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Taiwo M, Huang E, Pathak V, Bellar A, Welch N, Dasarathy J, Streem D, McClain CJ, Mitchell MC, Barton BA, Szabo G, Dasarathy S, Schaefer EA, Luther J, Day LZ, Ouyang X, Suyavaran A, Mehal WZ, Jacobs JM, Goodman RP, Rotroff DM, Nagy LE. Proteomics identifies complement protein signatures in patients with alcohol-associated hepatitis. JCI Insight 2024; 9:e174127. [PMID: 38573776 PMCID: PMC11141929 DOI: 10.1172/jci.insight.174127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 03/27/2024] [Indexed: 04/06/2024] Open
Abstract
Diagnostic challenges continue to impede development of effective therapies for successful management of alcohol-associated hepatitis (AH), creating an unmet need to identify noninvasive biomarkers for AH. In murine models, complement contributes to ethanol-induced liver injury. Therefore, we hypothesized that complement proteins could be rational diagnostic/prognostic biomarkers in AH. Here, we performed a comparative analysis of data derived from human hepatic and serum proteome to identify and characterize complement protein signatures in severe AH (sAH). The quantity of multiple complement proteins was perturbed in liver and serum proteome of patients with sAH. Multiple complement proteins differentiated patients with sAH from those with alcohol cirrhosis (AC) or alcohol use disorder (AUD) and healthy controls (HCs). Serum collectin 11 and C1q binding protein were strongly associated with sAH and exhibited good discriminatory performance among patients with sAH, AC, or AUD and HCs. Furthermore, complement component receptor 1-like protein was negatively associated with pro-inflammatory cytokines. Additionally, lower serum MBL associated serine protease 1 and coagulation factor II independently predicted 90-day mortality. In summary, meta-analysis of proteomic profiles from liver and circulation revealed complement protein signatures of sAH, highlighting a complex perturbation of complement and identifying potential diagnostic and prognostic biomarkers for patients with sAH.
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Affiliation(s)
| | | | - Vai Pathak
- Department of Quantitative Health Sciences, and
| | | | - Nicole Welch
- Department of Inflammation and Immunity
- Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA
| | - Jaividhya Dasarathy
- Department of Family Medicine, Metro Health Medical Center, Cleveland, Ohio, USA
| | - David Streem
- Department of Psychiatry and Psychology, Cleveland Clinic Lutheran Hospital, Cleveland, Ohio, USA
| | - Craig J. McClain
- Department of Medicine, University of Louisville, Louisville, Kentucky, USA
| | - Mack C. Mitchell
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Bruce A. Barton
- Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Gyongyi Szabo
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Srinivasan Dasarathy
- Department of Inflammation and Immunity
- Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Molecular Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | | | - Esperance A. Schaefer
- Alcohol Liver Center, Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jay Luther
- Alcohol Liver Center, Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Le Z. Day
- Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Xinshou Ouyang
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Arumugam Suyavaran
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Wajahat Z. Mehal
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Jon M. Jacobs
- Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington, USA
| | - Russell P. Goodman
- Alcohol Liver Center, Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Endocrine Unit, Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Daniel M. Rotroff
- Department of Quantitative Health Sciences, and
- Endocrine and Metabolism Institute and
- Center for Quantitative Metabolic Research, Cleveland Clinic, Cleveland, Ohio, USA
| | - Laura E. Nagy
- Department of Inflammation and Immunity
- Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA
- See Supplemental Acknowledgments for information on the AlcHepNet Consortium
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2
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Samarelli AV, Tonelli R, Raineri G, Bruzzi G, Andrisani D, Gozzi F, Marchioni A, Costantini M, Fabbiani L, Genovese F, Pinetti D, Manicardi L, Castaniere I, Masciale V, Aramini B, Tabbì L, Rizzato S, Bettelli S, Manfredini S, Dominici M, Clini E, Cerri S. Proteomic profiling of formalin-fixed paraffine-embedded tissue reveals key proteins related to lung dysfunction in idiopathic pulmonary fibrosis. Front Oncol 2024; 13:1275346. [PMID: 38322285 PMCID: PMC10844556 DOI: 10.3389/fonc.2023.1275346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 12/29/2023] [Indexed: 02/08/2024] Open
