Metaomics in Clinical Laboratory: Potential Driving Force for Innovative Disease Diagnosis

Currently, more and more studies suggested that reductionism was lack of holistic and integrative view of biological processes, leading to limited understanding of complex systems like microbiota and the associated diseases. In fact, microbes are rarely present in individuals but normally live in co...

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Main Authors: Liang Wang, Fen Li, Bin Gu, Pengfei Qu, Qinghua Liu, Junjiao Wang, Jiawei Tang, Shubin Cai, Qi Zhao, Zhong Ming
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Microbiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2022.883734/full
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author Liang Wang
Fen Li
Bin Gu
Pengfei Qu
Qinghua Liu
Junjiao Wang
Jiawei Tang
Shubin Cai
Qi Zhao
Zhong Ming
author_facet Liang Wang
Fen Li
Bin Gu
Pengfei Qu
Qinghua Liu
Junjiao Wang
Jiawei Tang
Shubin Cai
Qi Zhao
Zhong Ming
author_sort Liang Wang
collection DOAJ
description Currently, more and more studies suggested that reductionism was lack of holistic and integrative view of biological processes, leading to limited understanding of complex systems like microbiota and the associated diseases. In fact, microbes are rarely present in individuals but normally live in complex multispecies communities. With the recent development of a variety of metaomics techniques, microbes could be dissected dynamically in both temporal and spatial scales. Therefore, in-depth understanding of human microbiome from different aspects such as genomes, transcriptomes, proteomes, and metabolomes could provide novel insights into their functional roles, which also holds the potential in making them diagnostic biomarkers in many human diseases, though there is still a huge gap to fill for the purpose. In this mini-review, we went through the frontlines of the metaomics techniques and explored their potential applications in clinical diagnoses of human diseases, e.g., infectious diseases, through which we concluded that novel diagnostic methods based on human microbiomes shall be achieved in the near future, while the limitations of these techniques such as standard procedures and computational challenges for rapid and accurate analysis of metaomics data in clinical settings were also examined.
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spelling doaj.art-1bf3b9ce345b446695a7c3751dc2324e2022-12-22T00:18:55ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2022-06-011310.3389/fmicb.2022.883734883734Metaomics in Clinical Laboratory: Potential Driving Force for Innovative Disease DiagnosisLiang Wang0Fen Li1Bin Gu2Pengfei Qu3Qinghua Liu4Junjiao Wang5Jiawei Tang6Shubin Cai7Qi Zhao8Zhong Ming9Department of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, ChinaDepartment of Laboratory Medicine, Huaiyin Hospital, Huai’an, ChinaDepartment of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, ChinaThe First School of Clinical Medicine, Xuzhou Medical University, Xuzhou, ChinaState Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, Macao SAR, ChinaDepartment of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, ChinaDepartment of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, ChinaCollege of Computer Science and Software Engineering, Shenzhen University, Shenzhen, ChinaSchool of Computer Science and Software Engineering, University of Science and Technology Liaoning, Anshan, ChinaCollege of Computer Science and Software Engineering, Shenzhen University, Shenzhen, ChinaCurrently, more and more studies suggested that reductionism was lack of holistic and integrative view of biological processes, leading to limited understanding of complex systems like microbiota and the associated diseases. In fact, microbes are rarely present in individuals but normally live in complex multispecies communities. With the recent development of a variety of metaomics techniques, microbes could be dissected dynamically in both temporal and spatial scales. Therefore, in-depth understanding of human microbiome from different aspects such as genomes, transcriptomes, proteomes, and metabolomes could provide novel insights into their functional roles, which also holds the potential in making them diagnostic biomarkers in many human diseases, though there is still a huge gap to fill for the purpose. In this mini-review, we went through the frontlines of the metaomics techniques and explored their potential applications in clinical diagnoses of human diseases, e.g., infectious diseases, through which we concluded that novel diagnostic methods based on human microbiomes shall be achieved in the near future, while the limitations of these techniques such as standard procedures and computational challenges for rapid and accurate analysis of metaomics data in clinical settings were also examined.https://www.frontiersin.org/articles/10.3389/fmicb.2022.883734/fullmicrobiologymicrobiomeomicsbiomarkerdiseasesrapid diagnosis
spellingShingle Liang Wang
Fen Li
Bin Gu
Pengfei Qu
Qinghua Liu
Junjiao Wang
Jiawei Tang
Shubin Cai
Qi Zhao
Zhong Ming
Metaomics in Clinical Laboratory: Potential Driving Force for Innovative Disease Diagnosis
Frontiers in Microbiology
microbiology
microbiome
omics
biomarker
diseases
rapid diagnosis
title Metaomics in Clinical Laboratory: Potential Driving Force for Innovative Disease Diagnosis
title_full Metaomics in Clinical Laboratory: Potential Driving Force for Innovative Disease Diagnosis
title_fullStr Metaomics in Clinical Laboratory: Potential Driving Force for Innovative Disease Diagnosis
title_full_unstemmed Metaomics in Clinical Laboratory: Potential Driving Force for Innovative Disease Diagnosis
title_short Metaomics in Clinical Laboratory: Potential Driving Force for Innovative Disease Diagnosis
title_sort metaomics in clinical laboratory potential driving force for innovative disease diagnosis
topic microbiology
microbiome
omics
biomarker
diseases
rapid diagnosis
url https://www.frontiersin.org/articles/10.3389/fmicb.2022.883734/full
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