ReviewWorld journal of stem cells2025
Stem cell therapy for intervertebral disc degeneration: Clinical progress with exosomes and gene vectors.
Review in World journal of stem cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Microfragmented Adipose Tissue in Pain Management: Bridging Regenerative Biology and Clinical Therapeutics.Pain and therapy · 2026Review
- Influence of the Intervertebral Disc Microenvironment on Matrix Synthesis and Metabolism in Goat Nucleus Pulposus Cells.JOR spine · 2026Article
- Diabetes-Related Metabolic Osteoarthritis: Advanced Glycation-Collagen Axis, Cartilage Stiffening, and Biomaterials-Based Therapeutic Strategies.International journal of nanomedicine · 2026Review
- Integrating cells, scaffolds, and molecular regulation: a mechanobiological and translational review of bioengineering therapies for intervertebral disc degeneration.Frontiers in bioengineering and biotechnology · 2026Review
- Mesenchymal stem cell and exosome-based therapies for degenerative disc disease: from mechanisms to clinical translation.Frontiers in cell and developmental biology · 2026Review
- The Biomechanical Landscape of Lumbar Disc Herniation: Mechanobiological Insights Into Injury and Regeneration.Neurospine · 2026Review
- A multifaceted strategy for intra- and extracellular nucleic acid regulation to alleviate intervertebral disc degeneration.Nature communications · 2025Article
- Stem cell-based strategies for intervertebral disc regeneration in degenerative microenvironments: challenges and solutions.Frontiers in cell and developmental biology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intervertebral disc degeneration is a leading cause of lower back pain and is characterized by pathological processes such as nucleus pulposus cell apoptosis, extracellular matrix imbalance, and annulus fibrosus rupture. These pathological changes result in disc height loss and functional decline, potentially leading to disc herniation. This comprehensive review aimed to address the current challenges in intervertebral disc degeneration treatment by evaluating the regenerative potential of stem cell-based therapies, with a particular focus on emerging technologies such as exosomes and gene vector systems. Through mechanisms such as differentiation, paracrine effects, and immunomodulation, stem cells facilitate extracellular matrix repair and reduce nucleus pulposus cell apoptosis. Despite recent advancements, clinical applications are hindered by challenges such as hypoxic disc environments and immune rejection. By analyzing recent preclinical and clinical findings, this review provided insights into optimizing stem cell therapy to overcome these obstacles and highlighted future directions in the field.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.