Association of cytokine/costimulatory molecule polymorphism and allograft rejection: a comparative review

Karimi, Mohammad Hossein; Ebadi, Padideh; Pourfathollah, Ali Akbar

doi:10.1586/1744666x.2013.844462

Cited by 6 publications

(5 citation statements)

References 105 publications

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“…IL-10 is encoded by IL-10 gene located on chromosome 1, while its promoter is a highly polymorphic region. 8 The promoter of the IL-10 gene contains three biallelic polymorphisms at positions -1082 (base G to A, dbSNP no. rs1800896), -819 (base C to T, dbSNP no.…”

Section: Introductionmentioning

confidence: 99%

Interleukin-10-1082 G/a polymorphism and acute renal graft rejection: a meta-analysis

Tian

et al. 2015

Renal Failure

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Section: Introductionmentioning

confidence: 99%

Interleukin-10-1082 G/a polymorphism and acute renal graft rejection: a meta-analysis

Tian

et al. 2015

Renal Failure

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“…T lymphocytes express CD28, and antigen-presenting cells express CD80 and B7-2 CD86 (Pasquini et al, 1997). A previous study has discovered the potential application of the cell costimulatory molecule OX40 and its homologous ligand OX40L in autoimmune diseases and cancer immunotherapy (Karimi et al, 2013). In addition, when combined with other therapy, including anti-PD-1, anti-CTLA-4 therapy, cytokines, chemotherapy, or radiotherapy, the antitumor activity of anti-OX40 treatment will be further enhanced (Wei et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Identification of Costimulatory Molecule–Related lncRNAs Associated With Gastric Carcinoma Progression: Evidence From Bioinformatics Analysis and Cell Experiments

et al. 2022

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Costimulatory molecules (CMGs) play essential roles in multiple cancers. However, lncRNAs regulating costimulatory molecules have not been fully explored in gastric cancer (GC). Public data of GC patients were obtained from The Cancer Genome Atlas database. R software v4.1.1, SPSS v13.0, and GraphPad Prism 8 were used to perform all the analyses. The Limma package was used for differential expression analysis. The survival package was used for patient prognosis analysis. The gene set enrichment analysis (GSEA), gene ontology (GO), and the Kyoto encyclopedia of genes and genomes (KEGG) analysis were used for pathway enrichment analysis. qRT-PCR was used to detect the RNA level of target lncRNA. CCK-8 and colony formation assay were used to assess the proliferation ability of GC cells. The transwell assay was used to evaluate the invasion and migration ability of GC cells. We first identified CMG-related lncRNAs (CMLs) through co-expression analysis. Then, an eight-CML-based signature was constructed to predict patient overall survival (OS), which showed satisfactory predictive efficiency (the training cohort: 1-year AUC = 0.764, 3-year AUC = 0.810, 5-year AUC = 0.840; the validation cohort: 1-year AUC = 0.661, 3-year AUC = 0.718, 5-year AUC = 0.822). The patients in the high-risk group tend to have a worse prognosis. GSEA showed that epithelial–mesenchymal transition, KRAS signaling, and angiogenesis were aberrantly activated in high-risk patients. GO and KEGG analyses indicated that the biological difference between high- and low-risk patients was mainly enriched in the extracellular matrix. Immune infiltration analysis showed that macrophages (M1 and M2), dendritic cells, monocytes, Tregs, and T regulatory cells were positively correlated with the risk scores, partly responsible for the worsening OS of high-risk patients. Finally, lncRNA AP000695.2 was selected for further experiments. The result showed that AP000695.2 was upregulated in GC cell lines and could facilitate the proliferation, invasion, and migration of GC cells. In summary, this study established an effective prognosis model based on eight CMLs, which would be helpful for further therapy options for cancer. Also, we found that AP000695.2 could promote GC cell malignant phenotype, making it an underlying therapy target in GC.

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“…[16][17][18] It is proposed that cytokine SNPs analysis can help improve the medication design and the graft outcome after transplantation. 19 Consequently, we profiled the distribution of cytokine polymorphism in the LTRs in the Chinese population.…”

Section: Introductionmentioning

confidence: 99%

High-resolution melting PCR analysis for genotyping the gene polymorphism of TNF-α, TGF-β1, IL-10, and IFN-γ in lung transplant recipients

Mu¹,

Zou²,

Ji³

et al. 2022

Adv Clin Exp Med

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Background. High-resolution melting (HRM) analysis is a genotyping method which has the advantages of simple, rapid, low-cost and closed-tube operation.Objectives. This study evaluated HRM analysis as an option for detecting the single nucleotide polymorphism (SNP) of cytokine, and profiled the distribution of cytokine gene polymorphism in the lung transplant recipients (LTRs). Materials and methods.High-resolution melting-polymerase chain reaction (HRM-PCR) assays for genotyping tumor necrosis factor alpha (TNF-α) (-308 A/G), tumor growth factor beta 1 (TGF-β1) (+869 T/C), interleukin 10 (IL-10) (-592 C/A, -819 T/C, -1082 G/A), and interferon gamma (IFN-γ) (+874 T/A) SNPs were developed on the LightCycler® 480. The SNPs of the aforementioned cytokine genes in 322 LTRs and 266 normal controls were detected using HRM-PCR approach. To confirm the accuracy of the HRM-PCR assay, we randomly selected 100 samples from the LTRs and detected the aforementioned SNPs with sequencespecific primer-polymerase chain reaction (SSP-PCR) method, using a commercial kit.Results. The data show that the HRM-PCR assay can distinguish all the cytokine SNPs, and the results of HRM-PCR analysis are in complete concordance to the genotyping results obtained using a commercial kit (κ = 1.0). Our data also show that the allele and genotype frequencies of the abovementioned cytokine are not significantly different between the LTRs and the control groups (p > 0.05). In addition, we found the genotypes of TGF-β1 +869 associated with high expression phenotype were prevalent in the LTRs. On the contrary, for TNF-α -308, IL-10 and IFN-γ, the genotypes associated with low expression phenotype were most common in the LTRs. Conclusions.In this study, we described a rapid, low-cost and high-throughput HRM-PCR technology for genotyping cytokine SNPs. Our data may be utilized for future studies examining the associations of cytokine gene polymorphisms with the prognosis of the LTRs.

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Association of cytokine/costimulatory molecule polymorphism and allograft rejection: a comparative review

Cited by 6 publications

References 105 publications

Interleukin-10-1082 G/a polymorphism and acute renal graft rejection: a meta-analysis

Interleukin-10-1082 G/a polymorphism and acute renal graft rejection: a meta-analysis

Identification of Costimulatory Molecule–Related lncRNAs Associated With Gastric Carcinoma Progression: Evidence From Bioinformatics Analysis and Cell Experiments

High-resolution melting PCR analysis for genotyping the gene polymorphism of TNF-α, TGF-β1, IL-10, and IFN-γ in lung transplant recipients

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