PubMed İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12514/3597

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Alpha-lipoic acid may ameliorate testicular damage by targeting dox-induced altered antioxidant parameters, mitofusin-2 and apoptotic gene expression
(Andrologia, 2021) Güzel, Elif Erdem; Kaya Tektemur, Nalan; Tektemur, Ahmet
In the study, the ameliorating effects of alfa lipoic acid (ALA) against doxorubicin-induced testicular apoptosis, oxidative stress and disrupted mitochondrial fusion were investigated in male rats. Rats were divided into four groups as control, doxorubicin (DOX), DOX + ALA and ALA. A single dose of 15 mg/kg DOX was administered i.p to the DOX and DOX + ALA groups. 50 mg/kg ALA was given to the DOX + ALA and ALA groups by oral gavage every other day. After 28 days, rat testes and serum samples were collected and analysed. Administration of DOX alone caused a decrease in body and relative testicular weights, seminiferous tubule diameter and germinal epithelium thickness, Johnsen's score and serum testosterone levels. DOX treatment led to severe testicular damage such as tubular degeneration, and atrophic tubules. Also, the activities of superoxide dismutase and glutathione peroxidase were reduced, while the level of malondialdehyde was increased in the testis. The mRNA levels of apoptotic-related genes (CASP3, TP53, BAX, BCL2) and apoptotic index were increased, while mitofusin-2 decreased. DOX caused an increase in CASP3 and a decrease in mitofusin-2 immunoreactivities. Treatment with ALA markedly improved all of DOX-induced biochemical, histochemical and molecular alterations in rat testis. Consequently, ALA has a therapeutic role in ameliorating DOX-induced testicular damage in rats.
An Examination of the Effects of Propolis and Quercetin in a Rat Model of Streptozotocin-Induced Diabetic Peripheral Neuropathy
(Mdpi, 2024) Tueredi, Sibel; Celik, Hakim; Dagli, Seyda Nur; Taskin, Seyhan; Seker, Ugur; Deniz, Mustafa
The purpose of this study was to reveal the combined effects of propolis (P) and quercetin (Q) against diabetic peripheral neuropathy developing with streptozotocin-induced diabetes in rats. Sixty-four adult male rats were divided into eight equal groups: control, P (100 mg/kg/day), Q (100 mg/kg/day), P + Q (100 mg/day for both), diabetes mellitus (DM) (single-dose 60 mg/kg streptozotocin), DM + P, DM + Q, and DM + P + Q. The rats were sacrificed, and blood and sciatic nerve tissues were collected. Blood glucose and malondialdehyde (MDA) levels increased, while IL-6 and total antioxidant status decreased in the DM group (p = 0.016 and p = 0.047, respectively). Ultrastructural findings showed degeneration of the axon and myelin sheath. The apoptotic index (AI %), TNF-alpha, and IL-1 beta immunopositivity increased significantly in the DM group (p < 0.001). Morphological structures approaching those of the controls were observed in the DM + P, DM + Q, and DM + P + Q groups. Morphometric measurements increased markedly in all treatment groups (p < 0.001), while blood glucose and MDA levels, AI (%), TNF-alpha, and IL-1 beta immunopositivity decreased. In conclusion, the combined effects of propolis and quercetin in diabetic neuropathy may provide optimal morphological protection with neuroprotective effects by reducing hyperglycemia, and these may represent a key alternative supplement in regenerative medicine.
Analysis of bioactive compounds using LC-ESI-MS/MS, cytotoxic, antimicrobial effects, and enzyme activities from Cyclotrichium origanifolium
(Wiley Online Library, 2022) Aktepe, Necmettin; Baran, Ayşe; Atalar, Mehmet Nuri; Baran, Mehmet Fırat; Keskin, Cumali; Taşkin, Abdullah; Yavuz, Ömer; Demirtaş, İbrahim; Oğuz, Ercan; Jahan, Israt
Cyclotrichium origanifolium is a medicinal plant belonging to the Lamiaceae family. In this study, phenolic content analysis, antimicrobial effects, and cytotoxic effects of extracts of C. origanifolium were investigated. In the extracts, phenolic compound analysis by the liquid chromatography–electrospray ionization– tandem mass spectrometry method, antimicrobial effect by the minimum inhibition concentration method, and cytotoxic effect on human dermal fibroblasts (HDF), glioblastoma cell (U87), ovarian adenocarcinoma cell (Skov-3), and human colorectal adenocarcinoma cell (CaCo-2) cancer cell lines were investigated. Cytotoxicity analyses were performed by the MTT method. In addition, the GST and AChE enzyme activities of the extracts were also measured. Around 18 compounds were detected in both the methanol and ethanol extract. It was found that the best antimicrobial effect on Gram-negative Pseudomonas aeruginosa was on methanol extract, while the ethanol extract was on Candida albicans fungus (respectively, 2.50mg/ml, 5.0 μg/ml). A 500μg/ml of methanol extract has been shown to have cytotoxic activity high effect on HDF cells. GST and AChE activity were found to decrease in a concentration-dependent manner.
