AIMC Topic: Aldehyde Dehydrogenase, Mitochondrial

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Multi-omics and machine learning identify FN1 and ALDH2 as diagnostic biomarkers and therapeutic targets in early and late diabetic kidney disease.

Renal failure Oct 29, 2025
Diabetic kidney disease (DKD), the leading cause of end-stage kidney disease worldwide, demands deeper molecular characterization to improve clinical management. This study employed an integrated multi-omics approach to identify stage-specific biomar...
Humans Machine Learning Biomarkers Female Aged Male Middle Aged Disease Progression Molecular Docking Simulation Diabetic Nephropathies Multiomics Fibronectins Aldehyde Dehydrogenase, Mitochondrial
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Linarin protects against asthma-induced airway epithelial ferroptosis and inflammation via ALDH2 regulation.

Phytomedicine : international journal of phytotherapy and phytopharmacology Oct 10, 2025
BACKGROUND: Asthma, a complex disease characterized by airway epithelial dysfunction and chronic inflammation, poses ongoing therapeutic challenges.
Humans Female Asthma Animals Mice Inflammation Disease Models, Animal Mice, Inbred BALB C Epithelial Cells Ferroptosis Pyroglyphidae Glycosides Aldehyde Dehydrogenase, Mitochondrial
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Identification of ALDH2 as a novel target for the treatment of acute kidney injury in kidney transplantation based on WGCNA and machine learning algorithms and exploration of its potential mechanism of action using animal experiments.

Frontiers in immunology Mar 4, 2025
BACKGROUND: Acute kidney injury (AKI) after kidney transplantation is one of the main causes of graft loss and poor patient prognosis, and it is important to explore new targets for treating AKI in kidney transplantation.
Humans Machine Learning Algorithms Kidney Transplantation Acute Kidney Injury Animals Male Gene Expression Profiling Gene Regulatory Networks Computational Biology Rats Disease Models, Animal Aldehyde Dehydrogenase, Mitochondrial
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Identification of glycolysis genes signature for predicting prognosis in malignant pleural mesothelioma by bioinformatics and machine learning.

Frontiers in endocrinology Nov 29, 2022
BACKGROUND: Glycolysis-related genes as prognostic markers in malignant pleural mesothelioma (MPM) is still unclear. We hope to explore the relationship between glycolytic pathway genes and MPM prognosis by constructing prognostic risk models through...
Humans Machine Learning Prognosis Biomarkers, Tumor Glycolysis Computational Biology Mesothelioma Mesothelioma, Malignant Aldehyde Dehydrogenase, Mitochondrial
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