Evidence map›Paper›PMID 41799074›Full record

ArticleACS omega2026

Curcumin-Loaded HA-Based Nerve Guidance Conduit with PLA Microfibers-Filled Lumen Enhances Schwann Cell Proliferation and Alignment.

Sandra Fuster-Gómez, Arantxa Martínez-Férriz, Francisco Navarro-Páez, Manuel Monleón Pradas

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Sandra Fuster-GómezCenter for Biomaterials and Tissue Engineering, Universitat Politècnica De València, C. de Vera s/n, Valencia 46022, Spain.ORCID https://orcid.org/0000-0001-5788-3981
Arantxa Martínez-FérrizCenter for Biomaterials and Tissue Engineering, Universitat Politècnica De València, C. de Vera s/n, Valencia 46022, Spain.
Francisco Navarro-PáezCenter for Biomaterials and Tissue Engineering, Universitat Politècnica De València, C. de Vera s/n, Valencia 46022, Spain.ORCID https://orcid.org/0000-0002-4383-3681
Manuel Monleón PradasCenter for Biomaterials and Tissue Engineering, Universitat Politècnica De València, C. de Vera s/n, Valencia 46022, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peripheral nerve injuries (PNIs) represent a significant health challenge for society, as they can result in lifelong disabilities. Despite the rapid advancement of tissue engineering technology, the regeneration of peripheral nerves through nerve guidance conduits (NGCs) remains less favorable than the gold standard treatment, nerve autografts. Consequently, improving the effectiveness of NGCs is essential. The objective of this study was to develop a more effective nerve guidance conduit. To achieve this, hyaluronic acid tubular scaffolds were loaded with curcumin, which has been shown to promote peripheral nerve regeneration, and filled with polylactic acid microfibers to encourage directed growth. A physicochemical characterization of this novel NGC was performed to ensure a thorough understanding of its structural features and performance characteristics. The impact of curcumin and PLA microfibers on Schwann cells, a crucial player in nerve regeneration, was evaluated. The sustained release of curcumin from the hyaluronic hydrogel was observed to enhance the proliferation of Schwann cells, which aligned themselves in a parallel fashion with the PLA microfibers. The proliferation and alignment of these cells within the NGC provides an optimal environment for the regeneration of nerves.

Identifiers

PMID41799074
PMCPMC12961506

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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.