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Metabolic Syndrome—An Emerging Constellation of Risk Factors: Electrochemical Detection Strategies
Metabolic syndrome is a condition that results from dysfunction of different metabolic pathways leading to increased risk of disorders such as hyperglycemia, atherosclerosis, cardiovascular diseases, cancer, neurodegenerative disorders etc. As this condition cannot be diagnosed based on a single mar...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982738/ https://www.ncbi.nlm.nih.gov/pubmed/31878023 http://dx.doi.org/10.3390/s20010103 |
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author | Sasya, Madhurantakam Devi, K. S. Shalini Babu, Jayanth K. Balaguru Rayappan, John Bosco Krishnan, Uma Maheswari |
author_facet | Sasya, Madhurantakam Devi, K. S. Shalini Babu, Jayanth K. Balaguru Rayappan, John Bosco Krishnan, Uma Maheswari |
author_sort | Sasya, Madhurantakam |
collection | PubMed |
description | Metabolic syndrome is a condition that results from dysfunction of different metabolic pathways leading to increased risk of disorders such as hyperglycemia, atherosclerosis, cardiovascular diseases, cancer, neurodegenerative disorders etc. As this condition cannot be diagnosed based on a single marker, multiple markers need to be detected and quantified to assess the risk facing an individual of metabolic syndrome. In this context, chemical- and bio-sensors capable of detecting multiple analytes may provide an appropriate diagnostic strategy. Research in this field has resulted in the evolution of sensors from the first generation to a fourth generation of ‘smart’ sensors. A shift in the sensing paradigm involving the sensing element and transduction strategy has also resulted in remarkable advancements in biomedical diagnostics particularly in terms of higher sensitivity and selectivity towards analyte molecule and rapid response time. This review encapsulates the significant advancements reported so far in the field of sensors developed for biomarkers of metabolic syndrome. |
format | Online Article Text |
id | pubmed-6982738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69827382020-02-28 Metabolic Syndrome—An Emerging Constellation of Risk Factors: Electrochemical Detection Strategies Sasya, Madhurantakam Devi, K. S. Shalini Babu, Jayanth K. Balaguru Rayappan, John Bosco Krishnan, Uma Maheswari Sensors (Basel) Review Metabolic syndrome is a condition that results from dysfunction of different metabolic pathways leading to increased risk of disorders such as hyperglycemia, atherosclerosis, cardiovascular diseases, cancer, neurodegenerative disorders etc. As this condition cannot be diagnosed based on a single marker, multiple markers need to be detected and quantified to assess the risk facing an individual of metabolic syndrome. In this context, chemical- and bio-sensors capable of detecting multiple analytes may provide an appropriate diagnostic strategy. Research in this field has resulted in the evolution of sensors from the first generation to a fourth generation of ‘smart’ sensors. A shift in the sensing paradigm involving the sensing element and transduction strategy has also resulted in remarkable advancements in biomedical diagnostics particularly in terms of higher sensitivity and selectivity towards analyte molecule and rapid response time. This review encapsulates the significant advancements reported so far in the field of sensors developed for biomarkers of metabolic syndrome. MDPI 2019-12-23 /pmc/articles/PMC6982738/ /pubmed/31878023 http://dx.doi.org/10.3390/s20010103 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Sasya, Madhurantakam Devi, K. S. Shalini Babu, Jayanth K. Balaguru Rayappan, John Bosco Krishnan, Uma Maheswari Metabolic Syndrome—An Emerging Constellation of Risk Factors: Electrochemical Detection Strategies |
title | Metabolic Syndrome—An Emerging Constellation of Risk Factors: Electrochemical Detection Strategies |
title_full | Metabolic Syndrome—An Emerging Constellation of Risk Factors: Electrochemical Detection Strategies |
title_fullStr | Metabolic Syndrome—An Emerging Constellation of Risk Factors: Electrochemical Detection Strategies |
title_full_unstemmed | Metabolic Syndrome—An Emerging Constellation of Risk Factors: Electrochemical Detection Strategies |
title_short | Metabolic Syndrome—An Emerging Constellation of Risk Factors: Electrochemical Detection Strategies |
title_sort | metabolic syndrome—an emerging constellation of risk factors: electrochemical detection strategies |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982738/ https://www.ncbi.nlm.nih.gov/pubmed/31878023 http://dx.doi.org/10.3390/s20010103 |
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