectrometry-based glycoproteomics has provided valuable insights into the interdependence of glycoprotein structure and protein function. However, these studies focused mainly on the analysis of specific sample type, and lack the integration of glycoproteomic data from different tissues, body fluids or cell types. METHODS In this study, we collected the human glycosite-containing peptides identified through their de-glycosylated forms by mass spectrometry from over 100 publications and unpublished datasets generated from our laboratory. A database resource termed N-GlycositeAtlas was created and further used for the distribution analyses of glycoproteins among different human cells, tissues and body fluids. Finally, a web interface of N-GlycositeAtlas was created to maximize the utility and value of the database. RESULTS The N-GlycositeAtlas database contains more than 30,000 glycosite-containing peptides (representing > 14,000 N-glycosylation sites) from more than 7200 N-glycoproteins from different biological sources including human-derived tissues, body fluids and cell lines from over 100 studies. CONCLUSIONS The entire human N-glycoproteome database as well as 22 sub-databases associated with individual tissues or body fluids can be downloaded from the N-GlycositeAtlas website at http://nglycositeatlas.biomarkercenter.org.
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Affiliation(s)
- Shisheng Sun
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA
- College of Life Science, Northwest University, Xi’an, 710069 Shaanxi China
| | - Yingwei Hu
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA
| | - Minghui Ao
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA
| | - Punit Shah
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA
| | - Jing Chen
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA
| | - Weiming Yang
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA
| | - Xingwang Jia
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA
| | - Yuan Tian
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA
| | - Stefani Thomas
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA
| | - Hui Zhang
- Department of Pathology, Johns Hopkins University, Baltimore, MD 21287 USA
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Proteomics in Human Parkinson’s Disease: Present Scenario and Future Directions. Cell Mol Neurobiol 2019; 39:901-915. [DOI: 10.1007/s10571-019-00700-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 06/04/2019] [Indexed: 12/26/2022]
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Kontostathi G, Makridakis M, Zoidakis J, Vlahou A. Applications of multiple reaction monitoring targeted proteomics assays in human plasma. Expert Rev Mol Diagn 2019; 19:499-515. [PMID: 31057016 DOI: 10.1080/14737159.2019.1615448] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Introduction: Multiple (or selected) reaction monitoring-mass spectrometry (MRM/SRM) is a targeted proteomic method that can be used for relative and absolute quantification. Multiple reports exist supporting the potential of the approach in proteomic biomarker validation. Areas covered: To get an overview of the applications of MRM in protein quantification in plasma, a search in MedLine/PubMed was performed using the keywords: 'MRM/SRM plasma proteomic/proteomics/proteome'. The retrieved studies were further filtered to focus on disease biomarkers and the main results are summarized. Expert opinion: MRM is increasingly employed for the quantification of both well-established but also newly discovered putative biomarkers and occasionally their post-translationally modified forms in plasma. Fractionation is regularly required for the detection of low abundance proteins. Standardized procedures to facilitate assay establishment and marker quantification have been proposed and, in few cases, implemented. Nevertheless, in most cases, absolute quantification is not performed. To advance, multiple technical issues including the regular use of standard labeled peptides and appropriate quality controls to monitor assay performance should be considered. Additionally, clinical aspects involving careful study design to address biomarker clinical use should also be considered.
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Affiliation(s)
- Georgia Kontostathi
- a Biotechnology Division , Biomedical Research Foundation, Academy of Athens (BRFAA) , Athens , Greece
| | - Manousos Makridakis
- a Biotechnology Division , Biomedical Research Foundation, Academy of Athens (BRFAA) , Athens , Greece
| | - Jerome Zoidakis
- a Biotechnology Division , Biomedical Research Foundation, Academy of Athens (BRFAA) , Athens , Greece
| | - Antonia Vlahou
- a Biotechnology Division , Biomedical Research Foundation, Academy of Athens (BRFAA) , Athens , Greece
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Hamid Z, Basit A, Pontis S, Piras F, Assogna F, Bossù P, Pontieri FE, Stefani A, Spalletta G, Franceschi P, Reggiani A, Armirotti A. Gender specific decrease of a set of circulating N-acylphosphatidyl ethanolamines (NAPEs) in the plasma of Parkinson's disease patients. Metabolomics 2019; 15:74. [PMID: 31053995 PMCID: PMC6499742 DOI: 10.1007/s11306-019-1536-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 04/25/2019] [Indexed: 11/11/2022]
Abstract
INTRODUCTION Current markers of Parkinson's disease (PD) fail to detect the early progression of disease state. Conversely, current omics techniques allow the investigation of hundreds of molecules potentially altered by disease conditions. Based on evidence previously collected by our group in a mouse model of PD, we speculated that a particular set of circulating lipids might be significantly altered by the pathology. OBJECTIVES The aim of current study was to evaluate the potential of a particular set of N-acyl-phosphatidylethanolamines (NAPEs) as potential non-invasive plasma markers of ongoing neurodegeneration from Parkinson's disease in human subjects. METHODS A panel of seven NAPEs were quantified by LC-MS/MS in the plasma of 587 individuals (healthy controls, n = 319; Parkinson's disease, n = 268); Random Forest classification and statistical modeling was applied to compare Parkinson's disease versus controls. All p-values obtained in different tests were corrected for multiplicity by controlling the false discovery rate (FDR). RESULTS The results indicate that this panel of NAPEs is able to distinguish female PD patients from the corresponding healthy controls. Further to this, the observed downregulation of these NAPEs is in line with the results in plasma of a mouse model of Parkinson's (6-OHDA). CONCLUSIONS In the current study we have shown the downregulation of NAPEs in plasma of PD patients and we thus speculate that these lipids might serve as candidate biomarkers for PD. We also suggest a molecular mechanism, explaining our findings, which involves gut microbiota.
