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Coleman CR, Pallos J, Arreola-Bustos A, Wang L, Raftery D, Promislow DEL, Martin I. Natural Variation in Age-Related Dopamine Neuron Degeneration is Glutathione-Dependent and Linked to Life Span. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.12.580013. [PMID: 38405950 PMCID: PMC10888861 DOI: 10.1101/2024.02.12.580013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Aging is the biggest risk factor for Parkinson's disease (PD), suggesting that age-related changes in the brain promote dopamine neuron vulnerability. It is unclear, however, whether aging alone is sufficient to cause significant dopamine neuron loss and if so, how this intersects with PD-related neurodegeneration. Here, through examining a large collection of naturally varying Drosophila strains, we find a strong relationship between life span and age-related dopamine neuron loss. Naturally short-lived strains exhibit a loss of dopamine neurons but not generalized neurodegeneration, while long-lived strains retain dopamine neurons across age. Metabolomic profiling reveals lower glutathione levels in short-lived strains which is associated with elevated levels of reactive oxygen species (ROS), sensitivity to oxidative stress and vulnerability to silencing the familial PD gene parkin . Strikingly, boosting neuronal glutathione levels via glutamate-cysteine ligase (GCL) overexpression is sufficient to normalize ROS levels, extend life span and block dopamine neurons loss in short-lived backgrounds, demonstrating that glutathione deficiencies are central to neurodegenerative phenotypes associated with short longevity. These findings may be relevant to human PD pathogenesis, where glutathione depletion is frequently reported in idiopathic PD patient brain. Building on this evidence, we detect reduced levels of GCL catalytic and modulatory subunits in brain from PD patients harboring the LRRK2 G2019S mutation, implicating possible glutathione deficits in familial LRRK2-linked PD. Our study across Drosophila and human PD systems suggests that glutathione plays an important role in the influence of aging on PD neurodegeneration.
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2
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Na D, Lim DH, Hong JS, Lee HM, Cho D, Yu MS, Shaker B, Ren J, Lee B, Song JG, Oh Y, Lee K, Oh KS, Lee MY, Choi MS, Choi HS, Kim YH, Bui JM, Lee K, Kim HW, Lee YS, Gsponer J. A multi-layered network model identifies Akt1 as a common modulator of neurodegeneration. Mol Syst Biol 2023; 19:e11801. [PMID: 37984409 DOI: 10.15252/msb.202311801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 10/25/2023] [Accepted: 10/27/2023] [Indexed: 11/22/2023] Open
Abstract
The accumulation of misfolded and aggregated proteins is a hallmark of neurodegenerative proteinopathies. Although multiple genetic loci have been associated with specific neurodegenerative diseases (NDs), molecular mechanisms that may have a broader relevance for most or all proteinopathies remain poorly resolved. In this study, we developed a multi-layered network expansion (MLnet) model to predict protein modifiers that are common to a group of diseases and, therefore, may have broader pathophysiological relevance for that group. When applied to the four NDs Alzheimer's disease (AD), Huntington's disease, and spinocerebellar ataxia types 1 and 3, we predicted multiple members of the insulin pathway, including PDK1, Akt1, InR, and sgg (GSK-3β), as common modifiers. We validated these modifiers with the help of four Drosophila ND models. Further evaluation of Akt1 in human cell-based ND models revealed that activation of Akt1 signaling by the small molecule SC79 increased cell viability in all models. Moreover, treatment of AD model mice with SC79 enhanced their long-term memory and ameliorated dysregulated anxiety levels, which are commonly affected in AD patients. These findings validate MLnet as a valuable tool to uncover molecular pathways and proteins involved in the pathophysiology of entire disease groups and identify potential therapeutic targets that have relevance across disease boundaries. MLnet can be used for any group of diseases and is available as a web tool at http://ssbio.cau.ac.kr/software/mlnet.
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Affiliation(s)
- Dokyun Na
- Department of Biomedical Engineering, Chung-Ang University, Seoul, Republic of Korea
| | - Do-Hwan Lim
- College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea
- School of Systems Biomedical Science, Soongsil University, Seoul, Republic of Korea
| | - Jae-Sang Hong
- College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea
- Center for Systems Biology, Massachusetts General Hospital, Boston, MA, USA
| | - Hyang-Mi Lee
- Department of Biomedical Engineering, Chung-Ang University, Seoul, Republic of Korea
| | - Daeahn Cho
- Department of Biomedical Engineering, Chung-Ang University, Seoul, Republic of Korea
| | - Myeong-Sang Yu
- Department of Biomedical Engineering, Chung-Ang University, Seoul, Republic of Korea
| | - Bilal Shaker
- Department of Biomedical Engineering, Chung-Ang University, Seoul, Republic of Korea
| | - Jun Ren
- Department of Biomedical Engineering, Chung-Ang University, Seoul, Republic of Korea
| | - Bomi Lee
- College of Life Sciences, Sejong University, Seoul, Republic of Korea
| | - Jae Gwang Song
- College of Life Sciences, Sejong University, Seoul, Republic of Korea
| | - Yuna Oh
- Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Kyungeun Lee
- Korea Institute of Science and Technology, Seoul, Republic of Korea
| | - Kwang-Seok Oh
- Information-based Drug Research Center, Korea Research Institute of Chemical Technology, Deajeon, Republic of Korea
| | - Mi Young Lee
- Information-based Drug Research Center, Korea Research Institute of Chemical Technology, Deajeon, Republic of Korea
| | - Min-Seok Choi
- College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea
| | - Han Saem Choi
- College of Life Sciences, Sejong University, Seoul, Republic of Korea
| | - Yang-Hee Kim
- College of Life Sciences, Sejong University, Seoul, Republic of Korea
| | - Jennifer M Bui
- Department of Biochemistry and Molecular Biology, Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
| | - Kangseok Lee
- Department of Life Science, Chung-Ang University, Seoul, Republic of Korea
| | - Hyung Wook Kim
- College of Life Sciences, Sejong University, Seoul, Republic of Korea
| | - Young Sik Lee
- College of Life Sciences and Biotechnology, Korea University, Seoul, Republic of Korea
| | - Jörg Gsponer
- Department of Biochemistry and Molecular Biology, Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
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3
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Yang M, Zinkgraf M, Fitzgerald-Cook C, Harrison BR, Putzier A, Promislow DEL, Wang AM. Using Drosophila to identify naturally occurring genetic modifiers of amyloid beta 42- and tau-induced toxicity. G3 (BETHESDA, MD.) 2023; 13:jkad132. [PMID: 37311212 PMCID: PMC10468303 DOI: 10.1093/g3journal/jkad132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 04/15/2023] [Accepted: 05/15/2023] [Indexed: 06/15/2023]
Abstract
Alzheimer's disease is characterized by 2 pathological proteins, amyloid beta 42 and tau. The majority of Alzheimer's disease cases in the population are sporadic and late-onset Alzheimer's disease, which exhibits high levels of heritability. While several genetic risk factors for late-onset Alzheimer's disease have been identified and replicated in independent studies, including the ApoE ε4 allele, the great majority of the heritability of late-onset Alzheimer's disease remains unexplained, likely due to the aggregate effects of a very large number of genes with small effect size, as well as to biases in sample collection and statistical approaches. Here, we present an unbiased forward genetic screen in Drosophila looking for naturally occurring modifiers of amyloid beta 42- and tau-induced ommatidial degeneration. Our results identify 14 significant SNPs, which map to 12 potential genes in 8 unique genomic regions. Our hits that are significant after genome-wide correction identify genes involved in neuronal development, signal transduction, and organismal development. Looking more broadly at suggestive hits (P < 10-5), we see significant enrichment in genes associated with neurogenesis, development, and growth as well as significant enrichment in genes whose orthologs have been identified as significantly or suggestively associated with Alzheimer's disease in human GWAS studies. These latter genes include ones whose orthologs are in close proximity to regions in the human genome that are associated with Alzheimer's disease, but where a causal gene has not been identified. Together, our results illustrate the potential for complementary and convergent evidence provided through multitrait GWAS in Drosophila to supplement and inform human studies, helping to identify the remaining heritability and novel modifiers of complex diseases.
