ArticleFrontiers in microbiology2024
CHAMP delivers accurate taxonomic profiles of the prokaryotes, eukaryotes, and bacteriophages in the human microbiome.
Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Effect of pasteurizedGut microbes · 2026Trial
- Polyphenol-rich sugarcane extract reduces circulatingFrontiers in nutrition · 2026Trial
- Impact ofFrontiers in nutrition · 2026Trial
- Microbiome compositional changes and clonal engraftment in a phase 3 trial of fecal microbiota, live-jslm for recurrentGut microbes · 2025Trial
- SIMPLER: the Swedish infrastructure for medical population-based life-course and environmental research.European journal of epidemiology · 2026Article
- Gut microbiome composition and functional potential associate with incident type 2 diabetes in 4,685 adults from a Swedish prospective cohort.Cell reports. Medicine · 2026Article
- Antibiotic use and gut microbiome composition links from individual-level prescription data of 14,979 individuals.Nature medicine · 2026Article
- Genome-wide association analyses highlight the role of the intestinal molecular environment in human gut microbiota variation.Nature genetics · 2026Article
- The HUNT study identifies host genetic factors reproducibly associated with human gut microbiota composition.Nature genetics · 2026Article
- Metagenomic analysis of tongue samples from healthy subjects identifies distinct microbiome orotypes.Journal of oral microbiology · 2026Article
- Associations between sodium intake and gut microbiota composition.Frontiers in nutrition · 2026Article
- Cross-platform, multi-cohort identification of a caries microbial signature.Journal of oral microbiology · 2026Article
- Sequence modeling tools to decode the biosynthetic diversity of the human microbiome.mSystems · 2025Review
- The association between the gut microbiome and 24-h blood pressure measurements in the SCAPIS study.Communications medicine · 2025Article
- Microbiome composition and metabolic pathways in shallow and deep periodontal pockets.Scientific reports · 2025Article
- Partially hydrolyzed, whey-based infant formula with six human milk oligosaccharides,Frontiers in nutrition · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Accurate taxonomic profiling of the human microbiome composition is crucial for linking microbial species to health outcomes. Therefore, we created the Clinical Microbiomics Human Microbiome Profiler (CHAMP), a comprehensive tool designed for the profiling of prokaryotes, eukaryotes, and viruses across all body sites. Methods: CHAMP uses a reference database derived from 30,382 human microbiome samples, covering 6,567 prokaryotic and 244 eukaryotic species, as well as 64,003 viruses. We benchmarked CHAMP against established profiling tools (MetaPhlAn 4, Bracken 2, mOTUs 3, and Phanta) using a diverse set of Results: CHAMP demonstrated unparalleled species recall, F1 score, and significantly reduced false positives compared to all other tools benchmarked. The false positive relative abundance (FPRA) for CHAMP was, on average, 50-fold lower than the second-best performing profiler. CHAMP also proved to be more robust than other tools at low sequencing depths, highlighting its application for low biomass samples. Discussion: Taken together, this establishes CHAMP as a best-in-class human microbiome profiler of prokaryotes, eukaryotes, and viruses in diverse and complex communities across low and high biomass samples. CHAMP profiling is offered as a service by Clinical Microbiomics A/S and is available for a fee at https://cosmosidhub.com.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.