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doi:10.22028/D291-40808
Title: | RNA sequencing of whole blood reveals early alterations in immune cells and gene expression in Parkinson's disease |
Author(s): | Craig, David W. Hutchins, Elizabeth Violich, Ivo Alsop, Eric Gibbs, J. Raphael Levy, Shawn Robison, Madison Prasad, Nripesh Foroud, Tatiana Crawford, Karen L. Toga, Arthur W. Whitsett, Timothy G. Kim, Seungchan Casey, Bradford Reimer, Alyssa Hutten, Samantha J. Frasier, Mark Kern, Fabian Fehlman, Tobias Keller, Andreas Cookson, Mark R. Van Keuren-Jensen, Kendall |
Language: | English |
Title: | Nature Aging |
Volume: | 1 |
Issue: | 8 |
Pages: | 734-747 |
Publisher/Platform: | Springer Nature |
Year of Publication: | 2021 |
Free key words: | Parkinson's disease Transcriptomics |
DDC notations: | 610 Medicine and health |
Publikation type: | Journal Article |
Abstract: | Changes in the blood-based RNA transcriptome have the potential to inform biomarkers of Parkinson’s disease (PD) progression. Here we sequenced a discovery set of whole-blood RNA species in 4,871 longitudinally collected samples from 1,570 clinically phenotyped individuals from the Parkinson’s Progression Marker Initiative (PPMI) cohort. Samples were sequenced to an average of 100 million read pairs to create a high-quality transcriptome. Participants with PD in the PPMI had significantly altered RNA expression (>2,000 differentially expressed genes), including an early and persistent increase in neutrophil gene expression, with a concomitant decrease in lymphocyte cell counts. This was validated in a cohort from the Parkinson’s Disease Biomarkers Program (PDBP) consisting of 1,599 participants and by alterations in immune cell subtypes. This publicly available transcriptomic dataset, coupled with available detailed clinical data, provides new insights into PD biological processes impacting whole blood and new paths for developing diagnostic and prognostic PD biomarkers. |
DOI of the first publication: | 10.1038/s43587-021-00088-6 |
URL of the first publication: | https://doi.org/10.1038/s43587-021-00088-6 |
Link to this record: | urn:nbn:de:bsz:291--ds-408089 hdl:20.500.11880/36671 http://dx.doi.org/10.22028/D291-40808 |
ISSN: | 2662-8465 |
Date of registration: | 24-Oct-2023 |
Description of the related object: | Supplementary information |
Related object: | https://static-content.springer.com/esm/art%3A10.1038%2Fs43587-021-00088-6/MediaObjects/43587_2021_88_MOESM1_ESM.pdf https://static-content.springer.com/esm/art%3A10.1038%2Fs43587-021-00088-6/MediaObjects/43587_2021_88_MOESM2_ESM.pdf https://static-content.springer.com/esm/art%3A10.1038%2Fs43587-021-00088-6/MediaObjects/43587_2021_88_MOESM3_ESM.xlsx |
Faculty: | M - Medizinische Fakultät |
Department: | M - Medizinische Biometrie, Epidemiologie und medizinische Informatik |
Professorship: | M - Univ.-Prof. Dr. Andreas Keller |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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