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Affiliation(s)
- Ming Yang
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Matthew Zinkgraf
- Department of Biology, Western Washington University, Bellingham, WA 98225, USA
| | - Cecilia Fitzgerald-Cook
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Benjamin R Harrison
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Alexandra Putzier
- Department of Biology, Western Washington University, Bellingham, WA 98225, USA
| | - Daniel E L Promislow
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA
- Department of Biology, University of Washington, Seattle, WA 98195, USA
| | - Adrienne M Wang
- Department of Biology, Western Washington University, Bellingham, WA 98225, USA
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4
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Ravinther AI, Dewadas HD, Tong SR, Foo CN, Lin YE, Chien CT, Lim YM. Molecular Pathways Involved in LRRK2-Linked Parkinson’s Disease: A Systematic Review. Int J Mol Sci 2022; 23:ijms231911744. [PMID: 36233046 PMCID: PMC9569706 DOI: 10.3390/ijms231911744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/15/2022] [Accepted: 09/20/2022] [Indexed: 11/24/2022] Open
Abstract
Parkinson’s disease is one of the most common neurodegenerative diseases affecting the ageing population, with a prevalence that has doubled over the last 30 years. As the mechanism of the disease is not fully elucidated, the current treatments are unable to effectively prevent neurodegeneration. Studies have found that mutations in Leucine-rich-repeat-kinase 2 (LRRK2) are the most common cause of familial Parkinson’s disease (PD). Moreover, aberrant (higher) LRRK2 kinase activity has an influence in idiopathic PD as well. Hence, the aim of this review is to categorize and synthesize current information related to LRRK2-linked PD and present the factors associated with LRRK2 that can be targeted therapeutically. A systematic review was conducted using the databases PubMed, Medline, SCOPUS, SAGE, and Cochrane (January 2016 to July 2021). Search terms included “Parkinson’s disease”, “mechanism”, “LRRK2”, and synonyms in various combinations. The search yielded a total of 988 abstracts for initial review, 80 of which met the inclusion criteria. Here, we emphasize molecular mechanisms revealed in recent in vivo and in vitro studies. By consolidating the recent updates in the field of LRRK2-linked PD, researchers can further evaluate targets for therapeutic application.
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Affiliation(s)
- Ailyn Irvita Ravinther
- Centre for Cancer Research, M. Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Kajang 43000, Selangor, Malaysia
- Institute of Molecular Biology, Academia Sinica, Taipei 115, Taiwan
| | - Hemaniswarri Dewi Dewadas
- Centre for Biomedical and Nutrition Research, Faculty of Science, Universiti Tunku Abdul Rahman, Kampar 31900, Perak, Malaysia
| | - Shi Ruo Tong
- Centre for Cancer Research, M. Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Kajang 43000, Selangor, Malaysia
| | - Chai Nien Foo
- Centre for Cancer Research, M. Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Kajang 43000, Selangor, Malaysia
- Department of Population Medicine, M. Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Kajang 43000, Selangor, Malaysia
| | - Yu-En Lin
- Institute of Molecular Biology, Academia Sinica, Taipei 115, Taiwan
| | - Cheng-Ting Chien
- Institute of Molecular Biology, Academia Sinica, Taipei 115, Taiwan
| | - Yang Mooi Lim
- Centre for Cancer Research, M. Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Kajang 43000, Selangor, Malaysia
- Department of Pre-Clinical Sciences, M. Kandiah Faculty of Medicine and Health Sciences, Universiti Tunku Abdul Rahman, Kajang 43000, Selangor, Malaysia
- Correspondence:
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5
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Olguín V, Durán A, Las Heras M, Rubilar JC, Cubillos FA, Olguín P, Klein AD. Genetic Background Matters: Population-Based Studies in Model Organisms for Translational Research. Int J Mol Sci 2022; 23:ijms23147570. [PMID: 35886916 PMCID: PMC9316598 DOI: 10.3390/ijms23147570] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/28/2022] [Accepted: 07/04/2022] [Indexed: 02/01/2023] Open
Abstract
We are all similar but a bit different. These differences are partially due to variations in our genomes and are related to the heterogeneity of symptoms and responses to treatments that patients exhibit. Most animal studies are performed in one single strain with one manipulation. However, due to the lack of variability, therapies are not always reproducible when treatments are translated to humans. Panels of already sequenced organisms are valuable tools for mimicking human phenotypic heterogeneities and gene mapping. This review summarizes the current knowledge of mouse, fly, and yeast panels with insightful applications for translational research.
