Evidence map›Paper›PMID 30939743›Full record

ReviewInternational journal of molecular sciences2019

Mechanism of Action for HDAC Inhibitors-Insights from Omics Approaches.

Wenbo Li, Zheng Sun

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 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

2 authors.

Wenbo LiDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA. wenbo.li@bcm.edu.
Zheng SunDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA. zheng.sun@bcm.edu.ORCID 0000-0002-6858-0633

Funding

Gender-Specific Effects of Arsenic in DiabetesR01ES027544 · NIEHS · BAYLOR COLLEGE OF MEDICINE · PI SUN, ZHENG · 2017 to 2021
$2.2M
Epigenomic Remodeling of Metabolism by Exercise through AP-1R01DK111436 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI SUN, ZHENG · 2017 to 2020
$2.0M
De facto Target of Histone Deacetylase InhibitorsR21CA215591 · NCI · BAYLOR COLLEGE OF MEDICINE · PI SUN, ZHENG · 2017 to 2018
$345k
American Heart Association AHA30970064National Cancer Institute CA215591National Institute of Diabetes and Digestive and Kidney Diseases DK111436National Institute of Environmental Health Sciences ES027544NCI NIH HHS R21 CA215591NIDDK NIH HHS R01 DK111436NIEHS NIH HHS R01 ES027544
6 · The paper itself

Abstract

Histone deacetylase inhibitors (HDIs) are a class of prominent epigenetic drugs that are currently being tested in hundreds of clinical trials against a variety of diseases. A few compounds have already been approved for treating lymphoma or myeloma. HDIs bind to the zinc-containing catalytic domain of the histone deacetylase (HDACs) and they repress the deacetylase enzymatic activity. The broad therapeutic effect of HDIs with seemingly low toxicity is somewhat puzzling when considering that most HDIs lack strict specificity toward any individual HDAC and, even if they do, each individual HDAC has diverse functions under different physiology scenarios. Here, we review recent mechanistic studies using omics approaches, including epigenomics, transcriptomics, proteomics, metabolomics, and chemoproteomics, methods. These omics studies provide non-biased insights into the mechanism of action for HDIs.

Indexed as

AnimalsEpigenesis, GeneticHistone Deacetylase InhibitorsHumansProteomeTranscriptomeHistone Deacetylase InhibitorsProteomecancer treatmentchemoproteomicsepigenomicshistone deacetylase inhibitors (HDIs)metabolomicsproteomicstranscriptomics

Identifiers

PMID30939743
PMCPMC6480157

What OpenQuestion holds

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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.