Abstract
Introduction Idiopathic pulmonary fibrosis (IPF) severely affects the lung leading to aberrant deposition of extracellular matrix and parenchymal stiffness with progressive functional derangement. The limited availability of fresh tissues represents one of the major limitations to study the molecular profiling of IPF lung tissue. The primary aim of this study was to explore the proteomic profiling yield of archived formalin-fixed paraffin-embedded (FFPE) specimens of IPF lung tissues. Methods We further determined the protein expression according to respiratory functional decline at the time of biopsy. The total proteins isolated from 11 FFPE samples of IPF patients compared to 3 FFPE samples from a non-fibrotic lung defined as controls, were subjected to label-free quantitative proteomic analysis by liquid chromatography-mass spectrometry (LC-MS/MS) and resulted in the detection of about 400 proteins. Results After the pairwise comparison between controls and IPF, functional enrichment analysis identified differentially expressed proteins that were involved in extracellular matrix signaling pathways, focal adhesion and transforming growth factor β (TGF-β) signaling pathways strongly associated with IPF onset and progression. Five proteins were significantly over- expressed in the lung of IPF patients with either advanced disease stage (Stage II) or impaired pulmonary function (FVC<75, DLCO<55) compared to controls; these were lymphocyte cytosolic protein 1 (LCP1), peroxiredoxin-2 (PRDX2), transgelin 2 (TAGLN2), lumican (LUM) and mimecan (OGN) that might play a key role in the fibrogenic processes. Discussion Our work showed that the analysis of FFPE samples was able to identify key proteins that might be crucial for the IPF pathogenesis. These proteins are correlated with lung carcinogenesis or involved in the immune landscape of lung cancer, thus making possible common mechanisms between lung carcinogenesis and fibrosis progression, two pathological conditions at risk for each other in the real life.
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Affiliation(s)
- Anna Valeria Samarelli
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena, Modena, Italy
| | - Roberto Tonelli
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena, Modena, Italy
- Respiratory Disease Unit, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
| | - Giulia Raineri
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena, Modena, Italy
| | - Giulia Bruzzi
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena, Modena, Italy
- Respiratory Disease Unit, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
| | - Dario Andrisani
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena, Modena, Italy
- Respiratory Disease Unit, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
| | - Filippo Gozzi
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena, Modena, Italy
- Respiratory Disease Unit, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
| | - Alessandro Marchioni
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena, Modena, Italy
- Respiratory Disease Unit, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
| | - Matteo Costantini
- Pathology Institute, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
| | - Luca Fabbiani
- Pathology Institute, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
- Immunohistochemistry Lab, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
| | - Filippo Genovese
- Centro Interdipartimentale Grandi Strumenti (C.I.G.S.), University of Modena and Reggio Emilia, Modena, Italy
| | - Diego Pinetti
- Centro Interdipartimentale Grandi Strumenti (C.I.G.S.), University of Modena and Reggio Emilia, Modena, Italy
| | - Linda Manicardi
- Respiratory Disease Unit, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
| | - Ivana Castaniere
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena, Modena, Italy
- Respiratory Disease Unit, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
| | - Valentina Masciale
- Laboratory of Cellular Therapy, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, Modena, Italy
- Oncology Unit, University Hospital of Modena and Reggio Emilia, University of Modena and Reggio Emilia, Modena, Italy
| | - Beatrice Aramini
- Division of Thoracic Surgery, Department of Medical and Surgical Sciences-Diagnostic and Specialty Medicine (DIMEC) of the Alma Mater Studiorum, University of Bologna G.B. Morgagni-L. Pierantoni Hospital, Forlì, Italy
| | - Luca Tabbì
- Respiratory Disease Unit, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
| | - Simone Rizzato
- Respiratory Disease Unit, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
| | - Stefania Bettelli
- Molecular Pathology and Predictive Medicine Unit, Modena Cancer Center, University Hospital of Modena, Modena, Italy
