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Turizo MJF, Patell R, Zwicker JI. Identifying novel biomarkers using proteomics to predict cancer-associated thrombosis. BLEEDING, THROMBOSIS AND VASCULAR BIOLOGY 2024; 3:120. [PMID: 38828226 PMCID: PMC11143428 DOI: 10.4081/btvb.2024.120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/08/2024] [Indexed: 06/05/2024]
Abstract
Comprehensive protein analyses of plasma are made possible by high-throughput proteomic screens, which may help find new therapeutic targets and diagnostic biomarkers. Patients with cancer are frequently affected by venous thromboembolism (VTE). The limited predictive accuracy of current VTE risk assessment tools highlights the need for new, more targeted biomarkers. Although coagulation biomarkers for the diagnosis, prognosis, and treatment of VTE have been investigated, none of them have the necessary clinical validation or diagnostic accuracy. Proteomics holds the potential to uncover new biomarkers and thrombotic pathways that impact the risk of thrombosis. This review explores the fundamental methods used in proteomics and focuses on particular biomarkers found in VTE and cancer-associated thrombosis.
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Affiliation(s)
- Maria J Fernandez Turizo
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Rushad Patell
- Division of Medical Oncology and Hematology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Jeffrey I Zwicker
- Department of Medicine, Hematology Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Weil Cornell Medical College, New York, NY, United States
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2
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Gong M, Zhang Y, Chen N, Ma LL, Feng XM, Yan YX. Proteomics in Cardiovascular disease. Clin Chim Acta 2024; 557:117877. [PMID: 38537675 DOI: 10.1016/j.cca.2024.117877] [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: 02/20/2024] [Revised: 03/14/2024] [Accepted: 03/14/2024] [Indexed: 04/13/2024]
Abstract
This study focuses on recent advances in proteomics and provides an up-to-date use of this technology in identifying cardiovascular disease (CVD) biomarkers. A total of eight electronic databases (PubMed, EMBASE, Web of Science, Cochrane Library, Wanfang, Vip, Sinomed, and CNKI) were searched and five were used for integrative analysis of sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic ratio (DOR) and 1 secondary indicator area under the curve (AUC). This systematic review and integrative analysis summarized potential biomarkers previously identified by proteomics. The integrative analysis suggested that proteomics technology had high clinical value in CVD diagnosis. The findings provided new possible directions for the prevention or diagnosis of CVD.
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Affiliation(s)
- Miao Gong
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yu Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Ning Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Lin-Lin Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Xu-Man Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Yu-Xiang Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China; Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
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3
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Gade IL, Riddersholm SJ, Stilling-Vinther T, Brøndum RF, Bennike TB, Honoré B. A clinical proteomics study of exhaled breath condensate and biomarkers for pulmonary embolism. J Breath Res 2023; 18:016007. [PMID: 37939397 DOI: 10.1088/1752-7163/ad0aaa] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 11/07/2023] [Indexed: 11/10/2023]
Abstract
Pulmonary embolism (PE) can be a diagnostic challenge. Current diagnostic markers for PE are unspecific and new diagnostic tools are needed. The air we exhale is a possible new source for biomarkers which can be tapped into by analysing the exhaled breath condensate (EBC). We analysed the EBC from patients with PE and controls to investigate if the EBC is a useful source for new diagnostic biomarkers of PE. We collected and analysed EBC samples from patients with suspected PE and controls matched on age and sex. Patients in whom PE was ruled out after diagnostic work-up were included in the control group to increase the sensitivity and generalizability of the identified markers. EBC samples were collected using an RTube™. The protein composition of the EBCs were analysed using data dependent label-free quantitative nano liquid chromatography-tandem mass spectrometry. EBC samples from 28 patients with confirmed PE, and 49 controls were analysed. A total of 928 EBC proteins were identified in the 77 EBC samples. As expected, a low protein concentration was determined which resulted in many proteins with unmeasurable levels in several samples. The levels of HSPA5, PEBP1 and SFTPA2 were higher and levels of POF1B, EPPK1, PSMA4, ALDOA, and CFL1 were lower in PE compared with controls. In conclusion, the human EBC contained a variety of endogenous proteins and may be a source for new diagnostic markers of PE and other diseases.
