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Ahuja V, Singh A, Paul D, Dasgupta D, Urajová P, Ghosh S, Singh R, Sahoo G, Ewe D, Saurav K. Recent Advances in the Detection of Food Toxins Using Mass Spectrometry. Chem Res Toxicol 2023; 36:1834-1863. [PMID: 38059476 PMCID: PMC10731662 DOI: 10.1021/acs.chemrestox.3c00241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 10/30/2023] [Accepted: 11/08/2023] [Indexed: 12/08/2023]
Abstract
Edibles are the only source of nutrients and energy for humans. However, ingredients of edibles have undergone many physicochemical changes during preparation and storage. Aging, hydrolysis, oxidation, and rancidity are some of the major changes that not only change the native flavor, texture, and taste of food but also destroy the nutritive value and jeopardize public health. The major reasons for the production of harmful metabolites, chemicals, and toxins are poor processing, inappropriate storage, and microbial spoilage, which are lethal to consumers. In addition, the emergence of new pollutants has intensified the need for advanced and rapid food analysis techniques to detect such toxins. The issue with the detection of toxins in food samples is the nonvolatile nature and absence of detectable chromophores; hence, normal conventional techniques need additional derivatization. Mass spectrometry (MS) offers high sensitivity, selectivity, and capability to handle complex mixtures, making it an ideal analytical technique for the identification and quantification of food toxins. Recent technological advancements, such as high-resolution MS and tandem mass spectrometry (MS/MS), have significantly improved sensitivity, enabling the detection of food toxins at ultralow levels. Moreover, the emergence of ambient ionization techniques has facilitated rapid in situ analysis of samples with lower time and resources. Despite numerous advantages, the widespread adoption of MS in routine food safety monitoring faces certain challenges such as instrument cost, complexity, data analysis, and standardization of methods. Nevertheless, the continuous advancements in MS-technology and its integration with complementary techniques hold promising prospects for revolutionizing food safety monitoring. This review discusses the application of MS in detecting various food toxins including mycotoxins, marine biotoxins, and plant-derived toxins. It also explores the implementation of untargeted approaches, such as metabolomics and proteomics, for the discovery of novel and emerging food toxins, enhancing our understanding of potential hazards in the food supply chain.
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Affiliation(s)
- Vishal Ahuja
- University
Institute of Biotechnology, Chandigarh University, Mohali, Punjab 140413, India
- University
Centre for Research & Development, Chandigarh
University, Mohali, Punjab 140413, India
| | - Amanpreet Singh
- Department
of Chemistry, University Institute of Science, Chandigarh University, Mohali, Punjab 140413, India
| | - Debarati Paul
- Amity
Institute of Biotechnology, AUUP, Noida, Uttar Pradesh 201313, India
| | - Diptarka Dasgupta
- Material
Resource Efficiency Division, CSIR-Indian
Institute of Petroleum, Dehradun 248005, India
| | - Petra Urajová
- Laboratory
of Algal Biotechnology-Centre Algatech, Institute of Microbiology of the Czech Academy of Sciences, Třeboň 379
01, Czech Republic
| | - Sounak Ghosh
- Laboratory
of Algal Biotechnology-Centre Algatech, Institute of Microbiology of the Czech Academy of Sciences, Třeboň 379
01, Czech Republic
| | - Roshani Singh
- Laboratory
of Algal Biotechnology-Centre Algatech, Institute of Microbiology of the Czech Academy of Sciences, Třeboň 379
01, Czech Republic
| | - Gobardhan Sahoo
- Laboratory
of Algal Biotechnology-Centre Algatech, Institute of Microbiology of the Czech Academy of Sciences, Třeboň 379
01, Czech Republic
| | - Daniela Ewe
- Laboratory
of Algal Biotechnology-Centre Algatech, Institute of Microbiology of the Czech Academy of Sciences, Třeboň 379
01, Czech Republic
| | - Kumar Saurav
- Laboratory
of Algal Biotechnology-Centre Algatech, Institute of Microbiology of the Czech Academy of Sciences, Třeboň 379
01, Czech Republic
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2
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Ramalhete L, Vigia E, Araújo R, Marques HP. Proteomics-Driven Biomarkers in Pancreatic Cancer. Proteomes 2023; 11:24. [PMID: 37606420 PMCID: PMC10443269 DOI: 10.3390/proteomes11030024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 07/28/2023] [Accepted: 08/03/2023] [Indexed: 08/23/2023] Open
Abstract
Pancreatic cancer is a devastating disease that has a grim prognosis, highlighting the need for improved screening, diagnosis, and treatment strategies. Currently, the sole biomarker for pancreatic ductal adenocarcinoma (PDAC) authorized by the U.S. Food and Drug Administration is CA 19-9, which proves to be the most beneficial in tracking treatment response rather than in early detection. In recent years, proteomics has emerged as a powerful tool for advancing our understanding of pancreatic cancer biology and identifying potential biomarkers and therapeutic targets. This review aims to offer a comprehensive survey of proteomics' current status in pancreatic cancer research, specifically accentuating its applications and its potential to drastically enhance screening, diagnosis, and treatment response. With respect to screening and diagnostic precision, proteomics carries the capacity to augment the sensitivity and specificity of extant screening and diagnostic methodologies. Nonetheless, more research is imperative for validating potential biomarkers and establishing standard procedures for sample preparation and data analysis. Furthermore, proteomics presents opportunities for unveiling new biomarkers and therapeutic targets, as well as fostering the development of personalized treatment strategies based on protein expression patterns associated with treatment response. In conclusion, proteomics holds great promise for advancing our understanding of pancreatic cancer biology and improving patient outcomes. It is essential to maintain momentum in investment and innovation in this arena to unearth more groundbreaking discoveries and transmute them into practical diagnostic and therapeutic strategies in the clinical context.
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Affiliation(s)
- Luís Ramalhete
- Blood and Transplantation Center of Lisbon—Instituto Português do Sangue e da Transplantação, Alameda das Linhas de Torres, n° 117, 1769-001 Lisbon, Portugal
- Nova Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisbon, Portugal
- iNOVA4Health—Advancing Precision Medicine, RG11: Reno-Vascular Diseases Group, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisbon, Portugal
| | - Emanuel Vigia
- Nova Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisbon, Portugal
- Centro Hospitalar de Lisboa Central, Department of Hepatobiliopancreatic and Transplantation, 1050-099 Lisbon, Portugal
| | - Rúben Araújo
- Nova Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisbon, Portugal
- CHRC—Comprehensive Health Research Centre, NOVA Medical School, 1150-199 Lisbon, Portugal
| | - Hugo Pinto Marques
- Nova Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, 1169-056 Lisbon, Portugal
- Centro Hospitalar de Lisboa Central, Department of Hepatobiliopancreatic and Transplantation, 1050-099 Lisbon, Portugal
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3
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Gianazza E, Zoanni B, Mallia A, Brioschi M, Colombo GI, Banfi C. Proteomic studies on apoB-containing lipoprotein in cardiovascular research: A comprehensive review. MASS SPECTROMETRY REVIEWS 2023; 42:1397-1423. [PMID: 34747518 DOI: 10.1002/mas.21747] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 08/05/2021] [Accepted: 08/16/2021] [Indexed: 06/07/2023]
Abstract
The complexity of cardiovascular diseases (CVDs), which remains the leading cause of death worldwide, makes the current clinical pathway for cardiovascular risk assessment unsatisfactory, as there remains a substantial unexplained residual risk. Simultaneous assessment of a large number of plasma proteins may be a promising tool to further refine risk assessment, and lipoprotein-associated proteins have the potential to fill this gap. Technical advances now allow for high-throughput proteomic analysis in a reproducible and cost-effective manner. Proteomics has great potential to identify and quantify hundreds of candidate marker proteins in a sample and allows the translation from isolated lipoproteins to whole plasma, thus providing an individual multiplexed proteomic fingerprint. This narrative review describes the pathophysiological roles of atherogenic apoB-containing lipoproteins and the recent advances in their mass spectrometry-based proteomic characterization and quantitation for better refinement of CVD risk assessment.
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Affiliation(s)
| | | | - Alice Mallia
- Centro Cardiologico Monzino, IRCCS, Milano, Italy
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4
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Qian L, Sun R, Xue Z, Guo T. Mass Spectrometry-based Proteomics of Epithelial Ovarian Cancers: a Clinical Perspective. Mol Cell Proteomics 2023:100578. [PMID: 37209814 PMCID: PMC10388592 DOI: 10.1016/j.mcpro.2023.100578] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 05/08/2023] [Accepted: 05/16/2023] [Indexed: 05/22/2023] Open
Abstract
Increasing proteomic studies focused on epithelial ovarian cancer (EOC) have attempted to identify early disease biomarkers, establish molecular stratification, and discover novel druggable targets. Here we review these recent studies from a clinical perspective. Multiple blood proteins have been used clinically as diagnostic markers. The ROMA test integrates CA125 and HE4, while the OVA1 and OVA2 tests analyze multiple proteins identified by proteomics. Targeted proteomics has been widely used to identify and validate potential diagnostic biomarkers in EOCs, but none has yet been approved for clinical adoption. Discovery proteomic characterization of bulk EOC tissue specimens has uncovered a large number of dysregulated proteins, proposed new stratification schemes, and revealed novel targets of therapeutic potential. A major hurdle facing clinical translation of these stratification schemes based on bulk proteomic profiling is intra-tumor heterogeneity, namely that single tumor specimens may harbor molecular features of multiple subtypes. We reviewed over 2500 interventional clinical trials of ovarian cancers since 1990, and cataloged 22 types of interventions adopted in these trials. Among 1418 clinical trials which have been completed or are not recruiting new patients, about 50% investigated chemotherapies. Thirty-seven clinical trials are at phase 3 or 4, of which 12 focus on PARP, 10 on VEGFR, 9 on conventional anti-cancer agents, and the remaining on sex hormones, MEK1/2, PD-L1, ERBB, and FRα. Although none of the foregoing therapeutic targets were discovered by proteomics, newer targets discovered by proteomics, including HSP90 and cancer/testis antigens, are being tested also in clinical trials. To accelerate the translation of proteomic findings to clinical practice, future studies need to be designed and executed to the stringent standards of practice-changing clinical trials. We anticipate that the rapidly evolving technology of spatial and single-cell proteomics will deconvolute the intra-tumor heterogeneity of EOCs, further facilitating their precise stratification and superior treatment outcomes.
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Affiliation(s)
- Liujia Qian
- iMarker lab, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang Province, China; Research Center for Industries of the Future, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang, 310030, China.
| | - Rui Sun
- iMarker lab, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang Province, China; Research Center for Industries of the Future, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang, 310030, China
| | - Zhangzhi Xue
- iMarker lab, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang Province, China; Research Center for Industries of the Future, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang, 310030, China
| | - Tiannan Guo
- iMarker lab, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang Province, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang Province, China; Research Center for Industries of the Future, Westlake University, 600 Dunyu Road, Hangzhou, Zhejiang, 310030, China.
