Gaceta Médica de México, Journal Year: 2024, Volume and Issue: 160(3)
Published: Nov. 25, 2024
Language: Английский
Ageing Research Reviews, Journal Year: 2024, Volume and Issue: 100, P. 102418 - 102418
Published: July 14, 2024
Language: Английский
Citations
5
GeroScience, Journal Year: 2025, Volume and Issue: unknown
Published: March 7, 2025
Epigenetic aging clocks represent contemporary biomarkers that predict age using methylomic data. These models can be categorized as first-generation estimate chronological or next-generation are designed to associate with health, lifestyle, and/or outcomes. Recently, we created a buccal clock called CheekAge associates all-cause mortality risk in older adults. To better understand our model, collated 25 Infinium MethylationEPIC datasets the Gene Expression Omnibus database and analyzed ability of five other well-known distinct health disease signals. outcompeted every tested by significantly associating total 33 different variables, including human immunodeficiency virus, major depressive disorder, psychological trauma, prediabetes, body mass index, non-alcoholic fatty liver disease, pulmonary fibrosis, exposure chemical endocrine disruptor PBB-153, various cancers tumors. Of six tested, outperformed clocks. underlying biology CheekAge, iteratively removed CpG inputs identify DNA methylation sites promoted antagonized each association. Finally, performed detailed enrichment analyses on these unveil overrepresented biological processes transcription factor targets.
Language: Английский
Citations
0
Aging Cell, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 11, 2024
Abstract Usage of the phrase “biological age” has picked up considerably since advent aging clocks and it become commonplace to describe an clock's output as biological age. In contrast this labeling, age is also often depicted a more abstract concept that helps explain how individuals are internally, externally, functionally. Given bulk molecular tissue‐specific itself remarkably complex, multifarious process, unsurprising most surveyed scientists agree cannot be quantified via single metric. We share sentiment argue that, just like would not reasonable assume individual with ideal grip strength, VO 2 max, or any other biomarker biologically young, we should careful conflate clock whole‐body aging. To address this, recommend researchers based on type input data used name itself. Epigenetic produce epigenetic age, transcriptomic so forth. If unique name, such our recently developed CheekAge, can double output. As compromise solution, biomarkers described indicators feel these recommendations will help public differentiate between much elusive
Language: Английский
Citations
2
Published: April 17, 2024
This study introduces the MuhdoAge clock, a novel saliva-based epigenetic designed to predict biological age with strong correlations in healthy, disease-free cohort. Leveraging comprehensive dataset from Muhdo Health, this research analyses saliva samples utilising Illumina MethylationEPIC array. Through robust statistical methods, 237 significant CpG sites were identified that correlate age-related methylation changes, exhibiting coefficient of determination (R²) 0.652 after outlier removal, tiered algorithmic design improving further 0.726 new combined pathologic and healthy individuals (n=2682). Comparatively, clock was evaluated against other known clocks, demonstrating high precision predicting within (R² = 0.878, n=1844), emphasising its potential utility non-invasive, large-scale applications. The shows promise for integration into public health strategies monitoring potentially mitigating decline, facilitated by ease use accessibility through sampling. Furthermore, highlights impact lifestyle environmental factors on ageing, highlighting importance personalised interventions. Future is focus longitudinal studies validate these findings explore mechanisms underlying acceleration.
Language: Английский
Citations
1
Frontiers in Aging, Journal Year: 2024, Volume and Issue: 5
Published: Oct. 1, 2024
While earlier first-generation epigenetic aging clocks were trained to estimate chronological age as accurately possible, more recent next-generation incorporate DNA methylation information pertinent health, lifestyle, and/or outcomes. Recently, we produced a non-invasive clock using Infinium MethylationEPIC data from than 8,000 diverse adult buccal samples. this correlated with various and disease factors, did not assess its ability capture mortality. To address gap, applied CheekAge the longitudinal Lothian Birth Cohorts of 1921 1936. Despite missing nearly half CpG inputs, was significantly associated mortality in blood dataset. Specifically, change one standard deviation corresponded hazard ratio (HR) 1.21 (FDR q = 1.66e-6). performed better all tested displayed comparable HR next-generation, blood-trained DNAm PhenoAge (HR 1.23, 2.45e-9). understand relative importance each input blood, iteratively removed re-calculated overall association. The most significant effect came omitting cg14386193, which is annotated gene ALPK2 . Excluding site increased FDR value by threefold (to 4.92e-06). We additionally enrichment analyses top CpGs that impact their biology. Taken together, provide important validation for highlight novel underlie newly identified
Language: Английский
Citations
1
Aging and Disease, Journal Year: 2024, Volume and Issue: unknown, P. 0 - 0
Published: Jan. 1, 2024
Predicting health trajectories and accurately measuring aging processes across the human lifespan remain profound scientific challenges. Assessing effectiveness impact of interventions targeting is even more elusive, largely due to intricate, multidimensional nature aging-a process that defies simple quantification. Traditional biomarkers offer only partial perspectives, capturing limited aspects landscape. Yet, over past decade, groundbreaking advancements have emerged. Epigenetic clocks, derived from DNA methylation patterns, established themselves as powerful biomarkers, capable estimating biological age assessing rates diverse tissues with remarkable precision. These clocks provide predictive insights into mortality age-related disease risks, effectively distinguishing chronological illuminating enduring questions in gerontology. Despite significant progress epigenetic clock development, substantial challenges remain, underscoring need for continued investigation fully unlock their potential science aging.
Language: Английский
Citations
1
Published: April 16, 2024
This study introduces the MuhdoAge clock, a novel saliva-based epigenetic designed to predict biological age with strong correlations in healthy, disease-free cohort. Leveraging comprehensive dataset from Muhdo Health, this research analyses saliva samples utilising Illumina MethylationEPIC array. Through robust statistical methods, 237 significant CpG sites were identified that correlate age-related methylation changes, exhibiting coefficient of determination (R²) 0.652 after outlier removal, tiered algorithmic design improving further 0.726 new combined pathologic and healthy individuals (n=2682). Comparatively, clock was evaluated against other known clocks, demonstrating high precision predicting within (R² = 0.878, n=1844), emphasising its potential utility non-invasive, large-scale applications. The shows promise for integration into public health strategies monitoring potentially mitigating decline, facilitated by ease use accessibility through sampling. Furthermore, highlights impact lifestyle environmental factors on ageing, highlighting importance personalised interventions. Future is focus longitudinal studies validate these findings explore mechanisms underlying acceleration.
Language: Английский
Citations
0
Gaceta Médica de México, Journal Year: 2024, Volume and Issue: 160(3)
Published: Nov. 25, 2024
Language: Английский
Citations
0