Evidence map›Paper›PMID 31137904›Full record

ArticleGenes2019

Inter-Individual Variability in Xenobiotic-Metabolizing Enzymes: Implications for Human Aging and Longevity.

Paolina Crocco, Alberto Montesanto, Serena Dato, Silvana Geracitano, Francesca Iannone, Giuseppe Passarino, Giuseppina Rose

Open access · goldAbstract read
In one paragraph

Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.2field-weighted citation impact, top 12% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Genes and Longevity of Lifespan.International journal of molecular sciences · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. THE EXPOSOME IN HUMAN EVOLUTION: FROM DUST TO DIESEL.The Quarterly review of biology · 2019
    Article
  16. Genetic Support for Longevity-Enhancing Drug Targets: Issues, Preliminary Data, and Future Directions.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Review
  17. Article
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

7 authors at 1 institution in 1 country.

Paolina CroccoDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy. crocco.paola@gmail.com.
Alberto MontesantoDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy. alberto.montesanto@unical.it.
Serena DatoDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy. serena.dato@unical.it.
Silvana GeracitanoDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy. silvana.geracitano@unical.it.
Francesca IannoneDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy. francescaiannonebio@gmail.com.
Giuseppe PassarinoDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy. giuseppe.passarino@unical.it.
Giuseppina RoseDepartment of Biology, Ecology and Earth Sciences, University of Calabria, 87036 Rende, Italy. pina.rose@unical.it.ORCID 0000-0002-4264-4184
University of Calabria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Xenobiotic-metabolizing enzymes (XME) mediate the body's response to potentially harmful compounds of exogenous/endogenous origin to which individuals are exposed during their lifetime. Aging adversely affects such responses, making the elderly more susceptible to toxics. Of note, XME genetic variability was found to impact the ability to cope with xenobiotics and, consequently, disease predisposition. We hypothesized that the variability of these genes influencing the interaction with the exposome could affect the individual chance of becoming long-lived. We tested this hypothesis by screening a cohort of 1112 individuals aged 20-108 years for 35 variants in 23 XME genes. Four variants in different genes (

Indexed as

AdultAgedAged, 80 and overAgingCatechol O-MethyltransferaseCytochrome P-450 CYP2B6Cytochrome P-450 CYP3AFemaleHumansInactivation, MetabolicItalyLongevityMaleMetabolomicsMiddle AgedMultidrug Resistance-Associated Protein 2ABCC2 protein, humanCatechol O-MethyltransferaseCOMT protein, humanCytochrome P-450 CYP2B6Cytochrome P-450 CYP3AMultidrug Resistance-Associated Protein 2XenobioticsaginglongevitypolymorphismSNPsurvivalxenobiotic-metabolizing enzymesxenobiotics

Identifiers

PMID31137904
PMCPMC6562959
OpenAlexW2945976092

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.