Browse
You are looking at 51 - 60 of 1,475 items for
Search for other papers by Irfan Vardarli in
Google Scholar
PubMed
Search for other papers by Susanne Tan in
Google Scholar
PubMed
Search for other papers by Rainer Görges in
Google Scholar
PubMed
Search for other papers by Bernhard K Krämer in
Google Scholar
PubMed
Search for other papers by Ken Herrmann in
Google Scholar
PubMed
Search for other papers by Christoph Brochhausen in
Google Scholar
PubMed
Objective
The management of thyroid nodules with indeterminate cytology (ITN) is still a challenge. To evaluate the performance of commercial molecular tests for ITN, we performed this comprehensive meta-analysis.
Methods
We performed an electronic search using PubMed/Medline, Embase, and the Cochrane Library. Studies assessing the diagnostic accuracy of Afirma gene expression classifier (GEC), Afirma gene sequencing classifier (GSC), ThyroSeq v2 (TSv2), or ThyroSeq v3 (TSv3) in patients with ITN (only Bethesda category III or IV) were selected; Statistical analyses were performed by using Stata.
Results
Seventy-one samples (GEC, n = 38; GSC, n = 16; TSv2, n = 9; TSv3, n = 8) in 53 studies, involving 6490 fine needle aspirations (FNAs) with ITN cytology with molecular diagnostics (GEC, GSC, TSv2, or TSv3), were included in the study. The meta-analysis showed the following pooled estimates: sensitivity 0.95 (95% CI: 0.94–0.97), specificity 0.35 (0.28–0.43), positive likelihood ratio (LR+) 1.5 (1.3–1.6), and negative likelihood ratio (LR−) 0.13 (0.09–0.19), with the best performance for TSv3 (area under the ROC curve 0.95 (0.93–0.96), followed by TSv2 (0.90 (0.87–0.92)), GSC (0.86 (0.82–0.88)), and GEC (0.82 (0.78–0.85)); the best rule-out property was observed for GSC (LR−, 0.07 (0.02–0.19)), followed by TSv3 (0.11 (0.05–0.24)) and GEC (0.16 (0.10–0.28), and the best rule-in was observed for TSv2 (LR+, 2,9 (1.4–4.6)), followed by GSC (1.9 (1.6–2.4)). A meta-regression analysis revealed that study design, Bethesda category, and type of molecular test were independent factors.
Conclusion
We showed that in patients with ITN, TSv3 has the best molecular diagnostic performance, followed by TSv2, GSC, and GEC. As regards rule-out malignancy, GSC, and rule-in, TSV2 is superior to other tests.
Nanchang University, Nanchang, Jiangxi Province, China
Institute of Neuroscience, Nanchang University, Nanchang, Jiangxi Province, China
Search for other papers by Shikai Gui in
Google Scholar
PubMed
Nanchang University, Nanchang, Jiangxi Province, China
Institute of Neuroscience, Nanchang University, Nanchang, Jiangxi Province, China
Search for other papers by Wanli Yu in
Google Scholar
PubMed
Nanchang University, Nanchang, Jiangxi Province, China
Institute of Neuroscience, Nanchang University, Nanchang, Jiangxi Province, China
Search for other papers by Jiabao Xie in
Google Scholar
PubMed
Nanchang University, Nanchang, Jiangxi Province, China
Institute of Neuroscience, Nanchang University, Nanchang, Jiangxi Province, China
Search for other papers by Lunshan Peng in
Google Scholar
PubMed
Nanchang University, Nanchang, Jiangxi Province, China
Search for other papers by Yuanyuan Xiong in
Google Scholar
PubMed
Department of Urology, the 2nd affiliated hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
Search for other papers by Zhen Song in
Google Scholar
PubMed
Search for other papers by Haitao Luo in
Google Scholar
PubMed
Search for other papers by Juexian Xiao in
Google Scholar
PubMed
Search for other papers by Shengtao Yuan in
Google Scholar
PubMed
Nanchang University, Nanchang, Jiangxi Province, China
Institute of Neuroscience, Nanchang University, Nanchang, Jiangxi Province, China
Search for other papers by Zujue Cheng in
Google Scholar
PubMed
Invasive pituitary neuroendocrine tumors (PitNETs) are the most prevalent types of intracranial and neuroendocrine tumors. Their aggressive growth and difficulty in complete resection result in a high recurrence rate. Cystine transporter solute carrier family 7 member 11 (SLC7A11) is overexpressed in various cancers, which contributes to tumor growth, progression, and metastasis by promoting cystine uptake and glutathione biosynthesis. We identified SLC7A11 as an invasive biomarker based on three Gene Expression Omnibus cohorts. This study aimed to investigate the role of SLC7A11 in invasive PitNETs. Cell proliferation was assessed using CCK-8 and colony formation assays, while cell apoptosis was estimated with flow cytometry. Wound healing assays and transwell assays were utilized to evaluate migration and invasion ability. Our findings demonstrated that SLC7A11 was markedly upregulated in invasive PitNETs, and was associated with the invasiveness of PitNETs. Knockdown of SLC7A11 could largely suppress tumor cell proliferation, migration, and invasion, while inducing apoptosis. Furthermore, SLC7A11 depletion was implicated in regulating epithelial–mesenchymal transition and inactivating the PI3K/AKT signaling pathway. These insights suggest SLC7A11 as a potential therapeutic target for invasive PitNETs.
