Evidence map›Paper›PMID 33921902›Full record

ReviewInternational journal of molecular sciences2021

DNA Methylation Signatures of Bone Metabolism in Osteoporosis and Osteoarthritis Aging-Related Diseases: An Updated Review.

Virginia Veronica Visconti, Ida Cariati, Simona Fittipaldi, Riccardo Iundusi, Elena Gasbarra, Umberto Tarantino, Annalisa Botta

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–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

35 citing papers in PubMed.

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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.

Virginia Veronica ViscontiDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Via Montpellier 1, 00133 Rome, Italy.ORCID 0000-0002-4543-7770
Ida CariatiDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Via Montpellier 1, 00133 Rome, Italy.ORCID 0000-0002-2102-5034
Simona FittipaldiDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Via Montpellier 1, 00133 Rome, Italy.ORCID 0000-0001-7578-395X
Riccardo IundusiDepartment of Orthopaedics and Traumatology, "Policlinico Tor Vergata" Foundation, Viale Oxford 81, 00133 Rome, Italy.
Elena GasbarraDepartment of Orthopaedics and Traumatology, "Policlinico Tor Vergata" Foundation, Viale Oxford 81, 00133 Rome, Italy.
Umberto TarantinoDepartment of Orthopaedics and Traumatology, "Policlinico Tor Vergata" Foundation, Viale Oxford 81, 00133 Rome, Italy.
Annalisa BottaDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Via Montpellier 1, 00133 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation is one of the most studied epigenetic mechanisms that play a pivotal role in regulating gene expression. The epigenetic component is strongly involved in aging-bone diseases, such as osteoporosis and osteoarthritis. Both are complex multi-factorial late-onset disorders that represent a globally widespread health problem, highlighting a crucial point of investigations in many scientific studies. In recent years, new findings on the role of DNA methylation in the pathogenesis of aging-bone diseases have emerged. The aim of this systematic review is to update knowledge in the field of DNA methylation associated with osteoporosis and osteoarthritis, focusing on the specific tissues involved in both pathological conditions.

Indexed as

DNA MethylationEpigenomicsHumansOsteoarthritisOsteoporosisaging-related diseasesbone metabolismDNA methylationepigeneticsosteoarthritisosteoporosis

Identifiers

PMID33921902
PMCPMC8072687

What OpenQuestion holds

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Registered trials

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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.