Multi-cohort metagenomics reveals strain functional heterogeneity and demonstrates fecal microbial load correction improves colorectal cancer diagnostic models
Our study underscores the biological relevance of strain level analysis in elucidating functional diversity within the microbiome. However, higher taxonomic levels provide more robust and clinically translatable diagnostic markers for CRC. Integrating FML correction with multi-level taxonomic profiling enhances both mechanistic insight into microbiom CRC interactions and the generalizability of diagnostic models across diverse populations.
Authors
- Jianfeng Zhong (ORCID: https://orcid.org/0000-0002-5010-4997)
- Zhiyuan Liu (ORCID: https://orcid.org/0000-0002-7709-2543)
- Xinyi Zhang (ORCID: https://orcid.org/0000-0002-0581-9707)
- Honglei Chen (ORCID: https://orcid.org/0000-0002-5860-4734)
- Guangyi Li (ORCID: https://orcid.org/0000-0003-4487-4386)
- Qiucheng Li (ORCID: https://orcid.org/0000-0002-6325-2438)
- Xiaoling Fang (ORCID: https://orcid.org/0000-0002-8509-5867)
- Heng Xiong
Institutions
- Sun Yat-sen University (CN)
- Hunan University (CN)
- Eighth Affiliated Hospital of Sun Yat-sen University
Publication Details
- Journal
- Frontiers in Microbiology
- Published
- 2025-09-24
- DOI
- https://doi.org/10.3389/fmicb.2025.1656016
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 0.00