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Affiliation(s)
- Valeria Olguín
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
| | - Anyelo Durán
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
| | - Macarena Las Heras
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
| | - Juan Carlos Rubilar
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
| | - Francisco A. Cubillos
- Departamento de Biología, Santiago, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago 9170022, Chile;
- Millennium Institute for Integrative Biology (iBio), Santiago 7500565, Chile
| | - Patricio Olguín
- Program in Human Genetics, Institute of Biomedical Sciences, Biomedical Neurosciences Institute, Department of Neuroscience, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile;
| | - Andrés D. Klein
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
- Correspondence:
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6
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Palu RAS, Owings KG, Garces JG, Nicol A. A natural genetic variation screen identifies insulin signaling, neuronal communication, and innate immunity as modifiers of hyperglycemia in the absence of Sirt1. G3 (BETHESDA, MD.) 2022; 12:jkac090. [PMID: 35435227 PMCID: PMC9157059 DOI: 10.1093/g3journal/jkac090] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 04/07/2022] [Indexed: 11/13/2022]
Abstract
Variation in the onset, progression, and severity of symptoms associated with metabolic disorders such as diabetes impairs the diagnosis and treatment of at-risk patients. Diabetes symptoms, and patient variation in these symptoms, are attributed to a combination of genetic and environmental factors, but identifying the genes and pathways that modify diabetes in humans has proven difficult. A greater understanding of genetic modifiers and the ways in which they interact with metabolic pathways could improve the ability to predict a patient's risk for severe symptoms, as well as enhance the development of individualized therapeutic approaches. In this study, we use the Drosophila Genetic Reference Panel to identify genetic variation influencing hyperglycemia associated with loss of Sirt1 function. Through analysis of individual candidate functions, physical interaction networks, and gene set enrichment analysis, we identify not only modifiers involved in canonical glucose metabolism and insulin signaling, but also genes important for neuronal signaling and the innate immune response. Furthermore, reducing the expression of several of these candidates suppressed hyperglycemia, making them potential candidate therapeutic targets. These analyses showcase the diverse processes contributing to glucose homeostasis and open up several avenues of future investigation.
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Affiliation(s)
- Rebecca A S Palu
- Department of Biological Sciences, Purdue University-Fort Wayne, Fort Wayne, IN 46818, USA
| | - Katie G Owings
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
| | - John G Garces
- Department of Biological Sciences, Purdue University-Fort Wayne, Fort Wayne, IN 46818, USA
| | - Audrey Nicol
- Department of Biological Sciences, Purdue University-Fort Wayne, Fort Wayne, IN 46818, USA
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7
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Novak G, Kyriakis D, Grzyb K, Bernini M, Rodius S, Dittmar G, Finkbeiner S, Skupin A. Single-cell transcriptomics of human iPSC differentiation dynamics reveal a core molecular network of Parkinson's disease. Commun Biol 2022; 5:49. [PMID: 35027645 PMCID: PMC8758783 DOI: 10.1038/s42003-021-02973-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 12/14/2021] [Indexed: 01/02/2023] Open
Abstract
Parkinson's disease (PD) is the second-most prevalent neurodegenerative disorder, characterized by the loss of dopaminergic neurons (mDA) in the midbrain. The underlying mechanisms are only partly understood and there is no treatment to reverse PD progression. Here, we investigated the disease mechanism using mDA neurons differentiated from human induced pluripotent stem cells (hiPSCs) carrying the ILE368ASN mutation within the PINK1 gene, which is strongly associated with PD. Single-cell RNA sequencing (RNAseq) and gene expression analysis of a PINK1-ILE368ASN and a control cell line identified genes differentially expressed during mDA neuron differentiation. Network analysis revealed that these genes form a core network, members of which interact with all known 19 protein-coding Parkinson's disease-associated genes. This core network encompasses key PD-associated pathways, including ubiquitination, mitochondrial function, protein processing, RNA metabolism, and vesicular transport. Proteomics analysis showed a consistent alteration in proteins of dopamine metabolism, indicating a defect of dopaminergic metabolism in PINK1-ILE368ASN neurons. Our findings suggest the existence of a network onto which pathways associated with PD pathology converge, and offers an inclusive interpretation of the phenotypic heterogeneity of PD.
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Affiliation(s)
- Gabriela Novak
- The Integrative Cell Signalling Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg.
- Luxembourg Institute of Health (LIH), Esch-sur-Alzette, Luxembourg.
- Center for Systems and Therapeutics, the Gladstone Institutes and Departments of Neurology and Physiology, University of California, San Francisco, San Francisco, CA, 94158, USA.
| | - Dimitrios Kyriakis
- The Integrative Cell Signalling Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Kamil Grzyb
- The Integrative Cell Signalling Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Michela Bernini
- The Integrative Cell Signalling Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Sophie Rodius
- Department of Infection and Immunity, Luxembourg Institute of Health, Strassen, Luxembourg
| | - Gunnar Dittmar
- Department of Infection and Immunity, Luxembourg Institute of Health, Strassen, Luxembourg
- Department of Life Sciences and Medicine, University of Luxembourg, Belvaux, Luxembourg
| | - Steven Finkbeiner
- Center for Systems and Therapeutics, the Gladstone Institutes and Departments of Neurology and Physiology, University of California, San Francisco, San Francisco, CA, 94158, USA
| | - Alexander Skupin
- The Integrative Cell Signalling Group, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg.
- University of California San Diego, La Jolla, CA, 92093, USA.
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8
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Watanabe LP, Riddle NC. Exercise-induced changes in climbing performance. ROYAL SOCIETY OPEN SCIENCE 2021; 8:211275. [PMID: 34804578 PMCID: PMC8580468 DOI: 10.1098/rsos.211275] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2021] [Accepted: 10/12/2021] [Indexed: 05/13/2023]
Abstract
Exercise is recommended to promote health and prevent a range of diseases. However, how exercise precipitates these benefits is unclear, nor do we understand why exercise responses differ so widely between individuals. We investigate how climbing ability in Drosophila melanogaster changes in response to an exercise treatment. We find extensive variation in baseline climbing ability and exercise-induced changes ranging from -13% to +20% in climbing ability. Climbing ability, and its exercise-induced change, is sex- and genotype-dependent. GWASs implicate 'cell-cell signalling' genes in the control of climbing ability. We also find that animal activity does not predict climbing ability and that the exercise-induced climbing ability change cannot be predicted from the activity level induced by the exercise treatment. These results provide promising new avenues for further research into the molecular pathways controlling climbing activity and illustrate the complexities involved in trying to predict individual responses to exercise.
