Evidence map›Paper›PMID 41390442›Full record

ReviewHuman genomics2025

Genetic insights into 5-LOX-activating protein: a narrative review of disease associations.

Katharina Rataj, Ulrike Garscha

Abstract readReview
In one paragraph

Review in Human genomics, 2025. 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

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

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

2 authors.

Katharina RatajDepartment of Pharmaceutical/Medicinal Chemistry, Institute of Pharmacy, Greifswald University, Friedrich-Ludwig-Jahn-Str. 17, 17489, Greifswald, Germany.
Ulrike GarschaDepartment of Pharmaceutical/Medicinal Chemistry, Institute of Pharmacy, Greifswald University, Friedrich-Ludwig-Jahn-Str. 17, 17489, Greifswald, Germany. ulrike.garscha@uni-greifswald.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 5-lipoxygenase-activating protein (FLAP) is an integral membrane protein that is essential for 5-lipoxygenase-mediated leukotriene formation, thereby playing a key role in inflammation and serving as a potential therapeutic target. For over 30 years, researchers have been elucidating the crystal structure, identifying the inhibitor binding site, and developing several potent inhibitors, which have been investigated in preclinical and clinical studies to treat asthma, chronic kidney and cardiovascular diseases. However, despite being almost overlooked, more than 20,000 single nucleotide polymorphisms (SNPs) were detected in the ALOX5AP gene, coding for FLAP. To date, 66 SNPs have been studied in relation to a disease by different researchers, including different population groups. This review aims to synthesize current evidence on genetic variants of FLAP and delineate single SNPs that have been primarily implicated in coronary artery disease, myocardial infarction, and ischemic stroke. Associations between SNPs of ALOX5AP and these diseases have been reported, but findings remain inconsistent due to differences in study design, population diversity and methodological approaches. Although meta-analyses helped to integrate the results of different studies, they remain limited due to underlying differences and cannot provide a definitive conclusion.

Indexed as

5-Lipoxygenase-Activating ProteinsCoronary Artery DiseaseGenetic Predisposition to DiseaseMyocardial InfarctionPolymorphism, Single NucleotideArachidonate 5-LipoxygenaseHumans5-Lipoxygenase-Activating ProteinsALOX5AP protein, humanArachidonate 5-Lipoxygenase5-lipoxygenase-activating proteinCardiovascular diseaseLeukotrienesLipid mediatorPolymorphism

Identifiers

PMID41390442
PMCPMC12821811

What OpenQuestion holds

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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.