Seven secrets of COVID-19: fever, ACE2 receptors, gut-lung axis, metabolomics, microbiomics, probiotics, diet

IF 0.3 Q4 PEDIATRICS
V. Fanos, R. Pintus, Maria Cristina Pintus, M. Mussap, M. A. Marcialis
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引用次数: 4

Abstract

The aim of this work is to investigate 7 secrets of COVID-19 (fever, ACE2 receptors, gut-lung axis, metabolomics, microbiomics, probiotics, diet), hoping to reveal a small part of some of these and to increase anyhow the knowledge on SARS-CoV-2 and its weaknesses to be able to defeat it. In particular, in the opinion of the authors, significant improvements in contrasting the Coronavirus, and the pandemics that will follow, could derive from the use of “omics” disciplines, namely metabolomics (the stethoscope of the future) and microbiomics (an unrecognized player). The discovery of new biomarkers using metabolomics could be used in clinical practice as predictive diagnostic tools or to evaluate the effectiveness and toxicity of a drug, in order to be able to provide the patient with a personalized, tailor-made medicine: precision medicine. Our understanding of the role of the gut microbiome in COVID-19 infection remains in its infancy, but future research may potentially aid our understanding of viral infection, and create new ways in which we might treat and prevent it. We strongly believe that the 3 M’s (Metabolomics, Microbiomics and Machine learning [Artificial Intelligence]) will be the right route to the future for risk assessment, early diagnosis, patient management and decision-making. By now, probiotics could help, fighting face to face against the virus. Moreover, the diet may be a key driver in determining the severity of COVID-19 and further studies are needed to explore the secret language between diet, bacteria, viruses and metabolites in determining individualized susceptibility or resilience to COVID-19.
新冠肺炎的七个秘密:发烧、ACE2受体、骨肺轴、代谢组学、微生物组学、益生菌、饮食
这项工作的目的是研究COVID-19的7个秘密(发烧,ACE2受体,肠-肺轴,代谢组学,微生物组学,益生菌,饮食),希望揭示其中的一小部分,并增加对SARS-CoV-2及其弱点的了解,以便能够击败它。特别是,在作者看来,对比冠状病毒和随后的大流行的重大改进可能来自“组学”学科的使用,即代谢组学(未来的听诊器)和微生物组学(一个未被认识的参与者)。利用代谢组学发现新的生物标志物可以在临床实践中用作预测性诊断工具或评估药物的有效性和毒性,以便能够为患者提供个性化的、量身定制的药物:精准医疗。我们对肠道微生物群在COVID-19感染中的作用的理解仍处于起步阶段,但未来的研究可能有助于我们对病毒感染的理解,并创造出治疗和预防病毒感染的新方法。我们坚信,代谢组学、微生物组学和机器学习(人工智能)将是未来风险评估、早期诊断、患者管理和决策的正确途径。到目前为止,益生菌可以提供帮助,面对面地对抗病毒。此外,饮食可能是确定COVID-19严重程度的关键驱动因素,需要进一步的研究来探索饮食、细菌、病毒和代谢物之间的秘密语言,以确定个人对COVID-19的易感性或复原力。
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来源期刊
CiteScore
1.00
自引率
25.00%
发文量
0
审稿时长
12 weeks
期刊介绍: The Journal of Pediatric and Neonatal Individualized Medicine (JPNIM) is a peer-reviewed interdisciplinary journal which provides a forum on new perspectives in pediatric and neonatal medicine. The aim is to discuss and to bring readers up to date on the latest in research and clinical pediatrics and neonatology. Special emphasis is on developmental origin of health and disease or perinatal programming and on the so-called ‘-omic’ sciences. Systems medicine blazes a revolutionary trail from reductionist to holistic medicine, from descriptive medicine to predictive medicine, from an epidemiological perspective to a personalized approach. The journal will be relevance to clinicians and researchers concerned with personalized care for the newborn and child. Also medical humanities will be considered in a tailored way. Article submission (original research, review papers, invited editorials and clinical cases) will be considered in the following fields: fetal medicine, perinatology, neonatology, pediatrics, developmental programming, psychology and medical humanities.
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