Integration of bulk/scRNA-seq and multiple machine learning algorithms identifies PIM1 as a biomarker associated with cuproptosis and ferroptosis in abdominal aortic aneurysm DOI Creative Commons

Zonglin Han,

LU Xiu-lian,

Yuxiang He

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 11, 2024

Background Abdominal aortic aneurysm (AAA) is a serious life-threatening vascular disease, and its ferroptosis/cuproptosis markers have not yet been characterized. This study was aiming to identify associated with in AAA by bioinformatics analysis combined machine learning models perform experimental validation. Methods used three scRNA-seq datasets from different mouse human PBMC bulk RNA-seq dataset. Candidate genes were identified integrated of scRNA-seq, cell communication analysis, monocle pseudo-time hdWGCNA analysis. Four algorithms, LASSO, REF, RF SVM, construct prediction model for the dataset, above results comprehensively analyzed, targets confirmed RT-qPCR. Results showed Mo/MF as most sensitive type AAA, 34 cuproptosis ferroptosis obtained. Pseudo-time series construction performed on these genes. Subsequent comparison that only PIM1 appeared all algorithms. RT-qPCR western blot consistent sequencing results, showing significantly upregulated AAA. Conclusion In conclusion, novel biomarker cuproptosis/ferroptosis highlighted.

Language: Английский

Advances in cuproptosis harnessing copper-based nanomaterials for cancer therapy DOI
Yuanying Yang, Chen Dong, Xuehua Ma

et al.

Journal of Materials Chemistry B, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

This review discusses the recent developments in copper-based nanomaterials that utilize copper-induced cell death, categorized by materials systems, while highlighting limitations of current cuproptosis related nanomaterials.

Language: Английский

Citations

2
Multi-target-directed therapeutic strategies for Alzheimer’s disease: controlling amyloid-β aggregation, metal ion homeostasis, and enzyme inhibition DOI Creative Commons

Jeasang Yoo,

Jimin Lee,

Byeongha Ahn

et al.

Chemical Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

This review highlights the potential of multi-target-directed strategies that address amyloid-β aggregation, metal ion dyshomeostasis, and enzyme dysfunction, offering a comprehensive effective approach to treating Alzheimer's disease.

Language: Английский

Citations

1
Cuproptosis Cell Death Molecular Events and Pathways to Liver Disease DOI Creative Commons
Yun Mao, Huilan Chen,

Weihan Zhu

et al.

Journal of Inflammation Research, Journal Year: 2025, Volume and Issue: Volume 18, P. 883 - 894

Published: Jan. 1, 2025

Chronic liver disease ranks as the 11th leading cause of death worldwide, while hepatocellular carcinoma (HCC) is fourth cancer-related mortality, representing a substantial risk to public health. Over past few decades, global landscape chronic diseases, including hepatitis, metabolic dysfunction-associated steatotic (MASLD), fibrosis, and HCC, has undergone changes. Copper, vital trace element for human health, predominantly regulated by liver. Both copper deficiency excess can lead cellular damage dysfunction. Copper deposition genetic process copper-dependent cell associated with mitochondrial respiration, which cardiovascular IBD. However, roles overload cuproptosis in remain largely underexplored. This article examines recent studies on metabolism disease, investigating potential targeting ions therapeutic approach. The objective offer insights guidance future investigations this developing field study.

Language: Английский

Citations

1
Competing endogenous RNAs (ceRNAs) and drug resistance to cancer therapy DOI Open Access
Kenneth K.W. To, Hang Zhang, William C. Cho

et al.

Cancer Drug Resistance, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 25, 2024

Competing endogenous RNAs (ceRNAs) are transcripts that possess highly similar microRNA response elements (MREs). microRNAs (miRNAs) short, endogenous, single-stranded non-coding (ncRNAs) can repress gene expression by binding to MREs on the 3’ untranslated regions (UTRs) of target mRNA suppress promoting degradation and/or inhibiting protein translation. transcripts, circular (circRNAs), long (lncRNAs), and transcribed pseudogenes could share MREs, they compete for same pool miRNAs. These ceRNAs may affect level one another competing their shared This interplay between different constitutes a ceRNA network, which regulates many important biological processes. Cancer drug resistance is major factor leading treatment failure in patients receiving chemotherapy. It be acquired through genetic, epigenetic, various tumor microenvironment mechanisms. The involvement crosstalk its disruption chemotherapy attracting attention cancer research community. review presents an updated summary latest dysregulation causing across types chemotherapeutic classes. Interestingly, accumulating evidence suggests used as prognostic biomarkers predict clinical Nevertheless, detailed experimental investigations putative networks generated computational algorithms needed support translation therapeutic applications.

