Evidence map›Paper›PMID 37006625›Full record

ReviewFrontiers in molecular biosciences2023

Histone deacetylase functions and therapeutic implications for adult skeletal muscle metabolism.

Susanna Molinari, Carol Imbriano, Viviana Moresi, Alessandra Renzini, Silvia Belluti, Biliana Lozanoska-Ochser, Giuseppe Gigli, Alessia Cedola

Erratum issuedOpen access · goldFull text readReview
In one paragraph

Review in Frontiers in molecular biosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Susanna MolinariDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Carol ImbrianoDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Viviana MoresiInstitute of Nanotechnology, Department of Physics, National Research Council (CNR-NANOTEC), Sapienza University of Rome, Rome, Italy.
Alessandra RenziniDAHFMO Unit of Histology and Medical Embryology, Sapienza University of Rome, Rome, Italy.
Silvia BellutiDAHFMO Unit of Histology and Medical Embryology, Sapienza University of Rome, Rome, Italy.
Biliana Lozanoska-OchserDepartment of Medicine and Surgery, LUM University, Casamassima, Italy.
Giuseppe GigliInstitute of Nanotechnology, National Research Council (CNR-NANOTEC), Lecce, Italy.
Alessia CedolaDepartment of Life Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Sapienza University of Rome · ITUniversity of Modena and Reggio Emilia · ITIstituto di Nanotecnologia · ITLibera Università Maria SS. Assunta · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle is a highly adaptive organ that sustains continuous metabolic changes in response to different functional demands. Healthy skeletal muscle can adjust fuel utilization to the intensity of muscle activity, the availability of nutrients and the intrinsic characteristics of muscle fibers. This property is defined as metabolic flexibility. Importantly, impaired metabolic flexibility has been associated with, and likely contributes to the onset and progression of numerous pathologies, including sarcopenia and type 2 diabetes. Numerous studies involving genetic and pharmacological manipulations of histone deacetylases (HDACs)

Indexed as

fatty acid oxidationglucose uptakeHDACsmetabolic flexibilityneurogenic muscle atrophysarcopeniasirtuinstype 2 diabetes

Identifiers

PMID37006625
PMCPMC10050567
OpenAlexW4324376993

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read17
measurements read6
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.