Anatolian Medicinal Plants as Potential Antiviral Agents: Bridging Traditional Knowledge and Modern Science in the Fight Against Covid-19 and Related Viral Infections
(Tubitak Scientific & Technological Research Council Turkey, 2024) Tilkat, Engin; Jahan, Israt; Hoser, Ayse; Kaplan, Alevcan; Ozdemir, Oguzhan; Onay, Ahmet
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was the cause of the coronavirus 2019 (COVID-19), commonly known as the coronavirus pandemic. Since December 2020, COVID-19 vaccines have been extensively administered in numerous countries. In addition to new antiviral medications, the treatment regimen encompasses symptom management. Despite sustained research efforts, the outbreak remains uncontrolled, with affected patients still lacking proper treatment. This review is a valuable asset for researchers and practitioners aiming to delve into the yet unexplored potential of Anatolian flora in the fight against COVID-19 and other viral infections. Numerous medicinal plants in Anatolia, such as thyme, sage, cannabis, oregano, licorice root, and Origanum sp., contain bioactive compounds with proven antiviral properties that have been used in the region for centuries. The rich legacy of traditional Anatolian medicine (TAM), has significantly influenced modern medicine; thus, the profusion of medicinal plants native to Anatolia holds promise for antiviral drug development, making this review essential for researchers and practitioners.
The antioxidant and anti-apoptotic potential of Pleurotus eryngii extract and its chitosan-loaded nanoparticles against doxorubicin-induced testicular toxicity in male rats
(Wiley, 2021) Erdem Güzel, Elif; Kaya Tektemur, Nalan; Tektemur, Ahmet; Acay, Hilal; Yıldırım, Ayfer
This study was conducted to evaluate the protective role of Pleurotus eryngii extract (PE) and Pleurotus eryngii extract-loaded chitosan nanoparticles (PE-CSNP) against doxorubicin (DOX)-induced testicular toxicity in rats. Male rats were divided into six groups: control (DMSO/ethanol), PE (200 mg/kg PE), PE-CSNP (30 mg/kg PECSNP), DOX (10 mg/kg DOX, a single dose, i.p), DOX+PE (10 mg/kg DOX+200 mg/ kg PE) and DOX+PE-CSNP (10 mg/kg DOX+30 mg/kg PE-CSNP). PE and PE-CSNP were administered by oral gavage every other day for 21 days. DOX-treated rats showed histopathological impairment compared with the control group. There was an increase in the apoptotic index, caspase 3 (CASP3), BCL2-associated X apoptosis regulator (BAX), dynamin-related protein 1 (DRP1) expression and total oxidative status (TOS) in the DOX group, while mitofusin-2 (MFN2), total antioxidative status (TAS) and serum testosterone levels of the DOX group reduced when compared with the other groups. PE and PE-CSNP treatments provided significant protection against DOX-induced oxidative stress by reducing TOS levels and increasing TAS levels. CASP3, BAX, apoptotic index and DRP1-MFN2 expressions were restored by PE and PE-CSNP. However, the PE-CSNP showed higher antioxidant and anti-apoptotic efficacy compared with PE. Thus, our results provide evidence that CSNP and PE could synergistically have a potent antioxidant and anti-apoptotic therapy against DOX-induced testicular damage in male rats.
Association Between Abo Blood Group, Peripheral Artery Disease Lesion Severity, and Coronary Artery Disease Coexistence
(Elsevier Inc., 2025) Evsen, A.; Aktan, A.; Kılıç, R.; Özbek, M.
