Evidence map›Paper›PMID 31947651›Full record

ArticleCells2020

Methylglyoxal-Dependent Glycative Stress and Deregulation of SIRT1 Functional Network in the Ovary of PCOS Mice.

Giovanna Di Emidio, Martina Placidi, Francesco Rea, Giulia Rossi, Stefano Falone, Loredana Cristiano, Stefania Nottola, Anna Maria D'Alessandro, Fernanda Amicarelli, Maria Grazia Palmerini and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
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  8. Sirtuins, redox, and metabolic pathways in the brain of female PCOS mice.Journal of assisted reproduction and genetics · 2025
    Article
  9. Review
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  11. Review
  12. Review
  13. Article
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  19. Article
  20. The sirtuin family in health and disease.Signal transduction and targeted therapy · 2022
    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

11 authors at 1 institution in 1 country.

Giovanna Di EmidioDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Martina PlacidiDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Francesco ReaDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Giulia RossiDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Stefano FaloneDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Loredana CristianoDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Stefania NottolaDepartment of Anatomy, Histology, Forensic Medicine and Orthopaedics, 00161 Roma, Italy.
Anna Maria D'AlessandroDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Fernanda AmicarelliDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Maria Grazia PalmeriniDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
Carla TatoneDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.
University of L'Aquila · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced glycation end-products (AGEs) are involved in the pathogenesis and consequences of polycystic ovary syndrome (PCOS), a complex metabolic disorder associated with female infertility. The most powerful AGE precursor is methylglyoxal (MG), a byproduct of glycolysis, that is detoxified by the glyoxalase system. By using a PCOS mouse model induced by administration of dehydroepiandrosterone (DHEA), we investigated whether MG-dependent glycative stress contributes to ovarian PCOS phenotype and explored changes in the Sirtuin 1 (SIRT1) functional network regulating mitochondrial functions and cell survival. In addition to anovulation and reduced oocyte quality, DHEA ovaries revealed altered collagen deposition, increased vascularization, lipid droplets accumulation and altered steroidogenesis. Here we observed increased intraovarian MG-AGE levels in association with enhanced expression of receptor for AGEs (RAGEs) and deregulation of the glyoxalase system, hallmarks of glycative stress. Moreover, DHEA mice exhibited enhanced ovarian expression of SIRT1 along with increased protein levels of SIRT3 and superoxide dismutase 2 (SOD2), and decreased peroxisome proliferator-activated receptor gamma co-activator 1 alpha (PGC1α), mitochondrial transcriptional factor A (mtTFA) and translocase of outer mitochondrial membrane 20 (TOMM20). Finally, the presence of autophagy protein markers and increased AMP-activated protein kinase (AMPK) suggested the involvement of SIRT1/AMPK axis in autophagy activation. Overall, present findings demonstrate that MG-dependent glycative stress is involved in ovarian dysfunctions associated to PCOS and support the hypothesis of a SIRT1-dependent adaptive response.

Indexed as

AnimalsDehydroepiandrosteroneDisease Models, AnimalFemaleGlycation End Products, AdvancedGlycosylationMiceOvaryPolycystic Ovary SyndromePyruvaldehydeSirtuin 1DehydroepiandrosteroneGlycation End Products, AdvancedPyruvaldehydeSirt1 protein, mouseSirtuin 1advanced glycation end-productsglycative stressglyoxalasesmethylglyoxalmitochondriaoocyte qualityoxidative stressPCOSSIRT1SIRT3

Identifiers

PMID31947651
PMCPMC7017084
OpenAlexW2999538052

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.