ReviewFrontiers in pharmacology2024
Advances in the study of key cells and signaling pathways in renal fibrosis and the interventional role of Chinese medicines.
Review in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Gentiopicroside inhibits HMGCR/NF-κB pathway to alleviate renal fibrosis.BMC complementary medicine and therapies · 2026Article
- Gut-Kidney Axis: Unraveling the Role of the Microbiome in Chronic Kidney Disease.Biomedicines · 2026Review
- Breaking tolerance in the glomerulus: complement as a driver and therapeutic target in IgA nephropathy.Frontiers in medicine · 2026Review
- From a Shared Stress to Cell-Type-Specific Responses: The Heterogeneous Mechanisms of High Glucose-Induced Cellular Senescence in Diabetic Kidney Disease.Journal of diabetes research · 2026Review
- Mechanisms of Macrophage Glycolytic Reprogramming and Interventional Effects of Traditional Chinese Medicine on Renal Fibrosis.International journal of general medicine · 2026Review
- Targeting NOTCH1-KEAP1 axis retards chronic liver injury and liver cancer progression via regulating stabilization of NRF2.Journal of experimental & clinical cancer research : CR · 2025Article
- Molecular mechanisms and therapeutic interventions in acute kidney injury: a literature review.BMC nephrology · 2025Review
- Multifunctional Applications of Extracellular Nanovesicles for Acute Kidney Injury and Renal Fibrosis; a Mini Review.International journal of nanomedicine · 2025Review
- Traditional Chinese Medicine targeting the TGF-β/Smad signaling pathway as a potential therapeutic strategy for renal fibrosis.Frontiers in pharmacology · 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Renal fibrosis (RF) is a pathological process characterized by the excessive accumulation of extracellular matrix (ECM), which triggers a repair cascade in response to stimuli and pathogenic factors, leading to the activation of molecular signaling pathways involved in fibrosis. This article discusses the key cells, molecules, and signaling pathways implicated in the pathogenesis of RF, with a particular focus on tubular epithelial cells (TECs), cellular senescence, ferroptosis, autophagy, epithelial-mesenchymal transition (EMT), and transforming growth factor-β(TGF-β)/Smad signaling. These factors drive the core and regulatory pathways that significantly influence RF. A comprehensive understanding of their roles is essential. Through a literature review, we explore recent advancements in traditional Chinese medicine (TCM) aimed at reducing RF and inhibiting chronic kidney disease (CKD). We summarize, analyze, and elaborate on the important role of Chinese herbs in RF, aiming to provide new directions for their application in prevention and treatment, as well as scientific guidance for clinical practices.
Indexed as
Identifiers
What Socratic 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 Socratic graph.