👤 Yavuz Yavuz

This study investigated the effects of periodontitis (P) and non-surgical periodontal therapy (NSPT) on behavior, neurodegeneration, and neuroinflammation in rats with Alzheimer's disease (AD)-like pathology. AD-like pathology was induced in rats (n = 28) using STZ neurodegeneration model. Periodontitis was experimentally induced (n = 32), and half of which received NSPT with Chlorhexidine (CHX) gel. Behavioral assessment included the passive avoidance task (PA) and Morris water maze (MWM). Levels of NLRP3, phosphorylated tau (p-tau), and tau in the hippocampus, cerebrospinal fluid (CSF), and serum were measured by ELISA, while BACE1, IL1β, iNOS, and NF-κβ proteins were assessed by Western blotting. Rats in the AD and AD + P groups performed worse in behavioral tests compared to controls (p < 0.05), whereas the NSPT group showed similar performance to controls (p > 0.05). CSF p-tau levels were comparable between AD and AD + P groups, but the hippocampal p-tau/tau ratio was significantly higher in the AD + P group (p < 0.05). BACE1 levels were similar in P and AD groups. NLRP3 and iNOS levels did not show significant differences across groups. Notably, the NSPT group exhibited reduced NF-κβ levels (p < 0.05). Periodontitis may exacerbate AD-like molecular pathology, particularly by promoting tau hyperphosphorylation, while NSPT appears to mitigate disease progression and improve behavioral outcomes. Show less

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide and is increasingly diagnosed in younger populations. Conventional biopsy techniques can be invasive and may not accurately capture tumor heterogeneity. Liquid biopsy, analyzing circulating tumor DNA (ctDNA), offers a minimally invasive and dynamic alternative for detecting genetic alterations critical to early diagnosis and personalized treatment strategies. We analyzed serum-derived ctDNA from 20 HCC patients to identify genetic variants using next-generation sequencing (NGS). Mutations in key oncogenes and tumor suppressor genes (eg, KIT, FGFR1, FGFR3, EGFR, BRAF, FBXW7) were evaluated for their association with clinical outcomes, including tumor size, metastasis, and overall survival. Statistical analyses were performed using SPSS (v.30), with survival curves assessed via the Kaplan-Meier method. Of the 20 patients (mean age 64.8±13.1 years), 35% had detectable ctDNA mutations. The most frequently observed alterations were in KIT (28.6% of ctDNA-positive patients), followed by FGFR1, FGFR3, EGFR, BRAF, and FBXW7. Patients harboring FGFR1 and FGFR3 mutations exhibited the poorest survival (3 and 7 months, respectively). Conversely, one patient with a BRAF mutation showed prolonged survival (60 months), and KIT mutations were linked to comparatively better outcomes. Overall, ctDNA-positive patients demonstrated shorter mean survival (22.5 months) than ctDNA-negative patients (35.7 months). Liquid biopsy-detected genetic alterations correlate with clinical outcomes in HCC, underscoring the prognostic value of ctDNA analysis. Mutations in FGFR1 and FGFR3 were associated with aggressive disease, suggesting these pathways as potential therapeutic targets. Integrating liquid biopsy with other diagnostic modalities may enhance personalized management and improve prognosis for patients with HCC. Show less

Norepinephrine (NE) is a well-known appetite regulator, and the nor/adrenergic system is targeted by several anti-obesity drugs. To better understand the circuitry underlying adrenergic appetite control, here we investigated the paraventricular hypothalamic nucleus (PVN), a key brain region that integrates energy signals and receives dense nor/adrenergic input, using a mouse model. We found that PVN NE level increases with signals of energy deficit and decreases with food access. This pattern is recapitulated by the innervating catecholaminergic axon terminals originating from NTS Show less

The electron conformational genetic algorithm (EC-GA) method had been employed by distinguishing between enantiomers for the first time as a 4D-QSAR approach to reveal the pharmacophore (Pha) and to predict the bioactivity of the dipeptidyl boron compounds. The Electron Conformational Matrices of Congruity (ECMCs) were prepared for all conformers of compounds in the data set based on the quantum chemical calculations at HF/3-21 G level in an aqueous medium. The comparison of the ECMCs within the certain tolerances by the EMRE program revealed the pharmacophore for some dipeptidyl boron derivatives. For the selection of the most influential parameters on the activity and the calculation of theoretical activities, the genetic algorithm with the non-linear least square method was used. The final model was validated by the cross-validation method with the division of the data set into training and test items. The 12-parameter model gave excellent statistical results (R Show less

In the present work, pharmacophore identification and biological activity prediction for 86 pyrazole pyridine carboxylic acid derivatives were made using the electron conformational genetic algorithm approach which was introduced as a 4D-QSAR analysis by us in recent years. In the light of the data obtained from quantum chemical calculations at HF/6-311 G** level, the Electron Conformational Matrices of Congruity (ECMC) were constructed by EMRE software. Comparing the matrices, electron conformational submatrix of activity (ECSA, Pha) was revealed that are common for these compounds within a minimum tolerance. A parameter pool was generated considering the obtained pharmacophore. To determine the theoretical biological activity of molecules and identify the best subset of variables affecting bioactivities, we used the nonlinear least square regression method and genetic algorithm. The results obtained in this study are in good agreement with the experimental data presented in the literature. The model for training and test sets attained by the optimum 12 parameters gave highly satisfactory results with R2 training= 0.889, q2=0.839 and SEtraining=0.066, q2 ext1 = 0.770, q2 ext2 = 0.750, q2 ext3=0.824, ccctr = 0.941, ccctest = 0.869 and cccall = 0.927. Show less

The EC-GA method was employed in this study as a 4D-QSAR method, for the identification of the pharmacophore (Pha) of ruthenium(II) arene complex derivatives and quantitative prediction of activity. The arrangement of the computed geometric and electronic parameters for atoms and bonds of each compound occurring in a matrix is known as the electron-conformational matrix of congruity (ECMC). It contains the data from HF/3-21G level calculations. Compounds were represented by a group of conformers for each compound rather than a single conformation, known as fourth dimension to generate the model. ECMCs were compared within a certain range of tolerance values by using the EMRE program and the responsible pharmacophore group for ruthenium(II) arene complex derivatives was found. For selecting the sub-parameter which had the most effect on activity in the series and the calculation of theoretical activity values, the non-linear least square method and genetic algorithm which are included in the EMRE program were used. In addition, compounds were classified as the training and test set and the accuracy of the models was tested by cross-validation statistically. The model for training and test sets attained by the optimum 10 parameters gave highly satisfactory results with R2 training= 0.817, q 2=0.718 and SEtraining=0.066, q2 ext1 = 0.867, q2 ext2 = 0.849, q2 ext3 =0.895, ccctr = 0.895, ccctest = 0.930 and cccall = 0.905. Since there is no 4D-QSAR research on metal based organic complexes in the literature, this study is original and gives a powerful tool to the design of novel and selective ruthenium(II) arene complexes. Show less