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Tong R, Ding X, Liu F, Li H, Liu H, Song H, Wang Y, Zhang X, Liu S, Sun T. Classification of subtypes and identification of dysregulated genes in sepsis. Front Cell Infect Microbiol 2023; 13:1226159. [PMID: 37671148 PMCID: PMC10475835 DOI: 10.3389/fcimb.2023.1226159] [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: 06/22/2023] [Accepted: 08/07/2023] [Indexed: 09/07/2023] Open
Abstract
Background Sepsis is a clinical syndrome with high mortality. Subtype identification in sepsis is meaningful for improving the diagnosis and treatment of patients. The purpose of this research was to identify subtypes of sepsis using RNA-seq datasets and further explore key genes that were deregulated during the development of sepsis. Methods The datasets GSE95233 and GSE13904 were obtained from the Gene Expression Omnibus database. Differential analysis of the gene expression matrix was performed between sepsis patients and healthy controls. Intersection analysis of differentially expressed genes was applied to identify common differentially expressed genes for enrichment analysis and gene set variation analysis. Obvious differential pathways between sepsis patients and healthy controls were identified, as were developmental stages during sepsis. Then, key dysregulated genes were revealed by short time-series analysis and the least absolute shrinkage and selection operator model. In addition, the MCPcounter package was used to assess infiltrating immunocytes. Finally, the dysregulated genes identified were verified using 69 clinical samples. Results A total of 898 common differentially expressed genes were obtained, which were chiefly related to increased metabolic responses and decreased immune responses. The two differential pathways (angiogenesis and myc targets v2) were screened on the basis of gene set variation analysis scores. Four subgroups were identified according to median expression of angiogenesis and myc target v2 genes: normal, myc target v2, mixed-quiescent, and angiogenesis. The genes CHPT1, CPEB4, DNAJC3, MAFG, NARF, SNX3, S100A9, S100A12, and METTL9 were recognized as being progressively dysregulated in sepsis. Furthermore, most types of immune cells showed low infiltration in sepsis patients and had a significant correlation with the key genes. Importantly, all nine key genes were highly expressed in sepsis patients. Conclusion This study revealed novel insight into sepsis subtypes and identified nine dysregulated genes associated with immune status in the development of sepsis. This study provides potential molecular targets for the diagnosis and treatment of sepsis.
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Affiliation(s)
- Ran Tong
- General Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Henan Key Laboratory of Critical Care Medicine, Henan Engineering Research Center for Critical Care Medicine, Zhengzhou, Henan, China
- Zhengzhou Key Laboratory of Sepsis, Zhengzhou, Henan, China
- Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Xianfei Ding
- General Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Henan Key Laboratory of Critical Care Medicine, Henan Engineering Research Center for Critical Care Medicine, Zhengzhou, Henan, China
- Zhengzhou Key Laboratory of Sepsis, Zhengzhou, Henan, China
| | - Fengyu Liu
- General Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Henan Key Laboratory of Critical Care Medicine, Henan Engineering Research Center for Critical Care Medicine, Zhengzhou, Henan, China
- Zhengzhou Key Laboratory of Sepsis, Zhengzhou, Henan, China
| | - Hongyi Li
- General Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Henan Key Laboratory of Critical Care Medicine, Henan Engineering Research Center for Critical Care Medicine, Zhengzhou, Henan, China
- Zhengzhou Key Laboratory of Sepsis, Zhengzhou, Henan, China
| | - Huan Liu
- General Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Henan Key Laboratory of Critical Care Medicine, Henan Engineering Research Center for Critical Care Medicine, Zhengzhou, Henan, China
- Zhengzhou Key Laboratory of Sepsis, Zhengzhou, Henan, China
| | - Heng Song
- General Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Henan Key Laboratory of Critical Care Medicine, Henan Engineering Research Center for Critical Care Medicine, Zhengzhou, Henan, China
- Zhengzhou Key Laboratory of Sepsis, Zhengzhou, Henan, China
- Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yuze Wang