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5
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Kim YM, Park SW, Lee MJ, Jeon DY, Sa SJ, Jeong YD, Seong HS, Choi JW, Hochi S, Cho ES, Chung HJ. Profiling of differentially expressed proteins between fresh and frozen-thawed Duroc boar semen using ProteinChip CM10. JOURNAL OF ANIMAL SCIENCE AND TECHNOLOGY 2023; 65:401-411. [PMID: 37093902 PMCID: PMC10119449 DOI: 10.5187/jast.2023.e27] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 03/07/2023] [Accepted: 03/13/2023] [Indexed: 04/25/2023]
Abstract
Many studies have been conducted to improve technology for semen cryopreservation in pigs. However, computer-assisted analysis of sperm motility and morphology is insufficient to predict the molecular function of frozen-thawed semen. More accurate expression patterns of boar sperm proteins may be derived using the isobaric tags for relative and absolute quantification (iTRAQ) technique. In this study, the iTRAQ-labeling system was coupled with liquid chromatography tandem-mass spectrometry (LC-MS/MS) analysis to identify differentially expressed CM10-fractionated proteins between fresh and frozen-thawed boar semen. A total of 76 protein types were identified to be differentially expressed, among which 9 and 67 proteins showed higher and lower expression in frozen-thawed than in fresh sperm samples, respectively. The classified functions of these proteins included oxidative phosphorylation, mitochondrial inner membrane and matrix, and pyruvate metabolic processes, which are involved in adenosine triphosphate (ATP) synthesis; and sperm flagellum and motile cilium, which are involved in sperm tail structure. These results suggest a possible network of biomarkers associated with survival after the cryopreservation of Duroc boar semen.
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Affiliation(s)
- Yong-Min Kim
- Planning and Coordination Division,
National Institute of Animal Science, Wanju 55365, Korea
| | - Sung-Woo Park
- Swine Science Division, National Institute
of Animal Science, Cheonan 31000, Korea
| | - Mi-Jin Lee
- TNT Research, Doosan Venture
Digm, Anyang 14059, Korea
| | - Da-Yeon Jeon
- Swine Science Division, National Institute
of Animal Science, Cheonan 31000, Korea
| | - Su-Jin Sa
- Swine Science Division, National Institute
of Animal Science, Cheonan 31000, Korea
| | - Yong-Dae Jeong
- Swine Science Division, National Institute
of Animal Science, Cheonan 31000, Korea
| | - Ha-Seung Seong
- Swine Science Division, National Institute
of Animal Science, Cheonan 31000, Korea
| | - Jung-Woo Choi
- Department of Animal Science, College of
Animal Life Sciences, Kangwon National University, Chuncheon
24341, Korea
| | - Shinichi Hochi
- Faculty of Textile Science and Technology,
Shinshu University, Nagano 386-8567, Japan
| | - Eun-Seok Cho
- Swine Science Division, National Institute
of Animal Science, Cheonan 31000, Korea
- Corresponding author: Eun-Seok Cho,
Swine Science Division, National Institute of Animal Science, Cheonan 31000,
Korea. Tel: +82-41-580-3457, E-mail:
| | - Hak-Jae Chung
- Swine Science Division, National Institute
of Animal Science, Cheonan 31000, Korea
- Corresponding author: Hak-Jae Chung,
Swine Science Division, National Institute of Animal Science, Cheonan 31000,
Korea. Tel: +82-41-580-3443, E-mail:
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Kartsova LA, Bessonova EA, Deev VA, Kolobova EA. Current Role of Modern Chromatography with Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy in the Investigation of Biomarkers of Endometriosis. Crit Rev Anal Chem 2023:1-24. [PMID: 36625278 DOI: 10.1080/10408347.2022.2156770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Endometriosis has a wide range of clinical manifestations, and the disease course is unpredictable, making the diagnosis a challenging task. Despite significant advances in the pathophysiology of endometriosis and various proposed theories, the exact etiology is not fully understood and is still unknown. The most commonly used biomarker of endometriosis is CA-125, however, it is nonspecific and is applied for cancers diagnosis. Therefore, the development of reliable noninvasive diagnostic tests for the early diagnosis of endometriosis remains one of the top priorities. Omics technologies are very promising approaches for constructing diagnostic models and biomarker discovery. Their use can greatly facilitate the study of such a complex disease as endometriosis. Nowadays, powerful analytical platforms commonly used in omics, such as gas and liquid chromatography with mass spectrometry and nuclear magnetic resonance (NMR) spectroscopy, have proven to be a promising tools for biomarker discovery. The aim of this review is to summarize the various features of the analytical approaches, practical challenges and features of gas and liquid chromatography with MS and NMR spectroscopy (including sample processing protocols, technological advancements, and methodology) used for profiling of metabolites, lipids, peptides and proteins in physiological fluids and tissues from patients with endometriosis. In addition, this report devotes special attention to the issue of how comprehensive analyses of these profiles can effectively contribute to the study of endometriosis. The search query included reports published between 2012 and 2022 years in PubMed, Web-of-Science, SCOPUS, Science Direct.
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Affiliation(s)
| | | | | | - Ekaterina Alekseevna Kolobova
- Institute of Chemistry, St. Petersburg State University, St. Petersburg, Russia
- The Federal State Institute of Public Health 'The Nikiforov Russian Center of Emergency and Radiation Medicine', The Ministry of Russian Federation for Civil Defence, Emergencies and Elimination of Consequences of Natural Disasters, St. Petersburg, Russia
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7
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From protein biomarkers to proteomics in dementia with Lewy Bodies. Ageing Res Rev 2023; 83:101771. [PMID: 36328346 DOI: 10.1016/j.arr.2022.101771] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 09/15/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022]
Abstract
Dementia with Lewy Bodies (DLB) is the second most common neurodegenerative dementia. Despite considerable research progress, there remain gaps in our understanding of the pathophysiology and there is no disease-modifying treatment. Proteomics is a powerful tool to elucidate complex biological pathways across heterogenous conditions. This review summarizes the widely used proteomic methods and presents evidence for protein dysregulation in the brain and peripheral tissues in DLB. Proteomics of post-mortem brain tissue shows that DLB shares common features with other dementias, such as synaptic dysfunction, but retains a unique protein signature. Promising diagnostic biomarkers are being identified in cerebrospinal fluid (CSF), blood, and peripheral tissues, such as serum Heart-type fatty acid binding protein. Research is needed to track these changes from the prodromal stage to established dementia, with standardized workflows to ensure replicability. Identifying novel protein targets in causative biological pathways could lead to the development of new targeted therapeutics or the stratification of participants for clinical trials.
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Nardone D, Ciaramella A, Cerreta M, Pulcrano S, Bellenchi GC, Leone L, Manco G, Febbraio F. Selymatra: A web application for protein-profiling analysis of mass spectra. Biotechnol Appl Biochem 2022; 69:1821-1829. [PMID: 34487563 PMCID: PMC9912196 DOI: 10.1002/bab.2249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 08/23/2021] [Indexed: 11/06/2022]
Abstract
Surface enhanced laser desorption/ionization-time of flight (SELDI-TOF) mass spectrometry is a variant of the matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry. It is used in many cases especially for the analysis of protein profiling and for preliminary screening of biomarkers in complex samples. Unfortunately, these analyses are time consuming and protein identification is generally strictly limited. SELDI-TOF analysis of mass spectra (SELYMATRA) is a web application (WA) developed to reduce these limitations by (i) automating the identification processes and (ii) introducing the possibility to predict proteins in complex mixtures from cells and tissues. The WA architectural pattern is the model-view-controller, commonly used in software development. The WA compares the mass value between two mass spectra (sample vs. control) to extract differences, and, according to the set parameters, it queries a local database to predict most likely proteins based on their masses and different expression amplification. The WA was validated in a cellular model overexpressing a tagged NURR1 receptor, being able to recognize the tagged protein in the profiling of transformed cells. A help page, including a description of parameters for WA use, is available on the website.
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Affiliation(s)
- Davide Nardone
- Department of Science and TechnologyUniversity of Naples ParthenopeNaplesItaly
| | - Angelo Ciaramella
- Department of Science and TechnologyUniversity of Naples ParthenopeNaplesItaly
| | - Mariangela Cerreta
- Institute of Biochemistry and Cellular BiologyNational Research CouncilNaples80131Italy
| | - Salvatore Pulcrano
- Institute of Genetic and Biophysics “A. Buzzati Traverso”National Research CouncilNaplesItaly
| | - Gian C. Bellenchi
- Institute of Genetic and Biophysics “A. Buzzati Traverso”National Research CouncilNaplesItaly
| | - Linda Leone
- Department of Chemical SciencesUniversity of Naples “Federico II”Naples80126Italy
| | - Giuseppe Manco
- Institute of Biochemistry and Cellular BiologyNational Research CouncilNaples80131Italy
| | - Ferdinando Febbraio
- Institute of Biochemistry and Cellular BiologyNational Research CouncilNaples80131Italy
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9
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Roberts A, Gandhi S. A brief review on novel biomarkers identified and advanced biosensing technologies developed for rapid diagnosis of Japanese Encephalitis Virus. PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY 2022. [PMCID: PMC9483901 DOI: 10.1007/s43538-022-00113-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Advanced biosensor technology research is imperative for the management of infectious disease outbreaks such as Japanese Encephalitis (JE), a zoonotic disease caused by the flavivirus JE virus (JEV) which is transmitted to humans (dead-end hosts) from the amplification host, pigs, via mosquitoes. To avoid future pandemic scenarios, proactive research rather than responsive research in the field of diagnostics is a requirement for development of rapid, sensitive and specific screening detection methods. In this mini-review, we have critically compared and evaluated the different types of biomarkers (antigen, antibody, nucleic acid) identified for JEV diagnostics and their specific roles in the manifestation of the infection which may be potentially used for therapeutics and drug development as no treatment is available for JE. Furthermore, different biosensors developed for the detection of JEV biomarkers have been discussed in detail to give an overview of the working principles (electrochemical, optical, etc.), fabrication components (signal amplifier, bioreceptor, etc.), detection limits and response times. This review provides a compact compiled base on available JEV diagnostic research work being currently carried out along with their limitations, future prospective, and major challenges faced. This will enable future development of rapid point-of-care diagnostic screening methods for JEV infection management, which may help reduce number of fatalities.
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Affiliation(s)
- Akanksha Roberts
- DBT-National Institute of Animal Biotechnology (NIAB), Hyderabad, Telangana 500032 India
- DBT-Regional Centre for Biotechnology (RCB), Faridabad, Haryana 121001 India
| | - Sonu Gandhi
- DBT-National Institute of Animal Biotechnology (NIAB), Hyderabad, Telangana 500032 India
- DBT-Regional Centre for Biotechnology (RCB), Faridabad, Haryana 121001 India
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10
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Martínez-Rodríguez F, Limones-González JE, Mendoza-Almanza B, Esparza-Ibarra EL, Gallegos-Flores PI, Ayala-Luján JL, Godina-González S, Salinas E, Mendoza-Almanza G. Understanding Cervical Cancer through Proteomics. Cells 2021; 10:1854. [PMID: 34440623 PMCID: PMC8391734 DOI: 10.3390/cells10081854] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 07/05/2021] [Accepted: 07/20/2021] [Indexed: 12/17/2022] Open
Abstract
Cancer is one of the leading public health issues worldwide, and the number of cancer patients increases every day. Particularly, cervical cancer (CC) is still the second leading cause of cancer death in women from developing countries. Thus, it is essential to deepen our knowledge about the molecular pathogenesis of CC and propose new therapeutic targets and new methods to diagnose this disease in its early stages. Differential expression analysis using high-throughput techniques applied to biological samples allows determining the physiological state of normal cells and the changes produced by cancer development. The cluster of differential molecular profiles in the genome, the transcriptome, or the proteome is analyzed in the disease, and it is called the molecular signature of cancer. Proteomic analysis of biological samples of patients with different grades of cervical intraepithelial neoplasia (CIN) and CC has served to elucidate the pathways involved in the development and progression of cancer and identify cervical proteins associated with CC. However, several cervical carcinogenesis mechanisms are still unclear. Detecting pathologies in their earliest stages can significantly improve a patient's survival rate, prognosis, and recurrence. The present review is an update on the proteomic study of CC.
