AIMC Topic: CD4-Positive T-Lymphocytes

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Predicting SARS-CoV-2-specific CD4 and CD8 T-cell responses elicited by inactivated vaccines in healthy adults using machine learning models.

Clinical and experimental medicine Jul 8, 2025
The ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants highlights the importance of monitoring immune responses to guide vaccination strategies. Although neutralizing antibodies (NAbs) have garnered increasing ...
Healthy Volunteers Vaccines, Inactivated Male Middle Aged Immunity, Cellular Female CD8-Positive T-Lymphocytes SARS-CoV-2 CD4-Positive T-Lymphocytes Young Adult COVID-19 Vaccines Adult Antibodies, Viral Humans Machine Learning COVID-19
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The tumor microenvironment of non-small cell lung cancer impairs immune cell function in people with HIV.

The Journal of clinical investigation Jun 3, 2025
Lung cancer is the leading cause of cancer mortality among people with HIV (PWH), with increased incidence and poor outcomes. This study explored whether the tumor microenvironment (TME) of HIV-associated non-small cell lung cancer (NSCLC) limits tum...
Female Tumor Microenvironment Male Middle Aged Humans Lymphocytes, Tumor-Infiltrating CD8-Positive T-Lymphocytes Neoplasm Proteins CD4-Positive T-Lymphocytes HIV Infections Lung Neoplasms Carcinoma, Non-Small-Cell Lung
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Machine learning analysis of CD4+ T cell gene expression in diverse diseases: insights from cancer, metabolic, respiratory, and digestive disorders.

Cancer genetics Dec 22, 2024
CD4 T cells play a pivotal role in the immune system, particularly in adaptive immunity, by orchestrating and enhancing immune responses. CD4 T cell-related immune responses exhibit diverse characteristics in different diseases. This study utilizes g...
Humans Machine Learning Algorithms CD4-Positive T-Lymphocytes Metabolic Diseases Respiratory Tract Diseases Digestive System Diseases Neoplasms Gene Expression Profiling Transcriptome
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Integrative analysis of PANoptosis-related genes in diabetic retinopathy: machine learning identification and experimental validation.

Frontiers in immunology Dec 4, 2024
BACKGROUND: Diabetic retinopathy (DR) is a major complication of diabetes, leading to severe vision impairment. Understanding the molecular mechanisms, particularly PANoptosis, underlying DR is crucial for identifying potential biomarkers and therape...
Regulated Cell Death Memory T Cells Fatty Acid Synthase, Type I Gene Regulatory Networks Phospholipid Transfer Proteins Nomograms Human Umbilical Vein Endothelial Cells Machine Learning Humans Gene Expression Regulation ROC Curve Biomarkers Random Forest Diabetic Retinopathy Molecular Targeted Therapy CD4-Positive T-Lymphocytes RNA-Seq
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Machine learning approaches identify immunologic signatures of total and intact HIV DNA during long-term antiretroviral therapy.

eLife Sep 9, 2024
Understanding the interplay between the HIV reservoir and the host immune system may yield insights into HIV persistence during antiretroviral therapy (ART) and inform strategies for a cure. Here, we applied machine learning (ML) approaches to cross-...
Proviruses CD4-Positive T-Lymphocytes Anti-Retroviral Agents HIV-1 Female Adult Cross-Sectional Studies HIV Infections DNA, Viral Male Middle Aged Humans Machine Learning
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Immune modulation by nutritional intervention in malnourished children: Identifying the phenotypic distribution and functional responses of peripheral blood mononuclear cells.

Scandinavian journal of immunology Jun 7, 2023
Malnourished children are susceptible to an increased risk of mortality owing to impaired immune functions. However, the underlying mechanism of altered immune functions and its interaction with malnutrition is poorly understood. This study investiga...
Cattle Infant, Newborn Natural Killer T-Cells Humans Immunity Animals Cytokines B-Lymphocytes Child Female CD4-Positive T-Lymphocytes
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Machine learning based deconvolution of microarray atrial samples from atrial fibrillation patients reveals increased fractions of follicular CD4+ T lymphocytes and gamma-delta T cells.

Journal of physiology and pharmacology : an official journal of the Polish Physiological Society Apr 24, 2022
A potential relationship between T cell immunity and development of atrial fibrillation (AF) has been proposed. Historically in AF patients it has been reported that peripheral blood had elevated CD4+ T cells. However few studies have explored whethe...
Heart Atria Humans Myocardium Machine Learning CD4-Positive T-Lymphocytes Atrial Fibrillation
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Statistical and machine learning methods to study human CD4 T cell proteome profiles.

Immunology letters Apr 2, 2022
Mass spectrometry proteomics has become an important part of modern immunology, making major contributions to understanding protein expression levels, subcellular localizations, posttranslational modifications, and interactions in various immune cell...
Proteomics Proteome Humans Machine Learning CD4-Positive T-Lymphocytes
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Deep Learning of Morphologic Correlations To Accurately Classify CD4+ and CD8+ T Cells by Diffraction Imaging Flow Cytometry.

Analytical chemistry Jan 10, 2022
The two major subtypes of human T cells, CD4+ and CD8+, play important roles in adaptive immune response by their diverse functions. To understand the structure-function relation at the single cell level, we isolated 2483 CD4+ and 2450 CD8+ T cells f...
CD8-Positive T-Lymphocytes Flow Cytometry CD4-Positive T-Lymphocytes Humans Neural Networks, Computer Deep Learning
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Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy.

eLife Aug 5, 2021
For an emerging disease like COVID-19, systems immunology tools may quickly identify and quantitatively characterize cells associated with disease progression or clinical response. With repeated sampling, immune monitoring creates a real-time portrai...
Rhinovirus Humans COVID-19 Adolescent Algorithms Unsupervised Machine Learning CD4-Positive T-Lymphocytes Adult Melanoma Neoplasms Leukemia, Myeloid, Acute SARS-CoV-2 Picornaviridae Infections Young Adult
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