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Affiliation(s)
- Zeeshan Hamid
- D3Validation, Fondazione Istituto Italiano di Tecnologia, via Morego 30, 16163, Genoa, Italy
- Scuola Superiore Sant'Anna, via Piazza Martiri della Libertà, 33, 56127, Pisa, Italy
| | - Abdul Basit
- D3Validation, Fondazione Istituto Italiano di Tecnologia, via Morego 30, 16163, Genoa, Italy
| | - Silvia Pontis
- D3Validation, Fondazione Istituto Italiano di Tecnologia, via Morego 30, 16163, Genoa, Italy
| | - Fabrizio Piras
- Laboratorio di Neuropsichiatria, IRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy
| | - Francesca Assogna
- Laboratorio di Neuropsichiatria, IRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy
| | - Paola Bossù
- Laboratorio di Neuropsichiatria, IRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy
| | - Francesco Ernesto Pontieri
- Laboratorio di Neuropsichiatria, IRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy
- Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University, Via di Grottarossa 1035, 00189, Rome, Italy
| | - Alessandro Stefani
- Department of Medicine of Systems, Tor Vergata University, Viale Oxford 81, 00133, Rome, Italy
| | - Gianfranco Spalletta
- Laboratorio di Neuropsichiatria, IRCCS Fondazione Santa Lucia, Via Ardeatina, 306, 00179, Rome, Italy
| | - Pietro Franceschi
- Computational Biology Unit, Research and Innovation Centre, Fondazione Edmund Mach, Via E. Mach 1, San Michele all'Adige, TN, Italy
| | - Angelo Reggiani
- D3Validation, Fondazione Istituto Italiano di Tecnologia, via Morego 30, 16163, Genoa, Italy
| | - Andrea Armirotti
- Analytical Chemistry Lab, Fondazione Istituto Italiano di Tecnologia, via Morego 30, 16163, Genoa, Italy.
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11
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Dang L, Jia L, Zhi Y, Li P, Zhao T, Zhu B, Lan R, Hu Y, Zhang H, Sun S. Mapping human N-linked glycoproteins and glycosylation sites using mass spectrometry. Trends Analyt Chem 2019; 114:143-150. [PMID: 31831916 PMCID: PMC6907083 DOI: 10.1016/j.trac.2019.02.009] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
N-linked glycoprotein is a highly interesting class of proteins for clinical and biological research. Over the last decade, large-scale profiling of N-linked glycoproteins and glycosylation sites from biological and clinical samples has been achieved through mass spectrometry-based glycoproteomic approaches. In this paper, we reviewed the human glycoproteomic profiles that have been reported in more than 80 individual studies, and mainly focused on the N-glycoproteins and glycosylation sites identified through their deglycosylated forms of glycosite-containing peptides. According to our analyses, more than 30,000 glycosite-containing peptides and 7,000 human glycoproteins have been identified from five different body fluids, twelve human tissues (or related cell lines), and four special cell types. As the glycoproteomic data is still missing for many organs and tissues, a systematical glycoproteomic analysis of various human tissues and body fluids using a uniform platform is still needed for an integrated map of human N-glycoproteomes.
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Affiliation(s)
- Liuyi Dang
- College of Life Sciences, Northwest University, Xi’an, Shaanxi province 710069, China
| | - Li Jia
- College of Life Sciences, Northwest University, Xi’an, Shaanxi province 710069, China
| | - Yuan Zhi
- College of Life Sciences, Northwest University, Xi’an, Shaanxi province 710069, China
| | - Pengfei Li
- College of Life Sciences, Northwest University, Xi’an, Shaanxi province 710069, China
| | - Ting Zhao
- College of Life Sciences, Northwest University, Xi’an, Shaanxi province 710069, China
| | - Bojing Zhu
- College of Life Sciences, Northwest University, Xi’an, Shaanxi province 710069, China
| | - Rongxia Lan
- College of Life Sciences, Northwest University, Xi’an, Shaanxi province 710069, China
| | - Yingwei Hu
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland 21287, USA
| | - Hui Zhang
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland 21287, USA
| | - Shisheng Sun
- College of Life Sciences, Northwest University, Xi’an, Shaanxi province 710069, China
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12
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Using Next-Generation Sequencing Transcriptomics To Determine Markers of Post-traumatic Symptoms: Preliminary Findings from a Post-deployment Cohort of Soldiers. G3-GENES GENOMES GENETICS 2019; 9:463-471. [PMID: 30622122 PMCID: PMC6385974 DOI: 10.1534/g3.118.200516] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Post-traumatic stress disorder is a concerning psychobehavioral disorder thought to emerge from the complex interaction between genetic and environmental factors. For soldiers exposed to combat, the risk of developing this disorder is twofold and diagnosis is often late, when much sequela has set in. To be able to identify and diagnose in advance those at “risk” of developing post-traumatic stress disorder, would greatly taper the gap between late sequelae and treatment. Therefore, this study sought to determine whether the transcriptome can be used to track the development of post-traumatic stress disorder in this unique and susceptible cohort of individuals. Gene expression levels in peripheral blood samples from 85 Canadian infantry soldiers (n = 58 participants negative for symptoms of post-traumatic stress disorder and n = 27 participants with symptoms of post-traumatic stress disorder) following return from deployment to Afghanistan were determined using RNA sequencing technology. Count-based gene expression quantification, normalization and differential analysis (with thorough correction for confounders) revealed genes associated to PTSD; LRP8 and GOLM1. These preliminary results provide a proof-of-principle for the diagnostic utility of blood-based gene expression profiles for tracking symptoms of post-traumatic stress disorder in soldiers returning from tour. It is also the first to report transcriptome-wide expression profiles alongside a post-traumatic symptom checklist.
