ReviewJID innovations : skin science from molecules to population health2025
Toward the Next Generation of In Silico Modeling of Dynamic Host-Microbiota Interactions in the Skin.
Review in JID innovations : skin science from molecules to population health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Recent Developments and Applicability of In Vitro Gut Microbiota Models in Biomedical Research and Digestive Diseases-A Systematic Review.Medicina (Kaunas, Lithuania) · 2026Pooled it
- Current research landscape and future prospects of in silico modeling approaches for atopic dermatitis.JID innovations : skin science from molecules to population health · 2026Review
- Transformer Models, Graph Networks, and Generative AI in Gut Microbiome Research: A Narrative Review.Bioengineering (Basel, Switzerland) · 2026Review
- Skin in the game: a review of computational models of the skin.BioData mining · 2025Review
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
Understanding how the skin microbiota contributes to skin health and disease requires knowledge of the dynamic interactions between the skin and its resident microbes. In silico modeling complements in vivo and in vitro experiments by enabling a systems-level understanding of dynamic skin-microbiota interactions. However, the number of published in silico skin microbiota models remains limited. This paper provides the first comprehensive exploration of in silico skin microbiota modeling. We identify current challenges, learn from leading experimental validation approaches adopted in in silico gut microbiota research, and propose ways to enhance the predictive power of in silico skin microbiota models.
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.