Evidence map›Paper›PMID 40775422›Full record

ArticleScientific reports2025

Sex-based differences in cell migration on aligned topographies.

Yang Hu, Yin Mei Chan, Nicola G Judge, Matthew L Becker, Rebecca K Willits

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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. 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

5 authors.

Yang HuDepartment of Chemical Engineering, Northeastern University, Boston, MA, 02115, USA.
Yin Mei ChanDepartment of Chemistry, Duke University, Durham, NC, 27708, USA.
Nicola G JudgeDepartment of Chemistry, Duke University, Durham, NC, 27708, USA.
Matthew L BeckerDepartment of Chemistry, Duke University, Durham, NC, 27708, USA. matthew.l.becker@duke.edu.ORCID http://orcid.org/0000-0003-4089-6916
Rebecca K WillitsDepartment of Chemical Engineering, Northeastern University, Boston, MA, 02115, USA. r.willits@northeastern.edu.ORCID http://orcid.org/0000-0002-1866-6789

Funding

Synergistic Enhancement of Peripheral Nerve Defect Repair using Peptide Functionalized Aligned Nanofiber ConduitsR01NS124889 · NINDS · DUKE UNIVERSITY · PI Matthew L Becker · 2022 to 2026
$2.3M
NIH HHS NINDS 1R01-NS124889-01A1NINDS NIH HHS R01 NS124889
6 · The paper itself

Abstract

Sexual dimorphism has been observed in many physiological and pathological responses, yet few studies incorporate both female and male experimental groups for preclinical work. For the development of biomaterial devices, in vitro studies are essential for design and optimization, and quantitative comparison of female and male cell migratory behavior is a crucial design consideration. In this work, we thoroughly examined sex-based migration on flat controls and aligned nanofiber scaffolds of various diameters using anomalous and random walk models. Male and female cells exhibited significantly different migration on flat substrates, with female cells having increased speed while male cells had higher persistence. Persistence increased with the introduction of aligned fiber topography for female cells, but only affected male cells on the highest fiber diameter. Speed along the axis of alignment differed between sexes on 1.2 and 1.8 µm fibers. Morphological analysis confirmed cell shape was a function of both sex and fiber size. These results provided critical information regarding sex-based cell migration, highlighting the importance of sex within in vitro studies for clinical device design.

Indexed as

Cell MovementSex CharacteristicsAnimalsFemaleHumansMaleNanofibersTissue ScaffoldsCell migrationNanofibersSchwann cellsSex-based differences

Identifiers

PMID40775422
PMCPMC12331958

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.