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Affiliation(s)
- Fátima Martínez-Rodríguez
- Microbiology Department, Basic Science Center, Autonomous University of Aguascalientes, Aguascalientes 20100, Mexico;
| | | | - Brenda Mendoza-Almanza
- Academic Unit of Biological Sciences, Autonomous University of Zacatecas, Zacatecas 98068, Mexico; (B.M.-A.); (E.L.E.-I.); (P.I.G.-F.)
| | - Edgar L. Esparza-Ibarra
- Academic Unit of Biological Sciences, Autonomous University of Zacatecas, Zacatecas 98068, Mexico; (B.M.-A.); (E.L.E.-I.); (P.I.G.-F.)
| | - Perla I. Gallegos-Flores
- Academic Unit of Biological Sciences, Autonomous University of Zacatecas, Zacatecas 98068, Mexico; (B.M.-A.); (E.L.E.-I.); (P.I.G.-F.)
| | - Jorge L. Ayala-Luján
- Academic Unit of Chemical Sciences, Autonomous University of Zacatecas, Zacatecas 98160, Mexico; (J.L.A.-L.); (S.G.-G.)
| | - Susana Godina-González
- Academic Unit of Chemical Sciences, Autonomous University of Zacatecas, Zacatecas 98160, Mexico; (J.L.A.-L.); (S.G.-G.)
| | - Eva Salinas
- Microbiology Department, Basic Science Center, Autonomous University of Aguascalientes, Aguascalientes 20100, Mexico;
| | - Gretel Mendoza-Almanza
- Master in Biomedical Sciences, Autonomous University of Zacatecas, Zacatecas 98160, Mexico;
- National Council of Science and Technology, Autonomous University of Zacatecas, Zacatecas 98000, Mexico
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11
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Park HG, Jang KS, Park HM, Song WS, Jeong YY, Ahn DH, Kim SM, Yang YH, Kim YG. MALDI-TOF MS-based total serum protein fingerprinting for liver cancer diagnosis. Analyst 2019; 144:2231-2238. [PMID: 30849133 DOI: 10.1039/c8an02241k] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Serum is one of the most commonly used samples in many studies to identify protein biomarkers to diagnose cancer. Although conventional enzyme-linked immunosorbent assay (ELISA) or liquid chromatography-mass spectrometry (LC-MS)-based methods have been applied as clinical tools for diagnosing cancer, there have been troublesome problems, such as inferior multiplexing capabilities, high development costs and long turnaround times, which are inappropriate for high-throughput analytical platforms. Here, we developed a simple and robust cancer diagnostic method using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS)-based total serum protein fingerprinting. First, serum samples were simply diluted with distilled water and subsequently spotted onto a MALDI plate without prior chromatographic purification or separation. The sample preparation method was enough to collect reproducible total serum protein fingerprints and would be highly advantageous for high-throughput assay. Each of the integrated main spectrum profiles (MSPs), which are representative of liver cancer patients (n = 40) or healthy controls (n = 80), was automatically generated by the MALDI Biotyper 3 software. The reliability of the integrated MSPs was successfully evaluated in comparison with a blind test set (n = 31), which consisted of 13 liver cancer patients and 18 healthy controls. Additionally, our partial least squares discriminant analysis (PLS-DA) demonstrated a statistically significant difference in MALDI-TOF MS-based total serum protein fingerprints between liver cancer patients and healthy controls. Taken together, this work suggests that this method may be an effective high-throughput platform technology for various cancer diagnoses and disease evaluations.
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Affiliation(s)
- Han-Gyu Park
- Department of Chemical Engineering, Soongsil University, Seoul 06978, Korea.
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Complementarity of Matrix- and Nanostructure-Assisted Laser Desorption/Ionization Approaches. NANOMATERIALS 2019; 9:nano9020260. [PMID: 30769830 PMCID: PMC6410089 DOI: 10.3390/nano9020260] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 02/08/2019] [Accepted: 02/11/2019] [Indexed: 01/06/2023]
Abstract
In recent years, matrix-assisted laser desorption/ionization (MALDI) has become the main tool for the study of biological macromolecules, such as protein nano-machines, especially in the determination of their molecular masses, structure, and post-translational modifications. A key role in the classical process of desorption and ionization of the sample is played by a matrix, usually a low-molecular weight weak organic acid. Unfortunately, the interpretation of mass spectra in the mass range of below m/z 500 is difficult, and hence the analysis of low molecular weight compounds in a matrix-assisted system is an analytical challenge. Replacing the classical matrix with nanomaterials, e.g., silver nanoparticles, allows improvement of the selectivity and sensitivity of spectrometric measurement of biologically important small molecules. Nowadays, the nanostructure-assisted laser desorption/ionization (NALDI) approach complements the classic MALDI in the field of modern bioanalytics. In particular, the aim of this work is to review the recent advances in MALDI and NALDI approaches.
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Ma Q, Adua E, Boyce MC, Li X, Ji G, Wang W. IMass Time: The Future, in Future! ACTA ACUST UNITED AC 2018; 22:679-695. [DOI: 10.1089/omi.2018.0162] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Qingwei Ma
- Bioyong (Beijing) Technology Co., Ltd., Beijing, China
| | - Eric Adua
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Mary C. Boyce
- School of Science, Edith Cowan University, Joondalup, Australia
| | - Xingang Li
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Guang Ji
- China-Canada Centre of Research for Digestive Diseases, University of Ottawa, Ottawa, Canada
- Institute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wei Wang
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
- School of Public Health, Taishan Medical University, Taian, China
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Scebba F, Papale M, Rocchiccioli S, Ucciferri N, Bigazzi F, Sampietro T, Carpeggiani C, L'Abbate A, Coceani F, Angeloni D. Differential proteome profile in ischemic heart disease: Prognostic value in chronic angina versus myocardial infarction. A proof of concept. Clin Chim Acta 2017; 471:68-75. [DOI: 10.1016/j.cca.2017.05.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 05/09/2017] [Accepted: 05/09/2017] [Indexed: 12/18/2022]
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Zhao G, Xu B, Li X, Tang C, Qin H, Wang H, Yang S, Wang W, Gao H, He K, Liu X. [Detection of Serum Peptides in Patients with Lung Squamous Cell Carcinoma by MALDI-TOF-MS and Analysis of Their Correlation with Chemotherapy Efficacy]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2017; 20:318-325. [PMID: 28532539 PMCID: PMC5973065 DOI: 10.3779/j.issn.1009-3419.2017.05.04] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND Treatment options for patients with squamous cell carcinoma of the lung (SCC) are limited in chemotherapy. However, not all patients could benefit form standard platinum regimen. Considering the dismal prognosis of patients with advanced SCC, a greater focus on selecting sensitive chemotherapy regimens remains of upmost importance to improve outcomes in this disease. In this study, we used matrix-assisted laser desorption/ionization time-of-flight mass spectrometry to detect pre-chemotherapy serum peptides in advanced lung squamous cell carcinoma patients accepting paclitaxel combined with platinum chemotherapy and to analyze the correlation between serum peptides and chemotherapy efficacy. METHODS Patients with advanced lung squamous cell carcinoma received paclitaxel combining with platinum chemotherapy and evaluated the efficacy every two cycles. Evaluation of complete response (CR) or partial response (PR) patients defined as sensitive group, progressive disease (PD) patients defined as resistant group. Serum samples were collected from patients with lung squamous cell carcinoma. Eighty-one patients were randomly divided into training group (sensitive group I and resistant group I) and validation group (sensitive group II and resistant group II) according to the ratio of 3:1. Serum samples were pretreated and Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) was used to detect serum peptide fingerprints. ClinProTools software was used to analyze the differences between the sensitive group I and the resistant group I. Three kinds of biological algorithms (SNN, GA, QC) built in CPT software were used to establish the curative effect prediction model respectively and the optimal algorithm was selected. The validation group was used for blind verification. RESULTS Thirty sensitive patients and 31 resistant patients were enrolled in the training group. Ten sensitive patients and 10 resistant patients were included in the validation group. The training group had 96 differentially expressed peptides in the sensitive and resistant patients, with 16 statistically significant peptides (P<0.001). The predictive model was established by 5 polypeptides (1,897.75 Da, 2,023.93 Da, 3,683.36 Da, 4,269.56 Da, 5,341.29 Da). The recognition rate of this model was 89.18% and the cross validation rate was 95.11%. The accuracy of the model was 85%, the sensitivity was 90.0% and the specificity was 80.0%. The median PFS in the sensitive group was better than patients in the resistant group (7.2 months 95%CI: 4.4-14.5 vs 1.8 months 95%CI: 0.7-3.5). The results showed that the differential peptides 4,232.04 Da and 4,269.56 Da were correlated with PFS in patients with lung squamous cell carcinoma (P<0.001). CONCLUSIONS MALDI-TOF-MS was used to detect the difference of serum peptides between sensitive and resistant groups. The preliminary curative effect prediction model was used to predict the efficacy of paclitaxel combined with platinum regimen. However, this model need further investigations to verify the accuracy and the sensitivity.
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Affiliation(s)
- Guanhua Zhao
- Department of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China
| | - Bin Xu
- National Center of Biomedical Analysis, Beijing 100850, China
| | - Xiaoyan Li
- Department of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China
| | - Chuanhao Tang
- Department of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China
| | - Haifeng Qin
- Department of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China
| | - Hong Wang
- Department of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China
| | - Shaoxing Yang
- Department of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China
| | - Weixia Wang
- Department of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China
| | - Hongjun Gao
- Department of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China
| | - Kun He
- Department of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China
| | - Xiaoqing Liu
- Department of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China
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Basak T, Tanwar VS, Bhardwaj G, Bhardwaj N, Ahmad S, Garg G, V S, Karthikeyan G, Seth S, Sengupta S. Plasma proteomic analysis of stable coronary artery disease indicates impairment of reverse cholesterol pathway. Sci Rep 2016; 6:28042. [PMID: 27350024 PMCID: PMC4923873 DOI: 10.1038/srep28042] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2015] [Accepted: 05/26/2016] [Indexed: 11/19/2022] Open
Abstract
Coronary artery disease (CAD) is one of the largest causes of death worldwide yet the traditional risk factors, although useful in identifying people at high risk, lack the desired predictive accuracy. Techniques like quantitative plasma proteomics holds immense potential to identify newer markers and this study (conducted in three phases) was aimed to identify differentially expressed proteins in stable CAD patients. In the first (discovery) phase, plasma from CAD cases (angiographically proven) and controls were subjected to iTRAQ based proteomic analysis. Proteins found to be differentially expressed were then validated in the second and third (verification and validation) phases in larger number of (n = 546) samples. After multivariate logistic regression adjusting for confounding factors (age, diet, etc.), four proteins involved in the reverse cholesterol pathway (Apo A1, ApoA4, Apo C1 and albumin) along with diabetes and hypertension were found to be significantly associated with CAD and could account for approximately 88% of the cases as revealed by ROC analysis. The maximum odds ratio was found to be 6.70 for albumin (p < 0.0001), followed by Apo AI (5.07, p < 0.0001), Apo CI (4.03, p = 0.001), and Apo AIV (2.63, p = 0.003). Down-regulation of apolipoproteins and albumin implicates the impairment of reverse cholesterol pathway in CAD.