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13
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Cilento EM, Jin L, Stewart T, Shi M, Sheng L, Zhang J. Mass spectrometry: A platform for biomarker discovery and validation for Alzheimer's and Parkinson's diseases. J Neurochem 2019; 151:397-416. [PMID: 30474862 DOI: 10.1111/jnc.14635] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 11/15/2018] [Accepted: 11/19/2018] [Indexed: 12/16/2022]
Abstract
Accurate, reliable, and objective biomarkers for Alzheimer's disease (AD), Parkinson's disease (PD), and related age-associated neurodegenerative disorders are urgently needed to assist in both diagnosis, particularly at early stages, and monitoring of disease progression. Technological advancements in protein detection platforms over the last few decades have resulted in a plethora of reported molecular biomarker candidates for both AD and PD; however, very few of these candidates are developed beyond the discovery phase of the biomarker development pipeline, a reflection of the current bottleneck within the field. In this review, the expanded use of selected reaction monitoring (SRM) targeted mass spectrometry will be discussed in detail as a platform for systematic verification of large panels of protein biomarker candidates prior to costly validation testing. We also advocate for the coupling of discovery-based proteomics with modern targeted MS-based approaches (e.g., SRM) within a single study in future workflows to expedite biomarker development and validation for AD and PD. It is our hope that improving the efficiency within the biomarker development process by use of an SRM pipeline may ultimately hasten the development of biomarkers that both decrease misdiagnosis of AD and PD and ultimately lead to detection at early stages of disease and objective assessment of disease progression. This article is part of the special issue "Proteomics".
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Affiliation(s)
- Eugene M Cilento
- Department of Pathology, University of Washington, School of Medicine, Seattle, Washington, USA
| | - Lorrain Jin
- Department of Pathology, University of Washington, School of Medicine, Seattle, Washington, USA
| | - Tessandra Stewart
- Department of Pathology, University of Washington, School of Medicine, Seattle, Washington, USA
| | - Min Shi
- Department of Pathology, University of Washington, School of Medicine, Seattle, Washington, USA
| | - Lifu Sheng
- Department of Pathology, University of Washington, School of Medicine, Seattle, Washington, USA
| | - Jing Zhang
- Department of Pathology, University of Washington, School of Medicine, Seattle, Washington, USA.,Department of Pathology, School of Basic Medicine, Peking University Health Science Center, Peking University Third Hospital and Peking Key Laboratory for Early Diagnosis of Neurodegenerative Disorders, Beijing, China
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14
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Nery TGM, Silva EM, Tavares R, Passetti F. The Challenge to Search for New Nervous System Disease Biomarker Candidates: the Opportunity to Use the Proteogenomics Approach. J Mol Neurosci 2018; 67:150-164. [PMID: 30554402 DOI: 10.1007/s12031-018-1220-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 11/18/2018] [Indexed: 12/14/2022]
Abstract
Alzheimer's disease, Parkinson's disease, prion diseases, schizophrenia, and multiple sclerosis are the most common nervous system diseases, affecting millions of people worldwide. The current scientific literature associates these pathological conditions to abnormal expression levels of certain proteins, which in turn improved the knowledge concerning normal and affected brains. However, there is no available cure or preventive therapy for any of these disorders. Proteogenomics is a recent approach defined as the data integration of both nucleotide high-throughput sequencing and protein mass spectrometry technologies. In the last years, proteogenomics studies in distinct diseases have emerged as a strategy for the identification of uncharacterized proteoforms, which are all the different protein forms derived from a single gene. For many of these diseases, at least one protein used as biomarker presents more than one proteoform, which fosters the analysis of publicly available data focusing proteoforms. Given this context, we describe the most important biomarkers for each neurodegenerative disease and how genomics, transcriptomics, and proteomics separately contributed to unveil them. Finally, we present a selection of proteogenomics studies in which the combination of nucleotide and proteome high-throughput data, from cell lines or brain tissue samples, is used to uncover proteoforms not previously described. We believe that this new approach may improve our knowledge about nervous system diseases and brain function and an opportunity to identify new biomarker candidates.
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Affiliation(s)
- Thais Guimarães Martins Nery
- Laboratory of Functional Genomics and Bioinformatics, Oswaldo Cruz Institute, Fundação Oswaldo Cruz (Fiocruz), Manguinhos, Rio de Janeiro, Brazil
- Laboratory of Gene Expression Regulation, Carlos Chagas Institute, Fundação Oswaldo Cruz (Fiocruz), Curitiba, Brazil
| | - Esdras Matheus Silva
- Laboratory of Functional Genomics and Bioinformatics, Oswaldo Cruz Institute, Fundação Oswaldo Cruz (Fiocruz), Manguinhos, Rio de Janeiro, Brazil
- Laboratory of Gene Expression Regulation, Carlos Chagas Institute, Fundação Oswaldo Cruz (Fiocruz), Curitiba, Brazil
| | - Raphael Tavares
- Departamento de Bioquímica e Imunologia, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Minas Gerais, Brazil
| | - Fabio Passetti
- Laboratory of Functional Genomics and Bioinformatics, Oswaldo Cruz Institute, Fundação Oswaldo Cruz (Fiocruz), Manguinhos, Rio de Janeiro, Brazil.
