Last update 01 Nov 2024

CD8 x CD11a

Last update 01 Nov 2024

Basic Info

Related Targets

CD8CD11a

Drugs associated with CD8 x CD11a

Anti-CD8 monoclonal antibody(CytoDyn, Inc.)

Target

CD11a x CD8

Mechanism

CD11a antagonists [+1]

Active Org.

Mayo Clinic

Originator Org.

CytoDyn, Inc.

Active Indication

HIV Infections

Inactive Indication-

Drug Highest PhasePhase 1

First Approval Ctry. / Loc.-

First Approval Date20 Jan 1800

100 Clinical Results associated with CD8 x CD11a

100 Translational Medicine associated with CD8 x CD11a

0 Patents (Medical) associated with CD8 x CD11a

453

Literatures (Medical) associated with CD8 x CD11a

01 Oct 2024·ACS Nano

A Multifunctional Biomimetic Nanoplatform for Dual Tumor Targeting-Assisted Multimodal Therapy of Colon Cancer

Article

Author: Xie, Anqi ; Liang, Yongye ; Zhang, Ying ; Xiong, Mengmeng ; Wan, Hao ; Wan, Xin ; Wan, Yiqun

The biomimetic nanoparticles (NPs) possessing abilities of tumor targeting and multimodal therapy show great potential for efficient combat of colon cancer. Herein, we developed a multifunctional biomimetic nanoplatform (Fe₃O₄@PDA@CaCO₃-ICG@CM) based on CaCO₃-modified magnetic polydopamine (PDA) loaded with indocyanine green (ICG), which was encapsulated by a mouse lymphoma cell (EL4) membrane (CM) expressing functional proteins (i.e., lymphocyte function-associated antigen 1, LFA-1; transforming growth factor-β receptor, TGF-βR; programmed cell death protein 1, PD-1; and factor related apoptosis ligand, FasL). Under magnetic attraction and LFA-1/PD-1-mediated endocytosis, Fe₃O₄@PDA@CaCO₃-ICG@CM efficiently targeted CT26 colon tumor cells. The released calcium ion (Ca²⁺) from the NPs triggered by acidic tumor microenvironment, the enhanced photothermal effect contributed by the combination of PDA and ICG, and FasL's direct killing effect together induced tumor cells apoptosis. Moreover, the apoptosis of CT26 cells induced immunogenic cell death (ICD) to promote the maturation of dendritic cells (DCs) to activate CD4⁺/CD8⁺ T cells, thereby fighting against tumor cells, which could further be boosted by programmed death-ligand 1 (PD-L1) blockage and transforming growth factor-β (TGF-β) scavenging by Fe₃O₄@PDA@CaCO₃-ICG@CM. As a result, in vivo satisfactory therapeutic effect was observed for CT26 tumor bearing-mice treated with Fe₃O₄@PDA@CaCO₃-ICG@CM under laser irradiation and magnetic attraction, which could eradicate primary tumors and restrain distant tumors through dual tumor targeting-assisted multimodal therapy and eliciting adaptive antitumor immune response, generating the immune memory for inhibiting tumor metastasis and recurrence. Taken together, the multifunctional biomimetic nanoplatform exhibits superior antitumor effects, providing an insightful strategy for the field of nanomaterial-based treatment of cancer.

20 Jun 2024·Nan fang yi ke da xue xue bao = Journal of Southern Medical University

[Identification of potential biomarkers and immunoregulatory mechanisms of rheumatoid arthritis based on multichip co-analysis of GEO database].

Article

Author: Ding, Z ; Wu, T ; Chen, L ; Zhang, X ; Zhang, M ; Zhang, Y ; Zheng, J ; Yang, Y

OBJECTIVETo identify the biomarkers for early rheumatoid arthritis (RA) diagnosis and explore the possible immune regulatory mechanisms.METHODSThe differentially expressed genesin RA were screened and functionally annotated using the limma, RRA, batch correction, and clusterProfiler. The protein-protein interaction network was retrieved from the STRING database, and Cytoscape 3.8.0 and GeneMANIA were used to select the key genes and predicting their interaction mechanisms. ROC curves was used to validate the accuracy of diagnostic models based on the key genes. The disease-specific immune cells were selected via machine learning, and their correlation with the key genes were analyzed using Corrplot package. Biological functions of the key genes were explored using GSEA method. The expression of STAT1 was investigated in the synovial tissue of rats with collagen-induced arthritis (CIA).RESULTSWe identified 9 core key genes in RA (CD3G, CD8A, SYK, LCK, IL2RG, STAT1, CCR5, ITGB2, and ITGAL), which regulate synovial inflammation primarily through cytokines-related pathways. ROC curve analysis showed a high predictive accuracy of the 9 core genes, among which STAT1 had the highest AUC (0.909). Correlation analysis revealed strong correlations of CD3G, ITGAL, LCK, CD8A, and STAT1 with disease-specific immune cells, and STAT1 showed the strongest correlation with M1-type macrophages (R=0.68, P=2.9e-08). The synovial tissues of the ankle joints of CIA rats showed high expressions of STAT1 and p-STAT1 with significant differential expression of STAT1 between the nucleus and the cytoplasm of the synovial fibroblasts. The protein expressions of p-STAT1 and STAT1 in the cell nuclei were significantly reduced after treatment.CONCLUSIONCD3G, CD8A, SYK, LCK, IL2RG, STAT1, CCR5, ITGB2, and ITGAL may serve as biomarkers for early diagnosis of RA. Gene-immune cell pathways such as CD3G/CD8A/LCK-γδ T cells, ITGAL-Tfh cells, and STAT1-M1-type macrophages may be closely related with the development of RA.

01 Jan 2024·Cytometry Part A

OMIP‐099: 31‐color spectral flow cytometry panel to investigate the steady‐state phenotype of human T cells

Article

Author: Houtman, Jon C D ; Zacharias, Zeb R

AbstractWe have developed a 31‐color panel to define the steady‐state phenotype of T cells in human peripheral blood (Table 1). The panel presented here was optimized using cryopreserved peripheral blood mononuclear cells (PBMC). The markers included in this panel were chosen in order to characterize the steady‐state phenotype of T cells and includes markers (CD45RA, CD45RO, CCR7, CD95) to distinguish the main subsets (e.g., naïve, TEM, TCM, TEMRA, TSCM etc.) of CD4, CD8, and γδ T cells. This panel also includes markers for the identification of differentiation status (CD27, CD28), activation/antigen experience status (CD11a, CD49d, CD38, HLA‐DR, CD56, and CD39), co‐inhibitory marker expression (PD‐1, TIM‐3), and CD4 T helper subsets (CXCR3, CXCR5, CCR4, CCR6, Foxp3, CD25, and CD127). This optimized panel provides a broad assessment of the steady‐state phenotype of human T cells.

Analysis

Perform a panoramic analysis of this field.

view full example data

Chat with Hiro

Get started for free today!

Accelerate Strategic R&D decision making with Synapse, PatSnap’s AI-powered Connected Innovation Intelligence Platform Built for Life Sciences Professionals.

Start your data trial now!

Synapse data is also accessible to external entities via APIs or data packages. Empower better decisions with the latest in pharmaceutical intelligence.

Bio

Bio Sequences Search & Analysis

Chemical

Chemical Structures Search & Analysis