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Affiliation(s)
- Trayambak Basak
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India.,Academy of Scientific &Innovative Research, New Delhi, India
| | - Vinay Singh Tanwar
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - Gourav Bhardwaj
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - Nitin Bhardwaj
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - Shadab Ahmad
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - Gaurav Garg
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India
| | - Sreenivas V
- Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| | - Ganesan Karthikeyan
- Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India
| | - Sandeep Seth
- Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India
| | - Shantanu Sengupta
- Genomics and Molecular Medicine Unit, CSIR-Institute of Genomics and Integrative Biology, New Delhi, India.,Academy of Scientific &Innovative Research, New Delhi, India
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Wu C, Liu L, Zhao P, Tang D, Yao D, Zhu L, Wang Z. Potential Serum Markers for Monitoring the Progression of Hepatitis B Virus-Associated Chronic Hepatic Lesions to Liver Cirrhosis. Gut Liver 2016; 9:665-71. [PMID: 25963079 PMCID: PMC4562785 DOI: 10.5009/gnl14212] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND/AIMS To screen for serum protein/peptide biomarkers of hepatitis B virus (HBV)-associated chronic hepatic lesions in an attempt to profile the progression of HBV-associated chronic hepatic lesions using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) techniques. METHODS Using SELDI-TOF MS, serum protein/peptide profiles on the CM10 ProteinChip arrays were obtained from a training group including 26 HBV-associated hepatocellular carcinoma patients with liver cirrhosis (LC), 30 HBV-associated LC patients, 85 patients at different stages of liver fibrosis, and 30 asymptomatic HBV carriers. The most valuable SELDI peak for predicting the progression to LC in HBV-infected patients was identified. RESULTS A SELDI peak of M/Z 5805 with value for predicting LC in HBV-infected patients was found and was identified as a peptide of the C-terminal fraction of the fibrinogen a-chain precursor, isoform 1. CONCLUSIONS The peptide of the C-terminal fraction of the fibrinogen α-chain precursor, isoform 1 with M/Z 5805, may be a serological biomarker for progression to LC in HBV-infected patients.
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Affiliation(s)
- Cheng Wu
- Department of Digestive Endoscopy, Division of Southern Building, Chinese PLA General Hospital, Beijing,China
| | - Lijie Liu
- The Third Department of Geratology, The 401 Hospital, PLA, Qingdao, China
| | - Peng Zhao
- Department of Health Management Specialist Center of Hangzhou Sanatorium of PLA, Hangzhou, China
| | - Dan Tang
- Department of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Dingkang Yao
- Department of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Liang Zhu
- Department of Gastroenterology, Changzheng Hospital, Second Military Medical University, Shanghai, China
| | - Zhiqiang Wang
- Department of Digestive Endoscopy, Division of Southern Building, Chinese PLA General Hospital, Beijing,China
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Tracing the voyage of SELDI-TOF MS in cancer biomarker discovery and its current depreciation trend – need for resurrection? Trends Analyt Chem 2016. [DOI: 10.1016/j.trac.2015.10.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Scebba F, Tognotti D, Presciuttini G, Gabellieri E, Cioni P, Angeloni D, Basso B, Morelli E. A SELDI-TOF approach to ecotoxicology: comparative profiling of low molecular weight proteins from a marine diatom exposed to CdSe/ZnS quantum dots. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2016; 123:45-52. [PMID: 26323371 DOI: 10.1016/j.ecoenv.2015.08.024] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Revised: 08/19/2015] [Accepted: 08/21/2015] [Indexed: 06/04/2023]
Abstract
Quantum dots (QDs), namely semiconductor nanocrystals, due to their particular optical and electronic properties, have growing applications in device technology, biotechnology and biomedical fields. Nevertheless, the possible threat to human health and the environment have attracted increasing attention as the production and applications of QDs increases rapidly while standard evaluation of safety lags. In the present study we performed proteomic analyses, by means of 2D gel electrophoresis and Surface Enhanced Laser Desorption Ionization-Time of Flight-Mass Spectrometry (SELDI-TOF-MS). We aimed to identify potential biomarkers of exposure to CdSe/ZnS quantum dots. The marine diatom Phaeodactylum tricornutum exposed to 2.5nM QDs was used as a model system. Both 2DE and SELDI showed the presence of differentially expressed proteins. By Principal Component Analysis (PCA) we were able to show that the differentially expressed proteins can discriminate between exposed and not exposed cells. Furthermore, a protein profile specific for exposed cells was obtained by SELDI analysis. To our knowledge, this is the first example of the application of SELDI technology to the analysis of microorganisms used as biological sentinel model of marine environmental pollution.
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Affiliation(s)
- Francesca Scebba
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Piazza Martiri della Libertà 33, 56127 Pisa, Italy.
| | - Danika Tognotti
- National Research Council - Institute of Biophysics, Section of Pisa, Via Moruzzi, 1, 56124 Pisa, Italy
| | - Gianluca Presciuttini
- National Research Council - Institute of Biophysics, Section of Pisa, Via Moruzzi, 1, 56124 Pisa, Italy
| | - Edi Gabellieri
- National Research Council - Institute of Biophysics, Section of Pisa, Via Moruzzi, 1, 56124 Pisa, Italy
| | - Patrizia Cioni
- National Research Council - Institute of Biophysics, Section of Pisa, Via Moruzzi, 1, 56124 Pisa, Italy
| | - Debora Angeloni
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Piazza Martiri della Libertà 33, 56127 Pisa, Italy
| | - Barbara Basso
- National Research Council - Institute of Biophysics, Section of Pisa, Via Moruzzi, 1, 56124 Pisa, Italy
| | - Elisabetta Morelli
- National Research Council - Institute of Biophysics, Section of Pisa, Via Moruzzi, 1, 56124 Pisa, Italy
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Cenci L, Anesi A, Busato M, Guella G, Bossi AM. Molecularly imprinted polymers coupled to matrix assisted laser desorption ionization mass spectrometry for femtomoles detection of cardiac troponin I peptides. J Mol Recognit 2015; 29:41-50. [PMID: 26373625 DOI: 10.1002/jmr.2494] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Revised: 07/21/2015] [Accepted: 07/29/2015] [Indexed: 12/20/2022]
Abstract
Molecularly imprinted polymers (MIPs) were combined to MALDI-TOF-MS to evaluate a selective enrichment (SE) method for the determination of clinically relevant biomarkers from complex biological samples. The concept was proven with the myocardial injury marker Troponin I (cTnI). In a first part, MIP materials entailed for the recognition of cTnI epitopes (three peptides selected) were prepared and characterized in dimensions (0.7-2μm), dissociation constants (58-817 nM), kinetics of binding (5-60 min), binding capacity (ca. 1.5 µg/mg polymer), imprinting factors (3 > IF > 5) and selectivity for the peptide epitope. Then, the MIPs, incubated with cTnI peptides and spotted on the target with the DHB matrix, were assayed for the desorption of the peptides in MALDI-TOF-MS. The measured detection limit was ca. 300 femtomols. Finally, the MIP-SE MALDI-TOF-MS was tested for its ability to enrich in the cTnI peptides from a complex sample, mimic of serum (i.e. 81 peptides of digested albumin). The MIP-SE MALDI-TOF-MS successfully enriched in cTnI peptides from the complex sample proving the technique could offer a flexible platform to prepare entailed materials suitable for diagnostic purposes.
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Affiliation(s)
- Lucia Cenci
- University of Verona, Department of Biotechnology, Strada Le Grazie 15, 37134, Verona, Italy
| | - Andrea Anesi
- University of Trento, Department of Physics, Via Sommarive 14, 38123, Trento, Italy
| | - Mirko Busato
- University of Verona, Department of Biotechnology, Strada Le Grazie 15, 37134, Verona, Italy
| | - Graziano Guella
- University of Trento, Department of Physics, Via Sommarive 14, 38123, Trento, Italy
| | - Alessandra Maria Bossi
- University of Verona, Department of Biotechnology, Strada Le Grazie 15, 37134, Verona, Italy
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Atanassov C, Bonifait L, Perivier M, Gottschalk M, Grenier D. Candidate proteomic biomarkers for three genogroups of the swine pathogen Streptococcus suis serotype 2. BMC Microbiol 2015; 15:84. [PMID: 25886383 PMCID: PMC4450453 DOI: 10.1186/s12866-015-0401-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2014] [Accepted: 03/10/2015] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Streptococcus suis, more specifically serotype 2, is a major swine pathogen and an emerging zoonotic agent that causes severe infections such as meningitis, endocarditis, and septicemia. In this study, surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI) was used to investigate the protein expression profiles of 45 strains of S. suis serotype 2 that had previously been clustered by multilocus sequence typing (MLST) into three sequence types (ST1, ST25, and ST28) (n = 15 for each ST). RESULTS The SELDI data were analyzed using the univariate Mann-Whitney and Kruskal-Wallis tests and multivariate statistical methods (heatmap/hierarchical clustering). The heatmap identified 136 cell proteins, and hierarchical clustering provided a 100% correct classification of all fifteen ST1 and ST25 strains and thirteen of the fifteen ST28 strains (87% correct). The univariate statistical analyses of the SELDI protein expression profiles identified nine significant proteins that discriminated the strains of the three STs of S. suis. Of these proteins, two were overexpressed in ST1 (5958 Da and 10249 Da), four in ST25 (5989 Da, 6646 Da, 7421 Da, and 9825 Da), and three in ST28 (4516 Da, 7833 Da, and 9342 Da). Two of the proteins associated with the ST28 strains (p4516 and p9342) were purified and were identified as a putative ABC transporter and a nucleoid-DNA-binding protein, respectively. CONCLUSIONS SELDI analysis of 45 strains of S. suis allowed to identify nine statistically significant proteins that can be specifically correlated with either ST1, ST25 or ST28. The possible involvement of the overexpressed proteins in the pathology of S. suis infections will require further investigation.
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Affiliation(s)
- Christo Atanassov
- Laboratoire de Bactériologie-Hygiène, Centre Hospitalier Universitaire de Poitiers, Poitiers, France. .,EA 4331 LITEC, Pôle Biologie-Santé, Université de Poitiers, Poitiers, France.
| | - Laetitia Bonifait
- Groupe de Recherche en Écologie Buccale, Faculté de Médecine Dentaire, Université Laval, 2420 de la Terrasse, Quebec City, QC, G1V 0A6, Canada.
| | - Marylise Perivier
- EA 4331 LITEC, Pôle Biologie-Santé, Université de Poitiers, Poitiers, France.
| | - Marcelo Gottschalk
- Groupe de Recherche sur les Maladies Infectieuses du Porc, Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe, QC, Canada. .,Centre de Recherche en Infectiologie Porcine et Avicole (CRIPA), Fonds de Recherche du Québec - Nature et Technologies (FRQNT), Saint-Hyacinthe, QC, Canada.
| | - Daniel Grenier
- Groupe de Recherche en Écologie Buccale, Faculté de Médecine Dentaire, Université Laval, 2420 de la Terrasse, Quebec City, QC, G1V 0A6, Canada. .,Centre de Recherche en Infectiologie Porcine et Avicole (CRIPA), Fonds de Recherche du Québec - Nature et Technologies (FRQNT), Saint-Hyacinthe, QC, Canada.
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Cho YT, Su H, Wu WJ, Wu DC, Hou MF, Kuo CH, Shiea J. Biomarker Characterization by MALDI-TOF/MS. Adv Clin Chem 2015; 69:209-54. [PMID: 25934363 DOI: 10.1016/bs.acc.2015.01.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Mass spectrometric techniques frequently used in clinical diagnosis, such as gas chromatography-mass spectrometry, liquid chromatography-mass spectrometry, ambient ionization mass spectrometry, and matrix-assisted laser desorption ionization/time-of-flight mass spectrometry (MALDI-TOF/MS), are discussed. Due to its ability to rapidly detect large biomolecules in trace amounts, MALDI-TOF/MS is an ideal tool for characterizing disease biomarkers in biologic samples. Clinical applications of MS for the identification and characterization of microorganisms, DNA fragments, tissues, and biofluids are introduced. Approaches for using MALDI-TOF/MS to detect various disease biomarkers including peptides, proteins, and lipids in biological fluids are further discussed. Finally, various sample pretreatment methods which improve the detection efficiency of disease biomarkers are introduced.
