Journal of Endocrinological Investigation

Background: Thyroglobulin is an excellent biological marker of persistent or recurrent thyroid cancer during long-term follow-up. Most studies investigated its diagnostic value but not its prognostic value over time. We aim to study the prognostic value of thyroglobulin levels early after total thyroidectomy, before iodine ablation. Methods: The study was based on the Rabin Medical Center registry of patients with non-medullary thyroid carcinoma. Data were collected on the clinical, laboratory, and outcome characteristics of 420 consecutive patients followed at our institution for whom early post-operative pre-ablation thyroglobulin values (baseline thyroglobulin) were available. Results: Patients were classified into 4 groups by baseline thyroglobulin level: 0–2, 2–10, 10–100, and >100 ng/ml. Higher levels were associated with a shift toward male gender (p=0.01), larger tumor size (p=0.02), and a more extensive disease (p<0.0001). They were also related to disease persistence and evidence of disease at last follow-up (p<0.0001). The 10 ng/ml cut-off level identified patients with persistent disease with a sensitivity and specificity of 73%, positive predictive value of 43%, and negative predictive value of 89%. On multivariate analysis, the following variables were predictive of persistent disease: baseline thyroglobulin level, male gender, lymph-node involvement, distant metastases, higher tumor invasiveness, and larger tumor size. However, the predictive power of baseline thyroglobulin level was relatively weak (odds ratio 1.002, 95% confidence interval 1.00–1.04). Conclusions: In patients with well-differentiated thyroid cancer, a post-thyroidectomy thyroglobulin level <10 ng/ml is associated with a low probability of having persistent disease and can be used combined with other disease characteristics for decisions regarding treatment and follow-up.

Whether glycemic control contributes to a decreased number of fractures or favorably impacts bone density in patients with type 2 diabetes mellitus (T2DM) has not been well established. Vitamin D (25 (OH) D3) deficiency appears to be related to glycemic control in patients with T2DM. The aim of this study was to determine the relationship between 25 (OH) D3 levels, glycemic control, bone mineral density (BMD), and the development of osteoporotic fractures (OPF) in postmenopausal women with T2DM. We reviewed the charts of 110 postmenopausal women diagnosed with T2DM. Glycosylated hemoglobin A1c (HbA1c) values over the previous 5 years were recorded and an average was obtained. Based on these values, the patients were divided into three groups: optimal, suboptimal, and poor control. Bone mineral density and 25 (OH) D3 levels were also recorded. In the group of patients with poorly controlled T2DM, 25 (OH) D3 levels were not significantly lower in comparison with the optimal control group 19.29 ± 7.70 vs 17.26 ± 6.93 (p = 0.53). No statistically significant linear relationship between HbA1c and 25 (OH) D3 levels (r s = −0.17, p = 0.06) was established. The frequency of osteoporosis and osteopenia was not significantly different between groups. The group with optimal glycemic control had an increased number of OPF events (p = 0.04). We do not appreciate a significant relationship between 25 (OH) D3 levels and glucose control or OPF. Therefore, more studies are needed to identify the specific effect of 25 (OH) D3 in T2DM physiopathology.

To investigate the association of resistin with proprotein convertase subtilisin–kexin type 9 (PCSK9) levels, another novel regulator of atherosclerosis, in the condition of coronary artery disease (CAD). We prospectively enrolled a total of 356 consecutive stable CAD patients who were not treated with lipid-lowering drugs in the present study. The baseline clinical characteristics were collected. Plasma PCSK9 and resistin levels were determined by ELISA. The relationship between plasma PCSK9 and resistin levels was investigated. Overall, plasma resistin exhibited a positive nonparametric correlation with PCSK9 levels (r = 0.123, p = 0.02). When the patients were classified into groups based on body mass index (BMI), the resistin correlated significantly to the PCSK9 levels in patients with BMI < 25 kg/m2 (r = 0.162, p = 0.026) but not in patients with BMI ≥ 25 kg/m2 (r = 0.087, p = 0.205). Multivariate regression analysis corroborated the relation between the PCSK9 and an elevated resistin level in patients with BMI < 25 kg/m2 independently of traditional parameters including age, sex, BMI, smoking, family history of CAD, systolic blood pressure, glucose, low density lipoprotein cholesterol, white blood cell, neutrophil to lymphocyte ratio, and high-sensitive C-reactive protein. Plasma resistin was positively related to PCSK9 levels in CAD patients with normal weight, suggesting that the circulating resistin might represent a link with PCSK9 level variations in CAD progression of normal body weight.

