Imaging transcriptomics: Convergent cellular, transcriptomic, and molecular neuroimaging signatures in the healthy adult human brain

PET Templates Working Group

doi:10.1016/j.celrep.2021.110173

Imaging transcriptomics: Convergent cellular, transcriptomic, and molecular neuroimaging signatures in the healthy adult human brain

PET Templates Working Group

Research output: Contribution to journal › Article › peer-review

28 Citations (Scopus)

Abstract

The integration of transcriptomic and neuroimaging data, "imaging transcriptomics," has recently emerged to generate hypotheses about potential biological pathways underlying regional variability in neuroimaging features. However, the validity of this approach is yet to be examined in depth. Here, we sought to bridge this gap by performing transcriptomic decoding of the regional distribution of well-known molecular markers spanning different elements of the biology of the healthy human brain. Imaging transcriptomics identifies biological and cell pathways that are consistent with the known biology of a wide range of molecular neuroimaging markers. The extent to which it can capture patterns of gene expression that align well with elements of the biology of the neuroinflammatory axis, at least in healthy controls without a proinflammatory challenge, is inconclusive. Imaging transcriptomics might constitute an interesting approach to improve our understanding of the biological pathways underlying regional variability in a wide range of neuroimaging phenotypes.

Original language	English
Article number	110173
Pages (from-to)	110173
Journal	Cell Reports
Volume	37
Issue number	13
DOIs	https://doi.org/10.1016/j.celrep.2021.110173
Publication status	Published - 28 Dec 2021

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10.1016/j.celrep.2021.110173

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title = "Imaging transcriptomics: Convergent cellular, transcriptomic, and molecular neuroimaging signatures in the healthy adult human brain",

abstract = "The integration of transcriptomic and neuroimaging data, {"}imaging transcriptomics,{"} has recently emerged to generate hypotheses about potential biological pathways underlying regional variability in neuroimaging features. However, the validity of this approach is yet to be examined in depth. Here, we sought to bridge this gap by performing transcriptomic decoding of the regional distribution of well-known molecular markers spanning different elements of the biology of the healthy human brain. Imaging transcriptomics identifies biological and cell pathways that are consistent with the known biology of a wide range of molecular neuroimaging markers. The extent to which it can capture patterns of gene expression that align well with elements of the biology of the neuroinflammatory axis, at least in healthy controls without a proinflammatory challenge, is inconclusive. Imaging transcriptomics might constitute an interesting approach to improve our understanding of the biological pathways underlying regional variability in a wide range of neuroimaging phenotypes.",

author = "{PET Templates Working Group} and Daniel Martins and Alessio Giacomel and Williams, {Steven C R} and Federico Turkheimer and Ottavia Dipasquale and Mattia Veronese",

note = "Funding Information: We would like to thank all volunteers contributing data to this study. D.M. O.D. M.V. F.T. and S.C.R.M. are supported by the NIHR Maudsley's Biomedical Research Centre at the South London and Maudsley NHS Trust. A.G. is supported by the KCL-funded CDT in Data-Driven Health; this represents independent research partly funded by the NIHR Maudsley's Biomedical Research Center at the South London and Maudsley NHS Trust and partly funded by GlaxoSmithKline (GSK). J.C.M. received support from the Chao, Graham, Harrison, and Nantz Funds of the Houston Methodist Foundation and from the Moody Foundation. D.M. M.V. O.D. and F.T. designed the study; D.M. performed the data analysis and drafted the manuscript; A.G. wrote the python script provided with the manuscript; all authors discussed the findings, revised the manuscript for intellectual content, and approved the final version of the manuscript. The authors declare no competing interests. This manuscript represents independent research. One or more of the authors of this paper self-identifies as a member of the LGBTQ+ community. Funding Information: D.M., O.D., M.V., F.T., and S.C.R.M. are supported by the NIHR Maudsley{\textquoteright}s Biomedical Research Centre at the South London and Maudsley NHS Trust. A.G. is supported by the KCL-funded CDT in Data-Driven Health; this represents independent research partly funded by the NIHR Maudsley's Biomedical Research Center at the South London and Maudsley NHS Trust and partly funded by GlaxoSmithKline (GSK). J.C.M. received support from the Chao, Graham, Harrison, and Nantz Funds of the Houston Methodist Foundation and from the Moody Foundation . Publisher Copyright: {\textcopyright} 2021 The Authors",

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doi = "10.1016/j.celrep.2021.110173",

language = "English",

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AU - PET Templates Working Group

AU - Martins, Daniel

AU - Giacomel, Alessio

AU - Williams, Steven C R

AU - Turkheimer, Federico

AU - Dipasquale, Ottavia

AU - Veronese, Mattia

N1 - Funding Information: We would like to thank all volunteers contributing data to this study. D.M. O.D. M.V. F.T. and S.C.R.M. are supported by the NIHR Maudsley's Biomedical Research Centre at the South London and Maudsley NHS Trust. A.G. is supported by the KCL-funded CDT in Data-Driven Health; this represents independent research partly funded by the NIHR Maudsley's Biomedical Research Center at the South London and Maudsley NHS Trust and partly funded by GlaxoSmithKline (GSK). J.C.M. received support from the Chao, Graham, Harrison, and Nantz Funds of the Houston Methodist Foundation and from the Moody Foundation. D.M. M.V. O.D. and F.T. designed the study; D.M. performed the data analysis and drafted the manuscript; A.G. wrote the python script provided with the manuscript; all authors discussed the findings, revised the manuscript for intellectual content, and approved the final version of the manuscript. The authors declare no competing interests. This manuscript represents independent research. One or more of the authors of this paper self-identifies as a member of the LGBTQ+ community. Funding Information: D.M., O.D., M.V., F.T., and S.C.R.M. are supported by the NIHR Maudsley’s Biomedical Research Centre at the South London and Maudsley NHS Trust. A.G. is supported by the KCL-funded CDT in Data-Driven Health; this represents independent research partly funded by the NIHR Maudsley's Biomedical Research Center at the South London and Maudsley NHS Trust and partly funded by GlaxoSmithKline (GSK). J.C.M. received support from the Chao, Graham, Harrison, and Nantz Funds of the Houston Methodist Foundation and from the Moody Foundation . Publisher Copyright: © 2021 The Authors

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JF - Cell Reports

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Imaging transcriptomics: Convergent cellular, transcriptomic, and molecular neuroimaging signatures in the healthy adult human brain

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