- General Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Henan Key Laboratory of Critical Care Medicine, Henan Engineering Research Center for Critical Care Medicine, Zhengzhou, Henan, China
- Zhengzhou Key Laboratory of Sepsis, Zhengzhou, Henan, China
| | - Xiaojuan Zhang
- General Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Henan Key Laboratory of Critical Care Medicine, Henan Engineering Research Center for Critical Care Medicine, Zhengzhou, Henan, China
- Zhengzhou Key Laboratory of Sepsis, Zhengzhou, Henan, China
| | - Shaohua Liu
- General Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Henan Key Laboratory of Critical Care Medicine, Henan Engineering Research Center for Critical Care Medicine, Zhengzhou, Henan, China
- Zhengzhou Key Laboratory of Sepsis, Zhengzhou, Henan, China
| | - Tongwen Sun
- General Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Henan Key Laboratory of Critical Care Medicine, Henan Engineering Research Center for Critical Care Medicine, Zhengzhou, Henan, China
- Zhengzhou Key Laboratory of Sepsis, Zhengzhou, Henan, China
- Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
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Cerón JJ, Ortín-Bustillo A, López-Martínez MJ, Martínez-Subiela S, Eckersall PD, Tecles F, Tvarijonaviciute A, Muñoz-Prieto A. S-100 Proteins: Basics and Applications as Biomarkers in Animals with Special Focus on Calgranulins (S100A8, A9, and A12). BIOLOGY 2023; 12:881. [PMID: 37372165 DOI: 10.3390/biology12060881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 06/08/2023] [Accepted: 06/13/2023] [Indexed: 06/29/2023]
Abstract
S100 proteins are a group of calcium-binding proteins which received this name because of their solubility in a 100% saturated solution of ammonium sulphate. They have a similar molecular mass of 10-12 KDa and share 25-65% similarity in their amino acid sequence. They are expressed in many tissues, and to date 25 different types of S100 proteins have been identified. This review aims to provide updated information about S100 proteins and their use as biomarkers in veterinary science, with special emphasis on the family of calgranulins that includes S100A8 (calgranulin A; myeloid-related protein 8, MRP8), S100A9 (calgranulin B; MRP14), and S100A12 (calgranulin C). The proteins SA100A8 and S100A9 can be linked, forming a heterodimer which is known as calprotectin. Calgranulins are related to the activation of inflammation and the immune system and increase in gastrointestinal diseases, inflammation and sepsis, immunomediated diseases, and obesity and endocrine disorders in different animal species. This review reflects the current knowledge about calgranulins in veterinary science, which should increase in the future to clarify their role in different diseases and potential as biomarkers and therapeutic targets, as well as the practical use of their measurement in non-invasive samples such as saliva or feces.
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Affiliation(s)
- José Joaquín Cerón
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, Campus de Espinardo s/n, 30100 Murcia, Spain
| | - Alba Ortín-Bustillo
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, Campus de Espinardo s/n, 30100 Murcia, Spain
| | - María José López-Martínez
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, Campus de Espinardo s/n, 30100 Murcia, Spain
| | - Silvia Martínez-Subiela
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, Campus de Espinardo s/n, 30100 Murcia, Spain
| | - Peter David Eckersall
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, Campus de Espinardo s/n, 30100 Murcia, Spain
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Garscube Estate, Glasgow G61 1QH, UK
| | - Fernando Tecles
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, Campus de Espinardo s/n, 30100 Murcia, Spain
| | - Asta Tvarijonaviciute
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, Campus de Espinardo s/n, 30100 Murcia, Spain
| | - Alberto Muñoz-Prieto
- Interdisciplinary Laboratory of Clinical Analysis (Interlab-UMU), Regional Campus of International Excellence 'Campus Mare Nostrum', University of Murcia, Campus de Espinardo s/n, 30100 Murcia, Spain
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3
