Brain Age Gap Associations with Body Composition and Metabolic Indices in an Asian Cohort: An MRI-Based Study DOI

Han-Jui Lee,

Chen-Yuan Kuo, Yu‐Chung Tsao

и другие.

Archives of Gerontology and Geriatrics, Год журнала: 2025, Номер unknown, С. 105830 - 105830

Опубликована: Март 1, 2025

Язык: Английский

Deep neural networks learn general and clinically relevant representations of the ageing brain DOI Creative Commons
Esten H. Leonardsen, Han Peng, Tobias Kaufmann

и другие.

NeuroImage, Год журнала: 2022, Номер 256, С. 119210 - 119210

Опубликована: Апрель 21, 2022

The discrepancy between chronological age and the apparent of brain based on neuroimaging data - delta has emerged as a reliable marker health. With an increasing wealth data, approaches to tackle heterogeneity in acquisition are vital. To this end, we compiled raw structural magnetic resonance images into one largest most diverse datasets assembled (n=53542), trained convolutional neural networks (CNNs) predict age. We achieved state-of-the-art performance unseen from unknown scanners (n=2553), showed that higher is associated with diabetes, alcohol intake smoking. Using transfer learning, intermediate representations learned by our model complemented partly outperformed predicting common disorders. Our work shows can achieve generalizable biologically plausible predictions using CNNs heterogeneous datasets, them clinical use cases.

Язык: Английский

Процитировано

99

A Role for Advanced Glycation End Products in Molecular Ageing DOI Open Access
Katarzyna Zgutka, Marta Tkacz, Patrycja Tomasiak

и другие.

International Journal of Molecular Sciences, Год журнала: 2023, Номер 24(12), С. 9881 - 9881

Опубликована: Июнь 8, 2023

Ageing is a composite process that involves numerous changes at the cellular, tissue, organ and whole-body levels. These result in decreased functioning of organism development certain conditions, which ultimately lead to an increased risk death. Advanced glycation end products (AGEs) are family compounds with diverse chemical nature. They non-enzymatic reactions between reducing sugars proteins, lipids or nucleic acids synthesised high amounts both physiological pathological conditions. Accumulation these molecules increases level damage tissue/organs structures (immune elements, connective brain, pancreatic beta cells, nephrons, muscles), consequently triggers age-related diseases, such as diabetes mellitus, neurodegeneration, cardiovascular kidney disorders. Irrespective role AGEs initiation progression chronic disorders, reduction their levels would certainly provide health benefits. In this review, we overview areas. Moreover, examples lifestyle interventions, caloric restriction physical activities, may modulate AGE formation accumulation help promote healthy ageing.

Язык: Английский

Процитировано

58

Interplay between aging and other factors of the pathogenesis of age-related macular degeneration DOI Creative Commons
Janusz Błasiak,

Piotr Sobczuk,

Elżbieta Pawłowska

и другие.

Ageing Research Reviews, Год журнала: 2022, Номер 81, С. 101735 - 101735

Опубликована: Сен. 13, 2022

Age-related macular degeneration (AMD) is a complex eye disease with the retina as target tissue and aging per definition most serious risk factor. However, contains over 60 kinds of cells that form different structures, including neuroretina retinal pigment epithelium (RPE) which can age at rates. Other established or putative AMD factors differentially affect RPE differently interplay these structures. The occurrence β-amyloid plaques increased levels cholesterol in retinas suggest may be syndrome accelerated brain aging. Therefore, question about real meaning justified. In this review we present update information on how some aspects pathogenesis, such oxidative stress, amyloid beta formation, circadian rhythm, metabolic cellular senescence. Also, show specific for photoreceptors, microglia well Bruch's membrane choroid. process As an accurate quantification biological important stratification early intervention age-related diseases, determination microglial helpful precise diagnosis treatment largely untreatable disease.

Язык: Английский

Процитировано

42

Causal influences of neuropsychiatric disorders on Alzheimer’s disease DOI Creative Commons
Ancha Baranova, Qian Zhao, Hongbao Cao

и другие.

Translational Psychiatry, Год журнала: 2024, Номер 14(1)

Опубликована: Фев. 23, 2024

Abstract Previous studies have observed a significant comorbidity between Alzheimer’s disease (AD) and some other neuropsychiatric disorders. However, the mechanistic connections disorders AD are not well understood. We conducted Mendelian randomization analysis to appraise potential influences of 18 neurodegenerative on AD. found that four causally associated with increased risk for AD, including bipolar disorder (BD) (OR: 1.09), migraine schizophrenia 1.05), Parkinson’s (PD) 1.07), while attention-deficit/hyperactivity (ADHD) was decreased 0.80). In case amyotrophic lateral sclerosis 1.04) Tourette’s syndrome there suggestive evidence their causal effects Our study shows genetic components predisposing BD, migraine, schizophrenia, PD may promote development ADHD be reduced The treatments aimed at alleviating diseases earlier onset also influence AD-related cognitive decline, which is typically later in life.

Язык: Английский

Процитировано

15

Taming neuroinflammation in Alzheimer's disease: The protective role of phytochemicals through the gut−brain axis DOI Open Access

Yoonsu Kim,

Jinkyu Lim, Jisun Oh

и другие.