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Affiliation(s)
- Yi-Tzu Cho
- Department of Cosmetic Applications and Management, Yuh-Ing Junior College of Health Care & Management, Kaohsiung, Taiwan
| | - Hung Su
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Wen-Jeng Wu
- Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Deng-Chyang Wu
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Center for Stem Cell Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Feng Hou
- Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Cancer Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Chao-Hung Kuo
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Center for Stem Cell Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jentaie Shiea
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung, Taiwan; Center for Stem Cell Research, Kaohsiung Medical University, Kaohsiung, Taiwan; Cancer Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Department of Medicinal and Applied Chemistry, Kaohsiung Medical University, Kaohsiung, Taiwan.
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Ko HL, Wang YS, Fong WL, Chi MS, Chi KH, Kao SJ. Apolipoprotein C1 (APOC1) as a novel diagnostic and prognostic biomarker for lung cancer: A marker phase I trial. Thorac Cancer 2014; 5:500-8. [PMID: 26767044 DOI: 10.1111/1759-7714.12117] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2014] [Accepted: 03/22/2014] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Tumor cells continuously evolve over time in response to host pressures. However, explanations as to how tumor cells are influenced by the inflammatory tumor microenvironment over time are, to date, poorly defined. We hypothesized that prognostic biomarkers could be obtained by exploring the expression of inflammation-associated genes between early and late stage lung cancer tumor samples. METHODS Candidate inflammation-associated genes, apolipoprotein C-1 (APOC1), MMP1, KMO)1, CXCL5, CXCL)7, IL-1α, IL-1β, TNF-α and IL-6 were verified by real-time quantitative polymerase chain reaction. Gene expression profiles and immunofluorescence staining of 30 lung cancer tissues were compared. RESULTS Expressions of APOC1 and IL-6 mRNA on tumor tissues in late stage disease were significantly higher than in early stage lung cancer samples. Immunofluorescence staining of tumor samples showed that the expression of APOC1 gradually increased from early to late stage in lung cancer patients. The expression levels of IL-6 and APOC1 in tumor samples were positively correlated; however, no prognostic value of APOC1 can be identified in serum samples. CONCLUSIONS We found that the level of tumor APOC1 was highly expressed in late stage lung cancer. Further research is warranted to determine the molecular mechanisms underlying the cross talk of APOC1 and IL-6 in tumor progression. An expanded sample size marker phase II study may lead to the discovery of new lung cancer therapeutics targeting APOC1.
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Affiliation(s)
- Hui-Ling Ko
- Department of Radiation Therapy and Oncology, Shin Kong Wu Ho-Su Memorial Hospital Taipei, Taiwan
| | - Yu-Shan Wang
- Department of Radiation Therapy and Oncology, Shin Kong Wu Ho-Su Memorial Hospital Taipei, Taiwan
| | - Weng-Lam Fong
- Department of Radiation Therapy and Oncology, Shin Kong Wu Ho-Su Memorial Hospital Taipei, Taiwan
| | - Mau-Shin Chi
- Department of Radiation Therapy and Oncology, Shin Kong Wu Ho-Su Memorial Hospital Taipei, Taiwan
| | - Kwan-Hwa Chi
- Department of Radiation Therapy and Oncology, Shin Kong Wu Ho-Su Memorial Hospital Taipei, Taiwan
| | - Shang-Jyh Kao
- Division of Chest Medicine, Shin Kong Wu Ho-Su Memorial Hospital Taipei, Taiwan
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Abstract
AbstractLung cancer is one of the most common cancers in terms of both incidence and mortality.The major reasons for the increasing number of deaths from lung cancer are late detection and lack of effective therapies. To improve our understanding of lung cancer biology, there is urgent need for blood-based, non-invasive molecular tests to assist in its detection in a cost-effective manner at an early stage when curative interventions are still possible. Recent advances in proteomic technology have provided extensive, high throughput analytical tools for identification, characterization and functional studies of proteomes. Changes in protein expression patterns in response to stimuli can serve as indicators or biomarkers of biological and pathological processes as well as physiological and pharmacological responses to drug treatment, thus aiding in early diagnosis and prognosis of disease. However, only a few biomarkers have been approved by the FDA to date for screening and diagnostic purposes. This review provides a brief overview of currently available proteomic techniques, their applications and limitations and the current state of knowledge about important serum biomarkers in lung cancer and their potential value as prognostic and diagnostic tools.
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Rodrigo MAM, Zitka O, Krizkova S, Moulick A, Adam V, Kizek R. MALDI-TOF MS as evolving cancer diagnostic tool: a review. J Pharm Biomed Anal 2014; 95:245-55. [PMID: 24699369 DOI: 10.1016/j.jpba.2014.03.007] [Citation(s) in RCA: 67] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2014] [Revised: 03/03/2014] [Accepted: 03/06/2014] [Indexed: 02/09/2023]
Abstract
Recent developments in mass spectrometry have introduced clinical proteomics to the forefront of diseases diagnosis, offering reliable, robust and efficient analytical method for biomarker discovery and monitoring. MALDI-TOF is a powerful tool for surveying proteins and peptides comprising the realm for clinical analysis. MALDI-TOF has the potential to revolutionize cancer diagnostics by facilitating biomarker discovery, enabling tissue imaging and quantifying biomarker levels. Healthy (control) and cancerous tissues can be analyzed on the basis of mass spectrometry (MALDI-TOF) imaging to identify cancer-specific changes that may prove to be clinically useful. We review MALDI-TOF profiling techniques as tools for detection of cancer biomarkers in various cancers. We mainly discuss recent advances including period from 2011 to 2013.
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Affiliation(s)
- Miguel Angel Merlos Rodrigo
- Department of Chemistry and Biochemistry, Faculty of Agronomy, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Ondrej Zitka
- Department of Chemistry and Biochemistry, Faculty of Agronomy, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Sona Krizkova
- Department of Chemistry and Biochemistry, Faculty of Agronomy, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Amitava Moulick
- Department of Chemistry and Biochemistry, Faculty of Agronomy, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Vojtech Adam
- Department of Chemistry and Biochemistry, Faculty of Agronomy, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic
| | - Rene Kizek
- Department of Chemistry and Biochemistry, Faculty of Agronomy, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic; Central European Institute of Technology, Brno University of Technology, Technicka 3058/10, CZ-616 00 Brno, Czech Republic.
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Xu DD, Deng DF, Li X, Wei LL, Li YY, Yang XY, Yu W, Wang C, Jiang TT, Li ZJ, Chen ZL, Zhang X, Liu JY, Ping ZP, Qiu YQ, Li JC. Discovery and identification of serum potential biomarkers for pulmonary tuberculosis using iTRAQ-coupled two-dimensional LC-MS/MS. Proteomics 2014; 14:322-31. [PMID: 24339194 DOI: 10.1002/pmic.201300383] [Citation(s) in RCA: 65] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2013] [Revised: 11/22/2013] [Accepted: 11/29/2013] [Indexed: 11/08/2022]
Abstract
Pulmonary tuberculosis (TB) caused by Mycobacterium tuberculosis is a chronic disease. Currently, there are no sufficiently validated biomarkers for early diagnosis of TB infection. In this study, a panel of potential serum biomarkers was identified between patients with pulmonary TB and healthy controls by using iTRAQ-coupled 2D LC-MS/MS technique. Among 100 differentially expressed proteins screened, 45 proteins were upregulated (>1.25-fold at p < 0.05) and 55 proteins were downregulated (<0.8-fold at p < 0.05) in the TB serum. Bioinformatics analysis revealed that the differentially expressed proteins were related to the response to stimulus, the metabolic and immune system processes. The significantly differential expression of apolipoprotein CII (APOCII), CD5 antigen-like (CD5L), hyaluronan-binding protein 2 (HABP2), and retinol-binding protein 4 (RBP4) was further confirmed using immunoblotting and ELISA analysis. By forward stepwise multivariate regression analysis, a panel of serum biomarkers including APOCII, CD5L, and RBP4 was obtained to form the disease diagnostic model. The receiver operation characteristic curve of the diagnostic model was 0.98 (sensitivity = 93.42%, specificity = 92.86%). In conclusion, APOCII, CD5L, HABP2, and RBP4 may be potential protein biomarkers of pulmonary TB. Our research provides useful data for early diagnosis of TB.
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Affiliation(s)
- Dan-Dan Xu
- Institute of Cell Biology, Zhejiang University, Hangzhou, P. R. China
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Thongboonkerd V. Proteomics in leptospirosis research: towards molecular diagnostics and vaccine development. Expert Rev Mol Diagn 2014; 8:53-61. [DOI: 10.1586/14737159.8.1.53] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Meling S, Kvalheim OM, Arneberg R, Bårdsen K, Hjelle A, Ulvund MJ. Investigation of serum protein profiles in scrapie infected sheep by means of SELDI-TOF-MS and multivariate data analysis. BMC Res Notes 2013; 6:466. [PMID: 24229425 PMCID: PMC3843553 DOI: 10.1186/1756-0500-6-466] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2013] [Accepted: 11/04/2013] [Indexed: 01/18/2023] Open
Abstract
Background Classical scrapie in sheep is a fatal neurodegenerative disease associated with the conversion PrPC to PrPSc. Much is known about genetic susceptibility, uptake and dissemination of PrPSc in the body, but many aspects of prion diseases are still unknown. Different proteomic techniques have been used during the last decade to investigate differences in protein profiles between affected animals and healthy controls. We have investigated the protein profiles in serum of sheep with scrapie and healthy controls by SELDI-TOF-MS and LC-MS/MS. Latent Variable methods such as Principal Component Analysis, Partial Least Squares-Discriminant Analysis and Target Projection methods were used to describe the MS data. Results The serum proteomic profiles showed variable differences between the groups both throughout the incubation period and at the clinical end stage of scrapie. At the end stage, the target projection model separated the two groups with a sensitivity of 97.8%, and serum amyloid A was identified as one of the protein peaks that differed significantly between the groups. Conclusions At the clinical end stage of classical scrapie, ten SELDI peaks significantly discriminated the scrapie group from the healthy controls. During the non-clinical incubation period, individual SELDI peaks were differently expressed between the groups at different time points. Investigations of differences in -omic profiles can contribute to new insights into the underlying disease processes and pathways, and advance our understanding of prion diseases, but comparison and validation across laboratories is difficult and challenging.
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Affiliation(s)
- Siv Meling
- Department of Production Animal Clinical Sciences, Section for Small Ruminant Research, Norwegian School of Veterinary Science, Kyrkjevegen 332-334, N-4325, Sandnes, Norway.
