Decipher reliable biomarkers of brain aging by integrating literature-based evidence with interactome data
Brain ageing: Network map implicates immune-related genes The body’s immune response to microbes and damaged cells is associated with age-related cognitive decline, a gene network analysis shows. Jisook Moon from CHA University in Seoul, South Korea, and colleagues used published data on gene intera...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-04-01
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| Series: | Experimental and Molecular Medicine |
| Online Access: | https://doi.org/10.1038/s12276-018-0057-6 |
| _version_ | 1818925991104348160 |
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| author | Sang-Hun Bae Han Wool Kim SeoJeong Shin Joopyung Kim Yun-Hwa Jeong Jisook Moon |
| author_facet | Sang-Hun Bae Han Wool Kim SeoJeong Shin Joopyung Kim Yun-Hwa Jeong Jisook Moon |
| author_sort | Sang-Hun Bae |
| collection | DOAJ |
| description | Brain ageing: Network map implicates immune-related genes The body’s immune response to microbes and damaged cells is associated with age-related cognitive decline, a gene network analysis shows. Jisook Moon from CHA University in Seoul, South Korea, and colleagues used published data on gene interactions to construct a network map of molecular determinants behind ageing in the brain. They identified clusters of genes involved in regulating immune responses, in particular those associated with the so-called complement system, which is responsible for activating inflammatory proteins that help clear the body of pathogens and infected host cells. The researchers suggest that complement-related genes may serve as a “master regulator” of brain aging. They propose that measuring expression of these genes could serve as a diagnostic biomarker for the reduced activity of synaptic transmission in brain that leads to cognitive impairment. |
| first_indexed | 2024-12-20T02:50:01Z |
| format | Article |
| id | doaj.art-cb826629760848c4b82f0a72afd9f732 |
| institution | Directory Open Access Journal |
| issn | 2092-6413 |
| language | English |
| last_indexed | 2024-12-20T02:50:01Z |
| publishDate | 2018-04-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | Experimental and Molecular Medicine |
| spelling | doaj.art-cb826629760848c4b82f0a72afd9f7322022-12-21T19:56:04ZengNature Publishing GroupExperimental and Molecular Medicine2092-64132018-04-0150411510.1038/s12276-018-0057-6Decipher reliable biomarkers of brain aging by integrating literature-based evidence with interactome dataSang-Hun Bae0Han Wool Kim1SeoJeong Shin2Joopyung Kim3Yun-Hwa Jeong4Jisook Moon5Department of Biotechnology, College of Life Science, CHA UniversityGeneral Research Institute, CHA General HospitalDepartment of Biotechnology, College of Life Science, CHA UniversityDepartment of Neurosurgery, Bundang CHA Hospital, CHA University School of MedicineDepartment of Biotechnology, College of Life Science, CHA UniversityDepartment of Biotechnology, College of Life Science, CHA UniversityBrain ageing: Network map implicates immune-related genes The body’s immune response to microbes and damaged cells is associated with age-related cognitive decline, a gene network analysis shows. Jisook Moon from CHA University in Seoul, South Korea, and colleagues used published data on gene interactions to construct a network map of molecular determinants behind ageing in the brain. They identified clusters of genes involved in regulating immune responses, in particular those associated with the so-called complement system, which is responsible for activating inflammatory proteins that help clear the body of pathogens and infected host cells. The researchers suggest that complement-related genes may serve as a “master regulator” of brain aging. They propose that measuring expression of these genes could serve as a diagnostic biomarker for the reduced activity of synaptic transmission in brain that leads to cognitive impairment.https://doi.org/10.1038/s12276-018-0057-6 |
| spellingShingle | Sang-Hun Bae Han Wool Kim SeoJeong Shin Joopyung Kim Yun-Hwa Jeong Jisook Moon Decipher reliable biomarkers of brain aging by integrating literature-based evidence with interactome data Experimental and Molecular Medicine |
| title | Decipher reliable biomarkers of brain aging by integrating literature-based evidence with interactome data |
| title_full | Decipher reliable biomarkers of brain aging by integrating literature-based evidence with interactome data |
| title_fullStr | Decipher reliable biomarkers of brain aging by integrating literature-based evidence with interactome data |
| title_full_unstemmed | Decipher reliable biomarkers of brain aging by integrating literature-based evidence with interactome data |
| title_short | Decipher reliable biomarkers of brain aging by integrating literature-based evidence with interactome data |
| title_sort | decipher reliable biomarkers of brain aging by integrating literature based evidence with interactome data |
| url | https://doi.org/10.1038/s12276-018-0057-6 |
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