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Affiliation(s)
- Louis P. Watanabe
- Department of Biology, The University of Alabama at Birmingham, CH464, 1720 2nd Ave South, Birmingham, AL 35294, US
| | - Nicole C. Riddle
- Department of Biology, The University of Alabama at Birmingham, CH464, 1720 2nd Ave South, Birmingham, AL 35294, US
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9
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Özsoy ED, Yılmaz M, Patlar B, Emecen G, Durmaz E, Magwire MM, Zhou S, Huang W, Anholt RRH, Mackay TFC. Epistasis for head morphology in Drosophila melanogaster. G3 (BETHESDA, MD.) 2021; 11:jkab285. [PMID: 34568933 PMCID: PMC8473977 DOI: 10.1093/g3journal/jkab285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 07/28/2021] [Indexed: 11/12/2022]
Abstract
Epistasis-gene-gene interaction-is common for mutations with large phenotypic effects in humans and model organisms. Epistasis impacts quantitative genetic models of speciation, response to natural and artificial selection, genetic mapping, and personalized medicine. However, the existence and magnitude of epistasis between alleles with small quantitative phenotypic effects are controversial and difficult to assess. Here, we use the Drosophila melanogaster Genetic Reference Panel of sequenced inbred lines to evaluate the magnitude of naturally occurring epistasis modifying the effects of mutations in jing and inv, two transcription factors that have subtle quantitative effects on head morphology as homozygotes. We find significant epistasis for both mutations and performed single marker genome-wide association analyses to map candidate modifier variants and loci affecting head morphology. A subset of these loci was significantly enriched for a known genetic interaction network, and mutations of the candidate epistatic modifier loci also affect head morphology.
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Affiliation(s)
- Ergi D Özsoy
- Department of Biology, Functional and Evolutionary Genetics Laboratory (FEGL), Science Faculty, Hacettepe University, 06800 Beytepe, Ankara, Turkey
| | - Murat Yılmaz
- Department of Biology, Functional and Evolutionary Genetics Laboratory (FEGL), Science Faculty, Hacettepe University, 06800 Beytepe, Ankara, Turkey
| | - Bahar Patlar
- Department of Biology, Functional and Evolutionary Genetics Laboratory (FEGL), Science Faculty, Hacettepe University, 06800 Beytepe, Ankara, Turkey
| | - Güzin Emecen
- Department of Biology, Functional and Evolutionary Genetics Laboratory (FEGL), Science Faculty, Hacettepe University, 06800 Beytepe, Ankara, Turkey
| | - Esra Durmaz
- Department of Biology, Functional and Evolutionary Genetics Laboratory (FEGL), Science Faculty, Hacettepe University, 06800 Beytepe, Ankara, Turkey
| | - Michael M Magwire
- Department of Animal Science, Michigan State University, East Lansing, MI 48824, USA
| | - Shanshan Zhou
- Department of Animal Science, Michigan State University, East Lansing, MI 48824, USA
| | - Wen Huang
- Department of Animal Science, Michigan State University, East Lansing, MI 48824, USA
| | - Robert R H Anholt
- Department of Genetics, North Carolina State University, Raleigh, NC 27695-7614, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27695-7614, USA
| | - Trudy F C Mackay
- Department of Genetics, North Carolina State University, Raleigh, NC 27695-7614, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27695-7614, USA
- Department of Genetics and Biochemistry, Center for Human Genetics, Clemson University, Greenwood, SC 29646, USA
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10
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Salim S, Banu A, Alwa A, Gowda SBM, Mohammad F. The gut-microbiota-brain axis in autism: what Drosophila models can offer? J Neurodev Disord 2021; 13:37. [PMID: 34525941 PMCID: PMC8442445 DOI: 10.1186/s11689-021-09378-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 08/06/2021] [Indexed: 12/28/2022] Open
Abstract
The idea that alterations in gut-microbiome-brain axis (GUMBA)-mediated communication play a crucial role in human brain disorders like autism remains a topic of intensive research in various labs. Gastrointestinal issues are a common comorbidity in patients with autism spectrum disorder (ASD). Although gut microbiome and microbial metabolites have been implicated in the etiology of ASD, the underlying molecular mechanism remains largely unknown. In this review, we have summarized recent findings in human and animal models highlighting the role of the gut-brain axis in ASD. We have discussed genetic and neurobehavioral characteristics of Drosophila as an animal model to study the role of GUMBA in ASD. The utility of Drosophila fruit flies as an amenable genetic tool, combined with axenic and gnotobiotic approaches, and availability of transgenic flies may reveal mechanistic insight into gut-microbiota-brain interactions and the impact of its alteration on behaviors relevant to neurological disorders like ASD.
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Affiliation(s)
- Safa Salim
- Division of Biological and Biomedical Sciences (BBS), College of Health & Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, 34110, Qatar
| | - Ayesha Banu
- Division of Biological and Biomedical Sciences (BBS), College of Health & Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, 34110, Qatar
| | - Amira Alwa
- Division of Biological and Biomedical Sciences (BBS), College of Health & Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, 34110, Qatar
| | - Swetha B M Gowda
- Division of Biological and Biomedical Sciences (BBS), College of Health & Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, 34110, Qatar
| | - Farhan Mohammad
- Division of Biological and Biomedical Sciences (BBS), College of Health & Life Sciences (CHLS), Hamad Bin Khalifa University (HBKU), Doha, 34110, Qatar.
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11
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Guzman RM, Howard ZP, Liu Z, Oliveira RD, Massa AT, Omsland A, White SN, Goodman AG. Natural genetic variation in Drosophila melanogaster reveals genes associated with Coxiella burnetii infection. Genetics 2021; 217:6117219. [PMID: 33789347 PMCID: PMC8045698 DOI: 10.1093/genetics/iyab005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 01/07/2021] [Indexed: 12/16/2022] Open
Abstract
The gram-negative bacterium Coxiella burnetii is the causative agent of Query (Q) fever in humans and coxiellosis in livestock. Host genetics are associated with C. burnetii pathogenesis both in humans and animals; however, it remains unknown if specific genes are associated with severity of infection. We employed the Drosophila Genetics Reference Panel to perform a genome-wide association study to identify host genetic variants that affect host survival to C. burnetii infection. The genome-wide association study identified 64 unique variants (P < 10−5) associated with 25 candidate genes. We examined the role each candidate gene contributes to host survival during C. burnetii infection using flies carrying a null mutation or RNAi knockdown of each candidate. We validated 15 of the 25 candidate genes using at least one method. This is the first report establishing involvement of many of these genes or their homologs with C. burnetii susceptibility in any system. Among the validated genes, FER and tara play roles in the JAK/STAT, JNK, and decapentaplegic/TGF-β signaling pathways which are components of known innate immune responses to C. burnetii infection. CG42673 and DIP-ε play roles in bacterial infection and synaptic signaling but have no previous association with C. burnetii pathogenesis. Furthermore, since the mammalian ortholog of CG13404 (PLGRKT) is an important regulator of macrophage function, CG13404 could play a role in host susceptibility to C. burnetii through hemocyte regulation. These insights provide a foundation for further investigation regarding the genetics of C. burnetii susceptibility across a wide variety of hosts.
