Evidence map›Paper›PMID 36900123›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Fatty Acid Profile and Genetic Variants of Proteins Involved in Fatty Acid Metabolism Could Be Considered as Disease Predictor.

Raja Chaaba, Aicha Bouaziz, Asma Ben Amor, Wissem Mnif, Mohamed Hammami, Sounira Mehri

Full text readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed, 1 synthesis or guideline 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

6 authors.

Raja ChaabaLab-NAFS "Nutrition-Functional Food & Health", Faculty of Medicine, University of Monastir, Avicene Street, Monastir 5000, Tunisia.ORCID 0000-0001-5556-5621
Aicha BouazizHigher School of Health Sciences and Techniques, Sousse, University of Sousse, Sousse 4054, Tunisia.
Asma Ben AmorHigher School of Health Sciences and Techniques, Sousse, University of Sousse, Sousse 4054, Tunisia.
Wissem MnifDepartment of Chemistry, Faculty of Sciences, University of Bisha, P.O. Box 199, Bisha 61922, Saudi Arabia.ORCID 0000-0002-8123-4743
Mohamed HammamiLab-NAFS "Nutrition-Functional Food & Health", Faculty of Medicine, University of Monastir, Avicene Street, Monastir 5000, Tunisia.
Sounira MehriLab-NAFS "Nutrition-Functional Food & Health", Faculty of Medicine, University of Monastir, Avicene Street, Monastir 5000, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating fatty acids (FA) have an endogenous or exogenous origin and are metabolized under the effect of many enzymes. They play crucial roles in many mechanisms: cell signaling, modulation of gene expression, etc., which leads to the hypothesis that their perturbation could be the cause of disease development. FA in erythrocytes and plasma rather than dietary FA could be used as a biomarker for many diseases. Cardiovascular disease was associated with elevated trans FA and decreased DHA and EPA. Increased arachidonic acid and decreased Docosahexaenoic Acids (DHA) were associated with Alzheimer's disease. Low Arachidonic acid and DHA are associated with neonatal morbidities and mortality. Decreased saturated fatty acids (SFA), increased monounsaturated FA (MUFA) and polyunsaturated FA (PUFA) (C18:2 n-6 and C20:3 n-6) are associated with cancer. Additionally, genetic polymorphisms in genes coding for enzymes implicated in FA metabolism are associated with disease development. FA desaturase (FADS1 and FADS2) polymorphisms are associated with Alzheimer's disease, Acute Coronary Syndrome, Autism spectrum disorder and obesity. Polymorphisms in FA elongase (ELOVL2) are associated with Alzheimer's disease, Autism spectrum disorder and obesity. FA-binding protein polymorphism is associated with dyslipidemia, type 2 diabetes, metabolic syndrome, obesity, hypertension, non-alcoholic fatty liver disease, peripheral atherosclerosis combined with type 2 diabetes and polycystic ovary syndrome. Acetyl-coenzyme A carboxylase polymorphisms are associated with diabetes, obesity and diabetic nephropathy. FA profile and genetic variants of proteins implicated in FA metabolism could be considered as disease biomarkers and may help with the prevention and management of diseases.

Indexed as

diseasesfatty acidsgene polymorphismsplasmared blood cells

Identifiers

PMID36900123
PMCPMC10001328

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