| | - Samantha Manfredini
- Molecular Pathology and Predictive Medicine Unit, Modena Cancer Center, University Hospital of Modena, Modena, Italy
| | - Massimo Dominici
- Laboratory of Cellular Therapy, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena and Reggio Emilia, Modena, Italy
- Oncology Unit, University Hospital of Modena and Reggio Emilia, University of Modena and Reggio Emilia, Modena, Italy
| | - Enrico Clini
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena, Modena, Italy
- Respiratory Disease Unit, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
| | - Stefania Cerri
- Laboratory of Cell Therapies and Respiratory Medicine, Department of Medical and Surgical Sciences for Children & Adults, University Hospital of Modena, Modena, Italy
- Respiratory Disease Unit, Department of Medical and Surgical Sciences, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
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Protocol for Increasing the Sensitivity of MS-Based Protein Detection in Human Chorionic Villi. Curr Issues Mol Biol 2022; 44:2069-2088. [PMID: 35678669 PMCID: PMC9164042 DOI: 10.3390/cimb44050140] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 05/06/2022] [Accepted: 05/07/2022] [Indexed: 11/17/2022] Open
Abstract
An important step in the proteomic analysis of missing proteins is the use of a wide range of tissues, optimal extraction, and the processing of protein material in order to ensure the highest sensitivity in downstream protein detection. This work describes a purification protocol for identifying low-abundance proteins in human chorionic villi using the proposed “1DE-gel concentration” method. This involves the removal of SDS in a short electrophoresis run in a stacking gel without protein separation. Following the in-gel digestion of the obtained holistic single protein band, we used the peptide mixture for further LC–MS/MS analysis. Statistically significant results were derived from six datasets, containing three treatments, each from two tissue sources (elective or missed abortions). The 1DE-gel concentration increased the coverage of the chorionic villus proteome. Our approach allowed the identification of 15 low-abundance proteins, of which some had not been previously detected via the mass spectrometry of trophoblasts. In the post hoc data analysis, we found a dubious or uncertain protein (PSG7) encoded on human chromosome 19 according to neXtProt. A proteomic sample preparation workflow with the 1DE-gel concentration can be used as a prospective tool for uncovering the low-abundance part of the human proteome.
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Dapic I, Baljeu-Neuman L, Uwugiaren N, Kers J, Goodlett DR, Corthals GL. Proteome analysis of tissues by mass spectrometry. MASS SPECTROMETRY REVIEWS 2019; 38:403-441. [PMID: 31390493 DOI: 10.1002/mas.21598] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Accepted: 06/17/2019] [Indexed: 06/10/2023]
Abstract
Tissues and biofluids are important sources of information used for the detection of diseases and decisions on patient therapies. There are several accepted methods for preservation of tissues, among which the most popular are fresh-frozen and formalin-fixed paraffin embedded methods. Depending on the preservation method and the amount of sample available, various specific protocols are available for tissue processing for subsequent proteomic analysis. Protocols are tailored to answer various biological questions, and as such vary in lysis and digestion conditions, as well as duration. The existence of diverse tissue-sample protocols has led to confusion in how to choose the best protocol for a given tissue and made it difficult to compare results across sample types. Here, we summarize procedures used for tissue processing for subsequent bottom-up proteomic analysis. Furthermore, we compare protocols for their variations in the composition of lysis buffers, digestion procedures, and purification steps. For example, reports have shown that lysis buffer composition plays an important role in the profile of extracted proteins: the most common are tris(hydroxymethyl)aminomethane, radioimmunoprecipitation assay, and ammonium bicarbonate buffers. Although, trypsin is the most commonly used enzyme for proteolysis, in some protocols it is supplemented with Lys-C and/or chymotrypsin, which will often lead to an increase in proteome coverage. Data show that the selection of the lysis procedure might need to be tissue-specific to produce distinct protocols for individual tissue types. Finally, selection of the procedures is also influenced by the amount of sample available, which range from biopsies or the size of a few dozen of mm2 obtained with laser capture microdissection to much larger amounts that weight several milligrams.