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Affiliation(s)
- Inger Lise Gade
- Department of Hematology and Clinical Cancer Research Center, Aalborg University Hospital, 9000 Aalborg, Denmark
| | | | | | - Rasmus Froberg Brøndum
- Center for Clinical Data Science, Aalborg University and Aalborg University Hospital, 9260 Gistrup, Denmark
| | - Tue Bjerg Bennike
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Bent Honoré
- Department of Clinical Medicine, Aalborg University, 9000 Aalborg, Denmark
- Department of Biomedicine, Aarhus University, 8000 Aarhus, Denmark
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4
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Contemporary Biomarkers in Pulmonary Embolism Diagnosis: Moving beyond D-Dimers. J Pers Med 2022; 12:jpm12101604. [PMID: 36294744 PMCID: PMC9604705 DOI: 10.3390/jpm12101604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 09/22/2022] [Accepted: 09/26/2022] [Indexed: 12/05/2022] Open
Abstract
Pulmonary embolism (PE) is a rather common cardiovascular disorder constituting one of the major manifestations of venous thromboembolism (VTE). It is associated with high mortality and substantial recurrence rates, and its diagnosis may be challenging, especially in patients with respiratory comorbidities. Therefore, providing a prompt and accurate diagnosis for PE through developing highly sensitive and specific diagnostic algorithms would be of paramount importance. There is sound evidence supporting the use of biomarkers to enhance the diagnosis and predict the recurrence risk in patients with PE. Therefore, several novel biomarkers, such as factor VIII, Ischemia Modified Albumin, and fibrinogen, as well as several MicroRNAs and microparticles, have been investigated for the diagnosis of this clinical entity. The present review targets to comprehensively present the literature regarding the novel diagnostic biomarkers for PE, as well as to discuss the evidence for their use in daily routine.
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Edfors F, Iglesias MJ, Butler LM, Odeberg J. Proteomics in thrombosis research. Res Pract Thromb Haemost 2022; 6:e12706. [PMID: 35494505 PMCID: PMC9039028 DOI: 10.1002/rth2.12706] [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] [Received: 12/04/2021] [Revised: 03/23/2022] [Accepted: 03/24/2022] [Indexed: 11/24/2022] Open
Abstract
A State of the Art lecture titled “Proteomics in Thrombosis Research” was presented at the ISTH Congress in 2021. In clinical practice, there is a need for improved plasma biomarker‐based tools for diagnosis and risk prediction of venous thromboembolism (VTE). Analysis of blood, to identify plasma proteins with potential utility for such tools, could enable an individualized approach to treatment and prevention. Technological advances to study the plasma proteome on a large scale allows broad screening for the identification of novel plasma biomarkers, both by targeted and nontargeted proteomics methods. However, assay limitations need to be considered when interpreting results, with orthogonal validation required before conclusions are drawn. Here, we review and provide perspectives on the application of affinity‐ and mass spectrometry‐based methods for the identification and analysis of plasma protein biomarkers, with potential application in the field of VTE. We also provide a future perspective on discovery strategies and emerging technologies for targeted proteomics in thrombosis research. Finally, we summarize relevant new data on this topic, presented during the 2021 ISTH Congress.