- Laboratory of Gene Expression Regulation, Carlos Chagas Institute, Fundação Oswaldo Cruz (Fiocruz), Curitiba, Brazil.
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15
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Long-term moderate exercise enhances specific proteins that constitute neurotrophin signaling pathway: A TMT-based quantitative proteomic analysis of rat plasma. J Proteomics 2018; 185:39-50. [PMID: 29953961 DOI: 10.1016/j.jprot.2018.06.017] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 06/15/2018] [Accepted: 06/17/2018] [Indexed: 12/15/2022]
Abstract
Physical exercise has been reported to increase neurotrophin in brain tissues as hippocampus as well as increased neurotrophic level peripherally in blood plasma and might have an effect on/or affect molecular processes of energy metabolism (and homeostasis). In this study, using quantitative proteomic analysis, we obtained a plasma protein profile from the rat with long-term moderate exercise. A total of 752 proteins were identified in the plasma. Among them, 54 proteins were significant up-regulated and 47 proteins were down-regulated in the plasma of exercise group compared with the control group. Bioinformatic analyses showed that these altered proteins are widely involved in multiple biological processes, molecular functions and cellular components, which connect with 11 signaling pathways. Interestingly, 5 up-regulated proteins Rap1b, PTPN11, ARHGDIA, Cdc42 and YWHAE, confirmed by Western blots, are involved in the neurotrophin signaling pathway which shows the lowest P value among the identified pathways. Further analyses showed that the 5 neurotrophin-signaling-pathway-related proteins participate in two important protein-protein interaction networks associated to cell survival and apoptosis, axonal development, synapse formation and plasticity. This study provides an exercise-induced plasma protein profile, suggesting that long-term exercise enhances the proteins involved in neurotrophin signaling pathway which may contribute to health benefit. SIGNIFICANCE Physical activity contributes to myriad benefits on body health across the lifespan. The changes in plasma proteins after chronic moderate exercise may be used as biomarkers for health and may also play important roles in increase of cardiovascular fitness, enhancement of immune competence, prevention of obesity, decrease of risk for neurological disorders, cancer, stroke, diabetes and other metabolic disorders. Using a TMT-based proteomic method, this study identified 101 altered proteins in the plasma of rats after long-term moderate treadmill running, which may provide novel biomarkers for further investigation of the underlying mechanism of physical exercise. We confirmed that exercise enhances 5 proteins of the neurotrophin signaling pathway that may contribute to health benefits.
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16
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Sun S, Hu Y, Jia L, Eshghi ST, Liu Y, Shah P, Zhang H. Site-Specific Profiling of Serum Glycoproteins Using N-Linked Glycan and Glycosite Analysis Revealing Atypical N-Glycosylation Sites on Albumin and α-1B-Glycoprotein. Anal Chem 2018; 90:6292-6299. [PMID: 29671580 PMCID: PMC6467210 DOI: 10.1021/acs.analchem.8b01051] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Most serum proteins are N-linked glycosylated, and therefore the glycoproteomic profiling of serum is essential for characterization of serum proteins. In this study, we profiled serum N-glycoproteome by our recently developed N-glycoproteomic method using solid-phase extraction of N-linked glycans and glycosite-containing peptides (NGAG) coupled with LC-MS/MS and site-specific glycosylation analysis using GPQuest software. Our data indicated that half of identified N-glycosites were modified by at least two glycans, with a majority of them being sialylated. Specifically, 3/4 of glycosites were modified by biantennary N-glycans and 1/3 of glycosites were modified by triantennary sialylated N-glycans. In addition, two novel atypical glycosites (with N-X-V motif) were identified and validated from albumin and α-1B-glycoprotein. The widespread presence of these two glycosites among individuals was further confirmed by individual serum analyses.
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Affiliation(s)
- Shisheng Sun
- College of Life Science, Northwest University, Xi’an, Shaanxi Province 710069, China
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland 21287, United States
| | - Yingwei Hu
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland 21287, United States
| | - Li Jia
- College of Life Science, Northwest University, Xi’an, Shaanxi Province 710069, China
| | - Shadi Toghi Eshghi
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland 21287, United States
| | - Yang Liu
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland 21287, United States
| | - Punit Shah
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland 21287, United States
| | - Hui Zhang
- Department of Pathology, Johns Hopkins University, Baltimore, Maryland 21287, United States
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17
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Yang JS, Qiao J, Kim JY, Zhao L, Qi L, Moon MH. Online Proteolysis and Glycopeptide Enrichment with Thermoresponsive Porous Polymer Membrane Reactors for Nanoflow Liquid Chromatography-Tandem Mass Spectrometry. Anal Chem 2018; 90:3124-3131. [DOI: 10.1021/acs.analchem.7b04273] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Joon Seon Yang
- Department of Chemistry, Yonsei University, 50 Yonsei-Ro, Seoul 03722, South Korea
| | - Juan Qiao
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, No. 2 Zhongguancun Beiyijie, Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, P. R. China
| | - Jin Yong Kim
- Department of Chemistry, Yonsei University, 50 Yonsei-Ro, Seoul 03722, South Korea
| | - Liping Zhao
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, No. 2 Zhongguancun Beiyijie, Beijing 100190, P. R. China
- College of Chemistry & Environmental Science, Hebei University, No. 180 Wusidong Road, Baoding 071002, P. R. China
| | - Li Qi
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, No. 2 Zhongguancun Beiyijie, Beijing 100190, P. R. China
- University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, P. R. China
| | - Myeong Hee Moon
- Department of Chemistry, Yonsei University, 50 Yonsei-Ro, Seoul 03722, South Korea
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18
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Abstract
Parkinson disease (PD) is a progressive neurodegenerative disease that affects one million people in the United States. This article reviews the etiology and pathophysiology of PD, risk factors, clinical manifestations, diagnostic criteria, and treatment of this common disease. Implications for home care clinicians are included.
