Allergy & Immunology

Oral-Rinse-Sourced Microbiota in Oral Health and Diseases in a Representative US Adult Population: Implications for Diagnostics.

AIMS: To investigate the associations between oral-rinse microbiota and distinct oral conditions, and further evaluate its potential ability to distinguish periodontitis severity. METHODS: Oral-rinse-sourced microbiota with 16S ribosomal RNA sequencing from 3770 adults in US National Health and Nutrition Examination Survey 2009-2012 were analysed across oral health, caries, periodontitis, co-exist...

Integrating single-cell and bulk transcriptomes with machine learning reveals a CAF signature for immunotherapy response in dMMR endometrial cancer.

BACKGROUND: Cancer-associated fibroblasts (CAFs) are key players in the tumor microenvironment (TME), but their roles in prognosis and immunotherapy response in mismatch repair-deficient endometrial cancer (dMMR EC) remain unclear. This study used single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing to identify Wnt-related CAF subclusters and applied multi-algorithm machine learning to b...

A combinatorial transcription factor screening platform for immune cell reprogramming.

Direct reprogramming of immune cells holds promise for immunotherapy but is constrained by limited knowledge of transcription factor (TF) networks. He...

Programmable Smart CAR-T design: A new paradigm in precision immunotherapy driven by logic gates, conditional activation, allogeneic strategies, and artificial intelligence.

Chimeric antigen receptor T-cell (CAR-T) therapy has achieved unprecedented success in hematological malignancies but faces formidable challenges in s...

Lightweight interpretable AI model using multiple blood parameters for emergency diagnosis of acute appendicitis.

BACKGROUND: Acute appendicitis poses diagnostic challenges due to symptom overlap with other abdominal conditions, often leading to misdiagnosis or mi...

Rapid Point-of-Care Inflammatory Cytokine Monitoring during Normothermic Liver Perfusion via a Multiplexed Paper-Based Vertical Flow Assay.

The advent of normothermic machine perfusion (NMP) has substantially enhanced liver transplantation outcomes by enabling physiologic preservation and ...

Advances in melanoma immunotherapy: harnessing vaccination as a potential novel immunotherapeutic strategy.

Melanoma, an aggressive form of skin cancer, demands innovative immunotherapeutic strategies to improve patient outcomes. This review explores recent ...

Unraveling stress-adaptation pathways in cancer: Functional dissection through CRISPR-based genetic screens.

Cancer cells face a hostile microenvironment characterized by hypoxia, nutrient deprivation, endoplasmic reticulum (ER) stress, and oxidative imbalanc...

Automated CT-derived body composition predicts pathologic response to neoadjuvant immunotherapy in non-small cell lung cancer.

Tumor-intrinsic biomarkers alone insufficiently predict pathological complete response (pCR) to neoadjuvant immunochemotherapy (NICT) in non-small cel...

Single‑cell mapping of neutrophil extracellular trap signatures in lung adenocarcinoma reveals immune landscapes, prognostic potential, and therapeutic targets.

Neutrophil extracellular traps (NETs) have emerged as key modulators in the tumor microenvironment, yet their cellular heterogeneity, molecular mechan...

Identifying transcriptional signatures of leukocytes in tissue and blood for multicancer diagnosis by using machine learning methods.

Investigating the transcriptional signatures of immune cells in various cancer types is crucial for understanding their roles in the tumor microenviro...

Metabolic-immune interactions in gastric cancer T cells: A single-cell atlas for prognostic biomarker identification.

Metabolic alterations and immune dysfunction within the gastric tumor microenvironment critically drive gastric cancer (GC) progression and therapeuti...

Degraders on Demand: Engineering Smart Nanocarriers for PROTAC Delivery.

Proteolysis-targeting chimeras (PROTACs) are transforming targeted therapeutics by enabling the selective and catalytic degradation of disease-associa...

Smart three-in-one detection platform: Chemical sensing, image recognition, and machine learning for rapid identification of tetracycline antibiotics.

The hidden allergic reactions and cumulative toxic effects caused by antibiotic residues in aquatic products have become significant public health con...

TNFAIP3, PADI4, and CXCR4 as biomarkers of neutrophil extracellular traps in severe asthma.

Asthma is a heterogeneous condition impacting an estimated 300 million individuals globally. Although inhaled corticosteroids are effective in allevia...

Machine learning-assisted prognosis of multiple myeloma side population cells via SRGs and OCLR stemness index.

BACKGROUND AND OBJECTIVE: Relapse in Multiple Myeloma, driven by therapy-resistant cancer stem cells, necessitates the development of more specific an...

Spatiotemporal prediction of aeropollen concentration using tree-based machine learning.

Pollen is a major aeroallergen and an important environmental health concern, with its concentrations strongly modulated by climate, air pollution, an...

Decoding Senescence-Driven Heterogeneity in Early-Onset Colorectal Cancer for Prognostic and Therapeutic Stratification.

Early-onset colorectal cancer (EOCRC), diagnosed in patients under 50, is particularly aggressive, yet lacks targeted therapeutic strategies. This stu...

Sequential active learning for medium optimization in mAb production.

Monoclonal antibodies (mAbs) are key therapeutics for diseases like cancer and autoimmunity. The production of mAbs relies on cell culture, in which t...

Construction and application of a high-resolution pollen numerical model system based on phenology and XGBoost.

The allergenic characteristics of anemophilous pollen differ among taxa, and its atmospheric concentration plays a critical role in influencing allerg...