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Affiliation(s)
- Fredrik Edfors
- Science for Life Laboratory Department of Protein Science CBH KTH Royal Institute of Technology Stockholm Sweden
- Karolinska University Laboratory Karolinska University Hospital Stockholm Sweden
| | - Maria Jesus Iglesias
- Science for Life Laboratory Department of Protein Science CBH KTH Royal Institute of Technology Stockholm Sweden
| | - Lynn M. Butler
- Science for Life Laboratory Department of Protein Science CBH KTH Royal Institute of Technology Stockholm Sweden
- Clinical Chemistry and Blood Coagulation Research Department of Molecular Medicine and Surgery Karolinska Institute Stockholm Sweden
- Clinical Chemistry Karolinska University Laboratory Karolinska University Hospital Stockholm Sweden
- Department of Clinical Medicine The Arctic University of Norway Tromsø Norway
| | - Jacob Odeberg
- Science for Life Laboratory Department of Protein Science CBH KTH Royal Institute of Technology Stockholm Sweden
- Department of Clinical Medicine The Arctic University of Norway Tromsø Norway
- Division of Internal Medicine University Hospital of North Norway Tromsø Norway
- Coagulation Unit Department of Hematology Karolinska University Hospital Stockholm Sweden
- Department of Medicine Solna Karolinska Institute Stockholm Sweden
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Yang P, Li H, Zhang J, Xu X. Research progress on biomarkers of pulmonary embolism. CLINICAL RESPIRATORY JOURNAL 2021; 15:1046-1055. [PMID: 34214256 DOI: 10.1111/crj.13414] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 06/16/2021] [Accepted: 06/29/2021] [Indexed: 01/05/2023]
Abstract
OBJECTIVES To present a review on the traditional and new biomarkers of pulmonary embolism (PE). DATA SOURCE A systematic search has been carried out using keywords as PE, biomarker, diagnosis and risk stratification. RESULTS The results of this work have been structured into three parts: first, conventional biomarkers for vascular, cardiac and inflammation, including static markers and dynamic markers for measuring the time course; next, a review of new biomarkers in recent years, such as RNAs and markers obtained through proteomics and mass spectrometry; finally, use of new detection methods to directly detect the activity of existing markers, such as the determination of coagulation factor II and plasmin activities based on the proteolytic activation of an engineered zymogen. CONCLUSIONS This work summarized the characteristics of current traditional biomarkers for clinical diagnosis and risk stratification of PE, as well as a series of newly discovered biomarkers obtained through various clinical experimental methods.
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Affiliation(s)
- Pengbo Yang
- Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology, Chinese Academy of Medical Sciences, Beijing, China
| | - Hexin Li
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, Chinese Academy of Medical Sciences, Beijing, China
| | - Junhua Zhang
- The Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaomao Xu
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Chinese Academy of Medical Sciences, Beijing, China
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Han B, Li C, Li H, Li Y, Luo X, Liu Y, Zhang J, Zhang Z, Yu X, Zhai Z, Xu X, Xiao F. Discovery of plasma biomarkers with data-independent acquisition mass spectrometry and antibody microarray for diagnosis and risk stratification of pulmonary embolism. J Thromb Haemost 2021; 19:1738-1751. [PMID: 33825327 DOI: 10.1111/jth.15324] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 02/22/2021] [Accepted: 03/25/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Pulmonary embolism (PE) is a leading cause of cardiovascular mortality worldwide. Rapid and accurate diagnosis and risk stratification are crucial for timely treatment options, especially in high-risk PE. OBJECTIVES The study aims to profile the comprehensive changes of plasma proteomes in PE patients and identify the potential biomarkers for both diagnosis and risk stratification. PATIENTS/METHODS Based on the data-independent acquisition mass spectrometry and antibody array proteomic technology, we screened the plasma samples (13 and 32 proteomes, respectively) in two independent studies consisting of high-risk PE patients, non-high-risk PE patients, and healthy controls. Some significantly differentially expressed proteins were quantified by ELISA in a new study group with 50 PE patients and 26 healthy controls. RESULTS We identified 207 and 70 differentially expressed proteins in PE and high-risk PE. These proteins were involved in multiple thrombosis-associated biological processes including blood coagulation, inflammation, injury, repair, and chemokine-mediated cellular response. It was verified that five proteins including SAA1, S100A8, TNC, GSN, and HRG had significant change in PE and/or in high-risk PE. The receiver operating characteristic curve analysis based on binary logistic regression showed that the area under the curve (AUC) of SAA1, S100A8, and TNC in PE diagnosis were 0.882, 0.788, and 0.795, and AUC of S100A8 and TNC in high-risk PE diagnosis were 0.773 and 0.720. CONCLUSION As predictors of inflammation or injury repair, SAA1, S100A8, and TNC are potential plasma biomarkers for the diagnosis and risk stratification of PE.