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Affiliation(s)
- Irena Dapic
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland
| | | | - Naomi Uwugiaren
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland
| | - Jesper Kers
- Department of Pathology, Amsterdam Infection & Immunity Institute (AI&II), Amsterdam Cardiovascular Sciences (ACS), Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, The Netherlands
- Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology and Harvard University, Cambridge, MA
| | - David R Goodlett
- International Centre for Cancer Vaccine Science, University of Gdansk, Gdansk, Poland
- University of Maryland, 20N. Pine Street, Baltimore, MD 21201
| | - Garry L Corthals
- van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam, The Netherlands
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5
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Ozgyin L, Horvath A, Balint BL. Lyophilized human cells stored at room temperature preserve multiple RNA species at excellent quality for RNA sequencing. Oncotarget 2018; 9:31312-31329. [PMID: 30140372 PMCID: PMC6101130 DOI: 10.18632/oncotarget.25764] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Accepted: 06/22/2018] [Indexed: 11/25/2022] Open
Abstract
Biobanks operating at ambient temperatures would dramatically reduce the costs associated with standard cryogenic storage. In the present study, we used lyophilization to stabilize unfractionated human cells in a dried state at room temperature and tested the yield and integrity of the isolated RNA by microfluidic electrophoresis, RT-qPCR and RNA sequencing. RNA yields and integrity measures were not reduced for lyophilized cells (unstored, stored for two weeks or stored for two months) compared to their paired controls. The abundance of the selected mRNAs with various expression levels, as well as enhancer-associated RNAs and cancer biomarker long non-coding RNAs (MALAT1, GAS5 and TUG1), were not significantly different between the two groups as assessed by RT-qPCR. RNA sequencing data of three lyophilized samples stored for two weeks at room temperature revealed a high degree of similarity with their paired controls in terms of the RNA biotype distribution, cumulative gene diversity, gene body read coverage and per base mismatch rate. Among the 28 differentially expressed genes transcriptional regulators, as well as certain transcript properties suggestive of a residual active decay mechanism were enriched. Our study suggests that freeze-drying of human cells is a suitable alternative for the long-term stabilization of total RNA in whole human cells for routine diagnostics and high-throughput biomedical research.
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Affiliation(s)
- Lilla Ozgyin
- Department of Biochemistry and Molecular Biology, Genomic Medicine and Bioinformatic Core Facility, University of Debrecen, Debrecen H-4012, Hungary
| | - Attila Horvath
- Department of Biochemistry and Molecular Biology, Genomic Medicine and Bioinformatic Core Facility, University of Debrecen, Debrecen H-4012, Hungary.,Department of Biochemistry and Molecular Biology, Nuclear Hormone Receptor Research Laboratory, University of Debrecen, Debrecen H-4012, Hungary
| | - Balint Laszlo Balint
- Department of Biochemistry and Molecular Biology, Genomic Medicine and Bioinformatic Core Facility, University of Debrecen, Debrecen H-4012, Hungary
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Dapic I, Uwugiaren N, Jansen PJ, Corthals GL. Fast and Simple Protocols for Mass Spectrometry-Based Proteomics of Small Fresh Frozen Uterine Tissue Sections. Anal Chem 2017; 89:10769-10775. [PMID: 28910098 PMCID: PMC5647562 DOI: 10.1021/acs.analchem.7b01937] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
![]()
Human
tissues are an important link between organ-specific spatial
molecular information, patient pathology, and patient treatment options.
However, patient tissues are uniquely obtained by time and location,
and limited in their availability and size. Currently, little knowledge
exists about appropriate and simplified protocols for routine MS-based
analysis of the various types and sizes of tissues. Following standard
procedures used in pathology, we selected small fresh frozen uterine
tissue samples to investigate how the tissue preparation protocol
affected the subsequent proteomics analysis. First, we observed that
protein extraction with 0.1% SDS followed by extraction with a 30%
ACN/urea resulted in a decrease in the number of identified proteins,
when compared to extraction with 30% ACN/urea only. The decrease in
the number of proteins was approximately 55% and 20%, for 10 and 16
μm thick tissue, respectively. Interestingly, the relative abundance
of the proteins shared between the two methods was higher when SDS/ACN/urea
was used, compared to the 30% ACN/urea extraction, indicating the
role of SDS to be beneficial for protein solubility. Second, the influence
of tissue thickness was investigated by comparing the results obtained
for 10, 16, and 20 μm thick (1 mm2) tissue using
urea/30% ACN. We observed an increase in the number of identified
proteins and corresponding quantity with an increase in the tissue
thickness. Finally, by analyzing very small amounts of tissues (∼0.2
mm2) of 10, 16, and 20 μm thickness, we observed
that the increase in tissue thickness resulted in a higher number
of protein identifications and corresponding quantitative values.
