1
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Robertson K, Hahn O, Robinson BG, Faruk AT, Janakiraman M, Namkoong H, Kim K, Ye J, Bishop ES, Hall RA, Wyss-Coray T, Becker LS, Kaltschmidt JA. Gpr37 modulates the severity of inflammation-induced GI dysmotility by regulating enteric reactive gliosis. bioRxiv 2024:2024.04.09.588619. [PMID: 38645163 PMCID: PMC11030428 DOI: 10.1101/2024.04.09.588619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
The enteric nervous system (ENS) is contained within two layers of the gut wall and is made up of neurons, immune cells, and enteric glia cells (EGCs) that regulate gastrointestinal (GI) function. EGCs in both inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS) change in response to inflammation, referred to as reactive gliosis. Whether EGCs restricted to a specific layer or region within the GI tract alone can influence intestinal immune response is unknown. Using bulk RNA-sequencing and in situ hybridization, we identify G-protein coupled receptor Gpr37 , as a gene expressed only in EGCs of the myenteric plexus, one of the two layers of the ENS. We show that Gpr37 contributes to key components of LPS-induced reactive gliosis including activation of NF-kB and IFN-y signaling and response genes, lymphocyte recruitment, and inflammation-induced GI dysmotility. Targeting Gpr37 in EGCs presents a potential avenue for modifying inflammatory processes in the ENS.
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2
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Haney MS, Pálovics R, Munson CN, Long C, Johansson PK, Yip O, Dong W, Rawat E, West E, Schlachetzki JCM, Tsai A, Guldner IH, Lamichhane BS, Smith A, Schaum N, Calcuttawala K, Shin A, Wang YH, Wang C, Koutsodendris N, Serrano GE, Beach TG, Reiman EM, Glass CK, Abu-Remaileh M, Enejder A, Huang Y, Wyss-Coray T. APOE4/4 is linked to damaging lipid droplets in Alzheimer's disease microglia. Nature 2024; 628:154-161. [PMID: 38480892 PMCID: PMC10990924 DOI: 10.1038/s41586-024-07185-7] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 02/09/2024] [Indexed: 03/26/2024]
Abstract
Several genetic risk factors for Alzheimer's disease implicate genes involved in lipid metabolism and many of these lipid genes are highly expressed in glial cells1. However, the relationship between lipid metabolism in glia and Alzheimer's disease pathology remains poorly understood. Through single-nucleus RNA sequencing of brain tissue in Alzheimer's disease, we have identified a microglial state defined by the expression of the lipid droplet-associated enzyme ACSL1 with ACSL1-positive microglia being most abundant in patients with Alzheimer's disease having the APOE4/4 genotype. In human induced pluripotent stem cell-derived microglia, fibrillar Aβ induces ACSL1 expression, triglyceride synthesis and lipid droplet accumulation in an APOE-dependent manner. Additionally, conditioned media from lipid droplet-containing microglia lead to Tau phosphorylation and neurotoxicity in an APOE-dependent manner. Our findings suggest a link between genetic risk factors for Alzheimer's disease with microglial lipid droplet accumulation and neurotoxic microglia-derived factors, potentially providing therapeutic strategies for Alzheimer's disease.
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Affiliation(s)
- Michael S Haney
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Róbert Pálovics
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Christy Nicole Munson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Chris Long
- Department of Materials Science & Engineering Department, Stanford University School of Medicine, Stanford, CA, USA
| | - Patrik K Johansson
- Department of Materials Science & Engineering Department, Stanford University School of Medicine, Stanford, CA, USA
| | - Oscar Yip
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
| | - Wentao Dong
- The Institute for Chemistry, Engineering & Medicine for Human Health (ChEM-H), Stanford University, Stanford, CA, USA
| | - Eshaan Rawat
- The Institute for Chemistry, Engineering & Medicine for Human Health (ChEM-H), Stanford University, Stanford, CA, USA
| | - Elizabeth West
- Department of Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA, USA
| | - Johannes C M Schlachetzki
- Department of Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA, USA
| | - Andy Tsai
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Ian Hunter Guldner
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Bhawika S Lamichhane
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Amanda Smith
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Nicholas Schaum
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Kruti Calcuttawala
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Andrew Shin
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Yung-Hua Wang
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
| | - Chengzhong Wang
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
| | - Nicole Koutsodendris
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Development and Stem Cell Biology Graduate Program, University of California, San Francisco, CA, USA
| | - Geidy E Serrano
- Laboratory of Neuropathology, Banner Sun Health Research Institute, Sun City, AZ, USA
| | - Thomas G Beach
- Banner Alzheimer's Institute and Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Eric M Reiman
- Banner Alzheimer's Institute and Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Christopher K Glass
- Development and Stem Cell Biology Graduate Program, University of California, San Francisco, CA, USA
| | - Monther Abu-Remaileh
- The Institute for Chemistry, Engineering & Medicine for Human Health (ChEM-H), Stanford University, Stanford, CA, USA
| | - Annika Enejder
- Department of Materials Science & Engineering Department, Stanford University School of Medicine, Stanford, CA, USA
| | - Yadong Huang
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Development and Stem Cell Biology Graduate Program, University of California, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.
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3
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Mader MMD, Napole A, Wu D, Atkins M, Scavetti A, Shibuya Y, Foltz A, Hahn O, Yoo Y, Danziger R, Tan C, Wyss-Coray T, Steinman L, Wernig M. Myeloid cell replacement is neuroprotective in chronic experimental autoimmune encephalomyelitis. Nat Neurosci 2024:10.1038/s41593-024-01609-3. [PMID: 38514857 DOI: 10.1038/s41593-024-01609-3] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 02/22/2024] [Indexed: 03/23/2024]
Abstract
Multiple sclerosis (MS) is an autoimmune disease characterized by demyelination of the central nervous system (CNS). Autologous hematopoietic cell transplantation (HCT) shows promising benefits for relapsing-remitting MS in open-label clinical studies, but the cellular mechanisms underlying its therapeutic effects remain unclear. Using single-nucleus RNA sequencing, we identify a reactive myeloid cell state in chronic experimental autoimmune encephalitis (EAE) associated with neuroprotection and immune suppression. HCT in EAE mice results in an increase of the neuroprotective myeloid state, improvement of neurological deficits, reduced number of demyelinated lesions, decreased number of effector T cells and amelioration of reactive astrogliosis. Enhancing myeloid cell incorporation after a modified HCT further improved these neuroprotective effects. These data suggest that myeloid cell manipulation or replacement may be an effective therapeutic strategy for chronic inflammatory conditions of the CNS.
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Affiliation(s)
- Marius Marc-Daniel Mader
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Alan Napole
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Danwei Wu
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Neurology and Neurosciences, Division of Neuroimmunology and Multiple Sclerosis Center, Stanford University of Medicine, Stanford, CA, USA
| | - Micaiah Atkins
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Alexa Scavetti
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yohei Shibuya
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Aulden Foltz
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Oliver Hahn
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Yongjin Yoo
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Ron Danziger
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Christina Tan
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Lawrence Steinman
- Department of Neurology and Neurosciences, Division of Neuroimmunology and Multiple Sclerosis Center, Stanford University of Medicine, Stanford, CA, USA
| | - Marius Wernig
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
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4
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Iram T, Garcia MA, Amand J, Kaur A, Atkins M, Iyer M, Lam M, Ambiel N, Jorgens DM, Keller A, Wyss-Coray T, Kern F, Zuchero JB. SRF transcriptionally regulates the oligodendrocyte cytoskeleton during CNS myelination. Proc Natl Acad Sci U S A 2024; 121:e2307250121. [PMID: 38483990 PMCID: PMC10962977 DOI: 10.1073/pnas.2307250121] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 02/10/2024] [Indexed: 03/19/2024] Open
Abstract
Myelination of neuronal axons is essential for nervous system development. Myelination requires dramatic cytoskeletal dynamics in oligodendrocytes, but how actin is regulated during myelination is poorly understood. We recently identified serum response factor (SRF)-a transcription factor known to regulate expression of actin and actin regulators in other cell types-as a critical driver of myelination in the aged brain. Yet, a major gap remains in understanding the mechanistic role of SRF in oligodendrocyte lineage cells. Here, we show that SRF is required cell autonomously in oligodendrocytes for myelination during development. Combining ChIP-seq with RNA-seq identifies SRF-target genes in oligodendrocyte precursor cells and oligodendrocytes that include actin and other key cytoskeletal genes. Accordingly, SRF knockout oligodendrocytes exhibit dramatically reduced actin filament levels early in differentiation, consistent with its role in actin-dependent myelin sheath initiation. Surprisingly, oligodendrocyte-restricted loss of SRF results in upregulation of gene signatures associated with aging and neurodegenerative diseases. Together, our findings identify SRF as a transcriptional regulator that controls the expression of cytoskeletal genes required in oligodendrocytes for myelination. This study identifies an essential pathway regulating oligodendrocyte biology with high relevance to brain development, aging, and disease.
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Affiliation(s)
- Tal Iram
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA94305
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA94305
| | - Miguel A. Garcia
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA94305
| | - Jérémy Amand
- Department of Clinical Bioinformatics, Helmholtz Institute for Pharmaceutical Research Saarland–Helmholtz Centre for Infection Research, Saarland University Campus, Saarbrücken66123, Germany
- Clinical Bioinformatics, Saarland University, Saarbrücken66123, Germany
| | - Achint Kaur
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA94305
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA94305
| | - Micaiah Atkins
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA94305
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA94305
| | - Manasi Iyer
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA94305
| | - Mable Lam
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA94305
| | - Nicholas Ambiel
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA94305
| | | | - Andreas Keller
- Department of Clinical Bioinformatics, Helmholtz Institute for Pharmaceutical Research Saarland–Helmholtz Centre for Infection Research, Saarland University Campus, Saarbrücken66123, Germany
- Clinical Bioinformatics, Saarland University, Saarbrücken66123, Germany
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA94305
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA94305
| | - Fabian Kern
- Department of Clinical Bioinformatics, Helmholtz Institute for Pharmaceutical Research Saarland–Helmholtz Centre for Infection Research, Saarland University Campus, Saarbrücken66123, Germany
- Clinical Bioinformatics, Saarland University, Saarbrücken66123, Germany
| | - J. Bradley Zuchero
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA94305
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5
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Do AN, Ali M, Timsina J, Wang L, Western D, Liu M, Sanford J, Rosende-Roca M, Boada M, Puerta R, Wilson T, Ruiz A, Pastor P, Wyss-Coray T, Cruchaga C, Sung YJ. CSF proteomic profiling with amyloid/tau positivity identifies distinctive sex-different alteration of multiple proteins involved in Alzheimer's disease. medRxiv 2024:2024.03.15.24304164. [PMID: 38559166 PMCID: PMC10980123 DOI: 10.1101/2024.03.15.24304164] [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] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
In Alzheimer's disease (AD), the most common cause of dementia, females have higher prevalence and faster progression, but sex-specific molecular findings in AD are limited. Here, we comprehensively examined and validated 7,006 aptamers targeting 6,162 proteins in cerebral spinal fluid (CSF) from 2,077 amyloid/tau positive cases and controls to identify sex-specific proteomic signatures of AD. In discovery (N=1,766), we identified 330 male-specific and 121 female-specific proteomic alternations in CSF (FDR <0.05). These sex-specific proteins strongly predicted amyloid/tau positivity (AUC=0.98 in males; 0.99 in females), significantly higher than those with age, sex, and APOE-ε4 (AUC=0.85). The identified sex-specific proteins were well validated (r≥0.5) in the Stanford study (N=108) and Emory study (N=148). Biological follow-up of these proteins led to sex differences in cell-type specificity, pathways, interaction networks, and drug targets. Male-specific proteins, enriched in astrocytes and oligodendrocytes, were involved in postsynaptic and axon-genesis. The male network exhibited direct connections among 152 proteins and highlighted PTEN, NOTCH1, FYN, and MAPK8 as hubs. Drug target suggested melatonin (used for sleep-wake cycle regulation), nabumetone (used for pain), daunorubicin, and verteporfin for treating AD males. In contrast, female-specific proteins, enriched in neurons, were involved in phosphoserine residue binding including cytokine activities. The female network exhibits strong connections among 51 proteins and highlighted JUN and 14-3-3 proteins (YWHAG and YWHAZ) as hubs. Drug target suggested biperiden (for muscle control of Parkinson's disease), nimodipine (for cerebral vasospasm), quinostatin and ethaverine for treating AD females. Together, our findings provide mechanistic understanding of sex differences for AD risk and insights into clinically translatable interventions.
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Affiliation(s)
- Anh N Do
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Muhammad Ali
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Jigyasha Timsina
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Lihua Wang
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel Western
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Menghan Liu
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Jessie Sanford
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Matitee Rosende-Roca
- Research Center and Memory clinic Fundació ACE. Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Merce Boada
- Research Center and Memory clinic Fundació ACE. Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Raquel Puerta
- Research Center and Memory clinic Fundació ACE. Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Ted Wilson
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Agustin Ruiz
- Research Center and Memory clinic Fundació ACE. Institut Català de Neurociències Aplicades, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Pau Pastor
- Memory Disorders Unit, Department of Neurology, University Hospital Mutua Terrassa, Terrassa, Spain
| | - Tony Wyss-Coray
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Carlos Cruchaga
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Hope Center for Neurologic Diseases, Washington University in St. Louis, St. Louis, MO, USA
| | - Yun Ju Sung
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
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6
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Rutledge J, Lehallier B, Zarifkar P, Losada PM, Shahid-Besanti M, Western D, Gorijala P, Ryman S, Yutsis M, Deutsch GK, Mormino E, Trelle A, Wagner AD, Kerchner GA, Tian L, Cruchaga C, Henderson VW, Montine TJ, Borghammer P, Wyss-Coray T, Poston KL. Comprehensive proteomics of CSF, plasma, and urine identify DDC and other biomarkers of early Parkinson's disease. Acta Neuropathol 2024; 147:52. [PMID: 38467937 PMCID: PMC10927779 DOI: 10.1007/s00401-024-02706-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 02/12/2024] [Accepted: 02/12/2024] [Indexed: 03/13/2024]
Abstract
Parkinson's disease (PD) starts at the molecular and cellular level long before motor symptoms appear, yet there are no early-stage molecular biomarkers for diagnosis, prognosis prediction, or monitoring therapeutic response. This lack of biomarkers greatly impedes patient care and translational research-L-DOPA remains the standard of care more than 50 years after its introduction. Here, we performed a large-scale, multi-tissue, and multi-platform proteomics study to identify new biomarkers for early diagnosis and disease monitoring in PD. We analyzed 4877 cerebrospinal fluid, blood plasma, and urine samples from participants across seven cohorts using three orthogonal proteomics methods: Olink proximity extension assay, SomaScan aptamer precipitation assay, and liquid chromatography-mass spectrometry proteomics. We discovered that hundreds of proteins were upregulated in the CSF, blood, or urine of PD patients, prodromal PD patients with DAT deficit and REM sleep behavior disorder or anosmia, and non-manifesting genetic carriers of LRRK2 and GBA mutations. We nominate multiple novel hits across our analyses as promising markers of early PD, including DOPA decarboxylase (DDC), also known as L-aromatic acid decarboxylase (AADC), sulfatase-modifying factor 1 (SUMF1), dipeptidyl peptidase 2/7 (DPP7), glutamyl aminopeptidase (ENPEP), WAP four-disulfide core domain 2 (WFDC2), and others. DDC, which catalyzes the final step in dopamine synthesis, particularly stands out as a novel hit with a compelling mechanistic link to PD pathogenesis. DDC is consistently upregulated in the CSF and urine of treatment-naïve PD, prodromal PD, and GBA or LRRK2 carrier participants by all three proteomics methods. We show that CSF DDC levels correlate with clinical symptom severity in treatment-naïve PD patients and can be used to accurately diagnose PD and prodromal PD. This suggests that urine and CSF DDC could be a promising diagnostic and prognostic marker with utility in both clinical care and translational research.
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Affiliation(s)
- Jarod Rutledge
- Department of Genetics, Stanford University School of Medicine, Stanford University, Stanford, CA, USA.
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA.
| | - Benoit Lehallier
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Pardis Zarifkar
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
- Department of Clinical Epidemiology, Aarhus University, Aarhus, Denmark
| | - Patricia Moran Losada
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Marian Shahid-Besanti
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Dan Western
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Priyanka Gorijala
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Sephira Ryman
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
- Translational Neuroscience, Mind Research Network, Albuquerque, NM, USA
| | - Maya Yutsis
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Gayle K Deutsch
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Elizabeth Mormino
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Alexandra Trelle
- Department of Psychology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Anthony D Wagner
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Psychology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Geoffrey A Kerchner
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
- Roche Medical, Basel, Switzerland
| | - Lu Tian
- Department of Biomedical Data Science, Stanford University School of Humanities and Sciences, Stanford University, Stanford, CA, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Victor W Henderson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Thomas J Montine
- Department of Pathology, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Per Borghammer
- Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus, Denmark
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA.
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA.
- The Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.
| | - Kathleen L Poston
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA.
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA.
- The Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.
- Department of Neurosurgery, Stanford University School of Medicine, Stanford University, Stanford, CA, USA.
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7
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Cruchaga C, Ali M, Shen Y, Do A, Wang L, Western D, Liu M, Beric A, Budde J, Gentsch J, Schindler S, Morris J, Holtzman D, Fernández M, Ruiz A, Alvarez I, Aguilar M, Pastor P, Rutledge J, Oh H, Wilson E, Le Guen Y, Khalid R, Robins C, Pulford D, Ibanez L, Wyss-Coray T, Ju Sung Y. Multi-cohort cerebrospinal fluid proteomics identifies robust molecular signatures for asymptomatic and symptomatic Alzheimer's disease. Res Sq 2024:rs.3.rs-3631708. [PMID: 38410465 PMCID: PMC10896368 DOI: 10.21203/rs.3.rs-3631708/v1] [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] [Subscribe] [Scholar Register] [Indexed: 02/28/2024]
Abstract
Changes in Amyloid-β (A), hyperphosphorylated Tau (T) in brain and cerebrospinal fluid (CSF) precedes AD symptoms, making CSF proteome a potential avenue to understand the pathophysiology and facilitate reliable diagnostics and therapies. Using the AT framework and a three-stage study design (discovery, replication, and meta-analysis), we identified 2,173 proteins dysregulated in AD, that were further validated in a third totally independent cohort. Machine learning was implemented to create and validate highly accurate and replicable (AUC>0.90) models that predict AD biomarker positivity and clinical status. These models can also identify people that will convert to AD and those AD cases with faster progression. The associated proteins cluster in four different protein pseudo-trajectories groups spanning the AD continuum and were enrichment in specific pathways including neuronal death, apoptosis and tau phosphorylation (early stages), microglia dysregulation and endolysosomal dysfuncton(mid-stages), brain plasticity and longevity (mid-stages) and late microglia-neuron crosstalk (late stages).