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Affiliation(s)
- Rosa M Guzman
- School of Molecular Biosciences, College of Veterinary Medicine, Washington State University, Pullman, WA 99164, USA
| | - Zachary P Howard
- School of Molecular Biosciences, College of Veterinary Medicine, Washington State University, Pullman, WA 99164, USA
| | - Ziying Liu
- School of Molecular Biosciences, College of Veterinary Medicine, Washington State University, Pullman, WA 99164, USA
| | - Ryan D Oliveira
- Department of Veterinary Microbiology and Pathology, College of Veterinary Medicine, Washington State University, Pullman, WA 99164, USA
| | - Alisha T Massa
- Department of Veterinary Microbiology and Pathology, College of Veterinary Medicine, Washington State University, Pullman, WA 99164, USA
| | - Anders Omsland
- Paul G. Allen School for Global Animal Health, College of Veterinary Medicine, Washington State University, Pullman, WA 99164, USA
| | - Stephen N White
- Department of Veterinary Microbiology and Pathology, College of Veterinary Medicine, Washington State University, Pullman, WA 99164, USA.,USDA-ARS Animal Disease Research, Pullman, WA 99164, USA.,Center for Reproductive Biology, Washington State University, Pullman, WA 99164, USA
| | - Alan G Goodman
- School of Molecular Biosciences, College of Veterinary Medicine, Washington State University, Pullman, WA 99164, USA.,Paul G. Allen School for Global Animal Health, College of Veterinary Medicine, Washington State University, Pullman, WA 99164, USA
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12
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Davis J, Da Silva Santos C, Zavala NC, Gans N, Patracuolla D, Fehrenbach M, Babcock DT. Characterizing dopaminergic neuron vulnerability using Genome-wide analysis. Genetics 2021; 218:6284964. [PMID: 34038543 PMCID: PMC8864742 DOI: 10.1093/genetics/iyab081] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 05/18/2021] [Indexed: 11/26/2022] Open
Abstract
Parkinson’s disease (PD) is primarily characterized by the loss of dopaminergic (DA) neurons in the brain. However, little is known about why DA neurons are selectively vulnerable to PD. To identify genes that are associated with DA neuron loss, we screened through 201 wild-caught populations of Drosophila melanogaster as part of the Drosophila Genetic Reference Panel. Here, we identify the top-associated genes containing single-nucleotide polymorphisms that render DA neurons vulnerable. These genes were further analyzed by using mutant analysis and tissue-specific knockdown for functional validation. We found that this loss of DA neurons caused progressive locomotor dysfunction in mutants and gene knockdown analysis. The identification of genes associated with the progressive loss of DA neurons should help to uncover factors that render these neurons vulnerable in PD, and possibly develop strategies to make these neurons more resilient.
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Affiliation(s)
- Jacinta Davis
- Department of Biological Sciences, Lehigh University, Bethlehem, PA 18015, USA
| | | | | | - Nicholas Gans
- Department of Biological Sciences, Lehigh University, Bethlehem, PA 18015, USA
| | - Daniel Patracuolla
- Department of Biological Sciences, Lehigh University, Bethlehem, PA 18015, USA
| | - Monica Fehrenbach
- Department of Biological Sciences, Lehigh University, Bethlehem, PA 18015, USA
| | - Daniel T Babcock
- Department of Biological Sciences, Lehigh University, Bethlehem, PA 18015, USA
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13
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Spierer AN, Yoon D, Zhu CT, Rand DM. FreeClimber: automated quantification of climbing performance in Drosophila. J Exp Biol 2021; 224:jeb229377. [PMID: 33188065 PMCID: PMC7823161 DOI: 10.1242/jeb.229377] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 11/05/2020] [Indexed: 12/26/2022]
Abstract
Negative geotaxis (climbing) performance is a useful metric for quantifying Drosophila health. Manual methods to quantify climbing performance are tedious and often biased, while many available computational methods have challenging hardware or software requirements. We present an alternative: FreeClimber. This open source, Python-based platform subtracts a video's static background to improve detection for flies moving across heterogeneous backgrounds. FreeClimber calculates a cohort's velocity as the slope of the most linear portion of a mean vertical position versus time curve. It can run from a graphical user interface for optimization or a command line interface for high-throughput and automated batch processing, improving accessibility for users with different expertise. FreeClimber outputs calculated slopes, spot locations for follow-up analyses (e.g. tracking), and several visualizations and plots. We demonstrate FreeClimber's utility in a longitudinal study for endurance exercise performance in Drosophila mitonuclear genotypes using six distinct mitochondrial haplotypes paired with a common D. melanogaster nuclear background.
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Affiliation(s)
- Adam N Spierer
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912, USA
| | - Denise Yoon
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912, USA
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Chen-Tseh Zhu
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912, USA
- Global Plant Breeding, Bayer Crop Science, Chesterfield, MO 63017, USA
| | - David M Rand
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912, USA
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14
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Talsness DM, Owings KG, Coelho E, Mercenne G, Pleinis JM, Partha R, Hope KA, Zuberi AR, Clark NL, Lutz CM, Rodan AR, Chow CY. A Drosophila screen identifies NKCC1 as a modifier of NGLY1 deficiency. eLife 2020; 9:57831. [PMID: 33315011 PMCID: PMC7758059 DOI: 10.7554/elife.57831] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Accepted: 12/12/2020] [Indexed: 12/12/2022] Open
Abstract
N-Glycanase 1 (NGLY1) is a cytoplasmic deglycosylating enzyme. Loss-of-function mutations in the NGLY1 gene cause NGLY1 deficiency, which is characterized by developmental delay, seizures, and a lack of sweat and tears. To model the phenotypic variability observed among patients, we crossed a Drosophila model of NGLY1 deficiency onto a panel of genetically diverse strains. The resulting progeny showed a phenotypic spectrum from 0 to 100% lethality. Association analysis on the lethality phenotype, as well as an evolutionary rate covariation analysis, generated lists of modifying genes, providing insight into NGLY1 function and disease. The top association hit was Ncc69 (human NKCC1/2), a conserved ion transporter. Analyses in NGLY1-/- mouse cells demonstrated that NKCC1 has an altered average molecular weight and reduced function. The misregulation of this ion transporter may explain the observed defects in secretory epithelium function in NGLY1 deficiency patients.