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Affiliation(s)
- Irena Dapic
- University of Amsterdam, Van 't Hoff Institute for Molecular Sciences (HIMS) , Science Park 904, 1098 XH Amsterdam, The Netherlands
| | - Naomi Uwugiaren
- University of Amsterdam, Van 't Hoff Institute for Molecular Sciences (HIMS) , Science Park 904, 1098 XH Amsterdam, The Netherlands
| | - Petra J Jansen
- University of Amsterdam, Van 't Hoff Institute for Molecular Sciences (HIMS) , Science Park 904, 1098 XH Amsterdam, The Netherlands
| | - Garry L Corthals
- University of Amsterdam, Van 't Hoff Institute for Molecular Sciences (HIMS) , Science Park 904, 1098 XH Amsterdam, The Netherlands
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Ostasiewicz P, Wiśniewski J. A Protocol for Large-Scale Proteomic Analysis of Microdissected Formalin Fixed and Paraffin Embedded Tissue. Methods Enzymol 2017; 585:159-176. [DOI: 10.1016/bs.mie.2016.09.017] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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8
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Lădaru A, Bălănescu P, Stan M, Codreanu I, Anca IA. Candidate proteomic biomarkers for non-alcoholic fatty liver disease (steatosis and non-alcoholic steatohepatitis) discovered with mass-spectrometry: a systematic review. Biomarkers 2015; 21:102-14. [PMID: 26632636 DOI: 10.3109/1354750x.2015.1118542] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
CONTEXT Non-alcoholic fatty liver disease (NAFLD) is characterized by lipid accumulation in the liver which is accompanied by a series of metabolic deregulations. There are sustained research efforts focusing upon biomarker discovery for NAFLD diagnosis and its prognosis in order investigate and follow-up patients as minimally invasive as possible. OBJECTIVE The objective of this study is to critically review proteomic studies that used mass spectrometry techniques and summarize relevant proteomic NAFLD candidate biomarkers. METHODS Medline and Embase databases were searched from inception to December 2014. RESULTS A final number of 22 records were included that identified 251 candidate proteomic biomarkers. Thirty-three biomarkers were confirmed - 14 were found in liver samples, 21 in serum samples, and two from both serum and liver samples. CONCLUSION Some of the biomarkers identified have already been extensively studied regarding their diagnostic and prognostic capacity. However, there are also more potential biomarkers that still need to be addressed in future studies.
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Affiliation(s)
- Anca Lădaru
- a University of Medicine and Pharmacy "Carol Davila" , Pediatrics Chair , Bucharest , Romania .,b Institute for Mother and Child Care "Alfred Rusescu" , Bucharest , Romania
| | - Paul Bălănescu
- c Department of Clinical Immunology , CDPC Colentina Clinical Hospital , Bucharest , Romania , and.,d Clinical Research Unit RECIF (Réseau D' Epidémiologie Clinique International Francophone) , Bucharest , Romania
| | - Mihaela Stan
- a University of Medicine and Pharmacy "Carol Davila" , Pediatrics Chair , Bucharest , Romania .,b Institute for Mother and Child Care "Alfred Rusescu" , Bucharest , Romania
| | - Ioana Codreanu
- a University of Medicine and Pharmacy "Carol Davila" , Pediatrics Chair , Bucharest , Romania .,b Institute for Mother and Child Care "Alfred Rusescu" , Bucharest , Romania
| | - Ioana Alina Anca
- a University of Medicine and Pharmacy "Carol Davila" , Pediatrics Chair , Bucharest , Romania .,b Institute for Mother and Child Care "Alfred Rusescu" , Bucharest , Romania
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9
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Proteomic analysis of neurons microdissected from formalin-fixed, paraffin-embedded Alzheimer's disease brain tissue. Sci Rep 2015; 5:15456. [PMID: 26487484 PMCID: PMC4614382 DOI: 10.1038/srep15456] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Accepted: 09/25/2015] [Indexed: 12/22/2022] Open
Abstract
The vast majority of human tissue specimens are formalin-fixed, paraffin embedded (FFPE) archival samples, making this type of tissue a potential gold mine for medical research. It is now accepted that proteomics can be done using FFPE tissue and can generate similar results as snap-frozen tissue. However, the current methodology requires a large amount of starting protein, limiting the questions that can be answered in these types of proteomics studies and making cell-type specific proteomics studies difficult. Cell-type specific proteomics has the potential to greatly enhance understanding of cell functioning in both normal and disease states. Therefore, here we describe a new method that allows localized proteomics on individual cell populations isolated from FFPE tissue sections using laser capture microdissection. To demonstrate this technique we microdissected neurons from archived tissue blocks of the temporal cortex from patients with Alzheimer’s disease. Using this method we identified over 400 proteins in microdissected neurons; on average 78% that were neuronal and 50% that were associated with Alzheimer’s disease. Therefore, this technique is able to provide accurate and meaningful data and has great potential for any future study that wishes to perform localized proteomics using very small amounts of archived FFPE tissue.
