Evidence map›Paper›PMID 35241092›Full record

ArticleJournal of translational medicine2022

LPL, FNDC5 and PPARγ gene polymorphisms related to body composition parameters and lipid metabolic profile in adolescents from Southern Italy.

Benedetta Perrone, Paola Ruffo, Samanta Zelasco, Cinzia Giordano, Catia Morelli, Ines Barone, Stefania Catalano, Sebastiano Andò, Diego Sisci, Giovanni Tripepi and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 24% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Benedetta PerroneMedical Genetics Laboratory, Department of Pharmacy and Health and Nutritional Sciences, University of Calabria, Rende, CS, Italy.
Paola RuffoMedical Genetics Laboratory, Department of Pharmacy and Health and Nutritional Sciences, University of Calabria, Rende, CS, Italy.
Samanta ZelascoOlive Growing and Olive Oil Industry Research Centre, Agricultural Research Council, 87036, Rende, CS, Italy.
Cinzia GiordanoDepartment of Pharmacy, Health and Nutritional Sciences, Via P Bucci, 87036, Rende, CS, Italy.
Catia MorelliDepartment of Pharmacy, Health and Nutritional Sciences, Via P Bucci, 87036, Rende, CS, Italy.
Ines BaroneDepartment of Pharmacy, Health and Nutritional Sciences, Via P Bucci, 87036, Rende, CS, Italy.
Stefania CatalanoDepartment of Pharmacy, Health and Nutritional Sciences, Via P Bucci, 87036, Rende, CS, Italy.
Sebastiano AndòCentro Sanitario, University of Calabria, Via P Bucci, 87036, Rende, CS, Italy.
Diego SisciDepartment of Pharmacy, Health and Nutritional Sciences, Via P Bucci, 87036, Rende, CS, Italy.
Giovanni TripepiInstitute of Clinical Physiology of Reggio Calabria, IFC-CNR, Reggio Calabria, Italy.
Corrado MammìMedical Genetics Unit, Great Metropolitan Hospital BMM, Reggio Calabria, Italy.
Daniela Bonofiglio *Department of Pharmacy, Health and Nutritional Sciences, Via P Bucci, 87036, Rende, CS, Italy.
Francesca Luisa Conforti *Medical Genetics Laboratory, Department of Pharmacy and Health and Nutritional Sciences, University of Calabria, Rende, CS, Italy. francescaluisa.conforti@unical.it.ORCID 0000-0001-8364-1783
University of Calabria · ITConsiglio per la ricerca in agricoltura e l’analisi dell’economia agraria · ITIstituto di Fisiologia Clinica · IT

Funding

European Social Fund POR Calabria FESR-FSE 2014-2020
6 · The paper itself

Abstract

backgroundPlasma lipid profile and anthropometric variables are known to be under strong genetic control and the identification of genetic variants associated with bioclinical parameters is of considerable public health importance. In this study, a young cohort of healthy individuals was genotyped for genes related to health and pathological conditions, to analyze the association of single nucleotide polymorphisms (SNPs) with different bioclinical parameters, adherence to the Mediterranean Diet (MD) and physical activity, studying the role of lifestyle and body composition parameters on biochemical metabolic profile.

methodsAssociation analysis of single variants in the genes of lipoprotein lipase (LPL), fibronectin type III domain containing protein 5 (FNDC5), and peroxisome proliferator-activated receptor-gamma (PPARγ) and haplotype analyses were performed.

resultsMultiple (n = 14) common variants in the three genes demonstrated a significant effect on plasma lipoprotein-lipid levels and/or on biochemical parameters in our sample. Specifically, SNPs were related to lipid metabolism (rs3866471, rs4922115, rs11570892, rs248, rs316, rs1059507, rs1801282) or glycemic profile (rs3208305) or anthropometric parameters (rs3480, rs726344, rs1570569) for a total of 26 significant associations (P < 0.01 and/or P < 0.05) and two haplotypes, for the first time, were strongly associated with lipid and body composition parameters. Interestingly, we identified twenty-four new variants not previously described in the literature and a novel significant association between rs80143795 and body composition.

conclusionsIn this study we confirm the association between these SNPs on lipid metabolism and body parameters also in a young cohort, indicating the important role of these genetic factors as determinants of health.

Indexed as

Lipoprotein LipasePPAR gammaAdolescentBody CompositionFibronectinsHumansLipidsMetabolomePolymorphism, Single NucleotideFibronectinsFNDC5 protein, humanLipidsLipoprotein LipasePPAR gammaAnthropometric parametersHealthLDLLipidsSNP

Identifiers

PMID35241092
PMCPMC8895817
OpenAlexW4214874719

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.