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Leaf senescence is a developmental program regulated by both endogenous and environmental cues. Abiotic stresses such as nutrient deprivation can induce premature leaf senescence, which profoundly impacts plant growth and crop yield. However, the molecular mechanisms underlying stress-induced senescence are not fully understood. In this work, employing a carbon deprivation (C-deprivation)-induced senescence assay in Arabidopsis seedlings, we identified PLEIOTROPIC REGULATORY LOCUS 1 (PRL1), a component of the NineTeen Complex, as a negative regulator of C-deprivation-induced senescence. Furthermore, we demonstrated that PRL1 directly interacts with the RPA2A subunit of the single-stranded DNA-binding Replication Protein A (RPA) complex. Consistently, the loss of RPA2A leads to premature senescence, while increased expression of RPA2A inhibits senescence. Moreover, overexpression of RPA2A reverses the accelerated senescence in prl1 mutants, and the interaction with PRL1 stabilizes RPA2A under C-deprivation. In summary, our findings reveal the involvement of the PRL1-RPA2A functional module in C-deprivation-induced plant senescence.
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http://dx.doi.org/10.1111/nph.20082 | DOI Listing |
JAMA Psychiatry
September 2025
Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville.
Importance: Behavioral variant frontotemporal dementia (bvFTD), the most common subtype of FTD, is a leading form of early-onset dementia worldwide. Accurate and timely diagnosis of bvFTD is frequently delayed due to symptoms overlapping with common psychiatric disorders, and interest has increased in identifying biomarkers that may aid in differentiating bvFTD from psychiatric disorders.
Objective: To summarize and critically review studies examining whether neurofilament light chain (NfL) in cerebrospinal fluid (CSF) or blood is a viable aid in the differential diagnosis of bvFTD vs psychiatric disorders.
Int J Surg
September 2025
Department of Gynecology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Background: Ovarian cancer remains the most lethal gynecological cancer, with fewer than 50% of patients surviving more than five years after diagnosis. This study aimed to analyze the global epidemiological trends of ovarian cancer from 1990 to 2021 and also project its prevalence to 2050, providing insights into these evolving patterns and helping health policymakers use healthcare resources more effectively.
Methods: This study comprehensively analyzes the original data related to ovarian cancer from the GBD 2021 database, employing a variety of methods including descriptive analysis, correlation analysis, age-period-cohort (APC) analysis, decomposition analysis, predictive analysis, frontier analysis, and health inequality analysis.
Am J Cardiovasc Drugs
September 2025
Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Infect Dis Ther
September 2025
Department of Nursing, Affiliated Hospital of Zunyi Medical University, Zunyi, 563000, China.
Introduction: Cognitive frailty (CF), which typically precedes dementia and functional decline, serves as a more robust predictor of adverse health outcomes compared to physical frailty alone, representing a critical challenge in promoting healthy aging among older people living with HIV (PLWH) aged ≥ 50 years. This study aimed to investigate the prevalence of cognitive frailty and identify its associated factors among PLWH aged ≥ 50 years.
Methods: A convenience sample of 344 PLWH ≥ 50 years was recruited from a tertiary Grade A hospital in Zunyi, China.
Drugs Aging
September 2025
Dalla Lana School of Public Health, University of Toronto, V1 06, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.
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