Evidence map›Paper›PMID 38716757›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

Causal relationship between dyslipidemia and risk of facial aging: Insights from Mendelian randomization in East Asian populations.

Yu Deng, Chuan Li, Ailin Luo, Yang Qiu, Mei Yang

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 It has been retracted, and should not be counted.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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. 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
  3. Causal relationship between dyslipidemia and risk of facial aging: Insights from Mendelian randomization in East Asian populations.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
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yu DengDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Chuan LiDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Ailin LuoDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0001-6244-7540
Yang QiuDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Mei YangDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmerging observational studies showed an association between dyslipidemia and aging. However, it remains unclear whether this association is causal, particularly in the case of Asians, which are aging more rapidly than other continents. Given the visible manifestations of aging often include changes in facial appearance, the objective of this study is to assess the causal relationship between dyslipidemia and facial aging in East Asian populations.

methodsSNPs related to dyslipidemia in East Asian people such as Total cholesterol (TC), High-density-lipoprotein cholesterol (HDL), Low-density-lipoprotein cholesterol (LDL), and Triglyceride (TG) along with outcomes data on facial aging, were extracted from public genome-wide association studies (GWAS). A two-sample Mendelian randomization (MR) analysis was then performed using publicly available GWAS data to investigate the potential causal relationship. The effect estimates were primarily calculated using the fixed-effects inverse variance weighted (IVW) method.

resultsTotally, 88 SNPs related to HDL among 70657 East Asian participants in GWAS. Based on the primary causal effects model using MR analyses with the IVW method, high HDL level was demonstrated as significantly related to the risk of facial aging (OR, 1.060; 95% CI, 1.005-1.119, p = 0.034), while high TC level (OR, 0.995; 95% CI, 0.920-1.076, p = 0.903), high LDL level (OR, 0.980, 95% CI, 0.924-1.041, p = 0.515), as well as high TG level (OR, 0.999, 95% CI, 0.932-1.071, p = 0.974), showed no significant correlation with facial aging.

conclusionsThe two-sample MR analysis conducted in this study revealed a positive causal relationship between high HDL levels and facial aging. In contrast, facial aging demonstrated no significant correlation with high levels of TC, LDL, or TG. Further large-sample prospective studies are needed to validate these findings and to provide appropriate recommendations regarding nutrition management to delay the aging process among old patients in East Asia.

Indexed as

DyslipidemiasGenome-Wide Association StudyMendelian Randomization AnalysisPolymorphism, Single NucleotideAgingAsia, EasternCholesterol, HDLEast Asian PeopleFaceFemaleHumansMaleRisk FactorsSkin AgingCholesterol, HDLdyslipidemiaEast Asianfacial aginghigh‐density‐lipoprotein cholesterolMendelian randomization

Identifiers

PMID38716757
PMCPMC11077566

What OpenQuestion holds

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LicenceCC BY
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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.