Results 41 to 50 of about 872,026 (339)
CD39 molecule: a negative regulator expressed on T cells in patients with lung adenocarcinoma
Introduction The function of cytotoxic cells may be impacted by CD39 expression on CD8-positive T lymphocytes, leading to an imbalance in tumor immunity.
Lu Tang, Hao Jin
doaj +1 more source
Physiological implications of NTBI uptake by T lymphocytes [PDF]
In iron overload disorders a significant fraction of the total iron circulates in the plasma as low molecular weight complexes not bound to transferrin, known as non-transferrin-bound iron (NTBI).
Arezes, J. +10 more
core +1 more source
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu +17 more
wiley +1 more source
FEATURES OF THE PHENOTYPE OF REGULATORY T CELLS IN EARLY AND ADVANCED RHEUMATOID ARTHRITIS
Objective: to analyze the levels of CD3+, CD3+CD4+, CD3+CD8+, and CD3-CD56+ T lymphocytes, FoxP3+ regulatory T cells (Treg), and CD19+ B lymphocytes in patients with early and advanced rheumatoid arthritis (RA). Subjects and methods.
A. S. Avdeeva +5 more
doaj +1 more source
II. Detection of an antigen on resting T cells down-regulated after activation [PDF]
The expression of an antigen on porcine T lymphocytes detected by murine monoclonal antibody (mAb) 8/1 was investigated by functional studies and dual-parameter immunofluorescence.
Bühring, Hans-Jörg +4 more
core +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Objective: to evaluate the dynamics of the T- and B-cell immunity in patients with acute coronary syndrome (ACS) who have and have not had COVID-19, depending on the number of CD3+CD8+T-lymphocytes.Materials and methods: 65 men with ACS who underwent ...
E. A. Safronova +4 more
doaj +1 more source
Local CD4+, CD8+ and CD56+ reactions to lung cancer in regard to pathohistological type and clinical stage [PDF]
Aim To determinate the difference of abundance of CD4+, CD8+ and CD56+ bronchoalveolar luid’s lymphocytes and their subpopulations between non- and small cell lung cancer.
Edin Jusufovic +8 more
doaj
B-Lymphocyte Phenotype Determines T-Lymphocyte Subset Differentiation in Autoimmune Diabetes
Previous studies indicate that B-lymphocytes play a key role activating diabetogenic T-lymphocytes during the development of autoimmune diabetes. Recently, two transgenic NOD mouse models were generated: the NOD-PerIg and the 116C-NOD mice.
Leire Egia-Mendikute +14 more
doaj +1 more source
T-bet, a T-box family member, is a transcription factor essential for the differentiation of naive CD4+ T cells into Th1 cells that are involved in both innate and adaptive immune responses.
Hongfei Tian +8 more
doaj +1 more source