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Patterson KL, Arul AB, Choi MJ, Oliver NC, Whitaker MD, Bodrick AC, Libby JB, Hansen S, Dumitrescu L, Gifford KA, Jefferson AL, Hohman TJ, Robinson RAS. Establishing Quality Control Procedures for Large-Scale Plasma Proteomics Analyses. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023. [PMID: 37163770 DOI: 10.1021/jasms.3c00050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Proteomics research has been transformed due to high-throughput liquid chromatography (LC-MS/MS) tandem mass spectrometry instruments combined with highly sophisticated automated sample preparation and multiplexing workflows. However, scaling proteomics experiments to large sample cohorts (hundreds to thousands) requires thoughtful quality control (QC) protocols. Robust QC protocols can help with reproducibility, quantitative accuracy, and provide opportunities for more decisive troubleshooting. Our laboratory conducted a plasma proteomics study of a cohort of N = 335 patient samples using tandem mass tag (TMTpro) 16-plex batches. Over the course of a 10-month data acquisition period for this cohort we collected 271 pooled QC LC-MS/MS result files obtained from MS/MS analysis of a patient-derived pooled plasma sample, representative of the entire cohort population. This sample was tagged with TMTzero or TMTpro reagents and used to inform the daily performance of the LC-MS/MS instruments and to allow within and across sample batch normalization. Analytical variability of a number of instrumental and data analysis metrics including protein and peptide identifications, peptide spectral matches (PSMs), number of obtained MS/MS spectra, average peptide abundance, percent of peptides with a Δ m/z between ±0.003 Da, percent of MS/MS spectra obtained at the maximum injection time, and the retention time of selected tracking peptides were evaluated to help inform the design of a robust LC-MS/MS QC workflow for use in future cohort studies. This study also led to general tips for using selected metrics to inform real-time troubleshooting of LC-MS/MS performance issues with daily QC checks.
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Affiliation(s)
- Khiry L Patterson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Albert B Arul
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Min Ji Choi
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Nekesa C Oliver
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Marsalas D Whitaker
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Angel C Bodrick
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
- Department of Biochemistry, Cancer Biology, Neuroscience, and Pharmacology, Meharry Medical College, Nashville, Tennessee 37208, United States
| | - Julia B Libby
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
| | - Shania Hansen
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37212, United States
| | - Logan Dumitrescu
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
| | - Katherine A Gifford
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37212, United States
| | - Angela L Jefferson
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37212, United States
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
| | - Renã A S Robinson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
- Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, Tennessee 37232, United States
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
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4
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Post-translational modifications on the metal-sequestering protein calprotectin. Biometals 2023:10.1007/s10534-023-00493-x. [PMID: 36826733 PMCID: PMC10393864 DOI: 10.1007/s10534-023-00493-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 01/19/2023] [Indexed: 02/25/2023]
Abstract
Human calprotectin (CP, S100A8/S100A9 oligomer) is an abundant neutrophil protein that contributes to innate immunity by sequestering nutrient metal ions in the extracellular space. This process starves invading microbial pathogens of essential metal nutrients, which can inhibit growth and colonization. Over the past decade, fundamental and clinical studies have revealed that the S100A8 and S100A9 subunits of CP exhibit a variety of post-translational modifications (PTMs). This review summarizes PTMs on the CP subunits that have been detected and highlights two recent studies that evaluated the structural and functional consequences of methionine and cysteine oxidation on CP. Collectively, these investigations indicate that the molecular speciation of extracellular CP is complex and composed of multiple proteoforms. Moreover, PTMs may impact biological function and the lifetime of the protein. It is therefore important that post-translationally modified CP species receive consideration and integration into the current working model for how CP functions in nutritional immunity.