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19
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Duriez E, Masselon CD, Mesmin C, Court M, Demeure K, Allory Y, Malats N, Matondo M, Radvanyi F, Garin J, Domon B. Large-Scale SRM Screen of Urothelial Bladder Cancer Candidate Biomarkers in Urine. J Proteome Res 2017; 16:1617-1631. [PMID: 28287737 DOI: 10.1021/acs.jproteome.6b00979] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Urothelial bladder cancer is a condition associated with high recurrence and substantial morbidity and mortality. Noninvasive urinary tests that would detect bladder cancer and tumor recurrence are required to significantly improve patient care. Over the past decade, numerous bladder cancer candidate biomarkers have been identified in the context of extensive proteomics or transcriptomics studies. To translate these findings in clinically useful biomarkers, the systematic evaluation of these candidates remains the bottleneck. Such evaluation involves large-scale quantitative LC-SRM (liquid chromatography-selected reaction monitoring) measurements, targeting hundreds of signature peptides by monitoring thousands of transitions in a single analysis. The design of highly multiplexed SRM analyses is driven by several factors: throughput, robustness, selectivity and sensitivity. Because of the complexity of the samples to be analyzed, some measurements (transitions) can be interfered by coeluting isobaric species resulting in biased or inconsistent estimated peptide/protein levels. Thus the assessment of the quality of SRM data is critical to allow flagging these inconsistent data. We describe an efficient and robust method to process large SRM data sets, including the processing of the raw data, the detection of low-quality measurements, the normalization of the signals for each protein, and the estimation of protein levels. Using this methodology, a variety of proteins previously associated with bladder cancer have been assessed through the analysis of urine samples from a large cohort of cancer patients and corresponding controls in an effort to establish a priority list of most promising candidates to guide subsequent clinical validation studies.
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Affiliation(s)
- Elodie Duriez
- Genomics and Proteomics Research Unit, Department of Oncology, Luxembourg Institute of Health , 1 A-B rue Thomas Edison, L-1445 Strassen, Luxembourg
| | - Christophe D Masselon
- Univ. Grenoble Alpes , BIG-BGE, F-38000 Grenoble, France.,CEA , BIG-BGE, F-38000 Grenoble, France.,INSERM , BGE, F-38000 Grenoble, France
| | - Cédric Mesmin
- Genomics and Proteomics Research Unit, Department of Oncology, Luxembourg Institute of Health , 1 A-B rue Thomas Edison, L-1445 Strassen, Luxembourg
| | - Magali Court
- Univ. Grenoble Alpes , BIG-BGE, F-38000 Grenoble, France.,CEA , BIG-BGE, F-38000 Grenoble, France.,INSERM , BGE, F-38000 Grenoble, France
| | - Kevin Demeure
- NorLux Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health (LIH) , Luxembourg L-1526, Luxembourg
| | | | - Núria Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO) , Madrid 28029, Spain
| | - Mariette Matondo
- Department of Biology, Institute of Molecular Systems Biology, ETHZ , Zürich 8093, Switzerland
| | - François Radvanyi
- Institut Curie , Centre de Recherche, Paris 75005, France.,CNRS, UMR144, Equipe Oncologie Moléculaire , Paris 75248, France
| | - Jérôme Garin
- Univ. Grenoble Alpes , BIG-BGE, F-38000 Grenoble, France.,CEA , BIG-BGE, F-38000 Grenoble, France.,INSERM , BGE, F-38000 Grenoble, France
| | - Bruno Domon
- Genomics and Proteomics Research Unit, Department of Oncology, Luxembourg Institute of Health , 1 A-B rue Thomas Edison, L-1445 Strassen, Luxembourg
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20
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Recent developments in circulating biomarkers in Parkinson’s disease: the potential use of miRNAs in a clinical setting. Bioanalysis 2016; 8:2497-2518. [DOI: 10.4155/bio-2016-0166] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Parkinson’s disease (PD) is the second most common neurodegenerative disorder, affecting 5% of the elderly population. PD diagnosis is still based on the identification of neuromotor symptoms although nonmotor manifestations emerge years prior to diagnosis. The discovery of biomarkers at the earliest stages of PD is of extreme interest. miRNAs have been considered potential biomarkers for neurodegenerative diseases, but only a limited number have been found to be PD related. This review focuses on the current findings in the field of circulating miRNAs in PD and the challenges surrounding clinical utility and validation. We briefly describe the more established circulating biomarkers in PD and provide a more thorough review of miRNAs differentially expressed in PD. We highlight their potential for being considered as biomarkers for diagnosis while emphasizing the challenges for adequate validation of the findings and how miRNAs can be envisioned in a clinical setting satisfying regulatory bodies.
