| Literature DB >> 30088375 |
Minoru Gotoh1,2, Osamu Kaminuma3,4, Takachika Hiroi3, Kimihiro Okubo1,3.
Abstract
Sublingual immunotherapy (SLIT) is an effective treatment for allergic diseases. However, the mechanism by which this therapy exhibits its efficacy has not been fully delineated. To elucidate the mechanisms of SLIT in the treatment of cedar pollinosis (CP), we performed a multivariate analysis of microarray data on mRNA expression in CD4⁺ T cells and basophils. Although 2-year treatment with SLIT using cedar extracts was effective in >70% of patients with CP, the remaining patients did not respond to this therapy. The mRNA expression levels in peripheral CD4⁺ T cells and basophils from both high- and non-responder patients before and after undergoing SLIT were comparatively studied using microarray analysis. By processing the data using serial multivariate analysis, an apoptosis pathway was extracted in both CD4⁺ T cells and basophils. Conclusively, the strong treatment effectiveness of SLIT in patients with CP may be caused by the induction of apoptosis in CD4⁺ T cells and basophils in these patients (Trial registry at University Hospital Medical Information Network Clinical Trials Registry Database, UMIN000016532).Entities:
Keywords: Allergic rhinitis; cytokines; immunoglobulin E
Year: 2018 PMID: 30088375 PMCID: PMC6082820 DOI: 10.4168/aair.2018.10.5.562
Source DB: PubMed Journal: Allergy Asthma Immunol Res ISSN: 2092-7355 Impact factor: 5.764
Top 10 list of GO process networking molecules differentially expressed in CD4+ T cells of HR patients between before and after SLIT
| Name | GO process | G-score |
|---|---|---|
| Caspase-10, Apo-2L (TNFSF10), Acinus, TRUNDD (TNFRSF10D), Aif | Regulation of cysteine-type endopeptidase activity involved in apoptotic process | 1,680.23 |
| Regulation of cysteine-type endopeptidase activity | ||
| Apoptotic process | ||
| Programmed cell death | ||
| Cell death | ||
| CDK2, HDAC1, sIL6-RA, Zac1, CDK10 | - | 47.49 |
| COQ9, FLJ10707, Monad, KIAA0152, Tbc1d13 | - | 28.51 |
| PS1D, Trim52, Ttc15, FAM62A, COPS7A | - | 26.97 |
| RDH11, KCNAB2, ANKS1, NFATC2IP, M-RIP | - | 21.94 |
| C11orf61, PREB, NDUFV3, BBS6, TBC1D2B | - | 21.47 |
| PMS2L5, Slc39a14 (Zip14), Paraplegin, ES1, MGC16025 | - | 21.24 |
| POGZ, ZNF235, DNA polymerase eta, PI3K reg class III (p150), INPP4A | - | 20.07 |
| PLC-gamma 1, PIGM, PMP34, DHB4, XYLT2 | - | 19.74 |
| ACAD-9, HCDH, NDUFAF1, ATP10D, DHX38 | - | 19.42 |
The predicted GO processes were only shown for the highest G-score networking molecules (MetaCore™ version 6.24, build 67895).
GO, gene ontology; HR, high-responders; SLIT, sublingual immunotherapy; TRUNDD, tumor necrosis factor-related apoptosis-inducing ligand receptor with a truncated death domain; TNFRSF10D, tumor necrosis factor receptor superfamily member 10D.
FigureThe pathway in CD4+ T cells and basophils that is expected to be related to the efficacy of SLIT. The candidate markers extracted from CD4+ T cells (A) as shown in Supplementary Fig. S1 that may distinguish HRs before and after undergoing SLIT and those from basophils (B) as shown in Supplementary Fig. S2 that may distinguish HRs and NRs after undergoing SLIT were processed for pathway analysis using the MetaCore™ software. The most reliable pathway, wherein the extracted markers are connected by a bold line, is shown.
SLIT, sublingual immunotherapy; HR, high-responders; NR, non-responders.
Top 10 list of GO process networking molecules differentially expressed in basophils after SLIT between HR and NR patients
| Name | GO process | G-score |
|---|---|---|
| TNF-R1, tBid, RAGE, Bid, Caspase-3 | Apoptotic process | 133.08 |
| Programmed cell death | ||
| Regulation of apoptotic process | ||
| Regulation of programmed cell death | ||
| Cell death | ||
| StARD5, MTND2, Lunatic fringe, FAM78A, ZNF174 | - | 42.19 |
| VAMP1, SZT2, PIKE (CENTG1), TFIIIC110, ZNF526 | - | 37.28 |
| Lunatic fringe, Fringe, Radical fringe, Manic fringe glycosyltransferase | - | 37.02 |
| PNUTS, DATF1, FIC1, Diacylglycerol kinase, zeta, CREB1 | - | 32.62 |
| TNF-R1, EGLN2, E4F1, RFC1, GPAM10 | - | 31.59 |
| IL-17 receptor, ITGA5, CCDC142, Bystin, USP19 | - | 31.27 |
| RFP, GSTM2, ZFP276, HSPA1B, E4F1 | - | 26.30 |
| Zibra, Bid, MKP-X, Dcp1b, USP11 | - | 26.30 |
| ITGA5, ETS2, ETS, PUR-alpha, HSP70 | - | 26.03 |
The predicted GO processes were only shown for the highest G-score networking molecules (MetaCore™ version 6.24, build 67895).
GO, gene ontology; SLIT, sublingual immunotherapy; HR, high-responders; NR, non-responders.