Search for other papers by Niels B Dalsgaard in
Google Scholar
PubMed
Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Search for other papers by Lærke S Gasbjerg in
Google Scholar
PubMed
Search for other papers by Laura S Hansen in
Google Scholar
PubMed
Search for other papers by Dennis S Nielsen in
Google Scholar
PubMed
Search for other papers by Torben S Rasmussen in
Google Scholar
PubMed
Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Steno Diabetes Center Copenhagen, Gentofte, Denmark
Search for other papers by Filip K Knop in
Google Scholar
PubMed
Aim
The alpha-glucosidase inhibitor acarbose is approved for the treatment of type 2 diabetes (T2D). It acts in the lumen of the gut by reducing intestinal hydrolysis and absorption of ingested carbohydrates. This reduces postprandial blood glucose concentration and increases the content of carbohydrates in the distal parts of the intestine potentially influencing gut microbiome (GM) composition and possibly impacting the gut microbiome (GM) dysbiosis associated with T2D. Here, we investigated the effect of acarbose on GM composition in patients with T2D.
Methods
Faecal samples were collected in a previously conducted randomised, placebo-controlled, double-blind, crossover study in which 15 individuals with metformin-treated T2D (age 57–85 years, HbA1c 40–74 mmol/mol, BMI 23.6–34.6 kg/m2) were subjected to two 14-day treatment periods with acarbose and placebo, respectively, separated by a 6-week wash-out period. Faecal samples were collected before and by the end of each treatment period. The GM profiles were evaluated by 16S rRNA gene amplicon sequencing.
Results
The GM profiles after the treatment periods with acarbose or placebo remained unaffected (P > 0.7) when compared with the GM profiles before treatment. This applied to the analysis of within-sample diversity (α-diversity) and between-sample bacterial composition diversity (β-diversity). Additionally, no dominant bacterial species differentiated the treatment groups, and only minor increases in the relative abundances of Klebsiella spp. and Escherichia coli (P < 0.05) were observed after acarbose treatment.
Conclusion
In patients with metformin-treated T2D, 14 days of treatment with acarbose showed only minor effects on GM as seen in increased relative abundances of Klebsiella spp. and Escherichia coli.
Search for other papers by Sun Fei in
Google Scholar
PubMed
Search for other papers by Min Liu in
Google Scholar
PubMed
Search for other papers by Hu Shanshan in
Google Scholar
PubMed
Search for other papers by Ruijie Xie in
Google Scholar
PubMed
Search for other papers by Wu Danni in
Google Scholar
PubMed
Search for other papers by Zhou Ningying in
Google Scholar
PubMed
Background
Depression has become a multifaceted global health issue, with complex connections to obesity. Weight-adjusted-waist index (WWI) can effectively evaluate central obesity, but the relationship between WWI and depression has not been well studied. The study aims to investigate the potential correlation between these two health parameters.
Methods
According to the data from National Health and Nutrition Examination Survey, this cross-sectional study used multiple regression analysis, subgroup analysis, and smooth curve fitting to explore the relationship between WWI and depression. The assessment ability of WWI was evaluated and compared to other obesity indicators using the receiver operating characteristic (ROC) curve.
