Related Experiment Video
Updated: Jul 7, 2026

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
Published on: July 18, 2013
Microbiome-Metabolome Crosstalk in HPV Pathogenesis: From Ecosystem Dynamics to Translational Biomarkers
Mariano A Molina1,2, Wenkui Dai3,4,5
1Department of Laboratory Medicine, Karolinska Institutet, ANA Futura, Huddinge, Sweden.
None:
High-risk human papillomavirus (hrHPV) infection alters the cervicovaginal microenvironment, driving metabolic reprogramming that influences viral persistence and progression to cervical cancer. This review adopts a systems-level perspective to synthesize findings from recent metabolomic studies across urine, vaginal swabs, and cervicovaginal fluids, highlighting consistent trends from cervicovaginal health through hrHPV infection, persistence, cervical lesion development, and cancer. HPV infection is characterized by increased microbial amines and oxidative stress, whereas viral persistence and high-grade cervical lesions exhibit disrupted metabolism of amino acids, lipids, and nucleotides. Cervical cancer is associated with distinct metabolic signatures involving sphingolipids, ketone bodies, and intermediates of the tricarboxylic acid cycle. Collectively, metabolic profiles emerge as functional readouts of host-microbiome interactions, often showing stronger associations with clinical outcomes than microbial composition alone. Integrative multiomics approaches combining metabolomics with microbiome- and host-derived data are beginning to uncover coordinated biological pathways underlying HPV pathogenesis and may improve risk stratification and biomarker discovery. Despite methodological heterogeneity, converging evidence supports the potential of metabolic profiling for early detection of cervical neoplasia and stratification of hrHPV-positive women, although reproducibility across studies remains limited. Future longitudinal and integrative studies, supported by standardized analytical frameworks and computational modeling, are needed to clarify causal mechanisms and enable the development of clinically actionable biomarkers and targeted interventions.
More Related Videos
09:52A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
Published on: January 10, 2025
11:22Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
Related Concept Videos
Introduction to the Human Microbiota
The Oral Microbiota
Human Virome
Dysbiosis of the Gut Microbiota
Microbial Interactions: Parasitism
Microbiota Modulation by Antibiotics