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Succinate dehydrogenase (SDH) is an inner mitochondrial membrane protein complex that links the Krebs cycle to the electron transport system. It can produce significant amounts of superoxide ([Formula see text]) and hydrogen peroxide (H2O2); however, the precise mechanisms are unknown. This fact hinders the development of next-generation antioxidant therapies targeting mitochondria. To help address this problem, we developed a computational model to analyze and identify the kinetic mechanism of [Formula see text] and H2O2 production by SDH. Our model includes the major redox centers in the complex, namely FAD, three iron-sulfur clusters, and a transiently bound semiquinone. Oxidation state transitions involve a one- or two-electron redox reaction, each being thermodynamically constrained. Model parameters were simultaneously fit to many data sets using a variety of succinate oxidation and free radical production data. In the absence of respiratory chain inhibitors, model analysis revealed the 3Fe-4S iron-sulfur cluster as the primary [Formula see text] source. However, when the quinone reductase site is inhibited or the quinone pool is highly reduced, [Formula see text] is generated primarily by the FAD. In addition, H2O2 production is only significant when the enzyme is fully reduced, and fumarate is absent. read more Our simulations also reveal that the redox state of the quinone pool is the primary determinant of free radical production by SDH. In this study, we showed the importance of analyzing enzyme kinetics and associated side reactions in a consistent, quantitative, and biophysically detailed manner using a diverse set of experimental data to interpret and explain experimental observations from a unified perspective.Factor X activation by the intrinsic Xase complex, composed of factor IXa bound to factor VIIIa on membranes, is essential for the amplified blood coagulation response. The biological significance of this step is evident from bleeding arising from deficiencies in factors VIIIa or IXa in hemophilia. Here, we assess the mechanism(s) that enforce the distinctive specificity of intrinsic Xase for its biological substrate. Active-site function of IXa was assessed with a tripeptidyl substrate (PF-3688). The reversible S1 site binder, 4-aminobenzamidine (pAB), acted as a classical competitive inhibitor of PF-3688 cleavage by Xase. In contrast, pAB acted as a noncompetitive inhibitor of factor X activation. This disconnect between peptidyl substrate and protein substrate cleavage indicates a major role for interactions between factor X and extended sites on Xase in determining substrate affinity. Accordingly, an uncleavable factor X variant, not predicted to engage the active site of IXa within Xase, acted as a classical competitive inhibitor of factor X activation. Fluorescence studies confirmed the binding of factor X to Xase assembled with IXa with a covalently blocked active site. Our findings suggest that the recognition of factor X by the intrinsic Xase complex occurs through a multistep "dock-and-lock" pathway in which the initial interaction between factor X and intrinsic Xase occurs at exosites distant from the active site, followed by active-site docking and bond cleavage.Small molecule-induced targeted protein degradation by heterobifunctional ligands or molecular glues represents a new modality in drug development, allowing development of therapeutic agents for targets previously considered undruggable. Successful target engagement requires the formation of a ternary complex (TC) when the ligand brings its target protein in contact with an E3 ubiquitin ligase. Unlike traditional drugs, where target engagement can be described by a simple bimolecular equilibrium equation, similar mathematical tools are currently not available to describe TC formation in a universal manner. This current limitation substantially increases the challenges of developing drugs with targeted protein degradation mechanism. In this article, I provide a full, exact, and universal mathematical description of the TC system at equilibrium for the first time. I have also constructed a comprehensive suite of mathematical tools for quantitative measurement of target engagement and equilibrium constants from experimental data. Mechanistic explanations are provided for many common challenges associated with developing this type of therapeutic agent. Insights from these analyses provide testable hypotheses and grant direction to drug development efforts in this promising area. The mathematical and analytical tools described in this article may also have broader applications in other areas of biology and chemistry in which ternary complexes are observed.
Acute ischemic stroke can be caused by in situ stenotic vessel occlusion. In the present study, we compared the extent of arterial wall damage and miRNA expression following stent retriever use under normal and stenotic conditions.
The stent retriever procedure was simulated in three dogs by the creation of four stenoses on each side of the common carotid artery (CCA) to allow five stent passages. Device safety was also assessed in normal control models by five passages through both CCAs. Device manipulation-related damage to the arterial walls was evaluated and compared between groups by angiography and pathological analysis. Real-time PCR was used to evaluate the differences in the expression of miRNAs between the two groups.
Twenty-four stenoses were created in three model dogs, and the mean stenosis rate was 65.58%±18.95%. Angiography revealed greater vasospasm in the stenotic group than in the non-stenotic group (1.17±0.17 vs 0.5±0.23; P=0.04). Pathological examination revealed that SR passage through the stenotic lumen caused higher injury scores (1.63±0.19 vs 0.25±0.09 for the non-stenotic lumen; P<0.001), more endothelial denudation (1.79±0.13 vs 0.58±0.13 for the non-stenotic lumen; P<0.001), and increased thrombus deposition (0.71±0.14 vs 0±0 for the non-stenotic lumen; P<0.001). miR21-3p, miR29-3p, and miR26a were upregulated in stenotic vessels compared with non-stenotic vessels after SR thrombectomy (P<0.001).
In our model dogs, SR thrombectomy resulted in more severe tissue damage to the arterial wall under stenotic conditions than under non-stenotic conditions. The damage may have resulted from upregulation of miR21-3p, miR29-3p, and miR26a expression.
In our model dogs, SR thrombectomy resulted in more severe tissue damage to the arterial wall under stenotic conditions than under non-stenotic conditions. The damage may have resulted from upregulation of miR21-3p, miR29-3p, and miR26a expression.
Website: https://www.selleckchem.com/products/r-hts-3.html
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