Request Demo

Last update 23 Jan 2025

TREML2

Last update 23 Jan 2025

Basic Info

Synonyms

C6orf76, dJ238O23.1, FLJ13693

+ [6]

Introduction

Cell surface receptor that may play a role in the innate and adaptive immune response. Acts as a counter-receptor for CD276 and interaction with CD276 on T-cells enhances T-cell activation.

Drugs associated with TREML2

CN115873109

Patent Mining

Target

TREML2

Mechanism-

Active Org.

Institute of Botany, Chinese Academy of Sciences, Jiangsu Province [+1]

Originator Org.

Research Institute of Artificial Intelligence Biomedical Technology, Nanjing University [+1]

Active Indication

Cardiovascular Diseases [+3]

Inactive Indication-

Drug Highest PhaseDiscovery

First Approval Ctry. / Loc.-

First Approval Date20 Jan 1800

100 Clinical Results associated with TREML2

100 Translational Medicine associated with TREML2

0 Patents (Medical) associated with TREML2

123

Literatures (Medical) associated with TREML2

01 Jan 2025·American Journal of Physiology-Renal Physiology

Exosomes derived from TREM-2 knocked-out macrophages alleviated renal fibrosis via HSPa1b/AKT pathway

Article

Author: Cao, Yuhan ; Liu, Can ; Wang, Yajie ; Chen, Yuye ; Xiao, Zihao ; Jin, Ling ; Shi, Yuanhui ; Fu, Cong

Renal fibrosis is a common pathological feature of CKD, resulting in irreversible loss of function and structure. However, effective therapies for CKD are currently limited. We found that the deletion of TREM-2 in macrophages increased the MMP-9/TIMP-1 ratio in exosomes, shifting toward the degradation of the extracellular matrix (ECM) and the alleviation of renal fibrosis. Furthermore, polyclonal antibodies against TREM-2 effectively suppressed renal fibrosis. These findings provide evidence that TREM-2 is a potential therapeutic target for CKD.

13 Dec 2024·Medicine

Causal relationship between immune cells and periodontitis: A Mendelian randomization study

Article

Author: Yan, Jiaqi ; Chen, Yuxin ; Liu, Changqing ; Ye, Wenhao ; Zhang, Jie ; Ge, Aiyun ; Bi, Junlei ; Ma, Caiyun ; Wen, Hebao

This study employed Mendelian randomization (MR) analysis to explore potential causal relationships between 731 immune cell subtypes and periodontitis. Utilizing a 2-sample MR design, our study delved into the diverse landscape of immune cell interactions with periodontitis-associated factors. Multiple MR methods, including inverse variance weighting, weighted median, and MR-Egger tests, were employed to ensure reliability and mitigate potential pleiotropic effects. The study revealed significant causal effects (FDR < 0.15) between immune cells (B cells, maturation stages of T cells, Treg) and periodontitis. Notably, receptors like triggering receptor expressed on myeloid cells-1 (TREM-1) and triggering receptor expressed on myeloid cells-2 (TREM-2) exhibited intricate roles, warranting further investigation. In conclusion, this MR analysis elucidates complex causal relationships between immune cell subtypes and periodontitis. The findings provide a foundation for understanding systemic implications, offering insights for clinical practice and highlighting avenues for future research.

01 Dec 2024·Alzheimer's & Dementia

Ancestry‐specific studies on Alzheimer’s disease using iPSC‐derived microglia

Article

Author: Coombs, Lauren ; Illanes‐Manrique, Maryenela Z. ; Shepherd, Jihanne J ; Vance, Jeffery M. ; Cornejo‐Olivas, Mario ; Mena, Pedro R. ; Wang, Liyong ; Adams, Larry D. ; Feliciano‐Astacio, Briseida E. ; Rajabli, Farid ; Simon, Shaina A. ; Pericak‐Vance, Margaret A. ; Rivero, Joe ; DeRosa, Brooke A. ; Whitehead, Patrice L. ; Starks, Takiyah D. ; Byrd, Goldie S. ; Ramirez, Aura M ; Nasciben, Luciana Bertholim ; Moura, Sofia ; Tejada, Sergio J. ; Dykxhoorn, Derek M. ; Young, Juan I ; Van Booven, Derek ; Griswold, Anthony J.

AbstractBackgroundIn the US, African Americans (admixed with African and European) followed by Hispanics (admixed with Amerindian, African, and European) are the most affected groups compared to non‐Hispanic Whites (NHW). While genetic diversity and admixture play crucial roles in disease risk, the ancestry‐specific mechanisms remain poorly understood with most AD‐related studies focusing on NHW. Despite the recent field efforts to include genetically admixed populations, there continues to be a lack of functional studies in AD across the different cell types in these populations. Given the importance of Microglia in AD, we here characterize the genetic regulatory architecture (GRA) on iPSC‐derived Microglia (MGL) in African and Amerindian genomes.MethodiPSC lines derived from controls and AD patients with >90% genomic content from different ancestries (Amerindian, African, and European) were differentiated into MGL. We performed bulk RNA‐seq and ATAC‐seq, followed by differential expression and accessibility analyses to study the GRA of these admixed populations and its contributions to AD.ResultWe identified 1,103 differentially expressed genes (DEGs) and 267 differentially accessible genes (DAGs) across ancestries. We observed the most differences on both chromatin accessibility and gene expression levels between AI and AF. On the chromatin level and in the context of AD, we observed 2 DAGs (PRDM7 and SCIMP) between AI and AF, and 1 DAG between AI and EU (PRDM7). In addition, we identified 10 AD‐risk modifying genes that are differentially expressed between AI and AF ancestries (ABI3, CTSB, JAZF1, MS4A6A, PILRA, PLEKHA1, RASGEF1C, SORL1, TREM2, and TREML2) and 3 DEGs between AI and EU (JAZF1, MS4A6A, and SORL1). We identified several DEGs to be involved in lipid metabolism, cholesterol biosynthesis and metabolism, lysosomal activity, and immune response ‐ all highly relevant processes in AD pathology.ConclusionWe provide new insights into ancestry‐specific genetic risk factors in AD pathophysiology. Here, we report novel transcriptomic and chromatin accessibility data in microglia of AI and AF ancestries that potentially contribute to a differential genetic risk in AD in the different ancestries. Interestingly, those ancestries with greatest migratory differences revealed the largest DEG.

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

TREML2

Basic Info

Related

Analysis