Sirt3 deficiency induced down regulation of insulin degrading enzyme in comorbid Alzheimer's disease with metabolic syndrome.

SIRT3 deacetylates mitochondrial proteins, thereby enhancing their function. We have previously demonstrated that Sirt3 gene deletion leads to brain mitochondrial dysfunction and neuroinflammation. We also reported that silencing of Sirt3 gene in APP/PS1 mice results in exacerbation of insulin resistance, neuroinflammation and ß amyloid plaque deposition. To further understand how metabolic syndrome and amyloid pathology interact, we performed RNA-seq analysis of the brain samples of APP/PS1/Sirt3-/- mice. Gene expression patterns were modulated in metabolic and inflammatory pathways by Sirt3 gene deletion, amyloid pathology, and the combination. Following Sirt3 gene deletion, a key finding was the decreased expression of insulin-degrading enzyme (IDE), an enzyme that regulates the levels of insulin and Aß peptides. Western diet feeding of Sirt3-/- and APP/PS1 mice resulted in decrease of IDE protein, parallel to Sirt3 downregulation. Conversely, activation of SIRT3 by nicotinamide riboside in vivo and in vitro resulted in IDE upregulation. SIRT3 activation in vivo also increased the levels of neprilysin, another Aß degrading enzyme and decreased the levels of BACE1 which generates Aß peptide suggesting SIRT3's role in amyloid plaque reduction. Our findings provide a plausible mechanism linking metabolic syndrome and amyloid pathology. SIRT3 may be a potential therapeutic target to treat AD.

MSCAT: A Machine Learning Assisted Catalog of Metabolomics Software Tools.

The bottleneck for taking full advantage of metabolomics data is often the availability, awareness, and usability of analysis tools. Software tools specifically designed for metabolomics data are being developed at an increasing rate, with hundreds of available tools already in the literature. Many of these tools are open-source and freely available but are very diverse with respect to language, data formats, and stages in the metabolomics pipeline. To help mitigate the challenges of meeting the increasing demand for guidance in choosing analytical tools and coordinating the adoption of best practices for reproducibility, we have designed and built the MSCAT (Metabolomics Software CATalog) database of metabolomics software tools that can be sustainably and continuously updated. This database provides a survey of the landscape of available tools and can assist researchers in their selection of data analysis workflows for metabolomics studies according to their specific needs. We used machine learning (ML) methodology for the purpose of semi-automating the identification of metabolomics software tool names within abstracts. MSCAT searches the literature to find new software tools by implementing a Named Entity Recognition (NER) model based on a neural network model at the sentence level composed of a character-level convolutional neural network (CNN) combined with a bidirectional long-short-term memory (LSTM) layer and a conditional random fields (CRF) layer. The list of potential new tools (and their associated publication) is then forwarded to the database maintainer for the curation of the database entry corresponding to the tool. The end-user interface allows for filtering of tools by multiple characteristics as well as plotting of the aggregate tool data to monitor the metabolomics software landscape.

Molecular Mechanism of Pin1-Tau Recognition and Catalysis.

Human peptidyl-prolyl isomerase (PPIase) Pin1 plays key roles in developmental processes, cell proliferation, and neuronal function. Extensive phosphorylation of the microtubule binding protein tau has been implicated in neurodegeneration and Alzheimer's disease. For the past 15years, these two players have been the focus of an enormous research effort to unravel the biological relevance of their interplay in health and disease, resulting in a series of proposed molecular mechanism of how Pin1 catalysis of tau results in biological phenotypes. Our results presented here refute these mechanisms of Pin1 action. Using NMR, isothermal calorimetry (ITC), and small angle x-ray scattering (SAXS), we dissect binding and catalysis on multiple phosphorylated tau with particular emphasis toward the Alzheimer's associated AT180 tau epitope containing phosphorylated THR231 and SER235. We find that phosphorylated (p-) SER235-PRO, but not pTHR231-PRO, is exclusively catalyzed by full-length Pin1 and isolated PPIase domain. Importantly, site-specific measurements of Pin1-catalysis of CDK2/CycA-phosphorylated full-length tau reveal a number of sites that are catalyzed simultaneously with different efficiencies. Furthermore, we show that the turnover efficiency at pSER235 by Pin1 is independent of both the WW domain and phosphorylation on THR231. Our mechanistic results on site-specific binding and catalysis together with the lack of an increase of dephosphorylation rates by PP2A counter a series of previously published models for the role of Pin1 catalysis of tau in Alzheimer's disease. Together, our data reemphasize the complicated scenario between binding and catalysis of multiple phosphorylated tau by Pin1 and the need for directly linking biological phenotypes and residue-specific turnover in Pin1 substrates.

Dissecting the microscopic steps of the cyclophilin A enzymatic cycle on the biological HIV-1 capsid substrate by NMR.

Peptidyl-prolyl isomerases (PPIases) are emerging as key regulators of many diverse biological processes. Elucidating the role of PPIase activity in vivo has been challenging because mutagenesis of active-site residues not only reduces the catalytic activity of these enzymes but also dramatically affects substrate binding. Employing the cyclophilin A PPIase together with its biologically relevant and natively folded substrate, the N-terminal domain of the human immunodeficiency virus type 1 capsid (CA(N)) protein, we demonstrate here how to dissect residue-specific contributions to PPIase catalysis versus substrate binding utilizing NMR spectroscopy. Surprisingly, a number of cyclophilin A active-site mutants previously assumed to be strongly diminished in activity toward biological substrates based only on a peptide assay catalyze the human immunodeficiency virus capsid with wild-type activity but with a change in the rate-limiting step of the enzymatic cycle. The results illustrate that a quantitative analysis of catalysis using the biological substrates is critical when interpreting the effects of PPIase mutations in biological assays.

