Evidence map›Paper›PMID 39161299›Full record

ArticleJournal of cosmetic dermatology2024

Investigation of the anti-skin aging effects of taurine through mendelian randomization analysis of its relationship with immune cells.

Hongtao Liu, Honglai Zheng, Siyuan Zhou, Quan Lin

Abstract read
In one paragraph

Article in Journal of cosmetic dermatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hongtao LiuGuangxi Health Science College, Nanning, China.ORCID https://orcid.org/0000-0001-5532-5599
Honglai ZhengGuangxi Health Science College, Nanning, China.
Siyuan ZhouThe Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Quan LinThe People's Hospital of Laibin, Laibin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAging skin, exacerbated by external factors like UV radiation and pollutants, is a major cosmetic concern. Taurine, renowned for its antioxidant and anti-inflammatory properties, may combat skin aging. We performed mendelian randomization (MR) analysis to investigate the causal link between taurine and immune cells linked to skin aging.

objectivesTo investigate the association between taurine and immune cells using mendelian randomization, to thereby explore the mechanism through which taurine exerts anti-aging effects on the skin via immune modulation.

methodsA MR approach was employed using taurine-level data from the Ieu Open GWAS Project and immunocyte traits from a large European cohort. MR-Egger regression, weighted median estimation, and inverse variance weighting all provided statistical insights into causality. Sensitivity analyses assessed the heterogeneity and pleiotropy among the genetic instruments used.

resultsMR analysis identified a causal relationship between taurine levels and 10 immunocyte phenotypes, with taurine found to be negatively and positively associated with three and seven phenotypes, respectively. Sensitivity analysis revealed no significant heterogeneity or pleiotropy, suggesting reliable MR findings.

conclusionThis study provides insights into the immunological pathways by which taurine contributes to skin anti-aging effects, suggesting that increasing taurine levels could offer a novel strategy for anti-aging skincare.

Indexed as

Mendelian Randomization AnalysisSkin AgingTaurineGenome-Wide Association StudyHumansPhenotypeSkinTaurineanti‐aging treatmentimmune cellsMendelian randomizationmonocytestaurine

Identifiers

PMID39161299
PMCPMC11626342

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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.