Identification and validation of pyroptosis-related genes in Alzheimer’s disease based on multi-transcriptome and machine learning DOI Creative Commons

Yusong Wang,

Yilin Li, Lu Zhou

et al.

Frontiers in Aging Neuroscience, Journal Year: 2025, Volume and Issue: 17

Published: May 14, 2025

Background Alzheimer’s disease (AD) progression is characterized by persistent neuroinflammation, where pyroptosis—an inflammatory programmed cell death mechanism—has emerged as a key pathological contributor. However, the molecular mechanisms through which pyroptosis-related genes (PRGs) drive AD pathogenesis remain incompletely elucidated. Methods We integrated multiple transcriptomes of patients from GEO database and analyzed expression PRGs in combined datasets. Machine learning algorithms comprehensive bioinformatics analysis (including immune infiltration receiver operating characteristic (ROC)) were applied to identify hub genes. Additionally, we validated patterns these using data mice constructed potential regulatory networks time series correlation analysis. Results identified 91 weighted gene co-expression network (WGCNA) differentially expressed By application protein–protein interaction machine algorithms, seven pyroptosis feature (CHMP2A, EGFR, FOXP3, HSP90B1, MDH1, METTL3, PKN2) identified. Crucially, MDH1 PKN2 demonstrated superior performance terms infiltration, ROC curves, experimental validation. Furthermore, long non-coding RNA mRNA (lncRNA-mRNA) profiles at varying ages, revealing mechanism AD. Conclusion This study provides first characterization signatures Seven identified, with particular emphasis on PKN2. Their performances bioinformatic both patient mouse transcriptomes, well data. Our findings establish foundational insights into that may inform novel treatment strategies targeting neuroinflammatory pathways.

Language: Английский

Role of Mitochondrial Dysfunction in Neuropathy DOI Open Access
Nidia Espinoza, Vassilios Papadopoulos

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(7), P. 3195 - 3195

Published: March 29, 2025

Diabetes mellitus is characterized by a state of hyperglycemia, which can lead to severe complications if left untreated or poorly managed. Diabetic peripheral neuropathy (DPN) one common complication. This condition damage the nerves that supply legs and feet as well problems with blood vessels, heart, urinary tract. To alleviate pain for patients, clinicians resort long-term treatment regimens nerve medications, are usually either anticonvulsants antidepressants. However, little understood about underlying mechanisms DPN. Many pathogenic pathways have been proposed, mitochondrial dysfunction. Mitochondrial dysfunction includes range possible deficiencies given number functions controlled located in mitochondria, including their core function bioenergetics. review focuses on bioenergetics, respiration/ATP synthesis reactive oxygen species (ROS) production, calcium homeostasis apoptosis, potential targets effective diabetic neuropathy.

Language: Английский

Citations

1
Dental pulp stem cells alleviate Schwann cell pyroptosis via mitochondrial transfer to enhance facial nerve regeneration DOI
Xiaoyu Zheng, Juan Wang,

Heng Zhou

et al.

Bioactive Materials, Journal Year: 2025, Volume and Issue: 47, P. 313 - 326

Published: Feb. 11, 2025

Language: Английский

Citations

0
Can pyridoxine function as an anti-pyroptosis agent? A narrative review DOI
Astari Pranindya Sari, Reviono Reviono, Agus Dwi Susanto

et al.

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

Published: April 17, 2025

Language: Английский

Citations

0
Identification and validation of pyroptosis-related genes in Alzheimer’s disease based on multi-transcriptome and machine learning DOI Creative Commons

Yusong Wang,

Yilin Li, Lu Zhou

et al.

Frontiers in Aging Neuroscience, Journal Year: 2025, Volume and Issue: 17

Published: May 14, 2025

Background Alzheimer’s disease (AD) progression is characterized by persistent neuroinflammation, where pyroptosis—an inflammatory programmed cell death mechanism—has emerged as a key pathological contributor. However, the molecular mechanisms through which pyroptosis-related genes (PRGs) drive AD pathogenesis remain incompletely elucidated. Methods We integrated multiple transcriptomes of patients from GEO database and analyzed expression PRGs in combined datasets. Machine learning algorithms comprehensive bioinformatics analysis (including immune infiltration receiver operating characteristic (ROC)) were applied to identify hub genes. Additionally, we validated patterns these using data mice constructed potential regulatory networks time series correlation analysis. Results identified 91 weighted gene co-expression network (WGCNA) differentially expressed By application protein–protein interaction machine algorithms, seven pyroptosis feature (CHMP2A, EGFR, FOXP3, HSP90B1, MDH1, METTL3, PKN2) identified. Crucially, MDH1 PKN2 demonstrated superior performance terms infiltration, ROC curves, experimental validation. Furthermore, long non-coding RNA mRNA (lncRNA-mRNA) profiles at varying ages, revealing mechanism AD. Conclusion This study provides first characterization signatures Seven identified, with particular emphasis on PKN2. Their performances bioinformatic both patient mouse transcriptomes, well data. Our findings establish foundational insights into that may inform novel treatment strategies targeting neuroinflammatory pathways.

Language: Английский

Citations

0