Language: Английский

Citations

4
A diagnostic classifier for osteoarthritis constructed based on cuprotosis-related genes DOI Creative Commons
Xiaopeng Jia,

Chen Honglu,

Li An

et al.

Revista română de medicină de laborator, Journal Year: 2025, Volume and Issue: 33(1), P. 41 - 50

Published: Jan. 1, 2025

Abstract Background Osteoarthritis (OA), a common degenerative joint disease, is pathologically characterized by pain and functional limitation. Cuprotosis-related genes (CRGs) exert vital biological effects on various diseases, but their functions in OA remain largely unknown. We aimed to explore the potential role of CRGs establish diagnostic classifier. Methods The Gene Expression Omnibus database was firstly employed collect data sets several controls samples. Batch correction conducted using RobustRankAggreg sva package remove systematic errors between different batches sequencing. limma utilized screen differentially expressed genes, were identified through Pearson correlation analysis. Results A total 2,033 after analyzing sets. Through Least Absolute Shrinkage Selection Operator COX model support vector machine-recursive feature elimination classifier, 6 crucial finally determined, including biglycan, Ephrin-A3, leukemia inhibitory factor, natural killer cell granule protein 7, stimulator chondrogenesis 1 tumor necrosis alpha-induced 3. integrated analysis these revealed that they had high prediction performance. area under curve 0.772 training set 0.693 validation set. These exhibited significant correlations with infiltration M2 macrophages, resting mast cells other immune cells. Conclusions classifier for successfully constructed based CRGs, associations are found microenvironment OA.

Language: Английский

Citations

0
A cellular danse macabre: the choreography of programmed cell death DOI
Arjan W. Griffioen, Patrycja Nowak‐Sliwinska

APOPTOSIS, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 9, 2025

Language: Английский

Citations

0
Copper in melanoma: at the crossroad of protumorigenic and anticancer roles DOI Creative Commons

Natalia Chrzan,

Mariusz L. Hartman

Redox Biology, Journal Year: 2025, Volume and Issue: 81, P. 103552 - 103552

Published: Feb. 15, 2025

Language: Английский

Citations

0
Investigating cuproptosis and mitochondrial dysfunction in brain cells: uncovering novel mechanisms and biomarkers for Parkinson’s disease DOI

Q. Li,

Dongliang Li, Yinghong Li

et al.

Metabolic Brain Disease, Journal Year: 2025, Volume and Issue: 40(3)

Published: March 12, 2025

Language: Английский

Citations

0
Nanomaterial-based approaches to neurotoxin neutralization in neurodegenerative diseases DOI
Meng Cheng, Yan Dou

Nanomedicine, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 13

Published: April 3, 2025

Neurodegenerative diseases (NDs) are intricately linked to the accumulation of various neurotoxins, mainly including toxic proteins, inflammatory mediators, excess metal ions, and viral pathogens. Biological neutralization strategies that use agents competitively bind harmful substances thus inhibit their pathogenic activity hold promise for direct removal neurotoxins but face many limitations challenges in NDs. Nanomaterials provide a potential solution neurotoxin NDs due unique physicochemical biological properties. This review summarizes recent advancements nanomaterial-based approaches NDs, highlighting diverse design principles mechanisms action. We also discuss critical role targeted delivery optimize efficiency advantages combining different or introducing other therapeutic components exert synergistic effects. Furthermore, we reveal current future research directions aimed at paving way nanomedicine development based on treatment

Language: Английский

Citations

0
Molecular mechanisms of alcohol-associated liver disease-ferroptosis and autophagy crosstalk DOI
Yangyang Wang,

Xin Zhou,

Hui Chen

et al.

Molecular Biology Reports, Journal Year: 2025, Volume and Issue: 52(1)

Published: April 4, 2025

Language: Английский

Citations

0