Common diseases alter the physiological age-related blood microRNA profile
Tobias Fehlmann1, Benoit Lehallier2, Nicholas Schaum2
1Chair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany.
Abstract:
Aging is a key risk factor for chronic diseases of the elderly. MicroRNAs regulate post-transcriptional gene silencing through base-pair binding on their target mRNAs. We identified nonlinear changes in age-related microRNAs by analyzing whole blood from 1334 healthy individuals. We observed a larger influence of the age as compared to the sex and provide evidence for a shift to the 5' mature form of miRNAs in healthy aging. The addition of 3059 diseased patients uncovered pan-disease and disease-specific alterations in aging profiles. Disease biomarker sets for all diseases were different between young and old patients. Computational deconvolution of whole-blood miRNAs into blood cell types suggests that cell intrinsic gene expression changes may impart greater significance than cell abundance changes to the whole blood miRNA profile. Altogether, these data provide a foundation for understanding the relationship between healthy aging and disease, and for the development of age-specific disease biomarkers.
Insights
Aging significantly alters microRNAs (miRNAs) in blood, impacting healthy aging and disease development. These age-related miRNA changes can serve as biomarkers for age-specific diseases.
Area of Science:
- Genomics
- Aging Research
- Molecular Biology
Background:
- Aging is a primary risk factor for numerous chronic diseases in the elderly.
- MicroRNAs (miRNAs) are crucial regulators of gene expression, influencing cellular processes.
- Understanding age-related molecular changes is vital for disease prevention and treatment.
Purpose of the Study:
- To investigate age-related changes in microRNA profiles in healthy individuals.
- To explore how these age-related miRNA alterations differ in the presence of disease.
- To identify potential age-specific biomarkers for various diseases.
Main Methods:
- Analysis of whole blood microRNA profiles from 1334 healthy individuals.
- Comparison of miRNA profiles between young and elderly individuals, considering sex.
- Inclusion of data from 3059 diseased patients to identify disease-specific alterations.
- Computational deconvolution of whole-blood miRNAs to assess cell-type specific changes.
Main Results:
- Nonlinear changes in age-related microRNAs were identified.
- Age had a greater influence on miRNA profiles than sex.
- A shift towards the 5' mature form of miRNAs was observed in healthy aging.
- Distinct pan-disease and disease-specific alterations in aging miRNA profiles were uncovered.
- Disease biomarker sets differed significantly between young and old patients.
- Cell-intrinsic gene expression changes, rather than cell abundance, were more significant for whole blood miRNA profiles.
Conclusions:
- Age-related miRNA profiles provide a foundation for understanding healthy aging and disease.
- These findings support the development of age-specific biomarkers for disease detection and management.
- MicroRNA dynamics in blood cells offer insights into aging and disease pathogenesis.
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