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Affiliation(s)
| | | | | | - Anh Do
- Washington University School of Medicine
| | - Lihua Wang
- Washington University School of Medicine
| | - Daniel Western
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | | | | | | | | | | | | | | | | | | | - Ignacio Alvarez
- Fundació Docència i Recerca MútuaTerrassa, Terrassa, Barcelona, Spain
| | | | - Pau Pastor
- University Hospital Germans Trias i Pujol
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8
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Shen Y, Ali M, Timsina J, Wang C, Do A, Western D, Liu M, Gorijala P, Budde J, Liu H, Gordon B, McDade E, Morris JC, Llibre-Guerra JJ, Bateman RJ, Joseph-Mathurin N, Perrin RJ, Maschi D, Wyss-Coray T, Pastor P, Goate A, Renton AE, Surace EI, Johnson ECB, Levey AI, Alvarez I, Levin J, Ringman JM, Allegri RF, Seyfried N, Day GS, Wu Q, Fernández MV, Ibanez L, Sung YJ, Cruchaga C. Systematic proteomics in Autosomal dominant Alzheimer's disease reveals decades-early changes of CSF proteins in neuronal death, and immune pathways. medRxiv 2024:2024.01.12.24301242. [PMID: 38260583 PMCID: PMC10802763 DOI: 10.1101/2024.01.12.24301242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Background To date, there is no high throughput proteomic study in the context of Autosomal Dominant Alzheimer's disease (ADAD). Here, we aimed to characterize early CSF proteome changes in ADAD and leverage them as potential biomarkers for disease monitoring and therapeutic strategies. Methods We utilized Somascan® 7K assay to quantify protein levels in the CSF from 291 mutation carriers (MCs) and 185 non-carriers (NCs). We employed a multi-layer regression model to identify proteins with different pseudo-trajectories between MCs and NCs. We replicated the results using publicly available ADAD datasets as well as proteomic data from sporadic Alzheimer's disease (sAD). To biologically contextualize the results, we performed network and pathway enrichment analyses. Machine learning was applied to create and validate predictive models. Findings We identified 125 proteins with significantly different pseudo-trajectories between MCs and NCs. Twelve proteins showed changes even before the traditional AD biomarkers (Aβ42, tau, ptau). These 125 proteins belong to three different modules that are associated with age at onset: 1) early stage module associated with stress response, glutamate metabolism, and mitochondria damage; 2) the middle stage module, enriched in neuronal death and apoptosis; and 3) the presymptomatic stage module was characterized by changes in microglia, and cell-to-cell communication processes, indicating an attempt of rebuilding and establishing new connections to maintain functionality. Machine learning identified a subset of nine proteins that can differentiate MCs from NCs better than traditional AD biomarkers (AUC>0.89). Interpretation Our findings comprehensively described early proteomic changes associated with ADAD and captured specific biological processes that happen in the early phases of the disease, fifteen to five years before clinical onset. We identified a small subset of proteins with the potentials to become therapy-monitoring biomarkers of ADAD MCs. Funding Proteomic data generation was supported by NIH: RF1AG044546.
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9
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Flotho M, Amand J, Hirsch P, Grandke F, Wyss-Coray T, Keller A, Kern F. ZEBRA: a hierarchically integrated gene expression atlas of the murine and human brain at single-cell resolution. Nucleic Acids Res 2024; 52:D1089-D1096. [PMID: 37941147 PMCID: PMC10767845 DOI: 10.1093/nar/gkad990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/02/2023] [Accepted: 10/16/2023] [Indexed: 11/10/2023] Open
Abstract
The molecular causes and mechanisms of neurodegenerative diseases remain poorly understood. A growing number of single-cell studies have implicated various neural, glial, and immune cell subtypes to affect the mammalian central nervous system in many age-related disorders. Integrating this body of transcriptomic evidence into a comprehensive and reproducible framework poses several computational challenges. Here, we introduce ZEBRA, a large single-cell and single-nucleus RNA-seq database. ZEBRA integrates and normalizes gene expression and metadata from 33 studies, encompassing 4.2 million human and mouse brain cells sampled from 39 brain regions. It incorporates samples from patients with neurodegenerative diseases like Alzheimer's disease, Parkinson's disease, and Multiple sclerosis, as well as samples from relevant mouse models. We employed scVI, a deep probabilistic auto-encoder model, to integrate the samples and curated both cell and sample metadata for downstream analysis. ZEBRA allows for cell-type and disease-specific markers to be explored and compared between sample conditions and brain regions, a cell composition analysis, and gene-wise feature mappings. Our comprehensive molecular database facilitates the generation of data-driven hypotheses, enhancing our understanding of mammalian brain function during aging and disease. The data sets, along with an interactive database are freely available at https://www.ccb.uni-saarland.de/zebra.
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Affiliation(s)
- Matthias Flotho
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research, Saarland University Campus, 66123 Saarbrücken, Germany
- Clinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | - Jérémy Amand
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research, Saarland University Campus, 66123 Saarbrücken, Germany
- Clinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | - Pascal Hirsch
- Clinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | - Friederike Grandke
- Clinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
| | - Andreas Keller
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research, Saarland University Campus, 66123 Saarbrücken, Germany
- Clinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
| | - Fabian Kern
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research, Saarland University Campus, 66123 Saarbrücken, Germany
- Clinical Bioinformatics, Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany
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10
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Wang L, Nykänen NP, Western D, Gorijala P, Timsina J, Li F, Wang Z, Ali M, Yang C, Liu M, Brock W, Marquié M, Boada M, Alvarez I, Aguilar M, Pastor P, Ruiz A, Puerta R, Orellana A, Rutledge J, Oh H, Greicius MD, Le Guen Y, Perrin RJ, Wyss-Coray T, Jefferson A, Hohman TJ, Graff-Radford N, Mori H, Goate A, Levin J, Sung YJ, Cruchaga C. Proteo-genomics of soluble TREM2 in cerebrospinal fluid provides novel insights and identifies novel modulators for Alzheimer's disease. Mol Neurodegener 2024; 19:1. [PMID: 38172904 PMCID: PMC10763080 DOI: 10.1186/s13024-023-00687-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 11/28/2023] [Indexed: 01/05/2024] Open
Abstract
Triggering receptor expressed on myeloid cells 2 (TREM2) plays a critical role in microglial activation, survival, and apoptosis, as well as in Alzheimer's disease (AD) pathogenesis. We previously reported the MS4A locus as a key modulator for soluble TREM2 (sTREM2) in cerebrospinal fluid (CSF). To identify additional novel genetic modifiers of sTREM2, we performed the largest genome-wide association study (GWAS) and identified four loci for CSF sTREM2 in 3,350 individuals of European ancestry. Through multi-ethnic fine mapping, we identified two independent missense variants (p.M178V in MS4A4A and p.A112T in MS4A6A) that drive the association in MS4A locus and showed an epistatic effect for sTREM2 levels and AD risk. The novel TREM2 locus on chr 6 contains two rare missense variants (rs75932628 p.R47H, P=7.16×10-19; rs142232675 p.D87N, P=2.71×10-10) associated with sTREM2 and AD risk. The third novel locus in the TGFBR2 and RBMS3 gene region (rs73823326, P=3.86×10-9) included a regulatory variant with a microglia-specific chromatin loop for the promoter of TGFBR2. Using cell-based assays we demonstrate that overexpression and knock-down of TGFBR2, but not RBMS3, leads to significant changes of sTREM2. The last novel locus is located on the APOE region (rs11666329, P=2.52×10-8), but we demonstrated that this signal was independent of APOE genotype. This signal colocalized with cis-eQTL of NECTIN2 in the brain cortex and cis-pQTL of NECTIN2 in CSF. Overexpression of NECTIN2 led to an increase of sTREM2 supporting the genetic findings. To our knowledge, this is the largest study to date aimed at identifying genetic modifiers of CSF sTREM2. This study provided novel insights into the MS4A and TREM2 loci, two well-known AD risk genes, and identified TGFBR2 and NECTIN2 as additional modulators involved in TREM2 biology.
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Affiliation(s)
- Lihua Wang
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Niko-Petteri Nykänen
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel Western
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Priyanka Gorijala
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Jigyasha Timsina
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Fuhai Li
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Zhaohua Wang
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Muhammad Ali
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Chengran Yang
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Menghan Liu
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - William Brock
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Marta Marquié
- Networking Research Center on Neurodegenerative Disease (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Mercè Boada
- Networking Research Center on Neurodegenerative Disease (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Ignacio Alvarez
- Memory Disorders Unit, Department of Neurology, University Hospital Mutua Terrassa, Terrassa, Spain
| | - Miquel Aguilar
- Memory Disorders Unit, Department of Neurology, University Hospital Mutua Terrassa, Terrassa, Spain
| | - Pau Pastor
- Unit of Neurodegenerative diseases, Department of Neurology, University Hospital Germans Trias i Pujol and The Germans Trias i Pujol Research Institute (IGTP) Badalona, Barcelona, Spain
| | - Agustín Ruiz
- Networking Research Center on Neurodegenerative Disease (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Raquel Puerta
- Networking Research Center on Neurodegenerative Disease (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Adelina Orellana
- Networking Research Center on Neurodegenerative Disease (CIBERNED), Instituto de Salud Carlos III, Madrid, Spain
- Research Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain
| | - Jarod Rutledge
- Wu-Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Hamilton Oh
- Wu-Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | | | - Yann Le Guen
- Wu-Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Richard J Perrin
- Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tony Wyss-Coray
- Wu-Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Angela Jefferson
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Timothy J Hohman
- Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | - Alison Goate
- Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Johannes Levin
- Department of Neurology, University Hospital of Munich, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Yun Ju Sung
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
- Division of Biostatistics, Washington University School of Medicine, BJC Institute of Health, 425 S. Euclid Ave, Box 8134, St. Louis, MO, 63110, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA.
- Hope Center for Neurologic Diseases, Washington University, St. Louis, MO, USA.
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11
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Wagner V, Kern F, Hahn O, Schaum N, Ludwig N, Fehlmann T, Engel A, Henn D, Rishik S, Isakova A, Tan M, Sit R, Neff N, Hart M, Meese E, Quake S, Wyss-Coray T, Keller A. Characterizing expression changes in noncoding RNAs during aging and heterochronic parabiosis across mouse tissues. Nat Biotechnol 2024; 42:109-118. [PMID: 37106037 DOI: 10.1038/s41587-023-01751-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 03/15/2023] [Indexed: 04/29/2023]
Abstract
Molecular mechanisms of organismal and cell aging remain incompletely understood. We, therefore, generated a body-wide map of noncoding RNA (ncRNA) expression in aging (16 organs at ten timepoints from 1 to 27 months) and rejuvenated mice. We found molecular aging trajectories are largely tissue-specific except for eight broadly deregulated microRNAs (miRNAs). Their individual abundance mirrors their presence in circulating plasma and extracellular vesicles (EVs) whereas tissue-specific ncRNAs were less present. For miR-29c-3p, we observe the largest correlation with aging in solid organs, plasma and EVs. In mice rejuvenated by heterochronic parabiosis, miR-29c-3p was the most prominent miRNA restored to similar levels found in young liver. miR-29c-3p targets the extracellular matrix and secretion pathways, known to be implicated in aging. We provide a map of organism-wide expression of ncRNAs with aging and rejuvenation and identify a set of broadly deregulated miRNAs, which may function as systemic regulators of aging via plasma and EVs.
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Affiliation(s)
- Viktoria Wagner
- Clinical Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Fabian Kern
- Clinical Bioinformatics, Saarland University, Saarbrücken, Germany
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
- Helmholtz Institute for Pharmaceutical Research Saarland (HIPS)-Helmholtz Centre for Infection Research (HZI), Saarland University Campus, Saarbrücken, Germany
| | - Oliver Hahn
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Nicholas Schaum
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Nicole Ludwig
- Department of Human Genetics, Saarland University, Saarland, Germany
| | - Tobias Fehlmann
- Clinical Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Annika Engel
- Clinical Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Dominic Henn
- Department of Plastic Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Shusruto Rishik
- Clinical Bioinformatics, Saarland University, Saarbrücken, Germany
| | - Alina Isakova
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Michelle Tan
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Rene Sit
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Norma Neff
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Martin Hart
- Department of Human Genetics, Saarland University, Saarland, Germany
| | - Eckart Meese
- Department of Human Genetics, Saarland University, Saarland, Germany
| | - Steve Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.
| | - Andreas Keller
- Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
- Helmholtz Institute for Pharmaceutical Research Saarland (HIPS)-Helmholtz Centre for Infection Research (HZI), Saarland University Campus, Saarbrücken, Germany.
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12
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Oh HSH, Rutledge J, Nachun D, Pálovics R, Abiose O, Moran-Losada P, Channappa D, Urey DY, Kim K, Sung YJ, Wang L, Timsina J, Western D, Liu M, Kohlfeld P, Budde J, Wilson EN, Guen Y, Maurer TM, Haney M, Yang AC, He Z, Greicius MD, Andreasson KI, Sathyan S, Weiss EF, Milman S, Barzilai N, Cruchaga C, Wagner AD, Mormino E, Lehallier B, Henderson VW, Longo FM, Montgomery SB, Wyss-Coray T. Organ aging signatures in the plasma proteome track health and disease. Nature 2023; 624:164-172. [PMID: 38057571 PMCID: PMC10700136 DOI: 10.1038/s41586-023-06802-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 10/31/2023] [Indexed: 12/08/2023]
Abstract
Animal studies show aging varies between individuals as well as between organs within an individual1-4, but whether this is true in humans and its effect on age-related diseases is unknown. We utilized levels of human blood plasma proteins originating from specific organs to measure organ-specific aging differences in living individuals. Using machine learning models, we analysed aging in 11 major organs and estimated organ age reproducibly in five independent cohorts encompassing 5,676 adults across the human lifespan. We discovered nearly 20% of the population show strongly accelerated age in one organ and 1.7% are multi-organ agers. Accelerated organ aging confers 20-50% higher mortality risk, and organ-specific diseases relate to faster aging of those organs. We find individuals with accelerated heart aging have a 250% increased heart failure risk and accelerated brain and vascular aging predict Alzheimer's disease (AD) progression independently from and as strongly as plasma pTau-181 (ref. 5), the current best blood-based biomarker for AD. Our models link vascular calcification, extracellular matrix alterations and synaptic protein shedding to early cognitive decline. We introduce a simple and interpretable method to study organ aging using plasma proteomics data, predicting diseases and aging effects.
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Affiliation(s)
- Hamilton Se-Hwee Oh
- Graduate Program in Stem Cell and Regenerative Medicine, Stanford University, Stanford, CA, USA
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Jarod Rutledge
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Graduate Program in Genetics, Stanford University, Stanford, CA, USA
| | - Daniel Nachun
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Róbert Pálovics
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Olamide Abiose
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Patricia Moran-Losada
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Divya Channappa
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Deniz Yagmur Urey
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Department of Bioengineering, Stanford University School of Engineering, Stanford, CA, USA
| | - Kate Kim
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Yun Ju Sung
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Lihua Wang
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Jigyasha Timsina
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Dan Western
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, MO, USA
| | - Menghan Liu
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Pat Kohlfeld
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John Budde
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Edward N Wilson
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Yann Guen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Taylor M Maurer
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael Haney
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Andrew C Yang
- Departments of Neurology and Anatomy, University of California San Francisco, San Francisco, CA, USA
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, USA
- Bakar Aging Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Zihuai He
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael D Greicius
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Katrin I Andreasson
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Sanish Sathyan
- Departments of Medicine and Genetics, Institute for Aging Research, Albert Einstein College of Medicine, New York, NY, USA
| | - Erica F Weiss
- Department of Neurology, Montefiore Medical Center, New York, NY, USA
| | - Sofiya Milman
- Departments of Medicine and Genetics, Institute for Aging Research, Albert Einstein College of Medicine, New York, NY, USA
| | - Nir Barzilai
- Departments of Medicine and Genetics, Institute for Aging Research, Albert Einstein College of Medicine, New York, NY, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Anthony D Wagner
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Elizabeth Mormino
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Benoit Lehallier
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Victor W Henderson
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Frank M Longo
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Stephen B Montgomery
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Tony Wyss-Coray
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
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13
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Tsitsou-Kampeli A, Suzzi S, Kenigsbuch M, Satomi A, Strobelt R, Singer O, Feldmesser E, Purnapatre M, Colaiuta SP, David E, Cahalon L, Hahn O, Wyss-Coray T, Shaul Y, Amit I, Schwartz M. Cholesterol 24-hydroxylase at the choroid plexus contributes to brain immune homeostasis. Cell Rep Med 2023; 4:101278. [PMID: 37944529 PMCID: PMC10694665 DOI: 10.1016/j.xcrm.2023.101278] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 05/26/2023] [Accepted: 10/11/2023] [Indexed: 11/12/2023]
Abstract
The choroid plexus (CP) plays a key role in remotely controlling brain function in health, aging, and disease. Here, we report that CP epithelial cells express the brain-specific cholesterol 24-hydroxylase (CYP46A1) and that its levels are decreased under different mouse and human brain conditions, including amyloidosis, aging, and SARS-CoV-2 infection. Using primary mouse CP cell cultures, we demonstrate that the enzymatic product of CYP46A1, 24(S)-hydroxycholesterol, downregulates inflammatory transcriptomic signatures within the CP, found here to be elevated across multiple neurological conditions. In vitro, the pro-inflammatory cytokine tumor necrosis factor α (TNF-α) downregulates CYP46A1 expression, while overexpression of CYP46A1 or its pharmacological activation in mouse CP organ cultures increases resilience to TNF-α. In vivo, overexpression of CYP46A1 in the CP in transgenic mice with amyloidosis is associated with better cognitive performance and decreased brain inflammation. Our findings suggest that CYP46A1 expression in the CP impacts the role of this niche as a guardian of brain immune homeostasis.
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Affiliation(s)
| | - Stefano Suzzi
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel.
| | - Mor Kenigsbuch
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel; Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Akisawa Satomi
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel; Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | - Romano Strobelt
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Oded Singer
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Ester Feldmesser
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | | | | | - Eyal David
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Liora Cahalon
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Oliver Hahn
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Yosef Shaul
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Ido Amit
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Michal Schwartz
- Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel.
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14
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Chemparathy A, Guen YL, Zeng Y, Gorzynski J, Jensen T, Yang C, Kasireddy N, Talozzi L, Belloy ME, Stewart I, Gitler AD, Wagner AD, Mormino E, Henderson VW, Wyss-Coray T, Ashley E, Cruchaga C, Greicius MD. A 3'UTR Insertion Is a Candidate Causal Variant at the TMEM106B Locus Associated with Increased Risk for FTLD-TDP. medRxiv 2023:2023.07.06.23292312. [PMID: 37461476 PMCID: PMC10350161 DOI: 10.1101/2023.07.06.23292312] [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: 07/27/2023]
Abstract
Background and Objectives Single nucleotide variants near TMEM106B associate with risk of frontotemporal lobar dementia with TDP-43 inclusions (FTLD-TDP) and Alzheimer's disease (AD) in genome-wide association studies (GWAS), but the causal variant at this locus remains unclear. Here we asked whether a novel structural variant on TMEM106B is the causal variant. Methods An exploratory analysis identified structural variants on neurodegeneration-related genes. Subsequent analyses focused on an Alu element insertion on the 3'UTR of TMEM106B. This study included data from longitudinal aging and neurogenerative disease cohorts at Stanford University, case-control cohorts in the Alzheimer's Disease Sequencing Project (ADSP), and expression and proteomics data from Washington University in St. Louis (WUSTL). 432 individuals from two Stanford aging cohorts were whole-genome long-read and short-read sequenced. 16,906 samples from ADSP were short-read sequenced. Genotypes, transcriptomics, and proteomics data were available in 1,979 participants from an aging and dementia cohort at WUSTL. Selection criteria were specific to each cohort. In primary analyses, the linkage disequilibrium between the TMEM106B locus variants in the FTLD-TDP GWAS and the 3'UTR insertion was estimated. We then estimated linkage by ancestry in the ADSP and evaluated the effect of the TMEM106B lead variant on mRNA and protein levels. Results The primary analysis included 432 participants (52.5% females, age range 45-92 years old). We identified a 316 bp Alu insertion overlapping the TMEM106B 3'UTR tightly linked with top GWAS variants rs3173615(C) and rs1990622(A). In ADSP European-ancestry participants, this insertion is in equivalent linkage with rs1990622(A) (R2=0.962, D'=0.998) and rs3173615(C) (R2=0.960, D'=0.996). In African-ancestry participants, the insertion is in stronger linkage with rs1990622(A) (R2=0.992, D'=0.998) than with rs3173615(C) (R2=0.811, D'=0.994). In public datasets, rs1990622 was consistently associated with TMEM106B protein levels but not with mRNA expression. In the WUSTL dataset, rs1990622 is associated with TMEM106B protein levels in plasma and cerebrospinal fluid, but not with TMEM106B mRNA expression. Discussion We identified a novel Alu element insertion in the 3'UTR of TMEM106B in tight linkage with the lead FTLD-TDP risk variant. The lead variant is associated with TMEM106B protein levels, but not expression. The 3'UTR insertion is a lead candidate for the causal variant at this complex locus, pending confirmation with functional studies.
