Objectives: An inclusion complex of biochanin A (BCA) with (2-hydroxypropyl)-β-cyclodextrin (HP-β-CD) was prepared in the ethanol solution to improve its water solubility.
Methods: Using the FTIR, H-NMR, XRD, DSC and SEM methods, the structural characterization of the prepared complex was analysed.
Key Findings: The phase-solubility study has shown that the solubility of BCA was increased twofold in 42% (v/v) ethanol solution after complexation with HP-β-CD. The complex between BCA and HP-β-CD was prepared in the molar ratio of 1 : 1. The antibacterial activity of the inclusion complex was investigated against the various bacteria, fungus and yeast using the microdilution method. The minimal inhibitory concentration values for the analysed strain of bacteria were in the range of 0.84-1.69 mg/cm , whereby the prepared inclusion complex exhibited less effect on the reduction of the number of Escherichia coli and Klebsiella pneumoniae species compared to pure BCA. The inclusion complex of BCA was significantly more active against Candida albicans than pure BCA. Biochanin A and its inclusion complex has not expressed the activity against Aspergillus niger.
Conclusions: Based on the obtained results, it can be concluded that the antimicrobial activity of BCA was remained unchanged after complexation.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1111/jphp.13003 | DOI Listing |
Microbiome
January 2025
Key Laboratory of Urban Environment and Health, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Background: Huge phages (genome size ≥ 200 kb) have been detected in diverse habitats worldwide, infecting a variety of prokaryotes. However, their evolution and adaptation strategy in soils remain poorly understood due to the scarcity of soil-derived genomes.
Results: Here, we conduct a size-fractioned (< 0.
BMC Med
January 2025
Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
Background: The NHS App launched in 2019 as the 'digital front door' to the National Health Service in England with core features including General Practitioner (GP) appointment booking, repeat prescriptions, patient access to records and, later on, COVID-19 vaccination certification. Similar patient portals have been adopted in different formats and with variable levels of success. In this longitudinal study (2021-2023) we examined how the NHS App became implemented in the pandemic context and beyond.
View Article and Find Full Text PDFBackground: Non-malarial febrile illnesses (NMFI) pose significant challenges in HIV-infected children, often leading to severe complications and increased morbidity. While traditional diagnostic approaches focus on specific pathogens, shotgun metagenomic sequencing offers a comprehensive tool to explore the microbial landscape underlying NMFI in this vulnerable population ensuring effective management.
Methods: In this study, we employed shotgun metagenomics to analyse stool samples from HIV-infected children at the Baylor Children's Clinic Uganda presenting with non-malarial febrile illness.
Nat Cancer
January 2025
Department of Molecular, Cell, and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Tumors lacking the BRCA1 and BRCA2 (BRCA) hereditary breast cancer genes display heightened sensitivity to anti-cancer treatments, such as inhibitors of poly (ADP-ribose) polymerase 1 (PARP1). However, when resistance develops, treatments are lacking. Using CRISPR technology, we discovered that enhancing homologous recombination through increased DNA end resection in BRCA1-deficient cells by loss of the 53BP1-Shieldin complex-which is associated with resistance to PARP inhibitors-also heightens sensitivity to DNA nicks.
View Article and Find Full Text PDFInj Prev
January 2025
Department of Orthopaedic Surgery, Duke University, Durham, North Carolina, USA
Introduction: Return-to-acute-care metrics, such as early emergency department (ED) visits, are key indicators of healthcare quality, with ED returns following surgery often considered avoidable and costly events. Proactively identifying patients at high risk of ED return can support quality improvement efforts, allowing interventions to target vulnerable patients. With its predictive capabilities, machine learning (ML) has shown potential in forecasting various clinical outcomes but remains underutilised in orthopaedic trauma.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!