Background: This study aims to investigate the relationship between ABO blood groups and the severity of peripheral artery disease (PAD) lesions, the coexistence of coronary artery disease (CAD) with PAD, and to identify which blood groups may be more predisposed to these conditions. Methods: This study, which has a single-center and retrospective design, includes 305 patients diagnosed with peripheral artery disease (PAD) between 2015 and 2021. The patients were selected from those with at least 50% stenosis detected by computed tomography (CT) angiography. The severity of PAD lesions was evaluated according to the TransAtlantic Inter-Society Consensus (TASC-II) classification, and the presence of CAD was determined by simultaneous conventional coronary angiography. Demographic data, comorbidities, and laboratory results were collected, and statistical analyses were performed using chi-square tests, logistic regression, and t-tests. All of these patients were divided into 2 groups based on their ABO blood types: O and non-O blood groups. Results: This study demonstrates a significant relationship between blood group classification and both the severity of PAD and the prevalence of CAD. Patients with non-O blood groups exhibited a higher likelihood of having severe PAD lesions (TASC-C and TASC-D) compared to those with O blood groups, who more frequently had milder lesions (TASC-A and TASC-B) (P < 0.001). The prevalence of CAD was also significantly higher among patients with non-O blood groups than those with the O blood group (54.4% vs. 36.4%; P = 0.003). In the logistic regression analysis, non-O blood groups, alongside age, hypertension (HT), and chronic kidney disease (CKD), emerged as independent predictors of severe PAD (P < 0.001 for non-O blood groups). Similarly, older age and non-O blood group status were identified as significant independent predictors of CAD (P = 0.004). These findings suggest that blood group classification, particularly non-O groups, may influence the severity and coexistence of PAD and CAD. Conclusion: Our study reveals a significant association between ABO blood groups and both the severity of PAD and the association of CAD, and shows that non-O blood groups are linked to more severe forms of these conditions. These findings highlight the potential role of ABO blood groups in cardiovascular risk stratification, suggesting a need for further research to confirm these associations and understand their clinical implications. © 2025 Elsevier Inc.
Association Between the Triglyceride-Glucose Index and Contrast-Induced Nephropathy in Chronic Total Occlusion Patients Undergoing Percutaneous Coronary Intervention
(Bmc, 2025) Soner, Serdar; Aktan, Adem; Kilic, Raif; Guzel, Hamdullah; Tastan, Ercan; Oksul, Metin; Guzel, Tuncay
Objective The triglyceride glucose (TyG) index is a biomarker of insulin resistance and is associated with an increased risk of cardiovascular events. Contrast-induced nephropathy (CIN) is an important complication that causes poor outcomes in patients undergoing percutaneous coronary intervention (PCI). In this study, we aimed to investigate the relationship between the TyG index and CIN and mortality in patients who underwent PCI due to chronic total coronary occlusion (CTO). Methods Two hundred eighteen individuals from three separate medical centers who underwent procedural PCI between February 2010 and April 2012 and had a CTO lesion in at least one coronary artery were recruited. According to the TyG index, patients were divided into two groups. Patients with a TyG index >= 8.65 were included in Group 1, and patients with a TyG index < 8.65 were included in Group 2. Patients were followed up for 96 months. The main outcome was the development of CIN and mortality. Results The mean age of the patients (65.8 +/- 10.94 vs. 61.68 +/- 11.4, P = 0.009), diabetes mellitus (60 [44.8%] vs. 11 [13.1%], P < 0.001), and dyslipidemia rates (52 [38.8%] vs. 21 [25%], P = 0.036) were higher in group 1. In multivariable logistic regression analysis, it was seen that age (OR = 1.04, 95% CI = 1.01-1.08, P = 0.020), chronic kidney disease (OR = 2.34, 95% CI = 1.02-5.33, P = 0.044), peripheral artery disease (OR = 5.66, 95% CI = 1.24-25.91, p = 0.026), LVEF (OR = 0.95, 95% CI = 0.92-0.99, P = 0.005), LDL cholesterol levels (OR = 1.00, 95%CI = 1.00-1.02, P = 0.024) and TyG index (OR = 2.17, 95% CI = 1.21-3.89, P = 0.009) were independent predictors of the development of CIN. Conclusion Our study demonstrates a correlation between the TyG index and the prevalence of CIN in patients with CTO undergoing PCI. Adding the TyG index to the routine clinical evaluation of patients with CTO undergoing PCI may help protect patients from the development of CIN.
