| Literature DB >> 28116319 |
Kristien Van Belle1, Jean Herman2, Louis Boon3, Mark Waer1, Ben Sprangers4, Thierry Louat1.
Abstract
B cell specific immunomodulatory drugs still remain an unmet medical need. Utilisation of validated simplified in vitro models would allow readily obtaining new insights in the complexity of B cell regulation. For this purpose we investigated which human B lymphocyte stimulation assays may be ideally suited to investigate new B lymphocyte immunosuppressants. Primary polyclonal human B cells underwent in vitro stimulation and their proliferation, production of immunoglobulins (Igs) and of cytokines, and expression of cell surface molecules were analysed using various stimuli. ODN2006, a toll-like receptor 9 (TLR9) agonist, was the most potent general B cell stimulus. Subsequently, we investigated on which human B cell lines ODN2006 evoked the broadest immunostimulatory effects. The Namalwa cell line proved to be the most responsive upon TLR9 stimulation and hence may serve as a relevant, homogeneous, and stable B cell model in an in vitro phenotypic assay for the discovery of new targets and inhibitors of the B cell activation processes. As for the read-out for such screening assay, it is proposed that the expression of activation and costimulatory surface markers reliably reflects B lymphocyte activation.Entities:
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Year: 2016 PMID: 28116319 PMCID: PMC5220478 DOI: 10.1155/2016/5281823
Source DB: PubMed Journal: J Immunol Res ISSN: 2314-7156 Impact factor: 4.818
Immune effects at various time points after initiation of stimulation.
| Stimulus | Read-out | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CD40 | CD69 | CD70 | CD80 | CD83 | CD86 | MHC I | MHC II | IL6 | IL8 | Proliferation | IgG | IgM | |
| 24 hours | 2 days | 3 days | 7 days | ||||||||||
| TNP-Ficoll | + | + | + | + | + | + | + | + | + | + | + | + | + |
| TNP-BSA | + | ++ | + | + | + | + | ++ | + | ++ | +++ | ++ | ++ | ++ |
| Anti-IgM | + | ++ | + | + | ++ | + | + | + | + | + | + | + | NA |
| Anti-IgM | ++ | +++ | + | + | +++ | + | + | + | +++ | + | +++ | ++ | NA |
| Anti-CD40 | NA | ++ | + | + | ++ | ++ | + | + | + | + | + | ++ | + |
| Anti-CD40 | NA | +++ | + | ++ | +++ | +++ | + | + | +++ | + | +++ | ++ | +++ |
| Anti-CD40 | NA | +++ | + | ++ | + | +++ | ++ | + | + | + | +++ | +++ | +++ |
| IL21 | + | +++ | + | + | + | + | + | + | + | + | + | ++ | ++ |
| LPS | + | + | + | + | ++ | + | + | + | ++ | ++ | + | + | + |
| Resiquimod | +++ | +++ | ++ | ++ | ++ | +++ | + | + | +++ | +++ | ++ | ++ | +++ |
| ODN2006 | +++ | +++ | ++ | +++ | +++ | +++ | ++ | + | +++ | ++ | +++ | +++ | +++ |
| Pansorbin | + | +++ | +++ | ++ | +++ | +++ | + | + | +++ | +++ | +++ | +++ | +++ |
| Pokeweed | + | + | + | + | + | + | + | + | ++ | +++ | ++ | + | +++ |
In four independent experiments, different in vitro stimulatory conditions were tested on freshly isolated human B cells; the strength of their effect on proliferation, Ig and cytokine production, and expression of cell surface markers is represented in the table (+++ = strong effect, ++ = moderate effect, + = weak effect, and NA = not analysed). For the definition of weak, moderate, or strong effect, see Section 2.
Figure 1Flow cytometry analysis of cell surface markers on human B cell lines after stimulation with 0.1 μM ODN2006 for 24 hours. This graph is a representative of three independent experiments. Each colored line in the graph represents a human B cell line and displays the change in expression (MFI, y-axis) of the different cell surface markers (marker, x-axis) between naive (“−,” x-axis) and ODN2006-stimulated (“+,” x-axis) cells.
Figure 2Comparative flow cytometric analysis of cell surface markers shows a close resemblance in expression profile between human peripheral B cells and Namalwa. The histogram plots from one out of four independent experiments show the expression of the cell surface markers before (grey region) and after 24 hours of stimulation (black line) with 0.1 μM ODN2006. Comparison of activation marker upregulation on B cells versus Namalwa was performed by t-test analysis of induction ratios for each marker from four independent experiments.
Characterization of pharmacological inhibitors in phenotypic assays.
| Chemical | Target | PBMC | Primary B cell | Namalwa | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| MLR | IgG production | Viability WST-1 | CD40 | CD69 | CD70 | CD80 | CD83 | CD86 | ||
| Bortezomib | Proteasome: 30–100 | 35 | 90 | 10 | — | — | — | — | — | — |
| Ibrutinib | BTK: 0.5 | 4 000 | <1 | 1 800 | 690 | ↗ | 670 | >3 000 | 730 | <30 |
| Chloroquine | TLR 3, 7, 8, and 9: 560 | >10 000 | 95 | >10 000 | 70 | 90 | 1 000 | 60 | 210 | <30 |
| Dasatinib | SRC: 0.55 | 15 | 55 | 20 | — | — | — | — | — | — |
| LY-294,002 hydrochloride | PI3K: 3 000 | 5 100 | 670 | 4 600 | 2 800 | >3 000 | 2 500 | 2 200 | >3 000 | 450 |
| MK-2206 2HCl | AKT1/2/3: 8/12/65 | 3 500 | 25 | 2 700 | 1 500 | ↗ | 1 200 | 1 100 | 120 | <30 |
| AZD-5363 | AKT1/2/3: 3/7/7 | 2 600 | 600 | 3 000 | 1 500 | ↗ | 850 | >3 000 | 2 200 | <30 |
| TPCA-1 | IKK-2: 17.9 | 360 | 450 | 2 800 | 210 | 550 | 480 | 700 | 550 | <30 |
| STAT3 inhibitor VII | STAT3: 170 | 8 500 | >10 000 | >10 000 | >3 000 | >3 000 | >3 000 | 2 800 | >3 000 | 1 000 |
| SAHA | Class I & II histone deacetylase (HDAC): <86 | 5 000 | 440 | 2 100 | >3 000 | ↗ | >3 000 | 1 300 | >3 000 | >3 000 |
| Mirin | Mre11-Rad50-Nbs1 (MRN) complex (DNA-repair) | >10 000 | 1 400 | >3 000 | >3 000 | >3 000 | >3 000 | >3 000 | >3 000 | >3 000 |
The table shows the IC50 (nM) of the inhibitors on the molecular target and in the different phenotypic assays: MLR with human PBMCs, IgG production by human B cell stimulated by ODN2006, and surface markers expression on ODN2006-stimulated Namalwa. Cytotoxic counterscreen (WST-1) was performed on Namalwa cells. ↗: indicates an increase in expression.