Inhibition effect of copper-bearing metals on arterial neointimal hyperplasia via the AKT/Nrf2/ARE pathway in vitro and in vivo.

In-stent restenosis can be caused by the activation, proliferation and migration of vascular smooth muscle cells (VSMCs), which affects long-term efficacy of interventional therapy. Copper (Cu) has been proved to accelerate the endothelialization and reduce thrombosis formation, but little is known about its inhibition effect on the excessive proliferation of VSMCs. In this study, 316L-Cu stainless steel and L605-Cu cobalt-based alloy with varying Cu content were fabricated and their effects on surface property, blood compatibility and VSMCs were studied in vitro and in vivo. CCK-8 assay and EdU assay indicated that the Cu-bearing metals had obvious inhibitory effect on proliferation of VSMCs. Blood clotting and hemolysis tests showed that the Cu-bearing metals had good blood compatibility. The inhibition effect of the Cu-bearing metals on migration of cells was detected by Transwell assay. Further studies showed that Cu-bearing metals significantly decreased the mRNA expressions of bFGF, PDGF-B, HGF, Nrf2, GCLC, GCLM, NQO1 and HO1. The phosphorylation of AKT and Nrf2 protein expressions in VSMCs were significantly decreased by Cu-bearing metals. Furthermore, it was also found that SC79 and TBHQ treatments could recover the protein expressions of phospho-AKT and Nrf2, and their downstream proteins as well. Moreover, 316L-Cu stent proved its inhibitory action on the proliferation of VSMCs in vivo. In sum, the results demonstrated that the Cu-bearing metals possessed apparent inhibitory effect on proliferation and migration of VSMCs via regulating the AKT/Nrf2/ARE pathway, showing the Cu-bearing metals as promising stent materials for long-term efficacy of implantation.

Prediction of Human Liver Microsome Clearance with Chirality-Focused Graph Neural Networks.

In drug candidate design, clearance is one of the most crucial pharmacokinetic parameters to consider. Recent advancements in machine learning techniques coupled with the growing accumulation of drug data have paved the way for the construction of computational models to predict drug clearance. However, concerns persist regarding the reliability of data collected from public sources, and a majority of current in silico quantitative structure-property relationship models tend to neglect the influence of molecular chirality. In this study, we meticulously examined human liver microsome (HLM) data from public databases and constructed two distinct data sets with varying HLM data quantity and quality. Two baseline models (RF and DNN) and three chirality-focused GNNs (DMPNN, TetraDMPNN, and ChIRo) were proposed, and their performance on HLM data was evaluated and compared with each other. The TetraDMPNN model, which leverages chirality from 2D structure, exhibited the best performance with a test R2 of 0.639 and a test root-mean-squared error of 0.429. The applicability domain of the model was also defined by using a molecular similarity-based method. Our research indicates that graph neural networks capable of capturing molecular chirality have significant potential for practical application and can deliver superior performance.

Expanding the Question-Persuade-Refer (QPR) Evidence Base: Youth Suicide Prevention among the Mississippi Band of Choctaw Indians.

Youth suicide risks have been on the rise or persistently elevated for decades, and Native American communities are especially vulnerable. This study provides a promising framework for suicide prevention among underserved populations in the U.S., especially Native American communities in states lacking strong suicide prevention supports. Our investigation reports the evaluation results of the Question-Persuade-Refer (QPR) gatekeeper training program, a key component of the SAMHSA-funded Choctaw Youth Resilience Initiative (CYRI) implemented by the Mississippi Band of Choctaw Indians (MBCI). QPR trains adult gatekeepers to identify youth at risk of suicide and refer them to certified mental health service providers. Standardized QPR pre-test and post-test training surveys were administered at in-person trainings delivered to youth-serving MBCI organization leaders and staff. Statistical analyses of all survey items indicate that QPR gatekeeper trainings significantly enhanced the knowledge of prevention practices and risk identification skills for the MBCI trainees. The robust evidence of positive changes revealed in this study suggests that QPR can be an effective suicide prevention program for underserved minority communities, especially Native American populations in rural states where suicide is a persistent and leading cause of mortality.