Association with Leptin Gene c.-2548 G > A Polymorphism, Serum Leptin Levels, and Body Mass Index in Turkish Obese Patients
(HUMANA PRESS INC, 2013) Say Şahin, Deniz; Tümer, Cemil; Demir, Cemil; Çelik, M. Murat; Çelik, Mustafa; Uçar, Edip; Güneşaçar, Ramazan
Leptin is a protein hormone which plays a critical role in the regulation of both body-weight through reducing food intake and stimulating energy expenditure. Several polymorphisms in leptin gene (LEP), which encodes for leptin, have been described. However, its association with obesity is still controversial. Therefore, in the present study, we aimed to investigate whether LEP c.-2548 G > A polymorphism was associated with serum leptin levels, lipid parameters, and body mass index in Turkish obese patients. Forty-seven obese patients and 48 healthy individuals were included in the study. Blood samples were collected for DNA extraction. LEP c.-2548 G > A polymorphism were detected using polymerase chain reaction-restriction fragment length polymorphism technique. Serum leptin levels and lipid parameters were measured by ELISA and enzyme colorimetric assay techniques, respectively. GA or AA genotypes and A allele carrier frequencies of the c.-2548 G > A polymorphism in the LEP were higher in obese (38.3, 34.0 and 72.3 %) when compared with controls (14.6, 12.5, and 27.1 %; p = 0.011, 0.016, and 0.002, respectively). On the other hand, AA or AG genotypes were also related to increased serum leptin levels (p < 0.001) and body mass index (p < 0.0001). All these consequences showed that LEP -2548 AA or AG genotypes are important predictors for increased levels of leptin and BMI in Turkish obese patients and it may be a useful marker for obesity risk in our population.
Automatic Detection of Brain Tumors With the Aid of Ensemble Deep Learning Architectures and Class Activation Map Indicators by Employing Magnetic Resonance Images
(Elsevier, 2024) Turk, Omer; Ozhan, Davut; Acar, Emrullah; Akinci, Tahir Cetin; Yilmaz, Musa; Türk, Ömer
Today, as in every life-threatening disease, early diagnosis of brain tumors plays a life-saving role. The brain tumor is formed by the transformation of brain cells from their normal structures into abnormal cell structures. These formed abnormal cells begin to form in masses in the brain regions. Nowadays, many different techniques are employed to detect these tumor masses, and the most common of these techniques is Magnetic Resonance Imaging (MRI). In this study, it is aimed to automatically detect brain tumors with the help of ensemble deep learning architectures (ResNet50, VGG19, InceptionV3 and MobileNet) and Class Activation Maps (CAMs) indicators by employing MRI images. The proposed system was implemented in three stages. In the first stage, it was determined whether there was a tumor in the MR images Tumor) were detected from MR images (Multi-class Approach). In the last stage, CAMs of each tumor group were created as an alternative tool to facilitate the work of specialists in tumor detection. The results showed that the overall accuracy of the binary approach was calculated as 100% on the ResNet50, InceptionV3 and MobileNet architectures, and 99.71% on the VGG19 architecture. Moreover, the accuracy values of 96.45% with ResNet50, 93.40% with VGG19, 85.03% with InceptionV3 and 89.34% with MobileNet architectures were obtained in the multi-class approach.
Biosensors for the Detection of Pathogenic Bacteria: Current Status and Future Perspectives
(Taylor and Francis Ltd., 2024) Dicle, Y.; Karamese, M.
Pathogenic microorganisms pose significant threats to human health, food safety and environmental integrity. Rapid and accurate detection of these pathogens is essential to mitigate their impact. Fast, sensitive detection methods such as biosensors also play a critical role in preventing outbreaks and controlling their spread. In recent years, biosensors have emerged as a revolutionary technology for pathogen detection. This review aims to present the current developments in biosensor technology, investigate the methods by which these developments are used in the detection of pathogenic bacteria and highlight future perspectives on the subject. © 2024 Expert Publishing Medicine Ltd trading as Taylor & Francis.