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Affiliation(s)
- Dana M Talsness
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, United States
| | - Katie G Owings
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, United States
| | - Emily Coelho
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, United States
| | - Gaelle Mercenne
- Department of Internal Medicine, Division of Nephrology and Hypertension, and Molecular Medicine Program, University of Utah, Salt Lake City, United States
| | - John M Pleinis
- Department of Internal Medicine, Division of Nephrology and Hypertension, and Molecular Medicine Program, University of Utah, Salt Lake City, United States
| | - Raghavendran Partha
- Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, United States
| | - Kevin A Hope
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, United States
| | - Aamir R Zuberi
- Genetic Resource Science, The Jackson Laboratory, Bar Harbor, United States
| | - Nathan L Clark
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, United States
| | - Cathleen M Lutz
- Genetic Resource Science, The Jackson Laboratory, Bar Harbor, United States
| | - Aylin R Rodan
- Department of Internal Medicine, Division of Nephrology and Hypertension, and Molecular Medicine Program, University of Utah, Salt Lake City, United States.,Medical Service, Veterans Affairs Salt Lake City Health Care System, Salt Lake City, United States
| | - Clement Y Chow
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, United States
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15
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Link N, Bellen HJ. Using Drosophila to drive the diagnosis and understand the mechanisms of rare human diseases. Development 2020; 147:dev191411. [PMID: 32988995 PMCID: PMC7541339 DOI: 10.1242/dev.191411] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Next-generation sequencing has greatly accelerated the discovery of rare human genetic diseases. Nearly 45% of patients have variants associated with known diseases but the unsolved cases remain a conundrum. Moreover, causative mutations can be difficult to pinpoint because variants frequently map to genes with no previous disease associations and, often, only one or a few patients with variants in the same gene are identified. Model organisms, such as Drosophila, can help to identify and characterize these new disease-causing genes. Importantly, Drosophila allow quick and sophisticated genetic manipulations, permit functional testing of human variants, enable the characterization of pathogenic mechanisms and are amenable to drug tests. In this Spotlight, focusing on microcephaly as a case study, we highlight how studies of human genes in Drosophila have aided our understanding of human genetic disorders, allowing the identification of new genes in well-established signaling pathways.
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Affiliation(s)
- Nichole Link
- Howard Hughes Medical Institute, BCM, Houston, TX, 77030, USA
- Department of Molecular and Human Genetics (MHG), BCM, Houston, TX, 77030, USA
- Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, 77030, USA
| | - Hugo J Bellen
- Howard Hughes Medical Institute, BCM, Houston, TX, 77030, USA
- Department of Molecular and Human Genetics (MHG), BCM, Houston, TX, 77030, USA
- Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, 77030, USA
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16
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Insulin Potentiates JAK/STAT Signaling to Broadly Inhibit Flavivirus Replication in Insect Vectors. Cell Rep 2020; 29:1946-1960.e5. [PMID: 31722209 PMCID: PMC6871768 DOI: 10.1016/j.celrep.2019.10.029] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 09/03/2019] [Accepted: 10/08/2019] [Indexed: 12/13/2022] Open
Abstract
The World Health Organization estimates that more than half of the world’s population is at risk for vector-borne diseases, including arboviruses. Because many arboviruses are mosquito borne, investigation of the insect immune response will help identify targets to reduce the spread of arboviruses. Here, we use a genetic screening approach to identify an insulin-like receptor as a component of the immune response to arboviral infection. We determine that vertebrate insulin reduces West Nile virus (WNV) replication in Drosophila melanogaster as well as WNV, Zika, and dengue virus titers in mosquito cells. Mechanistically, we show that insulin signaling activates the JAK/STAT, but not RNAi, pathway via ERK to control infection in Drosophila cells and Culex mosquitoes through an integrated immune response. Finally, we validate that insulin priming of adult female Culex mosquitoes through a blood meal reduces WNV infection, demonstrating an essential role for insulin signaling in insect antiviral responses to human pathogens. The world’s population is at risk for infection with several flaviviruses. Ahlers et al. use a living library of insects to determine that an insulin-like receptor controls West Nile virus infection. Insulin signaling is antiviral via the JAK/STAT pathway in both fly and mosquito models and against a range of flaviviruses.
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17
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Hendrickx DM, Glaab E. Comparative transcriptome analysis of Parkinson's disease and Hutchinson-Gilford progeria syndrome reveals shared susceptible cellular network processes. BMC Med Genomics 2020; 13:114. [PMID: 32811487 PMCID: PMC7437934 DOI: 10.1186/s12920-020-00761-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 08/04/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Parkinson's Disease (PD) and Hutchinson-Gilford Progeria Syndrome (HGPS) are two heterogeneous disorders, which both display molecular and clinical alterations associated with the aging process. However, similarities and differences between molecular changes in these two disorders have not yet been investigated systematically at the level of individual biomolecules and shared molecular network alterations. METHODS Here, we perform a comparative meta-analysis and network analysis of human transcriptomics data from case-control studies for both diseases to investigate common susceptibility genes and sub-networks in PD and HGPS. Alzheimer's disease (AD) and primary melanoma (PM) were included as controls to confirm that the identified overlapping susceptibility genes for PD and HGPS are non-generic. RESULTS We find statistically significant, overlapping genes and cellular processes with significant alterations in both diseases. Interestingly, the majority of these shared affected genes display changes with opposite directionality, indicating that shared susceptible cellular processes undergo different mechanistic changes in PD and HGPS. A complementary regulatory network analysis also reveals that the altered genes in PD and HGPS both contain targets controlled by the upstream regulator CDC5L. CONCLUSIONS Overall, our analyses reveal a significant overlap of affected cellular processes and molecular sub-networks in PD and HGPS, including changes in aging-related processes that may reflect key susceptibility factors associated with age-related risk for PD.
