To compare central nervous system (CNS) tumors, such as paraganglioma, low-grade glioma (LGG), and glioblastoma (GBM), in terms of driver genes and gene expression, and to investigate the roles of com Show more
To compare central nervous system (CNS) tumors, such as paraganglioma, low-grade glioma (LGG), and glioblastoma (GBM), in terms of driver genes and gene expression, and to investigate the roles of common driver genes and genes with altered expression in cellular proliferation mechanisms and their interactions. Mutation datasets for pheochromocytoma/paraganglioma, LGG, and GBM from The Cancer Genome Atlas (TCGA) database were used for driver gene prediction. Six datasets from the Gene Expression Omnibus (GEO) database were used for differential gene expression analysis. A hybrid approach combining clustering and computational biology methods was applied to identify driver genes. Gene expression analyses were repeated for two gene expression datasets for each tumor type, and the intersection of the results was taken. Protein interaction analyses, overall survival analyses, and carcinogenesis-related functional analyses were performed on the common driver genes and the genes with the most significant changes in expression. ATRX, NF1, MUC16, and TTN were identified as driver gene candidates for all three tumor types. FSTL5, GABRG2, VSNL1, and LPL were found to be the genes with the most altered expression across all tumor types. Our findings suggest that, while CNS tumors with similar symptoms share molecular features, they can be more accurately differentiated through detailed investigation of the expression and mutation burden of the identified genes. This may also help accelerate the treatment planning process. This study confirms that paraganglioma, LGG, and GBM may share common mutational and expressional gene patterns. The identified genes may serve as potential therapeutic targets in the treatment of glial and neuroendocrine tumors. Show less
This study aims to show the clinical and biochemical features in patients with severe hypertriglyceridemia (HTG) associated with rare variants in the apolipoprotein A-V (APOA5) gene. Demographics, blo Show more
This study aims to show the clinical and biochemical features in patients with severe hypertriglyceridemia (HTG) associated with rare variants in the apolipoprotein A-V (APOA5) gene. Demographics, blood lipid levels, body mass index (BMI) and APOA5 mutation subtypes were collected from the endocrinology clinic registry and analyzed for a retrospective cohort study of ten patients with severe HTG and APOA5 gene variants. Of the 10 cases, four were female, and six were male. The median age was 45.0 years (min-max: 21-60 years), the median triglyceride was 2429.5 mg/dL (27.5 mmol/L) (min-max: 1351-4087 mg/dL, 15.3-46.2 mmol/L), and the mean BMI was calculated as 30.4 ± 4.4 kg/m We report a cohort of patients with biallelic and single copy APOA5 variants, who were diagnosed later in life. Most had secondary factors, such as DM or obesity with increased BMI. Most rare APOA5 variants found in our patients were of uncertain significance. Our results add to the growing evidence that rare variants in certain candidate genes may predispose to developing HTG, together with secondary factors such as obesity. The genetic basis of HTG in many other patients is still unknown and remains the subject of further investigation. Show less
The clinical association between atrial fibrillation (AF), coronary microvascular disease (CMD) and heart failure with preserved ejection fraction (HFpEF) is highly prevalent, however the mechanism be Show more
The clinical association between atrial fibrillation (AF), coronary microvascular disease (CMD) and heart failure with preserved ejection fraction (HFpEF) is highly prevalent, however the mechanism behind this association is not known. We hypothesized that plasma proteomic analysis can identify novel biomarkers and the mechanistic pathways in concomitant AF, CMD and HFpEF. To discover circulating biomarkers for the association between AF, CMD and HFpEF, an unbiased label-free quantitative proteomics approach was used in plasma derived from patients who underwent coronary physiology studies (n=18). Circulating proteins were analyzed by liquid chromatography-mass spectrometry and screened to determine candidate biomarkers of the concomitant AF, CMD and HFpEF. We identified 130 dysregulated proteins across the groups with the independent patient replicates. Among those, 35 proteins were candidate biomarkers of the association between AF, CMD and HFpEF. We found significantly elevated SAA1, LRG1 and APOC3 proteins in the coexistence of AF, CMD and HFpEF, whereas LCP1, PON1 and C1S were markedly downregulated in their associations. AF was associated with reduced LCP1, KLKB1 and C4A in these patients. Combined downregulation of PON1 and C1S was a marker of concurrent HFpEF and CMD. PON1 was associated with HFpEF while C1S was a marker of CMD. These proteins are related to inflammation, extra cellular remodeling, oxidative stress, and coagulation. In conclusion, plasma proteomic profile provides biomarkers and mechanistic insight into the association of AF, CMD and HFpEF. SAA1, LRG1, APOC3, LCP1, PON1 and C1S are candidate markers for the risk stratification of their associations and potential underlying mechanistic pathways. Show less