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Guha N, Cowan DA, Sönksen PH, Holt RIG. Insulin-like growth factor-I (IGF-I) misuse in athletes and potential methods for detection. Anal Bioanal Chem 2013; 405:9669-83. [DOI: 10.1007/s00216-013-7229-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2013] [Revised: 07/02/2013] [Accepted: 07/08/2013] [Indexed: 11/30/2022]
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Azzam S, Broadwater L, Li S, Freeman EJ, McDonough J, Gregory RB. A SELDI mass spectrometry study of experimental autoimmune encephalomyelitis: sample preparation, reproducibility, and differential protein expression patterns. Proteome Sci 2013; 11:19. [PMID: 23635033 PMCID: PMC3682907 DOI: 10.1186/1477-5956-11-19] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2012] [Accepted: 03/25/2013] [Indexed: 12/21/2022] Open
Abstract
Background Experimental autoimmune encephalomyelitis (EAE) is an autoimmune, inflammatory disease of the central nervous system that is widely used as a model of multiple sclerosis (MS). Mitochondrial dysfunction appears to play a role in the development of neuropathology in MS and may also play a role in disease pathology in EAE. Here, surface enhanced laser desorption ionization mass spectrometry (SELDI-MS) has been employed to obtain protein expression profiles from mitochondrially enriched fractions derived from EAE and control mouse brain. To gain insight into experimental variation, the reproducibility of sub-cellular fractionation, anion exchange fractionation as well as spot-to-spot and chip-to-chip variation using pooled samples from brain tissue was examined. Results Variability of SELDI mass spectral peak intensities indicates a coefficient of variation (CV) of 15.6% and 17.6% between spots on a given chip and between different chips, respectively. Thinly slicing tissue prior to homogenization with a rotor homogenizer showed better reproducibility (CV = 17.0%) than homogenization of blocks of brain tissue with a Teflon® pestle (CV = 27.0%). Fractionation of proteins with anion exchange beads prior to SELDI-MS analysis gave overall CV values from 16.1% to 18.6%. SELDI mass spectra of mitochondrial fractions obtained from brain tissue from EAE mice and controls displayed 39 differentially expressed proteins (p≤ 0.05) out of a total of 241 protein peaks observed in anion exchange fractions. Hierarchical clustering analysis showed that protein fractions from EAE animals with severe disability clearly segregated from controls. Several components of electron transport chain complexes (cytochrome c oxidase subunit 6b1, subunit 6C, and subunit 4; NADH dehydrogenase flavoprotein 3, alpha subcomplex subunit 2, Fe-S protein 4, and Fe-S protein 6; and ATP synthase subunit e) were identified as possible differentially expressed proteins. Myelin Basic Protein isoform 8 (MBP8) (14.2 kDa) levels were lower in EAE samples with advanced disease relative to controls, while an MBP fragment (12. 4kDa), likely due to calpain digestion, was increased in EAE relative to controls. The appearance of MBP in mitochondrially enriched fractions is due to tissue freezing and storage, as MBP was not found associated with mitochondria obtained from fresh tissue. Conclusions SELDI mass spectrometry can be employed to explore the proteome of a complex tissue (brain) and obtain protein profiles of differentially expressed proteins from protein fractions. Appropriate homogenization protocols and protein fractionation using anion exchange beads can be employed to reduce sample complexity without introducing significant additional variation into the SELDI mass spectra beyond that inherent in the SELDI- MS method itself. SELDI-MS coupled with principal component analysis and hierarchical cluster analysis provides protein patterns that can clearly distinguish the disease state from controls. However, identification of individual differentially expressed proteins requires a separate purification of the proteins of interest by polyacrylamide electrophoresis prior to trypsin digestion and peptide mass fingerprint analysis, and unambiguous identification of differentially expressed proteins can be difficult if protein bands consist of several proteins with similar molecular weights.
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Affiliation(s)
- Sausan Azzam
- Department of Chemistry and Biochemistry, Kent State University, Kent, Ohio 44242, USA.
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Identifying Serum Biomarkers for Ovarian Cancer by Screening With Surface-Enhanced Laser Desorption/Ionization Mass Spectrometry and the Artificial Neural Network. Int J Gynecol Cancer 2013; 23:667-72. [DOI: 10.1097/igc.0b013e31827e1989] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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L.S. Tang N, Poon T, Poon TCW. Advances in MALDI mass spectrometry in clinical diagnostic applications. Top Curr Chem (Cham) 2013; 336:139-75. [PMID: 23563502 PMCID: PMC7121589 DOI: 10.1007/128_2012_413] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The concept of matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) was first reported in 1985. Since then, MALDI MS technologies have been evolving, and successfully used in genome, proteome, metabolome, and clinical diagnostic research. These technologies are high-throughput and sensitive. Emerging evidence has shown that they are not only useful in qualitative and quantitative analyses of proteins, but also of other types of biomolecules, such as DNA, glycans, and metabolites. Recently, parallel fragmentation monitoring (PFM), which is a method comparable to selected reaction monitoring, has been reported. This highlights the potentials of MALDI-TOF/TOF tandem MS in quantification of metabolites. Here we critically review the applications of the major MALDI MS technologies, including MALDI-TOF MS, MALDI-TOF/TOF MS, SALDI-TOF MS, MALDI-QqQ MS, and SELDI-TOF MS, to the discovery and quantification of disease biomarkers in biological specimens, especially those in plasma/serum specimens. Using SELDI-TOF MS as an example, the presence of systemic bias in biomarker discovery studies employing MALDI-TOF MS and its possible solutions are also discussed in this chapter. The concepts of MALDI, SALDI, SELDI, and PFM are complementary to each other. Theoretically, all these technologies can be combined, leading to the next generation of the MALDI MS technologies. Real applications of MALDI MS technologies in clinical diagnostics should be forthcoming.
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Affiliation(s)
- Nelson L.S. Tang
- grid.10784.3a0000000419370482Dept. of Chemical Pathology and Lab. of Genetics of Disease Suscept., The Chinese University of Hong Kong, Hong Kong, People's Republic of China
| | - Terence Poon
- grid.10784.3a0000000419370482Department of Paediatrics and Proteomics Laboratory, The Chinese University of Hong Kong, Hong Kong, People's Republic of China
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Jiang M, Gu G, Ni B, Wang W, Shi J, Liao P, Hu H. Detection of serum protein biomarkers by surface enhanced laser desorption/ionization in patients with adenocarcinoma of the lung. Asia Pac J Clin Oncol 2013; 10:e7-12. [PMID: 23441957 DOI: 10.1111/ajco.12057] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/18/2012] [Indexed: 11/28/2022]
Abstract
AIM Early diagnosis of lung cancer is important for successful treatment and improving the outcome of patients. We explored novel tools for screening serum biomarkers to distinguish adenocarcinoma of the lung from healthy controls by serum protein profiles. METHODS Serum samples were taken from 31 patients with adenocarcinoma of the lung and 31 healthy controls, matched for age, sex and smoking status. Serum samples were applied to strong anion 2(SAX-2) protein chips to generate mass spectra by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Protein peak identification and clustering were performed using Biomarker Wizard, compared by MATLAB 7.5 and a classification tree was constructed using R weka software. The validity of the classification tree was then challenged with a blind test. RESULTS The software identified 102 peaks and m/z 14022.9 and m/z 3735.99 was used to construct a classification tree. The classification tree effectively separated adenocarcinoma of lung patients from healthy controls, achieving a validity of 100%. The blind test challenged the model with a sensitivity of 100% and a specificity of 100%. CONCLUSION The results suggested that the SELDI-TOF-MS technique can correctly distinguish adenocarcinoma of lung patients from healthy controls and showed great potential for development as a screening test for the detection of lung cancer.
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Affiliation(s)
- Min Jiang
- 1st Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
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Dong SY, Sun XN, Zeng Q, Xu Y, Sun J, Ma LH. Proteomic analysis of adverse outcomes in patients with acute coronary syndromes. Clin Chim Acta 2013. [DOI: 10.1016/j.cca.2012.11.019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Lanotte P, Perivier M, Haguenoer E, Mereghetti L, Burucoa C, Claverol S, Atanassov C. Proteomic biomarkers associated with Streptococcus agalactiae invasive genogroups. PLoS One 2013; 8:e54393. [PMID: 23372719 PMCID: PMC3553121 DOI: 10.1371/journal.pone.0054393] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2012] [Accepted: 12/11/2012] [Indexed: 11/18/2022] Open
Abstract
Group B streptococcus (GBS, Streptococcus agalactiae) is a leading cause of meningitis and sepsis in newborns and an etiological agent of meningitis, endocarditis, osteoarticular and soft tissue infections in adults. GBS isolates are routinely clustered in serotypes and in genotypes. At present one GBS sequence type (i.e. ST17) is considered to be closely associated with bacterial invasiveness and novel proteomic biomarkers could make a valuable contribution to currently available GBS typing data. For that purpose we analyzed the protein profiles of 170 genotyped GBS isolates by Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI). Univariate statistical analysis of the SELDI profiles identified four protein biomarkers significantly discriminating ST17 isolates from those of the other sequence types. Two of these biomarkers (MW of 7878 Da and 12200 Da) were overexpressed and the other two (MW of 6258 Da and 10463 Da) were underexpressed in ST17. The four proteins were isolated by mass spectrometry-assisted purification and their tryptic peptides analyzed by LC-MS/MS. They were thereby identified as the small subunit of exodeoxyribonuclease VII, the 50S ribosomal protein L7/L12, a CsbD-like protein and thioredoxin, respectively. In conclusion, we identified four candidate biomarkers of ST17 by SELDI for high-throughput screening. These markers may serve as a basis for further studies on the pathophysiology of GBS infection, and for the development of novel vaccines.
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Affiliation(s)
- Philippe Lanotte
- Equipe “Bactéries et risque materno-fœtal”, UMR 1282 ISP, Université François Rabelais de Tours, Tours, France
- Equipe “Bactéries et risque materno-fœtal”, UMR 1282 ISP, INRA, Nouzilly, France
- Service de Bactériologie et de Virologie, CHRU de Tours, Tours, France
| | | | - Eve Haguenoer
- Equipe “Bactéries et risque materno-fœtal”, UMR 1282 ISP, Université François Rabelais de Tours, Tours, France
- Equipe “Bactéries et risque materno-fœtal”, UMR 1282 ISP, INRA, Nouzilly, France
- Service de Bactériologie et de Virologie, CHRU de Tours, Tours, France
| | - Laurent Mereghetti
- Equipe “Bactéries et risque materno-fœtal”, UMR 1282 ISP, Université François Rabelais de Tours, Tours, France
- Equipe “Bactéries et risque materno-fœtal”, UMR 1282 ISP, INRA, Nouzilly, France
- Service de Bactériologie et de Virologie, CHRU de Tours, Tours, France
| | - Christophe Burucoa
- Service de Bactériologie-Hygiène, CHU de Poitiers, Poitiers, France
- Equipe d'accueil 4331 “Laboratoire Inflammation, Tissus Epithéliaux et Cytokines”, Université de Poitiers, Poitiers, France
| | - Stéphane Claverol
- Pôle Protéomique - Centre de Génomique Fonctionnelle, Université Victor Segalen - Bordeaux 2, Bordeaux, France
| | - Christo Atanassov
- Service de Bactériologie-Hygiène, CHU de Poitiers, Poitiers, France
- Equipe d'accueil 4331 “Laboratoire Inflammation, Tissus Epithéliaux et Cytokines”, Université de Poitiers, Poitiers, France
- * E-mail:
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Abstract
Sepsis is among the most common causes of death in hospitals. It arises from the host response to infection. Currently, diagnosis relies on nonspecific physiological criteria and culture-based pathogen detection. This results in diagnostic uncertainty, therapeutic delays, the mis- and overuse of antibiotics, and the failure to identify patients who might benefit from immunomodulatory therapies. There is a need for new sepsis biomarkers that can aid in therapeutic decision making and add information about screening, diagnosis, risk stratification, and monitoring of the response to therapy. The host response involves hundreds of mediators and single molecules, many of which have been proposed as biomarkers. It is, however, unlikely that one single biomarker is able to satisfy all the needs and expectations for sepsis research and management. Among biomarkers that are measurable by assays approved for clinical use, procalcitonin (PCT) has shown some usefulness as an infection marker and for antibiotic stewardship. Other possible new approaches consist of molecular strategies to improve pathogen detection and molecular diagnostics and prognostics based on transcriptomic, proteomic, or metabolic profiling. Novel approaches to sepsis promise to transform sepsis from a physiologic syndrome into a group of distinct biochemical disorders and help in the development of better diagnostic tools and effective adjunctive sepsis therapies.