Carbamazepine-induced renal toxicity may be associated with oxidative stress and apoptosis in male rat
(Taylor & Francis Online, 2021) Erdem Güzel, Elif; Kaya Tektemur, Nalan; Tektemur, Ahmet; Etem Önalan, Ebru
Carbamazepine (CBZ) is the antiepileptic drug used in epilepsy and some psychiatric disorders. Besides its widely used, many adverse effects have been reported including hematotoxicity, hepatotoxicity, endocrine disorders, and testicular damages due to oxidative stress. However, the role of CBZ on renal toxicity is not fully known. In this study, we attempted to explain the connected mechanisms by focusing on the metabolism of CBZ-induced renal toxicity in rats. Twenty male Wistar-Albino rats were randomized into 2 groups (n = 10); control (1 mL/day distilled water, orally) and CBZ (25 mg/kg/day CBZ, orally) groups. After 60 days, TAS (total oxidant status) and TOS (total oxidant status) levels, histopathological features, some genes involved in apoptosis, 8-hydroxy-2-deoxyguanosine (8-OHdG) activity, and apoptotic cells were assessed of kidney tissue. The oxidative stress index (OSI) was measured from TAS and TOS levels. TOS levels and OSI significantly increased, while TAS levels decreased in the CBZ group relative to the control group. Histopathological observations, Caspase-3 (Casp3), Poly [ADP-ribose] polymerase-1 (PARP-1), 8-OHdG immunoreactivities, and apoptotic cells markedly raised in the CBZ group compared with the control group. Also, mRNA expression of Cytochrome c (Cytc) and CASP3 significantly increased in the CBZ group compared to the control group. In conclusion, long-term use of CBZ may promote renal damage in rats by inducing oxidative stress and apoptosis.
Chronic effects of maternal tobacco-smoke exposure and/or α-lipoic acid treatment on reproductive parameters in female rat offspring
(Taylor & Francis Online, 2020) Erdem Güzel, Elif; Nalan Kaya, Ahmet Tektemur, Nazife Ulker, Ahmet Yardimci, Ramazan Fazil Akkoc, Sinan Canpolat & Ibrahim Enver
Prenatal tobacco-smoke exposure negatively affects the reproductive functions of female offspring and oxidative stress plays a major role at this point. Alpha-lipoic acid (ALA), well known as a biological antioxidant, has been used as a nutritional supplement and as a therapeutic agent in the treatment of certain complications during pregnancy. We aimed to investigate the effects of maternal tobacco-smoke exposure and/or ALA administration on puberty onset, sexual behavior, gonadotrophin levels, apoptosis-related genes, apoptotic cell numbers and oxidative stress markers in the adult female rat offspring. Sprague-Dawley rats were divided into four groups; control, tobacco smoke (TS), TS+ALA and ALA groups. Animals were exposed to TS and/or ALA for 8 weeks before pregnancy and throughout pregnancy. All treatments ended with birth and later newborn female rats were selected for each experimental group. The experiment ended at postnatal day 74-77. Maternal tobacco smoke advanced the onset of puberty in the female offspring of the TS group (p < 0.05). In all treatment groups; the mean number of anogenital investigations and lordosis quality scores showed a decline, serum luteinizing hormone levels significantly increased (p < 0.05) and several histopathological changes in ovaries were observed compared to the control group. In addition, an increase in apoptotic marker levels and apoptotic cell numbers was detected in the ovaries of all treatment groups. Decreased TAS and increased TOS levels were detected in all treatment groups compared to control. These findings suggested that maternal tobacco smoke and/or ALA administration may be leading to the impaired reproductive health of female offspring. Abbreviations: ALA: alpha-lipoic acid; LH: luteinizing hormone; FSH: follicle-stimulating hormone; TAS: total antioxidant status; TOS: total oxidant status; Apaf1: apoptotic protease-activating factor 1; Casp3: caspase 3; Casp9: caspase 9; CF: cyst follicles; 4-HNE: 4-Hidroxynonenal; 8-OHdG: 8-hydroxydeoxyguanosine; TUNEL: terminal deoxynucleotidyl transferase-mediated deoxyuridine-biotin nick end labeling; ROS: reactive oxygen species; GnRHR: gonadotropin-releasing hormone receptor; HPG: hypothalamic-pituitary-gonadal; AMPK: AMP-activated protein kinase; ELISA: enzyme-linked immunosorbent assay; cDNA: complementary DNA; qPCR: quantitative real-time PCR; FC: follicular cysts; PF: primary follicle; SF: secondary follicle; GF: graafian follicle; CL: corpus luteum; DF: degenerated follicle; AF: atretic follicle.
