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Joshi N, Garapati K, Ghose V, Kandasamy RK, Pandey A. Recent progress in mass spectrometry-based urinary proteomics. Clin Proteomics 2024; 21:14. [PMID: 38389064 PMCID: PMC10885485 DOI: 10.1186/s12014-024-09462-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 02/12/2024] [Indexed: 02/24/2024] Open
Abstract
Serum or plasma is frequently utilized in biomedical research; however, its application is impeded by the requirement for invasive sample collection. The non-invasive nature of urine collection makes it an attractive alternative for disease characterization and biomarker discovery. Mass spectrometry-based protein profiling of urine has led to the discovery of several disease-associated biomarkers. Proteomic analysis of urine has not only been applied to disorders of the kidney and urinary bladder but also to conditions affecting distant organs because proteins excreted in the urine originate from multiple organs. This review provides a progress update on urinary proteomics carried out over the past decade. Studies summarized in this review have expanded the catalog of proteins detected in the urine in a variety of clinical conditions. The wide range of applications of urine analysis-from characterizing diseases to discovering predictive, diagnostic and prognostic markers-continues to drive investigations of the urinary proteome.
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Affiliation(s)
- Neha Joshi
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Kishore Garapati
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Vivek Ghose
- Manipal Academy of Higher Education (MAHE), Manipal, 576104, India
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India
| | - Richard K Kandasamy
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Akhilesh Pandey
- Institute of Bioinformatics, International Technology Park, Bangalore, 560066, India.
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA.
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
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Lu H, Pan Y, Ruan Y, Zhu C, Hassan HM, Gao J, Gao J, Fan L, Liang X, Wang H, Ying S, Chen Q. Biomarker Discovery for Early Diagnosis of Papillary Thyroid Carcinoma Using High-Throughput Enhanced Quantitative Plasma Proteomics. J Proteome Res 2023; 22:3200-3212. [PMID: 37624590 DOI: 10.1021/acs.jproteome.3c00187] [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: 08/26/2023]
Abstract
The incidence of thyroid cancer (TC) has been increasing over the last 50 years worldwide. A higher rate of overdiagnosis in indolent thyroid lesions has resulted in unnecessary treatment. An accurate detection of TC at an early stage is highly demanded. We aim to develop an enhanced isobaric labeling-based high-throughput plasma quantitative proteomics to identify biomarkers in a discovery cohort. Selected candidates were tested by enzyme-linked immunosorbent assay (ELISA) in the training cohort and validation cohort. In total, 1063 proteins were quantified, and 129 proteins were differentially expressed between patients and healthy subjects. Serum levels of ISG15 and PLXNB2 were significantly elevated in patients with papillary thyroid cancer (PTC) or thyroid adenoma, compared to healthy subjects (p < 0.001) and patients with nodular goiter (p < 0.001). Receiver operating characteristic (ROC) analysis of combined markers (ISG15 and PLXNB2) significantly distinguished PTC from healthy control (HC) subjects. Similar differentiations were also found between thyroid adenoma and HC subjects. Notably, this combined marker could distinguish stage-I PTC from HC subjects (area under the curve (AUC) = 0.872). Our results revealed that ISG15 and PLXNB2 are independent diagnostic biomarkers for PTC and thyroid adenoma, showing a promising value for the early detection of PTC.
