AIMC Topic: Aging

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Construction of an early diagnostic model for pulmonary hypertension based on aging-related signature genes and identification of potential therapeutic targets.

Scientific reports
Pulmonary hypertension (PH) is a progressive cardiopulmonary disorder. It features elevated pulmonary arterial pressure, which leads to right ventricular failure and increased mortality. PH's insidious nature, with no specific clinical symptoms, hind...

The role of gut microbiome in aging-associated diseases: where do we stand now and how technology will transform the future.

Gut microbes
The gut microbiome has emerged as a critical regulator of human aging and healthspan, with age-related dysbiosis increasingly implicated in a broad spectrum of aging-associated diseases. This review synthesizes evidence linking gut microbial alterati...

Prediction and analysis of anti-aging peptides using data augmentation and machine learning algorithms.

BMC biology
BACKGROUND: For most species, Aging is an inevitable biological process that poses significant challenges to global healthcare due to age-related diseases. Recent advances in peptide therapy have highlighted anti-aging peptides (AAPs) as a promising ...

Multi-omics study of molecular and genetic bases of orthostatic hypotension.

Clinical epigenetics
Orthostatic hypotension is a sharp decrease in blood pressure when an individual transitions from a supine to an upright position. OH affects at least 30% of older adults. It is attributed to the dysfunction of the autonomic innervation and decreased...

Association of Brain Age With Physical Disability and Cognitive Impairment in People With Multiple Sclerosis of the Same Age.

Neurology
BACKGROUND AND OBJECTIVES: The brain-predicted age difference (brain-PAD) is a novel marker of neurodegeneration in multiple sclerosis (MS). Brain-PAD has been associated with clinical disability in heterogeneous MS patient cohorts of varying ages an...

Biological age threshold is associated with symptomatic knee osteoarthritis risk in chinese adults: Insights from machine learning analysis of a national cohort.

PloS one
BACKGROUND: Symptomatic knee osteoarthritis (KOA) imposes a substantial global health and economic burden. Although chronological age (CA) is a key risk factor, it poorly reflects interindividual aging heterogeneity. Biological age (BA), which is qua...

Mammo-AGE: deep learning estimation of breast age from mammograms.

Nature communications
Biological age is an important indicator of organ functions and health. Although mammograms are widely used in breast cancer screening, the potential of mammogram-based biological age predictors remains underexplored. Here, we propose a deep learning...

The Central Role of m6A as Epigenetic Regulator in Metabolic Disorders of Therapeutic Potential and Clinical Implications.

Molecular neurobiology
N6-methyladenosine (m6A) is the most common reversible mRNA modification, regulating fundamental cellular processes. It plays a vital role in aging and age-related diseases by influencing gene expression, RNA splicing, and stability. Growing evidence...

Research Status and Trends in Virtual Reality Technology for Older Adults: Bibliometric and Visual Analysis.

JMIR aging
BACKGROUND: Virtual reality (VR) technology is increasingly applied in aging-related research. Although existing bibliometric studies have focused on specific applications, such as older adults' acceptance of VR and its use in cognitive rehabilitatio...

NeuroAgeFusionNet an ensemble deep learning framework integrating CNN, transformers, and GNN for robust brain age estimation using MRI scans.

Scientific reports
Brain age prediction based on anatomical MRI scans, as an essentially new measure in neuroimaging and aging research, provides a crucial marker for the early diagnosis of neurodegenerative diseases, cognitive health appraisal, and biological age pred...