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Affiliation(s)
- Augustine Chemparathy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Yi Zeng
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - John Gorzynski
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
- Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Tanner Jensen
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Chengran Yang
- Neurogenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO
| | - Nandita Kasireddy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Lia Talozzi
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Michael E. Belloy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Ilaria Stewart
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Aaron D. Gitler
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Anthony D. Wagner
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Elizabeth Mormino
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Victor W. Henderson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Euan Ashley
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
- Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Carlos Cruchaga
- Neurogenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO
| | - Michael D. Greicius
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
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15
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Latif-Hernandez A, Yang T, Raymond-Butler R, Losada PM, Minhas P, White H, Tran KC, Liu H, Simmons DA, Langness V, Andreasson K, Wyss-Coray T, Longo FM. A TrkB and TrkC partial agonist restores deficits in synaptic function and promotes activity-dependent synaptic and microglial transcriptomic changes in a late-stage Alzheimer's mouse model. bioRxiv 2023:2023.09.18.558138. [PMID: 37781573 PMCID: PMC10541128 DOI: 10.1101/2023.09.18.558138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Introduction TrkB and TrkC receptor signaling promotes synaptic plasticity and interacts with pathways affected by amyloid-β (Aβ)-toxicity. Upregulating TrkB/C signaling could reduce Alzheimer's disease (AD)-related degenerative signaling, memory loss, and synaptic dysfunction. Methods PTX-BD10-2 (BD10-2), a small molecule TrkB/C receptor partial agonist, was orally administered to aged London/Swedish-APP mutant mice (APP L/S ) and wild-type controls (WT). Effects on memory and hippocampal long-term potentiation (LTP) were assessed using electrophysiology, behavioral studies, immunoblotting, immunofluorescence staining, and RNA-sequencing. Results Memory and LTP deficits in APP L/S mice were attenuated by treatment with BD10-2. BD10-2 prevented aberrant AKT, CaMKII, and GLUA1 phosphorylation, and enhanced activity-dependent recruitment of synaptic proteins. BD10-2 also had potentially favorable effects on LTP-dependent complement pathway and synaptic gene transcription. Conclusions BD10-2 prevented APP L/S /Aβ-associated memory and LTP deficits, reduced abnormalities in synapse-related signaling and activity-dependent transcription of synaptic genes, and bolstered transcriptional changes associated with microglial immune response.
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16
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Hahn O, Foltz AG, Atkins M, Kedir B, Moran-Losada P, Guldner IH, Munson C, Kern F, Pálovics R, Lu N, Zhang H, Kaur A, Hull J, Huguenard JR, Grönke S, Lehallier B, Partridge L, Keller A, Wyss-Coray T. Atlas of the aging mouse brain reveals white matter as vulnerable foci. Cell 2023; 186:4117-4133.e22. [PMID: 37591239 PMCID: PMC10528304 DOI: 10.1016/j.cell.2023.07.027] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 05/17/2023] [Accepted: 07/18/2023] [Indexed: 08/19/2023]
Abstract
Aging is the key risk factor for cognitive decline, yet the molecular changes underlying brain aging remain poorly understood. Here, we conducted spatiotemporal RNA sequencing of the mouse brain, profiling 1,076 samples from 15 regions across 7 ages and 2 rejuvenation interventions. Our analysis identified a brain-wide gene signature of aging in glial cells, which exhibited spatially defined changes in magnitude. By integrating spatial and single-nucleus transcriptomics, we found that glial aging was particularly accelerated in white matter compared with cortical regions, whereas specialized neuronal populations showed region-specific expression changes. Rejuvenation interventions, including young plasma injection and dietary restriction, exhibited distinct effects on gene expression in specific brain regions. Furthermore, we discovered differential gene expression patterns associated with three human neurodegenerative diseases, highlighting the importance of regional aging as a potential modulator of disease. Our findings identify molecular foci of brain aging, providing a foundation to target age-related cognitive decline.
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Affiliation(s)
- Oliver Hahn
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Aulden G Foltz
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Micaiah Atkins
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Blen Kedir
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Patricia Moran-Losada
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Ian H Guldner
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Christy Munson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA; Vilcek Institute of Graduate Biomedical Sciences, NYU Langone Health, New York City, NY, USA
| | - Fabian Kern
- Clinical Bioinformatics, Saarland University, Saarbrücken, Germany; Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz-Centre for Infection Research (HZI), Saarbrücken, Germany
| | - Róbert Pálovics
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Nannan Lu
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Hui Zhang
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Achint Kaur
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Jacob Hull
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - John R Huguenard
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | | | | | - Linda Partridge
- Max Planck Institute for Biology of Ageing, Cologne, Germany; Department of Genetics, Evolution and Environment, Institute of Healthy Ageing, University College London, London, UK
| | - Andreas Keller
- Clinical Bioinformatics, Saarland University, Saarbrücken, Germany; Helmholtz Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz-Centre for Infection Research (HZI), Saarbrücken, Germany
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA; Paul F. Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA; Stanford University, The Phil and Penny Knight Initiative for Brain Resilience, Stanford, CA, USA.
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17
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Tsai AP, Dong C, Lin PBC, Oblak AL, Viana Di Prisco G, Wang N, Hajicek N, Carr AJ, Lendy EK, Hahn O, Atkins M, Foltz AG, Patel J, Xu G, Moutinho M, Sondek J, Zhang Q, Mesecar AD, Liu Y, Atwood BK, Wyss-Coray T, Nho K, Bissel SJ, Lamb BT, Landreth GE. Genetic variants of phospholipase C-γ2 alter the phenotype and function of microglia and confer differential risk for Alzheimer's disease. Immunity 2023; 56:2121-2136.e6. [PMID: 37659412 PMCID: PMC10564391 DOI: 10.1016/j.immuni.2023.08.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 06/20/2023] [Accepted: 08/14/2023] [Indexed: 09/04/2023]
Abstract
Genetic association studies have demonstrated the critical involvement of the microglial immune response in Alzheimer's disease (AD) pathogenesis. Phospholipase C-gamma-2 (PLCG2) is selectively expressed by microglia and functions in many immune receptor signaling pathways. In AD, PLCG2 is induced uniquely in plaque-associated microglia. A genetic variant of PLCG2, PLCG2P522R, is a mild hypermorph that attenuates AD risk. Here, we identified a loss-of-function PLCG2 variant, PLCG2M28L, that confers an increased AD risk. PLCG2P522R attenuated disease in an amyloidogenic murine AD model, whereas PLCG2M28L exacerbated the plaque burden associated with altered phagocytosis and Aβ clearance. The variants bidirectionally modulated disease pathology by inducing distinct transcriptional programs that identified microglial subpopulations associated with protective or detrimental phenotypes. These findings identify PLCG2M28L as a potential AD risk variant and demonstrate that PLCG2 variants can differentially orchestrate microglial responses in AD pathogenesis that can be therapeutically targeted.
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Affiliation(s)
- Andy P Tsai
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA; Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Chuanpeng Dong
- Department of Medical and Molecular Genetics, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
| | - Peter Bor-Chian Lin
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Adrian L Oblak
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Radiology & Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Gonzalo Viana Di Prisco
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Pharmacology and Toxicology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Nian Wang
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Radiology & Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Nicole Hajicek
- Department of Pharmacology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Adam J Carr
- Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Emma K Lendy
- Department of Biochemistry, Purdue University, West Lafayette, IN, USA
| | - Oliver Hahn
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Micaiah Atkins
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Aulden G Foltz
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Jheel Patel
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Guixiang Xu
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Miguel Moutinho
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA
| | - John Sondek
- Department of Pharmacology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Qisheng Zhang
- Department of Pharmacology, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Andrew D Mesecar
- Department of Biochemistry, Purdue University, West Lafayette, IN, USA
| | - Yunlong Liu
- Department of Medical and Molecular Genetics, Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Brady K Atwood
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Pharmacology and Toxicology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Tony Wyss-Coray
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Kwangsik Nho
- Department of Radiology & Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Stephanie J Bissel
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bruce T Lamb
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Gary E Landreth
- Stark Neurosciences Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Anatomy, Cell Biology and Physiology, Indiana University School of Medicine, Indianapolis, IN, USA.
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18
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Park C, Hahn O, Gupta S, Moreno AJ, Marino F, Kedir B, Wang D, Villeda SA, Wyss-Coray T, Dubal DB. Platelet factors are induced by longevity factor klotho and enhance cognition in young and aging mice. Nat Aging 2023; 3:1067-1078. [PMID: 37587231 PMCID: PMC10501899 DOI: 10.1038/s43587-023-00468-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 07/13/2023] [Indexed: 08/18/2023]
Abstract
Platelet factors regulate wound healing and can signal from the blood to the brain1,2. However, whether platelet factors modulate cognition, a highly valued and central manifestation of brain function, is unknown. Here we show that systemic platelet factor 4 (PF4) permeates the brain and enhances cognition. We found that, in mice, peripheral administration of klotho, a longevity and cognition-enhancing protein3-7, increased the levels of multiple platelet factors in plasma, including PF4. A pharmacologic intervention that inhibits platelet activation blocked klotho-mediated cognitive enhancement, indicating that klotho may require platelets to enhance cognition. To directly test the effects of platelet factors on the brain, we treated mice with vehicle or systemic PF4. In young mice, PF4 enhanced synaptic plasticity and cognition. In old mice, PF4 decreased cognitive deficits and restored aging-induced increases of select factors associated with cognitive performance in the hippocampus. The effects of klotho on cognition were still present in mice lacking PF4, suggesting this platelet factor is sufficient to enhance cognition but not necessary for the effects of klotho-and that other unidentified factors probably contribute. Augmenting platelet factors, possible messengers of klotho, may enhance cognition in the young brain and decrease cognitive deficits in the aging brain.
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Affiliation(s)
- Cana Park
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Oliver Hahn
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Shweta Gupta
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Arturo J Moreno
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Francesca Marino
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
- Neurosciences Graduate Program, University of California, San Francisco, CA, USA
| | - Blen Kedir
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Dan Wang
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Saul A Villeda
- Department of Anatomy, University of California, San Francisco, CA, USA
- Department of Physical Therapy and Rehabilitation Science, San Francisco, CA, USA
- Eli and Edythe Broad Center for Regeneration Medicine and Stem Cell Research, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- The Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
- Paul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Dena B Dubal
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
- Neurosciences Graduate Program, University of California, San Francisco, CA, USA.
- Biomedical Sciences Graduate Program, University of California, San Francisco, CA, USA.
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
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19
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Haney MS, Pálovics R, Munson CN, Long C, Johansson P, Yip O, Dong W, Rawat E, West E, Schlachetzki JCM, Tsai A, Guldner IH, Lamichhane BS, Smith A, Schaum N, Calcuttawala K, Shin A, Wang YH, Wang C, Koutsodendris N, Serrano GE, Beach TG, Reiman EM, Glass CK, Abu-Remaileh M, Enejder A, Huang Y, Wyss-Coray T. APOE4/4 is linked to damaging lipid droplets in Alzheimer's microglia. bioRxiv 2023:2023.07.21.549930. [PMID: 37546938 PMCID: PMC10401952 DOI: 10.1101/2023.07.21.549930] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
Several genetic risk factors for Alzheimer's Disease (AD) implicate genes involved in lipid metabolism and many of these lipid genes are highly expressed in glial cells. However, the relationship between lipid metabolism in glia and AD pathology remains poorly understood. Through single-nucleus RNA-sequencing of AD brain tissue, we have identified a microglial state defined by the expression of the lipid droplet (LD) associated enzyme ACSL1 with ACSL1-positive microglia most abundant in AD patients with the APOE4/4 genotype. In human iPSC-derived microglia (iMG) fibrillar Aβ (fAβ) induces ACSL1 expression, triglyceride synthesis, and LD accumulation in an APOE-dependent manner. Additionally, conditioned media from LD-containing microglia leads to Tau phosphorylation and neurotoxicity in an APOE-dependent manner. Our findings suggest a link between genetic risk factors for AD with microglial LD accumulation and neurotoxic microglial-derived factors, potentially providing novel therapeutic strategies for AD.
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Affiliation(s)
- Michael S. Haney
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Equal contribution
| | - Róbert Pálovics
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Equal contribution
| | - Christy Nicole Munson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Chris Long
- Department of Materials Science & Engineering Department, Stanford University, Stanford, CA 94305, USA
| | - Patrik Johansson
- Department of Materials Science & Engineering Department, Stanford University, Stanford, CA 94305, USA
| | - Oscar Yip
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, US
| | - Wentao Dong
- The Institute for Chemistry, Engineering & Medicine for Human Health (ChEM-H), Stanford University, Stanford, CA, USA
| | - Eshaan Rawat
- The Institute for Chemistry, Engineering & Medicine for Human Health (ChEM-H), Stanford University, Stanford, CA, USA
| | - Elizabeth West
- Department of Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA 92093, USA
| | - Johannes CM Schlachetzki
- Department of Cellular and Molecular Medicine, University of California, San Diego, San Diego, CA 92093, USA
| | - Andy Tsai
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Ian Hunter Guldner
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Bhawika S. Lamichhane
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Amanda Smith
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Nicholas Schaum
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Kruti Calcuttawala
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Andrew Shin
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Yung-Hua Wang
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, US
| | - Chengzhong Wang
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, US
| | - Nicole Koutsodendris
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, US
- Development and Stem Cell Biology Graduate Program, University of California, San Francisco, US
| | - Geidy E Serrano
- Laboratory of Neuropathology, Banner Sun Health Research Institute, Sun City, AZ, USA
| | - Thomas G Beach
- Banner Alzheimer’s Institute and Arizona Alzheimer’s Consortium, Phoenix, AZ, USA
| | - Eric M Reiman
- Banner Alzheimer’s Institute and Arizona Alzheimer’s Consortium, Phoenix, AZ, USA
| | - Christopher K Glass
- Development and Stem Cell Biology Graduate Program, University of California, San Francisco, US
| | - Monther Abu-Remaileh
- The Institute for Chemistry, Engineering & Medicine for Human Health (ChEM-H), Stanford University, Stanford, CA, USA
| | - Annika Enejder
- Department of Materials Science & Engineering Department, Stanford University, Stanford, CA 94305, USA
| | - Yadong Huang
- Gladstone Institute of Neurological Disease, Gladstone Institutes, San Francisco, CA, US
- Biomedical Sciences Graduate Program, University of California, San Francisco, US
- Development and Stem Cell Biology Graduate Program, University of California, San Francisco, US
- Department of Neurology, University of California, San Francisco, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA
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20
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Sung YJ, Yang C, Norton J, Johnson M, Fagan A, Bateman RJ, Perrin RJ, Morris JC, Farlow MR, Chhatwal JP, Schofield PR, Chui H, Wang F, Novotny B, Eteleeb A, Karch C, Schindler SE, Rhinn H, Johnson EC, Se-Hwee Oh H, Rutledge JE, Dammer EB, Seyfried NT, Wyss-Coray T, Harari O, Cruchaga C. Proteomics of brain, CSF, and plasma identifies molecular signatures for distinguishing sporadic and genetic Alzheimer's disease. Sci Transl Med 2023; 15:eabq5923. [PMID: 37406134 PMCID: PMC10803068 DOI: 10.1126/scitranslmed.abq5923] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 06/13/2023] [Indexed: 07/07/2023]
Abstract
Proteomic studies for Alzheimer's disease (AD) are instrumental in identifying AD pathways but often focus on single tissues and sporadic AD cases. Here, we present a proteomic study analyzing 1305 proteins in brain tissue, cerebrospinal fluid (CSF), and plasma from patients with sporadic AD, TREM2 risk variant carriers, patients with autosomal dominant AD (ADAD), and healthy individuals. We identified 8 brain, 40 CSF, and 9 plasma proteins that were altered in individuals with sporadic AD, and we replicated these findings in several external datasets. We identified a proteomic signature that differentiated TREM2 variant carriers from both individuals with sporadic AD and healthy individuals. The proteins associated with sporadic AD were also altered in patients with ADAD, but with a greater effect size. Brain-derived proteins associated with ADAD were also replicated in additional CSF samples. Enrichment analyses highlighted several pathways, including those implicated in AD (calcineurin and Apo E), Parkinson's disease (α-synuclein and LRRK2), and innate immune responses (SHC1, ERK-1, and SPP1). Our findings suggest that combined proteomics across brain tissue, CSF, and plasma can be used to identify markers for sporadic and genetically defined AD.
