Individual Enzymes Research Articles

Lysine deacetylase inhibitors have low selectivity in cells and exhibit predominantly off-target effects.

Lysine deacetylases (KDACs or HDACs) are metal-dependent enzymes that regulate lysine acetylation, a post-translational modification that is present on thousands of human proteins, essential for many cellular processes, and often misregulated in diseases. The selective inhibition of KDACs would allow for understanding of the biological roles of individual KDACs and therapeutic targeting of individual enzymes. Recent studies have suggested that purportedly specific KDAC inhibitors have significant off-target binding, but the biological consequences of off-target binding were not evaluated. We compared the effects of treatment with two of the reportedly most KDAC-selective inhibitors, Tubastatin A and PCI-34051, in HT1080 cells in which the endogenous KDAC6 or KDAC8 gene has been mutated to inactivate enzyme catalysis while retaining enzyme expression. Genetic inactivation results in much stronger deacetylation defects on known targets compared to inhibitor treatment. Gene expression analysis revealed that both inhibitors have extensive and extensively overlapping off-target effects in cells, even at low inhibitor doses. Furthermore, Tubastatin A treatment led to increased histone acetylation, while inactivation of KDAC6 or KDAC8 did not. Genetic inactivation of KDAC6, but not KDAC8, impaired tumor formation in a xenograft model system, in contrast to previous reports with KDAC inhibitors suggesting the reverse. We conclude that the majority of observed biological effects of treatment with KDAC inhibitors are due to off-target effects rather than the intended KDAC inhibition. Developing a truly specific KDAC6 inhibitor could be a promising therapeutic avenue, but it is imperative to develop new inhibitors that selectively mimic genetic inactivation of individual KDACs.

Adaptive laboratory evolution recruits the promiscuity of succinate semialdehyde dehydrogenase to repair different metabolic deficiencies

Promiscuous enzymes often serve as the starting point for the evolution of novel functions. Yet, the extent to which the promiscuity of an individual enzyme can be harnessed several times independently for different purposes during evolution is poorly reported. Here, we present a case study illustrating how NAD(P)+-dependent succinate semialdehyde dehydrogenase of Escherichia coli (Sad) is independently recruited through various evolutionary mechanisms for distinct metabolic demands, in particular vitamin biosynthesis and central carbon metabolism. Using adaptive laboratory evolution (ALE), we show that Sad can substitute for the roles of erythrose 4-phosphate dehydrogenase in pyridoxal 5’-phosphate (PLP) biosynthesis and glyceraldehyde 3-phosphate dehydrogenase in glycolysis. To recruit Sad for PLP biosynthesis and glycolysis, ALE employs various mechanisms, including active site mutation, copy number amplification, and (de)regulation of gene expression. Our study traces down these different evolutionary trajectories, reports on the surprising active site plasticity of Sad, identifies regulatory links in amino acid metabolism, and highlights the potential of an ordinary enzyme as innovation reservoir for evolution.

Biochemical Parameters of Fallow Light Soil Enriched with Sewage Sludge

One way to manage sewage sludge, which is consistent with the assumptions of the European Green Deal, is to use it in agriculture. The study focused on the possibility of using soil enzyme activity and the GMea index (the geometric mean of enzyme activities) in connection with the total organic carbon (TOC) and the total nitrogen (TN) content to assess the quality of fallow light soil after exogenous organic matter (EOM) fertilization. Exogenous organic matter in the form of stabilized municipal sewage sludge was introduced into the soil. The experiment included five variants: one control site and four sites with 30, 75, 150, and 300 Mg ha−1 of sewage sludge added to the soil. The contents of TOC, TN and heavy metals (Zn, Cu, Pb, Cd) in the soil material were assayed. In addition, the activity of soil enzymes, i.e., neutral phosphatase, urease, protease and dehydrogenase, was examined, and the geometric mean of the enzyme activities (GMea index) was calculated. Fertilization of light soil with sewage sludge resulted in an increase in TOC and TN proportionally to the EOM dose. The addition of sewage sludge increased the content of tested heavy metals in the soil and did not exceed the levels considered acceptable. The introduction of sewage sludge contributed to the stimulation of biological life in the soil. This was evidenced by an intensification of soil enzyme activity. However, individual enzymes showed a different response to EOM fertilization, while GMea showed a significant increase in the quality of the fallowed soils as the EOM rate increased to 150 Mg ha−1.

