ReviewAging and disease2017
The Effect of Traditional Chinese Medicine on Neural Stem Cell Proliferation and Differentiation.
Review in Aging and disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Tai Chi exercise and neuroplasticity: a narrative review according to neural mechanisms and clinical utilizations in brain health.Frontiers in neuroscience · 2026Review
- Chinese medicine boosts regenerative medicine in stem cell - based therapy.Stem cell research & therapy · 2025Review
- Potential Effects of Traditional Chinese Medicine in Anti-Aging and Aging-Related Diseases: Current Evidence and Perspectives.Clinical interventions in aging · 2024Review
- Therapeutic Potential of Chinese Medicine for Endogenous Neurogenesis: A Promising Candidate for Stroke Treatment.Pharmaceuticals (Basel, Switzerland) · 2023Review
- The potential of plant extracts in cell therapy.Stem cell research & therapy · 2022Review
- Gut brain interaction theory reveals gut microbiota mediated neurogenesis and traditional Chinese medicine research strategies.Frontiers in cellular and infection microbiology · 2022Review
- Therapeutic potential of natural compounds from Chinese medicine in acute and subacute phases of ischemic stroke.Neural regeneration research · 2020Review
- Herb-Derived Products: Natural Tools to Delay and Counteract Stem Cell Senescence.Stem cells international · 2020Review
- Plastrum Testudinis Extracts Promote NSC Differentiation into Dopaminergic Neuron by Regulating the Interaction of TET1 and FoxA2.Evidence-based complementary and alternative medicine : eCAM · 2020Article
- AMPK Signaling Regulates the Age-Related Decline of Hippocampal Neurogenesis.Aging and disease · 2019Article
- Effects ofNeural regeneration research · 2019Article
- Article
- Rosenroot (Aging and disease · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neural stem cells (NSCs) are special types of cells with the potential for self-renewal and multi-directional differentiation. NSCs are regulated by multiple pathways and pathway related transcription factors during the process of proliferation and differentiation. Numerous studies have shown that the compound medicinal preparations, single herbs, and herb extracts in traditional Chinese medicine (TCM) have specific roles in regulating the proliferation and differentiation of NSCs. In this study, we investigate the markers of NSCs in various stages of differentiation, the related pathways regulating the proliferation and differentiation, and the corresponding transcription factors in the pathways. We also review the influence of TCM on NSC proliferation and differentiation, to facilitate the development of TCM in neural regeneration and neurodegenerative diseases.
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.