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21
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Shi T, Song E, Nie S, Rodland KD, Liu T, Qian WJ, Smith RD. Advances in targeted proteomics and applications to biomedical research. Proteomics 2016; 16:2160-82. [PMID: 27302376 PMCID: PMC5051956 DOI: 10.1002/pmic.201500449] [Citation(s) in RCA: 145] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2015] [Revised: 05/09/2016] [Accepted: 06/10/2016] [Indexed: 12/17/2022]
Abstract
Targeted proteomics technique has emerged as a powerful protein quantification tool in systems biology, biomedical research, and increasing for clinical applications. The most widely used targeted proteomics approach, selected reaction monitoring (SRM), also known as multiple reaction monitoring (MRM), can be used for quantification of cellular signaling networks and preclinical verification of candidate protein biomarkers. As an extension to our previous review on advances in SRM sensitivity (Shi et al., Proteomics, 12, 1074-1092, 2012) herein we review recent advances in the method and technology for further enhancing SRM sensitivity (from 2012 to present), and highlighting its broad biomedical applications in human bodily fluids, tissue and cell lines. Furthermore, we also review two recently introduced targeted proteomics approaches, parallel reaction monitoring (PRM) and data-independent acquisition (DIA) with targeted data extraction on fast scanning high-resolution accurate-mass (HR/AM) instruments. Such HR/AM targeted quantification with monitoring all target product ions addresses SRM limitations effectively in specificity and multiplexing; whereas when compared to SRM, PRM and DIA are still in the infancy with a limited number of applications. Thus, for HR/AM targeted quantification we focus our discussion on method development, data processing and analysis, and its advantages and limitations in targeted proteomics. Finally, general perspectives on the potential of achieving both high sensitivity and high sample throughput for large-scale quantification of hundreds of target proteins are discussed.
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Affiliation(s)
- Tujin Shi
- Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Ehwang Song
- Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Song Nie
- Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Karin D Rodland
- Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Tao Liu
- Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Wei-Jun Qian
- Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Richard D Smith
- Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
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22
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Percy AJ, Byrns S, Pennington SR, Holmes DT, Anderson NL, Agreste TM, Duffy MA. Clinical translation of MS-based, quantitative plasma proteomics: status, challenges, requirements, and potential. Expert Rev Proteomics 2016; 13:673-84. [DOI: 10.1080/14789450.2016.1205950] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Affiliation(s)
- Andrew J. Percy
- Department of Applications Development, Cambridge Isotope Laboratories, Inc., Tewksbury, MA, USA
| | - Simon Byrns
- Department of Surgery, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada
| | - Stephen R. Pennington
- Department of Pathology, School of Medicine, UCD Conway Institute, University College Dublin, Dublin 4, Ireland
| | - Daniel T. Holmes
- Department of Pathology and Laboratory Medicine, St. Paul’s Hospital, Vancouver, BC, Canada
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada
| | - N. Leigh Anderson
- Department of Clinical Biomarkers, SISCAPA Assay Technologies, Inc., Washington, DC, USA
| | - Tasha M. Agreste
- Department of Applications Development, Cambridge Isotope Laboratories, Inc., Tewksbury, MA, USA
| | - Maureen A. Duffy
- Department of Applications Development, Cambridge Isotope Laboratories, Inc., Tewksbury, MA, USA
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23
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Network and Pathway-Based Analyses of Genes Associated with Parkinson's Disease. Mol Neurobiol 2016; 54:4452-4465. [PMID: 27349437 DOI: 10.1007/s12035-016-9998-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2016] [Accepted: 06/14/2016] [Indexed: 01/08/2023]
Abstract
Parkinson's disease (PD) is a major neurodegenerative disease influenced by both genetic and environmental factors. Although previous studies have provided insights into the significant impacts of genetic factors on PD, the molecular mechanism underlying PD remains largely unclear. Under such situation, a comprehensive analysis focusing on biological function and interactions of PD-related genes will provide us valuable information to understand the pathogenesis of PD. In the current study, by reviewing the literatures deposited in PUBMED, we identified 242 genes genetically associated with PD, referred to as PD-related genes gene set (PDgset). Functional analysis revealed that biological processes and biochemical pathways related to neurodevelopment, metabolism, and immune system were enriched in PDgset. Then, pathway crosstalk analysis indicated that the enriched pathways could be grouped into two modules, with one module consisted of pathways mainly involved in neuronal signaling and another in immune response. Further, based on a global human interactome, we found that PDgset tended to have more moderate degree compared with cancer-related genes. Moreover, PD-specific molecular network was inferred using Steiner minimal tree algorithm and some potential related genes associated with PD were identified. In summary, by using network- and pathway-based methods to explore pathogenetic mechanism underlying PD, results from our work may have important implications for understanding the molecular mechanism underlying PD. Also, the framework proposed in our current work can be used to infer pathological molecular network and genes related to a specific disease.
