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Madhavan SS, Roa Diaz S, Peralta S, Nomura M, King CD, Lin A, Bhaumik D, Shah S, Blade T, Gray W, Chamoli M, Eap B, Panda O, Diaz D, Garcia TY, Stubbs BJ, Lithgow GJ, Schilling B, Verdin E, Chaudhuri AR, Newman JC. β-hydroxybutyrate is a metabolic regulator of proteostasis in the aged and Alzheimer disease brain. bioRxiv 2023:2023.07.03.547547. [PMID: 37461525 PMCID: PMC10349929 DOI: 10.1101/2023.07.03.547547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/28/2023]
Abstract
Loss of proteostasis is a hallmark of aging and Alzheimer disease (AD). Here, we identify β-hydroxybutyrate (βHB), a ketone body, as a regulator of protein solubility in the aging brain. βHB is a small molecule metabolite which primarily provides an oxidative substrate for ATP during hypoglycemic conditions, and also regulates other cellular processes through covalent and noncovalent protein interactions. We demonstrate βHB-induced protein insolubility across in vitro, ex vivo, and in vivo mouse systems. This activity is shared by select structurally similar metabolites, is not dependent on covalent protein modification, pH, or solute load, and is observable in mouse brain in vivo after delivery of a ketone ester. Furthermore, this phenotype is selective for pathological proteins such as amyloid-β, and exogenous βHB ameliorates pathology in nematode models of amyloid-β aggregation toxicity. We have generated a comprehensive atlas of the βHB-induced protein insolublome ex vivo and in vivo using mass spectrometry proteomics, and have identified common protein domains within βHB target sequences. Finally, we show enrichment of neurodegeneration-related proteins among βHB targets and the clearance of these targets from mouse brain, likely via βHB-induced autophagy. Overall, these data indicate a new metabolically regulated mechanism of proteostasis relevant to aging and AD.
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Affiliation(s)
- S S Madhavan
- Buck Institute for Research on Aging, Novato, CA, USA
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Department of Geriatrics, University of California San Francisco, San Francisco, CA, USA
| | - S Roa Diaz
- Buck Institute for Research on Aging, Novato, CA, USA
- Department of Geriatrics, University of California San Francisco, San Francisco, CA, USA
| | - S Peralta
- Buck Institute for Research on Aging, Novato, CA, USA
| | - M Nomura
- Buck Institute for Research on Aging, Novato, CA, USA
| | - C D King
- Buck Institute for Research on Aging, Novato, CA, USA
| | - A Lin
- Buck Institute for Research on Aging, Novato, CA, USA
| | - D Bhaumik
- Buck Institute for Research on Aging, Novato, CA, USA
| | - S Shah
- Buck Institute for Research on Aging, Novato, CA, USA
| | - T Blade
- Buck Institute for Research on Aging, Novato, CA, USA
| | - W Gray
- Buck Institute for Research on Aging, Novato, CA, USA
| | - M Chamoli
- Buck Institute for Research on Aging, Novato, CA, USA
| | - B Eap
- Buck Institute for Research on Aging, Novato, CA, USA
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - O Panda
- Buck Institute for Research on Aging, Novato, CA, USA
| | - D Diaz
- Buck Institute for Research on Aging, Novato, CA, USA
| | - T Y Garcia
- Buck Institute for Research on Aging, Novato, CA, USA
- Department of Geriatrics, University of California San Francisco, San Francisco, CA, USA
| | - B J Stubbs
- Buck Institute for Research on Aging, Novato, CA, USA
| | - G J Lithgow
- Buck Institute for Research on Aging, Novato, CA, USA
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - B Schilling
- Buck Institute for Research on Aging, Novato, CA, USA
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - E Verdin
- Buck Institute for Research on Aging, Novato, CA, USA
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - A R Chaudhuri
- Buck Institute for Research on Aging, Novato, CA, USA
| | - J C Newman
- Buck Institute for Research on Aging, Novato, CA, USA
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Department of Geriatrics, University of California San Francisco, San Francisco, CA, USA
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Gopaulakrishnan S, Pollack S, Stubbs BJ, Pagès H, Readey J, Davis S, Waldron L, Morgan M, Carey V. restfulSE: A semantically rich interface for cloud-scale genomics with Bioconductor. F1000Res 2019; 8:21. [PMID: 30828438 PMCID: PMC6392152 DOI: 10.12688/f1000research.17518.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/19/2018] [Indexed: 11/20/2022] Open
Abstract
Bioconductor's SummarizedExperiment class unites numerical assay quantifications with sample- and experiment-level metadata. SummarizedExperiment is the standard Bioconductor class for assays that produce matrix-like data, used by over 200 packages. We describe the restfulSE package, a deployment of this data model that supports remote storage. We illustrate use of SummarizedExperiment with remote HDF5 and Google BigQuery back ends, with two applications in cancer genomics. Our intent is to allow the use of familiar and semantically meaningful programmatic idioms to query genomic data, while abstracting the remote interface from end users and developers.
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Affiliation(s)
- Shweta Gopaulakrishnan
- Channing Division of Network Medicine, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Samuela Pollack
- Channing Division of Network Medicine, Harvard Medical School, Boston, Massachusetts, 02115, USA.,Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA
| | - B J Stubbs
- Channing Division of Network Medicine, Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Hervé Pagès
- Fred Hutchinson Cancer Research Center, Seattle, Washington, 98109, USA
| | - John Readey
- Tools and Cloud Technology, HDF Group, Seattle, WA, 98109, USA
| | - Sean Davis
- Center for Cancer Research, National Cancer Institute, USA, Bethesda, Maryland, 20892, USA
| | - Levi Waldron
- Epidemiology and Biostatistics, CUNY School of Public Health, New York, New York, 10027, USA
| | - Martin Morgan
- Biostatistics and Bioinformatics, Roswell Park Cancer Institute, Buffalo, New York, 14203, USA
| | - Vincent Carey
- Channing Division of Network Medicine, Harvard Medical School, Boston, Massachusetts, 02115, USA
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