Angiopoietin-like peptide 4 (ANGPTL-4) plays an important role in lipid metabolism by inhibiting the enzyme lipoprotein lipase. This effect of ANGPTL-4 results in suppression of the release of plasma Show more
Angiopoietin-like peptide 4 (ANGPTL-4) plays an important role in lipid metabolism by inhibiting the enzyme lipoprotein lipase. This effect of ANGPTL-4 results in suppression of the release of plasma triglyceride-derived fatty acids. Increase in fatty acid levels entering to the liver and abnormalities in their secretion is one of the main mechanisms in pathogenesis of hepatic steatosis. In this study, we aimed to investigate the role of ANGPTL-4 in pathogenesis of hepatic steatosis by determining its levels in patients with fatty liver disease. Totally 51 patients (age: 37.9 ± 9.9 years, M/F) diagnosed with grade 2-3 hepatic steatosis with ultrasound and 30 healthy volunteers (age: 34.8 ± 9.5 years, M/F) were included in the study. In both groups, routine biochemical tests including fasting blood glucose, fasting insulin levels, triglyceride, total cholesterol, LDL- cholesterol, HDL-cholesterol, AST, ALT, ALP, GGT levels were measured together with the ANGPTL-4 levels. In determination of ANGPTL-4 levels, ELISA was performed. When compared with the control group, ANGPTL-4 levels were determined to be decreased in patients with hepatic steatosis (369 ± 243 vs 303 ± 286 ng/mL, p = 0.014). There was a negative weak correlation observed between ANGPTL-4 and triglyceride levels (r = -0.246, p = 0.027). Among all groups, when patients with and without insulin resistance were compared; ANGPTL-4 levels were determined to be similar. While fasting blood glucose levels were similar between 2 groups; fasting insulin and triglyceride levels were determined to be increased in hepatic steatosis group (Insulin 17.7 ± 12 vs 7.4 ± 3.3 µIU/mL, p < 0.001, triglyceride 158 ± 46.4 vs 118 ± 59.8 mg/dL p < 0.001). We have determined lower serum ANGPTL-4 levels in patients with hepatic steatosis. ANGPTL-4 that is regulating LPL activity plays an important role in fatty liver disease pathogenesis via free fatty acid metabolism and peroxisome proliferator-activated receptor-delta (PPAR-δ). We believe that the results of this study would elucidate the investigations about the mechanism of fatty liver disease development and treatments targeting ANGPTL-4. Show less
Previous studies have shown that blood serum phosphoproteins are altered in schizophrenia patients in comparison to controls. However, it is not known whether phosphoproteins are also changed in respo Show more
Previous studies have shown that blood serum phosphoproteins are altered in schizophrenia patients in comparison to controls. However, it is not known whether phosphoproteins are also changed in response to treatment with antipsychotics. Blood samples were taken from patients (n = 23) at baseline and after 6 weeks of olanzapine treatment. Immobilized metal ion affinity chromatography (IMAC) was used for enrichment of serum phosphoproteins and these were analyzed by label-free LC-MS in expression mode (LC-MS(E) ). We identified 11 proteins that were changed significantly in overall abundance and 45 proteins that showed changes in phosphorylation after the antipsychotic treatment. The altered phosphoproteins were mainly involved in the acute phase response, lipid and glucose homeostasis (LXR), retinoic acid signaling (RXR), and complement pathways. Some of the proteins showed a marked increase in phosphorylation, including apolipoprotein A-I (3.4-fold), alpha-1-anti-chymotrypsin (3.1-fold), and apolipoprotein B-100 (2.2-fold). In addition, several proteins showed either decreased phosphorylation (e.g. complement C4A, collagen alpha-1 chain, complement factor H) or a mixture of increased and decreased phoshphorylation (e.g. afamin, complement C5, complement factor B). Finally, 24 of the altered phosphoproteins showed opposite directional changes in a comparison of baseline schizophrenia patients before and after treatment with olanzapine. These included alpha-1B-glycoprotein, apolipoprotein A-IV, vitamin D-binding protein, and prothrombin. These data demonstrate the potential for future studies of serum phosphoproteins as a readout of physiological function and might have utility in studies aimed at identification of biomarkers for drug response prediction or monitoring. Show less