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U?INEK ANAEROBNEGA TRENINGA NA AKTIVNOST SERUMSKE PARAOKSONAZE 1 (PON1) IN VLOGA POLIMORFIZMA PON1-L55M
No full textParaoxonase (PON) enzyme family (paraoxonase 1, 2 and 3) has antiatherosclerotic properties. The decreased PON1 enzyme activity (EA), PON1 level and PON1-L55M polymorphism (PON1P) are risk factors for atherosclerosis. Effects of anaerobic training on PON1 levels and the role of PON1P are unclear. In present study, the effects of anaerobic training on serum PON1 level, PON1EA, high density lipoprotein (HDL) and its subgroups’ paraoxonase activities (HDLPON1EA, HDL2PON1EA, HDL3PON1EA) as well as the role of PON1P were investigated. The trained male athletes group (handball, basketball, volleyball) (AG: n=36, age=20.56±2.42 years) and the control group (CG: n=39, age=22.26±3.44 years) participated in this study. The PON1 and HDL’s PON1 enzyme activities, the protein levels of PON1 enzyme, oxidized low-density lipoprotein (oxLDL) levels and the PON1P (from genomic DNA samples) were determined. Serum PON1EA, HDLPON1EA, HDL2PON1EA and HDL3PON1EA enzyme activities of the athletic homozygous LL and M carrier (Mc) groups were not significantly different from sedentary, however the indicated enzyme activities of the athletic LL homozygous group were significantly higher than athletic Mc group (p<0.05). While the control genotype groups were compared, the control LL (CLL) genotype group had higher serum PON1EA (38.7%), HDLPON1EA (37.2%), HDL2PON1EA (41.9%) and HDL3PON1EA (33.1%) values than control Mc (CMc) genotype. These findings indicate that the genetically higher PON1EA and HDL and its subgroups’ PON1EA in LL genotype group may have an important role in the beneficial effects of anaerobic training. However, the Mc genotype group was genetically negatively affected from anaerobic training. Therefore, it was concluded that high intensity training may be a risk factor for atherosclerosis in athletes with Mc genotype. © 2025 Elsevier B.V., All rights reserved
Trappsol® cyclo™: Open label treatment in the transportnpcTM sub-study in patients under the age of 3 diagnosed with Niemann-Pick disease type C1
No full text[Abstract Not Acaileble
A rare case of Yersinia pseudotuberculosis liver abscess and bacteremia in a heterozygous carrier of HFE1 H63D and MPEG1 mutations in Turkiye
No full textYersinia pseudotuberculosis is a rare pathogenic organism in humans and is encountered mostly in patients with acquired or hereditary iron overload. This case report presents such a case with no known risk factors for iron overload, except heterozygous mutations in MPEG1 and HFE genes, while presenting the first patient with Y. pseudotuberculosis liver abscess in Turkiye. Here we present a 63-years-old male with known long-standing hypertension, type 2 diabetes, peripheral artery disease and chronic kidney disease presenting with right upper quadrant pain, nausea, vomiting and fever, whose imaging studies revealed multiple liver abscesses. While investigating the etiology, Yersinia pseudotuberculosis growth was observed in his abscess aspiration material and blood culture. Genetic analysis conducted after the detection of a ferritin level of 13725 µg/L, showed a heterozygous H63D mutation in HFE. Consequent whole-exon-sequencing reported an additional heterozygous p. Thr73Ala mutation in MPEG1. Even though, Y. pseudotuberculosis is detected mostly in patients with primary hemochromatosis, even heterozygous carriers of hemo-chromatosis may present clinically if concomitant comorbidities exist and may pose a challenge not only to clinicians but also to laboratory diagnosticians. © 2025 Elsevier B.V., All rights reserved
Influence of helmet positioning on uncertainty of blunt impact absorption performance tests
No full textHelmets are designed to protect the wearer from impacts that may cause serious injuries or trauma. Standardized tests are conducted to ensure their blunt impact absorption performance. Small variations when mounting and positioning any helmet on the headform during the test lead to uncertainty on the maximum peak linear acceleration, a threshold used to assess bicycle, wheeled recreational devices, and combat helmets for their impact absorption. Such uncertainty may lead to fallacious results and, thus, incorrect approval for a helmet. In turn, the unqualified helmet can significantly increase injury risk calculated through the Abbreviated Injury Scale. This study quantifies the uncertainty of