Peptidoglycan Endopeptidase PBP7 Facilitates the Recruitment of FtsN to the Divisome and Promotes Peptidoglycan Synthesis in Escherichia coli.

Escherichia coli has many periplasmic hydrolases to degrade and modify peptidoglycan (PG). However, the redundancy of eight PG endopeptidases makes it challenging to define specific roles to individual enzymes. Therefore, the cellular role of PBP7 (encoded by pbpG) is not clearly defined. In this work, we show that PBP7 localizes in the lateral cell envelope and at midcell. The C-terminal α-helix of PBP7 is crucial for midcell localization but not for its activity, which is dispensable for this localization. Additionally, midcell localization of PBP7 relies on the assembly of FtsZ up to FtsN in the divisome, and on the activity of PBP3. PBP7 was found to affect the assembly timing of FtsZ and FtsN in the divisome. The absence of PBP7 slows down the assembly of FtsN at midcell. The ΔpbpG mutant exhibited a weaker incorporation of the fluorescent D-amino acid HADA, reporting on transpeptidase activity, compared to wild-type cells. This could indicate reduced PG synthesis at the septum of the ΔpbpG strain, explaining the slower accumulation of FtsN and suggesting that endopeptidase-mediated PG cleavage may be a rate-limiting step for septal PG synthesis.

Catalytic Potential-Guided Design of Multi-Enzymatic System for DHA Production from Glycerol

The growing demand for sustainable chemical production has spurred significant interest in biocatalysis. This study is framed within the biocatalytic production of 1,3-dihydroxyacetone (DHA) from glycerol, a byproduct of biodiesel manufacturing. The main goal of this study is to address the challenge of identifying the optimal operating conditions. To achieve this, catalytic potential, a lumped parameter that considers both the activity and stability of immobilized biocatalysts, was used to guide the design of a multi-enzymatic system. The multi-enzymatic system comprises glycerol dehydrogenase (GlyDH) and NADH oxidase (NOX). The enzymatic oxidation of glycerol to DHA catalyzed by GlyDH requires the cofactor NAD+. The integration of NOX into a one-pot reactor allows for the in situ regeneration of NAD+, enhancing the overall efficiency of the process. Furthermore, immobilization on Ni+2 agarose chelated supports, combined with post-immobilization modifications (glutaraldehyde crosslinking for GlyDH), significantly improved the stability and activity of both enzymes. The catalytic potential enabled the identification of the optimal operating conditions, which were 30 °C and pH 7.5, favoring NOX stability. This work establishes a framework for the rational design and optimization of multi-enzymatic systems. It highlights the crucial interplay between individual enzyme properties and process conditions to achieve efficient and sustainable biocatalytic transformations.

Strangers in a foreign land: 'Yeastizing' plant enzymes.

Expressing plant metabolic pathways in microbial platforms is an efficient, cost-effective solution for producing many desired plant compounds. As eukaryotic organisms, yeasts are often the preferred platform. However, expression of plant enzymes in a yeast frequently leads to failure because the enzymes are poorly adapted to the foreign yeast cellular environment. Here, we first summarize the current engineering approaches for optimizing performance of plant enzymes in yeast. A critical limitation of these approaches is that they are labour-intensive and must be customized for each individual enzyme, which significantly hinders the establishment of plant pathways in cellular factories. In response to this challenge, we propose the development of a cost-effective computational pipeline to redesign plant enzymes for better adaptation to the yeast cellular milieu. This proposition is underpinned by compelling evidence that plant and yeast enzymes exhibit distinct sequence features that are generalizable across enzyme families. Consequently, we introduce a data-driven machine learning framework designed to extract 'yeastizing' rules from natural protein sequence variations, which can be broadly applied to all enzymes. Additionally, we discuss the potential to integrate the machine learning model into a full design-build-test cycle.

