AIMC Topic: Mitochondria

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Machine learning-based algorithm identifies key mitochondria-related genes in non-alcoholic steatohepatitis.

Lipids in health and disease May 8, 2024
BACKGROUND: Evidence suggests that hepatocyte mitochondrial dysfunction leads to abnormal lipid metabolism, redox imbalance, and programmed cell death, driving the onset and progression of non-alcoholic steatohepatitis (NASH). Identifying hub mitocho...
Humans Machine Learning Non-alcoholic Fatty Liver Disease Mitochondria Aldo-Keto Reductases Lipid Metabolism Genes, Mitochondrial Algorithms
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Screening mitochondria-related biomarkers in skin and plasma of atopic dermatitis patients by bioinformatics analysis and machine learning.

Frontiers in immunology May 7, 2024
BACKGROUND: There is a significant imbalance of mitochondrial activity and oxidative stress (OS) status in patients with atopic dermatitis (AD). This study aims to screen skin and peripheral mitochondria-related biomarkers, providing insights into th...
Mitochondria Dermatitis, Atopic Skin DNA, Mitochondrial Biomarkers Humans Gene Expression Profiling Female Machine Learning Male Computational Biology
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Integrated multi-omics analysis and machine learning developed a prognostic model based on mitochondrial function in a large multicenter cohort for Gastric Cancer.

Journal of translational medicine Apr 23, 2024
BACKGROUND: Gastric cancer (GC) is a common and aggressive type of cancer worldwide. Despite recent advancements in its treatment, the prognosis for patients with GC remains poor. Understanding the mechanisms of cell death in GC, particularly those r...
Multiomics Gene Expression Regulation, Neoplastic Membrane Proteins Middle Aged Cohort Studies Mitochondria Cell Proliferation Models, Biological Machine Learning Prognosis Stomach Neoplasms Male Female Humans
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Machine-learning prediction of a novel diagnostic model using mitochondria-related genes for patients with bladder cancer.

Scientific reports Apr 23, 2024
Bladder cancer (BC) is the ninth most-common cancer worldwide and it is associated with high morbidity and mortality. Mitochondrial Dysfunction is involved in the progression of BC. This study aimed to developed a novel diagnostic model based on mito...
Humans Machine Learning Urinary Bladder Neoplasms Genes, Mitochondrial Mitochondria Biomarkers, Tumor Gene Expression Regulation, Neoplastic
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Machine learning-based 3D segmentation of mitochondria in polarized epithelial cells.

Mitochondrion Apr 9, 2024
Mitochondria are dynamic organelles that alter their morphological characteristics in response to functional needs. Therefore, mitochondrial morphology is an important indicator of mitochondrial function and cellular health. Reliable segmentation of ...
Retinal Pigment Epithelium Epithelial Cells Mitochondria Humans Machine Learning Image Processing, Computer-Assisted Cell Line Imaging, Three-Dimensional
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Identification and verification of diagnostic biomarkers based on mitochondria-related genes related to immune microenvironment for preeclampsia using machine learning algorithms.

Frontiers in immunology Jan 8, 2024
Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality worldwide. Preeclampsia is linked to mitochondrial dysfunction as a contributing factor in its progression. This study aimed to develop a novel diagnostic model b...
Female Humans Mitochondria Pre-Eclampsia Biomarkers Algorithms DNA, Mitochondrial Machine Learning Pregnancy
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PINK1 dominated mitochondria associated genes signature predicts abdominal aortic aneurysm with metabolic syndrome.

Biochimica et biophysica acta. Molecular basis of disease Oct 30, 2023
Abdominal aortic aneurysm (AAA) is typically asymptomatic but a devastating cardiovascular disorder, with overall mortality exceeding 80 % once it ruptures. Some patients with AAA may also have comorbid metabolic syndrome (MS), suggesting a potential...
Metabolic Syndrome Humans Lipopolysaccharides Animals Mitochondria Aortic Aneurysm, Abdominal Mice Protein Kinases
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Plantorganelle Hunter is an effective deep-learning-based method for plant organelle phenotyping in electron microscopy.

Nature plants Sep 25, 2023
Accurate delineation of plant cell organelles from electron microscope images is essential for understanding subcellular behaviour and function. Here we develop a deep-learning pipeline, called the organelle segmentation network (OrgSegNet), for pixe...
Deep Learning Mitochondria Chloroplasts Cell Nucleus Microscopy, Electron
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An interactive deep learning-based approach reveals mitochondrial cristae topologies.

PLoS biology Aug 31, 2023
The convolution of membranes called cristae is a critical structural and functional feature of mitochondria. Crista structure is highly diverse between different cell types, reflecting their role in metabolic adaptation. However, their precise three-...
Mitochondria Acclimatization Mitochondrial Membranes Humans Algorithms Deep Learning
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Predicting the Mitochondrial Toxicity of Small Molecules: Insights from Mechanistic Assays and Cell Painting Data.

Chemical research in toxicology Jul 6, 2023
Mitochondrial toxicity is a significant concern in the drug discovery process, as compounds that disrupt the function of these organelles can lead to serious side effects, including liver injury and cardiotoxicity. Different in vitro assays exist to ...
Mitochondria Mitochondrial Membranes Machine Learning Reproducibility of Results Liver
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