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5
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Miyashita D, Inoue R, Tsuno T, Okuyama T, Kyohara M, Nakahashi-Oda C, Nishiyama K, Fukushima S, Inada Y, Togashi Y, Shibuya A, Terauchi Y, Shirakawa J. Protective effects of S100A8 on sepsis mortality: Links to sepsis risk in obesity and diabetes. iScience 2022; 25:105662. [PMID: 36505926 PMCID: PMC9732389 DOI: 10.1016/j.isci.2022.105662] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 10/23/2022] [Accepted: 11/21/2022] [Indexed: 11/24/2022] Open
Abstract
Obesity and diabetes are independent risk factors for death during sepsis. S100A8, an alarmin, is related to inflammation, obesity, and diabetes. Here, we examine the role of S100A8 in sepsis of obesity and diabetes models. Injection of S100A8 prolongs the survival of septic mice induced by lethal endotoxemia, Escherichia coli injection, or cecal ligation and puncture. S100A8 decrease the LPS-induced expression of proinflammatory cytokines in peritoneal macrophages by inhibiting TLR4-mediated signals in an autocrine manner. db/db, ob/ob, and western diet-fed mice demonstrate reduced upregulation of S100A8 induced by LPS treatment in both serum and peritoneal cells. These mice also show shorter survival after LPS injection, and S100A8 supplementation prolonged the survival. While myelomonocytic cells-specific S100A8-deficient mice (Lyz2 cre :S100A8 floxed/floxed ) exhibit shorter survival after LPS treatment, S100A8 supplementation prolonged the survival. Thus, myelomonocytic cell-derived S100A8 is crucial for protection from sepsis, and S100A8 supplementation improves sepsis, particularly in mice with obesity and diabetes.
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Affiliation(s)
- Daisuke Miyashita
- Laboratory of Diabetes and Metabolic Disorders, Institute for Molecular and Cellular Regulation (IMCR), Gunma University, Maebashi, Japan
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama-City University, Yokohama, Japan
| | - Ryota Inoue
- Laboratory of Diabetes and Metabolic Disorders, Institute for Molecular and Cellular Regulation (IMCR), Gunma University, Maebashi, Japan
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama-City University, Yokohama, Japan
| | - Takahiro Tsuno
- Laboratory of Diabetes and Metabolic Disorders, Institute for Molecular and Cellular Regulation (IMCR), Gunma University, Maebashi, Japan
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama-City University, Yokohama, Japan
| | - Tomoko Okuyama
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama-City University, Yokohama, Japan
| | - Mayu Kyohara
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama-City University, Yokohama, Japan
| | - Chigusa Nakahashi-Oda
- Department of Immunology, Faculty of Medicine, and R&D Center for Innovative Drug Discovery, University of Tsukuba, Tsukuba, Japan
| | - Kuniyuki Nishiyama
- Laboratory of Diabetes and Metabolic Disorders, Institute for Molecular and Cellular Regulation (IMCR), Gunma University, Maebashi, Japan
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama-City University, Yokohama, Japan
| | - Setsuko Fukushima
- Laboratory of Diabetes and Metabolic Disorders, Institute for Molecular and Cellular Regulation (IMCR), Gunma University, Maebashi, Japan
| | - Yutaro Inada
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama-City University, Yokohama, Japan
| | - Yu Togashi
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama-City University, Yokohama, Japan
| | - Akira Shibuya
- Department of Immunology, Faculty of Medicine, and R&D Center for Innovative Drug Discovery, University of Tsukuba, Tsukuba, Japan
- Life Science Center for Survival Dynamics, Tsukuba Advanced Research Alliance (TARA), University of Tsukuba, Tsukuba, Japan
| | - Yasuo Terauchi
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama-City University, Yokohama, Japan
| | - Jun Shirakawa
- Laboratory of Diabetes and Metabolic Disorders, Institute for Molecular and Cellular Regulation (IMCR), Gunma University, Maebashi, Japan
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama-City University, Yokohama, Japan
- Corresponding author
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King CD, Kapp KL, Arul AB, Choi MJ, Robinson RAS. Advancements in automation for plasma proteomics sample preparation. Mol Omics 2022; 18:828-839. [PMID: 36048090 PMCID: PMC9879274 DOI: 10.1039/d2mo00122e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Automation is necessary to increase sample processing throughput for large-scale clinical analyses. Replacement of manual pipettes with robotic liquid handler systems is especially helpful in processing blood-based samples, such as plasma and serum. These samples are very heterogenous, and protein expression can vary greatly from sample-to-sample, even for healthy controls. Detection of true biological changes requires that variation from sample preparation steps and downstream analytical detection methods, such as mass spectrometry, remains low. In this mini-review, we discuss plasma proteomics protocols and the benefits of automation towards enabling detection of low abundant proteins and providing low sample error and increased sample throughput. This discussion includes considerations for automation of major sample depletion and/or enrichment strategies for plasma toward mass spectrometry detection.
