Evidence map›Paper›PMID 40124089›Full record

ArticleOpenNano2025

Osteogenic differentiation of mesenchymal stem cells in cell-laden culture of self-assembling peptide hydrogels.

Faye Fouladgar, Robert Powell, Vishalakshi Irukuvarjula, Akhila Joy, Xiao Li, Neda Habibi

Abstract read
In one paragraph

Article in OpenNano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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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

6 authors.

Faye FouladgarDepartment of Biomedical Engineering, University of North Texas, TX, USA.
Robert PowellDepartment of Biomedical Engineering, University of North Texas, TX, USA.
Vishalakshi IrukuvarjulaDepartment of Biomedical Engineering, University of North Texas, TX, USA.
Akhila JoyDepartment of Material Science & Engineering, University of North Texas, TX, USA.
Xiao LiDepartment of Material Science & Engineering, University of North Texas, TX, USA.
Neda HabibiDepartment of Biomedical Engineering, University of North Texas, TX, USA.

Funding

New approach based on enzyme stimulating of peptides for targeting drug resistance breast cancersR16GM150848 · NIGMS · UNIVERSITY OF NORTH TEXAS · PI HABIBI, NEDA · 2023 to 2025
$645k
NIGMS NIH HHS R16 GM150848
6 · The paper itself

Abstract

Mesenchymal stem cell (MSC) osteogenic differentiation requires scaffolds to support multiple stages of growth and differentiation signals. Fluorenyl-9-methoxycarbonyl diphenylalanine (Fmoc-FF) peptides self-assemble to create 3D nanofibers. Here, we cultured MSC in 2D and 3D Fmoc-FF layers to support their osteogenic differentiation. The stiffness of the hydrogels was tunable between 100 and 10,000 Pa which allows precise modulation of the cellular microenvironment. Scaffold stiffness impacted cell viability which softer scaffolds (100 Pa) favored higher viability. MSC formed spheroids in 3D hydrogel and showed spread morphology in 2D overlayers. Our results demonstrate that the Fmoc-FF 3D cultures significantly enhanced osteogenic differentiation, as evidenced by increased calcium deposition, elevated phosphatase activity, and the secretion of osteocalcin. We propose that the peptides provide integrin-binding sites that activate a cytoplasmic feedback loop essential for differentiation. These findings suggest that self-assembled Fmoc-FF peptide hydrogels, is a promising platform for bone tissue engineering applications.

Indexed as

Fmoc-FF peptide hydrogelHuman mesenchymal stem cells (hMSCs)Osteogenic Differentiation

Identifiers

PMID40124089
PMCPMC11928154

What OpenQuestion 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 OpenQuestion graph.