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Clarke JD, Cherrington NJ. Nonalcoholic steatohepatitis in precision medicine: Unraveling the factors that contribute to individual variability. Pharmacol Ther 2015; 151:99-106. [PMID: 25805597 DOI: 10.1016/j.pharmthera.2015.03.005] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Accepted: 03/17/2015] [Indexed: 01/14/2023]
Abstract
There are numerous factors in individual variability that make the development and implementation of precision medicine a challenge in the clinic. One of the main goals of precision medicine is to identify the correct dose for each individual in order to maximize therapeutic effect and minimize the occurrence of adverse drug reactions. Many promising advances have been made in identifying and understanding how factors such as genetic polymorphisms can influence drug pharmacokinetics (PK) and contribute to variable drug response (VDR), but it is clear that there remain many unidentified variables. Underlying liver diseases such as nonalcoholic steatohepatitis (NASH) alter absorption, distribution, metabolism, and excretion (ADME) processes and must be considered in the implementation of precision medicine. There is still a profound need for clinical investigation into how NASH-associated changes in ADME mediators, such as metabolism enzymes and transporters, affect the pharmacokinetics of individual drugs known to rely on these pathways for elimination. This review summarizes the key PK factors in individual variability and VDR and highlights NASH as an essential underlying factor that must be considered as the development of precision medicine advances. A multifactorial approach to precision medicine that considers the combination of two or more risk factors (e.g. genetics and NASH) will be required in our effort to provide a new era of benefit for patients.
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Affiliation(s)
- John D Clarke
- Department of Pharmacology and Toxicology, University of Arizona, Tucson, AZ 85721, United States
| | - Nathan J Cherrington
- Department of Pharmacology and Toxicology, University of Arizona, Tucson, AZ 85721, United States.
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11
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Gustafsson OJR, Arentz G, Hoffmann P. Proteomic developments in the analysis of formalin-fixed tissue. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2014; 1854:559-80. [PMID: 25315853 DOI: 10.1016/j.bbapap.2014.10.003] [Citation(s) in RCA: 82] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2014] [Revised: 09/22/2014] [Accepted: 10/06/2014] [Indexed: 02/07/2023]
Abstract
Retrospective proteomic studies, including those which aim to elucidate the molecular mechanisms driving cancer, require the assembly and characterization of substantial patient tissue cohorts. The difficulty of maintaining and accessing native tissue archives has prompted the development of methods to access archives of formalin-fixed tissue. Formalin-fixed tissue archives, complete with patient meta data, have accumulated for decades, presenting an invaluable resource for these retrospective studies. This review presents the current knowledge concerning formalin-fixed tissue, with descriptions of the mechanisms of formalin fixation, protein extraction, top-down proteomics, bottom-up proteomics, quantitative proteomics, phospho- and glycoproteomics as well as imaging mass spectrometry. Particular attention has been given to the inclusion of proteomic investigations of archived tumour tissue. This article is part of a Special Issue entitled: Medical Proteomics.
