Evidence map›Paper›PMID 39850977›Full record

ReviewNeurobiology of pain (Cambridge, Mass.)

The contribution of clock genes BMAL1 and PER2 in osteoarthritis-associated pain.

Erick J Rodríguez-Palma, Santiago Loya-Lopez, Kyle Allen, Yenisel Cruz-Almeida, Rajesh Khanna

Abstract readReview
In one paragraph

Review in Neurobiology of pain (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Erick J Rodríguez-PalmaDepartment of Pharmacology and Therapeutics, College of Medicine, University of Florida, Gainesville, FL, USA.
Santiago Loya-LopezDepartment of Pharmacology and Therapeutics, College of Medicine, University of Florida, Gainesville, FL, USA.
Kyle AllenJ. Crayton Pruitt Family Department of Biomedical Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL, USA.
Yenisel Cruz-AlmeidaPain Research & Intervention Center of Excellence (PRICE), University of Florida, Gainesville, FL, USA.
Rajesh KhannaDepartment of Pharmacology and Therapeutics, College of Medicine, University of Florida, Gainesville, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Joint pain is the primary symptom of osteoarthritis (OA) and the main motivator for patients to seek medical care. OA-related pain significantly restricts joint function and diminishes quality of life. Despite the availability of various pain-relieving medications for OA, current treatment strategies often fall short in delivering adequate pain relief. Furthermore, long-term use of pain medications for OA management is frequently linked with notable side effects and toxicities, suggesting the need to explore new potential targets to treat pain in OA patients. In this context, clock genes, particularly brain and muscle aryl hydrocarbon receptor nuclear translocator-like 1 (BMAL1) and period circadian protein homolog 2 (PER2), known for their role in circadian rhythms, represent promising opportunities for pharmacological interventions due to their involvement in both the development and maintenance of OA pain. While BMAL1 and PER2 have been extensively studied in neuropathic and inflammatory pain, their specific contributions to OA pain remain less clear, demanding further investigation. This narrative review aims to synthesize the relationship between OA pain and the BMAL1 and PER2 signaling pathways, ultimately exploring the potential therapeutic role of clock genes in addressing this challenging condition.

Indexed as

BMAL1Chronobiology of painClock genesOsteoarthritisPER2

Identifiers

PMID39850977
PMCPMC11754085

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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.