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Affiliation(s)
- Bingqing Han
- Peking University Fifth School of Clinical Medicine, Beijing, China
- The Key Laboratory of Geriatrics, Beijing Institution of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Chuanbao Li
- Department of Laboratory Medicine, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Hexin Li
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Ying Li
- The Key Laboratory of Geriatrics, Beijing Institution of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Xuanmei Luo
- The Key Laboratory of Geriatrics, Beijing Institution of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Ye Liu
- The Key Laboratory of Geriatrics, Beijing Institution of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Junhua Zhang
- The Key Laboratory of Geriatrics, Beijing Institution of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhu Zhang
- Department of Respiratory and Clinical Care Medicine, China-Japan, Friendship Hospital, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Xiaobo Yu
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences-Beijing (PHOENIX Center), Beijing Institute of Lifeomics, Beijing, China
| | - Zhenguo Zhai
- Department of Respiratory and Clinical Care Medicine, China-Japan, Friendship Hospital, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Xiaomao Xu
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Fei Xiao
- Peking University Fifth School of Clinical Medicine, Beijing, China
- The Key Laboratory of Geriatrics, Beijing Institution of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Clinical Biobank, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
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8
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Guo L, Liu M, Dou Y, Duan R, Shen L, Jia L, Wang J, Li C, Li X, Liang T. Screening and identification of haptoglobin showing its important role in pathophysiological process of gallbladder carcinoma. Gene 2021; 776:145429. [PMID: 33444685 DOI: 10.1016/j.gene.2021.145429] [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: 09/21/2020] [Revised: 12/17/2020] [Accepted: 01/05/2021] [Indexed: 02/07/2023]
Abstract
Gallbladder cancer (GBC) with poor prognosis has been a major cause of cancer-related deaths worldwide. In this study, we aimed to screen and identify crucial genes in GBC through integrative analysis of multiple datasets and further experimental validation. A candidate crucial gene, up-regulated haptoglobin (HP), was firstly screened, and then further analysis and validation mainly focused on whether higher enrichment level of HP was responsible for pathophysiological process of GBC. HP was found with diverse expression patterns in various cancer types, and the dynamic expression patterns indicated its spatiotemporal characteristics in different tissues and disease stages, implicating its role in multiple biological processes. Further experimental validation showed that HP could promote the GBC-SD cell proliferation, migration and invasion, implying its role in pathophysiological process of GBC. HP may have a crucial role in occurrence and development of GBC, and it provides possibility as a potential biomarker or target in cancer prognosis and treatment.
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Affiliation(s)
- Li Guo
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
| | - Mengting Liu
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, and Changzhou Institute of Innovation and Development, Nanjing Normal University, Nanjing 210023, China
| | - Yuyang Dou
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
| | - Rui Duan
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, and Changzhou Institute of Innovation and Development, Nanjing Normal University, Nanjing 210023, China
| | - Lulu Shen
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, and Changzhou Institute of Innovation and Development, Nanjing Normal University, Nanjing 210023, China
| | - Lin Jia
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, and Changzhou Institute of Innovation and Development, Nanjing Normal University, Nanjing 210023, China
| | - Jun Wang
- Department of Bioinformatics, Smart Health Big Data Analysis and Location Services Engineering Lab of Jiangsu Province, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
| | - Changxian Li
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Xiangcheng Li
- Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
| | - Tingming Liang
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, School of Life Science, and Changzhou Institute of Innovation and Development, Nanjing Normal University, Nanjing 210023, China.
