Evidence mapPaperPMID 39770895Full record

ArticleNutrients2024

Association of Metabolic Diseases and Moderate Fat Intake with Myocardial Infarction Risk.

Junyu Zhou, Meiling Liu, Sunmin Park

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Junyu ZhouInstitute of Advanced Clinical Medicine, Peking University, Beijing 100191, China.ORCID 0000-0001-5931-1477
Meiling LiuDepartment of Chemical Engineering, Shanxi Institute of Science and Technology, Jincheng 048011, China.
Sunmin ParkDepartment of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, 20 Hoseoro97bungil, BaeBang-Yup, Asan 31499, Republic of Korea.ORCID 0000-0002-6092-8340

Funding

the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT RS-2023-00208567
6 · The paper itself

Abstract

backgroundMyocardial infarction (MI) can range from mild to severe cardiovascular events and typically develops through complex interactions between genetic and lifestyle factors.

objectivesWe aimed to understand the genetic predisposition associated with MI through genetic correlation, colocalization analysis, and cells' gene expression values to develop more effective prevention and treatment strategies to reduce its burden.

methodsA polygenic risk score (PRS) was employed to estimate the genetic risk for MI and to analyze the dietary interactions with PRS that affect MI risk in adults over 45 years (

resultsTen significant genetic variants associated with MI risk were related to cardiac, immune, and brain functions. A high PRS was associated with a threefold increase in MI risk (OR: 3.074, 95% CI: 2.354-4.014,

conclusionsThis study identified novel genetic variants and gene expression patterns associated with MI risk, influenced by their interaction with fat and alcohol intake, and smoking status. Our findings provide insights for developing personalized prevention and treatment strategies targeting this complex clinical presentation of MI.

Indexed as

Genetic Predisposition to DiseaseMyocardial InfarctionAgedDietary FatsFemaleHumansMaleMetabolic DiseasesMetabolic SyndromeMiddle AgedRisk FactorsDietary Fatsfatmetabolic syndromemyocardial infarctionpolygenic risk scoreprecision medicinesingle-cell RNA sequencing

Identifiers

PMID39770895
PMCPMC11679910

What Socratic holds

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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 Socratic graph.