Harnessing Water Competition to Drive Enzyme Crosstalk.

In nature, enzymatic pathways often involve compartmentalization effects that can modify the intrinsic activity and specificity of the different enzymes involved. Consequently, extensive research has focused on replicating and studying the compartmentalization effects on individual enzymes and on multistep enzyme "cascade" reactions. This study explores the influence of compartmentalization achieved using molecular crowding on the glucose oxidase/horseradish peroxidase (GOx/HRP) cascade reaction. The crowder tested is methoxy poly(ethylene glycol) (mPEG) that can, depending on conditions, promote GOx and HRP coassociation at the nanoscale and extend their contact time. Low-molecular-weight mPEG (0.35 kDa), but not mPEG of higher molecular weights (5 or 20 kDa), significantly enhanced the cascade reaction where up to a 20-fold increase in the rate of the cascade reaction was observed under some conditions. The combined analyses emphasize the particularity of low-molecular-weight mPEG and point toward mPEG-induced coassociation of HRP and GOx, producing nearest crowded neighbor effects of HRP on GOx, and vice versa. These altered the nanoscale environments of these enzymes, which influenced substrate affinity. Using mPEG to promote protein coassociation is simple and does not chemically modify the proteins studied. This approach could be of interest for more broadly characterizing nearest crowded neighbor effects (i.e., protein-protein interactions) for multiprotein systems (i.e., more than just two), thus making it an interesting tool for studying very complex systems, such as those found in nature.

The association between toxic metal exposure, race, gender, and liver enzymes in individuals with nonalcoholic fatty liver disease

The association between toxic metal exposure, race, gender, and liver enzymes in individuals with nonalcoholic fatty liver disease

Clotrimazole Identified as a Selective UGT2B4 Inhibitor Using Canagliflozin-2'-O-Glucuronide Formation as a Selective UGT2B4 Probe Reaction.

UGT2B4 is a highly expressed drug-metabolizing enzyme in the liver contributing to the glucuronidation of several drugs. To enable quantitatively assessing UGT2B4 contribution toward metabolic clearance, a potent and selective UGT2B4 inhibitor that can be used for reaction phenotyping was sought. Initially, a canagliflozin-2'-O-glucuronyl transferase activity assay was developed in recombinant UGT2B4 and human liver microsomes (HLM) [±2% bovine serum albumin (BSA)]. Canagliflozin-2'-O-glucuronidation (C2OG) substrate concentration at half-maximal velocity value in recombinant UGT2B4 and HLM were similar. C2OG formation intrinsic clearance was five- to seven-fold higher in incubations containing 2% BSA, suggesting UGT2B4 susceptibility to the inhibitory unsaturated long-chain fatty acids released during the incubation. Monitoring for C2OG formation, 180 compounds were evaluated for UGT2B4 inhibition potency in the presence and absence of 2% BSA. Compounds that exhibited an apparent UGT2B4 IC50 of < 1 μM in HLM with 2% BSA were evaluated for inhibition of UGT1A1, UGT1A3, UGT1A4, UGT1A6, UGT1A9, UGT2B7, UGT2B10, UGT2B15, and UGT2B17 catalytic activities to establish selectivity suitable for supporting UGT reaction phenotyping. In this study, clotrimazole was identified as a potent UGT2B4 inhibitor (HLM apparent IC50 of 11 to 35 nM ± 2% BSA). Moreover, clotrimazole exhibited selectivity for UGT2B4 inhibition (>24-fold) over the other UGT enzymes evaluated. Additionally, during this study it was discovered that the previously described UGT2B7 inhibitors 16α- and 16β-phenyllongifolol also inhibit UGT2B4. Clotrimazole, a potent and selective UGT2B4 inhibitor, will prove essential during UGT reaction phenotyping. SIGNIFICANCE STATEMENT: To mechanistically evaluate drug interactions, it is essential to understand the contribution of individual enzymes to the metabolic clearance of a drug. The present study describes the development of a UGT2B4 activity assay that enabled the discovery of the highly selective and potent UGT2B4 inhibitor clotrimazole. Clotrimazole can be used in UGT reaction phenotyping studies to estimate fractional contribution of UGT2B4.