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Abstract
Alcohol abuse can lead to a number of health and social issues. Our current inability to accurately assess long-term drinking behaviors is an important obstacle to its diagnosis and treatment. Biomarkers for chronic alcohol consumption have made a number of important advances but have yet to become highly accurate and as accepted as objective tests for other diseases. Thus, there is a crucial need for the development of more sensitive and specific markers of alcohol abuse. Recent advancements in proteomic technologies have greatly increased the potential for alcohol abuse biomarker discovery. Here, the authors review established and novel protein biomarkers for long-term alcohol consumption and the proteomic technologies that have been used in their study.
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Affiliation(s)
- Mariana P Torrente
- Department of Pharmacology, Pennsylvania State University College of Medicine, 500 University Drive, Hershey, PA 17033, USA
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Zhang L, Ludgate ME. The search for biomarkers of disease: surface-enhanced laser desorption/ionization time-of-flight mass spectrometry, tears, and thyroid-associated ophthalmopathy. Thyroid 2012; 22:981-3. [PMID: 23025538 DOI: 10.1089/thy.2012.2210.ed2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Ganesh V, Hettiarachchy NS. Nutriproteomics: A promising tool to link diet and diseases in nutritional research. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2012; 1824:1107-17. [DOI: 10.1016/j.bbapap.2012.06.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2012] [Revised: 05/25/2012] [Accepted: 06/13/2012] [Indexed: 12/25/2022]
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SELDI-TOF-MS Serum Profiling Reveals Predictors of Cardiac MRI Changes in Marathon Runners. INTERNATIONAL JOURNAL OF PROTEOMICS 2012; 2012:679301. [PMID: 22988506 PMCID: PMC3439948 DOI: 10.1155/2012/679301] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2012] [Accepted: 06/29/2012] [Indexed: 11/18/2022]
Abstract
Purpose. To utilize proteomics to discover proteins associated with significant cardiac magnetic resonance imaging (MRI) changes in marathon runners. Methods. Serum from 25 runners was analyzed by surface enhanced laser desorption ionization time-of-flight mass spectrometry (SELDI-TOF-MS). Proteomic profiles were compared in serum samples obtained prior to the race, at the finish line and within 7 hours after race to identify dynamic proteins correlated with cardiac MRI changes. Results. 693 protein/peptide clusters were identified using two ProteinChip surface chemistries and, of these, 116 were significantly different between the three time points. We identified 7 different patterns of protein expression change within the runners and 5 prerace protein peaks, 16 finish-line protein levels, and 15 postrace proteins which were correlated with significant postrace cardiac MRI changes. Conclusions. This study has identified baseline levels of proteins which may be predictive of risk of significant cardiac damage following a marathon race. Preliminary identification of the significant proteins suggested the involvement of cytokines and other proteins involved in stress and inflammatory response.
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Wang XL, Gao CF, Fan NJ. Diagnosis of colorectal cancer by MALDI-TOF-MS combined with WCX magnetic beads. Shijie Huaren Xiaohua Zazhi 2012; 20:1900-1905. [DOI: 10.11569/wcjd.v20.i20.1900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
AIM: To explore the difference in serum proteomic spectra between patients with colorectal cancer and healthy individuals, and to identify the specific protein biomarkers.
METHODS: Serum samples collected from 67 colorectal cancer patients and 66 healthy individuals were randomized into model construction group and validation group. Magnetic beads-based weak cation exchange (MB-WCX) kit and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) were used to profile serum proteome. Flex analysis software was used to analyze protein peaks for significant difference. A diagnostic model was then built using ClinproTools2.2software and evaluated blindly for reliability.
RESULTS: Thirty-three differentially expressed proteins in serum were screened between colorectal cancer patients and healthy individuals, including 25 up-regulated proteins and 8 down-regulated ones. Five proteins (759, 3316, 4645, 4248, and 2645 Dr) were used for building a ClinProt model which was able to classify colorectal cancer patients and healthy individuals with a sensitivity of 94.12% (32/34) and a specificity of 96.97% (32/33). A double blind validation test showed that the ClinProt model yielded a sensitivity of 93.94 (31/33) and a specificity of 96.97% (32/33).
CONCLUSION: Combination of MALDI-TOF-MS with WCX kit allows to directly screen proteins differentially expressed in the serum of patients with colorectal cancer, and these proteins can be used to diagnose early-stage colorectal cancer.
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Poon TCW, Pang RTK, Chan KCA, Lee NLS, Chiu RWK, Tong YK, Chim SSC, Ngai SM, Sung JJY, Lo YMD. Proteomic analysis reveals platelet factor 4 and beta-thromboglobulin as prognostic markers in severe acute respiratory syndrome. Electrophoresis 2012; 33:1894-900. [PMID: 22740477 PMCID: PMC7163558 DOI: 10.1002/elps.201200002] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2012] [Revised: 03/05/2012] [Accepted: 03/15/2012] [Indexed: 12/25/2022]
Abstract
Previously, we reported that proteomic fingerprints were present in sera of patients with severe acute respiratory syndrome (SARS), and could separate patients into subgroups with different prognoses. In the present study, we examined the prognostic values of the SARS-associated proteomic features by biostatistical analysis, and deciphered the identities of those with prognostic values. Data of 20 SARS-associated serum proteomic features and ten serological variables from 38 SARS adult patients before treatment were subjected to multivariate logistic regression. Proteomic features of m/z 6634, m/z 7769, m/z 8635, and m/z 8865 were identified as independent prognostic markers. After purification by cation-exchange chromatography and gel electrophoresis, proteomic features of m/z 7769 and m/z 8865 were found to be platelet factor 4 (PF4) and beta-thromboglobulin (beta-TG) by tandem mass spectrometry, respectively. The associations of decreased serum PF4 and increased serum beta-TG levels with poor prognosis were confirmed by Western blot. Previous studies suggest that PF4 and beta-TG are involved in the pathogenesis of acute respiratory distress syndrome (ARDS) in a negative and positive way, respectively. Our results suggest that PF4 and beta-TG may also play similar roles in the development of ARDS in SARS patients.
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Affiliation(s)
- Terence C W Poon
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, NT, Hong Kong SAR.
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Fassbender A, Waelkens E, Verbeeck N, Kyama CM, Bokor A, Vodolazkaia A, Van de Plas R, Meuleman C, Peeraer K, Tomassetti C, Gevaert O, Ojeda F, De Moor B, D'Hooghe T. Proteomics analysis of plasma for early diagnosis of endometriosis. Obstet Gynecol 2012; 119:276-85. [PMID: 22270279 DOI: 10.1097/aog.0b013e31823fda8d] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVE To test the hypothesis that differential surface-enhanced laser desorption/ionization time-of-flight mass spectrometry protein or peptide expression in plasma can be used in infertile women with or without pelvic pain to predict the presence of laparoscopically and histologically confirmed endometriosis, especially in the subpopulation with a normal preoperative gynecologic ultrasound examination. METHODS Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry analysis was performed on 254 plasma samples obtained from 89 women without endometriosis and 165 women with endometriosis (histologically confirmed) undergoing laparoscopies for infertility with or without pelvic pain. Data were analyzed using least squares support vector machines and were divided randomly (100 times) into a training data set (70%) and a test data set (30%). RESULTS Minimal-to-mild endometriosis was best predicted (sensitivity 75%, 95% confidence interval [CI] 63-89; specificity 86%, 95% CI 71-94; positive predictive value 83.6%, negative predictive value 78.3%) using a model based on five peptide and protein peaks (range 4.898-14.698 m/z) in menstrual phase samples. Moderate-to-severe endometriosis was best predicted (sensitivity 98%, 95% CI 84-100; specificity 81%, 95% CI 67-92; positive predictive value 74.4%, negative predictive value 98.6%) using a model based on five other peptide and protein peaks (range 2.189-7.457 m/z) in luteal phase samples. The peak with the highest intensity (2.189 m/z) was identified as a fibrinogen β-chain peptide. Ultrasonography-negative endometriosis was best predicted (sensitivity 88%, 95% CI 73-100; specificity 84%, 95% CI 71-96) using a model based on five peptide peaks (range 2.058-42.065 m/z) in menstrual phase samples. CONCLUSION A noninvasive test using proteomic analysis of plasma samples obtained during the menstrual phase enabled the diagnosis of endometriosis undetectable by ultrasonography with high sensitivity and specificity. LEVEL OF EVIDENCE II.
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Affiliation(s)
- Amelie Fassbender
- Department of Obstetrics and Gynaecology, Leuven University Fertility Centre, University Hospital Gasthuisberg, Belgium
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LIU CHIBO, PAN CHUNQIN, LIANG YONG. Screening and identification of serum proteomic biomarkers for gastric adenocarcinoma. Exp Ther Med 2012; 3:1005-1009. [PMID: 22970007 PMCID: PMC3438544 DOI: 10.3892/etm.2012.515] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2012] [Accepted: 02/20/2012] [Indexed: 12/27/2022] Open
Abstract
The aim of the present study was to screen for possible serum biomarkers for gastric adenocarcinoma. Surface-enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF-MS) was used to screen serum samples from 109 cases of gastric adenocarcinoma and 106 control subjects (60 healthy subjects, 30 patients with chronic superficial gastritis and 16 cases of chronic atrophic gastritis). The differentially expressed protein peaks were selected and isolated using high performance liquid chromatography (HPLC) and processed with enzyme prior to liquid chromatography-mass spectrometry tandem mass spectrometry (LC-MS/MS) analysis and data mining with software XCalibur program components BioWorks 3.2. Among the gastric cancer cases, three differentially expressed protein peaks were selected as potential serum biomarkers: the m/z peaks at 5,906.5 showed increased expression (8.53±4.33 in the cancer group, and 0.88±0.31 in the control group); the m/z peaks at 6,635.7 and 8,716.3 showed decreased expression (6.54±2.44 and 0.93±0.29, respectively, in the cancer group and 17.56±4.43 and 2.16±0.98, respectively, in the control group) (P<0.01). The m/z peaks at 5,906.5, 6,635.7 and 8,716.3, were identified as fibrinogen α-chain, apolipo-protein A-II and apolipoprotein C-I. The combined use of the three biomarkers distinguished the cancer group patients from the control group samples at a sensitivity of 93.85% (61/65) and a specificity of 94.34% (50/53). In conclusion, fibrinogen α-chain, apolipoprotein A-II and apolipoprotein C-I were identified as potential markers for gastric cancer and appear to have diagnostic value for clinical applications.