the helmet positioning and the other blunt impact test parameters on the peak linear acceleration. For this purpose, over 1400 variations of a helmet blunt impact computational model were considered. The uncertainty quantification analysis was conducted through Sobol Sensitivity Analysis and Shapely Additive Explanations obtained from a Light Gradient Boosting Machine model, a decision support model developed to assist the experimental blunt impact test for helmets. The results indicated that the helmet positioning parameters had the highest contribution to the uncertainty. Additionally, the proposed model successfully determined whether a helmet passed or failed the test. The accuracy level of these predictions was at 80.17% when the helmet positioning parameters vary from one test to the next, and at 98.89% when considering the helmet was positioned correctly.U.S. Army Combat Capabilities Development Command Soldier Center; Harnessing Emerging Research Opportunities to Empower Soldiers; Gentex CorporationAny opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the position or the policy of the Government and no official endorsement should be inferred. The authors also recognize the Harnessing Emerging Research Opportunities to Empower Soldiers (HEROES) program for establishing this collaboration. Additionally, the authors express thanks to Patrick Drane of UMass Lowell for support in setting up the initial stages of some of the computational models and the manufacturing of the prototype helmet suspension systems, Benjamin Fasel of DEVCOM for the experimental data provided and his support during this project, and Gentex Corporation for conducting the helmet drop tower testing
Harnessing Machine Learning to Revolutionize Electrochemical Detection of Vitamin E Acetate in E-Liquids
No full textThis study presents the development of a novel molecularly imprinted electrochemical sensor for the sensitive and selective detection of vitamin E acetate (VEA) in e-cigarette liquids, a critical step in addressing the rising public health concern of e-cigarette, or vaping, product use-associated lung injury. VEA-imprinted polymeric nanoparticles, intended to serve as the recognition element on the sensor surface, were synthesized using surfactant-free emulsion polymerization. The synthesized polymer was characterized using Fourier Transformed Infrared Spectroscopy, scanning electron microscope, and zeta potential analyses. The sensor, fabricated using VEA-imprinted poly(HMA-co-PA)/Nafion on screen-printed carbon electrodes, demonstrated a limit of quantification (LoQ) of 112.3 mu g/mL (3.3x S/N) with a wide linear range extending to 3.0 mg/mL (10x S/N). While the sensor exhibited limitations in detecting VEA at concentrations below the LoQ, the integration of machine learning algorithms effectively mitigated these challenges. Machine learning models successfully classified the presence of VEA, even at subdetection limit concentrations, significantly enhancing the sensor's analytical capabilities. Rigorous testing on real-world e-cigarette liquid samples yielded high recovery rates (96.83% +/- 2.79-102.56% +/- 3.84), validating the sensor's accuracy and selectivity in complex matrices. This research not only establishes a promising platform for the rapid and sensitive detection of VEA in e-cigarette liquids but also underscores the transformative potential of integrating artificial intelligence with sensor technologies for addressing critical public health challenges.Ege UniversityThe authors would like to express their gratitude to Ege University and Sabanc & imath; University for providing the necessary facilities and resources to conduct this research. We also appreciate the valuable contributions of our colleagues and collaborators for their insightful discussions and technical support throughout the study
Optimization of phycobiliprotein extraction from triple algal co-culture