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Affiliation(s)
- Yun Ju Sung
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63108, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO 63108, USA
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Chengran Yang
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63108, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Joanne Norton
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63108, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Matt Johnson
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63108, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Anne Fagan
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63108, USA
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63108, USA
| | - Randall J. Bateman
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63108, USA
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63108, USA
| | - Richard J. Perrin
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63108, USA
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63108, USA
- Department of Pathology & Immunology, Washington University School of Medicine, St Louis, MO 63108, USA
| | - John C. Morris
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63108, USA
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63108, USA
- Department of Pathology & Immunology, Washington University School of Medicine, St Louis, MO 63108, USA
| | - Martin R. Farlow
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Jasmeer P. Chhatwal
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Peter R. Schofield
- Neuroscience Research Australia, Randwick, NSW, 2031, Australia
- School of Biomedical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Helena Chui
- Department of Neurology, University of Southern California, Los Angeles, CA 90089, USA
| | - Fengxian Wang
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63108, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Brenna Novotny
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63108, USA
| | - Abdallah Eteleeb
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63108, USA
| | - Celeste Karch
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63108, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Suzanne E. Schindler
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63108, USA
- Department of Neurology, Washington University School of Medicine, St Louis, MO 63108, USA
| | - Herve Rhinn
- Department of Bioinformatics. Alector, Inc. 151 Oyster Point Blvd. #300 South San Francisco CA 94080, USA
| | - Erik C.B. Johnson
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA 30329, USA
| | - Hamilton Se-Hwee Oh
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Jarod Evert Rutledge
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Eric B Dammer
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA 30329, USA
| | - Nicholas T. Seyfried
- Goizueta Alzheimer’s Disease Research Center, Emory University School of Medicine, Atlanta, GA 30329, USA
- Department of Biochemistry, Emory School of Medicine, Atlanta, GA 30329, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Oscar Harari
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63108, USA
| | - Carlos Cruchaga
- Department of Psychiatry, Washington University School of Medicine, St Louis, MO 63108, USA
- NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO 63108, USA
- The Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO 63108, USA
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21
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Cruchaga C, Western D, Timsina J, Wang L, Wang C, Yang C, Ali M, Beric A, Gorijala P, Kohlfeld P, Budde J, Levey A, Morris J, Perrin R, Ruiz A, Marquié M, Boada M, de Rojas I, Rutledge J, Oh H, Wilson E, Guen YL, Alvarez I, Aguilar M, Greicius M, Pastor P, Pulford D, Ibanez L, Wyss-Coray T, Sung YJ, Phillips B. Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and informs causal proteins for Alzheimer's disease. Res Sq 2023:rs.3.rs-2814616. [PMID: 37333337 PMCID: PMC10275048 DOI: 10.21203/rs.3.rs-2814616/v1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
The integration of quantitative trait loci (QTL) with disease genome-wide association studies (GWAS) has proven successful at prioritizing candidate genes at disease-associated loci. QTL mapping has mainly been focused on multi-tissue expression QTL or plasma protein QTL (pQTL). Here we generated the largest-to-date cerebrospinal fluid (CSF) pQTL atlas by analyzing 7,028 proteins in 3,107 samples. We identified 3,373 independent study-wide associations for 1,961 proteins, including 2,448 novel pQTLs of which 1,585 are unique to CSF, demonstrating unique genetic regulation of the CSF proteome. In addition to the established chr6p22.2-21.32 HLA region, we identified pleiotropic regions on chr3q28 near OSTN and chr19q13.32 near APOE that were enriched for neuron-specificity and neurological development. We also integrated this pQTL atlas with the latest Alzheimer's disease (AD) GWAS through PWAS, colocalization and Mendelian Randomization and identified 42 putative causal proteins for AD, 15 of which have drugs available. Finally, we developed a proteomics-based risk score for AD that outperforms genetics-based polygenic risk scores. These findings will be instrumental to further understand the biology and identify causal and druggable proteins for brain and neurological traits.
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Affiliation(s)
| | - Dan Western
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Jigyasha Timsina
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Lihua Wang
- Washington University School of Medicine
| | | | | | | | | | | | - Patsy Kohlfeld
- Washington University School of Medicine, St Louis, MO, USA
| | | | | | | | | | | | | | - Mercè Boada
- Memory Clinic of Fundaciò ACE, Catalan Institute of Applied Neurosciences
| | | | | | | | | | | | - Ignacio Alvarez
- Fundació Docència i Recerca Mútua Terrassa, Terrassa, Barcelona, Spain
| | | | | | - Pau Pastor
- University Hospital Germans Trias i Pujol
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22
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Chou CC, Vest R, Prado MA, Wilson-Grady J, Paulo JA, Shibuya Y, Moran-Losada P, Lee TT, Luo J, Gygi SP, Kelly JW, Finley D, Wernig M, Wyss-Coray T, Frydman J. Proteostasis and lysosomal quality control deficits in Alzheimer's disease neurons. bioRxiv 2023:2023.03.27.534444. [PMID: 37034684 PMCID: PMC10081252 DOI: 10.1101/2023.03.27.534444] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
The role of proteostasis and organelle homeostasis dysfunction in human aging and Alzheimer's disease (AD) remains unclear. Analyzing proteome-wide changes in human donor fibroblasts and their corresponding transdifferentiated neurons (tNeurons), we find aging and AD synergistically impair multiple proteostasis pathways, most notably lysosomal quality control (LQC). In particular, we show that ESCRT-mediated lysosomal repair defects are associated with both sporadic and PSEN1 familial AD. Aging- and AD-linked defects are detected in fibroblasts but highly exacerbated in tNeurons, leading to enhanced neuronal vulnerability, unrepaired lysosomal damage, inflammatory factor secretion and cytotoxicity. Surprisingly, tNeurons from aged and AD donors spontaneously develop amyloid-β inclusions co-localizing with LQC markers, LAMP1/2-positive lysosomes and proteostasis factors; we observe similar inclusions in brain tissue from AD patients and APP-transgenic mice. Importantly, compounds enhancing lysosomal function broadly ameliorate these AD-associated pathologies. Our findings establish cell-autonomous LQC dysfunction in neurons as a central vulnerability in aging and AD pathogenesis.
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23
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Mader MMD, Napole A, Wu D, Shibuya Y, Scavetti A, Foltz A, Atkins M, Hahn O, Yoo Y, Danziger R, Tan C, Wyss-Coray T, Steinman L, Wernig M. Augmentation of a neuroprotective myeloid state by hematopoietic cell transplantation. bioRxiv 2023:2023.03.10.532123. [PMID: 36945385 PMCID: PMC10028976 DOI: 10.1101/2023.03.10.532123] [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] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
Abstract
Multiple sclerosis (MS) is an autoimmune disease associated with inflammatory demyelination in the central nervous system (CNS). Autologous hematopoietic cell transplantation (HCT) is under investigation as a promising therapy for treatment-refractory MS. Here we identify a reactive myeloid state in chronic experimental autoimmune encephalitis (EAE) mice and MS patients that is surprisingly associated with neuroprotection and immune suppression. HCT in EAE mice leads to an enhancement of this myeloid state, as well as clinical improvement, reduction of demyelinated lesions, suppression of cytotoxic T cells, and amelioration of reactive astrogliosis reflected in reduced expression of EAE-associated gene signatures in oligodendrocytes and astrocytes. Further enhancement of myeloid cell incorporation into the CNS following a modified HCT protocol results in an even more consistent therapeutic effect corroborated by additional amplification of HCT-induced transcriptional changes, underlining myeloid-derived beneficial effects in the chronic phase of EAE. Replacement or manipulation of CNS myeloid cells thus represents an intriguing therapeutic direction for inflammatory demyelinating disease.
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Affiliation(s)
- Marius Marc-Daniel Mader
- Institute for Stem Cell Biology and Regenerative Medicine and
Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305,
USA
- Department of Pathology, Stanford University School of Medicine,
Stanford, CA 94305, USA
| | - Alan Napole
- Institute for Stem Cell Biology and Regenerative Medicine and
Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305,
USA
- Department of Pathology, Stanford University School of Medicine,
Stanford, CA 94305, USA
| | - Danwei Wu
- Institute for Stem Cell Biology and Regenerative Medicine and
Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305,
USA
- Department of Pathology, Stanford University School of Medicine,
Stanford, CA 94305, USA
- Department of Neurology and Neurosciences, Division of
Neuroimmunology and Multiple Sclerosis Center, Stanford University of Medicine, Stanford, CA
94305, USA
| | - Yohei Shibuya
- Institute for Stem Cell Biology and Regenerative Medicine and
Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305,
USA
- Department of Pathology, Stanford University School of Medicine,
Stanford, CA 94305, USA
| | - Alexa Scavetti
- Institute for Stem Cell Biology and Regenerative Medicine and
Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305,
USA
- Department of Pathology, Stanford University School of Medicine,
Stanford, CA 94305, USA
| | - Aulden Foltz
- Department of Neurology and Neurological Sciences, Stanford
University School of Medicine, Stanford, CA 94305, USA
- Veterans Administration Palo Alto Healthcare System, Palo Alto,
CA 94304, USA
| | - Micaiah Atkins
- Department of Neurology and Neurological Sciences, Stanford
University School of Medicine, Stanford, CA 94305, USA
- Veterans Administration Palo Alto Healthcare System, Palo Alto,
CA 94304, USA
| | - Oliver Hahn
- Department of Neurology and Neurological Sciences, Stanford
University School of Medicine, Stanford, CA 94305, USA
- Veterans Administration Palo Alto Healthcare System, Palo Alto,
CA 94304, USA
| | - Yongjin Yoo
- Institute for Stem Cell Biology and Regenerative Medicine and
Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305,
USA
- Department of Pathology, Stanford University School of Medicine,
Stanford, CA 94305, USA
| | - Ron Danziger
- Institute for Stem Cell Biology and Regenerative Medicine and
Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305,
USA
- Department of Pathology, Stanford University School of Medicine,
Stanford, CA 94305, USA
| | - Christina Tan
- Institute for Stem Cell Biology and Regenerative Medicine and
Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305,
USA
- Department of Pathology, Stanford University School of Medicine,
Stanford, CA 94305, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford
University School of Medicine, Stanford, CA 94305, USA
- Veterans Administration Palo Alto Healthcare System, Palo Alto,
CA 94304, USA
| | - Lawrence Steinman
- Department of Neurology and Neurosciences, Division of
Neuroimmunology and Multiple Sclerosis Center, Stanford University of Medicine, Stanford, CA
94305, USA
| | - Marius Wernig
- Institute for Stem Cell Biology and Regenerative Medicine and
Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305,
USA
- Department of Pathology, Stanford University School of Medicine,
Stanford, CA 94305, USA
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25
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Duran-Castells C, Llano A, Kawana-Tachikawa A, Prats A, Martinez-Zalacain I, Kobayashi-Ishihara M, Oriol-Tordera B, Peña R, Gálvez C, Silva-Arrieta S, Clotet B, Riveira-Muñoz E, Ballana E, Prado JG, Martinez-Picado J, Sanchez J, Mothe B, Hartigan-O'Connor D, Wyss-Coray T, Meyerhans A, Gisslén M, Price RW, Soriano-Mas C, Muñoz-Moreno JA, Brander C, Ruiz-Riol M. Sirtuin-2, NAD-Dependent Deacetylase, Is a New Potential Therapeutic Target for HIV-1 Infection and HIV-Related Neurological Dysfunction. J Virol 2023; 97:e0165522. [PMID: 36719240 PMCID: PMC9972991 DOI: 10.1128/jvi.01655-22] [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] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 12/20/2022] [Indexed: 02/01/2023] Open
Abstract
The implementation and access to combined antiretroviral treatment (cART) have dramatically improved the quality of life of people living with HIV (PLWH). However, some comorbidities, such as neurological disorders associated with HIV infection still represent a serious clinical challenge. Soluble factors in plasma that are associated with control of HIV replication and neurological dysfunction could serve as early biomarkers and as new therapeutic targets for this comorbidity. We used a customized antibody array for determination of blood plasma factors in 40 untreated PLWH with different levels of viremia and found sirtuin-2 (SIRT2), an NAD-dependent deacetylase, to be strongly associated with elevated viral loads and HIV provirus levels, as well as with markers of neurological damage (a-synuclein [SNCA], brain-derived neurotrophic factor [BDNF], microtubule-associated protein tau [MAPT], and neurofilament light protein [NFL]). Also, longitudinal analysis in HIV-infected individuals with immediate (n = 9) or delayed initiation (n = 10) of cART revealed that after 1 year on cART, SIRT2 plasma levels differed between both groups and correlated inversely with brain orbitofrontal cortex involution. Furthermore, targeting SIRT2 with specific small-molecule inhibitors in in vitro systems using J-LAT A2 and primary glial cells led to diminished HIV replication and virus reactivation from latency. Our data thus identify SIRT2 as a novel biomarker of uncontrolled HIV infection, with potential impact on neurological dysfunction and offers a new therapeutic target for HIV treatment and cure. IMPORTANCE Neurocognitive disorders are frequently reported in people living with HIV (PLWH) even with the introduction of combined antiretroviral treatment (cART). To identify biomarkers and potential therapeutic tools to target HIV infection in peripheral blood and in the central nervous system (CNS), plasma proteomics were applied in untreated chronic HIV-infected individuals with different levels of virus control. High plasma levels of sirtuin-2 (SIRT2), an NAD+ deacetylase, were detected in uncontrolled HIV infection and were strongly associated with plasma viral load and proviral levels. In parallel, SIRT2 levels in the peripheral blood and CNS were associated with markers of neurological damage and brain involution and were more pronounced in individuals who initiated cART later in infection. In vitro infection experiments using specific SIRT2 inhibitors suggest that specific targeting of SIRT2 could offer new therapeutic treatment options for HIV infections and their associated neurological dysfunction.
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Affiliation(s)
- Clara Duran-Castells
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
- Departament de Biologia, Cel·lular, Fisiologia i d'immunologia, Facultat de Medicina, Universitat Autonoma de Barcelona, Cerdanyola del Valles, Spain
| | - Anuska Llano
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Ai Kawana-Tachikawa
- AIDS Research Center, National Institute of Infectious Diseases, Tokyo, Japan
| | - Anna Prats
- Fundació Lluita contra la Sida and Infectious Diseases Department, Hospital Germans Trias i Pujol, Badalona, Spain
| | | | - Mie Kobayashi-Ishihara
- Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, Barcelona, Spain
| | - Bruna Oriol-Tordera
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
- Departament de Biologia, Cel·lular, Fisiologia i d'immunologia, Facultat de Medicina, Universitat Autonoma de Barcelona, Cerdanyola del Valles, Spain
| | - Ruth Peña
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Cristina Gálvez
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Sandra Silva-Arrieta
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Bonaventura Clotet
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
- Fundació Lluita contra la Sida and Infectious Diseases Department, Hospital Germans Trias i Pujol, Badalona, Spain
- Universitat de Vic - Universitat Central de Catalunya (UVic-UCC), Vic, Spain
| | - Eva Riveira-Muñoz
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Esther Ballana
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
| | - Julia G Prado
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
- CIBER Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Javier Martinez-Picado
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
- Universitat de Vic - Universitat Central de Catalunya (UVic-UCC), Vic, Spain
- ICREA, Barcelona, Spain
- CIBER Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Jorge Sanchez
- Centro de Investigaciones Tecnologicas Biomedicas y Medioambientales, CITBM, Lima, Peru
| | - Beatriz Mothe
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
- Fundació Lluita contra la Sida and Infectious Diseases Department, Hospital Germans Trias i Pujol, Badalona, Spain
- Universitat de Vic - Universitat Central de Catalunya (UVic-UCC), Vic, Spain
- CIBER Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Dennis Hartigan-O'Connor
- Department of Medical Microbiology and Immunology, University of California, Davis, California, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
| | - Andreas Meyerhans
- Department of Medicine and Life Sciences (MELIS), Universitat Pompeu Fabra, Barcelona, Spain
- ICREA, Barcelona, Spain
| | - Magnus Gisslén
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Infectious Diseases, Gothenburg, Sweden
| | - Richard W Price
- Department of Neurology, University of California San Francisco, San Francisco, California, USA
| | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge Biomedical Research Institute-IDIBELL, Barcelona, Spain
- Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
- Department of Psychobiology and Methodology in Health Sciences, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
| | - José Antonio Muñoz-Moreno
- Fundació Lluita contra la Sida and Infectious Diseases Department, Hospital Germans Trias i Pujol, Badalona, Spain
- Faculty of Psychology and Education Sciences, Universitat Oberta de Catalunya (UOC), Barcelona, Spain
| | - Christian Brander
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
- Universitat de Vic - Universitat Central de Catalunya (UVic-UCC), Vic, Spain
- ICREA, Barcelona, Spain
- CIBER Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Marta Ruiz-Riol
- IrsiCaixa AIDS Research Institute, Hospital Germans Trias i Pujol, Badalona, Spain
- CIBER Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
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26
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Iram T, Kern F, Kaur A, Myneni S, Morningstar AR, Shin H, Garcia MA, Yerra L, Palovics R, Yang AC, Hahn O, Lu N, Shuken SR, Haney MS, Lehallier B, Iyer M, Luo J, Zetterberg H, Keller A, Zuchero JB, Wyss-Coray T. Author Correction: Young CSF restores oligodendrogenesis and memory in aged mice via Fgf17. Nature 2023; 613:E1. [PMID: 36513761 DOI: 10.1038/s41586-022-05630-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Tal Iram
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA. .,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA.
| | - Fabian Kern
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.,Department of Clinical Bioinformatics, Helmholtz Institute for Pharmaceutical Research Saarland (HIPS)-Helmholtz Centre for Infection Research (HZI), Saarland University Campus, Saarbrücken, Germany
| | - Achint Kaur
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Saket Myneni
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Allison R Morningstar
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Heather Shin
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Miguel A Garcia
- Department of Neurosurgery, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Lakshmi Yerra
- Palo Alto Veterans Institute for Research, Palo Alto, CA, USA
| | - Robert Palovics
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Andrew C Yang
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Oliver Hahn
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Nannan Lu
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Steven R Shuken
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA.,Department of Chemistry, Stanford University, Stanford, CA, USA
| | - Michael S Haney
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Benoit Lehallier
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Manasi Iyer
- Department of Neurosurgery, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Jian Luo
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Palo Alto Veterans Institute for Research, Palo Alto, CA, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Andreas Keller
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.,Department of Clinical Bioinformatics, Helmholtz Institute for Pharmaceutical Research Saarland (HIPS)-Helmholtz Centre for Infection Research (HZI), Saarland University Campus, Saarbrücken, Germany.,Center for Bioinformatics, Saarland Informatics Campus, Saarbrücken, Germany
| | - J Bradley Zuchero
- Department of Neurosurgery, Stanford University School of Medicine, Palo Alto, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA. .,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, CA, USA. .,Paul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA.
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27
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Kern F, Kuhn T, Ludwig N, Simon M, Gröger L, Fabis N, Aparicio-Puerta E, Salhab A, Fehlmann T, Hahn O, Engel A, Wagner V, Koch M, Winek K, Soreq H, Nazarenko I, Fuhrmann G, Wyss-Coray T, Meese E, Keller V, Laschke MW, Keller A. Ageing-associated small RNA cargo of extracellular vesicles. RNA Biol 2023; 20:482-494. [PMID: 37498213 PMCID: PMC10376918 DOI: 10.1080/15476286.2023.2234713] [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] [Journal Information] [Subscribe] [Scholar Register] [Revised: 06/06/2023] [Accepted: 06/09/2023] [Indexed: 07/28/2023] Open
Abstract
Previous work on murine models and humans demonstrated global as well as tissue-specific molecular ageing trajectories of RNAs. Extracellular vesicles (EVs) are membrane vesicles mediating the horizontal transfer of genetic information between different tissues. We sequenced small regulatory RNAs (sncRNAs) in two mouse plasma fractions at five time points across the lifespan from 2-18 months: (1) sncRNAs that are free-circulating (fc-RNA) and (2) sncRNAs bound outside or inside EVs (EV-RNA). Different sncRNA classes exhibit unique ageing patterns that vary between the fcRNA and EV-RNA fractions. While tRNAs showed the highest correlation with ageing in both fractions, rRNAs exhibited inverse correlation trajectories between the EV- and fc-fractions. For miRNAs, the EV-RNA fraction was exceptionally strongly associated with ageing, especially the miR-29 family in adipose tissues. Sequencing of sncRNAs and coding genes in fat tissue of an independent cohort of aged mice up to 27 months highlighted the pivotal role of miR-29a-3p and miR-29b-3p in ageing-related gene regulation that we validated in a third cohort by RT-qPCR.