Nanoimpact Electrochemistry for Unraveling the Reactivity of Diffusion Limited Enzymes

The ultimate challenge of modern electroanalytical chemistry is to reach a single-molecule level of detection. In this framework, nanoimpact electrochemistry (NIE) has been recently developed. It allows studying at high throughput the reactivity of small entities such as nanoparticles, cells, or proteins, that collide on a biased ultramicroelectrode (UME) inside a solution or suspension.1 The collisions cause disturbances in the recorded chronoamperogram such as current spikes or current steps.2 Single enzyme electrochemistry (SEE) can contribute to uncovering effects of dynamics and non-equilibrium behavior of individual enzyme molecules on catalysis, which are hidden in measurements on ensembles due to averaging of the measured parameters over the entire molecular population. However, NIE of smaller entities such as enzymes, is very challenging due to the low sensitivity of the state-of-the-art electrochemical equipment, and most single enzyme techniques are currently based on fluorescence.3 One strategy to overcome this issue is the amplification of the current produced by a single enzyme molecule by fast catalysis: the single enzyme converts several substrate molecules per second consuming several electrons leading measurable current. Some of us reported the implementation of this strategy for the first time, designing a single-entity electrochemical experiment that allowed the detection of catalytic currents from single laccase molecules.4 Soon after the initial SEE report in 2016, a similar approach was applied for investigations of catalase,5 an enzyme that breaks down H2O2 to O2 and H2O with diffusion limited kinetics. However, the unequivocal attribution of current disturbances to the reduction of O2 (produced locally by enzyme) on the electrode during enzyme-electrode collisions remains a challenge. We will address this challenge based on the analysis of SEE experimental data under various conditions, on protein film voltammetry (PFV) studies on rotating disk electrode (RDE), and on simulations. The collected data from the SEE, that is the current spike characteristics in each set of conditions, are statistically analyzed and discussed. PFV studies are used to evaluate basic thermodynamic and kinetic parameters of the system. Finally, we have built a model using Comsol Multiphysics. To the best of our knowledge, this is the first model reported so far that can satisfactorily reproduce the experimental SEE data, using experimentally evaluated parameters as input. The developed methodology is the succesfully implemented to the study of superoxide dismutase.6

Comparison of Relative Activity versus Relative Expression Factors (RAF versus REF) in Predicting Glucuronidation Mediated Drug Clearance Using Recombinant UGTs.

Predicting the quantitative fraction of glucuronidation (fgluc) by individual UDP-glucuronosyltransferase enzymes (UGTs) is challenging due to the lack of selective inhibitors and inconsistent activity of recombinant UGT systems (rUGTs). Our study compares the relative expression versus activity factors (REF versus RAF) to predict fgluc based on rUGT data to human liver and intestinal microsomes (HLM and HIM). REF scalars were derived from a previous in-house proteomics study for eleven UGT enzymes (UGT1A1, UGT1A3, UGT1A4, UGT1A6, UGT1A9, UGT1A10, UGT2B4, UGT2B7, UGT2B10, UGT2B15, and UGT2B17), whereas RAF was calculated by measuring activities in rUGTs to microsomes of selective UGT probe substrates. Protein-normalized activity factor (pnAF) values weregenerated after correcting activity of individual UGTs to their corresponding protein abundance. The utility of REF and RAF in predicting fgluc was assessed for three UGT substrates-diclofenac, vorinostat, and raltegravir. The REF values ranged from 0.02 to 1.75, RAF based on activity obtained in rUGTs to HLM/HIM were from 0.1 to 274. pnAF values were ~ 5 to 80-fold, except for UGT2B4 and UGT2B15, where pnAF was ~ 180 and > 1000, respectively. The results revealed confounding effect of differential specific activities (per pmol) of rUGTs in fgluc prediction. The data suggest that the activity of UGT enzymes was significantly lower when compared to their activity in microsomes at the same absolute protein amount (pmol). Collectively, results of this study demonstrate poor and variable specific activity of different rUGTs (per pmol protein), as determined by pnAF values, which should be considered in fgluc scaling.

