The plant-specific phi class of glutathione transferases (GSTFs) are often highly stress-inducible and expressed in a tissue-specific manner, suggestive of them having important protective roles. To date, these functions remain largely unknown, although activities associated with the binding and transport of reactive metabolites have been proposed. Using a sensitive and selective binding screen, we have probed the Arabidopsis thaliana GSTFs for natural product ligands from bacteria and plants. Uniquely, when overexpressed in bacteria, family members GSTF2 and GSTF3 bound a series of heterocyclic compounds, including lumichrome, harmane, norharmane and indole-3-aldehyde. When screened against total metabolite extracts from A. thaliana, GSTF2 also selectively bound the indole-derived phytoalexin camalexin, as well as the flavonol quercetin-3-O-rhamnoside. In each case, isothermal titration calorimetry revealed high-affinity binding (typically Kd<1 μM), which was enhanced in the presence of glutathione and by the other heterocyclic ligands. With GSTF2, these secondary ligand associations resulted in an allosteric enhancement in glutathione-conjugating activity. Together with the known stress responsiveness of GSTF2 and its association with membrane vesicles, these results are suggestive of roles in regulating the binding and transport of defence-related compounds in planta.
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http://dx.doi.org/10.1042/BJ20101884 | DOI Listing |
Cureus
December 2024
Psychiatry, Yale School of Medicine, New Haven, USA.
Introduction Following the COVID-19 pandemic, there was adoption of virtual psychotherapy. There are a number of benefits and drawbacks to telehealth video conferencing that are experienced by both clients and clinicians. The current qualitative study sought to outline the advantages and disadvantages that clients and clinicians have personally experienced in virtual versus in-person therapy in an effort to identify the reasons for which one medium may be preferred over another.
View Article and Find Full Text PDFAdv Ther
January 2025
Dent Neurologic Institute, 3980 Sheridan Dr., Amherst, NY, 14226, USA.
Introduction: Fremanezumab, a monoclonal antibody (mAb) targeting the calcitonin gene-related peptide (CGRP) pathway, and gepants, small molecule CGRP receptor antagonists, are both approved for the treatment of migraine or its symptoms. This study assessed effectiveness, tolerability, and migraine-related healthcare resource utilization (HCRU) after the addition of fremanezumab for preventive migraine treatment in patients using gepants for acute treatment.
Methods: Data were extracted during a retrospective chart review from electronic medical records from the Dent Neurologic Institute.
Infect Drug Resist
December 2024
Department of Biomedical Sciences Laboratory, Wenzhou Medical University Affiliated Dongyang Hospital, Dongyang, Zhejiang, People's Republic of China.
BMC Infect Dis
December 2024
School of Medical Laboratory Sciences, Faculty of Health Sciences, Jimma University, Jimma, Oromia, Ethiopia.
Background: Klebsiella bacterial strains harboring Extended-Spectrum Beta-Lactamase (ESBL) enzymes are the primary culprits behind neonatal sepsis globally. These strains significantly impact clinical outcomes due to their multi-drug resistance patterns in local healthcare settings. In response to this spiraling threat, we studied the prevalence and clinical implications of ESBL-encoding genes in neonates hospitalized with confirmed sepsis.
View Article and Find Full Text PDFStat Med
January 2025
Department of Biostatistics, School of Medicine, Yokohama City University, Yokohama, Japan.
Evaluating classifications is crucial in statistics and machine learning, as it influences decision-making across various fields, such as patient prognosis and therapy in critical conditions. The Matthews correlation coefficient (MCC), also known as the phi coefficient, is recognized as a performance metric with high reliability, offering a balanced measurement even in the presence of class imbalances. Despite its importance, there remains a notable lack of comprehensive research on the statistical inference of MCC.
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