Evidence map›Paper›PMID 42671729›Full record

ReviewMolecular neurobiology2026

Developmental Extracellular Matrix as a Bioactive Niche for Spinal Cord Organoid Maturation and SCI Repair.

Atif Ali Khan Khalil, Sultan Mehtap Büyüker, Shafiq Ur Rahman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular neurobiology, 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

3 authors.

Atif Ali Khan KhalilDepartment of Biotechnology, Yeungnam University, Gyeongsan, 38541, Republic of Korea. atif.ali@yu.ac.kr.ORCID https://orcid.org/0000-0003-1450-5635
Sultan Mehtap BüyükerDepartment of Pharmaceutical Toxicology, School of Pharmacy, Istanbul Medipol University, Istanbul, Türkiye.
Shafiq Ur RahmanDepartment of Pharmacy, Shaheed Benazir Bhutto University, Sheringal, Dir, Khyber Pakhtunkhwa, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spinal cord injury (SCI) causes permanent sensorimotor deficits due to the inhibitory extracellular microenvironment that forms post-injury, hindering regeneration. The extracellular matrix (ECM) plays a critical role in neural development and repair, with the developmental spinal cord ECM being enriched in pro-regenerative molecules and containing relatively low levels of inhibitory components. In contrast, the ECM of the adult injured spinal cord is characterized by an abundance of growth-inhibitory molecules. Human pluripotent stem cell-derived spinal cord organoids have emerged as promising in vitro models for studying spinal cord development and disease; however, their application is limited by incomplete structural and functional maturation. The incorporation of developmental ECM components into organoid cultures has been shown to promote maturation, neuronal connectivity, and functional integration. This review provides a comprehensive overview of the regenerative properties of developmental spinal cord ECM and discusses its applications in organoid engineering and SCI repair, including decellularized ECM biomaterials, hydrogels, synthetic analogs, and combinatorial approaches. Collectively, developmental ECM-based strategies represent a promising platform for the development of precision regenerative therapies aimed at enhancing functional recovery after SCI.

Indexed as

Extracellular MatrixOrganoidsSpinal CordSpinal Cord InjuriesAnimalsHumansBiomaterialExtracellular matrixOrganoidRegenerationSCI

Identifiers

What Socratic 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 Socratic graph.