Evidence map›Paper›PMID 39446790›Full record

ArticleTissue engineering. Part A2025

Dual Role of Ibuprofen and Indomethacin in Promoting Peripheral Nerve Regeneration

Jarin Tusnim, Bryan J Pfister, Jonathan M Grasman

Abstract read
In one paragraph

Article in Tissue engineering. Part A, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Jarin TusnimDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA.
Bryan J PfisterDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA.
Jonathan M GrasmanDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA.ORCID 0000-0001-8289-9627

Funding

Institutional Career Development CoreKL2TR003018 · NCATS · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI CHAN, JOHN R., HALM, ETHAN A · 2019 to 2023
$3.0M
Acellular composite hydrogel scaffolds for volumetric muscle regenerationR21AR079708 · NIAMS · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI GRASMAN, JONATHAN M., KUMAR, VIVEK · 2022 to 2023
$467k
NCATS NIH HHS KL2 TR003018NIAMS NIH HHS R21 AR079708
6 · The paper itself

Abstract

Peripheral nerve injuries (PNI) can result in significant losses of motor and sensory function. Although peripheral nerves have an innate capacity for regeneration, restoration of function after severe injury remains suboptimal. The gold standard for peripheral nerve regeneration (PNR) is autologous nerve transplantation, but this method is limited by the generation of an additional surgical site, donor-site morbidity, and neuroma formation at the site of harvest. Although targeted drug compounds have the potential to influence axonal growth, there are no drugs currently approved to treat PNI. Therefore, we propose to repurpose commonly used nonsteroidal anti-inflammatory drugs (NSAIDs) to enhance PNR, facilitating easier clinical translation. Additionally, calcium signaling plays a crucial role in neuronal connectivity and regeneration, but how specific drugs modulate this process remains unclear. We developed an

Indexed as

IbuprofenIndomethacinNerve RegenerationPeripheral NervesAnimalsAnti-Inflammatory Agents, Non-SteroidalAxonsCalcium SignalingPeripheral Nerve InjuriesRatsRats, Sprague-DawleyAnti-Inflammatory Agents, Non-SteroidalIbuprofenIndomethacincalcium signalingdrug screeningin vitro platformnonsteroidal anti-inflammatory drugsperipheral nerve regeneration

Identifiers

PMID39446790
PMCPMC13211147

What OpenQuestion holds

Textmetadata
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.