Roles of Individual Human Cytochrome P450 Enzymes in Drug Metabolism.

Our knowledge of the roles of individual cytochrome P450 (P450) enzymes in drug metabolism has developed considerably in the past 30 years, and this base has been of considerable use in avoiding serious issues with drug interactions and issues due to variations. Some newer approaches are being considered for "phenotyping" metabolism reactions with new drug candidates. Endogenous biomarkers are being used for noninvasive estimation of levels of individual P450 enzymes. There is also the matter of some remaining "orphan" P450s, which have yet to be assigned reactions. Practical problems that continue in drug development include predicting drug-drug interactions, predicting the effects of polymorphic and other P450 variations, and evaluating interspecies differences in drug metabolism, particularly in the context of "metabolism in safety testing" regulatory issues ["disproportionate (human) metabolites"]. SIGNIFICANCE STATEMENT: Cytochrome P450 enzymes are the major catalysts involved in drug metabolism. The characterization of their individual roles has major implications in drug development and clinical practice.

Regulation of Mitochondrial Respiration by Adenosine Diphosphate and Adenosine Triphosphate

Very often, we present metabolic cycles schematically, i.e. we limit ourselves only to listing precursors, intermediates and end products of metabolism. Meanwhile, it is now well known that poly-enzyme systems have the ability to self-regulate, which is the result of the specific organization of the sequence of reactions, the specific properties of individual enzymes of the system, as well as the action of feedback mechanisms and other types of inhibition. In this report, we will consider the dynamics of electron transfer in mitochondria and its regulation by ADP and ATP

Genome-scale models of metabolism and expression predict the metabolic burden of recombinant protein expression

The production of recombinant proteins in a host using synthetic constructs such as plasmids comes at the cost of detrimental effects such as reduced growth, energetic inefficiencies, and other stress responses, collectively known as metabolic burden. Increasing the number of copies of the foreign gene increases the metabolic load but increases the expression of the foreign protein. Thus, there is a trade-off between biomass and product yield in response to changes in heterologous gene copy number. This work proposes a computational method, rETFL (recombinant Expression and Thermodynamic Flux), for analyzing and predicting the responses of recombinant organisms to the introduction of synthetic constructs. rETFL is an extension to the ETFL formulations designed to reconstruct models of metabolism and expression (ME-models). We have illustrated the capabilities of the method in four studies to (i) capture the growth reduction in plasmid-containing E. coli and recombinant protein production; (ii) explore the trade-off between biomass and product yield as plasmid copy number is varied; (iii) predict the emergence of overflow metabolism in recombinant E. coli in agreement with experimental data; and (iv) investigate the individual pathways and enzymes affected by the presence of the plasmid. We anticipate that rETFL will serve as a comprehensive platform for integrating available omics data for recombinant organisms and making context-specific predictions that can help optimize recombinant expression systems for biopharmaceutical production and gene therapy.

Multivariate Silicification-Assisted Single Enzyme Structure Augmentation for Improved Enzymatic Activity-Stability Trade-Off.

The ability to finely tune/balance the structure and rigidity of enzymes to realize both high enzymatic activity and long-term stability is highly desired but highly challenging. Herein, we propose the concept of the "silicazyme", where solid inorganic silica undergoes controlled hybridization with the fragile enzyme under moderate conditions at the single-enzyme level, thus enabling simultaneous structure augmentation, long-term stability, and high enzymatic activity preservation. A multivariate silicification approach was utilized and occurred around individual enzymes to allow conformal coating. To realize a high activity-stability trade-off the structure flexibility/rigidity of the silicazyme was optimized by a component adjustment ternary (CAT) plot method. Moreover, the multivariate organosilica frameworks bring great advantages, including surface microenvironment adjustability, reversible modification capability, and functional extensibility through the rich chemistry of silica. Overall silicazymes represent a new class of enzymes with promise for catalysis, separations, and nanomedicine.

