Atlas of proteomic signatures of brain structure and its links to brain disorders
Abstract Individual variation in brain structure influences deterioration due to disease and comprehensive profiling of the associated proteomic signature advances mechanistic understanding. Here, using data from 4997 UK Biobank participants, we analyzed the associations between 2920 plasma proteins...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-06-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-60185-7 |
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| author | Peng Ren Xiao-He Hou Zeyu Li Jia You Yuzhu Li Wei Zhang Weikang Gong Bei Zhang Bangsheng Wu Linbo Wang Chun Shen Yujie Zhao Qing Ma Jujiao Kang Yuchao Jiang Neil Roberts Fan Xu Yong He Jin-Tai Yu Meiyun Wang Wei Cheng |
| author_facet | Peng Ren Xiao-He Hou Zeyu Li Jia You Yuzhu Li Wei Zhang Weikang Gong Bei Zhang Bangsheng Wu Linbo Wang Chun Shen Yujie Zhao Qing Ma Jujiao Kang Yuchao Jiang Neil Roberts Fan Xu Yong He Jin-Tai Yu Meiyun Wang Wei Cheng |
| author_sort | Peng Ren |
| collection | DOAJ |
| description | Abstract Individual variation in brain structure influences deterioration due to disease and comprehensive profiling of the associated proteomic signature advances mechanistic understanding. Here, using data from 4997 UK Biobank participants, we analyzed the associations between 2920 plasma proteins and 272 neuroimaging-derived brain structure measures. We identified 5358 associations between 1143 proteins and 256 brain structure measures, with NCAN and LEP proteins showing the most associations. Functional enrichment implicated these proteins in neurogenesis, immune/apoptotic processes and neurons. Furthermore, bidirectional Mendelian randomization revealed 33 associations between 32 proteins and 23 brain structure measures, and 21 associations between nine brain structure associated proteins and ten brain disorders. Moreover, the significant associations between the identified proteins and mental health were mediated by brain volume and surface area. In summary, this study generates a comprehensive atlas mapping the patterns of association between proteome and brain structure, highlighting their potential value for studying brain disorders. |
| format | Article |
| id | doaj-art-a6c76fe1d116491fbe9b8c9fbddcf1e6 |
| institution | OA Journals |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-a6c76fe1d116491fbe9b8c9fbddcf1e62025-08-20T02:10:35ZengNature PortfolioNature Communications2041-17232025-06-0116111810.1038/s41467-025-60185-7Atlas of proteomic signatures of brain structure and its links to brain disordersPeng Ren0Xiao-He Hou1Zeyu Li2Jia You3Yuzhu Li4Wei Zhang5Weikang Gong6Bei Zhang7Bangsheng Wu8Linbo Wang9Chun Shen10Yujie Zhao11Qing Ma12Jujiao Kang13Yuchao Jiang14Neil Roberts15Fan Xu16Yong He17Jin-Tai Yu18Meiyun Wang19Wei Cheng20Institute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversitySchool of Data Science, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityCentre for Reproductive Health (CRH), Institute for Regeneration and Repair (IRR), University of EdinburghInstitute of Mechanics and Computational Engineering, Department of Aeronautics and Astronautics, Fudan UniversityState Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal UniversityInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityDepartment of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s HospitalInstitute of Science and Technology for Brain-Inspired Intelligence, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan UniversityAbstract Individual variation in brain structure influences deterioration due to disease and comprehensive profiling of the associated proteomic signature advances mechanistic understanding. Here, using data from 4997 UK Biobank participants, we analyzed the associations between 2920 plasma proteins and 272 neuroimaging-derived brain structure measures. We identified 5358 associations between 1143 proteins and 256 brain structure measures, with NCAN and LEP proteins showing the most associations. Functional enrichment implicated these proteins in neurogenesis, immune/apoptotic processes and neurons. Furthermore, bidirectional Mendelian randomization revealed 33 associations between 32 proteins and 23 brain structure measures, and 21 associations between nine brain structure associated proteins and ten brain disorders. Moreover, the significant associations between the identified proteins and mental health were mediated by brain volume and surface area. In summary, this study generates a comprehensive atlas mapping the patterns of association between proteome and brain structure, highlighting their potential value for studying brain disorders.https://doi.org/10.1038/s41467-025-60185-7 |
| spellingShingle | Peng Ren Xiao-He Hou Zeyu Li Jia You Yuzhu Li Wei Zhang Weikang Gong Bei Zhang Bangsheng Wu Linbo Wang Chun Shen Yujie Zhao Qing Ma Jujiao Kang Yuchao Jiang Neil Roberts Fan Xu Yong He Jin-Tai Yu Meiyun Wang Wei Cheng Atlas of proteomic signatures of brain structure and its links to brain disorders Nature Communications |
| title | Atlas of proteomic signatures of brain structure and its links to brain disorders |
| title_full | Atlas of proteomic signatures of brain structure and its links to brain disorders |
| title_fullStr | Atlas of proteomic signatures of brain structure and its links to brain disorders |
| title_full_unstemmed | Atlas of proteomic signatures of brain structure and its links to brain disorders |
| title_short | Atlas of proteomic signatures of brain structure and its links to brain disorders |
| title_sort | atlas of proteomic signatures of brain structure and its links to brain disorders |
| url | https://doi.org/10.1038/s41467-025-60185-7 |
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