BackgroundThyroid carcinoma (THCA) is a common type of cancer worldwide, and its incidence has been increasing in recent years. Disul doptosis, a recently de ned form of metabolic-related regulated cell death (RCD), has been shown to play a sophisticated role in antitumor immunity. However, its mechanisms and functions are still poorly understood and the association between disul doptosis and the prognosis of patients with papillary thyroid carcinoma remains to be elucidated. This study aims to investigate the connection between disul doptosis and the prognosis of thyroid cancer, while also developing a prognostic index based on disul doptosis genes. Materials and methodsWe utilized 24 genes associated with disul doptosis to create the classi cation and model. To gather data, we sourced gene expression pro les, somatic mutation information, copy number variation data, and corresponding clinical data from the TCGA database for patients with thyroid cancer. Additionally, we obtained single-cell transcriptome data GSE184362 from the Gene Expression Omnibus (GEO) database for further analysis. ResultsIn this study, we utilized 24 genes associated with disul doptosis to identify two distinct groups with different biological processes using non-negative matrix factorization (NMF). Our ndings showed that Cluster 1 is associated with chemokines, interleukins, interferons, checkpoint genes, and other important components of the immune microenvironment. Moreover, cluster 1 patients with high IPS scores may be more sensitive to immunotherapy. We also provide drug therapeutic strategies for each cluster patients based on the IC50 of each drug. The Enet model was chosen as the optimal model with the highest Cindex and showed that patients with high risk had a worse prognosis and weak cell-to-cell interactions in THCA. Finally, we established a nomogram model based on multivariable cox and logistic regression analyses to predict the overall survival of THCA patients. ConclusionThis research provides new insight into the impact of disul doptosis on THCA. Through a thorough examination of disul doptosis, a new classi cation system has been developed that can effectively predict the clinical prognosis and drug sensitivity of THCA patients.
Background Asprosin, a novel adipokine that raises glucose levels and stimulates appetite, has been proved to be pathologically increased in populations predisposed to type 2 diabetes mellitus (T2DM), obesity, and cardiovascular diseases. The mechanisms of sodium-glucose co-transporter-2 (SGLT2) inhibitors for hypoglycemic effect and cardiovascular protection have not been fully clarified. Therefore, we conducted this study to assess change in the levels of serum asprosin after treatment with SGLT2 inhibitors in patients with newly diagnosed T2DM. Methods This study was a randomized, double-blind, placebo-controlled trial. A total of 29 participants with newly diagnosed T2DM with body mass index (BMI) ≥ 23.0 kg/m2 and haemoglobin A1c (HbA1c) levels of 58–85 mmol/mol (7.5–10%) were randomized to SGLT2 inhibitors dapagliflozin 10 mg/d (n = 19) or placebo (n = 10) treatment for 24 weeks. We analyzed asprosin concentrations by an enzyme-linked immunosorbent assay. Besides, body weight, BMI, HbA1c, fasting plasma glucose (FPG), and lipid levels were measured at baseline and 24 weeks. Results At 24 weeks, participants with SGLT2 inhibitors treatment exhibited lower levels of serum asprosin (22.87 vs 45.06 ng/ml in the placebo group; P < 0.001) after adjusting for baseline values. The levels of body weight, BMI, HbA1c, FPG, and triglyceride (TG) were decreased, while high density lipoprotein-cholesterol (HDL-C) was increased after SGLT2 inhibitors dapagliflozin treatment compared with placebo (P < 0.05 for all). Low density lipoprotein-cholesterol (LDL-C) and total cholesterol (TC) levels were unchanged in the SGLT2 inhibitors group and placebo group. No statistical correlation was found between the levels of serum asprosin and body weight, BMI, HbA1c, FPG, and lipid levels during the SGLT2 inhibitor dapagliflozin treatment. Conclusions These findings indicated that SGLT2 inhibitors can lower serum asprosin levels and improve glucolipid and weight in patients with newly diagnosed T2DM, which may benefit the cardiovascular system. Trial registration CTR20131268; Registered 20 March 2014 CTR20150102; Registered 03 March 2015. http://www.chinadrugtrials.org.cn/clinicaltrials.searchlistdetail.dhtml.