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Affiliation(s)
- Fabian Kern
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University, Saarbrücken, Germany
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz-Centre for Infection Research (HZI), Department for Clinical Bioinformatics, Saarbrücken, Germany
| | - Thomas Kuhn
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz-Centre for Infection Research (HZI), Biogenic Nanotherapeutics Group (BION), Saarbrücken, Germany
- Department of Pharmacy, Saarland University, Saarbrücken, Germany
| | - Nicole Ludwig
- Department of Human Genetics, Saarland University, Homburg, Germany
- Center for Human and Molecular Biology, Saarland University, Homburg, Germany
| | - Martin Simon
- Molecular Cell Biology and Microbiology, Wuppertal University, Wuppertal, Germany
| | - Laura Gröger
- Department of Human Genetics, Saarland University, Homburg, Germany
| | - Natalie Fabis
- Molecular Cell Biology and Microbiology, Wuppertal University, Wuppertal, Germany
| | - Ernesto Aparicio-Puerta
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University, Saarbrücken, Germany
| | - Abdulrahman Salhab
- Department of Genetics and Epigenetics, Saarland University, Saarbrücken, Germany
| | - Tobias Fehlmann
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University, Saarbrücken, Germany
| | - Oliver Hahn
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, USA
| | - Annika Engel
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University, Saarbrücken, Germany
| | - Viktoria Wagner
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University, Saarbrücken, Germany
| | - Marcus Koch
- INM - Leibniz Institute for New Materials, Saarbrücken, Germany
| | - Katarzyna Winek
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Hermona Soreq
- The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Irina Nazarenko
- Faculty of Medicine, Institute for Infection Prevention and Control; Medical Center - University of Freiburg, Freiburg, Germany
| | - Gregor Fuhrmann
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz-Centre for Infection Research (HZI), Biogenic Nanotherapeutics Group (BION), Saarbrücken, Germany
- Department of Pharmacy, Saarland University, Saarbrücken, Germany
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, USA
| | - Eckart Meese
- Department of Human Genetics, Saarland University, Homburg, Germany
| | - Verena Keller
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University, Saarbrücken, Germany
| | - Matthias W Laschke
- Institute for Clinical and Experimental Surgery, Saarland University, Homburg, Germany
| | - Andreas Keller
- Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University, Saarbrücken, Germany
- Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz-Centre for Infection Research (HZI), Department for Clinical Bioinformatics, Saarbrücken, Germany
- Center for Bioinformatics, Saarland University, Saarbrücken, Germany
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28
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Buckley MT, Sun ED, George BM, Liu L, Schaum N, Xu L, Reyes JM, Goodell MA, Weissman IL, Wyss-Coray T, Rando TA, Brunet A. Cell-type-specific aging clocks to quantify aging and rejuvenation in neurogenic regions of the brain. Nat Aging 2023; 3:121-137. [PMID: 37118510 PMCID: PMC10154228 DOI: 10.1038/s43587-022-00335-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 11/14/2022] [Indexed: 12/24/2022]
Abstract
The diversity of cell types is a challenge for quantifying aging and its reversal. Here we develop 'aging clocks' based on single-cell transcriptomics to characterize cell-type-specific aging and rejuvenation. We generated single-cell transcriptomes from the subventricular zone neurogenic region of 28 mice, tiling ages from young to old. We trained single-cell-based regression models to predict chronological age and biological age (neural stem cell proliferation capacity). These aging clocks are generalizable to independent cohorts of mice, other regions of the brains, and other species. To determine if these aging clocks could quantify transcriptomic rejuvenation, we generated single-cell transcriptomic datasets of neurogenic regions for two interventions-heterochronic parabiosis and exercise. Aging clocks revealed that heterochronic parabiosis and exercise reverse transcriptomic aging in neurogenic regions, but in different ways. This study represents the first development of high-resolution aging clocks from single-cell transcriptomic data and demonstrates their application to quantify transcriptomic rejuvenation.
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Affiliation(s)
- Matthew T Buckley
- Department of Genetics, Stanford University, Stanford, CA, USA
- Genetics Graduate Program, Stanford University, Stanford, CA, USA
| | - Eric D Sun
- Department of Genetics, Stanford University, Stanford, CA, USA
- Biomedical Informatics Graduate Program, Stanford University, Stanford, CA, USA
| | - Benson M George
- Stanford Medical Scientist Training Program, Stanford University, Stanford, CA, USA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA
| | - Ling Liu
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Department of Neurology, UCLA, Los Angeles, CA, USA
| | - Nicholas Schaum
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Lucy Xu
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Jaime M Reyes
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Margaret A Goodell
- Stem Cells and Regenerative Medicine Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA
| | - Irving L Weissman
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA
- Ludwig Center for Cancer Stem Cell Research and Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA
| | - Thomas A Rando
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA
- Neurology Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Neurology, UCLA, Los Angeles, CA, USA
- Broad Stem Cell Research Center, UCLA, Los Angeles, CA, USA
| | - Anne Brunet
- Department of Genetics, Stanford University, Stanford, CA, USA.
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
- Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA.
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29
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Piehl N, van Olst L, Ramakrishnan A, Teregulova V, Simonton B, Zhang Z, Tapp E, Channappa D, Oh H, Losada PM, Rutledge J, Trelle AN, Mormino EC, Elahi F, Galasko DR, Henderson VW, Wagner AD, Wyss-Coray T, Gate D. Cerebrospinal fluid immune dysregulation during healthy brain aging and cognitive impairment. Cell 2022; 185:5028-5039.e13. [PMID: 36516855 PMCID: PMC9815831 DOI: 10.1016/j.cell.2022.11.019] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 09/27/2022] [Accepted: 11/17/2022] [Indexed: 12/15/2022]
Abstract
Cerebrospinal fluid (CSF) contains a tightly regulated immune system. However, knowledge is lacking about how CSF immunity is altered with aging or neurodegenerative disease. Here, we performed single-cell RNA sequencing on CSF from 45 cognitively normal subjects ranging from 54 to 82 years old. We uncovered an upregulation of lipid transport genes in monocytes with age. We then compared this cohort with 14 cognitively impaired subjects. In cognitively impaired subjects, downregulation of lipid transport genes in monocytes occurred concomitantly with altered cytokine signaling to CD8 T cells. Clonal CD8 T effector memory cells upregulated C-X-C motif chemokine receptor 6 (CXCR6) in cognitively impaired subjects. The CXCR6 ligand, C-X-C motif chemokine ligand 16 (CXCL16), was elevated in the CSF of cognitively impaired subjects, suggesting CXCL16-CXCR6 signaling as a mechanism for antigen-specific T cell entry into the brain. Cumulatively, these results reveal cerebrospinal fluid immune dysregulation during healthy brain aging and cognitive impairment.
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Affiliation(s)
- Natalie Piehl
- The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Lynn van Olst
- The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Abhirami Ramakrishnan
- The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Victoria Teregulova
- The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brooke Simonton
- The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Ziyang Zhang
- The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Emma Tapp
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Divya Channappa
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Hamilton Oh
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA; Paul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA; Graduate Program in Stem Cell and Regenerative Medicine, Stanford University, Stanford, CA, USA
| | - Patricia M Losada
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Jarod Rutledge
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA; Paul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA; Department of Genetics, Stanford University, Stanford, CA, USA
| | | | - Elizabeth C Mormino
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA; Department of Psychology, Stanford University, Stanford, CA, USA
| | - Fanny Elahi
- Departments of Neurology and Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, La Jolla, CA, USA
| | - Douglas R Galasko
- Department of Neurosciences, University of California at San Diego, La Jolla, CA, USA
| | - Victor W Henderson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Anthony D Wagner
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA; Department of Psychology, Stanford University, Stanford, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA; Paul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA; The Phil and Penny Initiative for Brain Resilience, Stanford University, Stanford, CA, USA; Chemistry, Engineering, and Medicine for Human Health (ChEM-H), Stanford University, Stanford, CA, USA
| | - David Gate
- The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
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30
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Abstract
Age is the key risk factor for diseases and disabilities of the elderly. Efforts to tackle age-related diseases and increase healthspan have suggested targeting the ageing process itself to 'rejuvenate' physiological functioning. However, achieving this aim requires measures of biological age and rates of ageing at the molecular level. Spurred by recent advances in high-throughput omics technologies, a new generation of tools to measure biological ageing now enables the quantitative characterization of ageing at molecular resolution. Epigenomic, transcriptomic, proteomic and metabolomic data can be harnessed with machine learning to build 'ageing clocks' with demonstrated capacity to identify new biomarkers of biological ageing.
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Affiliation(s)
- Jarod Rutledge
- Department of Genetics, Stanford University, Stanford, CA, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Paul F. Glenn Center for the Biology of Ageing, Stanford University School of Medicine, Stanford, CA, USA
| | - Hamilton Oh
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Paul F. Glenn Center for the Biology of Ageing, Stanford University School of Medicine, Stanford, CA, USA
- Graduate Program in Stem Cell and Regenerative Medicine, Stanford University, Stanford, CA, USA
| | - Tony Wyss-Coray
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
- Paul F. Glenn Center for the Biology of Ageing, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
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31
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Argouarch AR, Schultz N, Yang AC, Jang Y, Garcia K, Cosme CG, Corrales CI, Nana AL, Karydas AM, Spina S, Grinberg LT, Miller B, Wyss-Coray T, Abyzov A, Goodarzi H, Seeley WW, Kao AW. Postmortem Human Dura Mater Cells Exhibit Phenotypic, Transcriptomic and Genetic Abnormalities that Impact their Use for Disease Modeling. Stem Cell Rev Rep 2022; 18:3050-3065. [PMID: 35809166 PMCID: PMC9622518 DOI: 10.1007/s12015-022-10416-x] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/19/2022] [Indexed: 11/24/2022]
Abstract
Patient-derived cells hold great promise for precision medicine approaches in human health. Human dermal fibroblasts have been a major source of cells for reprogramming and differentiating into specific cell types for disease modeling. Postmortem human dura mater has been suggested as a primary source of fibroblasts for in vitro modeling of neurodegenerative diseases. Although fibroblast-like cells from human and mouse dura mater have been previously described, their utility for reprogramming and direct differentiation protocols has not been fully established. In this study, cells derived from postmortem dura mater are directly compared to those from dermal biopsies of living subjects. In two instances, we have isolated and compared dermal and dural cell lines from the same subject. Notably, striking differences were observed between cells of dermal and dural origin. Compared to dermal fibroblasts, postmortem dura mater-derived cells demonstrated different morphology, slower growth rates, and a higher rate of karyotype abnormality. Dura mater-derived cells also failed to express fibroblast protein markers. When dermal fibroblasts and dura mater-derived cells from the same subject were compared, they exhibited highly divergent gene expression profiles that suggest dura mater cells originated from a mixed mural lineage. Given their postmortem origin, somatic mutation signatures of dura mater-derived cells were assessed and suggest defective DNA damage repair. This study argues for rigorous karyotyping of postmortem derived cell lines and highlights limitations of postmortem human dura mater-derived cells for modeling normal biology or disease-associated pathobiology.
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Affiliation(s)
- Andrea R. Argouarch
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158 USA
| | - Nina Schultz
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158 USA
| | - Andrew C. Yang
- Department of Neurology and Neurological Sciences, School of Medicine, Stanford University, Stanford, CA 94304 USA
| | - Yeongjun Jang
- Department of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905 USA
| | - Kristle Garcia
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94158 USA
- Department of Urology, University of California San Francisco, San Francisco, CA 94158 USA
| | - Celica G. Cosme
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158 USA
| | - Christian I. Corrales
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158 USA
| | - Alissa L. Nana
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158 USA
| | - Anna M. Karydas
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158 USA
| | - Salvatore Spina
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158 USA
| | - Lea T. Grinberg
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158 USA
- Department of Pathology, University of California San Francisco, San Francisco, CA 94158 USA
| | - Bruce Miller
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158 USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, School of Medicine, Stanford University, Stanford, CA 94304 USA
| | - Alexej Abyzov
- Department of Quantitative Health Sciences, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905 USA
| | - Hani Goodarzi
- Department of Biochemistry and Biophysics, University of California San Francisco, San Francisco, CA 94158 USA
- Department of Urology, University of California San Francisco, San Francisco, CA 94158 USA
| | - William W. Seeley
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158 USA
- Department of Pathology, University of California San Francisco, San Francisco, CA 94158 USA
| | - Aimee W. Kao
- Memory and Aging Center, Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA 94158 USA
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32
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He Z, Liu L, Belloy ME, Le Guen Y, Sossin A, Liu X, Qi X, Ma S, Gyawali PK, Wyss-Coray T, Tang H, Sabatti C, Candès E, Greicius MD, Ionita-Laza I. GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studies. Nat Commun 2022; 13:7209. [PMID: 36418338 PMCID: PMC9684164 DOI: 10.1038/s41467-022-34932-z] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 11/09/2022] [Indexed: 11/27/2022] Open
Abstract
Recent advances in genome sequencing and imputation technologies provide an exciting opportunity to comprehensively study the contribution of genetic variants to complex phenotypes. However, our ability to translate genetic discoveries into mechanistic insights remains limited at this point. In this paper, we propose an efficient knockoff-based method, GhostKnockoff, for genome-wide association studies (GWAS) that leads to improved power and ability to prioritize putative causal variants relative to conventional GWAS approaches. The method requires only Z-scores from conventional GWAS and hence can be easily applied to enhance existing and future studies. The method can also be applied to meta-analysis of multiple GWAS allowing for arbitrary sample overlap. We demonstrate its performance using empirical simulations and two applications: (1) a meta-analysis for Alzheimer's disease comprising nine overlapping large-scale GWAS, whole-exome and whole-genome sequencing studies and (2) analysis of 1403 binary phenotypes from the UK Biobank data in 408,961 samples of European ancestry. Our results demonstrate that GhostKnockoff can identify putatively functional variants with weaker statistical effects that are missed by conventional association tests.
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Affiliation(s)
- Zihuai He
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA. .,Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, 94305, USA.
| | - Linxi Liu
- Department of Statistics, University of Pittsburgh, Pittsburgh, PA, 15260, USA
| | - Michael E Belloy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA.,Institut du Cerveau - Paris Brain Institute - ICM, Paris, 75013, France
| | - Aaron Sossin
- Department of Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA
| | - Xiaoxia Liu
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Xinran Qi
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Shiyang Ma
- Department of Biostatistics, Columbia University, New York, NY, 10032, USA
| | - Prashnna K Gyawali
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Hua Tang
- Department of Genetics, Stanford University, Stanford, CA, 94305, USA
| | - Chiara Sabatti
- Department of Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA
| | - Emmanuel Candès
- Department of Statistics, Stanford University, Stanford, CA, 94305, USA.,Department of Mathematics, Stanford University, Stanford, CA, 94305, USA
| | - Michael D Greicius
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA
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33
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Wilson EN, Young CB, Ramos Benitez J, Swarovski MS, Feinstein I, Vandijck M, Le Guen Y, Kasireddy NM, Shahid M, Corso NK, Wang Q, Kennedy G, Trelle AN, Lind B, Channappa D, Belnap M, Ramirez V, Skylar-Scott I, Younes K, Yutsis MV, Le Bastard N, Quinn JF, van Dyck CH, Nairn A, Fredericks CA, Tian L, Kerchner GA, Montine TJ, Sha SJ, Davidzon G, Henderson VW, Longo FM, Greicius MD, Wagner AD, Wyss-Coray T, Poston KL, Mormino EC, Andreasson KI. Performance of a fully-automated Lumipulse plasma phospho-tau181 assay for Alzheimer's disease. Alzheimers Res Ther 2022; 14:172. [PMID: 36371232 PMCID: PMC9652927 DOI: 10.1186/s13195-022-01116-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 10/31/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND The recent promise of disease-modifying therapies for Alzheimer's disease (AD) has reinforced the need for accurate biomarkers for early disease detection, diagnosis and treatment monitoring. Advances in the development of novel blood-based biomarkers for AD have revealed that plasma levels of tau phosphorylated at various residues are specific and sensitive to AD dementia. However, the currently available tests have shortcomings in access, throughput, and scalability that limit widespread implementation. METHODS We evaluated the diagnostic and prognostic performance of a high-throughput and fully-automated Lumipulse plasma p-tau181 assay for the detection of AD. Plasma from older clinically unimpaired individuals (CU, n = 463) and patients with mild cognitive impairment (MCI, n = 107) or AD dementia (n = 78) were obtained from the longitudinal Stanford University Alzheimer's Disease Research Center (ADRC) and the Stanford Aging and Memory Study (SAMS) cohorts. We evaluated the discriminative accuracy of plasma p-tau181 for clinical AD diagnosis, association with amyloid β peptides and p-tau181 concentrations in CSF, association with amyloid positron emission tomography (PET), and ability to predict longitudinal cognitive and functional change. RESULTS The assay showed robust performance in differentiating AD from control participants (AUC 0.959, CI: 0.912 to 0.990), and was strongly associated with CSF p-tau181, CSF Aβ42/Aβ40 ratio, and amyloid-PET global SUVRs. Associations between plasma p-tau181 with CSF biomarkers were significant when examined separately in Aβ+ and Aβ- groups. Plasma p-tau181 significantly increased over time in CU and AD diagnostic groups. After controlling for clinical diagnosis, age, sex, and education, baseline plasma p-tau181 predicted change in MoCA overall and change in CDR Sum of Boxes in the AD group over follow-up of up to 5 years. CONCLUSIONS This fully-automated and available blood-based biomarker assay therefore may be useful for early detection, diagnosis, prognosis, and treatment monitoring of AD.
