METHODS: In vitro antioxidant activity was investigated using 2,2'-diphenyl-1-picrylhydrazyl (DPPH), fluorescence recovery after photobleaching (FRAP), and 2,2-azino-bis-3-ethylbenzothiazoline-6-sulfonic acid (ABTS) methods. The antidiabetic and dermatoprotective effects were studied using enzyme inhibitory activities.
RESULTS: Antioxidant tests showed that PLEO has the best activity (ranging from 29.64 ± 3.04 to 73.80 ± 3.96 µg/mL) compared to its main selected molecules (ranging from 74 ± 3.72 to 107.23 ± 5.03 µg/mL). The α-glucosidase and α-amylase assays demonstrated that the elements tested have a promising antidiabetic potential with IC50values ranging from 78.03 ± 2.31 to 116.03 ± 7.42 µg/mL and 74.39 ± 3.08 to 112.35 ± 4.92 µg/mL for the α-glucosidase and α-amylase assays, respectively, compared to the standard drug. For the tyrosinase test, we found that the EOs (IC50 = 57.72 ± 2.86 µg/mL) followed by limonene (IC50 = 74.24 ± 2.06 µg/mL) and α-pinene (IC50 = 97.45 ± 5.22 µg/mL) all exhibited greater inhibitory effects than quercetin (IC50 = 246.90 ± 2.54 µg/mL).
CONCLUSIONS: Our results suggest that the biological activities of PLEO, as well as its main compounds, make them promising candidates for the development of new strategies aimed at improving dermatoprotection and treating diseases associated with diabetes mellitus and oxidative stress.
METHODS: Seventeen patients diagnosed with IOPD between 2000 and 2020 were included in this retrospective cohort study. Clinical and biochemical data were collated and analyzed using descriptive statistics. GAA enzyme levels were performed on dried blood spots. Molecular analysis of the GAA gene was performed by polymerase chain reaction and Sanger sequencing. Structural modelling was used to predict the effect of the novel mutations on enzyme structure.
RESULTS: Our cohort had a median age of presentation of 3 months and median age of diagnosis of 6 months. Presenting features were hypertrophic cardiomyopathy (100%), respiratory insufficiency (94%), hypotonia (88%), failure to thrive (82%), feeding difficulties (76%), and hepatomegaly (76%). Fourteen different mutations in the GAA gene were identified, with three novel mutations, c.1552-14_1552-1del, exons 2-3 deletion and exons 6-10 deletion. The most common mutation identified was c.1935C > A p.(D645E), with an allele frequency of 33%. Sixteen patients received ERT at the median age of 7 months. Overall survival was 29%. Mean age of death was 17.5 months. Our longest surviving patient has atypical IOPD and is currently 20 years old.
CONCLUSIONS: This is the first study to analyze the genotype and phenotype of Malaysian IOPD patients, and has identified the c.1935C > A p.(D645E) as the most common mutation. The three novel mutations reported in this study expands the mutation spectrum for IOPD. Our low survival rate underscores the importance of early diagnosis and treatment in achieving better treatment outcomes.
OBJECTIVES: Here, we explored the phytochemical diversity of the seven varieties from Peninsular Malaysia using Nuclear Magnetic Resonance (NMR) and Liquid Chromatography-Mass Spectrometry (LC-MS) analyses and correlated it with the α-glucosidase inhibitory activity.
METHODOLOGY: The Nuclear Overhauser Effect Spectroscopy (NOESY) One-Dimensional (1D)-NMR and LC-MS data were processed, annotated, and correlated with in vitro α-glucosidase inhibitory using multivariate data analysis.
RESULTS: The α-glucosidase results demonstrated that different varieties have varying inhibitory effects, with the highest inhibition rate being F. deltoidea var. trengganuensis and var. kunstleri. Furthermore, diverse habitats and plant ages could also influence the inhibitory rate. The heat map from NMR and LC-MS profiles showed unique patterns according to varying levels of α-glucosidase inhibition rate. The Partial Least Squares (PLS) model constructed from both NMR and LC-MS further confirmed the correlation between the α-glucosidase inhibition rate of F. deltoidea varieties and its metabolite profiles. The Variable Influence on Projection (VIP) and correlation coefficient (p(corr)) values values were used to determine the highly relevant metabolites for explaining the anticipated inhibitory action.
CONCLUSION: NMR and LC-MS annotations allow the identification of flavan-3-ols and proanthocyanidins as the key bioactive factors. Our current results demonstrated the value of multivariate data analysis to predict the quality of herbal materials from both biological and chemical aspects.