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Updated: Feb 28, 2026
07:11
Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
Published on: November 10, 2023
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Advanced computational analysis in metagenomic studies to support precision medicine
Gianmarco Piccinno1, Francesco Asnicar1
1Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Summary
The human microbiome influences health and disease, with computational tools aiding its characterization. Understanding microbiome-disease links and host interactions advances precision medicine and therapeutic strategies.
Area of Science:
- Microbiome research
- Computational biology
- Host-microbiome interactions
Background:
- The human microbiome is integral to host health, influencing disease onset and treatment outcomes.
- Microbiome composition is shaped by factors like diet, lifestyle, and antibiotics.
- Altered microbiome states can serve as biomarkers for diseases such as colorectal cancer and impact immunotherapy response.
Purpose of the Study:
- To review computational methods for microbiome characterization.
- To highlight key findings on microbiome-disease associations.
- To offer perspectives on future research directions and challenges.
Main Methods:
- Literature review of peer-reviewed studies and reviews.
- Selection based on field impact and relevance.
- Utilized major scientific databases (e.g., PubMed) and author expertise.
Main Results:
- Computational approaches enable reproducible microbiome characterization.
- Established links between microbiome composition and various health/disease states.
- Identified microbiome components associated with improved immunotherapy response.
Conclusions:
- Advanced microbiome characterization is crucial for precision medicine.
- Refined microbiome signatures and modulation strategies can inform prevention and treatment.
- Further research is needed to fully leverage the microbiome's therapeutic potential.
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