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Affiliation(s)
- Christina D King
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
| | - Kathryn L Kapp
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
- Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, Tennessee 37232, USA
| | - Albert B Arul
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
| | - Min Ji Choi
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
| | - Renã A S Robinson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, USA
- Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, Tennessee 37232, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37212, USA
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee 37232, USA
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Gasdermin D-dependent platelet pyroptosis exacerbates NET formation and inflammation in severe sepsis. NATURE CARDIOVASCULAR RESEARCH 2022; 1:732-747. [PMID: 35967457 PMCID: PMC9362711 DOI: 10.1038/s44161-022-00108-7] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 06/22/2022] [Indexed: 12/20/2022]
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Hollas MAR, Robey M, Fellers R, LeDuc R, Thomas P, Kelleher N. The Human Proteoform Atlas: a FAIR community resource for experimentally derived proteoforms. Nucleic Acids Res 2022; 50:D526-D533. [PMID: 34986596 PMCID: PMC8728143 DOI: 10.1093/nar/gkab1086] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 10/06/2021] [Accepted: 11/14/2021] [Indexed: 01/01/2023] Open
Abstract
The Human Proteoform Atlas (HPfA) is a web-based repository of experimentally verified human proteoforms on-line at http://human-proteoform-atlas.org and is a direct descendant of the Consortium of Top-Down Proteomics' (CTDP) Proteoform Atlas. Proteoforms are the specific forms of protein molecules expressed by our cells and include the unique combination of post-translational modifications (PTMs), alternative splicing and other sources of variation deriving from a specific gene. The HPfA uses a FAIR system to assign persistent identifiers to proteoforms which allows for redundancy calling and tracking from prior and future studies in the growing community of proteoform biology and measurement. The HPfA is organized around open ontologies and enables flexible classification of proteoforms. To achieve this, a public registry of experimentally verified proteoforms was also created. Submission of new proteoforms can be processed through email vianrtdphelp@northwestern.edu, and future iterations of these proteoform atlases will help to organize and assign function to proteoforms, their PTMs and their complexes in the years ahead.
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Affiliation(s)
- Michael A R Hollas
- Departments of Molecular Biosciences, Chemistry, and the Chemistry of Life Processes Institute, Northwestern University, Evanston, IL 60208, USA
| | - Matthew T Robey
- Departments of Molecular Biosciences, Chemistry, and the Chemistry of Life Processes Institute, Northwestern University, Evanston, IL 60208, USA
| | - Ryan T Fellers
- Departments of Molecular Biosciences, Chemistry, and the Chemistry of Life Processes Institute, Northwestern University, Evanston, IL 60208, USA
| | - Richard D LeDuc
- Departments of Molecular Biosciences, Chemistry, and the Chemistry of Life Processes Institute, Northwestern University, Evanston, IL 60208, USA
| | - Paul M Thomas
- Departments of Molecular Biosciences, Chemistry, and the Chemistry of Life Processes Institute, Northwestern University, Evanston, IL 60208, USA
| | - Neil L Kelleher
- Departments of Molecular Biosciences, Chemistry, and the Chemistry of Life Processes Institute, Northwestern University, Evanston, IL 60208, USA
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9
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Metal sequestration by S100 proteins in chemically diverse environments. Trends Microbiol 2022; 30:654-664. [DOI: 10.1016/j.tim.2021.12.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 12/07/2021] [Accepted: 12/08/2021] [Indexed: 12/22/2022]
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10