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9
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Dhama K, Latheef SK, Dadar M, Samad HA, Munjal A, Khandia R, Karthik K, Tiwari R, Yatoo MI, Bhatt P, Chakraborty S, Singh KP, Iqbal HMN, Chaicumpa W, Joshi SK. Biomarkers in Stress Related Diseases/Disorders: Diagnostic, Prognostic, and Therapeutic Values. Front Mol Biosci 2019; 6:91. [PMID: 31750312 PMCID: PMC6843074 DOI: 10.3389/fmolb.2019.00091] [Citation(s) in RCA: 136] [Impact Index Per Article: 27.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 09/11/2019] [Indexed: 02/05/2023] Open
Abstract
Various internal and external factors negatively affect the homeostatic equilibrium of organisms at the molecular to the whole-body level, inducing the so-called state of stress. Stress affects an organism's welfare status and induces energy-consuming mechanisms to combat the subsequent ill effects; thus, the individual may be immunocompromised, making them vulnerable to pathogens. The information presented here has been extensively reviewed, compiled, and analyzed from authenticated published resources available on Medline, PubMed, PubMed Central, Science Direct, and other scientific databases. Stress levels can be monitored by the quantitative and qualitative measurement of biomarkers. Potential markers of stress include thermal stress markers, such as heat shock proteins (HSPs), innate immune markers, such as Acute Phase Proteins (APPs), oxidative stress markers, and chemical secretions in the saliva and urine. In addition, stress biomarkers also play critical roles in the prognosis of stress-related diseases and disorders, and therapy guidance. Moreover, different components have been identified as potent mediators of cardiovascular, central nervous system, hepatic, and nephrological disorders, which can also be employed to evaluate these conditions precisely, but with stringent validation and specificity. Considerable scientific advances have been made in the detection, quantitation, and application of these biomarkers. The present review describes the current progress of identifying biomarkers, their prognostic, and therapeutic values.
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Affiliation(s)
- Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Bareilly, India
| | - Shyma K. Latheef
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Bareilly, India
| | - Maryam Dadar
- Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization, Karaj, Iran
| | - Hari Abdul Samad
- Division of Physiology and Climatology, ICAR-Indian Veterinary Research Institute, Bareilly, India
| | - Ashok Munjal
- Department of Genetics, Barkatullah University, Bhopal, India
| | - Rekha Khandia
- Department of Genetics, Barkatullah University, Bhopal, India
| | - Kumaragurubaran Karthik
- Central University Laboratory, Tamil Nadu Veterinary and Animal Sciences University, Chennai, India
| | - Ruchi Tiwari
- Department of Veterinary Microbiology and Immunology, College of Veterinary Sciences, UP Pandit Deen Dayal Upadhayay Pashu Chikitsa Vigyan Vishwavidyalay Evum Go-Anusandhan Sansthan, Mathura, India
| | - Mohd. Iqbal Yatoo
- Division of Veterinary Clinical Complex, Sher-E-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, India
| | - Prakash Bhatt
- Teaching Veterinary Clinical Complex, College of Veterinary and Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, India
| | - Sandip Chakraborty
- Department of Veterinary Microbiology, College of Veterinary Sciences and Animal Husbandry, Agartala, India
| | - Karam Pal Singh
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Bareilly, India
| | - Hafiz M. N. Iqbal
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey, Mexico
| | - Wanpen Chaicumpa
- Department of Parasitology, Faculty of Medicine, Center of Research Excellence on Therapeutic Proteins and Antibody Engineering, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Sunil Kumar Joshi
- Division of Hematology, Oncology and Bone Marrow Transplantation, Department of Microbiology & Immunology, Department of Pediatrics, University of Miami School of Medicine, Miami, FL, United States
