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Treatment options for Bowen’s disease (BD) include surgical excision, cryotherapy, curettage with cautery, topical 5-fluorouracil or imiquimod, and photodynamic therapy. However, it is not clear which treatment is the most effective due to lack of studies. We reviewed the electronic medical records of 158 patients who were diagnosed with BD and treated at Seoul St. Mary’s Hospital from January 2011 to December 2020. Treatment modalities were surgical excision, cryotherapy, photodynamic therapy, and imiquimod. A total of 121 patients was enrolled in this study. The average treatment period was longest for cryotherapy, followed by imiquimod, PDT, and excision (119.53, 87.75, 68.50, and 1 day, respectively). The therapeutic efficacy was highest in the surgical excision group (100%) and lowest in the PDT group (62.5%). The recurrence rate was highest in the imiquimod group (33.33%). Surprisingly, only in patients treated with cryotherapy, satellite lesions developed in 9.09% of them during follow-up. Surgical excision exhibited the highest clearance rate and the lowest recurrence rate, and its treatment period was the shortest, confirming that it remains the gold standard. In contrast, since cryotherapy demonstrated a relatively high recurrence rate including development of satellite lesions, careful monitoring is required when performing cryotherapy for treatment of BD.

Background/Aim: Pyruvate kinase M2 (PKM2) functions as an important rate-limiting enzyme in aerobic glycolysis and is involved in tumor initiation and progression. However, there are few studies on the correlation between PKM2 expression and its role in glioma. Materials and Methods: PKM2 expression was immunohistochemically examined in human brain tumor samples. Furthermore, we studied the effects of two PKM2 inhibitors (shikonin and compound 3K) on the U87MG glioma cell line. Results: PKM2 was overexpressed in most glioma tissues when compared to controls. Interestingly, glioma-adjacent tissues from showed slight PKM2 overexpression. This suggests that PKM2 overexpression maybe an important trigger factor for glioma tumorigenesis. We found that the PKM2 inhibitor shikonin was effective against U87MG cells at a relatively low dose and was largely dependent on low cellular density compared to the effects of the anticancer drug vincristine. Shikonin highly increased late-apoptosis of U87MG cells. We also demonstrated that autophagy was involved in the increase in late-apoptosis levels caused by shikonin. Although vincristine treatment led to a high level of G(2)-phase arrest in U87MG cells, shikonin did not increase G(2) arrest. Co-treatment with two PKM2 inhibitors, shikonin and compound 3K, increased the inhibitory effects. Conclusion: Combination therapy with PKM2 inhibitors together might be more effective than combination therapy with anticancer drugs. Our findings encourage the application of PKM2-targeting in gliomas, and lay the foundation for the development of PKM2 inhibitors as promising antitumor agents for glioma.

Background Metabolic syndrome (MetS) is associated with psoriasis, but it remains unclear whether the risk of psoriasis remains in patients whose MetS diagnosis changes. Objectives To assess the associations between psoriasis risk and changes in MetS components. Methods We obtained data from the National Health Insurance Service of Korea and divided the participants into four groups: individuals without MetS (control); individuals with MetS in 2009 but without it in 2012 (pre-MetS); individuals without MetS in 2009, but with newly diagnosed MetS in 2012 (post-MetS); and individuals with MetS during the 2009–2012 period (continuous-MetS). We calculated the risk of psoriasis for each group. Results Psoriasis risks were similar in the control and pre-MetS groups, but were significantly higher in the post-MetS group (hazard ratio [HR], 1.08495%; 95% confidence interval [CI], 1.045–1.124) and in the continuous-MetS group (HR, 1.106; 95% CI, 1.068–1.145) than in the control group. Among MetS components, waist circumference showed the strongest association with psoriasis, followed by high-density lipoprotein and triglyceride levels. Conclusion Psoriasis risk was higher in patients with sustained or newly developed MetS than in those who did not have MetS (regardless of prior MetS status).

Ginseng roots are an important herbal resource worldwide, and the adulteration of ginseng with age is recognized as a serious problem. It is therefore crucial to develop objective criteria or standard protocols for differentiating ginseng root samples according to their cultivation age. The reported study used GC/MS combined with multivariate statistical analysis with variable selection to obtain metabolic profiling and an optimal partial least squares-discriminant analysis (PLS-DA) model for the differentiation of ginseng according to cultivation age. Relative levels of various metabolites, such as amino acids, alcohols, fatty acids, organic acids, and sugars, were measured for various ginseng cultivation ages. Increasing cultivation age resulted in the production of higher levels of panaxynol and panaxydol, which are active polyacetylene compounds in ginseng. In addition, optimized PLS-DA models for the prediction of ginseng age were obtained by selecting variables based on a variable importance in the projection cut-off value of 1.3. Proline, glucaric acid, mannose, gluconic acid, glucuronic acid, myoinositol, panaxydol, and panaxynol are suggested as key and relevant compounds with which to differentiate the age of ginseng samples. The findings of this study suggest that GC/MS-based metabolic profiling can be used to differentiate ginseng samples according to cultivation age.