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Affiliation(s)
- Ove J R Gustafsson
- Adelaide Proteomics Centre, School of Molecular and Biomedical Science, The University of Adelaide, Adelaide, Australia 5005
| | - Georgia Arentz
- Adelaide Proteomics Centre, School of Molecular and Biomedical Science, The University of Adelaide, Adelaide, Australia 5005
| | - Peter Hoffmann
- Adelaide Proteomics Centre, School of Molecular and Biomedical Science, The University of Adelaide, Adelaide, Australia 5005.
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Pham TV, Piersma SR, Oudgenoeg G, Jimenez CR. Label-free mass spectrometry-based proteomics for biomarker discovery and validation. Expert Rev Mol Diagn 2014; 12:343-59. [DOI: 10.1586/erm.12.31] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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Gámez-Pozo A, Ferrer NI, Ciruelos E, López-Vacas R, Martínez FG, Espinosa E, Vara JÁF. Shotgun proteomics of archival triple-negative breast cancer samples. Proteomics Clin Appl 2013; 7:283-91. [DOI: 10.1002/prca.201200048] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2012] [Revised: 11/15/2012] [Accepted: 12/10/2012] [Indexed: 11/07/2022]
Affiliation(s)
- Angelo Gámez-Pozo
- Laboratorio de Oncología y Patología Molecular, Instituto de Genética Médica y Molecular-INGEMM; Instituto de Investigación Hospital Universitario La Paz-IdiPAZ; Madrid; Spain
| | - Nuria Ibarz Ferrer
- Unidad de Proteómica; Centro Nacional de Investigaciones Oncológicas (CNIO); Madrid; Spain
| | - Eva Ciruelos
- Servicio de Oncología; Instituto de Investigación Hospital Universitario Doce de Octubre-i+12; Madrid; Spain
| | - Rocío López-Vacas
- Laboratorio de Oncología y Patología Molecular, Instituto de Genética Médica y Molecular-INGEMM; Instituto de Investigación Hospital Universitario La Paz-IdiPAZ; Madrid; Spain
| | | | - Enrique Espinosa
- Servicio de Oncología Médica; Instituto de Investigación Hospital Universitario La Paz-IdiPAZ; Madrid; Spain
| | - Juan Ángel Fresno Vara
- Laboratorio de Oncología y Patología Molecular, Instituto de Genética Médica y Molecular-INGEMM; Instituto de Investigación Hospital Universitario La Paz-IdiPAZ; Madrid; Spain
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Pan S, Brentnall TA, Kelly K, Chen R. Tissue proteomics in pancreatic cancer study: discovery, emerging technologies, and challenges. Proteomics 2013; 13:710-21. [PMID: 23125171 DOI: 10.1002/pmic.201200319] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2012] [Revised: 10/01/2012] [Accepted: 10/05/2012] [Indexed: 12/22/2022]
Abstract
Pancreatic cancer is a highly lethal disease that is difficult to diagnose and treat. The advances in proteomics technology, especially quantitative proteomics, have stimulated a great interest in applying this technology for pancreatic cancer study. A variety of tissue proteomics approaches have been applied to investigate pancreatic cancer and the associated diseases. These studies were carried out with various goals, aiming to better understand the molecular mechanisms underlying pancreatic tumorigenesis, to improve therapeutic treatment and to identify cancer associated protein signatures, signaling events as well as interactions between cancer cells and tumor microenvironment. Here, we provide an overview on the tissue proteomics studies of pancreatic cancer reported in the past few years in light of discovery and technology development.
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Affiliation(s)
- Sheng Pan
- Department of Medicine, University of Washington, Seattle, WA 98195, USA.
