Natural Compounds for Bone Remodeling: A Computational and Experimental Approach Targeting Bone Metabolism-Related Proteins.

Osteoporosis, characterized by reduced bone density and increased fracture risk, affects over 200 million people worldwide, predominantly older adults and postmenopausal women. The disruption of the balance between bone-forming osteoblasts and bone-resorbing osteoclasts underlies osteoporosis pathophysiology. Standard treatment includes lifestyle modifications, calcium and vitamin D supplementation and specific drugs that either inhibit osteoclasts or stimulate osteoblasts. However, these treatments have limitations, including side effects and compliance issues. Natural products have emerged as potential osteoporosis therapeutics, but their mechanisms of action remain poorly understood. In this study, we investigate the efficacy of natural compounds in modulating molecular targets relevant to osteoporosis, focusing on the Mitogen-Activated Protein Kinase (MAPK) pathway and the gut microbiome's influence on bone homeostasis. Using an in silico and in vitro methodology, we have identified quercetin as a promising candidate in modulating MAPK activity, offering a potential therapeutic perspective for osteoporosis treatment.

Structural and Functional Insights into CRF Peptides and Their Receptors.

Corticotropin-releasing factor or hormone (CRF or CRH) and the urocortins regulate a plethora of physiological functions and are involved in many pathophysiological processes. CRF and urocortins belong to the family of CRF peptides (CRF family), which includes sauvagine, urotensin, and many synthetic peptide and non-peptide CRF analogs. Several of the CRF analogs have shown considerable therapeutic potential in the treatment of various diseases. The CRF peptide family act by interacting with two types of plasma membrane proteins, type 1 (CRF1R) and type 2 (CRF2R), which belong to subfamily B1 of the family B G-protein-coupled receptors (GPCRs). This work describes the structure of CRF peptides and their receptors and the activation mechanism of the latter, which is compared with that of other GPCRs. It also discusses recent structural information that rationalizes the selective binding of various ligands to the two CRF receptor types and the activation of receptors by different agonists.

A Robust Machine Learning Framework Built Upon Molecular Representations Predicts CYP450 Inhibition: Toward Precision in Drug Repurposing.

Human cytochrome P450 (CYP450) enzymes play a crucial role in drug metabolism and pharmacokinetics. CYP450 inhibition can lead to toxicity, in particular when drugs are co-administered with other drugs and xenobiotics or in the case of polypharmacy. Predicting CYP450 inhibition is also important for rational drug discovery and development, and precision in drug repurposing. In this overarching context, digital transformation of drug discovery and development, for example, using machine and deep learning approaches, offers prospects for prediction of CYP450 inhibition through computational models. We report here the development of a majority-voting machine learning framework to classify inhibitors and noninhibitors for seven major human liver CYP450 isoforms (CYP1A2, CYP2A6, CYP2B6, CYP2C9, CYP2C19, CYP2D6, and CYP3A4). For the machine learning models reported herein, we employed interaction fingerprints that were derived from molecular docking simulations, thus adding an additional layer of information for protein-ligand interactions. The proposed machine learning framework is based on the structure of the binding site of isoforms to produce predictions beyond previously reported approaches. Also, we carried out a comparative analysis so as to identify which representation of test compounds (molecular descriptors, molecular fingerprints, or protein-ligand interaction fingerprints) affects the predictive performance of the models. This work underlines the ways in which the structure of the enzyme catalytic site influences machine learning predictions and the need for robust frameworks toward better-informed predictions.

Design and synthesis of a novel non peptide CN-NFATc signaling inhibitor for tumor suppression in triple negative breast cancer.

