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Neuroprotective Effect of Natural Indole and β-carboline Alkaloids against Parkinson's Disease: An Overview.

Parkinson's disease (PD) is a devastating neurodegenerative condition that mostly damages dopaminergic neurons in the substantia nigra and impairs human motor function. Males are more likely than females to have PD. There are two main pathways associated with PD: one involves the misfolding of α-synuclein, which causes neurodegeneration, and the other is the catalytic oxidation of dopamine via MAO-B, which produces hydrogen peroxide that can cause mitochondrial damage. Parkin (PRKN), α-synuclein (SNCA), heat shock protein (HSP), and leucine-rich repeat kinase-2 (LRRK2) are some of the target areas for genetic alterations that cause neurodegeneration in Parkinson's disease (PD). Under the impact of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP), which is also important in Parkinson's disease (PD), inhibition of mitochondrial complex 1 results in enhanced ROS generation in neuronal cells. Natural products are still a superior option in the age of synthetic pharmaceuticals because of their lower toxicity and moderate side effects. A promising treatment for PD has been discovered using beta-carboline (also known as " β-carboline") and indole alkaloids. However, there are not many studies done on this particular topic. In the herbs containing β-carbolines and indoles, the secondary metabolites and alkaloids, β-carbolines and indoles, have shown neuroprotective and cognitive-enhancing properties. In this review, we have presented results from 18 years of research on the effects of indole and β-carboline alkaloids against oxidative stress and MAO inhibition, two key targets in PD. In the SAR analysis, the activity has been correlated with their unique structural characteristics. This study will undoubtedly aid researchers in looking for new PD treatment options.

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Clinical psychology, social identities and societal challenges: Implications for diversity-sensitive practice and training.

Clinical psychologists are increasingly urged to recognize and understand the significance of societal factors such as marginalization experiences, within themselves and among the individuals and communities they serve. At the same time, there is a dearth of research in the field to guide this pursuit, and especially so in European contexts. We conducted an online survey (N = 646) to assess the social identities of clinical psychologists (graduate and trainees) in Germany and their incorporation of societal challenges in therapy and training. Overall, our sample was demographically rather homogenous and privileged: Clinical psychologists tended to be white (91%), nonmigrant (77.6%), female (74.5%), cis-gender (93.8%), heterosexual (75.4%), able-bodied (56.0%), and grew up in families with an academic background (68%). Although the majority of participants expressed a tendency to contemplate their identity when it came to their psychotherapeutic practices and believed that discussing societal challenges in therapy was pertinent, only a small proportion (~5%) reported actively introducing related subjects during therapy sessions or taking them into account during initial case conceptualization (~8%). The majority of participants indicated a lack of coverage of related topics in standard clinical psychological curricula. Greater perceived competence in addressing these topics was linked to clinicians initiating discussions about marginalization or discrimination in therapy. We explore the implications for future training aimed at fostering equitable, effective, and diversity-sensitive therapeutic practices.

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Applications of optical flow methods and computer vision in structural health monitoring for enhanced modal identification

This study introduces a novel nondestructive approach to Structural Health Monitoring (SHM) using computer vision and optical flow methods to analyze structural vibrations. It combines advanced image processing techniques, like the Lucas-Kanade Optical Flow method, with spectral analysis tools including the Autoregressive Moving Average (ARMA) model and Enhanced Frequency Domain Decomposition (EFDD) for assessing structural integrity. The research comprises two main components: (i) the development of a vibration monitoring system with industrial cameras and open-source image processing techniques, and (ii) the application of specialized image processing software. Key aspects of the study include the use of displacement sensors with template matching for laboratory and field measurements, a comprehensive vision sensor system with high-grade hardware, and camera calibration to correlate camera images with real-world measurements. The methodology focuses on target tracking through optical flow estimation which is crucial in calculating displacements and analyzing structural movements. Experimental verification was conducted on three models such as a single-story steel planar frame, a single-story space shear frame, and a real-scale steel footbridge. The results show good agreement between the frequencies obtained from video camera-based measurements and those retrieved from numerical models, which validates the experimental approach's reliability. The study emphasizes the potential of computer vision in SHM especially for inaccessible or restricted structures. It highlights the cost-effectiveness and efficiency of the considered non-contact methods. Overall, the research demonstrates significant advancements in remote, nondestructive structural analysis, offering promising implications for predictive maintenance and the safety of engineering structures.

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BMSCs-derived exosomes carrying miR-668-3p promote progression of osteoblasts in osteonecrosis of the femoral head: Expression of proteins CD63 and CD9

Recently, exosomes that are derived from bone marrow mesenchymal stem cells (BMSCs) have garnered considerable interest due to their significant roles in the processes of bone regeneration and repair. Among the various molecular components present within these exosomes, miR-668-3p has emerged as a pivotal microRNA that may be instrumental in modulating the function and proliferation of osteoblasts, the cells responsible for bone formation. The primary objective of this research was to examine the enhancing effects of BMSC-derived exosomes that are enriched with miR-668-3p on the advancement of osteoblasts in the context of osteonecrosis of the femoral head. Furthermore, the study aimed to analyze how the expression of specific exosomal proteins, namely CD63 and CD9, influences this biological process. To conduct the investigation, BMSCs were isolated from healthy rat models, followed by the extraction of their secreted exosomes. The subsequent phase of the study involved assessing the proliferation and differentiation of osteoblasts by introducing the exosomes enriched with miR-668-3p into an experimental setup representing osteonecrosis of the femoral head. The findings revealed that exosomes derived from BMSCs, which contained miR-668-3p, significantly enhanced the proliferation of osteoblasts as well as the expression of key osteogenic marker genes. Notably, the levels of CD63 and CD9 proteins were markedly increased in the treated groups, indicating that the mechanisms underlying this promotion might involve cell adhesion and the endocytic uptake of exosomes.

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