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Affiliation(s)
- Hongsheng Lu
- Department of Pathology, Taizhou Central Hospital (Taizhou University Hospital), 999 Donghai Avenue, Taizhou 318000, Zhejiang, P. R. China
| | - Yin Pan
- Surgical Oncology, Taizhou Central Hospital (Taizhou University Hospital), 999 Donghai Avenue, Taizhou 318000, Zhejiang, P. R. China
| | - Yanyun Ruan
- Precision Medicine Center, Taizhou Central Hospital (Taizhou University Hospital), 999 Donghai Avenue, Taizhou 318000, Zhejiang, P. R. China
| | - Chumeng Zhu
- Precision Medicine Center, Taizhou Central Hospital (Taizhou University Hospital), 999 Donghai Avenue, Taizhou 318000, Zhejiang, P. R. China
| | - Hozeifa M Hassan
- Precision Medicine Center, Taizhou Central Hospital (Taizhou University Hospital), 999 Donghai Avenue, Taizhou 318000, Zhejiang, P. R. China
| | - Junshun Gao
- Hangzhou Cosmos Wisdom Mass Spectrometry Center of Zhejiang University Medical School, 198 Qidi Road, Xiaoshan District, Hangzhou 311202, Zhejiang, P. R. China
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, 198 Qidi Road, Xiaoshan District, Hangzhou 311202, Zhejiang, P. R. China
| | - Junli Gao
- Hangzhou Cosmos Wisdom Mass Spectrometry Center of Zhejiang University Medical School, 198 Qidi Road, Xiaoshan District, Hangzhou 311202, Zhejiang, P. R. China
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, 198 Qidi Road, Xiaoshan District, Hangzhou 311202, Zhejiang, P. R. China
| | - Lilong Fan
- Department of Pathology, Taizhou Central Hospital (Taizhou University Hospital), 999 Donghai Avenue, Taizhou 318000, Zhejiang, P. R. China
| | - Xi Liang
- Precision Medicine Center, Taizhou Central Hospital (Taizhou University Hospital), 999 Donghai Avenue, Taizhou 318000, Zhejiang, P. R. China
| | - Hong Wang
- Hangzhou Cosmos Wisdom Mass Spectrometry Center of Zhejiang University Medical School, 198 Qidi Road, Xiaoshan District, Hangzhou 311202, Zhejiang, P. R. China
- Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, 198 Qidi Road, Xiaoshan District, Hangzhou 311202, Zhejiang, P. R. China
| | - Shenpeng Ying
- Department of Radiotherapy, Taizhou Central Hospital (Taizhou University Hospital), 999 Donghai Avenue, Taizhou 318000, Zhejiang, P. R. China
| | - Qi Chen
- Precision Medicine Center, Taizhou Central Hospital (Taizhou University Hospital), 999 Donghai Avenue, Taizhou 318000, Zhejiang, P. R. China
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Liu W, Zhu J, Wu Z, Yin Y, Wu Q, Wu Y, Zheng J, Wang C, Chen H, Qazi TJ, Wu J, Zhang Y, Liu H, Yang J, Lu D, Zhang X, Ai Z. Insight of novel biomarkers for papillary thyroid carcinoma through multiomics. Front Oncol 2023; 13:1269751. [PMID: 37795451 PMCID: PMC10546062 DOI: 10.3389/fonc.2023.1269751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 09/05/2023] [Indexed: 10/06/2023] Open
Abstract
Introduction The overdiagnosing of papillary thyroid carcinoma (PTC) in China necessitates the development of an evidence-based diagnosis and prognosis strategy in line with precision medicine. A landscape of PTC in Chinese cohorts is needed to provide comprehensiveness. Methods 6 paired PTC samples were employed for whole-exome sequencing, RNA sequencing, and data-dependent acquisition mass spectrum analysis. Weighted gene co-expression network analysis and protein-protein interactions networks were used to screen for hub genes. Moreover, we verified the hub genes' diagnostic and prognostic potential using online databases. Logistic regression was employed to construct a diagnostic model, and we evaluated its efficacy and specificity based on TCGA-THCA and GEO datasets. Results The basic multiomics landscape of PTC among local patients were drawn. The similarities and differences were compared between the Chinese cohort and TCGA-THCA cohorts, including the identification of PNPLA5 as a driver gene in addition to BRAF mutation. Besides, we found 572 differentially expressed genes and 79 differentially expressed proteins. Through integrative analysis, we identified 17 hub genes for prognosis and diagnosis of PTC. Four of these genes, ABR, AHNAK2, GPX1, and TPO, were used to construct a diagnostic model with high accuracy, explicitly targeting PTC (AUC=0.969/0.959 in training/test sets). Discussion Multiomics analysis of the Chinese cohort demonstrated significant distinctions compared to TCGA-THCA cohorts, highlighting the unique genetic characteristics of Chinese individuals with PTC. The novel biomarkers, holding potential for diagnosis and prognosis of PTC, were identified. Furthermore, these biomarkers provide a valuable tool for precise medicine, especially for immunotherapeutic or nanomedicine based cancer therapy.
