helper cells
Recently Published Documents


TOTAL DOCUMENTS

1400
(FIVE YEARS 265)

H-INDEX

95
(FIVE YEARS 11)

2022 ◽  
Vol 74 ◽  
pp. 133-139
Author(s):  
Uthaman Gowthaman ◽  
Suchandan Sikder ◽  
Donguk Lee ◽  
Courtney Fisher

EBioMedicine ◽  
2022 ◽  
Vol 75 ◽  
pp. 103784
Author(s):  
Damian. A. Oyong ◽  
Jessica. R. Loughland ◽  
Megan. S.F. Soon ◽  
Jo-Anne Chan ◽  
Dean Andrew ◽  
...  

2022 ◽  
Author(s):  
Abigail E. Overacre-Delgoffe ◽  
Hannah J. Bumgarner ◽  
Anthony R. Cillo ◽  
Ansen H. P. Burr ◽  
Justin T. Tometich ◽  
...  

2021 ◽  
Vol 219 (2) ◽  
Author(s):  
Stephen L. Nutt ◽  
Julie Tellier

The generation of high-affinity antibodies in the germinal center (GC) requires interplay between GC B cells and T follicular helper cells. Rauschmeier et al. (2021. J. Exp. Med.https://doi.org/10.1084/jem.20211406) report that Bhlhe40 restrains GC output through distinct regulatory roles in both arms of the response.


2021 ◽  
Author(s):  
Igor M Rouzine

It remains unclear why HIV persists in most untreated individuals, and why a small minority of individuals can control the virus, either spontaneously or after an early treatment. The present work motivated by the striking differences in the functional avidity of CD4 T cells discovered between patient cohorts in a recent study [1] offers an experimentally–testable mathematical model that explains the diverse outcome of infection. The model predicts an arms race between viral dissemination and the proliferation of HIV-specific CD4 helper cells leading to one of two states: a low-viremia state or a high-viremia state. Helper CD4 cells with a higher avidity favor virus control. The parameter segregating spontaneous and post-treatment controllers is the infectivity asymmetry between activated and resting CD4 T cells. The predictions are found to be consistent with the data from [1] and with data on the avidity CD8 T cells [2]. I also analyze the alternative explanation of T cell exhaustion previously proposed to explain the diverse patient cohorts and demonstrate that it does not explain these and some other experimental data.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Baoen Jiang ◽  
Xiuqin Kang ◽  
Gang Zhao ◽  
Jianshu Lu ◽  
Zhitao Wang

Objective. To study the effect of miR-138 on the function of osteosarcoma (OS) T follicular helper cells (Tfh cells) and its mechanism. Methods. Peripheral blood mononuclear cells (PBMCs) were isolated from patients with osteosarcoma (OS group) and healthy volunteers (control group). CD4+CXCR5+ Tfh cells and CD9+ B cells were sorted by flow cytometry. qRT-PCR was used to detect the expression of miR-138 and PDK1 in the peripheral blood and CD4+CXCR5+ Tfh cells. Flow cytometry was employed to detect the proportion of CD4+CXCR5+ Tfh cells in CD4+ T cells, the level of CD40L in CD4+CXCR5+ Tfh cells, and the expression of CD27 and CD38 in B cells. Western blot was used to determine the protein expression of PDK1, PI3K, p-Akt, Akt, p-mTOR, and mTOR. In addition, dual-luciferase reporter assay was performed to verify the relationship between miR-138 and PDK1. ELISA method was used to determine the levels of IgM, IgG, IL-10, and IL-21. Results. Compared with that of the control group, the expression of miR-138 in PBMC and CD4+CXCR5+ Tfh cells of the OS group was lower; overexpression of miR-138 could promote the maturation of Tfh cells and immature B cells. The results of the dual-luciferase report experiment showed that miR-138 can target and negatively regulate PDK1, and PDK1 can reverse the effect of miR-138 on the function of Tfh cells and immature B cells. Conclusion. miR-138 inhibits the PI3K/Akt/mTOR pathway by targeting and negatively regulating PDK1 to alleviate the dysfunction of T follicular helper cells in OS.


2021 ◽  
Vol 12 ◽  
Author(s):  
Anila Duni ◽  
Georgios S. Markopoulos ◽  
Ioannis Mallioras ◽  
Haralampos Pappas ◽  
Efthymios Pappas ◽  
...  

BackgroundThe humoral and cellular immune responses to SARS-COV-2 vaccination remain to be elucidated in hemodialysis (HD) patients and kidney transplant recipients (KTRs), considering their baseline immunosuppressed status. The aim of our study was to assess the associations of vaccine-induced antibody responses with circulating lymphocytes sub-populations and their respective patterns of alterations in maintenance HD patients and KTRs.Materials and MethodsWe included 34 HD patients and 54 KTRs who received two doses of the mRNA-vaccine BNT162b2. Lymphocyte subpopulations were analyzed by flow cytometry before vaccination (T0), before the second vaccine dose (T1) and 2 weeks after the second dose (T2). The anti-SARS-CoV2 antibody response was assessed at T1 and at T2.Results31 HD patients (91.8%) and 16 KTRs (29.6%) became seropositive at T2. HD patients who became seropositive following the first dose displayed higher CD19+ B lymphocytes compared to their seronegative HD counterparts. A positive correlation was established between CD19+ B cells counts and antibody titers at all time-points in both groups (p < 0.001). KTRs showed higher naïve CD4+CD45RA+ T helper cells compared to HD patients at baseline and T2 whereas HD patients displayed higher memory CD45RO+ T cells compared to KTRs at T2. The naïve CD4+CD45RA to memory CD4+CD45RO+ T helper cells fraction was negatively associated with antibody production in both groups.ConclusionsOur study provides a potential conceptual framework for monitoring vaccination efficacy in HD patients and KTRs considering the correlation established between CD19+ B cells, generation of memory CD4+ T helper cells and anti SARS-CoV2 antibody response to vaccination.


Sign in / Sign up

Export Citation Format

Share Document