Despite being the primary source of energy in the biosphere, photosynthesis is a process that inevitably produces reactive oxygen species. Chloroplasts are a major source of hydrogen peroxide production in plant cells; therefore, different systems for peroxide reduction, such as ascorbate peroxidase and peroxiredoxins (Prxs), are found in this organelle. Most of the reducing power required for hydrogen peroxide reduction by these systems is provided by Fd reduced by the photosynthetic electron transport chain; hence, the function of these systems is highly dependent on light. Recently, it was described a novel plastidial enzyme, stated NTRC, formed by a thioredoxin reductase (NTR) domain at the N-terminus and a thioredoxin (Trx) domain at the C-terminus. NTRC is able to conjugate both NTR and Trx activities to efficiently reduce 2-Cys Prx using NADPH as a source of reducing power. Based on these results, it was proposed that NTRC is a new pathway to transfer reducing power to the chloroplast detoxification system, allowing the use of NADPH, besides reduced Fd, for such function. In this article, the most important features of NTRC are summarized and the implications of this novel activity in the context of chloroplast protection against oxidative damage are discussed.
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http://dx.doi.org/10.1111/j.1399-3054.2008.01088.x | DOI Listing |
BMC Cancer
January 2025
Breast Surgery Department, Hangzhou Institute of Medicine, Zhejiang Cancer Hospital, Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Adjuvant endocrine therapy (AET) is essential for improving survival and reducing mortality and recurrence rates in breast cancer (BrCa) patients. However, the adherence to AET among BrCa patients is poor, and there is no scale to measure adherence to AET or the reasons for non-adherence among BrCa patients in mainland China. The aim of this study was to assess the psychometric properties of the simple Chinese version of the Medication Adherence Reasons (MAR) scale in BrCa patients undergoing AET.
View Article and Find Full Text PDFSci Rep
January 2025
School of Mathematics and Computer, Wuhan Polytechnic University, Wuhan, 430048, China.
The rapid changes in the global environment have led to an unprecedented decline in biodiversity, with over 28% of species facing extinction. This includes snakes, which are key to ecological balance. Detecting snakes is challenging due to their camouflage and elusive nature, causing data loss and feature extraction difficulties in ecological monitoring.
View Article and Find Full Text PDFNeurobiol Dis
January 2025
Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, , Heinrich Heine University, 40225 Düsseldorf, Germany. Electronic address:
Corticobasal syndrome (CBS) is characterized not only by parkinsonism but also by higher-order cortical dysfunctions, such as apraxia. However, the electrophysiological mechanisms underlying these symptoms remain poorly understood. To explore the pathophysiology of CBS, we recorded magnetoencephalographic (MEG) data from 17 CBS patients and 20 age-matched controls during an observe-to-imitate task.
View Article and Find Full Text PDFDiabetes Obes Metab
January 2025
Stanford University, Stanford, California, USA.
Objective: Conduct a preliminary randomized trial that compared a 6-week type 2 diabetes (T2D) prevention programme to an educational video control for adults with pre-diabetes.
Methods: Adults (N = 62) with pre-diabetes were randomized to the group-delivered Project Health T2D or an educational video control, completing measures at pre-test, post-test and 3-month follow-up.
Results: Participants randomized to the intervention versus control condition showed significantly greater reductions in body fat (d = 0.
Introduction: Infection control in intensive care units (ICUs) is crucial due to the high risk of healthcare-associated infections (HAIs), which can increase patient morbidity, mortality, and costs. Effective measures such as hand hygiene, use of personal protective equipment (PPE), patient isolation, and environmental cleaning are vital to minimize these risks. The integration of artificial intelligence (AI) offers new opportunities to enhance infection control, from predicting outbreaks to optimizing antimicrobial use, ultimately improving patient safety and care in ICUs.
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