Transient non-native hydrogen bonds promote activation of a signaling protein.

Phosphorylation is a common mechanism for activating proteins within signaling pathways. Yet, the molecular transitions between the inactive and active conformational states are poorly understood. Here we quantitatively characterize the free-energy landscape of activation of a signaling protein, nitrogen regulatory protein C (NtrC), by connecting functional protein dynamics of phosphorylation-dependent activation to protein folding and show that only a rarely populated, pre-existing active conformation is energetically stabilized by phosphorylation. Using nuclear magnetic resonance (NMR) dynamics, we test an atomic scale pathway for the complex conformational transition, inferred from molecular dynamics simulations (Lei et al., 2009). The data show that the loss of native stabilizing contacts during activation is compensated by non-native transient atomic interactions during the transition. The results unravel atomistic details of native-state protein energy landscapes by expanding the knowledge about ground states to transition landscapes.

Mesodynamics in the SARS nucleocapsid measured by NMR field cycling.

Protein motions on all timescales faster than molecular tumbling are encoded in the spectral density. The dissection of complex protein dynamics is typically performed using relaxation rates determined at high and ultra-high field. Here we expand this range of the spectral density to low fields through field cycling using the nucleocapsid protein of the SARS coronavirus as a model system. The field-cycling approach enables site-specific measurements of R (1) at low fields with the sensitivity and resolution of a high-field magnet. These data, together with high-field relaxation and heteronuclear NOE, provide evidence for correlated rigid-body motions of the entire beta-hairpin, and corresponding motions of adjacent loops with a time constant of 0.8 ns (mesodynamics). MD simulations substantiate these findings and provide direct verification of the time scale and collective nature of these motions.

Solution characterization of the extracellular region of CD147 and its interaction with its enzyme ligand cyclophilin A.

The CD147 receptor plays an integral role in numerous diseases by stimulating the expression of several protein families and serving as the receptor for extracellular cyclophilins; however, neither CD147 nor its interactions with its cyclophilin ligands have been well characterized in solution. CD147 is a unique protein in that it can function both at the cell membrane and after being released from cells where it continues to retain activity. Thus, the CD147 receptor functions through at least two mechanisms that include both cyclophilin-independent and cyclophilin-dependent modes of action. In regard to CD147 cyclophilin-independent activity, CD147 homophilic interactions are thought to underlie its activity. In regard to CD147 cyclophilin-dependent activity, cyclophilin/CD147 interactions may represent a novel means of signaling since cyclophilins are also peptidyl-prolyl isomerases. However, direct evidence of catalysis has not been shown within the cyclophilin/CD147 complex. In this report, we have characterized the solution behavior of the two most prevalent CD147 extracellular isoforms through biochemical methods that include gel-filtration and native gel analysis as well as directly through multiple NMR methods. All methods indicate that the extracellular immunoglobulin-like domains are monomeric in solution and, thus, suggest that CD147 homophilic interactions in vivo are mediated through other partners. Additionally, using multiple NMR techniques, we have identified and characterized the cyclophilin target site on CD147 and have shown for the first time that CD147 is also a substrate of its primary cyclophilin enzyme ligand, cyclophilin A.

Structure and dynamics of pin1 during catalysis by NMR.

The link between internal enzyme motions and catalysis is poorly understood. Correlated motions in the microsecond-to-millisecond timescale may be critical for enzyme function. We have characterized the backbone dynamics of the peptidylprolyl isomerase (Pin1) catalytic domain in the free state and during catalysis. Pin1 is a prolyl isomerase of the parvulin family and specifically catalyzes the isomerization of phosphorylated Ser/Thr-Pro peptide bonds. Pin1 has been shown to be essential for cell-cycle progression and to interact with the neuronal tau protein inhibiting its aggregation into fibrillar tangles as found in Alzheimer's disease. (15)N relaxation dispersion measurements performed on Pin1 during catalysis reveal conformational exchange processes in the microsecond timescale. A subset of active site residues undergo kinetically similar exchange processes even in the absence of a substrate, suggesting that this area is already "primed" for catalysis. Furthermore, structural data of the turning-over enzyme were obtained through inter- and intramolecular nuclear Overhauser enhancements. This analysis together with a characterization of the substrate concentration dependence of the conformational exchange allowed the distinguishing of regions of the enzyme active site that are affected primarily by substrate binding versus substrate isomerization. Together these data suggest a model for the reaction trajectory of Pin1 catalysis.

Intrinsic dynamics of an enzyme underlies catalysis.

A unique feature of chemical catalysis mediated by enzymes is that the catalytically reactive atoms are embedded within a folded protein. Although current understanding of enzyme function has been focused on the chemical reactions and static three-dimensional structures, the dynamic nature of proteins has been proposed to have a function in catalysis. The concept of conformational substates has been described; however, the challenge is to unravel the intimate linkage between protein flexibility and enzymatic function. Here we show that the intrinsic plasticity of the protein is a key characteristic of catalysis. The dynamics of the prolyl cis-trans isomerase cyclophilin A (CypA) in its substrate-free state and during catalysis were characterized with NMR relaxation experiments. The characteristic enzyme motions detected during catalysis are already present in the free enzyme with frequencies corresponding to the catalytic turnover rates. This correlation suggests that the protein motions necessary for catalysis are an intrinsic property of the enzyme and may even limit the overall turnover rate. Motion is localized not only to the active site but also to a wider dynamic network. Whereas coupled networks in proteins have been proposed previously, we experimentally measured the collective nature of motions with the use of mutant forms of CypA. We propose that the pre-existence of collective dynamics in enzymes before catalysis is a common feature of biocatalysts and that proteins have evolved under synergistic pressure between structure and dynamics.