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24
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Heywood WE, Galimberti D, Bliss E, Sirka E, Paterson RW, Magdalinou NK, Carecchio M, Reid E, Heslegrave A, Fenoglio C, Scarpini E, Schott JM, Fox NC, Hardy J, Bhatia K, Bahtia K, Heales S, Sebire NJ, Zetterberg H, Zetterburg H, Mills K. Identification of novel CSF biomarkers for neurodegeneration and their validation by a high-throughput multiplexed targeted proteomic assay. Mol Neurodegener 2015; 10:64. [PMID: 26627638 PMCID: PMC4666172 DOI: 10.1186/s13024-015-0059-y] [Citation(s) in RCA: 103] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2015] [Accepted: 11/15/2015] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Currently there are no effective treatments for many neurodegenerative diseases. Reliable biomarkers for identifying and stratifying these diseases will be important in the development of future novel therapies. Lewy Body Dementia (LBD) is considered an under diagnosed form of dementia for which markers are needed to discriminate LBD from other forms of dementia such as Alzheimer's Disease (AD). This work describes a Label-Free proteomic profiling analysis of cerebral spinal fluid (CSF) from non-neurodegenerative controls and patients with LBD. Using this technology we identified several potential novel markers for LBD. These were then combined with other biomarkers from previously published studies, to create a 10 min multiplexed targeted and translational MRM-LC-MS/MS assay. This test was used to validate our new assay in a larger cohort of samples including controls and the other neurodegenerative conditions of Alzheimer's and Parkinson's disease (PD). RESULTS Thirty eight proteins showed significantly (p < 0.05) altered expression in LBD CSF by proteomic profiling. The targeted MRM-LC-MS/MS assay revealed 4 proteins that were specific for the identification of AD from LBD: ectonucleotide pyrophosphatase/phosphodiesterase 2 (p < 0.0001), lysosome-associated membrane protein 1 (p < 0.0001), pro-orexin (p < 0.0017) and transthyretin (p < 0.0001). Nineteen proteins were elevated significantly in both AD and LBD versus the control group of which 4 proteins are novel (malate dehydrogenase 1, serum amyloid A4, GM2-activator protein, and prosaposin). Protein-DJ1 was only elevated significantly in the PD group and not in either LBD or AD samples. Correlations with Alzheimer-associated amyloid β-42 levels, determined by ELISA, were observed for transthyretin, GM2 activator protein and IGF2 in the AD disease group (r(2) ≥ 0.39, p ≤ 0.012). Cystatin C, ubiquitin and osteopontin showed a strong significant linear relationship (r(2) ≥ 0.4, p ≤ 0.03) with phosphorylated-tau levels in all groups, whilst malate dehydrogenase and apolipoprotein E demonstrated a linear relationship with phosphorylated-tau and total-tau levels in only AD and LBD disease groups. CONCLUSIONS Using proteomics we have identified several potential and novel markers of neurodegeneration and subsequently validated them using a rapid, multiplexed mass spectral test. This targeted proteomic platform can measure common markers of neurodegeneration that correlate with existing diagnostic makers as well as some that have potential to show changes between AD from LBD.
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Affiliation(s)
- Wendy E Heywood
- Centre for Translational Omics, University College London Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK. .,Neuropediatrics Unit, IRCCS Istituto Neurologico Carlo Besta, Milan, 20133, Italy.
| | - Daniela Galimberti
- Neurology Unit, Department of Pathophysiology and Transplantation, University of Milan, Fondazione Cà Granda, IRCCS Ospedale Policlinico, Via F.Sforza 35, 20122, Milan, Italy.
| | - Emily Bliss
- Centre for Translational Omics, University College London Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
| | - Ernestas Sirka
- Centre for Translational Omics, University College London Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
| | - Ross W Paterson
- Dementia Research Centre, University College London Institute of Neurology, London, UK.
| | - Nadia K Magdalinou
- Reta Lila Weston Institute of Neurological Studies, UCL Institute of Neurology, Queen Square, London, UK.
| | - Miryam Carecchio
- Neuropediatrics Unit, IRCCS Istituto Neurologico Carlo Besta, Milan, 20133, Italy.
| | - Emma Reid
- Centre for Translational Omics, University College London Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
| | - Amanda Heslegrave
- Dementia Research Centre, University College London Institute of Neurology, London, UK.
| | - Chiara Fenoglio
- Neurology Unit, Department of Pathophysiology and Transplantation, University of Milan, Fondazione Cà Granda, IRCCS Ospedale Policlinico, Via F.Sforza 35, 20122, Milan, Italy.
| | - Elio Scarpini
- Neurology Unit, Department of Pathophysiology and Transplantation, University of Milan, Fondazione Cà Granda, IRCCS Ospedale Policlinico, Via F.Sforza 35, 20122, Milan, Italy.
| | - Jonathan M Schott
- Dementia Research Centre, University College London Institute of Neurology, London, UK.
| | - Nick C Fox
- Dementia Research Centre, University College London Institute of Neurology, London, UK.
| | - John Hardy
- Dementia Research Centre, University College London Institute of Neurology, London, UK.
| | - Kailiash Bhatia
- Dementia Research Centre, University College London Institute of Neurology, London, UK.
| | - Kailash Bahtia
- Dementia Research Centre, University College London Institute of Neurology, London, UK.
| | - Simon Heales
- Centre for Translational Omics, University College London Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK. .,Great Ormond Street Hospital for Children, London, WC1N 3JH, UK.
| | - Neil J Sebire
- Great Ormond Street Hospital for Children, London, WC1N 3JH, UK.
| | - Henrik Zetterberg
- Dementia Research Centre, University College London Institute of Neurology, London, UK.
| | - Henrik Zetterburg
- Dementia Research Centre, University College London Institute of Neurology, London, UK. .,Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy, University of Gothenburg, 431 80, Mölndal, Sweden.
| | - Kevin Mills
- Centre for Translational Omics, University College London Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK. .,Great Ormond Street Hospital for Children, London, WC1N 3JH, UK.
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25
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Robotham SA, Brodbelt JS. Comparison of Ultraviolet Photodissociation and Collision Induced Dissociation of Adrenocorticotropic Hormone Peptides. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2015; 26:1570-9. [PMID: 26122515 DOI: 10.1007/s13361-015-1186-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2015] [Revised: 04/19/2015] [Accepted: 05/10/2015] [Indexed: 05/16/2023]
Abstract
In an effort to better characterize the fragmentation pathways promoted by ultraviolet photoexcitation in comparison to collision induced dissociation (CID), six adrenocorticotropic hormone (ACTH) peptides in a range of charge states were subjected to 266 nm ultraviolet photodissociation (UVPD), 193 nm UVPD, and CID. Similar fragment ions and distributions were observed for 266 nm UVPD and 193 nm UVPD for all peptides investigated. While both UVPD and CID led to preferential cleavage of the Y-S bond for all ACTH peptides [except ACTH (1-39)], UVPD was far less dependent on charge state and location of basic sites for the production of C-terminal and N-terminal ions. For ACTH (1-16), ACTH (1-17), ACTH (1-24), and ACTH (1-39), changes in the distributions of fragment ion types (a, b, c, x, y, z, and collectively N-terminal ions versus C-terminal ions) showed only minor changes upon UVPD for all charge states. In contrast, CID displayed significant changes in the fragment ion type distributions as a function of charge state, an outcome consistent with the dependence on the number and location of mobile protons that is not prominent for UVPD. Sequence coverages obtained by UVPD showed less dependence on charge state than those determined by CID, with the latter showing a consistent decrease in coverage as charge state increased.
