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The efficacy of longevity interventions in Caenorhabditis elegans is determined by the early life activity of RNA splicing factors

2 months ago
Geroscience aims to target the aging process to extend healthspan. However, even isogenic individuals show heterogeneity in natural aging rate and responsiveness to pro-longevity interventions, limiting translational potential. Using RNAseq analysis of young, isogenic, subpopulations of Caenorhabditis elegans selected solely on the basis of the splicing pattern of an in vivo minigene reporter that is predictive of future life expectancy, we find a strong correlation in young animals between...
Sneha Dutta

Variations in body condition score, inflammatory and metabolic biomarkers predict cognitive changes in clinically healthy senior cats

2 months ago
CONCLUSION AND RELEVANCE: Findings suggest that changes in physiological parameters describing patterns of chronic inflammation are associated with measurable cognitive changes in aging cats, in the absence of overt clinical disease, which is consistent with the concept of inflammaging. Routine monitoring of standard bloodwork and BCS may offer an accessible means of tracking chronic subclinical inflammation and predicting cognitive aging in senior feline patients. These results highlight the...
Holly Memoli

Magnetic resonance imaging analysis for Alzheimer's disease diagnosis using artificial intelligence: Methods, challenges, and opportunities

2 months ago
Alzheimer's disease(AD) is the most common cause of dementia and affects millions of people worldwide. The early and accurate diagnosis of AD is crucial for timely intervention and disease management. Magnetic resonance imaging (MRI) is a widely used noninvasive technique for assessing brain structure and function in patients with AD. However, conventional MRI analysis methods are often subjective, time-consuming, and depend on expert knowledge. Artificial intelligence (AI), particularly deep...
Qiye Shi

A unified mechanism for mitochondrial damage sensing in PINK1-Parkin-mediated mitophagy

2 months ago
Damaged mitochondria can be cleared from the cell by mitophagy, using a pathway formed by the recessive Parkinson's disease genes PINK1 and Parkin. Whether the pathway senses diverse forms of mitochondrial damage via a common mechanism, however, remains uncertain. Here, using a novel Parkin reporter in genome-wide screens, we identified that diverse forms of mitochondrial damage converge on loss of mitochondrial membrane potential (MMP) to activate PINK1. Loss of MMP, but not the presequence...
Julia A Thayer

Cortical PV interneurons regulate loudness perception and sustainably reverse loudness hypersensitivity

2 months ago
Parvalbumin-expressing inhibitory neurons (PVNs) stabilize cortical network activity, generate gamma rhythms, and regulate experience-dependent plasticity. We found that PVNs act like a volume knob in the mouse auditory cortex (ACtx), bi-directionally adjusting neural and perceptual sensitivity to sound level over a 20 dB range. PVN-based gain adjustments were "sticky," such that a single bout of PVN activation at 40 Hz-but not at 1 or 70 Hz-sustainably dampened ACtx sound responsiveness,...
Kameron K Clayton

Body-wide multi-omic counteraction of aging with GLP-1R agonism

2 months ago
Identifying practical ways to counteract aging and associated degenerative disorders is urgently needed. We performed deep molecular profiling and functional assessments in aging male mice to show that glucagon-like peptide-1 receptor agonist (GLP-1RA) treatment broadly counteracts age-related changes. In mice treated with a GLP-1RA from 11 months for 30 weeks, we observed strong body-wide multi-omic age-counteracting effects and improved selected physical functions. Importantly, the effects...
Junzhe Huang

Artificial intelligence for fall detection in older adults: A comprehensive survey of machine learning, deep learning approaches, and future directions

2 months ago
Fall detection systems are crucial for ensuring the safety of older adults, given the potential for severe injuries resulting from falls. However, developing accurate and reliable detection methods faces challenges due to the rarity of fall events and limited training data. This review provides an in-depth examination of recent progress in fall detection technologies for older adults, with particular attention to addressing the scarcity of data. This review is novel in that it integrates...
Akshat Gattani