Evidence map›Paper›PMID 37997736›Full record

ArticleThe journal of nutrition, health & aging2023

Association between Dried Fruit Intake and DNA Methylation: A Multivariable Mendelian Randomization Analysis.

L Wu, H Pei, Y Zhang, X Zhang, M Feng, L Yuan, M Guo, Y Wei, Z Tang, X Xiang

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Article in The journal of nutrition, health & aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 citing papers in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

L WuXiqiao Xiang. Department of PET Imaging Center, Shanghai Jiaotong University Affiliated Sixth People Hospital South Campus. Shanghai, 201499, China. E-mail: xxiqiao@126.com.
H Pei
Y Zhang
X Zhang
M Feng
L Yuan
M Guo
Y Wei
Z Tang
X Xiang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesObservational studies have reported associations between dried fruit intake and DNA methylation(DNAm). However, inherent flaws in observational study designs make them susceptible to confounding and reverse causality bias. Consequently, it is unclear whether a causal association exists. In the present study, we aimed to investigate the causal associations between dried fruit intake and DNAm.

methodsWe performed two-sample Mendelian randomization (MR) using the IEU Open GWAS database aggregated data. Forty-three single nucleotide polymorphisms (SNPs) associated with dried fruit intake as instrumental variables (IVs) were selected as exposure. DNAm outcomes include Gran (estimated granulocyte proportions); AgeAccelGrim(GrimAge acceleration); Hannum (Hannum age acceleration); IEAA(Intrinsic epigenetic age acceleration), AgeAccelPheno( PhenoAge acceleration), and DNAmPAIadjAge (DNAm-estimated plasminogen activator inhibitor-1 levels). We used the MR pleiotropy residual sum and outlier test (MRPRESSO) and Radial-MR test to identify any level of multi-effect outliers and assessed the causal effect estimates(after removing outliers). The primary causal effects were estimated using inverse-variance weighted (IVW) method and undertook sensitivity analyses using MR methods robust to horizontal pleiotropy.The direct effects of dried fruit intake on DNAm were estimated using multivariable mendelian randomization (MVMR).

resultsLeveraging two-sample MR analysis, we observed statistically significant associations between dried fruit intake with a lower AgeAccelGrim(β=-1.365, 95% confidence intervals [CI] -2.266 to -0.464, PIVW=2.985×10-3) and AgeAccelPheno (β= -1.933, 95% CI -3.068 to -0.798, PIVW=8.371×10-4). By contrast, the effects level on Gran (β=0.008, PIVW=0.430), Hannum(β=-0.430, PIVW=0.357), IEAA(β=-0.184, PIVW=0.700), and DNAmPAIadjAge (β=-1.861, PIVW=0.093) were not statistically significant. MVMR results adjusting for the potential effects of confounders showed that the causal relationship between dried fruit intake and AgeAccelGrim(β= -1.315, 95% CI -2.373 to -0.258, PIVW=1.480×10-2) and AgeAccelPheno(β= -1.595, 95% CI -2.987 to -0.202, PIVW=2.483×10-2) persisted. No significant horizontal polymorphism was found in the sensitivity analysis.

conclusionOur MR study suggested that increased dried fruit intake is associated with slower AgeAccelGrim and AgeAccelPheno. It can providing a promising avenue for exploring the beneficial effects of dried fruit intake on lifespan extension.

Indexed as

DNA MethylationFruitDatabases, FactualGranisetronHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideGranisetroncausalityDNA methylationDried fruit intakeGWASMendelian randomization

Identifiers

PMID37997736
PMCPMC12877234

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