ReviewFrontiers in aging neuroscience2025
Copper homeostasis and cuproptosis: implications for neurodegenerative diseases.
Review in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Carbonaceous materials derived from corn cob wasteRSC advances · 2026Article
- Copper, cuproptosis, and cancer: biology concepts of a novel cell death.Apoptosis : an international journal on programmed cell death · 2026Review
- Metabolic cell death: ferroptosis, cuproptosis, and disulfidptosis as a unified framework for targeting metabolic vulnerabilities in disease.Apoptosis : an international journal on programmed cell death · 2026Review
- Mycosorption of copper by Aspergillus terreus SJP02: process optimization and underlying mechanism.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026Article
- Metal ions in aging and ocular diseases: biology, pathophysiology, and therapeutic strategies.npj aging · 2026Review
- Metabolic cell death networks in Alzheimer's disease: mechanistic links and therapeutic perspectives of ferroptosis, cuproptosis, and disulfidptosis.Frontiers in cell and developmental biology · 2026Review
- Redox Network Dysfunction: Integrating Ferroptosis and Cuproptosis Across Human Diseases.Antioxidants (Basel, Switzerland) · 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Copper (Cu) is a vital trace element required for sustaining life and is involved in numerous critical metabolic processes within the body. Cuproptosis, a newly recognized type of Cu-dependent cell death, is mechanistically distinct from apoptosis, autophagy, pyroptosis, and ferroptosis. It is characterized by abnormal Cu accumulation and aberrant interactions with key enzymes of the tricarboxylic acid (TCA) cycle, which lead to protein aggregation, loss of iron-sulfur cluster proteins, and proteotoxic stress, ultimately leading to cell death. Recent studies have revealed that Cu dyshomeostasis and cuproptosis are intricately linked to the pathological progression of several neurodegenerative diseases, including Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), Huntington's disease (HD), Wilson's disease (WD), and Menkes disease (MD). In this review, we systematically elucidate the systemic Cu metabolism, the molecular mechanisms of cuproptosis, and its intricate interplay with different neurodegenerative disorders. We also examined the relationship between cuproptosis and other types of cell death. Finally, we discuss therapeutic strategies targeting cuproptosis and Cu dyshomeostasis to combat neurodegenerative diseases and propose potential directions for future research.
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.