Aims/Introduction To explore the relationship between heart rate‐corrected QT (QTc) interval and diabetic peripheral neuropathy (DPN), and whether QTc interval has diagnostic utility for DPN beyond nerve conduction velocity. Materials and Methods A total of 965 patients with diabetes, including 473 patients with DPN and 492 patients without DPN, underwent standard 12‐lead electrocardiography and detailed assessments of peripheral neuropathy. Results Patients with DPN had longer QTc intervals than those without. Among participants, from the first to fourth quartile of QTc interval, the proportion of patients with DPN appreciably increased and the nerve conduction velocity obviously decreased (P for trend <0.001). The univariate and multivariate analyses showed that prolonged QTc interval was closely associated with increased risk of DPN (univariable odds ratio 1.112, 95% confidence interval 1.097–1.127, P < 0.001; multivariable odds ratio 1.118, 95% confidence interval 1.099–1.137, P < 0.001). Receiver operating characteristic analysis for the diagnosis of DPN showed a greater area under the curve for QTc interval of 0.894 than the median nerve motor conduction velocity of 0.691, median nerve sensory conduction velocity of 0.664 and peroneal nerve motor conduction velocity of 0.692. The optimal cut‐off point of QTc interval for DPN was 428.5 ms with sensitivity of 0.715 and specificity of 0.920 (P < 0.001). The combination of QTc interval and nerve conduction testing increased the area under the curve for the diagnosis of DPN (from 0.736 to 0.916; P < 0.001). Conclusions QTc interval with 428.5 ms has more reliable diagnostic utility for DPN than nerve conduction velocity, and prolonged QTc interval is closely associated with an increased risk of DPN.
BackgroundAsprosin, a novel adipokine which raises glucose levels and stimulates appetite, has been proved to be pathologically increased in populations predisposed to type 2 diabetes mellitus (T2DM), obesity and cardiovascular diseases. The mechanisms of sodium-glucose co-transporter-2 (SGLT2) inhibitors for hypoglycemic effect and cardiovascular protection have not been fully clarified. Therefore, we conducted this study to assess change in the levels of serum asprosin after treatment with SGLT2 inhibitors in patients with newly diagnosed T2DM.MethodsThis study was a randomized, double-blind, placebo-controlled trial. A total of 29 participants with newly diagnosed T2DM with body mass index (BMI) ≥ 23.0 kg/m² and haemoglobin A1c (HbA1c) levels of 58 ~ 85 mmol/mol (7.5%~10%) were randomized to SGLT2 inhibitors dapagliflozin 10 mg/d (n = 19) or placebo (n = 10) treatment for 24 weeks. We analyzed asprosin concentrations by an enzyme-linked immunosorbent assay. In addition, body weight, BMI, HbA1c, fasting plasma glucose (FPG), and lipid levels were measured at baseline and at 24 weeks.ResultsAt 24 weeks, participants with SGLT2 inhibitors treatment exhibited lower the levels of serum asprosin (22.87 vs 45.06 ng/ml in the placebo group; P < 0.001) after adjusting for baseline values. The levels of body weight, BMI, HbA1c, FPG and triglyceride (TG) were decreased, while high density lipoprotein-cholesterol (HDL-C) was increased after SGLT2 inhibitors dapagliflozin treatment compared with placebo (P < 0.05 for all). Low density lipoprotein-cholesterol (LDL-C) and total cholesterol (TC) levels were unchanged in SGLT2 inhibitors group and placebo group. No statistical correlation was found between the levels of serum asprosin and body weight, BMI, HbA1c, FPG, and lipid levels during the SGLT2 inhibitor dapagliflozin treatment.ConclusionsThis study shows that SGLT2 inhibitors can decrease the levels of serum asprosin in patients with newly diagnosed T2DM, which may be involved in SGLT2 inhibitors mechanisms of improving glucose levels and reducing cardiovascular diseases risk factors.Trial registrationISRCTN, ISRCTN2013L01573. Registered 29 august 2013. http://www.icmje.org/search/?q=ISRCTN+2013L01573ISRCTN, ISRCTN2014L00001.Registered 4 January http://www.icmje.org/search/?q=ISRCTN+2014L00001
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.