Results
This study analyzed 38,154 participants. Higher WWI is associated with higher depression scores (β = 0.41; 95% CI, 0.36–0.47). After adjusting for various confounding factors, the positive correlation between WWI and depression remained significant (P for trend < 0.0001). Nonlinear positive correlation was detected with a breakpoint of 11.14. ROC analysis shows that compared to other obesity indicators (ROCWWI = 0.593; ROCBMI = 0.584; and ROCWC = 0.581), the correlation between WWI and depression has better discrimination and accuracy. DII mediated 4.93%, SII mediated 5.08%, and sedentary mediated 0.35% of the total association between WWI and depression.
Conclusion
WWI levels were related to an increased likelihood of depression and showed a stronger relationship than BMI and waist circumference. Our findings indicated that WWI may serve as a simple anthropometric index to evaluate depression.
Search for other papers by Peiwen Zheng in
Google Scholar
PubMed
Search for other papers by Fan Wang in
Google Scholar
PubMed
Search for other papers by Hui Li in
Google Scholar
PubMed
Search for other papers by Hanlu Chen in
Google Scholar
PubMed
Search for other papers by Mengtong Li in
Google Scholar
PubMed
Search for other papers by Haozheng Ma in
Google Scholar
PubMed
Search for other papers by Jue He in
Google Scholar
PubMed
Search for other papers by Li Chen in
Google Scholar
PubMed
Search for other papers by Yanlong Liu in
Google Scholar
PubMed
Search for other papers by Haiyun Xu in
Google Scholar
PubMed
Objective
This study aimed to reveal associations between metabolic hormones in cerebral spinal fluid (CSF) and cigarette smoking-induced weight gain and to explore the underlying mechanism.
Methods
A total of 156 adult men were included, comprising active smokers and nonsmokers. In addition to demographic information and body mass index (BMI), plasma levels of ApoA1 and ApoB, high-density lipoprotein, low-density lipoprotein, cholesterol, triglyceride, alanine aminotransferase, aspartate aminotransferase, and gamma-glutamyl transferase in the participants were measured. Moreover, the metabolic hormones adiponectin, fibroblast growth factor 21 (FGF21), ghrelin, leptin, and orexin A, as well as the trace elements iron and zinc in CSF, were assessed.
Results
Compared to nonsmokers, active smokers showed higher BMI, and elevated CSF levels of FGF21, Zn, and Fe, but decreased levels of metabolic hormones adiponectin, ghrelin, leptin, and orexin A. Negative correlations existed between CSF FGF21 and ghrelin, between CSF Zn and ghrelin, as well as between CSF Fe and orexin A in active smokers. Furthermore, elevated CSF FGF21 and Zn predicted ghrelin level decrease in the smokers.
Conclusion
These data relate smoking-induced weight gain to its neurotoxic effect on the neurons that synthesize metabolic hormones such as adiponectin, ghrelin, leptin, or orexin A in the brain, by disrupting mitochondrial function and causing oxidative stress in the neurons.
Search for other papers by Weiwei Liang in
Google Scholar
PubMed
Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
Search for other papers by Yilin Zhang in
Google Scholar
PubMed
Search for other papers by Yan Guo in
Google Scholar
PubMed
Search for other papers by Pengyuan Zhang in
Google Scholar
PubMed
Search for other papers by Jiewen Jin in
Google Scholar
PubMed
Search for other papers by Hongyu Guan in
Google Scholar
PubMed
Search for other papers by Yanbing Li in
Google Scholar
PubMed
Background
Filamin A (FLNA) is a member of the filamin family and has been found to be critical for the progression of several cancers. However, its biological function in papillary thyroid cancer (PTC) remains largely unexplored.
Methods
Data from The Cancer Genome Atlas (TCGA) databases were utilized to analyze the FLNA expression level and its influence on the clinical implications of patients with PTC. Gene Expression Omnibus (GEO) and qRT-PCR was used to verify the expression levels of FLNA in PTC. Kaplan–Meier survival analysis was conducted to evaluate the prognostic value of FLNA in PTC. Transwell assays and wound healing were performed to examine the biological function of FLNA knockdown in PTC cells. Gene set enrichment analysis (GSEA) and Western blotting were conducted to investigate the potential mechanisms underlying the role of FLNA in PTC progression. In addition, the relationship between FLNA expression and the tumor immune microenvironment (TME) in PTC was explored.
