Differential effects of TLR3 and TLR4 activation on MSC-mediated immune regulation

IF 2.3 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Urvashi Kaundal , Aruna Rakha
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引用次数: 0

Abstract

Mesenchymal stromal cells (MSCs) have evolved as an invaluable therapeutic cell type due to their broad therapeutic properties. Bone marrow-derived MSCs are currently being applied in numerous clinical trials, and the initial results have been encouraging. However, heterogeneous responsiveness amongst patients is also being experienced; therefore, the efficacy of MSCs in vivo is still debatable. Host microenvironment plays an essential role in determining the fate of MSCs in vivo. Recent studies have indicated the role of toll-like receptors (TLR) in modulating the biological properties of MSCs. TLRs are expressed by MSCs, and activation of TLR3 and TLR4 can alter the functionality of MSCs. While MSCs can suppress the effector and memory T cell function by promoting regulatory T cells, the effect of TLR activation on MSC-mediated immune cell induction is still not well understood. This study was performed to understand the TLR licensing of MSCs and its impact on MSC-mediated immunomodulation. We found that TLR3 mediated activation of MSCs (TLR3-MSCs) increased the expression of G-CSF & IL-10 while TLR4-mediated activation of MSCs led to an increase in CXCL-1, CXCL-10, and CXCL-12. To study the immunological aspect, an in vitro co-culture model was established-to imitate the brief in vivo interaction of MSCs and immune cells. We found that TLR3-MSCs led to increase in CD4 and CD8 naive T (TNAI) cells and vice versa for effector (TEFF) and memory T (TMEM) cells, while TLR4-MSCs did not show any effect.

Moreover, only TLR3-MSCs led to a non-significant increase in the regulatory T cells (TREGS) and Double negative regulatory cells. No change in B cell profile was evident while TLR3-MSCs depicted an increasing trend in regulatory B cells which was not statistically significant. TLR3 MSCs also inhibited the T cell proliferation in our setup. Our data indicate that TLR3 priming may regulate the function of MSCs through immunomodulation.

Understanding the role of TLRs and other microenvironmental factors causing subdued responses of MSCs in vivo would allow the uninhibited use of MSCs for many diseased conditions.

TLR3 和 TLR4 激活对间叶干细胞介导的免疫调节的不同影响
间充质基质细胞(MSCs)具有广泛的治疗特性,已发展成为一种宝贵的治疗细胞类型。骨髓间充质干细胞目前正被应用于多项临床试验,初步结果令人鼓舞。然而,患者对间叶干细胞的反应也不尽相同;因此,间叶干细胞在体内的疗效仍有待商榷。宿主微环境对决定间充质干细胞在体内的命运起着至关重要的作用。最近的研究表明,收费样受体(TLR)在调节间充质干细胞生物特性方面发挥着作用。间充质干细胞表达 TLR,TLR3 和 TLR4 的激活可改变间充质干细胞的功能。间充质干细胞可通过促进调节性T细胞来抑制效应T细胞和记忆T细胞的功能,但TLR激活对间充质干细胞介导的免疫细胞诱导的影响仍不十分清楚。本研究旨在了解间充质干细胞的 TLR 许可及其对间充质干细胞介导的免疫调节的影响。我们发现,TLR3 介导的间充质干细胞活化(TLR3-MSCs)会增加 G-CSF & IL-10 的表达,而 TLR4 介导的间充质干细胞活化会导致 CXCL-1、CXCL-10 和 CXCL-12 的增加。为了研究免疫学方面的问题,我们建立了一个体外共培养模型,以模仿间充质干细胞和免疫细胞在体内的短暂相互作用。我们发现,TLR3-间充质干细胞会导致CD4和CD8幼稚T细胞(TNAI)增加,反之亦然,效应T细胞(TEFF)和记忆T细胞(TMEM)也会增加,而TLR4-间充质干细胞则没有任何影响。B 细胞特征没有明显变化,而 TLR3 间充质干细胞则显示出调节性 B 细胞的增加趋势,但无统计学意义。在我们的实验中,TLR3 间充质干细胞还抑制了 T 细胞的增殖。我们的数据表明,TLR3引物可能会通过免疫调节来调节间充质干细胞的功能。了解TLRs和其他微环境因素在导致间充质干细胞体内反应减弱方面所起的作用,将使间充质干细胞在治疗多种疾病时不受抑制。
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来源期刊
Biochemistry and Biophysics Reports
Biochemistry and Biophysics Reports Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
4.60
自引率
0.00%
发文量
191
审稿时长
59 days
期刊介绍: Open access, online only, peer-reviewed international journal in the Life Sciences, established in 2014 Biochemistry and Biophysics Reports (BB Reports) publishes original research in all aspects of Biochemistry, Biophysics and related areas like Molecular and Cell Biology. BB Reports welcomes solid though more preliminary, descriptive and small scale results if they have the potential to stimulate and/or contribute to future research, leading to new insights or hypothesis. Primary criteria for acceptance is that the work is original, scientifically and technically sound and provides valuable knowledge to life sciences research. We strongly believe all results deserve to be published and documented for the advancement of science. BB Reports specifically appreciates receiving reports on: Negative results, Replication studies, Reanalysis of previous datasets.
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