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Affiliation(s)
- Diana M. Hendrickx
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6, avenue du Swing, Belvaux, L- 4367 Luxembourg
| | - Enrico Glaab
- Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 6, avenue du Swing, Belvaux, L- 4367 Luxembourg
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18
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Ma L, Song J, Sun X, Ding W, Fan K, Qi M, Xu Y, Zhang W. Role of microtubule-associated protein 6 glycosylated with Gal-(β-1,3)-GalNAc in Parkinson's disease. Aging (Albany NY) 2020; 11:4597-4610. [PMID: 31289257 PMCID: PMC6660046 DOI: 10.18632/aging.102072] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 06/28/2019] [Indexed: 12/13/2022]
Abstract
Aberrant glycosylation of proteins has major implications for human diseases. To determine whether protein glycosylation contributes to the pathogenesis of Parkinson’s disease (PD), a mouse model of PD was established by injection of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP). Induction of PD-like features was verified by assessing motor impairment and confirming reductions in biological markers, including dopamine, 5-hydroxytryptamine and tyrosine hydroxylase, as well as the aggregation of α-synuclein. Altered glycosylation was detected using biotinylated agaracus bisporus lectin, which specifically binds exposed Gal-(β-1,3)-GalNAc linked to glycoproteins. Subsequent lectin affinity chromatography coupled with mass spectrometry revealed enhanced glycosylation of microtubule-associated protein 6 (MAP6) in PD mice as compared to healthy controls. In situ dual co-immunofluorescence analysis and immunoblotting confirmed that MAP6 is glycosylated with Gal-(β-1,3)-GalNAc oligosaccharides, which in turn alters the distribution and structure of MAP6 complexes within neurons. This is the first study to described MAP6 as a glycoprotein containing Gal-(β-1,3)-GalNAc oligosaccharides and to show that hyperglycosylation of MAP6 is strongly associated with the pathogenesis of PD. These findings provide potentially valuable information for developing new therapeutic targets for the treatment of PD as well as reliably prognostic biomarkers.
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Affiliation(s)
- Li Ma
- Department of Epidemiology, Dalian Medical University, Dalian 116044, China
| | - Jiaxin Song
- Department of Epidemiology, Dalian Medical University, Dalian 116044, China
| | - Xueying Sun
- Department of Epidemiology, Dalian Medical University, Dalian 116044, China
| | - Wenyong Ding
- Biochemistry and Molecular Biology Department of College of Basic Medical Sciences, Dalian Medical University, Dalian 116044, China
| | - Kaiyang Fan
- Medical Administration Department, Affiliated Hospital of Jining Medical University, Jining 272000, China
| | - Minghua Qi
- Biochemistry and Molecular Biology Department of College of Basic Medical Sciences, Dalian Medical University, Dalian 116044, China
| | - Yuefei Xu
- Biochemistry and Molecular Biology Department of College of Basic Medical Sciences, Dalian Medical University, Dalian 116044, China
| | - Wenli Zhang
- Biochemistry and Molecular Biology Department of College of Basic Medical Sciences, Dalian Medical University, Dalian 116044, China
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19
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Petridi S, Middleton CA, Ugbode C, Fellgett A, Covill L, Elliott CJH. In Vivo Visual Screen for Dopaminergic Rab ↔ LRRK2-G2019S Interactions in Drosophila Discriminates Rab10 from Rab3. G3 (BETHESDA, MD.) 2020; 10:1903-1914. [PMID: 32321836 PMCID: PMC7263684 DOI: 10.1534/g3.120.401289] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 04/22/2020] [Indexed: 02/07/2023]
Abstract
LRRK2 mutations cause Parkinson's, but the molecular link from increased kinase activity to pathological neurodegeneration remains undetermined. Previous in vitro assays indicate that LRRK2 substrates include at least 8 Rab GTPases. We have now examined this hypothesis in vivo in a functional, electroretinogram screen, expressing each Rab with/without LRRK2-G2019S in selected Drosophila dopaminergic neurons. Our screen discriminated Rab10 from Rab3. The strongest Rab/LRRK2-G2019S interaction is with Rab10; the weakest with Rab3. Rab10 is expressed in a different set of dopaminergic neurons from Rab3. Thus, anatomical and physiological patterns of Rab10 are related. We conclude that Rab10 is a valid substrate of LRRK2 in dopaminergic neurons in vivo We propose that variations in Rab expression contribute to differences in the rate of neurodegeneration recorded in different dopaminergic nuclei in Parkinson's.
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Affiliation(s)
- Stavroula Petridi
- Department of Biology and York Biomedical Research Institute, University of York, YO1 5DD, UK
| | - C Adam Middleton
- Department of Biology and York Biomedical Research Institute, University of York, YO1 5DD, UK
| | - Chris Ugbode
- Department of Biology and York Biomedical Research Institute, University of York, YO1 5DD, UK
| | - Alison Fellgett
- Department of Biology and York Biomedical Research Institute, University of York, YO1 5DD, UK
| | - Laura Covill
- Department of Biology and York Biomedical Research Institute, University of York, YO1 5DD, UK
| | - Christopher J H Elliott
- Department of Biology and York Biomedical Research Institute, University of York, YO1 5DD, UK
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20
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Drosophila as a model to understand autophagy deregulation in human disorders. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2020. [PMID: 32620249 DOI: 10.1016/bs.pmbts.2020.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2023]
Abstract
Autophagy has important functions in normal physiology to maintain homeostasis and protect against cellular stresses by the removal of harmful cargos such as dysfunctional organelles, protein aggregates and invading pathogens. The deregulation of autophagy is a hallmark of many diseases and therapeutic targeting of autophagy is highly topical. With the complex role of autophagy in disease it is essential to understand the genetic and molecular basis of the contribution of autophagy to pathogenesis. The model organism, Drosophila, provides a genetically amenable system to dissect out the contribution of autophagy to human disease models. Here we review the roles of autophagy in human disease and how autophagy studies in Drosophila have contributed to the understanding of pathophysiology.
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21
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Palu RAS, Ong E, Stevens K, Chung S, Owings KG, Goodman AG, Chow CY. Natural Genetic Variation Screen in Drosophila Identifies Wnt Signaling, Mitochondrial Metabolism, and Redox Homeostasis Genes as Modifiers of Apoptosis. G3 (BETHESDA, MD.) 2019; 9:3995-4005. [PMID: 31570502 PMCID: PMC6893197 DOI: 10.1534/g3.119.400722] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Accepted: 09/26/2019] [Indexed: 12/22/2022]
Abstract
Apoptosis is the primary cause of degeneration in a number of neuronal, muscular, and metabolic disorders. These diseases are subject to a great deal of phenotypic heterogeneity in patient populations, primarily due to differences in genetic variation between individuals. This creates a barrier to effective diagnosis and treatment. Understanding how genetic variation influences apoptosis could lead to the development of new therapeutics and better personalized treatment approaches. In this study, we examine the impact of the natural genetic variation in the Drosophila Genetic Reference Panel (DGRP) on two models of apoptosis-induced retinal degeneration: overexpression of p53 or reaper (rpr). We identify a number of known apoptotic, neural, and developmental genes as candidate modifiers of degeneration. We also use Gene Set Enrichment Analysis (GSEA) to identify pathways that harbor genetic variation that impact these apoptosis models, including Wnt signaling, mitochondrial metabolism, and redox homeostasis. Finally, we demonstrate that many of these candidates have a functional effect on apoptosis and degeneration. These studies provide a number of avenues for modifying genes and pathways of apoptosis-related disease.
