ReviewAging2023
Traditional herbs: mechanisms to combat cellular senescence.
Review in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled 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.
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
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Targeting cellular senescence with Traditional Chinese Medicine: advances in neurodegenerative disorder treatment.Frontiers in neurology · 2026Pooled it
- Natural products targeting cytokine-regulated SASP inflammation networks in Ovarian cancer: Implications on immune escape and molecular resistance.Inflammopharmacology · 2026Review
- Review
- Synergistic Effects of Plant Polysaccharides and Probiotics: A Novel Dietary Approach for Parkinson's Disease Intervention.Pharmaceuticals (Basel, Switzerland) · 2026Review
- The ethnicity and gut microbiota hypothesis: analyzing multifactorial interactions and their health implications.Frontiers in microbiology · 2026Review
- Argan Callus Extract Restores Skin Cells via AMPK-Dependent Regulation of Energy Metabolism, Autophagy, and Inflammatory Pathways.Antioxidants (Basel, Switzerland) · 2025Article
- Utilization of natural products in diverse pathogeneses of diseases associated with single or double DNA strand damage repair.Chinese medicine · 2025Review
- The Role of Renal Cell Senescence in Diabetic Kidney Disease: Mechanisms and Therapeutic Advances.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Review
- Targeting telomere dynamics with plant-derived compounds: Molecular strategies against aging.Current research in pharmacology and drug discovery · 2025Review
- SuoquanYishen formula improves renal cellular senescence by inhibiting YTHDF1-Rubicon axis to promote autophagy in diabetic kidney disease.Frontiers in pharmacology · 2025Article
- Plant-Derived Senotherapeutics for the Prevention and Treatment of Intervertebral Disc Degeneration and Aging.Metabolites · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular senescence plays a very important role in the ageing of organisms and age-related diseases that increase with age, a process that involves physiological, structural, biochemical and molecular changes in cells. In recent years, it has been found that the active ingredients of herbs and their natural products can prevent and control cellular senescence by affecting telomerase activity, oxidative stress response, autophagy, mitochondrial disorders, DNA damage, inflammatory response, metabolism, intestinal flora, and other factors. In this paper, we review the research information on the prevention and control of cellular senescence in Chinese herbal medicine through computer searches of PubMed, Web of Science, Science Direct and CNKI databases.
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.