Evidence map›Paper›PMID 25371596›Full record

Trial reportDisease markers2014

Individually tailored screening of susceptibility to sarcopenia using p53 codon 72 polymorphism, phenotypes, and conventional risk factors.

Laura Di Renzo, Santo Gratteri, Francesca Sarlo, Andrea Cabibbo, Carmen Colica, Antonino De Lorenzo

Open access · hybridAbstract readClinical Trial
In one paragraph

Trial report in Disease markers, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Fasting: How to Guide.Nutrients · 2021
    Article
  9. Review
  10. Review
  11. Obesity subtypes, related biomarkers & heterogeneity.The Indian journal of medical research · 2020
    Review
  12. Review
  13. Why primary obesity is a disease?Journal of translational medicine · 2019
    Review
  14. Article
  15. The influence of diet on anti-cancer immune responsiveness.Journal of translational medicine · 2018
    Review
  16. Article
  17. Article
  18. Review
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 at 3 institutions in 1 country.

Laura Di RenzoDepartment of Biomedicine and Prevention, Division of Clinical Nutrition and Nutrigenomics, University of Rome "Tor Vergata", Via Montpellier 1, 00133 Rome, Italy ; Nuova Clinica Annunziatella, 00147 Roma, Italy.
Santo GratteriDepartment of Surgery and Medical Science, University "Magna Graecia", 88100 Germaneto, Italy.
Francesca SarloDepartment of Agriculture, University of Naples "Federico II", 80055 Portici, Italy.
Andrea CabibboDepartment of Biology, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0002-9161-6681
Carmen ColicaCNR, ISN UOS of Pharmacology, Department of Pharmacology, University "Magna Graecia", 88100 Roccelletta di Borgia, Italy.
Antonino De LorenzoDepartment of Biomedicine and Prevention, Division of Clinical Nutrition and Nutrigenomics, University of Rome "Tor Vergata", Via Montpellier 1, 00133 Rome, Italy ; Nuova Clinica Annunziatella, 00147 Roma, Italy ; National Institute for Mediterranean Diet and Nutrigenomics (I.N.Di.M.), 87032 Amantea, Italy.ORCID 0000-0001-6524-4493
University of Rome Tor Vergata · ITMagna Graecia University · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimp53 activity plays a role in muscle homeostasis and skeletal muscle differentiation; all pathways that lead to sarcopenia are related to p53 activities. We investigate the allelic frequency of the TP53 codon 72 in exon 4 polymorphism in the Italian female population and the association with appendicular skeletal muscle mass index in normal weight (NW), normal weight obese (NWO), and preobese-obese (Preob-Ob) subjects.

methodsWe evaluated anthropometry, body composition, and p53 polymorphism in 140 women distinguished in NW, NWO, and Preob-Ob.

results*Arg/*Arg genotype increases sarcopenia risk up to 20% (*Arg/*Arg genotype OR = 1.20; 95% CI = 0.48-2.9; *proallele carriers OR = 0.83; 95% CI = 0.83-2.06). The risk of being sarcopenic for *Arg/*Arg genotype in NWO and Preob-Ob is 31% higher than NW carriers of *proallele (RR = 0,31, 95% CI = 0,15-0,66, P = 0,0079). We developed a model able to predict sarcopenia risk based on age, body fat, and p53 polymorphism.

conclusionOur study evidences that genotyping TP53 polymorphism could be a useful new genetic approach, in association with body composition evaluations, to assess sarcopenia risk.

Indexed as

Body WeightPhenotypePolymorphism, Single NucleotideAdolescentAdultAgedCodonFemaleHumansMiddle AgedModels, GeneticObesityRisk FactorsSarcopeniaTumor Suppressor Protein p53CodonTumor Suppressor Protein p53

Identifiers

PMID25371596
PMCPMC4211310
OpenAlexW2164040048

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.