A Class Activation Map-Based Interpretable Transfer Learning Model for Automated Detection of ADHD from fMRI Data
(Sage Journals, 2022) Uyulan, Caglar; Erguzel, Turker Tekin; Türk, Ömer; Farhad, Shams; Metin, Bariş; Tarhan, Nevzat; Türk, Ömer
Automatic detection of Attention Deficit Hyperactivity Disorder (ADHD) based on the functional Magnetic Resonance Imaging (fMRI) through Deep Learning (DL) is becoming a quite useful methodology due to the curse of-dimensionality problem of the data is solved. Also, this method proposes an invasive and robust solution to the variances in data acquisition and class distribution imbalances. In this paper, a transfer learning approach, specifically ResNet-50 type pre-trained 2D-Convolutional Neural Network (CNN) was used to automatically classify ADHD and healthy children. The results demonstrated that ResNet-50 architecture with 10-k cross-validation (CV) achieves an overall classification accuracy of 93.45%. The interpretation of the results was done via the Class Activation Map (CAM) analysis which showed that children with ADHD differed from controls in a wide range of brain areas including frontal, parietal and temporal lobes.
The Clinical and Laboratory Features of Patients With Triple a Syndrome: a Single-Center Experience in Turkey
(Springer, 2023) Yıldırım, R.; Unal, E.; Tekmenuray-Unal, A.; Taş, F.F.; Özalkak, Ş.; Çayır, A.; Özbek, M.N.
Aim: Triple-A Syndrome (TAS) is a rare autosomal recessive disorder characterized by adrenal insufficiency, achalasia, and alacrimia. This disorder is caused by mutations in the AAAS gene. The aim of this study is to discuss the clinical, laboratory and molecular genetic analysis results of 12 patients with TAS. Method: We evaluated 12 patients from 8 families. Clinical and laboratory data were retrospectively collected from the medical records of the patients in the database for the period 2015–2020. All exons and exon-intron junctions of the AAAS gene were evaluated by next-generation sequencing method. Detected variants were classified according to American Collage of Medical Genetics criteria. Results: Alacrimia was found in all patients (100%); achalasia was found in 10 patients (83.3%) and adrenal insufficiency was found in 10 patients (83.3%). In addition, hyperreflexia(6/12), learning disability(5/12), hypernasal speech(5/12), muscle weakness(8/12), delayed walking(7/12), delayed speech(6/12), excessive sweating(7/12), optic atrophy(1/12), epilepsy(1/12), palmoplantar hyperkeratosis(5/12), multiple dental caries(9/12), atrophy of the thenar/hypothenar muscles(4/12) and short stature(4/12) were detected. The DHEA-S levels were measured in 10 patients and were found to be low in 8 of them. In all patients, the sodium and potassium levels were found to be normal. AAAS gene sequencing revealed four previously reported c.1066_1067del (p.Leu356fs*8), c.1432 C > T (p.Arg478*), c.688 C > T (p.Arg230*), and c.1368_1372del (p.Gln456fs*38) variants and two novel homozygous c.1250-1 G > A and c.398_399 + 2del variants in the AAAS gene. Conclusion: We detected two novel variants in the AAAS gene. While the classic triad is present in 66.7% of the cases, neurological dysfunction, skin and dental pathologies also occur quite frequently. The earliest and most common finding of TAS is alacrimia. Therefore, adrenal insufficiency should be investigated in all patients with alacrimia and if necessary, genetic analysis should be performed for TAS. In addition, TAS should be followed up with a multidisciplinary approach since it involves many systems. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Comparison of Orexigenic and Anorexigenic Neuropeptide Levels in Hyperemesis Gravidarum Patients With Normal Pregnant Women: a Prospective Cohort Study
(Lippincott Williams & Wilkins, 2024) Yilmaz, Mehmet; Aksin, Serif; Balsak, Deniz; Aboalhasan, Yasmin; Batmaz, Ibrahim
Background: The aim of this study was to determine whether orexigenic neuropeptides, orexin and galanin, and anorexigenic neuropeptides, alpha-melanocyte-stimulating hormone (alpha-MSH) and cocaine- and amphetamine-regulated transcript (CART), are implicated in hyperemesis gravidarum (HG). Methods: Fifty pregnant women who had been diagnosed with HG between April 2022 and February 2023 at the Siirt University Faculty of Medicine Training and Research Hospital (tertiary center) were recruited for this study. An equal number of pregnant women without an HG diagnosis were included in the study as the control group. Participants' age, pregnancy history, medical history, thyroid function test results, complete blood count results, and electrolyte levels were recorded, and their orexin, galanin, alpha-MSH, and CART serum levels were analyzed using an enzyme-linked immunosorbent assay. Results: No statistically significant differences in orexigenic neuropeptides (orexin and galanin) were observed between the HG and control groups. A statistical difference was found between an anorexigenic neuropeptide (alpha-MSH) and the control group (P = .012). Based on a receiver operating characteristic analysis, the alpha-MSH parameter was statistically significant for distinguishing between participants with an HG diagnosis and those without, with a sensitivity of 63.6%, specificity of 65.9%, and cutoff value of 11769.3 pg/mL (P = .012, area under curve: 0.655). Based on the severity classification of ketonuria (ketonuria levels of +1 or +2 were classified as mild, whereas levels of +3 or +4 were classified as moderate to severe), the anorexigenic CART neuropeptide was found to be a statistically significant diagnostic indicator of severe ketonuria (P = .020). Conclusion: alpha-MSH and CART levels were found to be related in HG patients and in HG patients with severe ketonuria.