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Affiliation(s)
- Scott A Robotham
- Department of Chemistry, University of Texas, Austin, TX, 78712, USA
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26
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Lin X, Shi M, Masilamoni JG, Dator R, Movius J, Aro P, Smith Y, Zhang J. Proteomic profiling in MPTP monkey model for early Parkinson disease biomarker discovery. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2015; 1854:779-87. [PMID: 25617661 DOI: 10.1016/j.bbapap.2015.01.007] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2014] [Revised: 01/09/2015] [Accepted: 01/16/2015] [Indexed: 01/02/2023]
Abstract
Identification of reliable and robust biomarkers is crucial to enable early diagnosis of Parkinson disease (PD) and monitoring disease progression. While imperfect, the slow, chronic 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced non-human primate animal model system of parkinsonism is an abundant source of pre-motor or early stage PD biomarker discovery. Here, we present a study of a MPTP rhesus monkey model of PD that utilizes complementary quantitative iTRAQ-based proteomic, glycoproteomics and phosphoproteomics approaches. We compared the glycoprotein, non-glycoprotein, and phosphoprotein profiles in the putamen of asymptomatic and symptomatic MPTP-treated monkeys as well as saline injected controls. We identified 86 glycoproteins, 163 non-glycoproteins, and 71 phosphoproteins differentially expressed in the MPTP-treated groups. Functional analysis of the data sets inferred the biological processes and pathways that link to neurodegeneration in PD and related disorders. Several potential biomarkers identified in this study have already been translated for their usefulness in PD diagnosis in human subjects and further validation investigations are currently under way. In addition to providing potential early PD biomarkers, this comprehensive quantitative proteomic study may also shed insights regarding the mechanisms underlying early PD development. This article is part of a Special Issue entitled: Neuroproteomics: Applications in neuroscience and neurology.
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Affiliation(s)
- Xiangmin Lin
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA; School of Life Sciences, Fujian Agricultural and Forestry University, Fuzhou, Fujian, China
| | - Min Shi
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Romel Dator
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - James Movius
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Patrick Aro
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Yoland Smith
- Yerkes National Primate Research Center, Emory University, Atlanta, GA, USA; Department of Neurology, Emory University, Atlanta, GA, USA
| | - Jing Zhang
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA.
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27
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Thongboonkerd V, LaBaer J, Domont GB. Recent Advances of Proteomics Applied to Human Diseases. J Proteome Res 2014; 13:4493-6. [DOI: 10.1021/pr501038g] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Visith Thongboonkerd
- Medical Proteomics Unit,
Office for Research and Development, Faculty of Medicine Siriraj Hospital,
and Center for Research in Complex Systems Science, Mahidol University, 2 Wanglang Road, Bangkoknoi, Bangkok 10700, Thailand
| | - Joshua LaBaer
- Virginia G. Piper Center
for Personalized Diagnostics, Biodesign Institute, Arizona State University, 1001 South McAllister Avenue, Tempe, Arizona 85287-6401, United States
| | - Gilberto B. Domont
- Proteomics Unit, Institute
of Chemistry, Federal University of Rio de Janeiro (UFRJ), Avenida
Athos da Silveira Ramos, Rio de Janeiro, 21941-909 RJ, Brazil
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28
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Bjorlykke Y, Vethe H, Vaudel M, Barsnes H, Berven FS, Tjora E, Raeder H. Carboxyl-Ester Lipase Maturity-Onset Diabetes of the Young Disease Protein Biomarkers in Secretin-Stimulated Duodenal Juice. J Proteome Res 2014; 14:521-30. [DOI: 10.1021/pr500750z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
- Yngvild Bjorlykke
- KG
Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Jonas Lies Vei 65, Bergen 5021, Norway
- Department
of Pediatrics, Haukeland University Hospital, Jonas Lies vei 65, Bergen 5021, Norway
| | - Heidrun Vethe
- KG
Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Jonas Lies Vei 65, Bergen 5021, Norway
- Department
of Pediatrics, Haukeland University Hospital, Jonas Lies vei 65, Bergen 5021, Norway
| | - Marc Vaudel
- Proteomics
Unit (PROBE), Department of Biomedicine, University of Bergen, Jonas Lies vei 91, Bergen 5009, Norway
| | - Harald Barsnes
- Proteomics
Unit (PROBE), Department of Biomedicine, University of Bergen, Jonas Lies vei 91, Bergen 5009, Norway
| | - Frode S. Berven
- Proteomics
Unit (PROBE), Department of Biomedicine, University of Bergen, Jonas Lies vei 91, Bergen 5009, Norway
| | - Erling Tjora
- Department
of Pediatrics, Haukeland University Hospital, Jonas Lies vei 65, Bergen 5021, Norway
| | - Helge Raeder
- KG
Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Jonas Lies Vei 65, Bergen 5021, Norway
- Department
of Pediatrics, Haukeland University Hospital, Jonas Lies vei 65, Bergen 5021, Norway
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