No full textMicroalgae and cyanobacteria are photosynthetic microorganisms that inhabit freshwater and marine ecosystems. Bioactive substances (metabolites such as astaxanthin, chlorophyll-a, and phycobiliproteins) obtained from microalgae and cyanobacteria are used in a multitude of fields. Phycobiliproteins are photosynthetic antenna pigments that are found in cyanobacteria, red algae, and cryptophytes. This study aimed to determine the optimal parameters for phycobiliprotein extraction from lyophilized cells obtained from a triple algal co-culture. These parameters included the biomass: solvent ratio, CaCI2 concentration, agitation speed, and extraction time. In all optimization processes, phycocyanin is observed to be the most dominant, while phycoerythrin has the lowest amount. It is demonstrated that all phycobiliprotein efficiencies increase after each optimization process. The highest yield of 12.51 +/- 0.23 mg phycobiliprotein/g freeze-dried weight was obtained using a 1:100 (v: v) biomass: solvent ratio with 2% CaCl2 at 100 rpm for 1 h. The significance of carefully controlling extraction parameters to maximize the efficiency of PBP extraction from triple algal co-culture is highlighted by these results. Employing a combination of extraction methods could potentially improve both the yield and purity of phycobiliproteins obtained from a triple algal co-culture. Future research should focus on developing and refining scaling-up techniques to enhance and optimize the extraction process of phycobiliproteins for industrial use.Trkiye Bilimsel ve Teknolojik Arascedil;timath;rma Kurumu; Scientific and Technological Research Council of Turkey (TUBITAK)This study was a part of Cost Action CA20127 and supported financially by the Scientific and Technological Research Council of Turkey (TUBITAK) under project number 121R100. The authors thank the Scientific and Technological Research Council of Turkey (TUBITAK) for the financial support
Gene expression and mucilage adaptations to salinity in germination of extreme halophyte Schrenkiella parvula seeds
No full textSalinization is a significant global issue causes irreversible damage to plants by reducing osmotic potential, inhibiting seed germination, and impeding water uptake. Seed germination, a crucial step towards the seedling stage is regulated by several hormones and genes, with the balance between abscisic acid and gibberellin being the key mechanism that either promotes or inhibits this process. Additionally, mucilage, a gelatinous substance, is known to provide protection against drought, herbivory, soil adhesion, and seed sinking. However, limited information is available on the structure and thickness of seed mucilage in halophytes under different salinity conditions. In this study, the mucilage structure of the extreme halophyte Schrenkiella parvula was compared with the glycophyte Arabidopsis thaliana in response to salinity. We found differences in the expression levels of genes such as ABI5, RGL2, DOG1, ENO2, and DHAR2, which are involved in seed germination and antioxidant activity, as well as in the mucilage structure of seeds of S. parvula and A. thaliana seeds at different salt concentrations. The responses of seed germination of S. parvula to salinity indicate that it is more salt-tolerant than A. thaliana. Additionally, it was found that S. parvula mucilage decreased under salt conditions but not under mannitol conditions, whereas in A. thaliana mucilage did not change under both conditions, which is one of the adaptation strategies of S. parvula to salt conditions. We believe that these fundamental analyzes will provide a foundation for future molecular and biochemical studies comparing the responses of crops and halophytes to salinity stress.JSPS KAKENHI [JP18H03947]; Ministry of Education, Culture, Sports, Science, and Technology (MEXT)This work was funded in part by JSPS KAKENHI grant number JP18H03947 (A.H) . K.S, obtained a scholarship from the Ministry of Education, Culture, Sports, Science, and Technology (MEXT)
Fuel efficiency of trawlers per kilogram of landed catch: Insights for decarbonizing fisheries in Türkiye
No full textDip trolleri, ağır bileşenlerinden kaynaklanan sürükleme direnci ve sürtünme kuvveti nedeniyle dünyanın en yoğun enerji tüketen balıkçılık yöntemlerinden biridir. Bu çalışma, çoğu hala çekme direncini ve yakıt tüketimini artıran ağır kapılar ve kurşun yakalarla donatılmış geleneksel trol ağlarıyla çalışan Türk trol teknelerinin yakıt kullanım yoğunluğunu (karaya çıkarılan bir kilogram av başına kullanılan yakıt) ve ilgili karbondioksit emisyonlarını tahmin etmeyi amaçlamıştır. 