Hyuk Nam Kwon

A new NMR-based metabolomics approach for the diagnosis of biliary tract cancer.

BACKGROUND & AIMS Biliary tract cancer is highly lethal at presentation, with increasing mortality worldwide. Current diagnostic measures employing multiple criteria such as imaging, cytology, and serum tumor markers are not satisfactory, and a new diagnostic tool is needed. Because bile is a cognate metabolite-rich bio-fluid in the biliary ductal system, we tested a new metabolomic approach to develop an effective diagnostic tool. METHODS Biles were collected prospectively from patients with cancer (n=17) or benign biliary tract diseases (n=21) with percutaneous or endoscopic methods. Nuclear magnetic resonance spectra (NMR) of these biles were analyzed using orthogonal partial least square discriminant analysis (OPLS-DA). RESULTS The metabolomic 2-D score plot showed good separation between cancer and benign groups. The contributing NMR signals were analyzed using a statistical TOCSY approach. The diagnostic performance assessed by leave-one-out analysis exhibited 88% sensitivity and 81% specificity, better than the conventional markers (CEA, CA19-9, and bile cytology). CONCLUSION The NMR-based metabolomics approach provides good performance in discriminating cancer and benign biliary duct diseases. The excellent predictability of the method suggests that it can, at least, augment the currently available diagnostic approaches.

Application of a 1H nuclear magnetic resonance (NMR) metabolomics approach combined with orthogonal projections to latent structure-discriminant analysis as an efficient tool for discriminating between Korean and Chinese herbal medicines

Correct identification of the origins of herbal medical products is becoming increasingly important in tandem with the growing interest in alternative medicine. However, visual inspection of raw material is still the most widely used method, and newer scientific approaches are needed. To develop a more objective and efficient tool for discriminating herbal origins, particularly Korean and Chinese, we employed a nuclear magnetic resonance (NMR)-based metabolomics approach combined with an orthogonal projections to latent structure-discriminant analysis (OPLS-DA) multivariate analysis. We first analyzed the constituent metabolites of Scutellaria baicalensis through NMR studies. Subsequent holistic data analysis with OPLS-DA yielded a statistical model that could cleanly discriminate between the sample groups even in the presence of large structured noise. An analysis of the statistical total correlation spectroscopy (STOCSY) spectrum identified citric acid and arginine as the key discriminating metabolites for Korean and Chinese samples. As a validation of the discrimination model, we performed blind prediction tests of sample origins using an external test set. Our model correctly predicted the origins of all of the 11 test samples, demonstrating its robustness. We tested the wider applicability of the developed method with three additional herbal medicines from Korea and China and obtained very high prediction accuracy. The solid discriminatory power and statistical validity of our method suggest its general applicability for determining the origins of herbal medicines.

NMR-Based Metabolomics Approach for the Differentiation of Ginseng (Panax ginseng) Roots from Different Origins

Agro-herbal materials vary in prices and qualities depending on the origin and age and the differentiation is both scientific and public health issue. Here, we describe a metabolomics approach used to discriminate ginseng roots from different sources. Six different types of ginseng roots from China and Korea were analyzed by NMR-based metabolomics. Chinese Dangsam showed prominent differences and was easily differentiated. The difference was mainly due to the large signals in the sugar region. We further analyzed the metabolomics results in subgroups. Jeonra (Korean), Choongcheong (Korean), and Chinese ginseng in subgroup 1 could be easily differentiated by the first two principal components. The loading plot for PC1 showed that the Jeonra and Chinese ginseng roots were mainly separated by sugar signals and methyl signals but that they were reverse-correlated. A diffusion-ordered spectroscopy (DOSY) analysis showed that the methyl signals are from high molecular weight compounds and that the sugar signals are either from oligosaccharides or ginsenosides. In subgroup 2, composed of Korean Choongcheong ginseng at different ages, we were able to see age-dependent transitions in the score plot. We believe our approach can be applied to detecting the adulteration of ginseng root powders and other herbal products from different origins.