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10
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Dhama K, Latheef SK, Dadar M, Samad HA, Munjal A, Khandia R, Karthik K, Tiwari R, Yatoo MI, Bhatt P, Chakraborty S, Singh KP, Iqbal HMN, Chaicumpa W, Joshi SK. Biomarkers in Stress Related Diseases/Disorders: Diagnostic, Prognostic, and Therapeutic Values. Front Mol Biosci 2019. [PMID: 31750312 DOI: 10.3389/fmolb.2019.0009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Various internal and external factors negatively affect the homeostatic equilibrium of organisms at the molecular to the whole-body level, inducing the so-called state of stress. Stress affects an organism's welfare status and induces energy-consuming mechanisms to combat the subsequent ill effects; thus, the individual may be immunocompromised, making them vulnerable to pathogens. The information presented here has been extensively reviewed, compiled, and analyzed from authenticated published resources available on Medline, PubMed, PubMed Central, Science Direct, and other scientific databases. Stress levels can be monitored by the quantitative and qualitative measurement of biomarkers. Potential markers of stress include thermal stress markers, such as heat shock proteins (HSPs), innate immune markers, such as Acute Phase Proteins (APPs), oxidative stress markers, and chemical secretions in the saliva and urine. In addition, stress biomarkers also play critical roles in the prognosis of stress-related diseases and disorders, and therapy guidance. Moreover, different components have been identified as potent mediators of cardiovascular, central nervous system, hepatic, and nephrological disorders, which can also be employed to evaluate these conditions precisely, but with stringent validation and specificity. Considerable scientific advances have been made in the detection, quantitation, and application of these biomarkers. The present review describes the current progress of identifying biomarkers, their prognostic, and therapeutic values.
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Affiliation(s)
- Kuldeep Dhama
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Bareilly, India
| | - Shyma K Latheef
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Bareilly, India
| | - Maryam Dadar
- Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization, Karaj, Iran
| | - Hari Abdul Samad
- Division of Physiology and Climatology, ICAR-Indian Veterinary Research Institute, Bareilly, India
| | - Ashok Munjal
- Department of Genetics, Barkatullah University, Bhopal, India
| | - Rekha Khandia
- Department of Genetics, Barkatullah University, Bhopal, India
| | - Kumaragurubaran Karthik
- Central University Laboratory, Tamil Nadu Veterinary and Animal Sciences University, Chennai, India
| | - Ruchi Tiwari
- Department of Veterinary Microbiology and Immunology, College of Veterinary Sciences, UP Pandit Deen Dayal Upadhayay Pashu Chikitsa Vigyan Vishwavidyalay Evum Go-Anusandhan Sansthan, Mathura, India
| | - Mohd Iqbal Yatoo
- Division of Veterinary Clinical Complex, Sher-E-Kashmir University of Agricultural Sciences and Technology of Kashmir, Srinagar, India
| | - Prakash Bhatt
- Teaching Veterinary Clinical Complex, College of Veterinary and Animal Sciences, Govind Ballabh Pant University of Agriculture and Technology, Pantnagar, India
| | - Sandip Chakraborty
- Department of Veterinary Microbiology, College of Veterinary Sciences and Animal Husbandry, Agartala, India
| | - Karam Pal Singh
- Division of Pathology, ICAR-Indian Veterinary Research Institute, Bareilly, India
| | - Hafiz M N Iqbal
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey, Mexico
| | - Wanpen Chaicumpa
- Department of Parasitology, Faculty of Medicine, Center of Research Excellence on Therapeutic Proteins and Antibody Engineering, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Sunil Kumar Joshi
- Division of Hematology, Oncology and Bone Marrow Transplantation, Department of Microbiology & Immunology, Department of Pediatrics, University of Miami School of Medicine, Miami, FL, United States
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