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Sun Z, Feng D, Jiang L, Tian J, Wang J, Zhu W. Integrated proteomic and metabolomic analysis of plasma reveals regulatory pathways and key elements in thyroid cancer. Mol Omics 2023; 19:800-809. [PMID: 37642188 DOI: 10.1039/d3mo00142c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Thyroid cancer (TC) is the most common endocrine malignancy with increasing incidence in recent years. Fine-needle aspiration biopsy (FNAB), as a gold standard for the initial evaluation of thyroid nodules, fails to cover all the cytopathologic conditions resulting in overdiagnosis. There is an urgent need for a better classification of thyroid cancer from benign thyroid nodules (BTNs). Here, data independent acquisition (DIA)-based proteomics and untargeted metabolomics in plasma samples of 10 patients with TC and 15 patients with BTNs were performed. Key proteins and metabolites were identified specific to TC, and an independent cohort was used to validate the potential biomarkers using enzyme-linked immunosorbent assay (ELISA). In total, 1429 proteins and 1172 metabolites were identified. Principal component analysis showed a strong overlap at the proteomic level and a significant discrimination at the metabolomic level between the two groups, indicating a more drastic disturbance in the metabolome of thyroid cancer. Integrated analysis of proteomics and metabolomics shows glycerophospholipid metabolism and arachidonic acid metabolism as key regulatory pathways. Furthermore, a multi-omics biomarker panel was developed consisting of LCAT, GPX3 and leukotriene B4. Based on the AUC value for the discovery set, the classification performance was 0.960. The AUC value of the external validation set was 0.930. Altogether, our results will contribute to the clinical application of potential biomarkers in the diagnosis of thyroid cancer.
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Affiliation(s)
- Zijian Sun
- Key Laboratory for Molecular Medicine and Chinese Medicine Preparations, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China.
| | - Dongdong Feng
- Department of Head and Neck Surgery, Center of Otolaryngology-head and neck surgery, Zhejiang Provincial People's Hospital (People's Hospital of Hangzhou Medical College), Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, 310014, China.
| | - Liehao Jiang
- Department of Head and Neck Surgery, Center of Otolaryngology-head and neck surgery, Zhejiang Provincial People's Hospital (People's Hospital of Hangzhou Medical College), Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, 310014, China.
| | - Jingkui Tian
- Key Laboratory for Molecular Medicine and Chinese Medicine Preparations, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China.
| | - Jiafeng Wang
- Department of Head and Neck Surgery, Center of Otolaryngology-head and neck surgery, Zhejiang Provincial People's Hospital (People's Hospital of Hangzhou Medical College), Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, 310014, China.
| | - Wei Zhu
- Key Laboratory for Molecular Medicine and Chinese Medicine Preparations, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China.
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Rezaeeyan H, Arabfard M, Rasouli HR, Shahriary A, Gh BFNM. Evaluation of common protein biomarkers involved in the pathogenesis of respiratory diseases with proteomic methods: A systematic review. Immun Inflamm Dis 2023; 11:e1090. [PMID: 38018577 PMCID: PMC10659759 DOI: 10.1002/iid3.1090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 09/22/2023] [Accepted: 11/04/2023] [Indexed: 11/30/2023] Open
Abstract
AIM Respiratory disease (RD) is one of the most common diseases characterized by lung dysfunction. Many diagnostic mechanisms have been used to identify the pathogenic agents of responsible for RD. Among these, proteomics emerges as a valuable diagnostic method for pinpointing the specific proteins involved in RD pathogenesis. Therefore, in this study, for the first time, we examined the protein markers involved in the pathogenesis of chronic obstructive pulmonary disease (COPD), idiopathic pulmonary fibrosis (IPF), asthma, bronchiolitis obliterans (BO), and chemical warfare victims exposed to mustard gas, using the proteomics method as a systematic study. MATERIALS AND METHODS A systematic search was performed up to September 2023 on several databases, including PubMed, Scopus, ISI Web of Science, and Cochrane. In total, selected 4246 articles were for evaluation according to the criteria. Finally, 119 studies were selected for this systematic review. RESULTS A total of 13,806 proteins were identified, 6471 in COPD, 1603 in Asthma, 5638 in IPF, three in BO, and 91 in mustard gas exposed victims. Alterations in the expression of these proteins were observed in the respective diseases. After evaluation, the results showed that 31 proteins were found to be shared among all five diseases. CONCLUSION Although these 31 proteins regulate different factors and molecular pathways in all five diseases, they ultimately lead to the regulation of inflammatory pathways. In other words, the expression of some proteins in COPD and mustard-exposed patients increases inflammatory reactions, while in IPF, they cause lung fibrosis. Asthma, causes allergic reactions due to T-cell differentiation toward Th2.
