Kinetoplastids are the causative agents of leishmaniasis, human African trypanosomiasis, and American trypanosomiasis. They are responsible for high mortality and morbidity in (sub)tropical regions. Adequate treatment options are limited and have several drawbacks, such as toxicity, need for parenteral administration, and occurrence of treatment failure and drug resistance. Therefore, there is an urgency for the development of new drugs. Phenotypic screening already allowed the identification of promising new chemical entities with anti-kinetoplastid activity potential, but knowledge on their mode-of-action (MoA) is lacking due to the generally applied whole-cell based approach. However, identification of the drug target is essential to steer further drug discovery and development. Multiple complementary techniques have indeed been used for MoA elucidation. In this review, the different 'omics' approaches employed to define the MoA or mode-of-resistance of current reference drugs and some new anti-kinetoplastid compounds are discussed.
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http://dx.doi.org/10.3390/microorganisms8060950 | DOI Listing |
Behav Brain Funct
December 2024
Department of Pharmacology, National Defense Medical College, 3-2 Namiki, Tokorozawa, Saitama, 359-8513, Japan.
The large-conductance calcium- and voltage-activated potassium (BK) channels, encoded by the KCNMA1 gene, play important roles in neuronal function. Mutations in KCNMA1 have been found in patients with various neurodevelopmental features, including intellectual disability, autism spectrum disorder (ASD), or attention deficit hyperactivity disorder (ADHD). Previous studies of KCNMA1 knockout mice have suggested altered activity patterns and behavioral flexibility, but it remained unclear whether these changes primarily affect immediate behavioral adaptation or longer-term learning processes.
View Article and Find Full Text PDFJ Health Popul Nutr
December 2024
Eyüpsultan District Health Directorate, Istanbul, Türkiye.
Background: The aim of the study was to determine the level of dietary self-efficacy, physical activity and obesogenic environment in several districts of Istanbul and to examine the relationship between them.
Methods: In this cross-sectional study, a questionnaire was administered to primary health care workers working in three different districts of Istanbul. Sociodemographic questions, Dieting Self-Efficiency Scale (DSES), The Assessment of the Obesogenic Environment Scale (AOES), and International Physical Activity Questionnaire (IPAQ) were used in the survey.
Sci Rep
December 2024
AI Graduate School, Gwangju Institute of Science and Technology, Gwangju, 61005, Republic of Korea.
Lies are ubiquitous and often happen in social interactions. However, socially conducted deceptions make it hard to get data since people are unlikely to self-report their intentional deception behaviors, especially malicious ones. Social deduction games, a type of social game where deception is a key gameplay mechanic, can be a good alternative to studying social deceptions.
View Article and Find Full Text PDFSci Rep
December 2024
School of Management, Shenyang University of Technology, Shenyang, 100870, China.
This study presents a novel framework for advancing sustainable urban logistics and distribution systems, with a pivotal focus on fast charging and power exchange modalities as the cornerstone of our research endeavors. Our central contribution encompasses the formulation of an innovative electric vehicle path optimization model, whose paramount objective is to minimize overall operational costs. Integrating V2G technology, we facilitate sophisticated slow charging and discharging management of EVs upon their return to distribution centers, enhancing resource utilization.
View Article and Find Full Text PDFSci Rep
December 2024
Information Construction and Management Center, Nanyang Institute of Technology, Nanyang, 473004, Henan, China.
Given the increasingly severe environmental challenges, distributed green manufacturing has garnered significant academic and industrial interest. This paper addresses the distributed two-stage flexible job shop scheduling problem (DTFJSP) under time-of-use (TOU) electricity pricing, with the objective of minimizing both makespan and total energy consumption costs (TEC). To tackle the problem, a hybrid memetic algorithm (HMA) is proposed.
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