Intergenerational communication and aging is a thriving interdisciplinary, methodologically diverse field having significant implications for understanding the aging process. This opening article to the special issue provides a brief overview of this research domain, with particular attention to theoretical practices within it. Communication accommodation theory (CAT) is introduced given it has provided a foundation for other well-cited models of communication and aging. In so doing, a couple of the CAT principles are elaborated, based on recent work on age meta-stereotyping and intergroup felt understanding. CAT is also a component of the influential "communication ecology model of successful aging" and, after exploring some of its tenets, its visually schematic representation is elaborated as well as connections speculated regarding its relationship with the communicative lives of SuperAgers. Thereafter, highlights emerging from the articles in this special issue that follow are drawn out.
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Employing foreign caregivers: A qualitative study of the perspectives of older stroke survivors.
PLoS One
January 2025
Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei, Taiwan.
Background: Global populations are aging, and the numbers of stroke survivors is increasing. Consequently, the need for caregiver support has increased. Because of this and demographic and socioeconomic changes, foreign caregivers are increasingly in demand in many developed countries.
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Alzheimers Dement
December 2024
Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA.
Background: Two-thirds of Alzheimer's Disease (AD) cases are women, and our team has identified molecular factors that relate to disease in a sex-specific manner. Here, we leverage single-cell transcriptomics from dorsolateral prefrontal cortex (N = 424) from the Religious Orders Study and Memory and Aging Project (ROS/MAP; AD Knowledge Portal syn2580853) to characterize sex-specific contributors at cellular resolution.
Method: Single-nucleic RNAseq data was generated and processed as previously described.
Basic Science and Pathogenesis.
Alzheimers Dement
December 2024
Penn State University College of Medicine, Hershey, PA, USA.
Background: AD prevention and early interventions require tools for evaluation of people during aging for diagnosis and prognosis of AD conversion. Since AD is a complicated continuum of neurodegenerative processes, developing of such tools have been difficult because it needs longitudinal and multimodal data which are often complicated and incomplete. To address this challenge, we are developing AI4AD framework using ADNI data.
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Alzheimers Dement
December 2024
Neuroscience Graduate Program, Weill Cornell Medicine, New York, NY, USA.
Background: Mitochondrial reactive oxygen species (mROS), such as superoxide and hydrogen peroxide (HO), are implicated in aging-associated neurological disorders, including Alzheimer's Disease and frontotemporal dementia. Mitochondrial complex III of the respiratory chain has the highest capacity for mROS production and generates mROS toward the cytosol, poising it to regulate intracellular signaling and disease mechanisms. However, the exact triggers of complex III-derived ROS (CIII-ROS), its downstream molecular targets, and its functional roles in dementia-related pathogenesis remain unclear.
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Alzheimers Dement
December 2024
Institute for Biomedical Informatics, Philadelphia, PA, USA.
Background: NIAGADS is a national genomics data repository that facilitates access of genotypic and sequencing data to qualified investigators for the study of the genetics of Alzheimer's disease (AD) and related neurological diseases. Collaborations with large consortia and centers such as the Alzheimer's Disease Genetics Consortium (ADGC), Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, the Alzheimer's Disease Sequencing Project (ADSP), and the Genome Center for Alzheimer's Disease (GCAD) allow NIAGADS to lead the effort in managing large AD datasets that can be easily accessed and fully utilized by the research community.
Method: NIAGADS is supported by the National Institute on Aging (NIA) under a cooperative agreement.
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