Cell-free nucleic acid patterns in disease prediction and monitoring-hype or hope?
Cell-free nucleic acid patterns in disease prediction and monitoring-hype or hope?
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DOI：
10.1007/s13167-020-00226-x
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发表时间：
2020-12
期刊：
影响因子：
--
通讯作者：
Golubnitschaja O
中科院分区：
文献类型：
--
作者：
Crigna AT;Samec M;Koklesova L;Liskova A;Giordano FA;Kubatka P;Golubnitschaja O
使用无细胞核酸（CFNA）作为用于预测和预防多种疾病的临床非侵入性生物标志物组的兴趣在过去十年中大大增加。事实上，循环CFNA可归因于许多生理和病理过程，例如不平衡的应激条件、身体活动、不同来源的广泛细胞凋亡、全身性缺氧缺血事件和肿瘤进展等。这篇文章强调了循环CFNAs在处理这个问题的局部和全身过程中的参与，无论是血液中CFNAs的特定模式，它们的检测，数量和质量（如它们的甲基化状态）可能有助于预测疾病的发展/进展，并可进一步用于伴随诊断，有针对性的预防，创建个性化的治疗算法，治疗监测和预后。提出的考虑符合3 P医学的原则，并为改善个人的结果和提供给人口的医疗服务的成本效益。
Interest in the use of cell-free nucleic acids (CFNAs) as clinical non-invasive biomarker panels for prediction and prevention of multiple diseases has greatly increased over the last decade. Indeed, circulating CFNAs are attributable to many physiological and pathological processes such as imbalanced stress conditions, physical activities, extensive apoptosis of different origin, systemic hypoxic-ischemic events and tumour progression, amongst others. This article highlights the involvement of circulating CFNAs in local and systemic processes dealing with the question, whether specific patterns of CFNAs in blood, their detection, quantity and quality (such as their methylation status) might be instrumental to predict a disease development/progression and could be further utilised for accompanying diagnostics, targeted prevention, creation of individualised therapy algorithms, therapy monitoring and prognosis. Presented considerations conform with principles of 3P medicine and serve for improving individual outcomes and cost efficacy of medical services provided to the population.
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