A Review on Saliva-Based Health Diagnostics: Biomarker Selection and Future Directions.

Swati Kumari, Mesk Samara, Remya Ampadi Ramachandran, Sujoy Gosh, Haritha George, Rong Wang, Russell P Pesavento, Mathew T Mathew
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Abstract

The human body has a unique way of saying when something is wrong with it. The molecules in the body fluids can be helpful in the early detection of diseases by enabling health and preventing disease progression. These biomarkers enabling better healthcare are becoming an extensive area of research interest. Biosensors that detect these biomarkers are becoming the future, especially Point Of Care (POC) biosensors that remove the need to be physically present in the hospital. Detection of complex and systemic diseases using biosensors has a long way to go. Saliva-based biosensors are gaining attention among body fluids due to their non-invasive collection and ability to detect periodontal disease and identify systemic diseases. The possibility of saliva-based diagnostic biosensors has gained much publicity, with companies sending home kits for ancestry prediction. Saliva-based testing for covid 19 has revealed effective clinical use and relevance of the economic collection. Based on universal biomarkers, the detection of systemic diseases is a booming research arena. Lots of research on saliva-based biosensors is available, but it still poses challenges and limitations as POC devices. This review paper talks about the relevance of saliva and its usefulness as a biosensor. Also, it has recommendations that need to be considered to enable it as a possible diagnostic tool.

Graphical abstract:

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基于唾液的健康诊断:生物标志物的选择和未来方向综述。
人体有一种独特的方式来判断出了什么问题。体液中的分子可以通过促进健康和防止疾病进展来帮助早期发现疾病。这些能够改善医疗保健的生物标志物正成为人们广泛关注的研究领域。检测这些生物标志物的生物传感器正在成为未来,尤其是消除医院物理存在需求的护理点(POC)生物传感器。使用生物传感器检测复杂的系统性疾病还有很长的路要走。基于唾液的生物传感器由于其非侵入性收集和检测牙周病和识别系统性疾病的能力,在体液中越来越受到关注。基于唾液的诊断生物传感器的可能性已经得到了广泛的宣传,公司将用于祖先预测的试剂盒送回家。基于唾液的新冠肺炎19检测揭示了经济收集的有效临床应用和相关性。基于通用生物标志物,系统性疾病的检测是一个蓬勃发展的研究领域。基于唾液的生物传感器有很多研究,但作为POC设备,它仍然存在挑战和局限性。这篇综述文章讨论了唾液的相关性及其作为生物传感器的有用性。此外,它还有一些建议需要考虑,以使其成为一种可能的诊断工具。图形摘要:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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