Cyclophosphamide induced oxidative stress, lipid per oxidation, apoptosis and histopathological changes in rats: Protective role of boron
(Elsevier, 2020) Cengiz, Mustafa; Şahintürk, Varol; Cetik Yildiz, Songul; Kurcanay Şahin, İlknur; Bilici, Namık; Onur Yaman, Suzan; Altuner, Yılmaz; Appak-Baskoy, Sıla; Ayhanci, Adnan
Background Cyclophosphamide (CP) is an alkylating chemotherapeutic drug used in the treatment of many types of cancer. However, as with other chemotherapeutic drugs, the use of CP is limited by the damage to healthy tissues such as testes, bladder and liver as well as cancerous tissue. Boron (B) is a trace element with many biological properties such as antioxidant, anti-apoptotic and anti-lipid per oxidation. Methods This current study aims to determine protective effects of B on CP induced testicular toxicity. The rats were divided into 4 groups (control, CP, B and B plus CP groups). The testes of experimental animals were taken for histological, apoptotic markers and biochemical analysis. Results The damage to some seminifer tubules, loss of typical appearance, thinning of seminifer epithelium and relative enlargement of the tubule lumen were watched in testis of the group that administrated CP. Moreover, Bcl-2, TAC and GSH levels decreased while TOC, OSI, MDA, Bax and Caspase-3 levels increased. On the other hand, pretreatment limited to B in the B plus CP group, testicular tissue improved. In addition, Bcl-2, GSH, TAC levels increased, Bax, MDA, TOC, OSI and caspase-3 levels decreased. Conclusion B significantly reduced testicular lipid per-oxidation and strengthened antioxidant defenses. Our results showed that pre-treatment B can protect rat testis against CP-induced testicular damage owing to its anti-lipid per oxidation, anti-oxidant and anti-apoptotic properties.
The Deep Learning Method Differentiates Patients With Bipolar Disorder From Controls With High Accuracy Using Eeg Data
(Sage Publications inc, 2024) Metin, Baris; Uyulan, Caglar; Erguzel, Turker Tekin; Farhad, Shams; Cifci, Elvan; Turk, Omer; Tarhan, Nevzat; Türk, Ömer
Background: Bipolar disorder (BD) is a mental disorder characterized by depressive and manic or hypomanic episodes. The complexity in the diagnosis of Bipolar disorder (BD) due to its overlapping symptoms with other mood disorders prompted researchers and clinicians to seek new and advanced techniques for the precise detection of Bipolar disorder (BD). One of these methods is the use of advanced machine learning algorithms such as deep learning (DL). However, no study of BD has previously adopted DL techniques using EEG signals. Method: EEG signals of 169 BD patients and 45 controls were cleaned from the artifacts and processed using two different DL methods: a one-dimensional convolutional neural network (1D-CNN) combined with the long-short term memory (LSTM) and a two-dimensional convolutional neural network (2D-CNN). Additionally, Class Activation Maps (CAMs) acquired from the bipolar and control groups were used to obtain distinctive regions to specify a particular class in an image. Results: Group identifications were confirmed with 95.91% overall accuracy through the 2D-CNN method, demonstrating very high sensitivity and lower specificity. Also, the overall accuracy obtained from the 1D-CNN + LSTM method was 93%. We also found that F4, C3, F7, and F8 electrode activities produce predominant features to detect the bipolar group. Conclusion: To our knowledge, this study used EEG-based DL analysis for the first time in BD. Our results suggest that the raw EEG-based DL algorithm can successfully differentiate individuals with BD from controls. Class Activation Map (CAM) analysis suggests that prefrontal changes are predominant in EEG data of patients with BD.