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Affiliation(s)
- Wei Liu
- Department of Surgery (Thyroid & Breast), Zhongshan Hospital, Fudan University, Shanghai, China
| | - Junkan Zhu
- Department of Surgery (Thyroid & Breast), Zhongshan Hospital, Fudan University, Shanghai, China
- School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Zhen Wu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Yongxiang Yin
- Department of Pathology, Wuxi Maternal and Child Health Care Hospital, Womens Hospital of Jiangnan University, Jiangnan University, Jiangsu, China
| | - Qiao Wu
- Department of Surgery (Thyroid & Breast), Zhongshan Hospital, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Yiming Wu
- Shanghai WeHealth BioMedical Technology Co., Ltd., Shanghai, China
| | - Jiaojiao Zheng
- Department of Surgery (Thyroid & Breast), Zhongshan Hospital, Fudan University, Shanghai, China
| | - Cong Wang
- Department of Surgery (Thyroid & Breast), Zhongshan Hospital, Fudan University, Shanghai, China
- Department of General Surgery, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China
- Xiamen Clinical Research Center for Cancer Therapy, Xiamen, China
| | - Hongyan Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Talal Jamil Qazi
- Department of Biomedical Engineering, Balochistan University of Engineering and Technology, Khuzdar, Pakistan
| | - Jun Wu
- Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Cell Bank, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
| | - Yuqing Zhang
- Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Cell Bank, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China
| | - Houbao Liu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jingmin Yang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- Shanghai WeHealth BioMedical Technology Co., Ltd., Shanghai, China
- National Health Commission Key Laboratory of Birth Defects and Reproductive Health, Chongqing Population and Family Planning Science and Technology Research Institute, Chongqing, China
| | - Daru Lu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
- National Health Commission Key Laboratory of Birth Defects and Reproductive Health, Chongqing Population and Family Planning Science and Technology Research Institute, Chongqing, China
| | - Xumin Zhang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Zhilong Ai
- Department of Surgery (Thyroid & Breast), Zhongshan Hospital, Fudan University, Shanghai, China
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Li J, Mi L, Ran B, Sui C, Zhou L, Li F, Dionigi G, Sun H, Liang N. Identification of potential diagnostic and prognostic biomarkers for papillary thyroid microcarcinoma (PTMC) based on TMT-labeled LC-MS/MS and machine learning. J Endocrinol Invest 2022; 46:1131-1143. [PMID: 36418670 DOI: 10.1007/s40618-022-01960-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 11/01/2022] [Indexed: 11/24/2022]
Abstract
OBJECTIVES To explore the molecular mechanisms underlying aggressive progression of papillary thyroid microcarcinoma and identify potential biomarkers. METHODS Samples were collected and sequenced using tandem mass tag-labeled liquid chromatography-tandem mass spectrometry. Differentially expressed proteins (DEPs) were identified and further analyzed using Mfuzz and protein-protein interaction analysis (PPI). Parallel reaction monitoring (PRM) and immunohistochemistry (IHC) were performed to validate the DEPs. RESULTS Five thousand, two hundred and three DEPs were identified and quantified from the tumor/normal comparison group or the N1/N0 comparison group. Mfuzz analysis showed that clusters of DEPs were enriched according to progressive status, followed by normal tissue, tumors without lymphatic metastases, and tumors with lymphatic metastases. Analysis of PPI revealed that DEPs interacted with and were enriched in the following metabolic pathways: apoptosis, tricarboxylic acid cycle, PI3K-Akt pathway, cholesterol metabolism, pyruvate metabolism, and thyroid hormone synthesis. In addition, 18 of the 20 target proteins were successfully validated with PRM and IHC in another 20 paired validation samples. Based on machine learning, the five proteins that showed the best performance in discriminating between tumor and normal nodules were PDLIM4, ANXA1, PKM, NPC2, and LMNA. FN1 performed well in discriminating between patients with lymph node metastases (N1) and N0 with an AUC of 0.690. Finally, five validated DEPs showed a potential prognostic role after examining The Cancer Genome Atlas database: FN1, IDH2, VDAC1, FABP4, and TG. Accordingly, a nomogram was constructed whose concordance index was 0.685 (confidence interval: 0.645-0.726). CONCLUSIONS PDLIM4, ANXA1, PKM, NPC2, LMNA, and FN1 are potential diagnostic biomarkers. The five-protein nomogram could be a prognostic biomarker.