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Affiliation(s)
- Hadi Rezaeeyan
- Chemical Injuries Research Center, Systems Biology and Poisonings InstituteBaqiyatallah University of Medical SciencesTehranIran
- Blood Transfusion Research Center, High Institute for Research and Education in Transfusion MedicineIranian Blood Transfusion Organization (IBTO)TehranIran
| | - Masoud Arabfard
- Chemical Injuries Research Center, Systems Biology and Poisonings InstituteBaqiyatallah University of Medical SciencesTehranIran
| | - Hamid R. Rasouli
- Trauma Research CenterBaqiyatallah University of Medical SciencesTehranIran
| | - Alireza Shahriary
- Chemical Injuries Research Center, Systems Biology and Poisonings InstituteBaqiyatallah University of Medical SciencesTehranIran
| | - B. Fatemeh Nobakht M. Gh
- Chemical Injuries Research Center, Systems Biology and Poisonings InstituteBaqiyatallah University of Medical SciencesTehranIran
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Zeng X, Lan Y, Xiao J, Hu L, Tan L, Liang M, Wang X, Lu S, Peng T, Long F. Advances in phosphoproteomics and its application to COPD. Expert Rev Proteomics 2022; 19:311-324. [PMID: 36730079 DOI: 10.1080/14789450.2023.2176756] [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: 02/03/2023]
Abstract
INTRODUCTION Chronic obstructive pulmonary disease (COPD) was the third leading cause of global death in 2019, causing a huge economic burden to society. Therefore, it is urgent to identify specific phenotypes of COPD patients through early detection, and to promptly treat exacerbations. The field of phosphoproteomics has been a massive advancement, compelled by the developments in mass spectrometry, enrichment strategies, algorithms, and tools. Modern mass spectrometry-based phosphoproteomics allows understanding of disease pathobiology, biomarker discovery, and predicting new therapeutic modalities. AREAS COVERED In this article, we present an overview of phosphoproteomic research and strategies for enrichment and fractionation of phosphopeptides, identification of phosphorylation sites, chromatographic separation and mass spectrometry detection strategies, and the potential application of phosphorylated proteomic analysis in the diagnosis, treatment, and prognosis of COPD disease. EXPERT OPINION The role of phosphoproteomics in COPD is critical for understanding disease pathobiology, identifying potential biomarkers, and predicting new therapeutic approaches. However, the complexity of COPD requires the more comprehensive understanding that can be achieved through integrated multi-omics studies. Phosphoproteomics, as a part of these multi-omics approaches, can provide valuable insights into the underlying mechanisms of COPD.
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Affiliation(s)
- Xiaoyin Zeng
- Sino-French Hoffmann Institute, School of Basic Medical Science, State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Yanting Lan
- Sino-French Hoffmann Institute, School of Basic Medical Science, State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Jing Xiao
- Sino-French Hoffmann Institute, School of Basic Medical Science, State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Longbo Hu
- Sino-French Hoffmann Institute, School of Basic Medical Science, State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Long Tan
- Sino-French Hoffmann Institute, School of Basic Medical Science, State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Mengdi Liang
- Sino-French Hoffmann Institute, School of Basic Medical Science, State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Xufei Wang
- Sino-French Hoffmann Institute, School of Basic Medical Science, State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Shaohua Lu
- Sino-French Hoffmann Institute, School of Basic Medical Science, State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
| | - Tao Peng
- Sino-French Hoffmann Institute, School of Basic Medical Science, State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China.,Guangdong South China Vaccine Co. Ltd, Guangzhou, China
| | - Fei Long
- Sino-French Hoffmann Institute, School of Basic Medical Science, State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
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Qin W, Huang H, Dai Y, Han W, Gao Y. Proteome analysis of urinary biomarkers in a cigarette smoke-induced COPD rat model. Respir Res 2022; 23:156. [PMID: 35705945 PMCID: PMC9202220 DOI: 10.1186/s12931-022-02070-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 05/23/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory airway disease caused by inhalation of cigarette smoke (CS) and other harmful gases and particles. METHODS This study aimed to explore potential urinary biomarkers for CS-induced COPD based on LC-MS/MS analysis. RESULTS A total of 340 urinary proteins were identified, of which 79 were significantly changed (30, 31, and 37 at week 2, 4 and 8, respectively). GO annotation of the differential urinary proteins revealed that acute-phase response, response to organic cyclic compounds, complement activation classical pathway, and response to lead ion were significantly enriched at week 2 and 4. Another four processes were only enriched at week 8, namely response to oxidative stress, positive regulation of cell proliferation, thyroid hormone generation, and positive regulation of apoptotic process. The PPI network indicated that these differential proteins were biologically connected in CS-exposed rats. Of the 79 differential proteins in CS-exposed rats, 56 had human orthologs. Seven proteins that had changed at week 2 and 4 when there were no changes of pulmonary function and pathological morphology were verified as potential biomarkers for early screening of CS-induced COPD by proteomic analysis. Another six proteins that changed at week 8 when obvious airflow obstruction was detected were verified as potential biomarkers for prognostic assessment of CS-induced COPD. CONCLUSIONS These results reveal that the urinary proteome could sensitively reflect pathological changes in CS-exposed rats, and provide valuable clues for exploring COPD biomarkers.
