ArticleGut microbes2026
Dereplication-assisted culturomics enables strain-level ecological analysis of the human gut microbiome.
Article in Gut microbes, 2026. 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advances in culturomics have enabled large-scale recovery of microbial isolates from the human gut, generating extensive culture collections that bridge metagenomic predictions and experimental validation. However, these isolate resources remain largely underutilized, as conventional culturomics prioritizes the discovery of novel species while massive collections of commensal isolates persist as unexplored biological datasets. Dereplication, particularly based on MALDI-TOF MS spectral features, has been largely regarded as a logistical tool for managing redundancy rather than an analytical asset. Here, we reposition dereplication as an analytical framework for interpreting large-scale culturomics datasets and resolving strain-level ecological patterns. We applied the SPeDE pipeline to a comprehensive collection of 2,231 isolates, including
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.