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Comprehensive Analysis of RNA Expression Correlations between Biofluids and Human Tissues
Ruya Sun1, Chunmei Cui1, Yuan Zhou1
1Key Laboratory of Molecular Cardiovascular Sciences of the Ministry of Education, Center for Non-Coding RNA Medicine, Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, China.
Genes
|July 2, 2021
Summary
Biofluids show positive RNA expression correlation with human tissues, varying by RNA type and tissue proximity. Biological sex influences these biomarker patterns.
Area of Science:
- Biomarker discovery
- Genomics
- Translational medicine
Background:
- Biofluids are promising for non-invasive biomarkers.
- RNA expression consistency between biofluids and tissues is crucial but unevaluated.
Purpose of the Study:
- To evaluate RNA expression consistency between human biofluids and tissues.
- To identify factors influencing biofluid-tissue correlation for biomarker development.
Main Methods:
- Collected and analyzed RNA expression profiles from 53 human tissues and 5 biofluid types (blood, urine, bile, saliva, stool).
- Compared mRNA and lncRNA expression patterns between biofluids and tissues.
- Investigated correlations based on anatomical proximity, functional relation, and biological sex.
Main Results:
- A global positive correlation was observed between biofluids and human tissues.
- Significant variations in similarity levels were found between mRNA and lncRNA.
- Higher correlations were noted between biofluids and anatomically/functionally related tissues, with a specific urine-prostate link.
- Biological sex was identified as a key influencing factor.
- Genes in basic biological processes showed low variability, while catabolism-related genes were highly variable across biofluids.
Conclusions:
- Biofluids reflect tissue RNA expression, supporting their use as non-invasive biomarkers.
- RNA type, tissue relationship, and biological sex are critical considerations for biofluid biomarker development.
- Understanding biofluid-tissue correlation patterns enhances diagnostic potential.