Results
FLNA was significantly upregulated in PTC tissues. High expression levels of FLNA was correlated with advanced TNM stage, T stage, and N stage, as well as poor disease-free interval (DFI) and progression-free interval (PFI) time in PTC patients. Moreover, we found that FLNA knockdown inhibited the migration and invasion of PTC cells. Mechanistically, FLNA knockdown inhibited epithelial–mesenchymal transition (EMT) in PTC and affected the activation of the FAK/AKT signaling pathway. In addition, FLNA expression was associated with TME in PTC.
Conclusion
FLNA may be regarded as a new therapeutic target for PTC patients.
Search for other papers by Ayse Nurcan Cebeci in
Google Scholar
PubMed
Search for other papers by Vera Schempp in
Google Scholar
PubMed
Search for other papers by Katharina Förtsch in
Google Scholar
PubMed
Search for other papers by Bettina Gohlke in
Google Scholar
PubMed
Search for other papers by Michaela Marx in
Google Scholar
PubMed
Search for other papers by Helmuth-Guenther Dörr in
Google Scholar
PubMed
Search for other papers by Joachim Woelfle in
Google Scholar
PubMed
While subclinical or overt hypothyroidism are common in Down syndrome (DS); Graves’ disease (GD) is rare (ranges 0.6–3%). We aimed to evaluate the clinical features, course, and treatment of GD in children with DS and compare them with those without DS. Among 161 children with GD, 13 (8 female, 5 male) had DS (8%). Data were collected retrospectively from patients’ medical records. The mean age at diagnosis was 10.6 ± 4.5 years, with a female-to-male ratio 1.6:1. The main symptoms were weight loss (n = 6), increased irritability (n = 3), and increased sweating (n = 3). None had orbitopathy. Seven of 11 patients with a thyroid ultrasound at diagnosis had a goitre. On admission, all had thyroid-stimulating hormone (TSH) <0.01 mU/L (normal range (NR): 0.51–4.30), free triiodothyronine, free thyroxine (mean ± s.d .), and thyrotrophin receptor antibodies (median, range) were 22.2 ± 10.2 pmol/L (NR: 3.5–8.1), 50.2 ± 18.7 pmol/L (NR 12.6–20.9), and 17.0 (2.89–159.0) U/L (NR <1), respectively. Patients were treated either with methimazole (n = 10) or carbimazole (n = 3), a dose of 0.54 ± 0.36 mg/kg/day. The treatment was ‘block and replace’ in ten patients and ‘dose titration’ in three patients, with a mean duration of 43.4 ± 11.0 months. Of 13 patients, four are still receiving primary treatment, three are in remission, one patient had two medically treated recurrences, three underwent surgery without complications, and two patients were lost to follow-up. Our data show that the clinical course of GD in patients with DS was similar to those without DS and suggest that a prolonged medical therapy should be the preferred option.
Search for other papers by Zhenyu Liu in
Google Scholar
PubMed
Search for other papers by Huixi Kong in
Google Scholar
PubMed
Search for other papers by Baoyu Zhang in
Google Scholar
PubMed
To optimize the treatment plan for patients with type 2 diabetes mellitus (T2DM) and hyperuricemia, this narrative literature review summarizes the effect of antidiabetic drugs on serum uric acid (SUA) levels using data from observational studies, prospective clinical trials, post hoc analyses, and meta-analyses. SUA is an independent risk factor for T2DM, and evidence has shown that patients with both gout and T2DM exhibit a mutually interdependent effect on higher incidences. We find that insulin and dipeptidyl peptidase 4 inhibitor (DPP-4i) except linagliptin could increase the SUA and other drugs including metformin, thiazolidinediones (TZDs), glucagon-like peptide-1 receptor agonists (GLP-1 RAs), linagliptin, sodium–glucose cotransporter 2 inhibitors (SGLT2i), and α-glucosidase inhibitors have a reduction effect on SUA. We explain the mechanisms of different antidiabetic drugs above on SUA and analyze them compared with actual data. For sulfonylureas, meglitinides, and amylin analogs, the underlying mechanism remains unclear. We think the usage of linagliptin and SGLT2i is the most potentially effective treatment of patients with T2DM and hyperuricemia currently. Our review is a comprehensive summary of the effects of antidiabetic drugs on SUA, which includes actual data, the mechanisms of SUA regulation, and the usage rate of drugs.