Evaluation of the Importance of Genetic Polymorphisms in Genes Expressing Cancer-Metabolizing Enzymes (Cyp1a1 and Gstm1) in Oral Submucous Fibrosis.

Genetic polymorphisms are common and contribute significantly to human illnesses. This study was carried out to evaluate the importance of genetic variations in the genes expressing cancer-metabolizing enzymes (CYP1A1 and GSTM1) in individuals experiencing oral submucous fibrosis (OSMF). Based on the clinical and histological characteristics of OSMF, 40 patients were chosen for the study; 10 of these patients had considerable polymorphism and malignant transformation; therefore, they were placed in a different group. After receiving written agreement, 30 normal subject patients were also picked for the study. For both normal and OSMF patients, tissue samples and 2 ml of peripheral venous blood were drawn from the arm vein and placed in a heparinized test tube. Electrophoresis on 0.8% agarose gel was used to verify genomic DNA. The GSTM1 polymorphism, CYP1A1 polymorphism was 10.41% and 15.27% in normal subjects. The GSTM1 polymorphsm, CYP1A1 polymorphism was 16.21% and 8.14% in early OSMF. The GSTM1 polymorphsm, CYP1A1 polymorphism was 20.31% and 28.56% in moderate OSMF. The GSTM1 polymorphsm, CYP1A1 polymorphism was 8.12% and 12.54% in moderate OSMF. Finally, GSTM1 polymorphism was 60.47% in OSMF+ CA, while CYP1A1 polymorphism was 40.21%. The GSTM1 gene polymorphism and CYP1A1 gene polymorphism were maximum in OSMF+ CA category. There is a significant role of genetic variations in the genes expressing cancer-metabolizing enzymes (CYP1A1) and GSTM1 in individuals experiencing OSMF.

Kinetic Behavior of Glutathione Transferases: Understanding Cellular Protection from Reactive Intermediates.

Glutathione transferases (GSTs) are the primary catalysts protecting from reactive electrophile attack. In this review, the quantitative levels and distribution of glutathione transferases in relation to physiological function are discussed. The catalytic properties (random sequential) tell us that these enzymes have evolved to intercept reactive intermediates. High concentrations of enzymes (up to several hundred micromolar) ensure efficient protection. Individual enzyme molecules, however, turn over only rarely (estimated as low as once daily). The protection of intracellular protein and DNA targets is linearly proportional to enzyme levels. Any lowering of enzyme concentration, or inhibition, would thus result in diminished protection. It is well established that GSTs also function as binding proteins, potentially resulting in enzyme inhibition. Here the relevance of ligand inhibition and catalytic mechanisms, such as negative co-operativity, is discussed. There is a lack of knowledge pertaining to relevant ligand levels in vivo, be they exogenous or endogenous (e.g., bile acids and bilirubin). The stoichiometry of active sites in GSTs is well established, cytosolic enzyme dimers have two sites. It is puzzling that a third of the site's reactivity is observed in trimeric microsomal glutathione transferases (MGSTs). From a physiological point of view, such sub-stoichiometric behavior would appear to be wasteful. Over the years, a substantial amount of detailed knowledge on the structure, distribution, and mechanism of purified GSTs has been gathered. We still lack knowledge on exact cell type distribution and levels in vivo however, especially in relation to ligand levels, which need to be determined. Such knowledge must be gathered in order to allow mathematical modeling to be employed in the future, to generate a holistic understanding of reactive intermediate protection.

