Z-ligustilide and n-Butylidenephthalide Isolated from the Aerial Parts of Angelica tenuissima Inhibit Lipid Accumulation In Vitro and In Vivo.

Abnormal lipid metabolism, such as increased fatty acid uptake and esterification, is associated with nonalcoholic fatty liver disease (NAFLD). The aqueous extract of the aerial part of Angelica tenuissima Nakai (ATX) inhibited high-fat diet-induced hepatic steatosis in mice as well as oleic acid-induced neutral lipid accumulation in HepG2 cells. ATX decreased the mRNA and protein levels of CD36 and diglyceride acyltransferase 2 (DGAT2), the maturation of sterol regulatory element-binding proteins (SREBP), and the expression of the lipogenic target genes fasn and scd1. The ATX components, Z-ligustilide and n-butylidenephthalide, inhibited the expression of FATP5 and DGAT2 and thus oleic acid-induced lipid accumulation in HepG2 cells. These results suggest that ATX and its active components Z-ligustilide and n-butylidenephthalide inhibit fatty acid uptake and esterification in mice and have potential as therapeutics for NAFLD.

Artemisia Capillaris leaves inhibit cell proliferation and induce apoptosis in hepatocellular carcinoma.

BACKGROUND: Natural product is one of the most important sources of drugs used in pharmaceutical therapeutics. Artemisia capillaris has been traditionally used as a hepatoprotective and anti-inflammatory agent. In this study, we extracted an ethanol fraction (LAC117) from the dried leaves of Artemisia capillaris and identified its anticancer activity and mechanism of action against hepatocellular carcinoma (HCC). METHODS: Anti-proliferative effect of LAC117 was evaluated by MTT assay and BrdU assay. The apoptotic effect of LAC117 on the expression of cleaved PARP and cleaved caspase-3 was evaluated by Western blot and immunohistochemistry from in vivo mouse xenograft, respectively. RESULTS: We found that LAC117 strongly suppressed the growth and proliferation of human HCC cell lines (HepG2 and Huh7). Induction of apoptosis was evidenced by the increases of cleaved caspase-3 and PARP as well as TUNEL-positive cells. Additionally, the pro-apoptotic effect of LAC117 was observed by a decrease in the expression of the XIAP and an increase in cytochrome c releases via mitochondrial membrane potential. Moreover, it significantly inhibited PI3K/AKT pathway in HCC in vivo and in vitro. LAC117 suppressed tumor growth in an ex vivo model as well as in vivo mouse xenograft by inducing apoptosis and inhibiting tumor cell proliferation. CONCLUSIONS: The present study highlights that LAC117 could not only efficiently induce apoptosis, but also inhibit the growth of human HCC cells by blocking the PI3K/AKT signaling pathway, suggesting that LAC117 would be a potentially useful drug candidate against HCC.

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 © 2016 John Wiley & Sons, Ltd.

Demand and modality of directed attention modulate "pre-attentive" sensory processes in schizophrenia patients and nonpsychiatric controls.

BACKGROUND: Mismatch negativity (MNN) and P3a are event related potential (ERP) measures of early sensory information processing. These components are usually conceptualized as being "pre-attentive" and therefore immune to changes with variations in attentional functioning. This study aimed to determine whether manipulations of attention influence the amplitudes and latencies of MMN and P3a and, if so, the extent to which these early sensory processes govern concurrent behavioral vigilance performance in schizophrenia patients and normal subjects. METHODS: Schizophrenia patients (SZ; n = 20) and Nonpsychiatric Control Subjects (NCS; n = 20) underwent auditory ERP testing to assess MMN and P3a across 4 EEG recording sessions in which attentional demand (low vs. high) and sensory modality of directed attention (visual vs. auditory) were experimentally varied. RESULTS: Across conditions, SZ patients exhibited deficits in MMN and P3a amplitudes. Significant amplitude and latency modulation were observed in both SZ and NCS but there were no group-by-condition interactions. The amount of MMN amplitude attenuation from low- to high-demand tasks was significantly associated with increased vigilance performance in both SZ and NCS groups (r = -0.67 and r = -0.60). Several other robust associations were also observed among neurophysiologic, clinical and cognitive variables. CONCLUSIONS: Attentional demand and modality of directed attention significantly influence the amplitude and latencies of "pre-attentive" ERP components in both SZ and NCS. Deficits in MMN and P3a were not "normalized" when attention was directed to the auditory stimuli in schizophrenia patients. The adaptive modulation of early sensory information processing appears to govern concurrent attentional task performance. The temporal window reflecting automatic sensory discrimination as indexed as MMN and P3a may serve as a gateway to some higher order cognitive operations necessary for psychosocial functioning.

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.

Research on Isodon species: still going strong.

Isodon species have been much studied for their biologically active ingredients, and Sun and co-workers report the isolation, characterization, and biological activities of twenty three compounds, including three new ones. The new compounds from Isodon coetsa are neolignan, triterpenoid, and diterpenoid types, showing that Isodon species have diverse types of compounds, in addition to the much-explored kaurane type diterpenoids. They determined the chemical structures based on extensive spectroscopic analyses and comparison with related compounds. Their report is expected to be yet another stepping stone for more exciting compounds from Isodon species.

Differentiation of antlers from deer on different feeds using an NMR-based metabolomics approach.

Deer antler has been widely used as a dietary supplement for hundreds of years in Asian countries. The chemical composition of deer antlers strongly depends on the growth conditions of the deer, especially the feeds, but the effects of different feeds on deer antlers have not been studied. To expand our knowledge of the chemical constituents of deer antler and establish an efficient way of differentiating antlers obtained with different feeds, we applied an NMR-based metabolomics approach and OPLS-DA multivariate analysis. We show that the antlers from one species on two different feeds, made from grass or mulberry trees, can be reliably differentiated by our metabolomics approach. We identified chemical constituents of the deer antlers and the marker compounds that contribute to the difference between the feed groups. We also rigorously validated our differentiation approach by showing that it can correctly classify blind samples into their respective feed groups. Our approach is expected to help design feeds to produce antlers with more defined constituents, especially those with higher bioactivities.

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.