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BACKGROUND: The lack of reliable biomarkers in response to anti-TNFα biologicals hinders personalized therapy for Crohn's disease (CD) patients. The motivation behind our study is to shift the paradigm of anti-TNFα biomarker discovery toward specific immune cell sub-populations using single-cell RNA sequencing and an innovative approach designed to uncover PBMCs gene expression signals, which may be masked due to the treatment or ongoing inflammation; Methods: The single-cell RNA sequencing was performed on PBMC samples from CD patients either naïve to biological therapy, in remission while on adalimumab, or while on ustekinumab but previously non-responsive to adalimumab. Sieves for stringent downstream gene selection consisted of gene ontology and independent cohort genomic profiling. Replication and meta-analyses were performed using publicly available raw RNA sequencing files of sorted immune cells and an association analysis summary. Machine learning, Mendelian randomization, and oligogenic risk score methods were deployed to validate DEGs highly relevant to anti-TNFα therapy response; Results: This study found PLCB1 in CD4+ T cells and CRTAM in double-negative T cells, which met the stringent statistical thresholds throughout the analyses. An additional assessment proved causal inference of both genes in response to anti-TNFα therapy; Conclusions: This study, jointly with an innovative design, uncovered novel candidate genes in the anti-TNFα response landscape of CD, potentially obscured by therapy or inflammation.
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AIMS: Understanding of the molecular mechanisms of anti-TNFα therapy non-response and reliable biomarkers are essential for personalized medicine in Crohn's disease (CD) patients. Using RNA-seq data adjusted for deconvoluted fractions of peripheral blood cells, we recently described MMD gene, coding for a monocyte to macrophage differentiation factor, as a biomarker of adalimumab (anti-TNFα) therapy response in CD. The results also suggest that cell subtype-specific biomarkers may be superior to those measured in bulk peripheral blood. Here, we used functional cell model to further investigate the role of the monocyte to macrophage differentiation in adalimumab treatment response and evaluate monocyte/macrophage specific expression of the inflammatory cytokines as potential biomarkers for (non)response to adalimumab in CD patients. MAIN METHODS: The peripheral monocytes of CD patients responsive and non-responsive to adalimumab were isolated, differentiated into macrophages, and exposed to inflammation and concurrent adalimumab therapy in vitro. The results were correlated to the clinical response of the donor patients. KEY FINDINGS: Correlation is shown of the expression of two macrophage differentiation related genes- CD68 and MMD, with the expression of the inflammatory cytokines TNF, IL1B, IL6 and CXCL8. Monocytes and in vitro differentiated macrophages of adalimumab non-responders express more inflammatory cytokines than those of responders. The biggest difference was in the IL1B expression. Additionally, IL1B expression in the in vitro differentiated macrophages of CD patients correlates negatively with their clinical response to adalimumab. SIGNIFICANCE: We propose the IL1B expression in the macrophages as a possible biomarker for adalimumab response in CD patients.
Asunto(s)
Enfermedad de Crohn , Humanos , Adalimumab/farmacología , Adalimumab/uso terapéutico , Enfermedad de Crohn/tratamiento farmacológico , Leucocitos Mononucleares , Citocinas , Biomarcadores , Interleucina-1betaRESUMEN
AIM: To see if SNPs could help predict response to biological therapy using adalimumab (ADA) in Crohn's disease (CD). MATERIALS & METHODS: IBDQ index and CRP levels were used to monitor therapy response. We genotyped 31 CD-associated genes in 102 Slovenian CD patients. RESULTS: The strongest association for treatment response defined as decrease in CRP levels was found for ATG16L1 SNP rs10210302. Additional SNPs in 7 out of 31 tested CD-associated genes (PTGER4, CASP9, IL27, C11orf30, CCNY, IL13, NR1I2) showed suggestive association with ADA response. CONCLUSION: Our results suggest ADA response in CD patients is genetically predisposed by SNPs in CD risk genes and suggest ATG16L1 as most promising candidate gene for drug response in ADA treatment. Original submitted 24 September 2014; Revision submitted 1 December 2014.