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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
Microbiome Research and Multi-Omics Integration for Personalized Medicine in Asthma
Marianthi Logotheti1,2, Panagiotis Agioutantis1, Paraskevi Katsaounou3
1G.P. Livanos and M. Simou Laboratories, 1st Department of Critical Care Medicine & Pulmonary Services, Evangelismos Hospital, Medical School, National Kapodistrian University of Athens, 3 Ploutarchou Str., 10675 Athens, Greece.
Microbiota dysbiosis contributes to asthma complexity and diverse patient responses. Research links specific bacterial signatures, like Proteobacteria, to severe asthma, paving the way for microbe-based diagnostics and treatments.
Area of Science:
- Respiratory Medicine
- Microbiology
- Systems Biology
Background:
- Asthma is a complex inflammatory respiratory disease with varied clinical presentations and treatment responses.
- The human microbiome is crucial for immune system development; disruptions (dysbiosis) are linked to chronic inflammation and diseases like asthma.
Purpose of the Study:
- To review the role of microbiota dysbiosis in asthma pathogenesis and heterogeneity.
- To explore how integrating microbiome and host multi-omics data advances understanding of asthma complexity.
- To identify potential microbial biomarkers and therapeutic targets for asthma.
Main Methods:
- Review of recent studies on microbiota and asthma.
- Analysis of systems biology approaches, including microbiome analysis.
- Integration of microbiome and host multi-omics data.
Main Results:
- Microbiota dysbiosis is implicated in asthma pathogenesis and heterogeneity.
- Specific microbial signatures, including Proteobacteria (Haemophilus, Moraxella), are associated with refractory neutrophilic asthma.
- Multi-omics data integration offers deeper insights into host-microbe interactions in asthma.
Conclusions:
- Understanding microbiota-host interactions is key to unraveling asthma complexity.
- Microbial signatures may serve as biomarkers for asthma classification and monitoring.
- Microbe-based personalized strategies hold promise for diagnosing and treating uncontrollable asthma.
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