Flavonol glycosides in tea leaves have been quantified as aglycones, quercetin, myricetin, and kaempferol. Occurrence of the said compounds was reported in fruits and vegetable for a long time in association with the antioxidant potential. However, data on flavonols in tea were scanty and, hence, this study aims to envisage the flavonol content in a representative pool of accessions present in the Sri Lankan tea germplasm. Significant amounts of myricetin, quercetin, and kaempferol have been detected in the beverage type tea accessions of the Sri Lankan tea germplasm. This study also revealed that tea is a good source of flavonol glycosides. The Camellia sinensis var. sinensis showed higher content of myricetin, quercetin, and total flavonols than var. assamica and ssp. lasiocalyx. Therefore flavonols and their glycosides can potentially be used in chemotaxonomic studies of tea germplasm. The nonbeverage type cultivars, especially Camellia rosaflora and Camellia japonica Red along with the exotic accessions resembling China type, could be useful in future germplasm studies because they are rich sources of flavonols, namely, quercetin and kaempferol, which are potent antioxidants. The flavonol profiles can be effectively used in choosing parents in tea breeding programmes to generate progenies with a wide range of flavonol glycosides.
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http://dx.doi.org/10.1155/2016/6057434 | DOI Listing |
Homocystinuria due to cystathionine beta-synthase (CBS) deficiency is a rare metabolic disorder inherited as an autosomal recessive trait. Spectrum of genetic variants in gene and their correlation with the phenotypes of homocystinuria in Sri Lankan patients have not been reported to date. The objective of this study was to identify the genotypes and genotype-phenotype correlations in a cohort of Sri Lankan patients with homocystinuria due to CBS deficiency.
View Article and Find Full Text PDFAntiinflamm Antiallergy Agents Med Chem
January 2025
Institute for Combinatorial Advanced Research and Education, General Sir John Kotelawala Defence University, Ratmalana, Sri Lanka.
The potential of underutilized plant species to improve food security, health, eco-nomic output, and the environment has not been fully realized. Sri Lanka an island on the Indian Ocean is home to numerous plant species with significant medicinal potential, in-cluding many underutilized plants that could help meet the growing demand for food, en-ergy, medicines, and industrial resources. Globally, there are over a thousand known and unknown phytochemicals derived from plants.
View Article and Find Full Text PDFFront Psychol
January 2025
Cardiff University, Cardiff, United Kingdom.
Massive changes in many aspects related to social groups of different socioeconomic backgrounds were caused by the COVID-19 pandemic and as a result, the overall state of mental health was severely affected globally. This study examined how the pandemic affected Sri Lankan citizens representing a range of socioeconomic backgrounds in terms of their mental health. The data used in this research was gathered from 3,020 households using a nationwide face-to-face survey, from which a processed dataset of 921 responses was considered for the final analysis.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
January 2025
Centre for Healthcare Transformation, School of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, 4059, Australia.
Background: In Sri Lanka, there is some evidence that the likelihood of breastfeeding initiation varies by exposure to Baby-Friendly Hospital Initiative [BFHI]-compliant care and mode of birth. Globally, there is some evidence that exposure to mother-baby skin-to-skin contact (BFHI Step 4) is lower in caesarean section births. Therefore, we aimed to determine how breastfeeding initiation varies by mode of birth in Sri Lanka, and the extent to which women's exposure to BFHI practices explains any associations found.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Medicine, University of Kelaniya Faculty of Medicine, Ragama, Sri Lanka.
Introduction: Models derived from non-Sri Lankan cohorts are used for cardiovascular (CV) risk stratification of Sri Lankans.
Objective: To develop a CV risk prediction model using machine learning (ML) based on data from a Sri Lankan cohort followed up for 10 years, and to compare the predictions with WHO risk charts.
Design: Cohort study.
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