Biomedicine & Pharmacotherapy, Год журнала: 2024, Номер 178, С. 117277 - 117277

Опубликована: Авг. 9, 2024

Язык: Английский

Процитировано

14

BrainAGE, brain health, and mental disorders: A systematic review DOI
Johanna Seitz‐Holland, Shalaila S. Haas, Nora Penzel

и другие.

Neuroscience & Biobehavioral Reviews, Год журнала: 2024, Номер 159, С. 105581 - 105581

Опубликована: Фев. 13, 2024

Язык: Английский

Процитировано

11

Single-nucleus transcriptomic profiling of human orbitofrontal cortex reveals convergent effects of aging and psychiatric disease DOI Creative Commons
Anna S. Fröhlich, Nathalie Gerstner, Miriam Gagliardi

и другие.

Nature Neuroscience, Год журнала: 2024, Номер 27(10), С. 2021 - 2032

Опубликована: Сен. 3, 2024

Abstract Aging is a complex biological process and represents the largest risk factor for neurodegenerative disorders. The disorders also increased in individuals with psychiatric Here, we characterized age-related transcriptomic changes brain by profiling ~800,000 nuclei from orbitofrontal cortex 87 without diagnoses replicated findings an independent cohort 32 individuals. affects all cell types, LAMP5 + LHX6 interneurons, cell-type abundant primates, far most affected. Disrupted synaptic transmission emerged as convergently affected pathway aged tissue. Age-related overlapped observed Alzheimer’s disease across multiple types. We find evidence accelerated aging demonstrate converging signature of psychopathology Our shed light on cell-type-specific effects pathways underlying their convergence driven diagnosis.

Язык: Английский

Процитировано

10

Brain Plasticity and Cell Competition: Immediate Early Genes Are the Focus DOI Creative Commons
П. П. Трегуб, Yulia K. Komleva,

Maria V. Kukla

и другие.

Cells, Год журнала: 2025, Номер 14(2), С. 143 - 143

Опубликована: Янв. 19, 2025

Brain plasticity is at the basis of many cognitive functions, including learning and memory. It includes several mechanisms synaptic extrasynaptic changes, neurogenesis, formation elimination synapses. The transmission involves expression immediate early genes (IEGs) that regulate neuronal activity, thereby supporting In addition, IEGs are involved in regulation brain cells’ metabolism, proliferation, survival, establishment multicellular ensembles, and, presumably, cell competition tissue. this review, we analyze current understanding role (c-Fos, c-Myc, Arg3.1/Arc) controlling physiological pathological conditions, aging neurodegeneration. This work might inspire new gene therapy strategies targeting to plasticity, potentially prevent or mitigate neurodegenerative diseases.

Язык: Английский

Процитировано

1

Brain‐wide associations between white matter and age highlight the role of fornix microstructure in brain ageing DOI Creative Commons
Max Korbmacher, Ann‐Marie G. de Lange, Dennis van der Meer

и другие.

Human Brain Mapping, Год журнала: 2023, Номер 44(10), С. 4101 - 4119

Опубликована: Май 17, 2023

Unveiling the details of white matter (WM) maturation throughout ageing is a fundamental question for understanding brain. In an extensive comparison brain age predictions and age-associations WM features from different diffusion approaches, we analyzed UK Biobank magnetic resonance imaging (dMRI) data across midlife older (N = 35,749, 44.6-82.8 years age). Conventional advanced dMRI approaches were consistent in predicting age. WM-age associations indicate steady microstructure degeneration with increasing to ages. Brain was estimated best when combining showing aspects contributing Fornix found as central region complement forceps minor another important region. These regions exhibited general pattern positive intra axonal water fractions, axial, radial diffusivities, negative relationships mean fractional anisotropy, kurtosis. We encourage application multiple detailed insights into WM, further investigation fornix potential biomarkers ageing.

Язык: Английский

Процитировано

21

Ischemic Heart Disease and Vascular Risk Factors Are Associated With Accelerated Brain Aging DOI Creative Commons
Elisa Rauseo, Ahmed Salih, Zahra Raisi‐Estabragh

и другие.

JACC. Cardiovascular imaging, Год журнала: 2023, Номер 16(7), С. 905 - 915

Опубликована: Апрель 12, 2023

Ischemic heart disease (IHD) has been linked with poor brain outcomes. The magnetic resonance imaging–derived difference between predicted age and actual chronological (brain-age delta in years, positive for accelerated aging) may serve as an effective means of communicating health to patients promote healthier lifestyles. authors investigated the impact prevalent IHD on aging, potential underlying mechanisms, its relationship dementia risk, vascular risk factors, cardiovascular structure, function. Brain was estimated subjects (n = 1,341) using a Bayesian ridge regression model 25 structural (volumetric) imaging features built UK Biobank participants no 35,237). Prevalent significantly aging (P < 0.001) that not fully mediated by microvascular injury. (positive brain-age delta) associated increased (OR: 1.13 [95% CI: 1.04-1.22]; P 0.002), factors (such diabetes), high adiposity. In absence IHD, also functional changes typically observed hearts. However, such alterations were dementia. coexisting are Positive representing communication tool show modifiable supporting preventative strategies.

Язык: Английский

Процитировано

19