| Literature DB >> 35964023 |
Adam Biczo1,2, Ferenc Bereczki1,2, Kristóf Koch1,2, Peter Pal Varga2, Aron Lazary3,4.
Abstract
BACKGROUND: Successfully surgically treating degenerative disc diseases can be challenging to the spine surgeons, the long-term outcome relies on both the physical and mental status of the patient before and after treatment. Numerous studies underlined the role of inflammatory cytokines - like interleukin 1B and 6 - in the development of chronic diseases such as failed back surgery syndrome (FBSS) and major depressive disorder (MDD) which alter the outcome after spinal surgery. Our aim was to evaluate the associations of IL6 and IL1B gene polymorphisms with the long-term outcome of degenerative lumbar spine surgeries.Entities:
Keywords: Degenerative disc diseases; Interleukins; Long term outcome; Single nucleotide polymorphism
Mesh:
Substances:
Year: 2022 PMID: 35964023 PMCID: PMC9375337 DOI: 10.1186/s12891-022-05711-0
Source DB: PubMed Journal: BMC Musculoskelet Disord ISSN: 1471-2474 Impact factor: 2.562
The descriptive statistics of the genotyped SNPs
| Gene | rs number | Position | Alleles | Major allele frequency % | HWE | missing (%) |
|---|---|---|---|---|---|---|
| IL1B | rs3917365 | 3’ UTR | C/T | 91.5 | 0.344 | 0.2 |
| IL1B | rs1143634 | Exon 5 | C/T | 73.7 | 1.000 | 0.5 |
| IL1B | rs1143633 | Intron 4 | G/A | 65.1 | 0.521 | 1.2 |
| IL1B | rs1143627 | Promoter | T/C | 65.6 | 0.914 | 0.2 |
| IL1B | rs16944 | Promoter | G/A | 65.8 | 1.000 | 2.1 |
| IL6 | rs2069852 | 3’ UTR | G/A | 95.1 | 0.613 | 0 |
| IL6 | rs2069861 | 3’ UTR | C/T | 93.6 | 0.688 | 0.5 |
| IL6 | rs2069835 | Intron | T/C | 92.7 | 0.264 | 1.4 |
| IL6 | rs1800796 | Promoter | G/C | 93.4 | 1.000 | 1.2 |
The descriptive statistics of the genotyped SNPs, HWE: Hardy-Weinberg equilibrium
Fig. 1Linkage disequilibrium (LD) map of IL1B (A) and IL6 (B) SNPs. Squares are colored darker if the |D’| value is high, that is, LD is strong. Empty dark squares mean |D’|=1, that is, complete LD between two single nucleotide polymorphisms
Associations of IL1B and IL6 gene variants with preoperative PROMs
| SNP | Genotype | Preop ZDS | Preop MSPQ | ||||||
|---|---|---|---|---|---|---|---|---|---|
| (N) | Mean | Mean | Mean+SD | Mean+SD | |||||
| IL1B_rs3917365 | C/C (358) T/C (71) T/T (1) | 39.5+8.2 39.6+7.1 63 | 8.3+5.8 8.2+4.9 22 | 47.5+18.7 47.1+16.7 60 | 7.2+2.0 7.2+1.9 8 | ||||
| IL1B_rs1143634 | C/C (233) C/T (166) T/T (31) | 39.0+7.8 40.7+8.4 38.4+7.9 | 8.2+5.7 8.3+5.3 9.3+7.4 | 47.1+17.9 47.7+19.0 48.3+18.5 | 7.3+1.9 7.1+2.0 7.0+2.1 | ||||
| IL1B_rs1143633 | G/G (184) A/G (187) A/A (41) | 39.4+8.1 39.9+7.8 39.7+9.0 | 8.6+5.6 7.9+5.4 8.9+6.9 | 47.1+17.9 47.4+19.2 47.6+16.0 | 7.1+2.0 7.3+1.8 7.4+2.0 | ||||
| IL1B_rs1143627 | T/T (184) T/C (196) C/C (50) | 40.6+8.7 39.2+7.3 38.0+8.0 | 8.0+5.5 8.5+5.8 8.6+5.6 | 48.8+18.2 46.0+18.8 48.3+16.9 | 7.1+2.1 7.3+1.8 7.2+2.2 | ||||
| IL1B_rs16944 | G/G (182) A/G (191) A/A (49) | 40.6+8.8 39.2+7.3 38.0+8.0 | 8.0+5.5 8.5+5.9 8.5+5.6 | 48.6+18.2 46.3+19.0 48.5+17.0 | 7.1+2.1 7.3+1.8 7.3+2.2 | ||||
| IL6_rs2069852 | G/G (389) G/A (42) A/A (0) | 39.7+8.0 39.1+8.7 - | 8.4+5.8 7.0+4.4 - | 47.2+18.3 59.8+18.5 - | 7.2+2.0 7.1+2.0 - | ||||
| IL6_rs2069861 | C/C (376) T/C (51) T/T (2) | 39.7+8.0 39.4+8.5 33.5+0.7 | 8.5+5.8 7.3+4.7 n/a | 47.9+18.5 43.5+16.2 26+25.5 | 7.2+1.9 7.1+2.1 5.4+4.2 | ||||
