ArticleArchives of dermatological research2024
Causal relationships between skin microbiome and pathological scars: a bidirectional mendelian randomization study.
Article in Archives of dermatological research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Mitochondria-Related Genome-Wide Mendelian Randomization Identifies Putatively Genes for Chronic Fatigue.Molecular neurobiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Skin bacteria infection could be a potential risk factor on wound scar formation, yet the specifics of this relationship are not fully understood. This research investigates the causal relationships between specific skin microbiome and these diseases by using bidirectional Mendelian randomization (MR). This study employed a bidirectional MR analysis using genome-wide association study (GWAS) data to analyze the associations between skin microbiome and pathological scar. Single nucleotide polymorphisms (SNPs) served as instrumental variables (IVs) in MR methods, including inverse variance weighted (IVW), and MR Egger. The IVW analysis suggested a significant relationship between specific skin microbiome and pathlogical scars. Actinomycetales_Sebaceous, Proteobacteria_Sebaceous, ASV072[Paracoccus (unc.)]_Dry, ASV008[Diaphorobacter nitroreducens]_Dry, Pseudomonadales_moist, ASV001[Propionibacterium acnes]_Moist, Moraxellaceae_moist, Flavobacteriaceae_Dry were significantly associated with keloid. Chryseobacterium_Moist, ASV016[Enhydrobacter(unc.)]_Moist, ASV021[Micrococcus(unc.)]_Moist, ASV022[Streptococcus salivarius]_Moist, Rhodobacteraceae_Dry, Staphylococcus_Moist, Micrococcaceae_Moist, ASV007[Anaerococcus(unc.)]_Dry, Betaproteobacteria_Moist and ASV001[Propionibacterium acnes]_Moist were significantly associated with hypertrophic scarring. Reverse MR analysis indicates both keloid and hypertrophic scar regulated the composition of the skin microbiome. The study revealed a possible correlation between some specific skin microbiome and pathlogical scars. Understanding these inverse relationship could help improve clinical treatment and reducing pathological scar formation.
Indexed as
Identifiers
What Socratic 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 Socratic graph.