ArticleCell host & microbe2021
Hair of the mouse: A skin bacteria "cocktail" gets follicles back on their feet.
Article in Cell host & microbe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Beyond scarring: immune-epithelial crosstalk in wound-induced hair follicle neogenesis.Frontiers in immunology · 2026Review
- The skin microbiome in dermatologic disease.Journal of the American Academy of Dermatology · 2025Review
Corrections and comments
- Comment on
Authors and funding
3 authors.
Funding
Abstract
Microbes can boost cutaneous immune defense and skin reparative capacity. However, mechanistic understanding, especially of the latter, remains sparse. In this issue of Cell Host & Microbe, Wang et al. (2021) shed light on this, demonstrating that bacteria contribute to hair follicle neogenesis after skin wounding via keratinocyte-intrinsic IL-1R1 signaling.
Indexed as
Identifiers
33984276What 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.