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Saadi J, Oueslati S, Bellanger L, Gallais F, Dortet L, Roque-Afonso AM, Junot C, Naas T, Fenaille F, Becher F. Quantitative Assessment of SARS-CoV-2 Virus in Nasopharyngeal Swabs Stored in Transport Medium by a Straightforward LC-MS/MS Assay Targeting Nucleocapsid, Membrane, and Spike Proteins. J Proteome Res 2021; 20:1434-1443. [PMID: 33497234 DOI: 10.1021/acs.jproteome.0c00887] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Alternative methods to RT-PCR for SARS-CoV-2 detection are investigated to provide complementary data on viral proteins, increase the number of tests performed, or identify false positive/negative results. Here, we have developed a simple mass spectrometry assay for SARS-CoV-2 in nasopharyngeal swab samples using common laboratory reagents. The method employs high sensitivity and selectivity targeted mass spectrometry detection, monitoring nine constitutive peptides representative of the three main viral proteins and a straightforward pellet digestion protocol for convenient routine applications. Absolute quantification of N, M, and S proteins was achieved by addition of isotope-labeled versions of best peptides. Limit of detection, recovery, precision, and linearity were thoroughly evaluated in four representative viral transport media (VTM) containing distinct total protein content. The protocol was sensitive in all swab media with limit of detection determined at 2 × 103 pfu/mL, corresponding to as low as 30 pfu injected into the LC-MS/MS system. When tested on VTM-stored nasopharyngeal swab samples from positive and control patients, sensitivity was similar to or better than rapid immunoassay dipsticks, revealing a corresponding RT-PCR detection threshold at Ct ∼ 24. The study represents the first thorough evaluation of sensitivity and robustness of targeted mass spectrometry in nasal swabs, constituting a promising SARS-CoV-2 antigen assay for the first-line diagnosis of COVID-19 and compatible with the constraints of clinical settings. The raw files generated in this study can be found on PASSEL (Peptide Atlas) under data set identifier PASS01646.
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Affiliation(s)
- Justyna Saadi
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 91191 Gif sur Yvette, France
| | - Saoussen Oueslati
- Bacteriology-Hygiene Unit, Hôpital Bicêtre, APHP Paris Saclay, Team ReSIST, INSERM U1184, Université Paris-Saclay, LabEx LERMIT, 94270 Le Kremlin-Bicêtre, France
| | - Laurent Bellanger
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
| | - Fabrice Gallais
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 30200 Bagnols-sur-Cèze, France
| | - Laurent Dortet
- Bacteriology-Hygiene Unit, Hôpital Bicêtre, APHP Paris Saclay, Team ReSIST, INSERM U1184, Université Paris-Saclay, LabEx LERMIT, 94270 Le Kremlin-Bicêtre, France
| | - Anne-Marie Roque-Afonso
- Service de Virologie, Hôpital Paul-Brousse, APHP Paris Saclay, and UMR 1193 Physiopathogénèse et Traitement des Maladies du Foie, 94800 Villejuif, France
| | - Christophe Junot
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 91191 Gif sur Yvette, France
| | - Thierry Naas
- Bacteriology-Hygiene Unit, Hôpital Bicêtre, APHP Paris Saclay, Team ReSIST, INSERM U1184, Université Paris-Saclay, LabEx LERMIT, 94270 Le Kremlin-Bicêtre, France
| | - François Fenaille
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 91191 Gif sur Yvette, France
| | - François Becher
- Université Paris-Saclay, CEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, 91191 Gif sur Yvette, France
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New Approaches to Identify Sepsis Biomarkers: The Importance of Model and Sample Source for Mass Spectrometry. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2020; 2020:6681073. [PMID: 33425215 PMCID: PMC7775177 DOI: 10.1155/2020/6681073] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Revised: 11/17/2020] [Accepted: 11/27/2020] [Indexed: 02/06/2023]
Abstract
Septic shock is a systemic inflammatory response syndrome associated with circulatory failure leading to organ failure with a 40% mortality rate. Early diagnosis and prognosis of septic shock are necessary for specific and timely treatment. However, no predictive biomarker is available. In recent years, improvements in proteomics-based mass spectrometry have improved the detection of such biomarkers. This approach can be performed on different samples such as tissue or biological fluids. Working directly from human samples is complicated owing to interindividual variability. Indeed, patients are admitted at different stages of disease development and with signs of varying severity from one patient to another. All of these elements interfere with the identification of early, sensitive, and specific septic shock biomarkers. For these reasons, animal models of sepsis, although imperfect, are used to control the kinetics of the development of the pathology and to standardise experimentation, facilitating the identification of potential biomarkers. These elements underline the importance of the choice of animal model used and the sample to be studied during preclinical studies. The aim of this review is to discuss the relevance of different approaches to enable the identification of biomarkers that could indirectly be relevant to the clinical setting.