Deep Learning-Based Artificial Intelligence Can Differentiate Treatment-Resistant and Responsive Depression Cases With High Accuracy
(Sage Publications inc, 2025) Metin, Sinem Zeynep; Uyulan, Caglar; Farhad, Shams; Erguzel, Tuerker Tekin; Turk, Omer; Metin, Baris; Tarhan, Nevzat; Türk, Ömer
Background: Although there are many treatment options available for depression, a large portion of patients with depression are diagnosed with treatment-resistant depression (TRD), which is characterized by an inadequate response to antidepressant treatment. Identifying the TRD population is crucial in terms of saving time and resources in depression treatment. Recently several studies employed various methods on EEG datasets for automatic depression detection or treatment outcome prediction. However, no previous study has used the deep learning (DL) approach and EEG signals for detecting treatment resistance. Method: 77 patients with TRD, 43 patients with non-TRD, and 40 healthy controls were compared using GoogleNet convolutional neural network and DL on EEG data. Additionally, Class Activation Maps (CAMs) acquired from the TRD and non-TRD groups were used to obtain distinctive regions for classification. Results: GoogleNet classified the healthy controls and non-TRD group with 88.43%, the healthy controls and TRD subjects with 89.73%, and the TRD and non-TRD group with 90.05% accuracy. The external validation accuracy for the TRD-non-TRD classification was 73.33%. Finally, the CAM analysis revealed that the TRD group contained dominant features in class detection of deep learning architecture in almost all electrodes. Limitations: Our study is limited by the moderate sample size of clinical groups and the retrospective nature of the study. Conclusion: These findings suggest that EEG-based deep learning can be used to classify treatment resistance in depression and may in the future prove to be a useful tool in psychiatry practice to identify patients who need more vigorous intervention.
Development of Armillae mellea immobilized nanodiamond for the preconcentrations of Cr(III), Hg(II) and Zn(II)
(Analytical Biochemistry, 2021) Kılınç, Ersin; Ozdemir, Sadin; Şen, Fatih; Soylak, Mustafa
In this study, we present an environmental friend and easy procedure for simultaneous preconcentration of Cr(III), Hg(II) and Zn(II) by solid-phase extraction before their determination by inductively coupled plasma optical emission spectrometry. Armillae mellea immobilized nanodiamond was used as sorbent. During the study, critical parameters influencing the extraction performance were investigated in detail. The best parameters were found as pH 5.0, 2.0 mL min−1 of flow rate, 200 mg of Armillae mellea, 300 mL of sample volume. LOD values were found as 0.025, 0.13 and 0.038 ng mL−1, respectively for Cr(III), Hg(II) and Zn(II). By applying the developed procedure, sensitivities of ICP-OES were improved for 60 fold for Cr(III), Hg(II) and Zn(II). Their concentrations in different food samples were measured after microwave digestion and solid-phase extraction.
Eating Behavior Changes of People With Obesity During the Covid-19 Pandemic
(Dove Medical Press Ltd, 2021) Deger, Vasfiye Bayram
Objective: The precautions taken during the pandemic period may cause stress-related eating behavior disorders. It was aimed to test this hypothesis, and the study was carried out to examine pandemic measures the effect of on the nutritional, depression and stress conditions of people with obesity. Methods: The individuals who participated in the study were people with obesity who received follow-up dietary therapy in a private hospital. Three separate scales were applied to the individuals, which measured the desire to overeating request, depression status and stress-fighting status. Results: This study was conducted on 368 individuals. Women had lower values of BMI (28.57 +/- 3.89 kg/cm(2)) than men ( 30.64 +/- 2.87 kg/cm(2)). When the scores of the excessive eating request scale mean scores before and during the pandemic were examined, it was seen that the scores of the individuals increased during the pandemic. In the multivariate regression model, it was seen that the increase of stress and BMI increased the FCQ score (p<0.001). Multiple regression models were created by taking into account the criteria that caused the score increase. Each variable can predict the FCQ score separately. The predictor significance order of variants on FCQ score beta values is as follows: the Patient Health Questionnaire-9 (PHQ-9) (beta=0.774), before pandemic FCQ (beta = 0.601), the Perceived Stress Scale ( PSS) (beta=-0.268), before pandemic BMIa (beta=-0.223), during pandemic BMIb (beta=0.073), and age (beta=-0.013). Conclusion: COVID-19 pandemic, making applications such as quarantine in pandemic processes has successful results in being able to combat its. However, undesirable conditions such as stress can have serious negative consequences on other health measurements. It was observed in the results of this study that excessive eating food desire developed in people with obesity.

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