RESUMO
Objective:To investigate the correlation between serum insulin-like growth factor 1 (IGF-1), thyroid stimulating hormone (TSH), degree of insulin resistance and thyroid nodule imaging reporting and data system (TI-RADS) grading in patients with type 2 diabetes mellitus (T2DM).Methods:The clinical data of 120 patients with T2DM from February 2020 to November 2021 in Kunshan Hospital of Integrated Traditional Chinese and Western Medicine were retrospectively analyzed. Among them, 56 patients had no thyroid nodules (non-thyroid nodule group), all patients were TI-RADS grade 1; 64 patients had thyroid nodules (thyroid nodule group), including 7 cases of TI-RADS grade 2, 12 cases of TI-RADS grade 3, 20 cases of TI-RADS grade 4, and 25 cases of TI-RADS grade 5. The levels of IGF-1 and TSH were measured by automated biochemical analyzer, the homeostatic model assessment insulin resistance index (HOMA-IR) was calculated. Spearman method was used for correlation analysis; multivariate Logistic regression was used to analyze the independent risk factors of TI-RADS grading in patients with T2DM combined with thyroid nodules; the receiver operating characteristic (ROC) curve was drawn to analyze the efficacy of IGF-1, TSH and HOMA-IR in predicting TI-RADS grading in patients with T2DM combined with thyroid nodules.Results:The IGF-1, TSH and HOMA-IR in thyroid nodule group were significantly higher than those in non-thyroid nodule group: (185.35 ± 45.08) ng/L vs. (168.36 ± 30.25) ng/L, (2.98 ± 0.85) mU/L vs. (2.69 ± 0.35) mU/L and 3.25 ± 0.75 vs. 2.95 ± 0.44, and there were statistical differences ( P<0.05 or <0.01). In patients with T2DM combined with thyroid nodules, with the increase of TI-RADS classification, the IGF-1, TSH and HOMA-IR gradually increased, and there were statistical differences ( P<0.05). Spearman correlation analysis result showed that the levels of IGF-1, TSH and HOMA-IR were positive correlation with TI-RADS grading ( r = 0.918, 0.906 and 0.920; P<0.05). Multivariate Logistic regression analysis result showed that the IGF-1, TSH and HOMA-IR were independent risk factors for TI-RADS grading in patients with T2DM combined with thyroid nodule ( OR = 1.684, 1.044 and 1.851; 95% CI 0.674 to 6.665, 0.032 to 0.055 and 1.212 to 2.298; P<0.01 or <0.05). ROC curve analysis result show that the area under the curve of IGF-1, TSH and HOMA-IR for predicting the TI-RADS grading patients with T2DM combined with thyroid nodule were 0.946, 0.983 and 0.975, with all sensitivity of 100.00%, and specificity of 82.14%, 91.07% and 89.29%. Conclusions:There is a correlation between IGF-1, TSH, HOMA-IR and TI-RADS grading in patients with T2DM combined with thyroid nodule, which has some guiding value for clinical monitoring of thyroid nodule changes.
RESUMO
Objective:Real-time cell-based assay (RTCA) technology was used to detect the influence of compound Danshen tablets with different concentrations on cells to screen outthe sensitive, stable and concentration-dependent cell lines to provide reference for the quality evaluation experiment of cell biological effects of compound salvia miltiorrhiza tablets. Methods:The effects of compound Danshen tablets on human umbilical vein endothelial cells (Huvec), rat cardiac myocytes (H9C2) and rat thoracic aortic smooth muscle cells (RA-VSMC) were investigated by RTCA. The cell index (CI) was measured to form time-dose dependent cell response curves (TCRPs) to screen the the optimal cell lines by description analysis and statistical analysis. Results:All of the three cells show obvious response to the effects of compound Danshen tablets. The sensitivity of RA-VSMC was relatively poor, the range of effective concentrationof three cells was different, and the concentration gradient dependence was also different. H9c2 cells had good sensitivity to compound Danshen tablets, which was gradient dependent, and the effective concentration range wass 0.3-1.8 mg/ml, and it can be used as a cell for quality evaluation of compound Danshen tablets. Conclusions:RTCA technology can monitor and record the growth status of cells in real time. It can accurately reflect the effects of compound Danshen tablets on different cell lines. The data are objective and reliable. It provides a new experimental technology and method for the quality evaluation of compound Danshen tablets.
