The effect of diets with different inflammatory scores on inflammation and sleep in obese subjects: a randomized controlled trial.

Objective: The aim of this study was to investigate the effect of different dietary inflammatory index diets on inflammatory markers, anthropometric measurements, and sleep quality in obese subjects.

Methods: This study was conducted in a public hospital in Turkey between November 2021 and May 2022. Participants with pro-inflammatory dietary habits were included in the study.

Lignocellulosic Bionanomaterials for Biosensor Applications.

The rapid population growth, increasing global energy demand, climate change, and excessive use of fossil fuels have adversely affected environmental management and sustainability. Furthermore, the requirements for a safer ecology and environment have necessitated the use of renewable materials, thereby solving the problem of sustainability of resources. In this perspective, lignocellulosic biomass is an attractive natural resource because of its abundance, renewability, recyclability, and low cost.

Eating Disorder-15: Factor Structure, Psychometric Properties, Validity, and Reliability of the Turkish Version for Clinical and Non-Clinical Samples.

Objective: Eating Disorder-15 (ED-15) is a self-report scale recommended for use to evaluate weekly progress and treatment results in eating disorders. This research aims to examine the factor structure, psychometric properties, validity, and reliability of the Turkish version of ED-15 (ED-15-TR) for clinical and non-clinical samples.

Method: Translation-back translation method was used for language equivalence of ED-15-TR.

Novel integrated workflow allows production and in-depth quality assessment of multifactorial reprogrammed skeletal muscle cells from human stem cells.

Skeletal muscle tissue engineering aims at generating biological substitutes that restore, maintain or improve normal muscle function; however, the quality of cells produced by current protocols remains insufficient. Here, we developed a multifactor-based protocol that combines adenovector (AdV)-mediated MYOD expression, small molecule inhibitor and growth factor treatment, and electrical pulse stimulation (EPS) to efficiently reprogram different types of human-derived multipotent stem cells into physiologically functional skeletal muscle cells (SMCs). The protocol was complemented through a novel in silico workflow that allows for in-depth estimation and potentially optimization of the quality of generated muscle tissue, based on the transcriptomes of transdifferentiated cells.

In Silico Methods for the Identification of Diagnostic and Favorable Prognostic Markers in Acute Myeloid Leukemia.

Acute myeloid leukemia (AML), the most common type of acute leukemia in adults, is mainly asymptomatic at early stages and progresses/recurs rapidly and frequently. These attributes necessitate the identification of biomarkers for timely diagnosis and accurate prognosis. In this study, differential gene expression analysis was performed on large-scale transcriptomics data of AML patients versus corresponding normal tissue.