Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 1, 2024
Language: Английский
Nature Medicine, Journal Year: 2024, Volume and Issue: 30(10), P. 3015 - 3026
Published: Aug. 15, 2024
Language: Английский
Citations
15
Nature Aging, Journal Year: 2024, Volume and Issue: 4(9), P. 1290 - 1307
Published: June 28, 2024
Language: Английский
Citations
13
Brain Research, Journal Year: 2025, Volume and Issue: 1851, P. 149458 - 149458
Published: Jan. 16, 2025
Language: Английский
Citations
1
Neurology Genetics, Journal Year: 2025, Volume and Issue: 11(1)
Published: Jan. 17, 2025
UK Biobank is a large-scale prospective study with extensive genetic and phenotypic data from half million adults. Participants, aged 40 to 69, were recruited the general population between 2006 2010. During recruitment, participants completed questionnaires covering lifestyle medical history, underwent physical measurements, provided biological samples for long-term storage. Whole-cohort assays have been conducted, including biochemical markers, genotyping, whole-exome whole-genome sequencing, as well proteomics metabolomics in large subsets of cohort, potential additional future. Participants consented link their electronic health records, enabling identification outcomes over time. Research studies using already enhanced our understanding role variation neurologic disease, offering insights into therapeutic approaches. The integration imaging has led significant discoveries regarding relationship variants brain structure function, particularly Alzheimer disease Parkinson disease. Genetic also allowed Mendelian randomization analyses be performed, further investigation causality associations behavioral physiologic factors-such diet blood pressure-and outcomes. Furthermore, proteomic useful identifying new drug targets enhancing risk prediction algorithms that are increasingly applied clinical practice identify those at higher risk. As continues enhanced, cases accrue time, will become valuable both discovery translational research on genetics
Language: Английский
Citations
1
Science Advances, Journal Year: 2025, Volume and Issue: 11(11)
Published: March 12, 2025
Brain age gap (BAG), the deviation between estimated brain and chronological age, is a promising marker of health. However, genetic architecture reliable targets for aging remains poorly understood. In this study, we estimate magnetic resonance imaging (MRI)–based using deep learning models trained on UK Biobank validated with three external datasets. A genome-wide association study BAG identified two unreported loci seven previously reported loci. By integrating Mendelian Randomization (MR) colocalization analysis eQTL pQTL data, prioritized genetically supported druggable genes, including MAPT , TNFSF12 GZMB SIRPB1 GNLY NMB C1RL as aging. We rediscovered 13 potential drugs evidence from clinical trials several strong support. Our provides insights into basis aging, potentially facilitating drug development to extend health span.
Language: Английский
Citations
1
Biological Psychiatry, Journal Year: 2024, Volume and Issue: 96(7), P. 564 - 584
Published: May 6, 2024
Language: Английский
Citations
5
Trends in Cognitive Sciences, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
0
Journal of Integrative Neuroscience, Journal Year: 2025, Volume and Issue: 24(1)
Published: Jan. 23, 2025
Background: White matter (WM) is a principal component of the human brain, forming structural basis for neural transmission between cortico-cortical and subcortical structures. The impairment WM integrity closely associated with aging process, manifesting as reorganization brain networks based on graph theoretical analysis complex increased volume white hyperintensities (WMHs) in imaging studies. Methods: This study investigated changes robustness during assessed their correlation WMHs. We constructed 159 volunteers from community sample dataset using diffusion tensor (DTI). then calculated these by simulating neurodegeneration network attack analysis, studied correlations robustness, age, proportion Results: revealed moderate, negative weak Conclusions: These findings suggest that pathologies are offer new insights into characteristics brain.
Language: Английский
Citations
0
Human Brain Mapping, Journal Year: 2025, Volume and Issue: 46(2)
Published: Jan. 27, 2025
Neurodegeneration is presumed to be the pathological process measure most proximal clinical symptom onset in Alzheimer Disease (AD). Structural MRI routinely collected research and trial settings. Several quantitative MRI-based measures of atrophy have been proposed, but their low correspondence with each other has previously documented. The purpose this study was identify which commonly used structural (hippocampal volume, cortical thickness AD signature regions, or brain age gap [BAG]) had best Clinical Dementia Rating (CDR) an ethno-racially diverse sample. 2870 individuals recruited by Healthy Aging Brain Study-Health Disparities completed both CDR evaluation. Of these, 1887 were matched on ethno-racial identity (Mexican American [MA], non-Hispanic Black [NHB], White [NHW]) (27% > 0). We estimated using two pipelines (DeepBrainNet, BrainAgeR) then calculated BAG as difference between chronological age. also quantified hippocampal volumes HippoDeep thicknesses (both AD-specific average whole brain) FreeSurfer. ordinal regression evaluate associations neuroimaging test whether these differed groups. Higher (pDeepBrainNet = 0.0002; pBrainAgeR 0.00117) lower volume (p 0.0015) < 0.0001) associated worse status (higher CDR). strongest relationship (AICDeepBrainNet 2623, AICwhole cortex 2588, AICBrainAgeR 2533, AICHippocampus 2293, AICSignature Cortical Thickness 1903). groups for estimates not thickness. interpret lack interaction evidence that effectively captures sources disease-related may differ across racial ethnic association CDR. These results suggest a more sensitive generalizable marker neurodegeneration than cohorts.
Language: Английский
Citations
0
medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 7, 2025
Abstract Multi-organ biological aging clocks derived from clinical phenotypes and neuroimaging have emerged as valuable tools for studying human disease 1,2,3,4 . Plasma proteomics provides an additional molecular dimension to enrich these 5 Here, we used 2448 plasma proteins 43,498 participants in the UK Biobank develop 11 multi-organ proteome-based age gaps (ProtBAG). We compared them 9 phenotype-based (PhenoBAG 1 ) regarding genetics, causal associations with 525 endpoints (DE) FinnGen PGC, their promise predict 14 categories mortality. highlighted critical methodological considerations generating ProtBAG, including need bias correction 6 addressing protein organ specificity enhance model performance generalizability. Genetic analyses revealed overlap between ProtBAGs PhenoBAGs, shared loci, genetic correlations, colocalization signals. A three-layer network linked PhenoBAG, DE, exemplified by pathway of obesity→renal PhenoBAG→renal ProtBAG holistically understand disease. Combining features across multiple organs improved predictions These findings provide a framework integrating multi-omics biomedicine. All results are publicly disseminated at https://labs-laboratory.com/medicine/
Language: Английский
Citations
0