Predicting idiopathic toxicity of cisplatin by a pharmacometabonomic approach

Cisplatin has been one of the most widely used anticancer agents, but its nephrotoxicity remains a dose-limiting complication. Here, we evaluated the idiopathic nature and the predose prediction of cisplatin-induced nephrotoxicity using a nuclear magnetic resonance (NMR)-based pharmacometabonomic approach. Cisplatin produced serious toxic responses in some animals (toxic group), but had little effect in others (nontoxic group), as judged by hematological and histological results. The individual metabolic profiles, assessed by urine NMR spectra, showed large differences between the post-administration profiles of the two groups, indicating the relevance of the NMR approach. Importantly, multivariate analysis of the NMR data showed that the toxic and nontoxic groups can be differentiated based on the pretreatment metabolite profiles. Leave-one-out analysis, performed to evaluate the practical performance of our approach, gave a 66% accuracy rate in predicting toxic responses based on the pretreatment metabolite profiles. Hence, we provide a working model that can explain the idiopathic toxicity mechanism based on marker metabolites found by NMR analysis consistent with tissue NADH measurements. Thus, a pharmacometabonomic approach using pretreatment metabolite profiles may help expedite personalized chemotherapy of anticancer drugs.

An Effective Assessment of Simvastatin-Induced Toxicity with NMR-Based Metabonomics Approach

Background Simvastatin, which is used to control elevated cholesterol levels, is one of the most widely prescribed drugs. However, a daily excessive dose can induce drug-toxicity, especially in muscle and liver. Current markers for toxicity reflect mostly the late stages of tissue damage; thus, more efficient methods of toxicity evaluation are desired. Methodology/Principal Findings As a new way to evaluate toxicity, we performed NMR-based metabonomics analysis of urine samples. Compared to conventional markers, such as AST, ALT, and CK, the urine metabolic profile provided clearer distinction between the pre- and post-treatment groups treated with toxic levels of simvastatin. Through multivariate statistical analysis, we identified marker metabolites associated with the toxicity. Importantly, we observed that the treatment group could be further categorized into two subgroups based on the NMR profiles: weak toxicity (WT) and high toxicity (HT). The distinction between these two groups was confirmed by the enzyme values and histopathological exams. Time-dependent studies showed that the toxicity at 10 days could be reliably predicted from the metabolic profiles at 6 days. Conclusions/Significance This metabonomics approach may provide a non-invasive and effective way to evaluate the simvastatin-induced toxicity in a manner that can complement current measures. The approach is expected to find broader application in other drug-induced toxicity assessments.

Alanine-metabolizing enzyme Alt1 is critical in determining yeast life span, as revealed by combined metabolomic and genetic studies.

Alterations in metabolic pathways are gaining attention as important environmental factors affecting life span, but the determination of specific metabolic pathways and enzymes involved in life span remains largely unexplored. By applying an NMR-based metabolomics approach to a calorie-restricted yeast (Saccharomyces cerevisiae) model, we found that alanine level is inversely correlated with yeast chronological life span. The involvement of the alanine-metabolizing pathway in the life span was tested using a deletion mutant of ALT1, the gene for a key alanine-metabolizing enzyme. The mutant exhibited increased endogenous alanine level and much shorter life span, demonstrating the importance of ALT1 and alanine metabolic pathways in the life span. ALT1s effect on life span was independent of the TOR pathway, as revealed by a tor1 deletion mutant. Further mechanistic studies showed that alt1 deletion suppresses cytochrome c oxidase subunit 2 expression, ultimately generating reactive oxygen species. Overall, ALT1 seems critical in determining yeast life span, and our approach should be useful for the mechanistic studies of life span determinations.

Prediction of glycated hemoglobin levels at 3 months after metabolic surgery based on the 7-day plasma metabolic profile.

