Evidence map›Paper›PMID 32660606›Full record

ArticleClinical epigenetics2020

Highly accurate skin-specific methylome analysis algorithm as a platform to screen and validate therapeutics for healthy aging.

Mariana Boroni, Alessandra Zonari, Carolina Reis de Oliveira, Kallie Alkatib, Edgar Andres Ochoa Cruz, Lear E Brace, Juliana Lott de Carvalho

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06243744 (Histological Evaluation of Human Skin Biopsies to Assess the Effects of Renuvion APR Treatment as an Adjunct Procedure in Facelift Surgery), which is not on this map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.5field-weighted citation impact, top 10% 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.

NCT06243744 nacompletednot on this mapstarted 2023, after this paper: background citation

Histological Evaluation of Human Skin Biopsies to Assess the Effects of Renuvion APR Treatment as an Adjunct Procedure in Facelift Surgery

TypeinterventionalSponsorApyx MedicalRan2023 to 2025Enrolled7ConditionsSkin Laxity, Tissue Degeneration, Tissue Breakdown, Collagen DegenerationArmsRenuvion APR System
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
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  12. Genetic effects on the skin methylome in healthy older twins.American journal of human genetics · 2024
    Article
  13. The Gut and Skin Microbiome and Its Association with Aging Clocks.International journal of molecular sciences · 2024
    Review
  14. Article
  15. Article
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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

7 authors at 2 institutions in 3 countries.

Mariana BoroniBioinformatics and Computational Biology Lab, Division of Experimental and Translational Research, Brazilian National Cancer Institute, Rio de Janeiro, RJ, 20231-050, Brazil. mariana.boroni@inca.gov.br.ORCID 0000-0003-3495-9917
Alessandra ZonariOneSkin Technologies, San Francisco, USA.
Carolina Reis de OliveiraOneSkin Technologies, San Francisco, USA.
Kallie AlkatibOneSkin Technologies, San Francisco, USA.
Edgar Andres Ochoa CruzOneSkin Technologies, San Francisco, USA.
Lear E BraceOneSkin Technologies, San Francisco, USA.
Juliana Lott de CarvalhoOneSkin Technologies, San Francisco, USA.
St. Marianna University School of Medicine · JPUniversidade de Brasília · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA methylation (DNAm) age constitutes a powerful tool to assess the molecular age and overall health status of biological samples. Recently, it has been shown that tissue-specific DNAm age predictors may present superior performance compared to the pan- or multi-tissue counterparts. The skin is the largest organ in the body and bears important roles, such as body temperature control, barrier function, and protection from external insults. As a consequence of the constant and intimate interaction between the skin and the environment, current DNAm estimators, routinely trained using internal tissues which are influenced by other stimuli, are mostly inadequate to accurately predict skin DNAm age.

resultsIn the present study, we developed a highly accurate skin-specific DNAm age predictor, using DNAm data obtained from 508 human skin samples. Based on the analysis of 2,266 CpG sites, we accurately calculated the DNAm age of cultured skin cells and human skin biopsies. Age estimation was sensitive to the biological age of the donor, cell passage, skin disease status, as well as treatment with senotherapeutic drugs.

conclusionsThis highly accurate skin-specific DNAm age predictor constitutes a holistic tool that will be of great use in the analysis of human skin health status/molecular aging, as well as in the analysis of the potential of established and novel compounds to alter DNAm age.

Indexed as

AdultAgedAged, 80 and overAgingAlgorithmsCpG IslandsDNA MethylationEpigenomeEpigenomicsFemaleFibroblastsHealth StatusHealthy AgingHumansMachine LearningMaleAgingDNAm age algorithmDNA methylationEpigeneticsFibroblastsMolecular clockSkin aging

Identifiers

PMID32660606
PMCPMC7359467
OpenAlexW3040912464

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.