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Affiliation(s)
- Edward N. Wilson
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA ,grid.168010.e0000000419368956Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA USA
| | - Christina B. Young
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Javier Ramos Benitez
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Michelle S. Swarovski
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Igor Feinstein
- grid.168010.e0000000419368956Anesthesiology, Perioperative and Pain Medicine, Stanford University, Stanford, CA USA
| | | | - Yann Le Guen
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Nandita M. Kasireddy
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Marian Shahid
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Nicole K. Corso
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Qian Wang
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Gabriel Kennedy
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Alexandra N. Trelle
- grid.168010.e0000000419368956Psychology, Stanford University, Stanford, CA USA
| | - Betty Lind
- grid.410404.50000 0001 0165 2383Neurology, Portland VA Medical Center, Portland, OR USA ,grid.5288.70000 0000 9758 5690Neurology, Oregon Health & Science University, Portland, OR USA
| | - Divya Channappa
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA ,grid.168010.e0000000419368956Pathology, Stanford University, Stanford, CA USA
| | - Malia Belnap
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Veronica Ramirez
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Irina Skylar-Scott
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Kyan Younes
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Maya V. Yutsis
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | | | - Joseph F. Quinn
- grid.410404.50000 0001 0165 2383Neurology, Portland VA Medical Center, Portland, OR USA ,grid.5288.70000 0000 9758 5690Neurology, Oregon Health & Science University, Portland, OR USA
| | | | - Angus Nairn
- grid.47100.320000000419368710Psychiatry, Yale University, New Haven, CT USA
| | - Carolyn A. Fredericks
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Lu Tian
- grid.168010.e0000000419368956Biomedical Data Science, Stanford University, Stanford, CA USA
| | - Geoffrey A. Kerchner
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Thomas J. Montine
- grid.168010.e0000000419368956Pathology, Stanford University, Stanford, CA USA
| | - Sharon J. Sha
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA
| | - Guido Davidzon
- grid.168010.e0000000419368956Radiology, Stanford University, Stanford, CA USA
| | - Victor W. Henderson
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA ,grid.168010.e0000000419368956Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA USA ,grid.168010.e0000000419368956Epidemiology & Population Health, Stanford University, Stanford, CA USA
| | - Frank M. Longo
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA ,grid.168010.e0000000419368956Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA USA
| | - Michael D. Greicius
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA ,grid.168010.e0000000419368956Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA USA
| | - Anthony D. Wagner
- grid.168010.e0000000419368956Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA USA ,grid.168010.e0000000419368956Psychology, Stanford University, Stanford, CA USA
| | - Tony Wyss-Coray
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA ,grid.168010.e0000000419368956Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA USA
| | - Kathleen L. Poston
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA ,grid.168010.e0000000419368956Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA USA
| | - Elizabeth C. Mormino
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA ,grid.168010.e0000000419368956Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA USA
| | - Katrin I. Andreasson
- grid.168010.e0000000419368956Neurology & Neurological Sciences, Stanford University, Stanford, CA USA ,grid.168010.e0000000419368956Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA USA ,grid.499295.a0000 0004 9234 0175Chan Zuckerberg Biohub, San Francisco, CA 94158 USA
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34
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McKay A, Costa EK, Chen J, Hu CK, Chen X, Bedbrook CN, Khondker RC, Thielvoldt M, Priya Singh P, Wyss-Coray T, Brunet A. An automated feeding system for the African killifish reveals the impact of diet on lifespan and allows scalable assessment of associative learning. eLife 2022; 11:e69008. [PMID: 36354233 PMCID: PMC9788828 DOI: 10.7554/elife.69008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 11/09/2022] [Indexed: 11/11/2022] Open
Abstract
The African turquoise killifish is an exciting new vertebrate model for aging studies. A significant challenge for any model organism is the control over its diet in space and time. To address this challenge, we created an automated and networked fish feeding system. Our automated feeder is designed to be open-source, easily transferable, and built from widely available components. Compared to manual feeding, our automated system is highly precise and flexible. As a proof of concept for the feeding flexibility of these automated feeders, we define a favorable regimen for growth and fertility for the African killifish and a dietary restriction regimen where both feeding time and quantity are reduced. We show that this dietary restriction regimen extends lifespan in males (but not in females) and impacts the transcriptomes of killifish livers in a sex-specific manner. Moreover, combining our automated feeding system with a video camera, we establish a quantitative associative learning assay to provide an integrative measure of cognitive performance for the killifish. The ability to precisely control food delivery in the killifish opens new areas to assess lifespan and cognitive behavior dynamics and to screen for dietary interventions and drugs in a scalable manner previously impossible with traditional vertebrate model organisms.
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Affiliation(s)
- Andrew McKay
- Department of Genetics, Stanford UniversityStanfordUnited States
- Biology Graduate Program, Stanford UniversityStanfordUnited States
| | - Emma K Costa
- Department of Neurology and Neurological Sciences, Stanford UniversityStanfordUnited States
- Neurosciences Interdepartmental Program, Stanford University School of MedicineStanfordUnited States
| | - Jingxun Chen
- Department of Genetics, Stanford UniversityStanfordUnited States
| | - Chi-Kuo Hu
- Department of Genetics, Stanford UniversityStanfordUnited States
| | - Xiaoshan Chen
- Department of Genetics, Stanford UniversityStanfordUnited States
| | - Claire N Bedbrook
- Department of Genetics, Stanford UniversityStanfordUnited States
- Department of Bioengineering, Stanford UniversityStanfordUnited States
| | | | | | | | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford UniversityStanfordUnited States
- Glenn Laboratories for the Biology of Aging, Stanford UniversityStanfordUnited States
- Wu Tsai Neurosciences Institute, Stanford UniversityStanfordUnited States
| | - Anne Brunet
- Department of Genetics, Stanford UniversityStanfordUnited States
- Glenn Laboratories for the Biology of Aging, Stanford UniversityStanfordUnited States
- Wu Tsai Neurosciences Institute, Stanford UniversityStanfordUnited States
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35
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Paolicelli RC, Sierra A, Stevens B, Tremblay ME, Aguzzi A, Ajami B, Amit I, Audinat E, Bechmann I, Bennett M, Bennett F, Bessis A, Biber K, Bilbo S, Blurton-Jones M, Boddeke E, Brites D, Brône B, Brown GC, Butovsky O, Carson MJ, Castellano B, Colonna M, Cowley SA, Cunningham C, Davalos D, De Jager PL, de Strooper B, Denes A, Eggen BJL, Eyo U, Galea E, Garel S, Ginhoux F, Glass CK, Gokce O, Gomez-Nicola D, González B, Gordon S, Graeber MB, Greenhalgh AD, Gressens P, Greter M, Gutmann DH, Haass C, Heneka MT, Heppner FL, Hong S, Hume DA, Jung S, Kettenmann H, Kipnis J, Koyama R, Lemke G, Lynch M, Majewska A, Malcangio M, Malm T, Mancuso R, Masuda T, Matteoli M, McColl BW, Miron VE, Molofsky AV, Monje M, Mracsko E, Nadjar A, Neher JJ, Neniskyte U, Neumann H, Noda M, Peng B, Peri F, Perry VH, Popovich PG, Pridans C, Priller J, Prinz M, Ragozzino D, Ransohoff RM, Salter MW, Schaefer A, Schafer DP, Schwartz M, Simons M, Smith CJ, Streit WJ, Tay TL, Tsai LH, Verkhratsky A, von Bernhardi R, Wake H, Wittamer V, Wolf SA, Wu LJ, Wyss-Coray T. Microglia states and nomenclature: A field at its crossroads. Neuron 2022; 110:3458-3483. [PMID: 36327895 PMCID: PMC9999291 DOI: 10.1016/j.neuron.2022.10.020] [Citation(s) in RCA: 399] [Impact Index Per Article: 199.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 08/06/2022] [Accepted: 10/12/2022] [Indexed: 11/06/2022]
Abstract
Microglial research has advanced considerably in recent decades yet has been constrained by a rolling series of dichotomies such as "resting versus activated" and "M1 versus M2." This dualistic classification of good or bad microglia is inconsistent with the wide repertoire of microglial states and functions in development, plasticity, aging, and diseases that were elucidated in recent years. New designations continuously arising in an attempt to describe the different microglial states, notably defined using transcriptomics and proteomics, may easily lead to a misleading, although unintentional, coupling of categories and functions. To address these issues, we assembled a group of multidisciplinary experts to discuss our current understanding of microglial states as a dynamic concept and the importance of addressing microglial function. Here, we provide a conceptual framework and recommendations on the use of microglial nomenclature for researchers, reviewers, and editors, which will serve as the foundations for a future white paper.
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Affiliation(s)
- Rosa C Paolicelli
- Department of Biomedical Sciences, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
| | - Amanda Sierra
- Achucarro Basque Center for Neuroscience, Glial Cell Biology Lab, Leioa, Spain; Department of Neuroscience, University of the Basque Country EHU/UPV, Leioa, Spain; Ikerbasque Foundation, Bilbao, Spain.
| | - Beth Stevens
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Howard Hughes Medical Institute, (HHMI), MD, USA; Boston Children's Hospital, Boston, MA, USA.
| | - Marie-Eve Tremblay
- Centre de recherche du CHU de Québec-Université Laval, Québec City, QC, Canada; Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada; Division of Medical Sciences, University of Victoria, Victoria, BC, Canada; Center for Advanced Materials and Related Technology (CAMTEC), University of Victoria, Victoria, BC, Canada; Department of Biochemistry and Molecular Biology, University of British Columbia, Vancouver, BC, Canada.
| | - Adriano Aguzzi
- Institute of Neuropathology, University of Zurich, Zurich, Switzerland
| | - Bahareh Ajami
- Department of Molecular Microbiology & Immunology, Department of Behavioral and Systems Neuroscience, Oregon Health & Science University School of Medicine, Portland, OR, USA
| | - Ido Amit
- Department of Systems Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Etienne Audinat
- Institut de Génomique Fonctionnelle, Université de Montpellier, CNRS, INSERM, Montpellier, France
| | - Ingo Bechmann
- Institute of Anatomy, University of Leipzig, Leipzig, Germany
| | - Mariko Bennett
- Children's Hospital of Philadelphia, Department of Psychiatry, Department of Pediatrics, Division of Child Neurology, Philadelphia, PA, USA
| | - Frederick Bennett
- Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, PA, USA
| | - Alain Bessis
- École Normale Supérieure, Institut National de la Santé et de la Recherche Médicale, Centre National de la Recherche Scientifique, Paris Sciences et Lettres Research University, Paris, France
| | - Knut Biber
- Neuroscience Discovery, AbbVie Deutschland GmbH, Ludwigshafen, Germany
| | - Staci Bilbo
- Departments of Psychology & Neuroscience, Neurobiology, and Cell Biology, Duke University, Durham, NC, USA
| | - Mathew Blurton-Jones
- Center for the Neurobiology of Learning and Memory, UCI MIND, University of California, Irvine, CA, USA
| | - Erik Boddeke
- Department Biomedical Sciences of Cells & Systems, Section Molecular Neurobiology, University of Groningen, University Medical Center, Groningen, the Netherlands
| | - Dora Brites
- Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal
| | - Bert Brône
- BIOMED Research Institute, University of Hasselt, Hasselt, Belgium
| | - Guy C Brown
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - Oleg Butovsky
- Ann Romney Center for Neurologic Diseases, Department Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Monica J Carson
- Center for Glial-Neuronal Interactions, Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, CA, USA
| | - Bernardo Castellano
- Unidad de Histología Medica, Depto. Biología Celular, Fisiología e Inmunología, Barcelona, Spain; Instituto de Neurociencias, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - Marco Colonna
- Department of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Sally A Cowley
- James and Lillian Martin Centre for Stem Cell Research, Sir William Dunn School of Pathology, University of Oxford, Oxford, UK
| | - Colm Cunningham
- School of Biochemistry & Immunology, Trinity Biomedical Sciences Institute, Trinity College, Dublin, Republic of Ireland; Trinity College Institute of Neuroscience, Trinity College, Dublin, Republic of Ireland
| | - Dimitrios Davalos
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Philip L De Jager
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA; Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Bart de Strooper
- UK Dementia Research Institute at University College London, London, UK; Vlaams Instituut voor Biotechnologie at Katholieke Universiteit Leuven, Leuven, Belgium
| | - Adam Denes
- "Momentum" Laboratory of Neuroimmunology, Institute of Experimental Medicine, Budapest, Hungary
| | - Bart J L Eggen
- Department of Biomedical Sciences of Cells & Systems, section Molecular Neurobiology, University of Groningen, Groningen, the Netherlands; University Medical Center Groningen, Groningen, the Netherlands
| | - Ukpong Eyo
- Department of Neuroscience, Center for Brain Immunology and Glia, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Elena Galea
- Institut de Neurociències and Departament de Bioquímica, Unitat de Bioquímica, Universitat Autònoma de Barcelona, Barcelona, Spain; ICREA, Barcelona, Spain
| | - Sonia Garel
- Institut de Biologie de l'ENS (IBENS), Département de Biologie, École Normale Supérieure, CNRS, INSERM, Paris, France; College de France, Paris, France
| | - Florent Ginhoux
- Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A(∗)STAR), Singapore, Singapore
| | | | - Ozgun Gokce
- Institute for Stroke and Dementia Research, Ludwig Maximillian's University of Munich, Munich, Germany
| | - Diego Gomez-Nicola
- School of Biological Sciences, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Berta González
- Unidad de Histología Medica, Depto. Biología Celular, Fisiología e Inmunología and Instituto de Neurociencias, Universidad Autónoma de Barcelona, Barcelona, Spain
| | - Siamon Gordon
- Chang Gung University, Taoyuan City, Taiwan (ROC); Sir William Dunn School of Pathology, Oxford, UK
| | - Manuel B Graeber
- Ken Parker Brain Tumour Research Laboratories, Brain and Mind Centre, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, Australia
| | - Andrew D Greenhalgh
- Lydia Becker Institute of Immunology and Inflammation, Geoffrey Jefferson Brain Research Centre, Division of Infection, Immunity & Respiratory Medicine, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Pierre Gressens
- Université Paris Cité, Inserm, NeuroDiderot, 75019 Paris, France
| | - Melanie Greter
- Institute of Experimental Immunology, University of Zurich, Zurich, Switzerland
| | - David H Gutmann
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Christian Haass
- Division of Metabolic Biochemistry, Faculty of Medicine, Biomedical Center (BMC), Ludwig-Maximilians-Universität Munchen, Munich, Germany; German Center for Neurodegenerative Diseases (DZNE), Munich, Germany; Munich Cluster for Systems Neurology (SyNergy); Munich, Germany
| | - Michael T Heneka
- Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg
| | - Frank L Heppner
- Department of Neuropathology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Soyon Hong
- UK Dementia Research Institute at University College London, London, UK
| | - David A Hume
- Mater Research Institute-University of Queensland, Brisbane, QLD, Australia
| | - Steffen Jung
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Helmut Kettenmann
- Max-Delbrück Center for Molecular Medicine, Berlin, Germany; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Jonathan Kipnis
- Center for Brain Immunology and Glia (BIG), Department of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO, USA
| | - Ryuta Koyama
- Laboratory of Chemical Pharmacology, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | - Greg Lemke
- MNL-L, The Salk Institute for Biological Studies, La Jolla, CA, USA
| | - Marina Lynch
- Trinity College Institute of Neuroscience, Trinity College, Dublin, Republic of Ireland
| | - Ania Majewska
- Department of Neuroscience, University of Rochester, Rochester, NY, USA
| | - Marzia Malcangio
- Wolfson Centre for Age-Related Diseases, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Tarja Malm
- University of Eastern Finland, Kuopio, Finland
| | - Renzo Mancuso
- Microglia and Inflammation in Neurological Disorders (MIND) Lab, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium; Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Takahiro Masuda
- Department of Molecular and System Pharmacology, Graduate School of Pharmaceutical Sciences, Kyushu University, Japan
| | - Michela Matteoli
- Humanitas University, Department of Biomedical Sciences, Milan, Italy
| | - Barry W McColl
- UK Dementia Research Institute, Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh BioQuarter, Edinburgh, UK
| | - Veronique E Miron
- MRC Centre for Reproductive Health, The Queen's Medical Research Institute, Edinburgh BioQuarter, Edinburgh, UK; UK Dementia Research Institute at the University of Edinburgh, Edinburgh BioQuarter, Edinburgh, UK
| | | | - Michelle Monje
- Howard Hughes Medical Institute, (HHMI), MD, USA; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | | | - Agnes Nadjar
- Neurocentre Magendie, University of Bordeaux, Bordeaux, France; Institut Universitaire de France (IUF), Paris, France
| | - Jonas J Neher
- German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany; Department of Cellular Neurology, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Urte Neniskyte
- VU LSC-EMBL Partnership for Genome Editing Technologies, Life Sciences Center, Vilnius University, Vilnius, Lithuania; Institute of Biosciences, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - Harald Neumann
- Institute of Reconstructive Neurobiology, Medical Faculty and University Hospital of Bonn, University of Bonn, Bonn, Germany
| | - Mami Noda
- Laboratory of Pathophysiology, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan; Institute of Mitochondrial Biology and Medicine of Xi'an Jiaotong University School of Life Science and Technology, Xi'an, China
| | - Bo Peng
- Department of Neurosurgery, Huashan Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
| | - Francesca Peri
- Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland
| | - V Hugh Perry
- UK Dementia Research Institute, University College London, London, UK; School of Biological Sciences, University of Southampton, Southampton, UK
| | - Phillip G Popovich
- Department of Neuroscience, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Clare Pridans
- University of Edinburgh, Centre for Inflammation Research, Edinburgh, UK
| | - Josef Priller
- Department of Psychiatry & Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany; Charité - Universitätsmedizin Berlin and DZNE, Berlin, Germany; University of Edinburgh and UK DRI, Edinburgh, UK
| | - Marco Prinz
- Institute of Neuropathology, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany; Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
| | - Davide Ragozzino
- Department of Physiology and Pharmacology, Sapienza University of Rome, Rome, Italy; Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy
| | | | - Michael W Salter
- Hospital for Sick Children, Toronto, ON, Canada; University of Toronto, Toronto, ON, Canada
| | - Anne Schaefer
- Nash Family Department of Neuroscience, Center for Glial Biology, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Max Planck Institute for Biology of Ageing, Koeln, Germany
| | - Dorothy P Schafer
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Medical School, Worcester, MA, USA
| | - Michal Schwartz
- Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel
| | - Mikael Simons
- Institute of Neuronal Cell Biology, Technical University Munich, German Center for Neurodegenerative Diseases, Munich, Germany
| | - Cody J Smith
- Galvin Life Science Center, University of Notre Dame, Indianapolis, IN, USA
| | - Wolfgang J Streit
- Department of Neuroscience, University of Florida, Gainesville, FL, USA
| | - Tuan Leng Tay
- Faculty of Biology, University of Freiburg, Freiburg, Germany; BrainLinks-BrainTools Centre, University of Freiburg, Freiburg, Germany; Freiburg Institute of Advanced Studies, University of Freiburg, Freiburg, Germany; Department of Biology, Boston University, Boston, MA, USA; Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Li-Huei Tsai
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Alexei Verkhratsky
- Achucarro Basque Center for Neuroscience, Glial Cell Biology Lab, Leioa, Spain; Department of Neuroscience, University of the Basque Country EHU/UPV, Leioa, Spain; Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | | | - Hiroaki Wake
- Department of Anatomy and Molecular Cell Biology, Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Valérie Wittamer
- Institut de Recherche Interdisciplinaire en Biologie Humaine et Moléculaire (IRIBHM), Université Libre de Bruxelles (ULB), Brussels, Belgium; ULB Neuroscience Institute (UNI), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Susanne A Wolf
- Charité Universitätsmedizin, Experimental Ophthalmology and Neuroimmunology, Berlin, Germany
| | - Long-Jun Wu
- Department of Neurology and Department of Immunology, Mayo Clinic, Rochester, MN, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
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Altendorfer B, Unger MS, Poupardin R, Hoog A, Asslaber D, Gratz IK, Mrowetz H, Benedetti A, de Sousa DMB, Greil R, Egle A, Gate D, Wyss-Coray T, Aigner L. Transcriptomic Profiling Identifies CD8 + T Cells in the Brain of Aged and Alzheimer's Disease Transgenic Mice as Tissue-Resident Memory T Cells. J Immunol 2022; 209:1272-1285. [PMID: 36165202 PMCID: PMC9515311 DOI: 10.4049/jimmunol.2100737] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 07/20/2022] [Indexed: 12/13/2022]
Abstract
Peripheral immune cell infiltration into the brain is a prominent feature in aging and various neurodegenerative diseases such as Alzheimer's disease (AD). As AD progresses, CD8+ T cells infiltrate into the brain parenchyma, where they tightly associate with neurons and microglia. The functional properties of CD8+ T cells in the brain are largely unknown. To gain further insights into the putative functions of CD8+ T cells in the brain, we explored and compared the transcriptomic profile of CD8+ T cells isolated from the brain and blood of transgenic AD (APPswe/PSEN1dE9, line 85 [APP-PS1]) and age-matched wild-type (WT) mice. Brain CD8+ T cells of APP-PS1 and WT animals had similar transcriptomic profiles and substantially differed from blood circulating CD8+ T cells. The gene signature of brain CD8+ T cells identified them as tissue-resident memory (Trm) T cells. Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analysis on the significantly upregulated genes revealed overrepresentation of biological processes involved in IFN-β signaling and the response to viral infections. Furthermore, brain CD8+ T cells of APP-PS1 and aged WT mice showed similar differentially regulated genes as brain Trm CD8+ T cells in mouse models with acute virus infection, chronic parasite infection, and tumor growth. In conclusion, our profiling of brain CD8+ T cells suggests that in AD, these cells exhibit similar adaptive immune responses as in other inflammatory diseases of the CNS, potentially opening the door for immunotherapy in AD.
