ArticleJournal of translational medicine2025
Dermatological implications of alignment-based de-hosting and bioinformatics pipelines on shotgun microbiome analysis.
Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe skin microbiome is a critical component of dermatological health, with its dysbiosis implicated in conditions ranging from atopic dermatitis to cancer. Shotgun metagenomics offers an unparalleled resolution for comprehensive taxonomic and functional profiling, yet its application in dermatology is hampered by the high proportion of host DNA and the lack of consensus on best-practice bioinformatic pipelines. While Illumina's proprietary DRAGEN platform is widely used, its closed-source nature and cost limitations necessitate the validation of robust, open-source alternatives to democratize access and enable customization.
methodsThis study evaluates the performance of Kraken-based open-source pipeline as a viable alternative to the DRAGEN platform as well as the effect of currently available alignment-based de-hosting methods-Bowtie2, BWA, and Rsubread-to remove human DNA, assuring the use of highly-curated human reference genome thus avoiding the limitations of potentially incomplete or contaminated k-mer-based databases. By using shotgun metagenomic data from 83 healthy individuals we systematically compared the impact of these de-hosting procedures prior to Kraken2/DRAGEN taxonomic classification and functional profiling using HUMAnN 3.0 to assess the influence of methodological choices on skin microbial community composition and metabolic pathway abundance interpretation.
resultsOur analysis revealed marked discrepancies arising from the choice of de-hosting tool and taxonomic classifier, leading to substantial variability in microbial and functional profiles that could compromise clinical interpretation. Among the pipelines tested, Bowtie2 de-hosting combined with Kraken2 taxonomic classification and HUMAN functional profiling efficiently recovered well-established sex- and age-related bacterial associations in healthy skin that were missed by all other methods, including DRAGEN. This superior performance, together with its customizable features, underscores the value of this workflow for robust and clinically relevant dermatological metagenomic studies.
conclusionsOur findings underscore the decisive impact of bioinformatic pipeline selection on skin microbiome analysis and offer actionable guidance for reproducible and clinically meaningful research. We present a customizable workflow that enhances reproducibility and transparency while improving the translational value of metagenomic data. This approach strengthens the reliability of microbiome studies and supports the development of precision diagnostics and personalized therapeutic strategies in dermatology.
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.