Search for other papers by Yueyuan Yang in
Google Scholar
PubMed
Search for other papers by Tingting Yu in
Google Scholar
PubMed
Search for other papers by Zhili Niu in
Google Scholar
PubMed
Search for other papers by Ling Gao in
Google Scholar
PubMed
Objective
Uridine might be a common link between pathological pathways in diabetes and cardiovascular diseases. This study aimed to investigate the predictive value of plasma uridine for type 2 diabetes (T2D) and T2D with atherosclerosis.
Methods
Individuals with T2D and healthy controls (n = 218) were randomly enrolled in a cross-sectional study. Patients with T2D were divided into two groups based on carotid ultrasound: patients with carotid atherosclerosis (CA) (group DCA) and patients without CA (group D). Plasma uridine was determined using HPLC-MS/MS. Correlation and logistic regression analyses were used to analyze the results.
Results
Fasting and postprandial uridine were significantly increased in patients with T2D compared with healthy individuals. Logistic regression suggested that fasting and postprandial uridine were independent risk factors for T2D. The receiver operating characteristic (ROC) curve showed that fasting uridine had a predictive value on T2D (95% CI, 0.686–0.863, sensitivity 74.3%, specificity 71.8%). Fasting uridine was positively correlated with LDL-c, FBG, and PBG and negatively correlated with fasting C-peptide (CP-0h) and HOMA-IS. The change in postprandial uridine from fasting baseline (Δuridine) was smaller in T2D patients with CA compared with those without (0.80 (0.04–2.46) vs 2.01 (0.49–3.15), P = 0.010). Δuridine was also associated with T2D with CA and negatively correlated with BMI, CP-0h, and HOMA-IR.
Conclusion
Fasting uridine has potential as a predictor of diabetes. Δuridine is closely associated with carotid atherosclerosis in patients with T2D.
Search for other papers by Arno Téblick in
Google Scholar
PubMed
Search for other papers by Ilse Vanhorebeek in
Google Scholar
PubMed
Search for other papers by Inge Derese in
Google Scholar
PubMed
Search for other papers by An Jacobs in
Google Scholar
PubMed
Search for other papers by Renata Haghedooren in
Google Scholar
PubMed
Search for other papers by Sofie Maebe in
Google Scholar
PubMed
Search for other papers by Gerdien A Zeilmaker-Roest in
Google Scholar
PubMed
Search for other papers by Enno D Wildschut in
Google Scholar
PubMed
Search for other papers by Lies Langouche in
Google Scholar
PubMed
Search for other papers by Greet Van den Berghe in
Google Scholar
PubMed
In critically ill adults, high plasma cortisol in the face of low ACTH coincides with high pro-opiomelanocortin (POMC) levels. Glucocorticoids further lower ACTH without affecting POMC. We hypothesized that in pediatric cardiac surgery-induced critical illness, plasma POMC is elevated, plasma ACTH transiently rises intraoperatively but becomes suppressed post-operatively, and glucocorticoid administration amplifies this phenotype. From 53 patients (0–36 months), plasma was obtained pre-operatively, intraoperatively, and on post-operative days 1 and 2. Plasma was also collected from 24 healthy children. In patients, POMC was supra-normal pre-operatively (P < 0.0001) but no longer thereafter (P > 0.05). ACTH was never high in patients. While in glucocorticoid-naive patients ACTH became suppressed by post-operative day 1 (P < 0.0001), glucocorticoid-treated patients had already suppressed ACTH intraoperatively (P ≤ 0.0001). Pre-operatively high POMC, not accompanied by increased plasma ACTH, suggests a centrally activated HPA axis with reduced pituitary processing of POMC into ACTH. Increasing systemic glucocorticoid availability with glucocorticoid treatment accelerated the suppression of plasma ACTH.
Significance statement
Glucocorticoids are often administered during pediatric cardiac surgery. In critically ill children, endogenous systemic glucocorticoid availability is elevated already upon ICU admission while ACTH levels are normal. This hormonal constellation suggests the presence of active feedback inhibition of ACTH. In this study, we have documented that intraoperative administration of glucocorticoids accelerates the suppression of ACTH, resulting in low plasma ACTH already upon ICU admission. Pre-operative plasma POMC, the ACTH precursor, but not ACTH, was increased. This is compatible with a centrally activated HPA axis prior to surgery in young children but reduced processing of POMC into ACTH within the pituitary. These findings suggest that glucocorticoid treatment in the context of pediatric cardiac surgery may amplify pre-existing impaired pituitary processing of the prohormone POMC.