Hematopoietic stem cell transplantation with reduced toxicity conditioning regimen in mitochondrial neurogastrointestinal encephalopathy syndrome

Background Mitochondrial neurogastrointestinal encephalomyopathy (MNGIE) is a rare autosomal recessive disorder due to mutations in the TYMP gene. Clinical findings are characterized by neurologic manifestations and severe gastrointestinal dysfunction. The syndrome is usually fatal, the most effective treatment appears to be hematopoietic stem cell transplantation (HSCT). Procedure In this retrospective study, we evaluated HSCT that was performed using a reduced toxicity myeloablative conditioning regimen in patients with MNGIE at our center. Results A total of six allogeneic transplant procedures were performed in four patients. Three patients had fully matched donors, and one patient had a haploidentical donor. Treosulfan-based myeloablative conditioning regimen was applied in five of six transplants. Bone marrow was used as a stem cell source. One patient is being followed up in the 4th year of posttransplant with full chimeric and without graft versus host disease (GVHD). One patient died of acute stage IV gastrointestinal system GVHD. Two patients underwent second transplantation due to engraftment failure, one of which was the patient who had a haploidentical transplant. Conclusions Treosulfan-based regimen is well tolerated, although engraftment failure with this conditioning regimen can be a significant problem. We share our haploidentical transplant experience, which will be the first reported case in the literature

Synthesis and investigations of reactive properties, photophysical properties and biological activities of a pyrazole-triazole hybrid molecule

© 2022In this work, we report the synthesis, spectroscopic characterization, reactivity study, photophysical properties and evaluation of α-glucosidase inhibitory activity pyrazole-triazole hybrid molecule. Reactive properties of the title compound have been investigated using density functional theory (DFT) calculations. Local reactive descriptors such as condensed versions of Fukui functions and Molecular electrostatic potential were used to predict the chemical reactivity. Further, the influence of solvents on the photophysical properties was investigated by using Time independent Density Functional Theory (TDDFT) calculations. In addition, the in vitro anti-diabetic activity against α-glucosidase enzyme revealed that the title compound has α-glucosidase inhibitory activity with IC50 value of 43.92 µg/mL. Molecular docking studies were carried out to understand the binding mechanism of the title compound in the active site of the α-glucosidase enzyme. The stability of the protein-ligand complex was validated by Molecular Dynamics (MD) simulations and Molecular Mechanics Poisson-Boltzmann Surface Area (MMPBSA) analysis

Prediction of Solar Energy Potential with Artificial Neural Networks

The energy requirements have been met from fossil fuels since the early 1800s. Considering the environmental awareness and limited fossil resources, using renewable energy resources are compulsory to meet the increasing energy demand. Solar and wind energy, biofuels, and natural gas are leading ones. Solar energy is an effective and clean energy source compared in terms of sustainability, reliability, and economy. In the maritime sector, eco-friendly and sustainable qualities are sought in all of the efforts to reduce costs. Therefore, in many maritime fields, solar energy is used as an alternative energy source. The purpose of this study is achieving maximum efficiency from solar panels by using optimization technique. The energy estimation was performed by artificial neural networks method on solar panels based on weather changes in Izmir Gulf. The results are compared with the "Renewable Energy General Administration" data of Turkey. As a result, the obtained data will be informative to the researcher who will study solar energy's maritime applications. Besides, this study will be a possible source to make comparisons with similar solar energy studies