Youth Suicide Prevention Programming among the Mississippi Band of Choctaw Indians: Effects of the Lifelines Student Curriculum.

Suicide continues to be a leading cause of mortality for young people. Given persistent intersecting forms of disadvantage, Native American adolescents are especially vulnerable to mental health adversities and other suicide risk factors. The Mississippi Band of Choctaw Indians (MBCI) implemented the Choctaw Youth Resilience Initiative (CYRI), a five-year SAMHSA-funded project that began in 2019. This study uses Choctaw student pre-test/post-test survey data to examine the effectiveness of the Hazelden Lifelines Suicide Prevention Training curriculum for youth. A lagged post-test design was used, whereby post-surveys were administered at least one month after program completion. Several intriguing results were observed. First, the lagged post-test model was subject to some pre-to-post attrition, although such attrition was comparable to a standard pre/post design. Second, analyses of completed surveys using means indicated various beneficial effects associated with the Lifelines curriculum implementation. The greatest benefit of the program was a significant change in student perceptions concerning school readiness in response to a suicidal event. Some opportunities for program improvement were also observed. Our study sheds new light on suicide prevention training programs that can be adapted according to Native American youth culture. Program implementation and evaluation implications are discussed in light of these findings.

Constructing Innovative Covalent and Noncovalent Compound Libraries: Insights from 3D Protein-Ligand Interactions.

Noncovalent interactions between small-molecule drugs and protein targets assume a pivotal role in drug design. Moreover, the design of covalent inhibitors, forming covalent bonds with amino acid residues, requires rational reactivity for their covalent warheads, presenting a key challenge as well. Understanding the intricacies of these interactions provides a more comprehensive understanding of molecular binding mechanisms, thereby guiding the rational design of potent inhibitors. In this study, we adopted the fragment-based drug design approach, introducing a novel methodology to extract noncovalent and covalent fragments according to distinct three-dimensional (3D) interaction modes from noncovalent and covalent compound libraries. Additionally, we systematically replaced existing ligands with rational fragment substitutions, based on the spatial orientation of fragments in 3D space. Furthermore, we adopted a molecular generation approach to create innovative covalent inhibitors. This process resulted in the recombination of a noncovalent compound library and several covalent compound libraries, constructed by two commonly encountered covalent amino acids: cysteine and serine. We utilized noncovalent ligands in KLIFS and covalent ligands in CovBinderInPDB as examples to recombine noncovalent and covalent libraries. These recombined compound libraries cover a substantial portion of the chemical space present in the original compound libraries and exhibit superior performance in terms of molecular scaffold diversity compared to the original compound libraries and other 11 commercial libraries. We also recombined BTK-focused libraries, and 23 compounds within our libraries have been validated by former researchers to possess potential biological activity. The establishment of these compound libraries provides valuable resources for virtual screening of covalent and noncovalent drugs targeting similar molecular targets.

In silico construction of a focused fragment library facilitating exploration of chemical space.

Fragment-based drug design (FBDD) has emerged as a captivating subject in the realm of computer-aided drug design, enabling the generation of novel molecules through the rearrangement of ring systems within known compounds. The construction of focused fragment library plays a pivotal role in FBDD, necessitating the compilation of all potential bioactive ring systems capable of interacting with a specific target. In our study, we propose a workflow for the development of a focused fragment library and combinatorial compound library. The fragment library comprises seed fragments and collected fragments. The extraction of seed fragments is guided by receptor information, serving as a prerequisite for establishing a focused libraries. Conversely, collected fragments are obtained using the feature graph method, which offers a simplified representation of fragments and strikes a balance between diversity and similarity when categorizing different fragments. The utilization of feature graph facilitates the rational partitioning of chemical space at fragment level, enabling the exploration of desired chemical space and enhancing the efficiency of screening compound library. Analysis demonstrates that our workflow enables the enumeration of a greater number of entirely new potential compounds, thereby aiding in the rational design of drugs.