2021-2022 yıllarında 13 trol teknesiyle gerçekleştirilen 129 ticari balıkçılık seferinden elde edilen veriler Genelleştirilmiş Doğrusal Modeller kullanılarak analiz edilmiştir. Genel olarak, bir kilogram deniz ürünü avlamak için medyan değeri yaklaşık 1,22 litre yakıt tüketilmiş ve söz konusu dönemde 3,21 kg CO2 salınmıştır. Tekne boyu, motor gücü ve hedeflenen tür grubu, yakıt kullanım yoğunluğunu etkileyen başlıca faktörler olarak belirlenmiştir. Mevcut çalışma, balıkçılık sektörünün karbonsuzlaştırılması için etkili yönetim önlemlerinin uygulanmasına yönelik kritik bilgiler sağlayarak karar alıcılar için pratik öneriler sunmaktadır. Daha geniş filo, farklı bölgeler ve balıkçılık sezonlarını kapsayacak şekilde veri setinin genişletilmesi, elde edilen sonuçların genellenebilirliğini ve farklı balıkçılıklarda uygulanabilirliğini daha da geliştirecektir.Demersal trawling is among the most energy-intensive fishing practices worldwide, primarily due to the drag and frictional force caused by their heavy components. This study aimed to estimate fuel use intensity (litres of fuel per kilogram of landed catch) and associated carbon dioxide emissions of Turkish trawl vessels, most of which still operate using traditional trawl nets equipped with heavy otter boards and lead ground gear, increasing towing resistance and consequently fuel consumption. Data from 129 commercial fishing trips conducted by 13 trawl vessels between 2021 and 2022 were analysed using Generalized Linear Models (GLMs). Overall, to catch one kg of landed marine product, the trawl vessels consumed approximately a median value of 1.22 litres of fuel and emitted 3.21 kg of CO2 for the given period. Vessel length, engine power and the target species group were the main factors affecting the fuel use intensity. The results obtained from the study provide critical insights for implementing effective management measures to decarbonize fisheries, offering practical recommendations for decision makers. Expanding the dataset to encompass a broad range of vessels, regions, and fishing seasons would further enhance the generalizability and applicability across different fisheries
Evaluation of annexin A1, carbonic anhydrase 1, and elongation factor 1-gamma levels in periodontal diseases
No full textBackground Periodontitis arises from dysbiotic subgingival microbiota and an unresolved inflammatory response. Annexin A1 (ANXA1), Carbonic Anhydrase I (CA1), and Elongation Factor 1-gamma (EF1-gamma) may play a role in periodontal inflammation and disease pathogenesis. This study aimed to investigate the levels of these molecules in gingival crevicular fluid (GCF) of individuals with different periodontal conditions. Methods GCF samples were collected from 20 patients with Stage III Grade B periodontitis, 20 with Stage III Grade C periodontitis, 19 gingivitis patients, and 21 periodontally healthy individuals. ANXA1, CA1, and EF1-gamma levels were measured using ELISA. Results Clinical parameters were significantly higher in periodontitis groups compared to gingivitis and healthy groups (p 0.05). Conclusion Within the limitations of this study, it might be suggested that the decreased levels of EF1-gamma in diseased sites of periodontitis and its elevated levels in gingivitis are associated with the pathogenesis of periodontal disease.Ege University Scientific Research Foundation [4153]This study was funded by Ege University Scientific Research Foundation with grant number 4153
A Retrospective Comparison of TECAM and BEAM Conditioning Regimens Before Autologous Hematopoietic Stem Cell Transplant in Lymphoma Patients: Efficacy and Toxicity
No full textObjectives: The aim of our study was to evaluate the efficacy and toxicity of TECAM (thiotepa, etoposide, cyclophosphamide, cytarabine, and melphalan) and BEAM (carmustine, etoposide, cytarabine, and melphalan) conditioning regimens before autologous hematopoietic stem cell transplant in patients with lymphoma. Materials and Methods: We retrospectively analyzed 108 relapsed/refractory lymphoma patients who had high-dose treatments followed by autologous hema-topoietic stem cell transplant between October 2012 and February 2017. Results: At a median follow-up period of 16 months, the estimated 2-year progression-free survival rates for the TECAM and BEAM groups were 55.7% and 52.9%, respectively (P = .811). The estimated 2-year overall survival rate in the TECAM group (55.9%) was relatively inferior to that shown in the BEAM group (67%), but the differences were not significant (P = .238). No differences were observed for time to hematopoietic recovery and duration of hospitalization. Incidences of transplant-related infectious and noninfectious complications were similar for each conditioning regimen. Conclusions: Our experience shows that the TECAM regimen is an effective high-dose chemotherapy for lymphoma patients before autologous hematopoietic stem cell transplant. © 2025 Elsevier B.V., All rights reserved