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Affiliation(s)
- Barbara Altendorfer
- Institute of Molecular Regenerative Medicine, Paracelsus Medical University, Salzburg, Austria
- Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Michael Stefan Unger
- Institute of Molecular Regenerative Medicine, Paracelsus Medical University, Salzburg, Austria
- Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Rodolphe Poupardin
- Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, Salzburg, Austria
- Experimental and Clinical Cell Therapy Institute, Paracelsus Medical University, Salzburg, Austria
| | - Anna Hoog
- Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, Salzburg, Austria
- Experimental and Clinical Cell Therapy Institute, Paracelsus Medical University, Salzburg, Austria
| | - Daniela Asslaber
- IIIrd Medical Department with Hematology and Medical Oncology, Oncologic Center, Paracelsus Medical University, Salzburg, Austria
- Salzburg Cancer Research Institute with Laboratory of Immunological and Molecular Cancer Research and Center for Clinical Cancer and Immunology Trials, Salzburg, Austria
- Cancer Cluster Salzburg, Salzburg, Austria
| | - Iris Karina Gratz
- Department of Biosciences, University of Salzburg, Salzburg, Austria
| | - Heike Mrowetz
- Institute of Molecular Regenerative Medicine, Paracelsus Medical University, Salzburg, Austria
- Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Ariane Benedetti
- Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, Salzburg, Austria
- Institute of Experimental Neuroregeneration, Paracelsus Medical University, Salzburg, Austria
| | - Diana Marisa Bessa de Sousa
- Institute of Molecular Regenerative Medicine, Paracelsus Medical University, Salzburg, Austria
- Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, Salzburg, Austria
| | - Richard Greil
- IIIrd Medical Department with Hematology and Medical Oncology, Oncologic Center, Paracelsus Medical University, Salzburg, Austria
- Salzburg Cancer Research Institute with Laboratory of Immunological and Molecular Cancer Research and Center for Clinical Cancer and Immunology Trials, Salzburg, Austria
- Cancer Cluster Salzburg, Salzburg, Austria
| | - Alexander Egle
- IIIrd Medical Department with Hematology and Medical Oncology, Oncologic Center, Paracelsus Medical University, Salzburg, Austria
- Salzburg Cancer Research Institute with Laboratory of Immunological and Molecular Cancer Research and Center for Clinical Cancer and Immunology Trials, Salzburg, Austria
- Cancer Cluster Salzburg, Salzburg, Austria
| | - David Gate
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
- Veterans Administration Palo Alto Healthcare System, Palo Alto, CA; and
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
- Veterans Administration Palo Alto Healthcare System, Palo Alto, CA; and
| | - Ludwig Aigner
- Institute of Molecular Regenerative Medicine, Paracelsus Medical University, Salzburg, Austria;
- Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, Salzburg, Austria
- Austrian Cluster for Tissue Regeneration, Vienna, Austria
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37
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Jiang Y, Zhou X, Wong HY, Ouyang L, Ip FCF, Chau VMN, Lau SF, Wu W, Wong DYK, Seo H, Fu WY, Lai NCH, Chen Y, Chen Y, Tong EPS, Mok VCT, Kwok TCY, Mok KY, Shoai M, Lehallier B, Losada PM, O'Brien E, Porter T, Laws SM, Hardy J, Wyss-Coray T, Masters CL, Fu AKY, Ip NY. An IL1RL1 genetic variant lowers soluble ST2 levels and the risk effects of APOE-ε4 in female patients with Alzheimer's disease. Nat Aging 2022; 2:616-634. [PMID: 37117777 PMCID: PMC10154240 DOI: 10.1038/s43587-022-00241-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 05/23/2022] [Indexed: 04/30/2023]
Abstract
Changes in the levels of circulating proteins are associated with Alzheimer's disease (AD), whereas their pathogenic roles in AD are unclear. Here, we identified soluble ST2 (sST2), a decoy receptor of interleukin-33-ST2 signaling, as a new disease-causing factor in AD. Increased circulating sST2 level is associated with more severe pathological changes in female individuals with AD. Genome-wide association analysis and CRISPR-Cas9 genome editing identified rs1921622 , a genetic variant in an enhancer element of IL1RL1, which downregulates gene and protein levels of sST2. Mendelian randomization analysis using genetic variants, including rs1921622 , demonstrated that decreased sST2 levels lower AD risk and related endophenotypes in females carrying the Apolipoprotein E (APOE)-ε4 genotype; the association is stronger in Chinese than in European-descent populations. Human and mouse transcriptome and immunohistochemical studies showed that rs1921622 /sST2 regulates amyloid-beta (Aβ) pathology through the modulation of microglial activation and Aβ clearance. These findings demonstrate how sST2 level is modulated by a genetic variation and plays a disease-causing role in females with AD.
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Affiliation(s)
- Yuanbing Jiang
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
| | - Xiaopu Zhou
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development; Shenzhen-Hong Kong Institute of Brain Science, HKUST Shenzhen Research Institute, Shenzhen, China
| | - Hiu Yi Wong
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
| | - Li Ouyang
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
| | - Fanny C F Ip
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development; Shenzhen-Hong Kong Institute of Brain Science, HKUST Shenzhen Research Institute, Shenzhen, China
| | - Vicky M N Chau
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
| | - Shun-Fat Lau
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
| | - Wei Wu
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
| | - Daniel Y K Wong
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
| | - Heukjin Seo
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
| | - Wing-Yu Fu
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
| | - Nicole C H Lai
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
| | - Yuewen Chen
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development; Shenzhen-Hong Kong Institute of Brain Science, HKUST Shenzhen Research Institute, Shenzhen, China
- The Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Yu Chen
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development; Shenzhen-Hong Kong Institute of Brain Science, HKUST Shenzhen Research Institute, Shenzhen, China
- The Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen, China
| | - Estella P S Tong
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
| | - Vincent C T Mok
- Gerald Choa Neuroscience Centre, Lui Che Woo Institute of Innovative Medicine, Therese Pei Fong Chow Research Centre for Prevention of Dementia, Division of Neurology, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Timothy C Y Kwok
- Therese Pei Fong Chow Research Centre for Prevention of Dementia, Division of Geriatrics, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Kin Y Mok
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute, University College London, London, UK
| | - Maryam Shoai
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute, University College London, London, UK
| | - Benoit Lehallier
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
- Alkahest Inc, San Carlos, California, USA
| | - Patricia Morán Losada
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California, USA
| | - Eleanor O'Brien
- Centre for Precision Health, Edith Cowan University, Joondalup, Australia
- Collaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
| | - Tenielle Porter
- Centre for Precision Health, Edith Cowan University, Joondalup, Australia
- Collaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Australia
| | - Simon M Laws
- Centre for Precision Health, Edith Cowan University, Joondalup, Australia
- Collaborative Genomics and Translation Group, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia
- School of Pharmacy and Biomedical Sciences, Faculty of Health Sciences, Curtin Health Innovation Research Institute, Curtin University, Bentley, Australia
| | - John Hardy
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- UK Dementia Research Institute, University College London, London, UK
- Institute for Advanced Study, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
| | - Tony Wyss-Coray
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, California, USA
- The Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, California, USA
| | - Colin L Masters
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Australia
| | - Amy K Y Fu
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development; Shenzhen-Hong Kong Institute of Brain Science, HKUST Shenzhen Research Institute, Shenzhen, China
| | - Nancy Y Ip
- Division of Life Science, State Key Laboratory of Molecular Neuroscience, Molecular Neuroscience Center, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China.
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong Science Park, Hong Kong, China.
- Guangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development; Shenzhen-Hong Kong Institute of Brain Science, HKUST Shenzhen Research Institute, Shenzhen, China.
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38
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Shuken SR, Wyss-Coray T. Author Correction: Structural changes in cerebrospinal fluid proteins are associated with brain aging. Nat Aging 2022; 2:679. [PMID: 37253872 DOI: 10.1038/s43587-022-00254-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
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39
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Luo J, Nguyen A, Villeda S, Zhang H, Ding Z, Lindsey D, Bieri G, Castellano JM, Beaupre GS, Wyss-Coray T. Corrigendum: Long-Term Cognitive Impairments and Pathological Alterations in a Mouse Model of Repetitive Mild Traumatic Brain Injury. Front Neurol 2022; 13:730576. [PMID: 35847232 PMCID: PMC9277579 DOI: 10.3389/fneur.2022.730576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 04/25/2022] [Indexed: 11/20/2022] Open
Affiliation(s)
- Jian Luo
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System, Palo Alto, CA, USA
- *Correspondence: Jian Luo
| | - Andy Nguyen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Saul Villeda
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Hui Zhang
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Zhaoqing Ding
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Derek Lindsey
- Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Gregor Bieri
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Joseph M. Castellano
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Gary S. Beaupre
- Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
- Center for Tissue Regeneration, Repair and Restoration, VA Palo Alto Health Care System, Palo Alto, CA, USA
- Tony Wyss-Coray
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40
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Brewer KD, Shi SM, Wyss-Coray T. Unraveling protein dynamics to understand the brain - the next molecular frontier. Mol Neurodegener 2022; 17:45. [PMID: 35717317 PMCID: PMC9206758 DOI: 10.1186/s13024-022-00546-8] [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] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 05/25/2022] [Indexed: 11/29/2022] Open
Abstract
The technological revolution to measure global gene expression at the single-cell level is currently transforming our knowledge of the brain and neurological diseases, leading from a basic understanding of genetic regulators and risk factors to one of more complex gene interactions and biological pathways. Looking ahead, our next challenge will be the reliable measurement and understanding of proteins. We describe in this review how to apply new, powerful methods of protein labeling, tracking, and detection. Recent developments of these methods now enable researchers to uncover protein mechanisms in vivo that may previously have only been hypothesized. These methods are also useful for discovering new biology because how proteins regulate systemic interactions is not well understood in most cases, such as how they travel through the bloodstream to distal targets or cross the blood–brain barrier. Genetic sequencing of DNA and RNA have enabled many great discoveries in the past 20 years, and now, the protein methods described here are creating a more complete picture of how cells to whole organisms function. It is likely that these developments will generate another transformation in biomedical research and our understanding of the brain and will ultimately allow for patient-specific medicine on a protein level.
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Affiliation(s)
- Kyle D Brewer
- ChEM-H, Stanford University, Stanford, CA, USA.,Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Sophia M Shi
- ChEM-H, Stanford University, Stanford, CA, USA.,Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.,Department of Chemistry, Stanford University, Stanford, CA, USA
| | - Tony Wyss-Coray
- ChEM-H, Stanford University, Stanford, CA, USA. .,Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA. .,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA. .,Phil and Penny Knight Initiative for Brain Resilience, Stanford University, Stanford, CA, USA.
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41
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Jones RC, Karkanias J, Krasnow MA, Pisco AO, Quake SR, Salzman J, Yosef N, Bulthaup B, Brown P, Harper W, Hemenez M, Ponnusamy R, Salehi A, Sanagavarapu BA, Spallino E, Aaron KA, Concepcion W, Gardner JM, Kelly B, Neidlinger N, Wang Z, Crasta S, Kolluru S, Morri M, Pisco AO, Tan SY, Travaglini KJ, Xu C, Alcántara-Hernández M, Almanzar N, Antony J, Beyersdorf B, Burhan D, Calcuttawala K, Carter MM, Chan CKF, Chang CA, Chang S, Colville A, Crasta S, Culver RN, Cvijović I, D'Amato G, Ezran C, Galdos FX, Gillich A, Goodyer WR, Hang Y, Hayashi A, Houshdaran S, Huang X, Irwin JC, Jang S, Juanico JV, Kershner AM, Kim S, Kiss B, Kolluru S, Kong W, Kumar ME, Kuo AH, Leylek R, Li B, Loeb GB, Lu WJ, Mantri S, Markovic M, McAlpine PL, de Morree A, Morri M, Mrouj K, Mukherjee S, Muser T, Neuhöfer P, Nguyen TD, Perez K, Phansalkar R, Pisco AO, Puluca N, Qi Z, Rao P, Raquer-McKay H, Schaum N, Scott B, Seddighzadeh B, Segal J, Sen S, Sikandar S, Spencer SP, Steffes LC, Subramaniam VR, Swarup A, Swift M, Travaglini KJ, Van Treuren W, Trimm E, Veizades S, Vijayakumar S, Vo KC, Vorperian SK, Wang W, Weinstein HNW, Winkler J, Wu TTH, Xie J, Yung AR, Zhang Y, Detweiler AM, Mekonen H, Neff NF, Sit RV, Tan M, Yan J, Bean GR, Charu V, Forgó E, Martin BA, Ozawa MG, Silva O, Tan SY, Toland A, Vemuri VNP, Afik S, Awayan K, Botvinnik OB, Byrne A, Chen M, Dehghannasiri R, Detweiler AM, Gayoso A, Granados AA, Li Q, Mahmoudabadi G, McGeever A, de Morree A, Olivieri JE, Park M, Pisco AO, Ravikumar N, Salzman J, Stanley G, Swift M, Tan M, Tan W, Tarashansky AJ, Vanheusden R, Vorperian SK, Wang P, Wang S, Xing G, Xu C, Yosef N, Alcántara-Hernández M, Antony J, Chan CKF, Chang CA, Colville A, Crasta S, Culver R, Dethlefsen L, Ezran C, Gillich A, Hang Y, Ho PY, Irwin JC, Jang S, Kershner AM, Kong W, Kumar ME, Kuo AH, Leylek R, Liu S, Loeb GB, Lu WJ, Maltzman JS, Metzger RJ, de Morree A, Neuhöfer P, Perez K, Phansalkar R, Qi Z, Rao P, Raquer-McKay H, Sasagawa K, Scott B, Sinha R, Song H, Spencer SP, Swarup A, Swift M, Travaglini KJ, Trimm E, Veizades S, Vijayakumar S, Wang B, Wang W, Winkler J, Xie J, Yung AR, Artandi SE, Beachy PA, Clarke MF, Giudice LC, Huang FW, Huang KC, Idoyaga J, Kim SK, Krasnow M, Kuo CS, Nguyen P, Quake SR, Rando TA, Red-Horse K, Reiter J, Relman DA, Sonnenburg JL, Wang B, Wu A, Wu SM, Wyss-Coray T. The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans. Science 2022; 376:eabl4896. [PMID: 35549404 PMCID: PMC9812260 DOI: 10.1126/science.abl4896] [Citation(s) in RCA: 225] [Impact Index Per Article: 112.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Molecular characterization of cell types using single-cell transcriptome sequencing is revolutionizing cell biology and enabling new insights into the physiology of human organs. We created a human reference atlas comprising nearly 500,000 cells from 24 different tissues and organs, many from the same donor. This atlas enabled molecular characterization of more than 400 cell types, their distribution across tissues, and tissue-specific variation in gene expression. Using multiple tissues from a single donor enabled identification of the clonal distribution of T cells between tissues, identification of the tissue-specific mutation rate in B cells, and analysis of the cell cycle state and proliferative potential of shared cell types across tissues. Cell type-specific RNA splicing was discovered and analyzed across tissues within an individual.
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Gupta S, Moreno AJ, Wang D, Leon J, Chen C, Hahn O, Poon Y, Greenberg K, David N, Wyss-Coray T, Raftery D, Promislow DEL, Dubal DB. KL1 Domain of Longevity Factor Klotho Mimics the Metabolome of Cognitive Stimulation and Enhances Cognition in Young and Aging Mice. J Neurosci 2022; 42:4016-4025. [PMID: 35428698 PMCID: PMC9097772 DOI: 10.1523/jneurosci.2458-21.2022] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 03/02/2022] [Accepted: 03/31/2022] [Indexed: 11/22/2022] Open
Abstract
Cognitive deficits are a major biomedical challenge-and engagement of the brain in stimulating tasks improves cognition in aged individuals (Wilson et al., 2002; Gates et al., 2011) and rodents (Aidil-Carvalho et al., 2017), through unknown mechanisms. Whether cognitive stimulation alters specific metabolic pathways in the brain is unknown. Understanding which metabolic processes are involved in cognitive stimulation is important because it could lead to pharmacologic intervention that promotes biological effects of a beneficial behavior, toward the goal of effective medical treatments for cognitive deficits. Here we show using male mice that cognitive stimulation induced metabolic remodeling of the mouse hippocampus, and that pharmacologic treatment with the longevity hormone α-klotho (KL), mediated by its KL1 domain, partially mimicked this alteration. The shared, metabolic signature shared between cognitive stimulation and treatment with KL or KL1 closely correlated with individual mouse cognitive performance, indicating a link between metabolite levels and learning and memory. Importantly, the treatment of mice with KL1, an endogenous circulating factor that more closely mimicked cognitive stimulation than KL, acutely increased synaptic plasticity, a substrate of cognition. KL1 also improved cognition, itself, in young mice and countered deficits in old mice. Our data show that treatments or interventions mimicking the hippocampal metabolome of cognitive stimulation can enhance brain functions. Further, we identify the specific domain by which klotho promotes brain functions, through KL1, a metabolic mimic of cognitive stimulation.SIGNIFICANCE STATEMENT Cognitive deficits are a major biomedical challenge without truly effective pharmacologic treatments. Engaging the brain through cognitive tasks benefits cognition. Mimicking the effects of such beneficial behaviors through pharmacological treatment represents a highly valuable medical approach to treating cognitive deficits. We demonstrate that brain engagement through cognitive stimulation induces metabolic remodeling of the hippocampus that was acutely recapitulated by the longevity factor klotho, mediated by its KL1 domain. Treatment with KL1, a close mimic of cognitive stimulation, enhanced cognition and countered cognitive aging. Our findings shed light on how cognition metabolically alters the brain and provide a plausible therapeutic intervention for mimicking these alterations that, in turn, improves cognition in the young and aging brain.