The Ca2+/calmodulin-mediated phosphatase activity of calcineurin (CN) integrates calcium-mediated signaling with gene expression programs involved in the control of essential cellular processes in health and disease, such as the immune response and the pathogenesis of cancer progression and metastasis. In addition, CN is the target of the immunosuppressive drugs cyclosporine A (CsA) and FK-506 which are the cornerstone of immunosuppressant therapy. Unfortunately, long-term administration of these drugs results in severe side effects. Herein, we describe the design, synthesis and evaluation of new synthetic compounds that are capable of inhibiting NFATc activity in a dose-dependent manner, without interfering on CN phosphatase activity. These compounds were designed using the structure-based pharmacophore model of a peptide-derived PxIxIT sequence binding to calcineurin A subunit. Moreover, these compounds inhibit NFATc-dependent cytokine gene expression, secretion and proliferation of human T CD4+ cells. More importantly, compound 5a reduces tumor weight and shows a tendency to reduce tumor angiogenesis in an orthotopic immunocompetent mouse model of triple negative breast cancer, suggesting that 5a has tumor suppressor activity. These findings validate compound 5a as an agent with therapeutic activity against CN-NFATc and highlight its potential as a tool for drug development with therapeutic purposes.

Robust regional cerebral blood flow perfusion deficits in relapsing-remitting multiple sclerosis patients with executive function impairment.

OBJECTIVES: Cognitive impairment is present in up to 65% of Relapsing Remitting Multiple sclerosis (RRMS) patients and can be extremely debilitating. Although deficits in episodic memory and processing speed occur more frequently than executive deficits, executive dysfunction tends to have a significant impact on MS patients' ability to generate strategies, think divergently, solve and estimate problems, and reason in abstract terms with substantial negative impacts on activities of daily living. In the present study we investigated perfusion detection rate and pattern, as well as the association between perfusion rates and cognitive dysfunction in cognitively impaired RRMS patients. METHODS: We present findings from 17 cognitively impaired RRMS patients who were evaluated with a comprehensive neuropsychological battery and additionally evaluated by brain perfusion radiopharmaceutical technetium-99m hexamethyl-propylene amine oxime (99mTc HMPAO). RESULTS: RRMS patients had hypoperfusion in several predefined Brodmann areas and lobes of the brain, relatively to demographically matched healthy controls according to an established normative database NeuroGam™. However, we noted blood flow reduction, mainly in the frontal lobes and other related prefrontal areas, involving both hemispheres, but with asymmetric left hemisphere predominance. Moreover, associations between measures of response inhibition, set shifting (executive functions) and severity of hypoperfusion in the left frontal lobes were also established. CONCLUSION: Cerebral hypoperfusion is an integral feature of MS pathology. Executive dysfunction is associated with robust cerebral perfusion deficits in the frontal and prefrontal cortex of cognitively impaired RRMS patients.

High-profile flow diverter (silk) implantation in the basilar artery: efficacy in the treatment of aneurysms and the role of the perforators.

BACKGROUND AND PURPOSE: The introduction of flow diverters (FDs) has expanded the possibilities for reconstructive treatment of difficult intracranial aneurysms. Concern remains as to the long-term patency of the perforating arteries and side branches covered during stent placement. Our purpose was to evaluate the performance of and early effect on covered branches after implantation of the Silk FD in the treatment of basilar artery aneurysms. METHODS: Twelve patients with an aneurysm of the basilar artery that was treated by implantation of the Silk FD were included in our retrospective study. Both unruptured and previously ruptured, formerly untreated, and recurrent aneurysms were treated. During follow-up, patients were monitored for clinical evolution, patency of the covered vessels, and aneurysmal obliteration. RESULTS: Of the 2 ruptured aneurysms, 1 was initially treated by FD implantation. The FD covered the basilar bifurcation and the origin of a P1 segment of the posterior cerebral artery in 9 cases, the origin of the superior cerebellar artery in 9, and of the anterior inferior cerebellar artery in 3. There was 1 acute basilar artery occlusion a few hours after FD implantation. During a mean follow-up of 16 weeks, 3 patients experienced a symptomatic neurologic event. CONCLUSIONS: Implantation of the Silk FD in the basilar artery was feasible and well tolerated in most cases to date. However, late ischemic events affecting perforating arteries may occur after FD implantation, suggesting that the indication should be restricted to otherwise untreatable aneurysms in this location.