Targeting the Plasmodium falciparum UCHL3 ubiquitin hydrolase using chemically constrained peptides

The ubiquitin-proteasome system is essential to all eukaryotes and has been shown to be critical to parasite survival as well, including Plasmodium falciparum, the causative agent of the deadliest form of malarial disease. Despite the central role of the ubiquitin-proteasome pathway to parasite viability across its entire life-cycle, specific inhibitors targeting the individual enzymes mediating ubiquitin attachment and removal do not currently exist. The ability to disrupt P. falciparum growth at multiple developmental stages is particularly attractive as this could potentially prevent both disease pathology, caused by asexually dividing parasites, as well as transmission which is mediated by sexually differentiated parasites. The deubiquitinating enzyme PfUCHL3 is an essential protein, transcribed across both human and mosquito developmental stages. PfUCHL3 is considered hard to drug by conventional methods given the high level of homology of its active site to human UCHL3 as well as to other UCH domain enzymes. Here, we apply the RaPID mRNA display technology and identify constrained peptides capable of binding to PfUCHL3 with nanomolar affinities. The two lead peptides were found to selectively inhibit the deubiquitinase activity of PfUCHL3 versus HsUCHL3. NMR spectroscopy revealed that the peptides do not act by binding to the active site but instead block binding of the ubiquitin substrate. We demonstrate that this approach can be used to target essential protein-protein interactions within the Plasmodium ubiquitin pathway, enabling the application of chemically constrained peptides as a novel class of antimalarial therapeutics.

10-(6-Plastoquinonyl) decyltriphenylphosphonium imparts anti-colitogenic protection through recovery of mitochondrial dysfunction in ulcerated murine colon: Implications in ulcerative colitis

AimsTo elucidate the impact of 10-(6-plastoquinonyl) decyltriphenylphosphonium (SkQ1) as an anti-colitogenic agent for maintenance of colon epithelial tract in ulcerated mice through recovery of mitochondrial dysfunction and mitochondrial stress by virtue of its free radical scavenging properties. Main methodsDSS induced ulcerated BALB/c mice were treated with SkQ1 for 14 days @ 30 nmol/kg/body wt./day/mice. Post-treatment, isolated colonic mitochondria were utilized for spectrophotometric and spectrofluorometric biochemical analysis of various mitochondrial functional variables including individual mitochondrial respiratory enzyme complexes. Confocal microscopy was utilized for measuring mitochondrial membrane potential in vivo. ELISA technique was adapted for measuring colonic nitrite and 3–nitrotyrosine (3-NT) content. Finally in vitro cell line study was carried out to substantiate in vivo findings and elucidate the involvement of free radicals in UC using antioxidant/free radical scavenging regimen. Key findingsTreatment with SkQ1 in vivo reduced histopathological severity of colitis, induced recovery of mitochondrial respiratory complex activities and associated functional variables, improved oxidative stress indices and normalized mitochondrial cardiolipin content. Importantly, SkQ1 lowered nitrite concentration and 3–nitrotyrosine formation in vivo. In vitro SkQ1 restored mitochondrial functions wherein the efficacy of SkQ1 proved equal or better compared to SOD and DMSO indicating predominant involvement of O2− and OH in UC. However, NO and ONOO− also seemed to play a secondary role as MEG and L-NAME provided lesser protection as compared to SOD and DMSO. SignificanceSkQ1 can be considered as a potent anti-colitogenic agent by virtue of its free radical scavenging properties in treating UC.

Multivariate Silicification‐Assisted Single Enzyme Structure Augmentation for Improved Enzymatic Activity‐Stability Trade‐Off

The ability to finely tune/balance the structure and rigidity of enzymes to realize both high enzymatic activity and long‐term stability is highly desired but highly challenging. In this work, we propose a new concept of silica‐enzyme, referred to as “silicazyme”, where solid inorganic silica was controlled hybridization with fragile enzyme under moderate condition at single‐enzyme level, realizing simultaneous structure augmentation, long‐term stability, and high enzymatic activity preservation. A multivariate silicification approach was utilized and occurred around individual enzymes to allow conformal coating. To realize a high activity‐stability trade‐off the structure flexibility/rigidity of silicazyme was optimized by a component‐adjustment‐ternary (CAT) plot method. Moreover, the multivariate organosilica frameworks bring great advantages including surface microenvironment adjustability, reversible modification capability, and functional extensibility through the rich chemistry of silica. Overall silicazymes represent a new class of enzymes that promise to broaden their utilization in catalysis, separations, and nanomedicine.