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Affiliation(s)
- CHIBO LIU
- Departments of Clinical Laboratory and
| | | | - YONG LIANG
- Tumorology, Taizhou Municipal Hospital, Taizhou, Zhejiang,
P.R. China
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Fassbender A, Verbeeck N, Börnigen D, Kyama CM, Bokor A, Vodolazkaia A, Peeraer K, Tomassetti C, Meuleman C, Gevaert O, Van de Plas R, Ojeda F, De Moor B, Moreau Y, Waelkens E, D'Hooghe TM. Combined mRNA microarray and proteomic analysis of eutopic endometrium of women with and without endometriosis. Hum Reprod 2012; 27:2020-9. [PMID: 22556377 DOI: 10.1093/humrep/des127] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND An early semi-invasive diagnosis of endometriosis has the potential to allow early treatment and minimize disease progression but no such test is available at present. Our aim was to perform a combined mRNA microarray and proteomic analysis on the same eutopic endometrium sample obtained from patients with and without endometriosis. METHODS mRNA and protein fractions were extracted from 49 endometrial biopsies obtained from women with laparoscopically proven presence (n= 31) or absence (n= 18) of endometriosis during the early luteal (n= 27) or menstrual phase (n= 22) and analyzed using microarray and proteomic surface enhanced laser desorption ionization-time of flight mass spectrometry, respectively. Proteomic data were analyzed using a least squares-support vector machines (LS-SVM) model built on 70% (training set) and 30% of the samples (test set). RESULTS mRNA analysis of eutopic endometrium did not show any differentially expressed genes in women with endometriosis when compared with controls, regardless of endometriosis stage or cycle phase. mRNA was differentially expressed (P< 0.05) in women with (925 genes) and without endometriosis (1087 genes) during the menstrual phase when compared with the early luteal phase. Proteomic analysis based on five peptide peaks [2072 mass/charge (m/z); 2973 m/z; 3623 m/z; 3680 m/z and 21133 m/z] using an LS-SVM model applied on the luteal phase endometrium training set allowed the diagnosis of endometriosis (sensitivity, 91; 95% confidence interval (CI): 74-98; specificity, 80; 95% CI: 66-97 and positive predictive value, 87.9%; negative predictive value, 84.8%) in the test set. CONCLUSION mRNA expression of eutopic endometrium was comparable in women with and without endometriosis but different in menstrual endometrium when compared with luteal endometrium in women with endometriosis. Proteomic analysis of luteal phase endometrium allowed the diagnosis of endometriosis with high sensitivity and specificity in training and test sets. A potential limitation of our study is the fact that our control group included women with a normal pelvis as well as women with concurrent pelvic disease (e.g. fibroids, benign ovarian cysts, hydrosalpinges), which may have contributed to the comparable mRNA expression profile in the eutopic endometrium of women with endometriosis and controls.
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Affiliation(s)
- A Fassbender
- Department of Obstetrics and Gynecology, Leuven University Fertility Center, UZ Gasthuisberg, 3000 Leuven, Belgium
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Okabe H, Beppu T, Ueda M, Hayashi H, Ishiko T, Masuda T, Otao R, Horlad H, Mima K, Miyake K, Iwatsuki M, Baba Y, Takamori H, Jono H, Shinriki S, Ando Y, Baba H. Identification of CXCL5/ENA-78 as a factor involved in the interaction between cholangiocarcinoma cells and cancer-associated fibroblasts. Int J Cancer 2012; 131:2234-41. [PMID: 22337081 DOI: 10.1002/ijc.27496] [Citation(s) in RCA: 116] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2011] [Accepted: 02/07/2012] [Indexed: 12/12/2022]
Abstract
Knowledge of tumor-stromal interactions is essential for understanding tumor development. We focused on the interaction between cholangiocarcinoma and cancer-associated fibroblasts (CAFs) in intrahepatic cholangiocarcinoma and reported their positive interaction in vitro and in vivo. The aim of this study is to identify the key protein involved in the interaction between cholangiocarcinoma cells and CAFs and its role on cholangiocarcinoma progression. Using the conditioning medium from cholangiocarcinoma cells, hepatic stellate cells and coculture of them, Protein-Chip analysis with SELDI-TOF-MS showed that the peak of an 8,360-Da protein remarkably increased in the coculture medium. This protein was identified as CXCL5/ENA78, epithelial cell-derived neutrophil-activating peptide-78, by q-TOF/MS/MS analysis. Two cholangiocarcinoma cell lines, HuCCT1 and RBE, produced CXCL5 that promoted their invasion and migration in an autocrine fashion. These effects of CXCL5 significantly decreased by inhibition of CXC-receptor 2, which is the receptor for CXCL5. In addition, IL-1β produced by hepatic stellate cells induced the expression of CXCL5 in cholangiocarcinoma cells. In human tissue samples, a significant correlation was observed between CAFs and CXCL5 produced by cholangiocarcinoma cells in intrahepatic cholangiocarcinoma (p = 0.0044). Furthermore, the high-CXCL5-expression group exhibited poor overall survival after curative hepatic resection (p = 0.027). The presence of tumor-infiltrating neutrophils expressing CD66b was associated with CXCL5 expression in tumor cells (p < 0.0001). These data suggest that CXCL5 is important for the interaction between cholangiocarcinoma and CAFs, and inhibition of tumor-stromal interactions may be a useful therapeutic approach for cholangiocarcinoma.
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Affiliation(s)
- Hirohisa Okabe
- Department of Gastroenterological Surgery, Graduate School of Life Sciences, Kumamoto University, Kumamoto, Japan
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Yao C, Li H, Shen X, He Z, He L, Guo Z. Reproducibility and concordance of differential DNA methylation and gene expression in cancer. PLoS One 2012; 7:e29686. [PMID: 22235325 PMCID: PMC3250460 DOI: 10.1371/journal.pone.0029686] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2011] [Accepted: 12/01/2011] [Indexed: 12/11/2022] Open
Abstract
Background Hundreds of genes with differential DNA methylation of promoters have been identified for various cancers. However, the reproducibility of differential DNA methylation discoveries for cancer and the relationship between DNA methylation and aberrant gene expression have not been systematically analysed. Methodology/Principal Findings Using array data for seven types of cancers, we first evaluated the effects of experimental batches on differential DNA methylation detection. Second, we compared the directions of DNA methylation changes detected from different datasets for the same cancer. Third, we evaluated the concordance between methylation and gene expression changes. Finally, we compared DNA methylation changes in different cancers. For a given cancer, the directions of methylation and expression changes detected from different datasets, excluding potential batch effects, were highly consistent. In different cancers, DNA hypermethylation was highly inversely correlated with the down-regulation of gene expression, whereas hypomethylation was only weakly correlated with the up-regulation of genes. Finally, we found that genes commonly hypomethylated in different cancers primarily performed functions associated with chronic inflammation, such as ‘keratinization’, ‘chemotaxis’ and ‘immune response’. Conclusions Batch effects could greatly affect the discovery of DNA methylation biomarkers. For a particular cancer, both differential DNA methylation and gene expression can be reproducibly detected from different studies with no batch effects. While DNA hypermethylation is significantly linked to gene down-regulation, hypomethylation is only weakly correlated with gene up-regulation and is likely to be linked to chronic inflammation.
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Affiliation(s)
- Chen Yao
- Bioinformatics Centre and Key Laboratory for NeuroInfomation of the Education Ministry of China, School of Life Science, University of Electronic Science and Technology of China, Chengdu, China
| | - Hongdong Li
- Bioinformatics Centre and Key Laboratory for NeuroInfomation of the Education Ministry of China, School of Life Science, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaopei Shen
- Bioinformatics Centre and Key Laboratory for NeuroInfomation of the Education Ministry of China, School of Life Science, University of Electronic Science and Technology of China, Chengdu, China
| | - Zheng He
- Bioinformatics Centre and Key Laboratory for NeuroInfomation of the Education Ministry of China, School of Life Science, University of Electronic Science and Technology of China, Chengdu, China
| | - Lang He
- Bioinformatics Centre and Key Laboratory for NeuroInfomation of the Education Ministry of China, School of Life Science, University of Electronic Science and Technology of China, Chengdu, China
| | - Zheng Guo
- Bioinformatics Centre and Key Laboratory for NeuroInfomation of the Education Ministry of China, School of Life Science, University of Electronic Science and Technology of China, Chengdu, China
- Colleges of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
- * E-mail:
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Mæland Nilsen M, Meier S, Larsen BK, Ketil Andersen O, Hjelle A. An estrogen-responsive plasma protein expression signature in Atlantic cod (Gadus morhua) revealed by SELDI-TOF MS. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2011; 74:2175-2181. [PMID: 21880369 DOI: 10.1016/j.ecoenv.2011.07.036] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2010] [Revised: 07/25/2011] [Accepted: 07/30/2011] [Indexed: 05/31/2023]
Abstract
Compound-specific protein expression signatures (PESs) can be revealed by proteomic techniques. The SELDI-TOF MS approach is advantageous due to its simplicity and high-throughput capacity, however, there are concerns regarding the reproducibility of this method. The aim of this study was to define an estrogen-responsive PES in plasma of Atlantic cod (Gadus morhua) using the SELDI-TOF MS technique. Protein expression analysis of male cod exposed to 17β-estradiol (E₂) showed that 27 plasma peaks were differentially expressed following exposure. The reproducibility of this result was evaluated by reanalyzing the samples six months later, and a significant change in expression was confirmed for 13 of the 27 peaks detected in the first analysis. The performance of the reproducible E₂-responsive PES, constituting these 13 peaks, was then tested on samples from juvenile cod exposed to 4-nonylphenol, North Sea oil, or North Sea oil spiked with alkylphenols. Principal component analysis revealed that nonylphenol-exposed cod could be separated from unexposed cod based on the E₂-responsive PES, indicating that the PES can be used to assess estrogenic exposure of both juvenile and adult specimens of cod. A targeted antibody-assisted SELDI-TOF MS approach was carried out in an attempt to identify the E₂-responsive peaks. Results indicated that 2 peaks were fragments of the well-known biomarkers VTG and/or ZRP. In this study, the SELDI-TOF MS technology has shown its potential for defining compound-specific PESs in fish. Nevertheless, thorough validation of reproducibility, specificity and sensitivity of a PES is required before it can be applied in environmental monitoring.
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Affiliation(s)
- Mari Mæland Nilsen
- International Research Institute of Stavanger-IRIS, Biomiljø, P.O. Box 8046, N-4068 Stavanger, Norway.
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Moon PG, You S, Lee JE, Hwang D, Baek MC. Urinary exosomes and proteomics. MASS SPECTROMETRY REVIEWS 2011; 30:1185-1202. [PMID: 21544848 DOI: 10.1002/mas.20319] [Citation(s) in RCA: 60] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2009] [Revised: 07/23/2010] [Accepted: 07/23/2010] [Indexed: 05/30/2023]
Abstract
A number of highly abundant proteins in urine have been identified through proteomics approaches, and some have been considered as disease-biomarker candidates. These molecules might be clinically useful in diagnosis of various diseases. However, none has proven to be specifically indicative of perturbations of cellular processes in cells associated with urogenital diseases. Exosomes could be released into urine which flows through the kidney, ureter, bladder and urethra, with a process of filtration and reabsorption. Urinary exosomes have been recently suggested as alternative materials that offer new opportunities to identify useful biomarkers, because these exosomes secreted from epithelial cells lining the urinary track might reflect the cellular processes associated with the pathogenesis of diseases in their donor cells. Proteomic analysis of such urinary exosomes assists the search of urinary biomarkers reflecting pathogenesis of various diseases and also helps understanding the function of urinary exosomes in urinary systems. Thus, it has been recently suggested that urinary exosomes are one of the most valuable targets for biomarker development and to understand pathophysiology of relevant diseases.
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Affiliation(s)
- Pyong-Gon Moon
- Department of Molecular Medicine, Cell and Matrix Biology Research Institute, School of Medicine, Kyungpook National University, Daegu 700-422, Republic of Korea
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From SELDI-TOF MS to protein identification by on-chip elution. J Proteomics 2011; 74:2995-8. [DOI: 10.1016/j.jprot.2011.06.027] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2011] [Accepted: 06/28/2011] [Indexed: 11/23/2022]
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