Evidence map›Paper›PMID 39543093›Full record

ArticleCell death & disease2024

p63 affects distinct metabolic pathways during keratinocyte senescence, evaluated by metabolomic profile and gene expression analysis.

Maria Cristina Piro, Rosalba Pecorari, Artem Smirnov, Angela Cappello, Erica Foffi, Anna Maria Lena, Yufang Shi, Gerry Melino, Eleonora Candi

Abstract read
In one paragraph

Article in Cell death & disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

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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

9 authors.

Maria Cristina PiroDepartment of Experimental Medicine, TOR, University of Rome "Tor Vergata", Rome, Italy.
Rosalba PecorariIDI-IRCCS, Rome, Italy.ORCID 0000-0002-9575-6964
Artem SmirnovDepartment of Experimental Medicine, TOR, University of Rome "Tor Vergata", Rome, Italy.ORCID 0000-0002-1575-8725
Angela CappelloDepartment of Experimental Medicine, TOR, University of Rome "Tor Vergata", Rome, Italy.ORCID 0000-0003-0893-445X
Erica FoffiDepartment of Experimental Medicine, TOR, University of Rome "Tor Vergata", Rome, Italy.ORCID 0000-0002-6703-4884
Anna Maria LenaDepartment of Experimental Medicine, TOR, University of Rome "Tor Vergata", Rome, Italy.ORCID 0000-0001-6285-9927
Yufang ShiThe Fourth Affiliated Hospital of Soochow University, Institutes for Translational Medicine, State Key Laboratory of Radiation Medicine and Protection, Key Laboratory of Stem Cells and Medical Biomaterials of Jiangsu Province, Medical College of Soochow University, Soochow University, Suzhou, China.ORCID 0000-0001-9716-2126
Gerry MelinoDepartment of Experimental Medicine, TOR, University of Rome "Tor Vergata", Rome, Italy.ORCID 0000-0001-9428-5972
Eleonora CandiDepartment of Experimental Medicine, TOR, University of Rome "Tor Vergata", Rome, Italy. candi@uniroma2.it.ORCID 0000-0001-8332-4825

Funding

Associazione Italiana per la Ricerca sul Cancro (Italian Association for Cancer Research) IG 2019 - ID 22206; 2019-2023Ministero della Salute (Ministry of Health, Italy) PNC-E3-2022-23683266Ministry of Health, Italy | Agenzia Italiana del Farmaco, Ministero della Salute (Italian Medicines Agency) PNC-E3-2022-23683266
6 · The paper itself

Abstract

Unraveling the molecular nature of skin aging and keratinocyte senescence represents a challenging research project in epithelial biology. In this regard, depletion of p63, a p53 family transcription factor prominently expressed in human and mouse epidermis, accelerates both aging and the onset of senescence markers in vivo animal models as well as in ex vivo keratinocytes. Nonetheless, the biochemical link between p63 action and senescence phenotype remains largely unexplored. In the present study, through ultrahigh performance liquid chromatography-tandem mass spectroscopy (UPLC-MS/MS) and gas chromatography/mass spectrometry (GC/MS) metabolomic analysis, we uncover interesting pathways linking replicative senescence to metabolic alterations during p63 silencing in human keratinocytes. Integration of our metabolomic profiling data with targeted transcriptomic investigation empowered us to demonstrate that absence of p63 and senescence share similar modulation profiles of oxidative stress markers, pentose phosphate pathway metabolites and lyso-glycerophospholipids, the latter due to enhanced phospholipases gene expression profile often under p63 direct/indirect gene control. Additional biochemical features identified in deranged keratinocytes include a relevant increase in lipids production, glucose and pyruvate levels as confirmed by upregulation of gene expression of key lipid synthesis and glycolytic enzymes, which, together with improved vitamins uptake, characterize senescence phenotype. Silencing of p63 in keratinocytes instead, translates into a blunted flux of metabolites through both glycolysis and the Krebs cycle, likely due to a p63-dependent reduction of hexokinase 2 and citrate synthase gene expression. Our findings highlight the potential role of p63 in counteracting keratinocyte senescence also through fine regulation of metabolite levels and relevant biochemical pathways. We believe that our research might contribute significantly to the discovery of new implications of p63 in keratinocyte senescence and related diseases.

Indexed as

Cellular SenescenceKeratinocytesAnimalsGene Expression ProfilingHumansMetabolic Networks and PathwaysMetabolomeMetabolomicsMiceOxidative StressTranscription FactorsTumor Suppressor ProteinsTP63 protein, humanTranscription FactorsTumor Suppressor Proteins

Identifiers

PMID39543093
PMCPMC11564703

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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.