Diabetic nephropathy (DN) is a leading cause of end-stage renal disease worldwide. Recent researches have shown that circular RNAs (circRNAs) could affect the progress of DN, but the mechanism is still indistinct. In this work, we explored the roles of hsa_circ_0008360 in DN. The levels of hsa_circ_0008360, microRNA-346 (miR-346) and Winglesstype family member 2B (WNT2B) were indicated by quantitative real-time polymerase chain reaction (qRT-PCR) in DN tissues and HK2 cells. Meanwhile, the protein level of WNT2B was quantified by Western blot analysis. Besides, the function of cells was examined by Cell Counting Kit-8 (CCK8) assay, flow cytometry assay, western blot, and ELISA kit. Furthermore, the interplay between miR-346 and hsa_circ_0008360 or WNT2B was detected by dual-luciferase reporter assay. The levels of hsa_circ_0008360 and WNT2B were increased, and the miR-346 level was decreased in the serum of DN patients and HG-treated HK2 cells. For functional analysis, hsa_circ_0008360 deficiency promoted cell viability, inhibits cell apoptosis, inflammatory response, and the synthesis of related fibrotic proteins in HG-treated HK2 cells. Moreover, overexpression of miR-346 induced the proliferation and inhibit apoptosis of HG-induced HK2 cells by inhibiting WNT2B expression. In mechanism, hsa_circ_0008360 acted as a miR-346 sponge to regulate the level of WNT2B. Hsa_circ_0008360 can regulate miR-346/WNT2B axis in HG-induced HK2 cells, providing an underlying targeted therapy for DN patients.

Aim: this study was conducted to demonstrate the plasminogen activator inhibitor-1 (PAI-1) and thrombin activatable fibrinolysis inhibitor antigen (TAFI-Ag) levels in non-alcoholic steatohepatitis (NASH). Materials and methods: Twenty-seven patients with biopsy-proven NASH and 18 healthy controls (HC) were recruited for the study. Anthropometric data, liver histology (no.=20) and laboratory parameters including PAI-1 and TAFI-Ag assessments were recorded. Results: When compared with HC, patients with NASH had higher body weight, higher waist circumference, elevated blood pressure, higher fasting plasma glucose (FPG) levels and higher homeostasis model assessment (HOMA) scores. the mean plasma PAI-1 levels of patients was found to be higher than HC (87.60 ng/ml vs 30.84 ng/ml p=0.000) and mean plasma TAFI-Ag levels of patients was found to be significantly lower (8.69 μg/ml vs 12.19 μg/ml p=0.000). PAI-1 levels were correlated with systolic blood pressure, age, body weight, transaminases, waist circumference, FPG, body mass index, and HOMA score. TAFI-Ag levels were found to be negatively correlated with transaminases, waist circumference, and body weight. In multiple regression analysis, BMI was the independent variable effecting PAI-1 levels. We did not show any association between PAI-1, TAFI-Ag, disease activity score and fibrosis score. HOMA was the independent variable effecting liver fibrosis in our patients. Conclusion: In this study we demonstrated that patients with biopsy-proven NASH had higher PAI-1 and lower TAFI-Ag expression than HC. Elevated levels of PAI-1 in NASH is the consequence of insulin resistance state. Lower TAFI-Ag levels may be related to the overactivation of TAFI pathway resulting in TAFI-Ag depletion. Furthermore, liver function disturbances may impair TAFI production in NASH. We also showed that NASH patients even with slight elevations of transaminases feature marked insulin resistance and components of metabolic syndrome.