Metabolic profiling of Lemna minor whole plants cultivated in proline and sucrose at various concentrations was performed using gas chromatography–mass spectrometry coupled with multivariate statistical analysis. In total, 46 compounds including alkaloids, amino acids, fatty acids, organic acids, phenolics, phytosterols, purines, and sugars were assigned, and the relative levels of these metabolites were compared in the L. minor whole plant samples. Free-radical scavenging and tyrosinase inhibitory activities were also investigated in L. minor whole plants cultivated in proline and sucrose at various concentrations. The whole plants cultivated in 3% sucrose and 0.5 mM proline for 42 days exhibited the highest antioxidative and tyrosinase inhibitory activities, and biomass accumulation. Total phenolic content and cinnamic acid content were also highest under those conditions, which might have contributed to the free-radical scavenging and tyrosinase inhibitory activities. There were strong correlations between free-radical scavenging activity and total phenolic content, and between tyrosinase inhibition activity and cinnamic acid content in L. minor whole plants cultivated under various conditions.

The quantitative performance of a simple home-built preparative gas chromatography (prep-GC) arrangement was tested, incorporating a micro-fluidic Deans switch, with collection of the target compound in a deactivated uncoated capillary tube. Repeat injections of a standard solution and peppermint sample were made into the prep-GC instrument. Individual compounds were eluted from the trapping capillary, and made up to constant volume. Chloronaphthalene internal standard was added in some cases. Recovered samples were quantitatively assayed by using GC-MS. Calibration linearity of GC-MS for menthol standard area response against number of injections (2-20 repeat injections) was excellent, giving R(2) of 0.996. For peppermint, menthol correlation over 2-20 repeated injections was 0.998 for menthol area ratio (versus IS) data. Menthone calibration for peppermint gave an R(2) of 0.972. (1) H NMR spectroscopy was conducted on both menthol and menthone. Good correspondence with reference spectra was obtained. About 80 μg of isolated menthol and menthone solute was collected over a sequence of 80 repeat injections from the peppermint sample, as assayed by 600 MHz (1) H NMR analysis (∼100% recovery for menthol from peppermint). A procedure is proposed for prediction of number of injections required to acquire sufficient material for NMR detection.

Levansucrase from Microbacterium laevaniformans ATCC 15953 produced in a 3% sucrose medium was purified to homogeneity from cell-free extracts by ammonium sulfate precipitation, DEAE-Sepharose Fast Flow and Sephacryl S-100 HR chromatographies. The molecular mass of the purified enzyme was 64 kDa as measured by SDS–PAGE. The optimum pH and temperature for the levan formation were 6.0 and 30 °C, respectively. The levan-forming activity was strongly inhibited by CuSO4 and HgCl2, and moderately inhibited by ZnSO4. The enzyme synthesized a variety of fructosyl oligosaccharides from various saccharides as fructosyl acceptors. Disaccharides were more favorable fructosyl acceptors than monosaccharides. The structure of the transfer product when melibiose was used as an acceptor was determined by enzyme hydrolysis and 13 C NMR spectroscopy. The chemical structure of the resulting fructosyl melibiose was identified as O-α- d -galactopyranosyl-(1→6)-α- d -glucopyranosyl-(1→2)-β- d -fructofranoside. This result suggests that levansucrase from M. laevaniformans specifically transferred the fructose moiety of sucrose to the C1OH position of the glucose residue of melibiose.

Guava leaves were classified and the free radical scavenging activity (FRSA) evaluated according to different harvest times by using the (1)H-NMR-based metabolomic technique. A principal component analysis (PCA) of (1)H-NMR data from the guava leaves provided clear clusters according to the harvesting time. A partial least squares (PLS) analysis indicated a correlation between the metabolic profile and FRSA. FRSA levels of the guava leaves harvested during May and August were high, and those leaves contained higher amounts of 3-hydroxybutyric acid, acetic acid, glutamic acid, asparagine, citric acid, malonic acid, trans-aconitic acid, ascorbic acid, maleic acid, cis-aconitic acid, epicatechin, protocatechuic acid, and xanthine than the leaves harvested during October and December. Epicatechin and protocatechuic acid among those compounds seem to have enhanced FRSA of the guava leaf samples harvested in May and August. A PLS regression model was established to predict guava leaf FRSA at different harvesting times by using a (1)H-NMR data set. The predictability of the PLS model was then tested by internal and external validation. The results of this study indicate that (1)H-NMR-based metabolomic data could usefully characterize guava leaves according to their time of harvesting.