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Affiliation(s)
- Rebecca A S Palu
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112
| | - Elaine Ong
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112
| | - Kaitlyn Stevens
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112
| | - Shani Chung
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112
| | - Katie G Owings
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112
| | - Alan G Goodman
- School of Molecular Biosciences, and
- Paul G. Allen School for Global Animal Health, Washington State University College of Veterinary Medicine, Pullman, WA 99164
| | - Clement Y Chow
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT 84112,
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22
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Modeling Parkinson’s Disease Heterogeneity to Accelerate Precision Medicine. Trends Mol Med 2019; 25:1052-1055. [DOI: 10.1016/j.molmed.2019.09.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 09/12/2019] [Accepted: 09/27/2019] [Indexed: 01/04/2023]
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23
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Dual role of D-amino acid oxidase in experimental pain models. Eur J Pharmacol 2019; 855:98-102. [DOI: 10.1016/j.ejphar.2019.05.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 04/08/2019] [Accepted: 05/02/2019] [Indexed: 02/08/2023]
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24
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Hope KA, Flatten D, Cavitch P, May B, Sutcliffe JS, O'Donnell J, Reiter LT. The Drosophila Gene Sulfateless Modulates Autism-Like Behaviors. Front Genet 2019; 10:574. [PMID: 31316544 PMCID: PMC6611434 DOI: 10.3389/fgene.2019.00574] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Accepted: 05/31/2019] [Indexed: 01/13/2023] Open
Abstract
Major challenges to identifying genes that contribute to autism spectrum disorder (ASD) risk include the availability of large ASD cohorts, the contribution of many genes overall, and small effect sizes attributable to common gene variants. An alternative approach is to use a model organism to detect alleles that impact ASD-relevant behaviors and ask whether homologous human genes infer ASD risk. Here we utilized the Drosophila genetic reference panel (DGRP) as a tool to probe for perturbation in naturally occurring behaviors in Drosophila melanogaster that are analogous to three behavior domains: impaired social communication, social reciprocity and repetitive behaviors or restricted interests. Using 40 of the available DGRP lines, we identified single nucleotide polymorphisms (SNPs) in or near genes controlling these behavior domains, including ASD gene orthologs (neurexin 4 and neuroligin 2), an intellectual disability (ID) gene homolog (kirre), and a gene encoding a heparan sulfate (HS) modifying enzyme called sulfateless (sfl). SNPs in sfl were associated with all three ASD-like behaviors. Using RNAi knock-down of neuronal sfl expression, we observed significant changes in expressive and receptive communication during mating, decreased grooming behavior, and increased social spacing. These results suggest a role for HS proteoglycan synthesis and/or modification in normal social communication, repetitive behavior, and social interaction in flies. Finally, using the DGRP to directly identify genetic effects relevant to a neuropsychiatric disorder further demonstrates the utility of the Drosophila system in the discovery of genes relevant to human disease.
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Affiliation(s)
- Kevin A Hope
- Integrated Program in Biological Sciences, The University of Tennessee Health Science Center, Memphis, TN, United States.,Department of Neurology, The University of Tennessee Health Science Center, Memphis, TN, United States
| | - Daniel Flatten
- Christian Brothers University, Memphis, TN, United States
| | - Peter Cavitch
- Integrated Program in Biological Sciences, The University of Tennessee Health Science Center, Memphis, TN, United States
| | - Ben May
- Rhodes College, Memphis, TN, United States
| | - James S Sutcliffe
- Department of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN, United States.,Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Janis O'Donnell
- Department of Biological Sciences, University of Alabama, Tuscaloosa, AL, United States
| | - Lawrence T Reiter
- Department of Neurology, The University of Tennessee Health Science Center, Memphis, TN, United States.,Department of Anatomy and Neurobiology, The University of Tennessee Health Science Center, Memphis, TN, United States.,Department of Pediatrics, The University of Tennessee Health Science Center, Memphis, TN, United States
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25
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Tuite MF. Yeast models of neurodegenerative diseases. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2019; 168:351-379. [DOI: 10.1016/bs.pmbts.2019.07.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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26
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Lee MB, Kaeberlein M. Translational Geroscience: From invertebrate models to companion animal and human interventions. TRANSLATIONAL MEDICINE OF AGING 2018; 2:15-29. [PMID: 32368707 PMCID: PMC7198054 DOI: 10.1016/j.tma.2018.08.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Translational geroscience is an interdisciplinary field descended from basic gerontology that seeks to identify, validate, and clinically apply interventions to maximize healthy, disease-free lifespan. In this review, we describe a research pipeline for the identification and validation of lifespan extending interventions. Beginning in invertebrate model systems, interventions are discovered and then characterized using other invertebrate model systems (evolutionary translation), models of genetic diversity, and disease models. Vertebrate model systems, particularly mice, can then be utilized to validate interventions in mammalian systems. Collaborative, multi-site efforts, like the Interventions Testing Program (ITP), provide a key resource to assess intervention robustness in genetically diverse mice. Mouse disease models provide a tool to understand the broader utility of longevity interventions. Beyond mouse models, we advocate for studies in companion pets. The Dog Aging Project is an exciting example of translating research in dogs, both to develop a model system and to extend their healthy lifespan as a goal in itself. Finally, we discuss proposed and ongoing intervention studies in humans, unmet needs for validating interventions in humans, and speculate on how differences in survival among human populations may influence intervention efficacy.
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Affiliation(s)
- Mitchell B. Lee
- Department of Pathology, University of Washington, Seattle, WA USA
| | - Matt Kaeberlein
- Department of Pathology, University of Washington, Seattle, WA USA
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Modelling in miniature: Using Drosophila melanogaster to study human neurodegeneration. ACTA ACUST UNITED AC 2017. [DOI: 10.1016/j.ddmod.2018.09.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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