ReviewMolecular medicine reports2025
PARP‑1 in liver diseases: Molecular mechanisms, therapeutic potential and emerging clinical applications (Review).
Review in Molecular medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Molecular and Regenerative Effects of Platelet-Rich Plasma and Related Hemocomponents in Animal Models of Liver Injury-A Systematic Review.International journal of molecular sciences · 2026Pooled it
- Liv-52 Attenuates Erlotinib-Induced Liver Injury via Modulation of Oxidative Stress, Inflammation, and Apoptosis in Rats.International journal of molecular sciences · 2026Article
- Decrypting potential mechanisms linking ochratoxin A to hepatocellular carcinoma: an integrated approach combining toxicology, machine learning, molecular docking, and molecular dynamics simulation.BMC pharmacology & toxicology · 2026Article
- Mapping the global clinical landscape of NK cell therapies for solid tumors: an analysis based on the ClinicalTrials.gov for the 2005-2024 period.Journal of cancer research and clinical oncology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The liver, despite its capacity for self‑repair, faces major challenges when excessive damage leads to fibrosis and impaired function, potentially progressing to severe liver diseases, including cirrhosis, hepatocellular carcinoma (HCC) and non‑alcoholic fatty liver disease (NAFLD). Although advancements in understanding the molecular landscapes of these conditions have been made, clinical outcomes remain suboptimal. Therefore, novel therapeutic targets are necessary. Poly(ADP‑ribose) polymerase‑1 (PARP‑1), a pivotal enzyme in DNA damage response and repair, has emerged as a critical contributor to liver pathophysiology. The present review explores the expression, regulation and mechanism of action of PARP‑1 in various liver diseases, including viral hepatitis, alcoholic liver disease, NAFLD, hepatic fibrosis, HCC, drug‑induced liver injury and autoimmune liver diseases. The involvement of PARP‑1 in key cellular signaling pathways, particularly those associated with inflammation, apoptosis and immune regulation, highlights its clinical relevance as a biomarker and therapeutic target. The potential of PARP inhibitors to improve outcomes in patients with liver disease is discussed, both as stand‑alone treatments and in combination with modalities such as immune checkpoint inhibitors and DNA damage repair inhibitors. Leveraging recent advancements in PARP imaging and rare genetic biomarker research, this review underscores the potential of PARP‑1‑based diagnostics and therapies while advocating for future studies to overcome resistance mechanisms and expand therapeutic applications.
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.