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      Methods for detecting of cardiac troponin I biomarkers for myocardial infarction using biosensors: a narrative review of recent research

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          Abstract

          Background and Objective

          In cardiovascular diseases (CVDs), acute myocardial infarction (AMI) is considered one of the leading causes of human death, and its diagnosis mainly relies on the detection of the cardiac biomarker troponin I. Traditional detection methods have certain limitations, which has prompted the development of methods with higher sensitivity and specificity. In recent years, biosensors, as an emerging technology, have been widely applied in the clinical medicine and biodetection fields. We retrieved and reviewed relevant articles published over the past 3 years and subsequently summarized the research progress of different types of biosensors in detecting cardiac troponin I and the challenges faced in achieving simple, specific, and portable point-of-care testing (POCT) technology for bedside rapid detection. The aim of this review is to serve as reference for the early diagnosis and treatment of CVDs.

          Methods

          This study searched for relevant literature published from 2019 to 2022 in the PubMed database of the National Center for Biotechnology Information (NCBI). The keywords used were as follows: “cardiac troponin I”, “biosensor”, “point-of-care testing”, “electrochemical detection”, and “surface-enhanced Raman spectroscopy”.

          Key Content and Findings

          The review found that biosensor technology has high specificity and sensitivity in the detection of cardiac troponin I and is simpler and more convenient than is traditional laboratory testing. Its vigorous development can facilitate the diagnosis of AMI earlier and faster.

          Conclusions

          This study reviewed the progress of cardiac troponin I detection based on biosensing strategies. We found that cardiac troponin I detection methods based on biosensing strategies have their own advantages and disadvantages in clinical applications, and their sensitivity has been constantly improved. In the future, the detection of cardiac troponin I using biosensing technology will be simpler, faster, more sensitive, and portable.

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          Most cited references47

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          Epidemiological Features of Cardiovascular Disease in Asia

          Dong Zhao (2021)
          Cardiovascular disease (CVD) is the leading cause of death in Asia. To combat the harmful impacts of CVD on public health in Asian countries with more effective strategies and actions, it is crucial to understand the current epidemiologic features of CVD in Asia. Through a systematic study and analysis of various timely data on CVD epidemiology in Asian countries from multiple sources, this state-of-the-art review provides an overview of the important epidemiologic features of CVD in Asia. Current and future challenges in CVD prevention implied by the epidemiologic features in Asian countries are highlighted and discussed in this review.
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            High-Sensitivity Cardiac Troponin and the Universal Definition of Myocardial Infarction

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              Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope

              The electrochemical biosensors are a class of biosensors which convert biological information such as analyte concentration that is a biological recognition element (biochemical receptor) into current or voltage. Electrochemical biosensors depict propitious diagnostic technology which can detect biomarkers in body fluids such as sweat, blood, feces, or urine. Combinations of suitable immobilization techniques with effective transducers give rise to an efficient biosensor. They have been employed in the food industry, medical sciences, defense, studying plant biology, etc. While sensing complex structures and entities, a large data is obtained, and it becomes difficult to manually interpret all the data. Machine learning helps in interpreting large sensing data. In the case of biosensors, the presence of impurity affects the performance of the sensor and machine learning helps in removing signals obtained from the contaminants to obtain a high sensitivity. In this review, we discuss different types of biosensors along with their applications and the benefits of machine learning. This is followed by a discussion on the challenges, missing gaps in the knowledge, and solutions in the field of electrochemical biosensors. This review aims to serve as a valuable resource for scientists and engineers entering the interdisciplinary field of electrochemical biosensors. Furthermore, this review provides insight into the type of electrochemical biosensors, their applications, the importance of machine learning (ML) in biosensing, and challenges and future outlook.
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                Author and article information

                Journal
                J Thorac Dis
                J Thorac Dis
                JTD
                Journal of Thoracic Disease
                AME Publishing Company
                2072-1439
                2077-6624
                25 September 2023
                28 September 2023
                : 15
                : 9
                : 5112-5121
                Affiliations
                [1 ]Department of Cardiology , The Affiliated Wuxi No. 2 People’s Hospital of Nanjing Medical University, Wuxi, China;
                [2 ]deptDepartment of Laboratory Medicine , Jiangnan University Medical Center , Wuxi, China;
                [3 ]deptNational Key Laboratory of Radiopharmaceuticals, Jiangsu Key Laboratory of Molecular Nuclear Medicine, Jiangsu Institute of Nuclear Medicine , National Health Commission , Wuxi, China;
                [4 ]deptDepartment of Radiopharmaceuticals, School of Pharmacy , Nanjing Medical University , Nanjing, China;
                [5 ]deptDepartment of Clinical Research Center , Jiangnan University Medical Center , Wuxi, China
                Author notes

                Contributions: (I) Conception and design: C Yang, Z Han, K Wang; (II) Administrative support: C Yang; (III) Provision of study materials or patients: Z Han, C Yang; (IV) Collection and assembly of data: Q Chen; (V) Data analysis and interpretation: Q Chen, W Wu; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

                Correspondence to: Chengjian Yang, MD. Department of Cardiology, The Affiliated Wuxi No. 2 People’s Hospital of Nanjing Medical University, No. 68 Zhongshan Road, Wuxi 214001, China. Email: doctory2071@ 123456sina.com .
                Article
                jtd-15-09-5112
                10.21037/jtd-23-1263
                10586976
                37868839
                d7334f31-4b38-4b6e-afdd-766676b41513
                2023 Journal of Thoracic Disease. All rights reserved.

                Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

                History
                : 11 August 2023
                : 14 September 2023
                Funding
                Funded by: the Foundation of Wuxi Municipal Health Commission, China
                Categories
                Review Article

                cardiac troponin i (ctn i),biosensor,point-of-care testing (poct),electrochemical detection,surface-enhanced raman spectroscopy (sers)

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