Evidence map›Paper›PMID 38702328›Full record

ArticleScientific data2024

Intra-Individual Paired Mass Spectrometry Dataset for Decoding Solar-Induced Proteomic Changes in Facial Skin.

Amanda C Camillo-Andrade, Marlon D M Santos, Patrícia S Nuevo, Ana B L Lajas, Lucas A Sales, Alejandro Leyva, Juliana S G Fischer, Rosario Duran, Paulo C Carvalho

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. 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

9 authors.

Amanda C Camillo-AndradeLaboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Curitiba, Paraná, Brazil.ORCID 0000-0003-4642-3984
Marlon D M SantosLaboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Curitiba, Paraná, Brazil.
Patrícia S NuevoAsthetics and Cosmetics, Positivo University, Curitiba, Paraná, Brazil.
Ana B L LajasLaboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Curitiba, Paraná, Brazil.
Lucas A SalesLaboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Curitiba, Paraná, Brazil.
Alejandro LeyvaAnalytical Biochemistry and Proteomics Unit, Instituto de Investigaciones Biológicas Clemente Estable, Institut Pasteur de Montevideo, Montevideo, Uruguay.ORCID 0000-0001-6609-9515
Juliana S G FischerLaboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Curitiba, Paraná, Brazil.
Rosario DuranAnalytical Biochemistry and Proteomics Unit, Instituto de Investigaciones Biológicas Clemente Estable, Institut Pasteur de Montevideo, Montevideo, Uruguay. duran@pasteur.edu.uy.ORCID 0000-0002-8575-9651
Paulo C CarvalhoLaboratory for Structural and Computational Proteomics, Carlos Chagas Institute, Curitiba, Paraná, Brazil. paulo@pcarvalho.com.ORCID 0000-0001-6530-3350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoaging is the premature aging of the skin caused by prolonged exposure to solar radiation. The visual alterations manifest as wrinkles, reduced skin elasticity, uneven skin tone, as well as other signs that surpass the expected outcomes of natural aging. Beyond these surface changes, there is a complex interplay of molecular alterations, encompassing shifts in cellular function, DNA damage, and protein composition disruptions. This data descriptor introduces a unique dataset derived from ten individuals, each with a minimum of 18 years of professional experience as a driver, who are asymmetrically and chronically exposed to solar radiation due to their driving orientation. Skin samples were independently collected from each side of the face using a microdermabrasion-like procedure and analyzed on an Exploris 240 mass spectrometer. Our adapted proteomic statistical framework leverages the sample pairing to provide robust insights. This dataset delves into the molecular differences in exposed skin and serves as a foundational resource for interdisciplinary research in photodermatology, targeted skincare treatments, and computational modelling of skin health.

Indexed as

FaceMass SpectrometryProteomicsSkinSkin AgingHumansSunlight

Identifiers

PMID38702328
PMCPMC11068864

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.