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Affiliation(s)
- J Li
- Division of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China
| | - L Mi
- Division of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China
| | - B Ran
- Division of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China
| | - C Sui
- Division of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China
| | - L Zhou
- Division of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China
| | - F Li
- Division of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China
| | - G Dionigi
- Division of General and Endocrine Surgery, Department of Medical Biotechnology and Translational Medicine, Istituto Auxologico Italiano IRCCS, University of Milan, Milan, Italy
| | - H Sun
- Division of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China.
| | - N Liang
- Division of Thyroid Surgery, Jilin Provincial Key Laboratory of Surgical Translational Medicine, Jilin Provincial Precision Medicine Laboratory of Molecular Biology and Translational Medicine on Differentiated Thyroid Carcinoma, China-Japan Union Hospital of Jilin University, 126 Xiantai Street, Changchun, 130033, Jilin, China.
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Proteomics in thyroid cancer and other thyroid-related diseases: A review of the literature. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2020; 1868:140510. [DOI: 10.1016/j.bbapap.2020.140510] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 06/26/2020] [Accepted: 07/19/2020] [Indexed: 12/21/2022]
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Abdullah MI, Junit SM, Ng KL, Jayapalan JJ, Karikalan B, Hashim OH. Papillary Thyroid Cancer: Genetic Alterations and Molecular Biomarker Investigations. Int J Med Sci 2019; 16:450-460. [PMID: 30911279 PMCID: PMC6428975 DOI: 10.7150/ijms.29935] [Citation(s) in RCA: 168] [Impact Index Per Article: 33.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 12/04/2018] [Indexed: 11/05/2022] Open
Abstract
Papillary thyroid cancer (PTC) is the most prevalent form of malignancy among all cancers of the thyroid. It is also one of the few cancers with a rapidly increasing incidence. PTC is usually contained within the thyroid gland and generally biologically indolent. Prognosis of the cancer is excellent, with less than 2% mortality at 5 years. However, more than 25% of patients with PTC developed a recurrence during a long term follow-up. The present article provides an updated condensed overview of PTC, which focuses mainly on the molecular alterations involved and recent biomarker investigations.
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Affiliation(s)
- Mardiaty Iryani Abdullah
- Department of Molecular Medicine, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
- Department of Biomedical Science, Kulliyyah of Allied Health Sciences, International Islamic University Malaysia, 25200 Kuantan, Pahang, Malaysia
| | - Sarni Mat Junit
- Department of Molecular Medicine, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Khoon Leong Ng
- Department of Surgery, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Jaime Jacqueline Jayapalan
- University of Malaya Centre for Proteomics Research, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Barani Karikalan
- Perdana University, Jalan MAEPS Perdana, Serdang 43400, Selangor, Malaysia
| | - Onn Haji Hashim
- Department of Molecular Medicine, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
- University of Malaya Centre for Proteomics Research, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
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Piga I, Casano S, Smith A, Tettamanti S, Leni D, Capitoli G, Pincelli AI, Scardilli M, Galimberti S, Magni F, Pagni F. Update on: proteome analysis in thyroid pathology - part II: overview of technical and clinical enhancement of proteomic investigation of the thyroid lesions. Expert Rev Proteomics 2018; 15:937-948. [PMID: 30290700 DOI: 10.1080/14789450.2018.1532793] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
INTRODUCTION An accurate diagnostic classification of thyroid lesions remains an important clinical aspect that needs to be addressed in order to avoid 'diagnostic' thyroidectomies. Among the several 'omics' techniques, proteomics is playing a pivotal role in the search for diagnostic markers. In recent years, different approaches have been used, taking advantage of the technical improvements related to mass spectrometry that have occurred. Areas covered: The review provides an update of the recent findings in diagnostic classification, in genetic definition and in the investigation of thyroid lesions based on different proteomics approaches and on different type of specimens: cytological, surgical and biofluid samples. A brief section will discuss how these findings can be integrated with those obtained by metabolomics investigations. Expert commentary: Among the several proteomics approaches able to deepen our knowledge of the molecular alterations of the different thyroid lesions, MALDI-MSI is strongly emerging above all. In fact, MS-imaging has also been demonstrated to be capable of distinguishing thyroid lesions, based on their different molecular signatures, using cytological specimens. The possibility to use the material obtained by the fine needle aspiration makes MALDI-MSI a highly promising technology that could be implemented into the clinical and pathological units.