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Affiliation(s)
- Weiwei Qin
- Department of Anesthesiology, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266071, China
- Department of Biochemistry and Molecular Biology, Gene Engineering Drug and Biotechnology Beijing Key Laboratory, Beijing Normal University, Beijing, 100875, China
| | - He Huang
- Department of Biochemistry and Molecular Biology, Gene Engineering Drug and Biotechnology Beijing Key Laboratory, Beijing Normal University, Beijing, 100875, China
| | - Yuting Dai
- Department of Anesthesiology, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266071, China
| | - Wei Han
- Department of Respiratory Medicine, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266071, China.
| | - Youhe Gao
- Department of Biochemistry and Molecular Biology, Gene Engineering Drug and Biotechnology Beijing Key Laboratory, Beijing Normal University, Beijing, 100875, China.
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Qin W, Wang T, Liu G, Sun L, Han W, Gao Y. Dynamic Urinary Proteome Changes in Ovalbumin-Induced Asthma Mouse Model Using Data-Independent Acquisition Proteomics. J Asthma Allergy 2021; 14:1355-1366. [PMID: 34785909 PMCID: PMC8590963 DOI: 10.2147/jaa.s330054] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Accepted: 10/30/2021] [Indexed: 01/09/2023] Open
Abstract
Background In this work, we aim to investigate dynamic urinary proteome changes during asthma development and to identify potential urinary protein biomarkers for the diagnosis of asthma. Methods An ovalbumin (OVA)-induced mouse model was used to mimic asthma. The urinary proteome from asthma and control mice was determined using data-independent acquisition combined with high-resolution tandem mass spectrometry. Results Overall, 331 proteins were identified, among which 53 were differentially expressed (26, 24, 14 and 20 on days 2, 8, 15 and 18, respectively; 1.5-fold change, adjust P<0.05). Gene Ontology annotation of the differential proteins showed that the acute-phase response, innate immune response, B cell receptor signaling pathway, and complement activation were significantly enriched. Protein–protein interaction network revealed that these differential proteins were partially biologically connected in OVA-induced asthma, as a group. On days 2 and 8, after two episodes of OVA sensitization, six differential proteins (CRAMP, ECP, HP, F2, AGP1, and CFB) were also reported to be closely associated with asthma. These proteins may hold the potential for the early screening of asthma. On days 15 and 18, after challenged with 1% OVA by inhalation, seven differential proteins (VDBP, HP, CTSE, PIGR, AAT, TRFE, and HPX) were also reported to be closely associated with asthma. Thus, these proteins hold the potential to be biomarkers for the diagnosis of asthma attack. Conclusion Our results indicate that the urinary proteome could reflect dynamic pathophysiological changes in asthma progression.
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Affiliation(s)
- Weiwei Qin
- Department of Anesthesiology, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266071, People's Republic of China.,Department of Biochemistry and Molecular Biology, Gene Engineering Drug and Biotechnology Beijing Key Laboratory, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Ting Wang
- Department of Biochemistry and Molecular Biology, Gene Engineering Drug and Biotechnology Beijing Key Laboratory, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Guangwei Liu
- Key Laboratory of Cell Proliferation and Regulation Biology, Ministry of Education, Institute of Cell Biology, College of Life Sciences, Beijing Normal University, Beijing, 100875, People's Republic of China
| | - Lixin Sun
- Department of Anesthesiology, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266071, People's Republic of China
| | - Wei Han
- Department of Respiratory Medicine, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266071, People's Republic of China
| | - Youhe Gao
- Department of Biochemistry and Molecular Biology, Gene Engineering Drug and Biotechnology Beijing Key Laboratory, Beijing Normal University, Beijing, 100875, People's Republic of China
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