| IL6_rs2069835 | C/C (4) T/C (54) T/T (367) | 45.3+10.1 42.2+9.2 39.2+7.8 | 10.0+10.7 10.2+6.9 8.0+5.3 | 39.5+31.8 48.5+18.4 47.2+18.2 | 8.1+1.3 7.2+1.6 7.2+2.0 | ||||
| IL6_rs1800796 | G/G (371) G/C (54) C/C (1) | 39.8+8.0 38.4+8.6 40 | 8.5+5.7 6.8+4.7 14 | 47.0+18.1 50.2+19.3 40 | 7.2+2.0 7.1+1.9 4.4 |
*: significant in dominant model, **: significant in overdominant model, †: significant in codominant model, ‡: significant in recessive model, ƒ: significant in log-additive model
Associations of IL1B and IL6 gene variants with postoperative outcome
| SNP | Genotype | dODI | dPAIN | GTO | Surgical outcome | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| (N) | Mean | Mean | good | poor | good | poor | ||||||
| IL1B_rs3917365 | C/C (358) T/C (71) T/T (1) | 23.1+23.6 24.5+22.23 2.2 | -3.3+3.2 -3.7+3.3 -2.2 | 269 (76.2%) 50 (83.3%) NA | 84 (13.8%) 10 (16.4%) NA | 321 (89.6%) 64 (90.1%) 1 | 37 (10.4%) 7 (9.9%) 0 | |||||
| IL1B_rs1143634 | C/C (233) C/T (166) T/T (31) | 23.2+23.2 22.6+23.4 27.3+25.1 | -3.6+3.2 -3.1+3.3 -3.4+3.3 | 175 (83.0%) 119 (80.0%) 24 (80%) | 36 (17.0%) 30 (20.0%) 6 (20%) | 212 (90.99%) 146 (87.95%) 27 (90%) | 21 (9.01%) 20 (12.05%) 3 (10%) | |||||
| IL1B_rs1143633 | G/G (184) A/G (187) A/A (41) | 22.4+.22.2 23.2+24.8 25.2+21.2 | -2.9+3.2 -3.6+3.3 -4.1+3.2 | 136 (82.0%) 138 (80.7%) 44 (84.6%) | 30 (18.0%) 33 (19.3%) 8 (16.4%) | 166 (90.3%) 165 (88.2%) 52 (94.5%) | 18 (9.7%) 22 (11.8%) 3 (5.5%) | |||||
| IL1B_rs1143627 | T/T (184) T/C (196) C/C (50) | 24.4+24.0 22.0+23.6 24.3+20.4 | -3.4+3.4 -3.3+3.0 -3.4+3.5 | 135 (78.0%) 144 (83.2%) 40 (88.9%) | 38 (22.0%) 29 (16.8%) 5 (11.1%) | 167 (90.8%) 174 (88.7%) 45 (90%) | 17 (9.2%) 22 (11.3%) 5 (10%) | |||||
| IL1B_rs16944 | G/G (182) A/G (191) A/A (49) | 24.1+24.0 22.2+23.7 24.2+20.6 | -3.4+3.5 -3.3+3.0 -3.4+3.5 | 144 (79.1%) 155 (82.9%) 42 (89.4%) | 38 (20.9%) 32 (17.1%) 5 (10.6%) | 165 (90.66%) 169 (88.5%) 44 (89.8%) | 17 (9.34%) 22 (11.5%) 5 (10.2%) | |||||
| IL6_rs2069852 | G/G (389) G/A (42) A/A (0) | 22.9+23.0 26.3+26.5 - | -3.4+3.2 -3.3+3.4 | 292 (82.5%) 28 (73.7%) 0 | 62 (17.5%) 10 (22.3%) 0 | 346 (88.9%) 41 (97.6%) | 43 (11.1%) 1 (3.4%) | |||||
| IL6_rs2069861 | C/C (376) T/C (51) T/T (2) | 23.7+23.7 21.1+21.3 13+12.7 | -3.3+3.3 -3.5+2.9 -2.4+5.7 | 278 (81.3%) 39 (86.6%) 2 | 65 (18.7%) 6 (13.4%) 0 | 334 (88.8%) 50 (98%) 1 (50%) | 42 (11.2%) 1 (2%) 1 (50%) | |||||
| IL6_rs2069835 | C/C (4) T/C (54) T/T (367) | 5.1+9.7 19.9+21.6 23.9+23.5 | -4.2+3.0 -2.9+3.1 -3.4+3.2 | 3 (75%) 36 (79.5%) 277 (83.1%) | 1 (25%) 13 (20.5%) 56 (16.9%) | 2 (50%) 46 (85.2%) 334 (88.7%) | 2 (50%) 8 (14.8%) 33 (8.9%) | |||||
| IL6_rs1800796 | G/G (371) G/C (54) C/C (1) | 22.7+22.8 25.7+26.4 32 | -3.4+3.2 -3.4+3.4 -1.8 | 279 (82.5%) 36 (75.0%) 1 | 59 (17.5%) 12 (25.0%) 0 | 329 (88.7%) 53 (98%) 1 | 42 (11.3%) 1 (2%) 0 | |||||
*: significant in dominant model, **: significant in overdominant model, †: significant in codominant model, ‡: significant in recessive model, ƒ: significant in log-additive model
Fig. 2Preoperative pain in microdiscectomy subgroup (mean ±SD)
IL1B haplotype association (GLM and hapscore) with the change in pain after surgery
| Change in max pain GLM model | |||||
|---|---|---|---|---|---|
| Haploblock | Haplotype | Haplotype frequency | diff (95% CI) | hap score | |
| IL1B rs1143634-rs1143633 | C-A T-G C-G | 0.34 0.25 0.38 | -0.7 (-1.2 – (-)0.3) -0.2 (-0.7 – 0.3) -3.8 (reference) | -2.46742 1.59408 0.38051 | |
aglobal p-value: 0.051