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Affiliation(s)
- Isabella Piga
- a Department of Medicine and Surgery , University of Milano-Bicocca, Clinical Proteomics and Metabolomics Unit , Vedano al Lambro , Italy.,b Department of Medicine and Surgery , University of Milano-Bicocca, Section of Pathology , Monza , Italy
| | - Stefano Casano
- b Department of Medicine and Surgery , University of Milano-Bicocca, Section of Pathology , Monza , Italy
| | - Andrew Smith
- a Department of Medicine and Surgery , University of Milano-Bicocca, Clinical Proteomics and Metabolomics Unit , Vedano al Lambro , Italy
| | - Silvia Tettamanti
- a Department of Medicine and Surgery , University of Milano-Bicocca, Clinical Proteomics and Metabolomics Unit , Vedano al Lambro , Italy
| | - Davide Leni
- c Department of Radiology , San Gerardo Hospital , Monza , Italy
| | - Giulia Capitoli
- d Department of Medicine and Surgery , University of Milano-Bicocca, Centre of Biostatistics for Clinical Epidemiology , Monza , Italy
| | | | | | - Stefania Galimberti
- d Department of Medicine and Surgery , University of Milano-Bicocca, Centre of Biostatistics for Clinical Epidemiology , Monza , Italy
| | - Fulvio Magni
- a Department of Medicine and Surgery , University of Milano-Bicocca, Clinical Proteomics and Metabolomics Unit , Vedano al Lambro , Italy
| | - Fabio Pagni
- b Department of Medicine and Surgery , University of Milano-Bicocca, Section of Pathology , Monza , Italy
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Plasma Gelsolin: Indicator of Inflammation and Its Potential as a Diagnostic Tool and Therapeutic Target. Int J Mol Sci 2018; 19:ijms19092516. [PMID: 30149613 PMCID: PMC6164782 DOI: 10.3390/ijms19092516] [Citation(s) in RCA: 86] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 08/14/2018] [Accepted: 08/18/2018] [Indexed: 12/19/2022] Open
Abstract
Gelsolin, an actin-depolymerizing protein expressed both in extracellular fluids and in the cytoplasm of a majority of human cells, has been recently implicated in a variety of both physiological and pathological processes. Its extracellular isoform, called plasma gelsolin (pGSN), is present in blood, cerebrospinal fluid, milk, urine, and other extracellular fluids. This isoform has been recognized as a potential biomarker of inflammatory-associated medical conditions, allowing for the prediction of illness severity, recovery, efficacy of treatment, and clinical outcome. A compelling number of animal studies also demonstrate a broad spectrum of beneficial effects mediated by gelsolin, suggesting therapeutic utility for extracellular recombinant gelsolin. In the review, we summarize the current data related to the potential of pGSN as an inflammatory predictor and therapeutic target, discuss gelsolin-mediated mechanisms of action, and highlight recent progress in the clinical use of pGSN.
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