Abstract
Background: Polymorphisms of selected inflammatory and metabolic genes have been described in the etiology of chronic rhinosinusitis, and these effects can be explained on a pharmacogenetic basis.
Objective: The purpose of this study was to examine whether there is an association between inflammatory factors and some of these alleles, by associating these genetic variables with each other.
Methods: CYP1A2, CYP2D6, CYP2C19, CYP2C9, CYP3A4, CYP3A5, G6PD, NAT2, UGT1A1, VKORC1, ABCB1, SLCO1B1, APOE, TNF, IL1B, IL6 and IL6R gene polymorphisms were analyzed by PCR. Drug-metabolizing enzymes were classified according to their phenotype. Blood cell counts and biochemical parameters were also considered.
Results: Significant differences were found in the CYP1A2 phenotype, with fewer CYP1A2 normal metabolizers (NMs) expressing sinusitis (14.3% vs 30%) and a greater number of CYP1A2 ultra-rapid-metabolizers (UMs)(85% vs 69%); and in TNF, affecting TNF-A/A (4% vs 2%) and TNF-G/G (78% vs 66%) compared with TNF-G/A (19% vs 32%) carriers. 96% of patients with CRS had at least one G allele. When trigenic variables involved in sinusitis were analyzed, statistical differences were found in SLCO1B1-TNFCYP1A2, with a higher proportion of subjects with 1/1-GG-UM (44.3%); and IL1B-TNFCYP1A2 with CC-GG-UM (26%), CT-GG-UM (19.8%) and CC-GG-NM (13.7%) genophenotypes, respectively. Subjects with sinusitis had a higher eosinophil count (308.80 cel/mcL vs 263.14 cel/mcL) and lower HDL levels (265.34 vs 297.85 mg/dL).
Conclusion: SLCO1B1-TNF-CYP1A2 and IL1B-TNF-CYP1A2 trigenic clusters may condition the chronicity of sinusitis. Eosinophilia and HDL are factors involved in inflammation, and thus in the development of CRS.
Keywords: Sinusitis, genomics, geno-phenotype, CYPs, TNF, Eosinophils, HDL, IL1B, SLCO1B1.
Graphical Abstract
[http://dx.doi.org/10.1111/j.1398-9995.2009.01964.x ] [PMID: 19317839]
[http://dx.doi.org/10.1016/j.jaci.2011.05.022] [PMID: 21704364]
[http://dx.doi.org/10.1001/jama.2015.7544 ] [PMID: 26325561]
[http://dx.doi.org/10.1016/j.otc.2016.08.003] [PMID: 27888907]
[PMID: 29967550]
[http://dx.doi.org/10.1165/rcmb.2015-0207RC] [PMID: 26266960]
[http://dx.doi.org/10.1001/jama.2013.1137 ] [PMID: 23443449]
[http://dx.doi.org/10.1007/s11908-011-0166-z ] [PMID: 21365379]
[http://dx.doi.org/10.1007/s11882-009-0031-4] [PMID: 19348721]
[http://dx.doi.org/10.1016/j.jaci.2013.01.028] [PMID: 23540616]
[http://dx.doi.org/10.1002/lary.20239 ] [PMID: 19405090]
[http://dx.doi.org/10.1155/2016/8413768 ] [PMID: 27143819]
[http://dx.doi.org/10.3389/fimmu.2018.00089] [PMID: 29445375]
[http://dx.doi.org/10.3390/jpm8010003] [PMID: 29301387]
[http://dx.doi.org/10.1093/intimm/dxs162 ] [PMID: 23446846]
[http://dx.doi.org/10.5152/tao.2017.2389 ] [PMID: 29392055]
[http://dx.doi.org/10.1097/00005537-200010000-00027 ] [PMID: 11037831]
[http://dx.doi.org/10.1001/archoto.2009.219 ] [PMID: 20157068]
[http://dx.doi.org/10.5507/bp.2004.001 ] [PMID: 15523539]
[PMID: 8232220]
[http://dx.doi.org/10.1503/cmaj.080285 ] [PMID: 18362382]
[http://dx.doi.org/10.1001/archotol.132.3.285] [PMID: 16549749]
[http://dx.doi.org/10.5415/apallergy.2019.9.e22]] [PMID: 31384577]
[http://dx.doi.org/10.1016/S0091-6749(97)70151-9 ] [PMID: 9338553]
[http://dx.doi.org/10.7860/JCDR/2017/25320.9445 ] [PMID: 28384896]
[http://dx.doi.org/10.1016/j.tcm.2005.05.008] [PMID: 16099381]
[http://dx.doi.org/10.1016/S0140-6736(19)31881-1 ] [PMID: 31543428]