Metabolic surgery has been shown to provide better glycemic control for type 2 diabetes than conventional therapies. Still, the outcomes of the surgery are variable, and prognostic markers reflecting the metabolic changes by the surgery are yet to be established. NMR-based plasma metabolomics followed by multivariate regression was used to test the correlation between the metabolomic profile at 7-days after surgery and glycated hemoglobin (HbA1c) levels at 3-months (and up to 12 months with less patients), and to identify the relevant markers. Metabolomic profiles at 7-days could differentiate the patients according to the HbA1c improvement status at 3-months. The HbA1c values were predicted based on the metabolomics profile with partial least square regression, and found to be correlated with the observed values. Metabolite analysis suggested that 3-Hydroxybutyrate (3-HB) and glucose contributes to this prediction, and the [3-HB]/[glucose] exhibited a modest to good correlation with the HbA1c level at 3-months. The prediction of 3-month HbA1c using 7-day metabolomic profile and the suggested new criterion [3-HB]/[glucose] could augment current prognostic modalities and help clinicians decide if drug therapy is necessary.

Distinct interactions between ubiquitin and the SH3 domains involved in immune signaling

The SH3 domain is a versatile protein interaction motif that generally recognizes proline rich sequences (PRS). Recently, it has been shown that some SH3 domains in the endocytotic pathway can bind to ubiquitin. Moreover, Phe73 in the SH3 domain has been proposed to be an important determinant of the interaction, as the SH3 domains having Tyr73, either naturally or by mutation, failed to bind. Since SH3 domains are also important in immune receptor signaling, we investigated the interactions between immunologically relevant SH3 domains and ubiquitin. We observed that some of these SH3 domains can also bind to ubiquitin. Interestingly, we found that Nck2-SH3-3 bound to ubiquitin despite its Tyr at residue 73 (Tyr56 in our actual construct), but that CD2BP1-SH3 failed to bind, even though it has Phe at an equivalent position. Through detailed NMR binding studies on SH3 domains with Phes and Tyrs at the 73 position, we found that the two types of SH3 domains exhibit mechanistic differences in ubiquitin binding. We showed that the relative contribution of each binding sub-region in both SH3 domains and ubiquitin is quite different in the two binding modes. Such results raise the possibility that the mechanistic variety of these immunologically relevant SH3 domains might contribute to their functional diversity.

Application of a Smartphone Metabolomics Platform to the Authentication of Schisandra sinensis

INTRODUCTION Herbal medicines have been used for a long time all around the world. Since the quality of herbal preparations depends on the source of herbal materials, there has been a strong need to develop methods to correctly identify the origin of materials. OBJECTIVE To develop a smartphone metabolomics platform as a simpler and low-cost alternative for the identification of herbal material source. METHODOLOGY Schisandra sinensis extracts from Korea and China were prepared. The visible spectra of all samples were measured by a smartphone spectrometer platform. This platform included all the necessary measures built-in for the metabolomics research: data acquisition, processing, chemometric analysis and visualisation of the results. The result of the smartphone metabolomics platform was compared to that of NMR-based metabolomics, suggesting the feasibility of smartphone platform in metabolomics research. RESULTS The smartphone metabolomics platform gave similar results to the NMR method, showing good separation between Korean and Chinese materials and correct predictability for all test samples. CONCLUSION With its accuracy and advantages of affordability, user-friendliness, and portability, the smartphone metabolomics platform could be applied to the authentication of other medicinal plants. Copyright

A new mechanism in the binding between Homer3 EVH1 domain and inositol 1,4,5 trisphosphate receptor suppressor domain

The suppressor domain of inositol 1,4,5 trisphosphate receptor (IP3R) has critical roles in regulating the calcium channel by interacting with many binding partners. The residue 49-53 (PPKKF) of the suppressor domain was suggested to be a canonical Homer EVH1 domain binding site and is also the first a part of calmodulin (CaM) binding site. As CaM-binding of the suppressor domain has been shown to involve large-scale conformational changes, we studied the binding characteristics of the Homer EVH1-suppressor domain with NMR spectroscopy and biochemical pull-down assays for mutants. Our data show that the suppressor domain employs the PPKKF motif in a similar but subtly different way compared to previously characterized interactions, and that the suppressor domain does not undergo large-scale conformational changes. Chemical shift assignments of the Homer3 EVH1 domain found that a new set of residues, located at the opposite side of the previously reported binding site, is also involved in binding, which was confirmed by mutant binding assays. Further analysis suggests that F40 in the new binding sites may have a critical role as a conformational lock-switch in Homer-target binding. The proposed mechanism is implicated in the signaling network involving calcium channels.