T-Cell Subpopulations and Differentiation Bias in Diabetic and Non-Diabetic Patients with Chronic Kidney Disease

患有慢性肾脏病的糖尿病和非糖尿病患者的 T 细胞亚群和分化偏差

阅读:5
作者:Ana Cecilia Granda Alacote, Gabriela Goyoneche Linares, María Gracia Castañeda Torrico, Daysi Zulema Diaz-Obregón, Michael Bryant Castro Núñez, Alexis Germán Murillo Carrasco, Cesar Liendo Liendo, Katherine Susan Rufasto Goche, Víctor Arrunátegui Correa, Joel de León Delgado1

Background

Chronic kidney disease (CKD) patients often experience dysregulated inflammation, particularly when compounded by comorbidities such as type 2 diabetes (T2D).

Conclusions

While T2D does not notably alter the distribution of memory T cells in CKD patients, it significantly impacts the frequency of Tregs and their correlation with pro-inflammatory transcription factors like T-bet (Tbx21) and RORyT.

Methods

Twenty-two CKD patients undergoing hemodialysis were selected for the study. Flow cytometry was used to identify naïve T cells, Tregs (CD4+CD25+CD127-), central memory T lymphocytes (CCR7+CD45RA-), effector memory T lymphocytes (CCR7-CD45RA-), and TEMRA cells (CCR7-CD45RA+). The expression of helper T cell differentiation regulatory genes was assessed using real-time RT-PCR.

Objective

The aim of this study was to determine whether T2D influences the profile of memory T lymphocytes, regulatory T cells (Tregs), and the gene expression of transcription factors such as T-bet (Tbx21), GATA3, RORyT (RORC), and FOXP3 in CKD patients.

Results

Both helper and cytotoxic effector memory T cell populations were found to be higher than naïve lymphocytes in CKD patients, regardless of T2D status. However, Tregs were significantly more frequent in diabetic CKD patients (5.1 ± 2.6%) compared to non-diabetic patients (2.8 ± 3.1%). In terms of transcription factor expression, a significant correlation was observed between T-bet and FOXP3 in diabetic patients, and between RORyT and FOXP3 in non-diabetic patients. Conclusions: While T2D does not notably alter the distribution of memory T cells in CKD patients, it significantly impacts the frequency of Tregs and their correlation with pro-inflammatory transcription factors like T-bet (Tbx21) and RORyT.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。