Objective:To verify the determination method of iodine in serum by inductively coupled plasma mass spectrometry (ICP-MS) and to evaluate the consistency between ICP-MS and As 3+-Ce 4+ catalytic spectrophotometry in determination of serum iodine. Methods:Serum iodine concentration was determined by ICP-MS, 187Re was used as an internal standard, and ralated parameters were optimized. Eighty-eight serum samples were simultaneously determined by ICP-MS and As 3+-Ce 4+ catalytic spectrophotometry, and the evaluation indexes included determination range of standard curve, detection limit, precision, accuracy. In addition, we also evaluated the consistency of the two methods through inter-group correlation analysis, intra-group correlation coefficient analysis, Passing-Bablok regression and Bland-Altman analysis. Results:The linear range of ICP-MS standard curve was 0 - 300 μg/L. There was a good linear correlation between iodine concentration value and iodine response value, and the correlation coefficient range was 0.999 8 to 0.999 9. The detection limit of the ICP-MS method was 1.96 μg/L. The relative standard deviation ( RSD) ranged from 0.2% to 1.4% and from 0.4% to 1.8% for intra and inter-batch precision tests of serum samples. The recovery rate ranged from 90.44% to 108.71%. The correlation analysis of 88 serum samples showed that there was a good correlation between the two methods ( r = 0.934, P < 0.05), and the intra-class correlation coefficient was 0.932. The results of Passing-Bablok regression showed that there was no significant difference between the two methods ( P > 0.05). Bland-Altman diagram suggested that the results of the two methods were consistent. Conclusions:ICP-MS method has low detection limit, high precision and accuracy. ICP-MS method is simple, rapid, easy and suitable for determination of iodine in large quantities of serum samples. The results of the two methods for determining serum iodine are consistent.

Objective:To clarify the relationship between interleukin (IL)-6, IL-10 gene polymorphisms and autoimmune thyroid disease (AITD).Methods:Literature search was conducted through databases such as PubMed, Web of Science, CNKI, Embase, Wanfang Database and VIP.com, and domestic and foreign literatures related to IL-6, IL-10 gene polymorphisms and AITD were included in the study. The time limit was from the self-built of the databases to July 2021. Meta-analysis was performed with STATA 16.0 software, the odds ratio ( OR) and 95% confidence interval ( CI) were used as effect indicators, random-effect or fixed-effect model was selected according to the heterogeneity results, and the source of heterogeneity was explored through subgroup analysis. Publication bias was assessed using funnel plots and Egger's test. Results:Finally, 19 literatures were included, all in English. There were 12 studies on IL-6 genes and 11 studies on IL-10 genes, including 4 studies on both IL-6 and IL-10 genes. In the whole population, the loci associated with AITD were IL-6 -174 G/C site (GG vs CC + GC: OR =1.94, 95% CI = 1.01 - 3.76), IL-6 -572 G/C site (GG + GC vs CC: OR = 0.49, 95% CI = 0.29 - 0.84; GG vs CC + GC: OR = 0.76, 95% CI = 0.60 - 0.96; GG + CC vs GC: OR = 0.63, 95% CI = 0.49 - 0.81), IL-10 -819 T/C site (TT + TC vs CC: OR = 1.84, 95% CI = 1.01 - 3.34; T vs C: OR = 1.59, 95% CI = 1.00 - 2.51), and IL-10 -1 082 A/G site (AA + AG vs GG: OR = 0.77, 95% CI = 0.64 - 0.92; AA vs GG + AG: OR = 2.03, 95% CI = 1.16 - 3.58; A vs G: OR = 0.76, 95% CI = 0.61 - 0.94). The results of subgroup analysis showed that in Asian population, the loci associated with AITD were IL-6 -174 G/C site (GG vs CC + GC: OR = 4.61, 95% CI = 1.11 - 19.23; G vs C: OR = 0.65, 95% CI = 0.44 - 0.97); IL-6 -572 G/C site (GG vs CC + GC: OR = 0.64, 95% CI = 0.41 - 0.99; GG + CC vs GC: OR = 0.60, 95% CI = 0.38 - 0.94); IL-10 -819 T/C site (TT + TC vs CC: OR = 2.51, 95% CI = 1.48 - 4.25; T vs C: OR = 1.91, 95% CI = 1.05 - 3.46); and IL-10 -1 082 A/G site (AA + AG vs GG: OR = 0.66, 95% CI = 0.52 - 0.84; AA vs GG + AG: OR = 2.83, 95% CI = 1.54 - 5.21; A vs G: OR = 0.66, 95% CI = 0.53 - 0.82). Conclusion:IL-6 -174 G/C, IL-6 -572 G/C, IL-10 -819 T/C and IL-10 -1 082 A/G polymorphisms are associated with the susceptibility to AITD, especially in Asians.

Objective This study aimed to identify differentially methylated genes (DMGs) associated with natural killer cells in patients with autoimmune thyroiditis (AIT),focusing on the influence of varying water iodine exposure levels. Methods Participants were divided into categories based on median water iodine (MWI) concentrations:iodine-fortified areas (IFA,MWI<10 μg/L),iodine-adequate areas (IAA,40 ≤ MWI ≤ 100μg/L),and iodine-excessive areas (IEA,MWI>300 μg/L). A total of 176 matched AIT cases and controls were recruited and divided into 89,40,and 47 pairs for IFA,IAA,and IEA,respectively. DMGs were identified using 850K BeadChip analysis for 10/10 paired samples. Validation of DNA methylation and mRNA expression levels of the DMGs was conducted using MethylTarget? and QRT-PCR for 176/176 paired samples. Results KLRC1,KLRC3,and SH2D1B were identified as significant DMGs. Validation revealed that KLRC1 was hypomethylated and highly expressed,whereas KLRC3 was hypermethylated and highly expressed in individuals with AIT. Furthermore,KLRC1 was hypomethylated and highly expressed in both IFA and IEA. Conclusion The DNA methylation status of KLRC1 and KLRC3 may play crucial roles in AIT pathogenesis. Additionally,DNA methylation of KLRC1 seems to be influenced by different iodine concentrations in water.