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Lin YH, Platt MP, Fu H, Gui Y, Wang Y, Gonzalez-Juarbe N, Zhou D, Yu Y. Global Proteome and Phosphoproteome Characterization of Sepsis-induced Kidney Injury. Mol Cell Proteomics 2020; 19:2030-2047. [PMID: 32963032 PMCID: PMC7710145 DOI: 10.1074/mcp.ra120.002235] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 09/14/2020] [Indexed: 12/11/2022] Open
Abstract
Sepsis-induced acute kidney injury (S-AKI) is the most common complication in hospitalized and critically ill patients, highlighted by a rapid decline of kidney function occurring a few hours or days after sepsis onset. Systemic inflammation elicited by microbial infections is believed to lead to kidney damage under immunocompromised conditions. However, although AKI has been recognized as a disease with long-term sequelae, partly because of the associated higher risk of chronic kidney disease (CKD), the understanding of kidney pathophysiology at the molecular level and the global view of dynamic regulations in situ after S-AKI, including the transition to CKD, remains limited. Existing studies of S-AKI mainly focus on deriving sepsis biomarkers from body fluids. In the present study, we constructed a mid-severity septic murine model using cecal ligation and puncture (CLP), and examined the temporal changes to the kidney proteome and phosphoproteome at day 2 and day 7 after CLP surgery, corresponding to S-AKI and the transition to CKD, respectively, by employing an ultrafast and economical filter-based sample processing method combined with the label-free quantitation approach. Collectively, we identified 2,119 proteins and 2950 phosphosites through multi-proteomics analyses. Among them, we identified an array of highly promising candidate marker proteins indicative of disease onset and progression accompanied by immunoblot validations, and further denoted the pathways that are specifically responsive to S-AKI and its transition to CKD, which include regulation of cell metabolism regulation, oxidative stress, and energy consumption in the diseased kidneys. Our data can serve as an enriched resource for the identification of mechanisms and biomarkers for sepsis-induced kidney diseases.
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Affiliation(s)
- Yi-Han Lin
- Infectious Diseases and Genomic Medicine Group, J. Craig Venter Institute, Rockville, Maryland
| | - Maryann P Platt
- Infectious Diseases and Genomic Medicine Group, J. Craig Venter Institute, Rockville, Maryland
| | - Haiyan Fu
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Yuan Gui
- Division of Nephrology, Department of Medicine, University of Connecticut School of medicine, Farmington, Connecticut
| | - Yanlin Wang
- Division of Nephrology, Department of Medicine, University of Connecticut School of medicine, Farmington, Connecticut
| | | | - Dong Zhou
- Division of Nephrology, Department of Medicine, University of Connecticut School of medicine, Farmington, Connecticut; Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
| | - Yanbao Yu
- Infectious Diseases and Genomic Medicine Group, J. Craig Venter Institute, Rockville, Maryland.
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