Evidence map›Paper›PMID 38895784›Full record

ArticleSkin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)2024

The causal relationship between blood metabolites and rosacea: A Mendelian randomization.

Huiyi Yao, Sihao Shen, Xingyue Gao, Xiuzu Song, Wenzhong Xiang

RetractedAbstract readRetracted Publication
In one paragraph

Article in Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. The exposomal imprint on rosacea: More than skin deep.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. N-Lactoyl Amino Acids: Emerging Biomarkers in Metabolism and Disease.Diabetes/metabolism research and reviews · 2025
    Review
  7. Article
  8. Explore the genetic exposure to alopecia areata.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  9. The causal relationship between blood metabolites and rosacea: A Mendelian randomization.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Huiyi YaoDepartment of Dermatology, Zhejiang Chinese Medical University, Hangzhou Third People's Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, China.
Sihao ShenDepartment of Dermatology, Zhejiang Chinese Medical University, Hangzhou Third People's Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, China.
Xingyue GaoDepartment of Dermatology, Zhejiang Chinese Medical University, Hangzhou Third People's Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, China.
Xiuzu SongDepartment of Dermatology, Hangzhou Third People's Hospital, Hangzhou, China.
Wenzhong XiangDepartment of Dermatology, Hangzhou Third People's Hospital, Hangzhou, China.ORCID https://orcid.org/0000-0003-3619-7741

Funding

Hangzhou Biomedical and Health Industry Development Support Project 2021WJCY159Hangzhou medical key discipline construction project No [37]21-3
6 · The paper itself

Abstract

backgroundAn increasing amount of research demonstrates that metabolic disorders are related to rosacea. However, the correlations and causal relationships among them remain unknown.

methodsWe conducted not only forward 2-sample MR (Mendelian randomization) analyses but also reverse MR analyses which showed positive results in the forward MR analysis. In the forward MR analyses, inverse-variance weighted (IVW) and MR-Egger were performed as MR analyses. Cochran's Q test and the MR-Egger Intercept were used for sensitivity analyses. Concerning reverse MR analyses, IVW, MR-Egger, weighted median, simple mode, and weighted mode were applied. Cochran's Q test, MR-Egger Intercept, and MR pleiotropy residual sum and outlier (MR-PRESSO) outlier test were applied as sensitivity analyses.

resultsA total of 24 metabolites and 1 metabolite ratio were shown to have a causal effect on rosacea. N-lactoyl phenylalanine (N-Lac-Phe) was estimated as statistically significant by Bonferroni correction. Interestingly, we found three metabolites that were negatively associated with rosacea, especially caffeine, which are in line with the results of a large cohort study of females. For reverse MR analysis, we revealed that rosacea could potentially decrease the generation of two metabolites: octadecenedioate (C18:1-DC) and methyl vanillate sulfate.

conclusionThis study identified blood metabolites that may be associated with the development of rosacea. However, the exact mechanism by which these positive metabolites influence rosacea remains uncertain due to the paucity of experimental investigations. The combination of genetics and metabolomics offers novel viewpoints on the research of underlying mechanisms of rosacea and has significant value in screening and prevention of rosacea.

Indexed as

Mendelian Randomization AnalysisRosaceaCausalityFemaleHumansblood metabolitescaffeineMendelian randomizationN‐lactoyl phenylalaninerosacea

Identifiers

PMID38895784
PMCPMC11187845

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Registered trials

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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.