Search Results
Search for other papers by Qian Yang in
Google Scholar
PubMed
Search for other papers by Wencai Ke in
Google Scholar
PubMed
Search for other papers by Fanfan Pan in
Google Scholar
PubMed
Search for other papers by Xinmei Huang in
Google Scholar
PubMed
Search for other papers by Jun Liu in
Google Scholar
PubMed
Search for other papers by Bingbing Zha in
Google Scholar
PubMed
Objective
Neutropenia is a complication of Graves' disease (GD), but there is currently no means by which to predict its occurrence. This study aimed to investigate the risk factors for the development of neutropenia in untreated GD.
Methods
This was a retrospective cohort study. Between January 1, 2010, and July 31, 2020, 1000 patients with new-onset or relapsing GD without treatment were enrolled in the study and divided into two groups: neutropenia group (neutrophil count < 2 × 109/L) and non-neutropenia group (neutrophil count ≥ 2 × 109/L). Clinical characteristics of subjects were compared between the two groups, and logistic regression analysis was applied to determine risk factors for neutropenia. To further explore the correlation of radioactive iodine uptake (RAIU) with neutropenia, subjects were first classified according to quartile of 3 h RAIU and 24 h RAIU prior to logistic regression analysis.
Results
Of all patients recruited, 293 (29.6%) were diagnosed with neutropenia. Compared with non-neutropenic patients, those with neutropenia had a higher level of free thyroxine (FT4) (56.64 ± 31.80 vs 47.64 ± 39.64, P = 0.001), 3 h RAIU (55.64 ± 17.04 vs 49.80 ± 17.21, P < 0.001) and 24 h RAIU (67.38 ± 12.54 vs 64.38 ± 13.58, P < 0.001). Univariate logistic regression analysis revealed that FT4, 3 h RAIU, 24 h RAIU, creatinine, and low-density lipoprotein were risk factors for development of neutropenia in GD. After adjusting for confounding factors of age, BMI, and sex, we determined that 3 h RAIU and 24 h RAIU (Model 1: OR = 1.021, 95% CI: 1.008–1.033, P = 0.001; Model 2: OR = 1.023, 95% CI: 1.007–1.039, P = 0.004), but not FT4, were associated with the development of neutropenia.
Conclusions
RAIU is associated with neutropenia in patients with untreated GD.
Search for other papers by Rui Zhang in
Google Scholar
PubMed
Search for other papers by Xinmei Huang in
Google Scholar
PubMed
Search for other papers by Yue Li in
Google Scholar
PubMed
Search for other papers by Zhiyan Yu in
Google Scholar
PubMed
Search for other papers by Yueyue Wu in
Google Scholar
PubMed
Search for other papers by Bingbing Zha in
Google Scholar
PubMed
Search for other papers by Heyuan Ding in
Google Scholar
PubMed
Search for other papers by Shufei Zang in
Google Scholar
PubMed
Search for other papers by Jun Liu in
Google Scholar
PubMed
Objective
The aim of this study was to evaluate the effect of TFR2 on iron storage in type 2 diabetes.
Methods
A cross-sectional study was conducted among 1938 participants from the Jiangchuan Community of Shanghai. A total of 784 participants with T2DM and 1154 normal participants (non-T2DM) were enrolled in this study. Serum ferritin, fasting blood glucose, postprandial blood glucose, and HbA1C (glycated hemoglobin A1c) levels were determined. Eighteen Wistar male rats were randomly assigned into three groups (n = 6/group): rats in a high-fat diet streptozotocin (HFD+STZ) group were fed with HFD for 4 weeks and intraperitoneally injected with streptozotocin (STZ); rats in a control group were fed with a standard diet for 4 weeks and intraperitoneally injected with buffer; rats in an STZ group were fed with a standard diet for 4 weeks and intraperitoneally injected with streptozotocin. Glucose tolerance test was performed at the end of the study. Blood samples and liver tissues were assessed for liver TFR2, blood glucose, serum ferritin, and iron levels.
Results
The mean serum ferritin level of T2DM participants was significantly higher than that of the control group (227 (140–352) vs 203.5 (130.5–312) ng/mL, P < 0.05). Serum ferritin level was an independent risk factor for T2DM (high ferritin group vs low ferritin group, 1.304 (1.03–1.651), P < 0.05). Diabetic rats showed reduced liver TFR2 levels, with increased serum ferritin levels.
Conclusion
T2DM participants exhibited iron disorder with elevated serum ferritin levels. Elevated serum ferritin levels in diabetic rats were accompanied by reduced liver TFR2 levels.