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Affiliation(s)
- Shweta Gupta
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California 94143-1207
| | - Arturo J Moreno
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California 94143-1207
| | - Dan Wang
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California 94143-1207
| | - Julio Leon
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California 94143-1207
| | - Chen Chen
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California 94143-1207
| | - Oliver Hahn
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California 94305-5101
| | - Yan Poon
- Unity Biotechnology, Inc, South San Francisco 94080
| | | | | | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California 94305-5101
- Veterans Administration Palo Alto Healthcare System, Palo Alto, California 94304-1207
- Paul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, California 94305-5235
- Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California 94305-5235
| | - Daniel Raftery
- Department of Anesthesiology and Pain Medicine, Mitochondria and Metabolism Center, University of Washington, Seattle, Washington 98109-4714
- Fred Hutchinson Cancer Research Center, Seattle, Washington 98109-1024
| | - Daniel E L Promislow
- Department of Lab Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington 98195-7470
- Department of Biology, University of Washington, Seattle, Washington 98195-1800
| | - Dena B Dubal
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California 94143-1207
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43
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Shuken SR, Rutledge J, Iram T, Losada PM, Wilson EN, Andreasson KI, Leib RD, Wyss-Coray T. Limited Proteolysis-Mass Spectrometry Reveals Aging-Associated Changes in Cerebrospinal Fluid Protein Abundances and Structures. Nat Aging 2022; 2:379-388. [PMID: 36741774 PMCID: PMC9893943 DOI: 10.1038/s43587-022-00196-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Cerebrospinal fluid (CSF) proteins and their structures have been implicated repeatedly in aging and neurodegenerative diseases. Limited proteolysis-mass spectrometry (LiP-MS) is a method that enables proteome-wide screening for changes in both protein abundance and structure. To screen for novel aging-associated changes in the CSF proteome, we performed LiP-MS on CSF from young and old mice with a modified analysis pipeline. We found 38 protein groups change in abundance with aging, most dominantly immunoglobulins of the IgM subclass. We discovered six high-confidence candidates that appeared to change in structure with aging, of which Kng1, Itih2, Lp-PLA2, and 14-3-3 proteins have binding partners or proteoforms known previously to change in the brain with Alzheimer's disease. Intriguingly, using orthogonal validation by Western blot we found the LiP-MS hit Cd5l forms a covalent complex with IgM in mouse and human CSF whose abundance increases with aging. SOMAmer probe signals for all six LiP-MS hits in human CSF, especially 14-3-3 proteins, significantly associate with several clinical features relevant to cognitive function and neurodegeneration. Together, our findings show that LiP-MS can uncover age-related structural changes in CSF with relevance to neurodegeneration.
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Affiliation(s)
- Steven R. Shuken
- Department of Chemistry, Stanford University, Stanford, CA, USA.,Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Jarod Rutledge
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.,Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Tal Iram
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Patricia Moran Losada
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Edward N. Wilson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Katrin I. Andreasson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.,Program in Immunology, Stanford University, Stanford, CA, USA
| | - Ryan D. Leib
- Vincent Coates Foundation Mass Spectrometry Laboratory, Stanford University, Stanford, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.,Paul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, California, USA.,To whom correspondence should be addressed:
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44
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Iram T, Kern F, Kaur A, Myneni S, Morningstar AR, Shin H, Garcia MA, Yerra L, Palovics R, Yang AC, Hahn O, Lu N, Shuken SR, Haney MS, Lehallier B, Iyer M, Luo J, Zetterberg H, Keller A, Zuchero JB, Wyss-Coray T. Young CSF restores oligodendrogenesis and memory in aged mice via Fgf17. Nature 2022; 605:509-515. [PMID: 35545674 PMCID: PMC9377328 DOI: 10.1038/s41586-022-04722-0] [Citation(s) in RCA: 87] [Impact Index Per Article: 43.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 04/04/2022] [Indexed: 12/15/2022]
Abstract
Recent understanding of how the systemic environment shapes the brain throughout life has led to numerous intervention strategies to slow brain ageing1-3. Cerebrospinal fluid (CSF) makes up the immediate environment of brain cells, providing them with nourishing compounds4,5. We discovered that infusing young CSF directly into aged brains improves memory function. Unbiased transcriptome analysis of the hippocampus identified oligodendrocytes to be most responsive to this rejuvenated CSF environment. We further showed that young CSF boosts oligodendrocyte progenitor cell (OPC) proliferation and differentiation in the aged hippocampus and in primary OPC cultures. Using SLAMseq to metabolically label nascent mRNA, we identified serum response factor (SRF), a transcription factor that drives actin cytoskeleton rearrangement, as a mediator of OPC proliferation following exposure to young CSF. With age, SRF expression decreases in hippocampal OPCs, and the pathway is induced by acute injection with young CSF. We screened for potential SRF activators in CSF and found that fibroblast growth factor 17 (Fgf17) infusion is sufficient to induce OPC proliferation and long-term memory consolidation in aged mice while Fgf17 blockade impairs cognition in young mice. These findings demonstrate the rejuvenating power of young CSF and identify Fgf17 as a key target to restore oligodendrocyte function in the ageing brain.
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Affiliation(s)
- Tal Iram
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California, USA,Correspondence to or
| | - Fabian Kern
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.,Helmholtz Institute for Pharmaceutical Research Saarland (HIPS) - Helmholtz Centre for Infection Research (HZI), Saarland University Campus E8.1, Saarbrücken, Germany
| | - Achint Kaur
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Saket Myneni
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Allison R. Morningstar
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Heather Shin
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Miguel A. Garcia
- Department of Neurosurgery, Stanford University School of Medicine, Palo Alto, CA 94305, USA
| | - Lakshmi Yerra
- Palo Alto Veterans Institute for Research, Palo Alto, CA 94304
| | - Robert Palovics
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Andrew C. Yang
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Oliver Hahn
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Nannan Lu
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Steven R. Shuken
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California, USA,Department of Chemistry, Stanford University, Stanford, CA, USA
| | - Michael s. Haney
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Benoit Lehallier
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Manasi Iyer
- Department of Neurosurgery, Stanford University School of Medicine, Palo Alto, CA 94305, USA
| | - Jian Luo
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Palo Alto Veterans Institute for Research, Palo Alto, CA 94304
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK; UK Dementia Research Institute at UCL, London, UK
| | - Andreas Keller
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.,Center for Bioinformatics, Saarland Informatics Campus, 66123 Saarbrücken, Germany
| | - J. Bradley Zuchero
- Department of Neurosurgery, Stanford University School of Medicine, Palo Alto, CA 94305, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, California, USA.,Wu Tsai Neurosciences Institute, Stanford University School of Medicine, Stanford, California, USA,Paul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, California, USA.,Correspondence to or
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45
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Shuken SR, Rutledge J, Iram T, Losada PM, Wilson EN, Andreasson KI, Leib RD, Wyss-Coray T. Publisher Correction: Limited proteolysis–mass spectrometry reveals aging-associated changes in cerebrospinal fluid protein abundances and structures. Nat Aging 2022; 2:455. [PMID: 37118077 DOI: 10.1038/s43587-022-00225-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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46
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Shibuya Y, Kumar KK, Mader MMD, Yoo Y, Ayala LA, Zhou M, Mohr MA, Neumayer G, Kumar I, Yamamoto R, Marcoux P, Liou B, Bennett FC, Nakauchi H, Sun Y, Chen X, Heppner FL, Wyss-Coray T, Südhof TC, Wernig M. Treatment of a genetic brain disease by CNS-wide microglia replacement. Sci Transl Med 2022; 14:eabl9945. [PMID: 35294256 PMCID: PMC9618306 DOI: 10.1126/scitranslmed.abl9945] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Hematopoietic cell transplantation after myeloablative conditioning has been used to treat various genetic metabolic syndromes but is largely ineffective in diseases affecting the brain presumably due to poor and variable myeloid cell incorporation into the central nervous system. Here, we developed and characterized a near-complete and homogeneous replacement of microglia with bone marrow cells in mice without the need for genetic manipulation of donor or host. The high chimerism resulted from a competitive advantage of scarce donor cells during microglia repopulation rather than enhanced recruitment from the periphery. Hematopoietic stem cells, but not immediate myeloid or monocyte progenitor cells, contained full microglia replacement potency equivalent to whole bone marrow. To explore its therapeutic potential, we applied microglia replacement to a mouse model for Prosaposin deficiency, which is characterized by a progressive neurodegeneration phenotype. We found a reduction of cerebellar neurodegeneration and gliosis in treated brains, improvement of motor and balance impairment, and life span extension even with treatment started in young adulthood. This proof-of-concept study suggests that efficient microglia replacement may have therapeutic efficacy for a variety of neurological diseases.
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Affiliation(s)
- Yohei Shibuya
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA,Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Kevin K Kumar
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA,Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA 94305, USA,These authors contributed equally
| | - Marius Marc-Daniel Mader
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA,Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA,These authors contributed equally
| | - Yongjin Yoo
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA,Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA,These authors contributed equally
| | - Luis Angel Ayala
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA,Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Mu Zhou
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | | | - Gernot Neumayer
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA,Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ishan Kumar
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA,Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Ryo Yamamoto
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA,Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Paul Marcoux
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA,Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Benjamin Liou
- Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA
| | - F Chris Bennett
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hiromitsu Nakauchi
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA,Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA,Division of Stem Cell Therapy, Distinguished Professor Unit, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan
| | - Ying Sun
- Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH 45229, USA
| | - Xiaoke Chen
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Frank L. Heppner
- Department of Neuropathology, Cluster of Excellence, NeuroCure, Charité - Universitätsmedizin Berlin, 10117 Berlin, Germany,Department of Neuropathology, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany,Cluster of Excellence, NeuroCure, Charitéplatz 1, 10117 Berlin, Germany,Berlin Institute of Health (BIH), 10117 Berlin, Germany,German Center for Neurodegenerative Diseases (DZNE) Berlin, 10117 Berlin, Germany
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA,Veterans Administration Palo Alto Healthcare System, Palo Alto, CA 94304, USA
| | - Thomas C. Südhof
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA,Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Marius Wernig
- Institute for Stem Cell Biology and Regenerative Medicine and Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA,Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA,Lead Contact,Correspondence:
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47
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Yang AC, Vest RT, Kern F, Lee DP, Agam M, Maat CA, Losada PM, Chen MB, Schaum N, Khoury N, Toland A, Calcuttawala K, Shin H, Pálovics R, Shin A, Wang EY, Luo J, Gate D, Schulz-Schaeffer WJ, Chu P, Siegenthaler JA, McNerney MW, Keller A, Wyss-Coray T. A human brain vascular atlas reveals diverse mediators of Alzheimer’s risk. Nature 2022; 603:885-892. [DOI: 10.1038/s41586-021-04369-3] [Citation(s) in RCA: 65] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 12/17/2021] [Indexed: 12/19/2022]
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48
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He Z, Le Guen Y, Liu L, Lee J, Ma S, Yang AC, Liu X, Rutledge J, Losada PM, Song B, Belloy ME, Butler RR, Longo FM, Tang H, Mormino EC, Wyss-Coray T, Greicius MD, Ionita-Laza I. Genome-wide analysis of common and rare variants via multiple knockoffs at biobank scale, with an application to Alzheimer disease genetics. Am J Hum Genet 2021; 108:2336-2353. [PMID: 34767756 PMCID: PMC8715147 DOI: 10.1016/j.ajhg.2021.10.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 10/19/2021] [Indexed: 02/06/2023] Open
Abstract
Knockoff-based methods have become increasingly popular due to their enhanced power for locus discovery and their ability to prioritize putative causal variants in a genome-wide analysis. However, because of the substantial computational cost for generating knockoffs, existing knockoff approaches cannot analyze millions of rare genetic variants in biobank-scale whole-genome sequencing and whole-genome imputed datasets. We propose a scalable knockoff-based method for the analysis of common and rare variants across the genome, KnockoffScreen-AL, that is applicable to biobank-scale studies with hundreds of thousands of samples and millions of genetic variants. The application of KnockoffScreen-AL to the analysis of Alzheimer disease (AD) in 388,051 WG-imputed samples from the UK Biobank resulted in 31 significant loci, including 14 loci that are missed by conventional association tests on these data. We perform replication studies in an independent meta-analysis of clinically diagnosed AD with 94,437 samples, and additionally leverage single-cell RNA-sequencing data with 143,793 single-nucleus transcriptomes from 17 control subjects and AD-affected individuals, and proteomics data from 735 control subjects and affected indviduals with AD and related disorders to validate the genes at these significant loci. These multi-omics analyses show that 79.1% of the proximal genes at these loci and 76.2% of the genes at loci identified only by KnockoffScreen-AL exhibit at least suggestive signal (p < 0.05) in the scRNA-seq or proteomics analyses. We highlight a potentially causal gene in AD progression, EGFR, that shows significant differences in expression and protein levels between AD-affected individuals and healthy control subjects.
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Affiliation(s)
- Zihuai He
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA; Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA 94305, USA.
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA; Institut du Cerveau - Paris Brain Institute - ICM, Paris 75013, France
| | - Linxi Liu
- Department of Statistics, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Justin Lee
- Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Shiyang Ma
- Department of Biostatistics, Columbia University, New York, NY 10032, USA
| | - Andrew C Yang
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Xiaoxia Liu
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Jarod Rutledge
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Patricia Moran Losada
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Bowen Song
- Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, USA
| | - Michael E Belloy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Robert R Butler
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Frank M Longo
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Hua Tang
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Elizabeth C Mormino
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
| | - Michael D Greicius
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA
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49
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Miguel ZD, Khoury N, Betley MJ, Lehallier B, Willoughby D, Olsson N, Yang AC, Hahn O, Lu N, Vest RT, Bonanno LN, Yerra L, Zhang L, Saw NL, Fairchild JK, Lee D, Zhang H, McAlpine PL, Contrepois K, Shamloo M, Elias JE, Rando TA, Wyss-Coray T. Exercise plasma boosts memory and dampens brain inflammation via clusterin. Nature 2021; 600:494-499. [PMID: 34880498 PMCID: PMC9721468 DOI: 10.1038/s41586-021-04183-x] [Citation(s) in RCA: 138] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Accepted: 10/26/2021] [Indexed: 12/20/2022]
Abstract
Physical exercise is generally beneficial to all aspects of human and animal health, slowing cognitive ageing and neurodegeneration1. The cognitive benefits of physical exercise are tied to an increased plasticity and reduced inflammation within the hippocampus2-4, yet little is known about the factors and mechanisms that mediate these effects. Here we show that 'runner plasma', collected from voluntarily running mice and infused into sedentary mice, reduces baseline neuroinflammatory gene expression and experimentally induced brain inflammation. Plasma proteomic analysis revealed a concerted increase in complement cascade inhibitors including clusterin (CLU). Intravenously injected CLU binds to brain endothelial cells and reduces neuroinflammatory gene expression in a mouse model of acute brain inflammation and a mouse model of Alzheimer's disease. Patients with cognitive impairment who participated in structured exercise for 6 months had higher plasma levels of CLU. These findings demonstrate the existence of anti-inflammatory exercise factors that are transferrable, target the cerebrovasculature and benefit the brain, and are present in humans who engage in exercise.
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Affiliation(s)
- Zurine De Miguel
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.,Present address: Psychology Department, California State University, Monterey Bay, CA, USA
| | - Nathalie Khoury
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.,These authors contributed equally: Nathalie Khoury, Michael J. Betley
| | - Michael J. Betley
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Neurosciences Graduate Training Program, Stanford University School of Medicine, Stanford, CA, USA.,These authors contributed equally: Nathalie Khoury, Michael J. Betley
| | - Benoit Lehallier
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.,Present address: Alkahest Inc, San Carlos, CA, USA
| | - Drew Willoughby
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Niclas Olsson
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA.,Present address: Calico Life Sciences, South San Francisco, CA, USA
| | - Andrew C. Yang
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Oliver Hahn
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Nannan Lu
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Ryan T. Vest
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Liana N. Bonanno
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Lakshmi Yerra
- The Veterans Affairs Palo Alto HealthCare System, Palo Alto, CA, USA
| | | | - Nay Lui Saw
- Behavioral and Functional Neuroscience Laboratory, Stanford University School of Medicine, Stanford, CA, USA
| | - J. Kaci Fairchild
- The Veterans Affairs Palo Alto HealthCare System, Palo Alto, CA, USA
| | - Davis Lee
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Hui Zhang
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA.,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
| | - Patrick L. McAlpine
- Otolaryngology Head and Neck Surgery Research Division, Stanford University, Stanford, CA, USA
| | | | - Mehrdad Shamloo
- Behavioral and Functional Neuroscience Laboratory, Stanford University School of Medicine, Stanford, CA, USA
| | - Joshua E. Elias
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA, USA.,Chan Zuckerberg Biohub, Stanford, CA, USA
| | - Thomas A. Rando
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.,Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA.,The Veterans Affairs Palo Alto HealthCare System, Palo Alto, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA. .,Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA, USA. .,Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA.
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Pluvinage JV, Sun J, Claes C, Flynn RA, Haney MS, Iram T, Meng X, Lindemann R, Riley NM, Danhash E, Chadarevian JP, Tapp E, Gate D, Kondapavulur S, Cobos I, Chetty S, Pașca AM, Pașca SP, Berry-Kravis E, Bertozzi CR, Blurton-Jones M, Wyss-Coray T. The CD22-IGF2R interaction is a therapeutic target for microglial lysosome dysfunction in Niemann-Pick type C. Sci Transl Med 2021; 13:eabg2919. [PMID: 34851695 PMCID: PMC9067636 DOI: 10.1126/scitranslmed.abg2919] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Lysosome dysfunction is a shared feature of rare lysosomal storage diseases and common age-related neurodegenerative diseases. Microglia, the brain-resident macrophages, are particularly vulnerable to lysosome dysfunction because of the phagocytic stress of clearing dying neurons, myelin, and debris. CD22 is a negative regulator of microglial homeostasis in the aging mouse brain, and soluble CD22 (sCD22) is increased in the cerebrospinal fluid of patients with Niemann-Pick type C disease (NPC). However, the role of CD22 in the human brain remains unknown. In contrast to previous findings in mice, here, we show that CD22 is expressed by oligodendrocytes in the human brain and binds to sialic acid–dependent ligands on microglia. Using unbiased genetic and proteomic screens, we identify insulin-like growth factor 2 receptor (IGF2R) as the binding partner of sCD22 on human myeloid cells. Targeted truncation of IGF2R revealed that sCD22 docks near critical mannose 6-phosphate–binding domains, where it disrupts lysosomal protein trafficking. Interfering with the sCD22-IGF2R interaction using CD22 blocking antibodies ameliorated lysosome dysfunction in human NPC1 mutant induced pluripotent stem cell–derived microglia-like cells without harming oligodendrocytes in vitro. These findings reinforce the differences between mouse and human microglia and provide a candidate microglia-directed immunotherapeutic to treat NPC.
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Affiliation(s)
- John V. Pluvinage
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Jerry Sun
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Christel Claes
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA 92697, USA
| | - Ryan A. Flynn
- Stem Cell Program, Children’s Hospital Boston, Boston, MA 02115, USA.,Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Michael S. Haney
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Tal Iram
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Xiangling Meng
- Stanford Brain Organogenesis, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Rachel Lindemann
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Nicholas M. Riley
- Department of Chemistry and ChEM-H, Stanford University, Stanford, CA 94305, USA.,Howard Hughes Medical Institute, Stanford University, Stanford, CA 94304, USA
| | - Emma Danhash
- Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, CA 92697, USA
| | - Jean Paul Chadarevian
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA 92697, USA.,Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, CA 92697, USA.,Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA 92697, USA
| | - Emma Tapp
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - David Gate
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Sravani Kondapavulur
- Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Inma Cobos
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94304, USA
| | - Sundari Chetty
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA.,Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Anca M. Pașca
- Division of Neonatology, Department of Pediatrics, Stanford University, Stanford, CA 94304, USA
| | - Sergiu P. Pașca
- Stanford Brain Organogenesis, Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA
| | | | - Carolyn R. Bertozzi
- Department of Chemistry and ChEM-H, Stanford University, Stanford, CA 94305, USA.,Howard Hughes Medical Institute, Stanford University, Stanford, CA 94304, USA
| | - Mathew Blurton-Jones
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA 92697, USA.,Sue and Bill Gross Stem Cell Research Center, University of California, Irvine, Irvine, CA 92697, USA.,Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA 92697, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94304, USA.,Paul F. Glenn Center for the Biology of Aging, Stanford University School of Medicine, Stanford, CA 94304, USA.,Wu Tsai Neurosciences Institute, Stanford, CA, 94305, USA.,Corresponding author:
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