d-galactose (DG)-induced rodent aging model has widely been used for the study of age-related dysfunctions of various organs, including gonads and uterus. Antidiabetic drug metformin has gained an attention as antiaging drug in model organism and human but its effect on uterus has not been studied in relation to induced aging. Therefore, we investigated the effect of metformin on uterus of DG-induced aging mice model. Mice were randomly divided into three groups, that is, control (CN), DG-induced aging model and aging model treated with metformin. Histomorphometric results showed significantly decreased number of uterine glands, endometrial thickness, and increased luminal epithelium height in aging model. Furthermore, metformin resumed the number of uterine glands, endometrial thickness, and luminal epithelium height up to CN group. Metformin has also significantly decreased the age-associated oxidative stress (malondialdehyde and lipid hydroperoxide). Superoxide dismutase was significantly decreased in both treated groups compared to the CN group. However, catalase and glutathione peroxidase enzymes were significantly increased by metformin compared to the aging model. Immunostaining of active caspase3 and BAX were intense in the endometrium of aging model compare to CN- and metformin-treated groups. Localization of B-cell lymphoma 2 (Bcl2) showed intense immunostaining in the uterus of CN- and metformin-treated groups, with mild immunostaining in aging model. Our observations suggested that metformin treatment might be helpful for management of age-associated uterine dysfunctions. Moreover, it may be concluded that metformin might ameliorate uterine dysfunctions by reducing oxidative stress, suppressing apoptosis, and increasing the survival/antiapoptotic protein Bcl2.
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http://dx.doi.org/10.1002/jez.2592 | DOI Listing |
Biogerontology
January 2025
Clinic for Heart Surgery (UMH), Martin-Luther-University Halle-Wittenberg, Ernst-Grube-Straße 40, 06120, Halle (Saale), Germany.
If a shortened lifespan is evolutionarily advantageous, it becomes more likely that nature will strive to change it accordingly, affecting how we understand aging. Premature mortality because of aging would seem detrimental to the individual, but under what circumstances can it be of value? Based on a relative incremental increase in fitness, simulations were performed to reveal the benefit of death. This modification allows for continuous evolution in the model and establishes an optimal lifespan even under challenging conditions.
View Article and Find Full Text PDFGeroscience
January 2025
Buck Institute for Research On Aging, Novato, CA, 94945, USA.
Cells are subjected to dynamic mechanical environments which impart forces and induce cellular responses. In age-related conditions like pulmonary fibrosis, there is both an increase in tissue stiffness and an accumulation of senescent cells. While senescent cells produce a senescence-associated secretory phenotype (SASP), the impact of physical stimuli on both cellular senescence and the SASP is not well understood.
View Article and Find Full Text PDFBrain Struct Funct
January 2025
Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, 100124, China.
The brain undergoes atrophy and cognitive decline with advancing age. The utilization of brain age prediction represents a pioneering methodology in the examination of brain aging. This study aims to develop a deep learning model with high predictive accuracy and interpretability for brain age prediction tasks.
View Article and Find Full Text PDFJ Aging Health
January 2025
School of Public Policy & Maryland Population Research Center, University of Maryland, College Park, MD, USA.
Objectives: We determined if living in historically redlined neighborhoods was associated with level and change in cognitive functioning and if this association differed for Black and White older adults.
Methods: We linked the Health and Retirement Study 1998-2018 data to redlining scores from the Historic Redlining Indicator data. Our sample included adults aged 50 years and older (24,230 respondents, 129,618 person-period observations).
Aust N Z J Psychiatry
January 2025
Neuropsychiatry Centre, The Royal Melbourne Hospital, Parkville, VIC, Australia.
Introduction: Young-onset neurocognitive symptoms result from a heterogeneous group of neurological and psychiatric disorders which present a diagnostic challenge. To identify such factors, we analysed the Biomarkers in Younger-Onset Neurocognitive Disorders cohort, a study of individuals <65 years old presenting with neurocognitive symptoms for a diagnosis and who have undergone cognitive and biomarker analyses.
Methods: Sixty-five participants (median age at assessment of 56 years, 45% female) were recruited during their index presentation to the Royal Melbourne Hospital Neuropsychiatry Centre, a tertiary specialist service in Melbourne, Australia, and categorized as either early-onset Alzheimer's disease ( = 18), non-Alzheimer's disease neurodegeneration ( = 23) or primary psychiatric disorders ( = 24).
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