Department of Pediatric Cardiology, Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
Search for other papers by Xuechao Jiang in
Google Scholar
PubMed
Search for other papers by Yonghui Wang in
Google Scholar
PubMed
Search for other papers by Xiaoying Li in
Google Scholar
PubMed
Search for other papers by Leqi He in
Google Scholar
PubMed
Search for other papers by Qian Yang in
Google Scholar
PubMed
Search for other papers by Wei Wang in
Google Scholar
PubMed
Search for other papers by Jun Liu in
Google Scholar
PubMed
Search for other papers by Bingbing Zha in
Google Scholar
PubMed
B lymphocytes are the source of autoantibodies against the thyroid-stimulating hormone receptor (TSHR) in Graves’ disease (GD). Characterization of autoimmune B-cell expression profiles might enable a better understanding of GD pathogenesis. To reveal this, the expression levels of long noncoding RNAs (lncRNAs) and mRNAs (genes) in purified B cells from patients with newly diagnosed GD and healthy individuals were compared using microarrays, which elucidated 604 differentially expressed lncRNAs (DE-lncRNAs) and 410 differentially expressed genes (DEGs). GO and pathway analyses revealed that the DEGs are mainly involved in immune response. A protein–protein interaction network presented experimentally validated interactions among the DEGs. Two independent algorithms were used to identify the DE-lncRNAs that regulate the DEGs. Functional annotation of the deregulated lncRNA–mRNA pairs identified 14 pairs with mRNAs involved in cell proliferation. The lncRNAs TCONS_00022357-XLOC_010919 and n335641 were predicted to regulate TCL1 family AKT coactivator A (TCL1A), and the lncRNA n337845 was predicted to regulate SH2 domain containing 1A (SH2D1A). TCL1A and SH2D1A are highly involved in B-cell proliferation. The differential expression of both genes was validated by qRT-PCR. In conclusion, lncRNA and mRNA expression profiles of B cells from patients with GD indicated that the lncRNA–mRNA pairs n335641–TCL1A, TCONS_00022357-XLOC_010919–TCL1A, and n337845–SH2D1A may participate in GD pathogenesis by modulating B-cell proliferation and survival. Therefore, the identified lncRNA and mRNA may represent novel biomarkers and therapeutic targets for GD.
Search for other papers by Leqi He in
Google Scholar
PubMed
Search for other papers by Xiaoying Li in
Google Scholar
PubMed
Search for other papers by Zaoping Chen in
Google Scholar
PubMed
Search for other papers by Wei Wang in
Google Scholar
PubMed
Search for other papers by Kai Wang in
Google Scholar
PubMed
Search for other papers by Xinmei Huang in
Google Scholar
PubMed
Search for other papers by Qian Yang in
Google Scholar
PubMed
Search for other papers by Wencai Ke in
Google Scholar
PubMed
Search for other papers by Jun Liu in
Google Scholar
PubMed
Search for other papers by Bingbing Zha in
Google Scholar
PubMed
Objective
To explore the relationship between estradiol (E2) and thyroid function during the second trimester of pregnancy and the effect of E2 on sodium iodide transporter (NIS) expression in cultured thyroid cells.
Materials and methods
We analyzed relationships between E2 and thyroid function in 196 pregnant women during the second trimester. Multiple linear regression analysis was performed between E2 and thyroid function. The human thyroid Nthy-ori3-1 cells were cultured in different E2 concentrations, and the mRNA levels of NIS, estrogen receptor (ER)-α, and ER-β were measured by quantitative real-time PCR. Their protein levels were assessed by western blot.
Results
E2 was positively correlated with thyroid-stimulating hormone (TSH) and negatively correlated with free thyroxine (FT4) (P < 0.05). When we corrected for age, BMI, alanine aminotransferase, and serum creatinine, E2 was still negatively correlated with FT4 (P < 0.5) during the second trimester. In Nthy-ori3-1 cells treated with 10 nM E2, NIS and ER-β mRNA levels were significantly reduced, while ER-α mRNA level was not altered (P > 0.5). Moreover, 10 nM E2 significantly decreased protein levels of ER-β, phosphorylated versions of protein kinase A (p-PKA), phosphorylated versions of cAMP response element-binding protein (p-CREB), and NIS, while treatment with the ER-β inhibitor restored the expression of p-PKA, p-CREB, and NIS (P < 0.05).
Conclusion
High concentration of E2 has a negative correlation with FT4. High concentration of E2 can inhibit the NIS expression through the ER-β-mediated pathway, which may cause thyroid hormone fluctuations during pregnancy.