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Comparability of differential proteomics data generated from paired archival fresh-frozen and formalin-fixed samples by GeLC-MS/MS and spectral counting. J Proteomics 2012; 77:561-76. [PMID: 23043969 DOI: 10.1016/j.jprot.2012.09.033] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2012] [Revised: 09/17/2012] [Accepted: 09/22/2012] [Indexed: 11/22/2022]
Abstract
In this study, a Veterinary Department repository composed by paired formalin-fixed paraffin-embedded (FFPE) and fresh-frozen (FrFr) sets of the same tissues, routinely archived in the typical conditions of a clinical setting, was exploited to perform a comparative evaluation of the results generated by GeLC-MS/MS (1-DE followed by in-gel digestion and LC-MS/MS) and spectral counting with the two types of archival samples. Therefore, two parallel differential proteomic studies were performed using 3 canine mammary carcinomas and 3 normal controls in a paired fashion (6 FrFr and 6 FFPE in total). As a result, the FrFr and FFPE differential proteomic datasets exhibited fair consistency in differential expression trends, according to protein molecular function, cellular localization, networks, and pathways. However, FFPE samples were globally slightly less informative, especially concerning the high-MW subproteome. As a further investigation, new insights into the molecular aspects of protein fixation and retrieval were obtained. In conclusion, archival FFPE samples can be reliably used for differential proteomics studies employing a spectral counting GeLC-MS/MS approach, although some typical biases need to be taken into account, and FrFr specimens (when available) should still be considered as the gold standard for clinical proteomics.
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Hembrough T, Thyparambil S, Liao WL, Darfler MM, Abdo J, Bengali KM, Taylor P, Tong J, Lara-Guerra H, Waddell TK, Moran MF, Tsao MS, Krizman DB, Burrows J. Selected Reaction Monitoring (SRM) Analysis of Epidermal Growth Factor Receptor (EGFR) in Formalin Fixed Tumor Tissue. Clin Proteomics 2012; 9:5. [PMID: 22554165 PMCID: PMC3464929 DOI: 10.1186/1559-0275-9-5] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2011] [Accepted: 05/03/2012] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Analysis of key therapeutic targets such as epidermal growth factor receptor (EGFR) in clinical tissue samples is typically done by immunohistochemistry (IHC) and is only subjectively quantitative through a narrow dynamic range. The development of a standardized, highly-sensitive, linear, and quantitative assay for EGFR for use in patient tumor tissue carries high potential for identifying those patients most likely to benefit from EGFR-targeted therapies. METHODS A mass spectrometry-based Selected Reaction Monitoring (SRM) assay for the EGFR protein (EGFR-SRM) was developed utilizing the Liquid Tissue®-SRM technology platform. Tissue culture cells (n = 4) were analyzed by enzyme-linked immunosorbent assay (ELISA) to establish quantitative EGFR levels. Matching formalin fixed cultures were analyzed by the EGFR-SRM assay and benchmarked against immunoassay of the non-fixed cultured cells. Xenograft human tumor tissue (n = 10) of non-small cell lung cancer (NSCLC) origin and NSCLC patient tumor tissue samples (n = 23) were microdissected and the EGFR-SRM assay performed on Liquid Tissue lysates prepared from microdissected tissue. Quantitative curves and linear regression curves for correlation between immunoassay and SRM methodology were developed in Excel. RESULTS The assay was developed for quantitation of a single EGFR tryptic peptide for use in FFPE patient tissue with absolute specificity to uniquely distinguish EGFR from all other proteins including the receptor tyrosine kinases, IGF-1R, cMet, Her2, Her3, and Her4. The assay was analytically validated against a collection of tissue culture cell lines where SRM analysis of the formalin fixed cells accurately reflects EGFR protein levels in matching non-formalin fixed cultures as established by ELISA sandwich immunoassay (R2 = 0.9991). The SRM assay was applied to a collection of FFPE NSCLC xenograft tumors where SRM data range from 305amol/μg to 12,860amol/μg and are consistent with EGFR protein levels in these tumors as previously-reported by western blot and SRM analysis of the matched frozen tissue. In addition, the SRM assay was applied to a collection of histologically-characterized FFPE NSCLC patient tumor tissue where EGFR levels were quantitated from not detected (ND) to 670amol/μg. CONCLUSIONS This report describes and evaluates the performance of a robust and reproducible SRM assay designed for measuring EGFR directly in FFPE patient tumor tissue with accuracy at extremely low (attomolar) levels. This assay can be used as part of a complementary or companion diagnostic strategy to support novel therapies currently under development and demonstrates the potential to identify candidates for EGFR-inhibitor therapy, predict treatment outcome, and reveal mechanisms of therapeutic resistance.
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Affiliation(s)
- Todd Hembrough
- Onco Plex Diagnostics Inc, 9620 Medical Center Drive, Rockville, Maryland, 20850, USA.
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