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Shulskaya MV, Semenova EI, Rudenok MM, Partevian SA, Lukashevich MV, Karabanov AV, Fedotova EY, Illarioshkin SN, Slominsky PA, Shadrina MI, Alieva AK. Analysis of LRRN3, MEF2C, SLC22A, and P2RY12 Gene Expression in the Peripheral Blood of Patients in the Early Stages of Parkinson's Disease. Biomedicines 2024; 12:1391. [PMID: 39061965 PMCID: PMC11273708 DOI: 10.3390/biomedicines12071391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 05/24/2024] [Accepted: 06/11/2024] [Indexed: 07/28/2024] Open
Abstract
Parkinson's disease (PD) is one of the most common human neurodegenerative diseases. Belated diagnoses of PD and late treatment are caused by its elongated prodromal phase. Thus, searching for new candidate genes participating in the development of the pathological process in the early stages of the disease in patients who have not yet received therapy is relevant. Changes in mRNA and protein levels have been described both in the peripheral blood and in the brain of patients with PD. Thus, analysis of changes in the mRNA expression in peripheral blood is of great importance in studying the early stages of PD. This work aimed to analyze the changes in MEF2C, SLC22A4, P2RY12, and LRRN3 gene expression in the peripheral blood of patients in the early stages of PD. We found a statistically relevant and PD-specific change in the expression of the LRRN3 gene, indicating a disruption in the processes of neuronal regeneration and the functioning of synapses. The data obtained during the study indicate that this gene can be considered a potential biomarker of the early stages of PD.
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Affiliation(s)
- Marina V Shulskaya
- Laboratory of Molecular Genetics of Hereditary Diseases, National Research Center "Kurchatov Institute", Kurchatova pl., 2, Moscow 123082, Russia
| | - Ekaterina I Semenova
- Laboratory of Molecular Genetics of Hereditary Diseases, National Research Center "Kurchatov Institute", Kurchatova pl., 2, Moscow 123082, Russia
| | - Margarita M Rudenok
- Laboratory of Molecular Genetics of Hereditary Diseases, National Research Center "Kurchatov Institute", Kurchatova pl., 2, Moscow 123082, Russia
| | - Suzanna A Partevian
- Laboratory of Molecular Genetics of Hereditary Diseases, National Research Center "Kurchatov Institute", Kurchatova pl., 2, Moscow 123082, Russia
| | - Maria V Lukashevich
- Laboratory of Molecular Genetics of Hereditary Diseases, National Research Center "Kurchatov Institute", Kurchatova pl., 2, Moscow 123082, Russia
| | - Alexei V Karabanov
- Federal State Scientific Institution, Scientific Center of Neurology, Russian Academy of Sciences (RAS), Volokolamskoye sh., 80, Moscow 125367, Russia
| | - Ekaterina Yu Fedotova
- Federal State Scientific Institution, Scientific Center of Neurology, Russian Academy of Sciences (RAS), Volokolamskoye sh., 80, Moscow 125367, Russia
| | - Sergey N Illarioshkin
- Federal State Scientific Institution, Scientific Center of Neurology, Russian Academy of Sciences (RAS), Volokolamskoye sh., 80, Moscow 125367, Russia
| | - Petr A Slominsky
- Laboratory of Molecular Genetics of Hereditary Diseases, National Research Center "Kurchatov Institute", Kurchatova pl., 2, Moscow 123082, Russia
| | - Maria I Shadrina
- Laboratory of Molecular Genetics of Hereditary Diseases, National Research Center "Kurchatov Institute", Kurchatova pl., 2, Moscow 123082, Russia
| | - Anelya Kh Alieva
- Laboratory of Molecular Genetics of Hereditary Diseases, National Research Center "Kurchatov Institute", Kurchatova pl., 2, Moscow 123082, Russia
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2
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Chew G, Mai AS, Ouyang JF, Qi Y, Chao Y, Wang Q, Petretto E, Tan EK. Transcriptomic imputation of genetic risk variants uncovers novel whole-blood biomarkers of Parkinson's disease. NPJ Parkinsons Dis 2024; 10:99. [PMID: 38719867 PMCID: PMC11078960 DOI: 10.1038/s41531-024-00698-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 03/28/2024] [Indexed: 05/12/2024] Open
Abstract
Blood-based gene expression signatures could potentially be used as biomarkers for PD. However, it is unclear whether genetically-regulated transcriptomic signatures can provide novel gene candidates for use as PD biomarkers. We leveraged on the Genotype-Tissue Expression (GTEx) database to impute whole-blood transcriptomic expression using summary statistics of three large-scale PD GWAS. A random forest classifier was used with the consensus whole-blood imputed gene signature (IGS) to discriminate between cases and controls. Outcome measures included Area under the Curve (AUC) of Receiver Operating Characteristic (ROC) Curve. We demonstrated that the IGS (n = 37 genes) is conserved across PD GWAS studies and brain tissues. IGS discriminated between cases and controls in an independent whole-blood RNA-sequencing study (1176 PD, 254 prodromal, and 860 healthy controls) with mean AUC and accuracy of 64.8% and 69.4% for PD cohort, and 78.8% and 74% for prodromal cohort. PATL2 was the top-performing imputed gene in both PD and prodromal PD cohorts, whose classifier performance varied with biological sex (higher performance for males and females in the PD and prodromal PD, respectively). Single-cell RNA-sequencing studies (scRNA-seq) of healthy humans and PD patients found PATL2 to be enriched in terminal effector CD8+ and cytotoxic CD4+ cells, whose proportions are both increased in PD patients. We demonstrated the utility of GWAS transcriptomic imputation in identifying novel whole-blood transcriptomic signatures which could be leveraged upon for PD biomarker derivation. We identified PATL2 as a potential biomarker in both clinical and prodromic PD.
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Affiliation(s)
- Gabriel Chew
- Duke-National University of Singapore Medical School, Singapore, Singapore
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Aaron Shengting Mai
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - John F Ouyang
- Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Yueyue Qi
- Duke-National University of Singapore Medical School, Singapore, Singapore
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
| | - Yinxia Chao
- Duke-National University of Singapore Medical School, Singapore, Singapore
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore
- Department of Neurology, Singapore General Hospital, Singapore, Singapore
| | - Qing Wang
- Department of Neurology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Enrico Petretto
- Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Eng-King Tan
- Duke-National University of Singapore Medical School, Singapore, Singapore.
- Department of Neurology, National Neuroscience Institute, Singapore, Singapore.
- Department of Neurology, Singapore General Hospital, Singapore, Singapore.
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3
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Zarrella JA, Tsurumi A. Genome-wide transcriptome profiling and development of age prediction models in the human brain. Aging (Albany NY) 2024; 16:4075-4094. [PMID: 38428408 PMCID: PMC10968712 DOI: 10.18632/aging.205609] [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: 05/02/2022] [Accepted: 03/28/2023] [Indexed: 03/03/2024]
Abstract
Aging-related transcriptome changes in various regions of the healthy human brain have been explored in previous works, however, a study to develop prediction models for age based on the expression levels of specific panels of transcripts is lacking. Moreover, studies that have assessed sexually dimorphic gene activities in the aging brain have reported discrepant results, suggesting that additional studies would be advantageous. The prefrontal cortex (PFC) region was previously shown to have a particularly large number of significant transcriptome alterations during healthy aging in a study that compared different regions in the human brain. We harmonized neuropathologically normal PFC transcriptome datasets obtained from the Gene Expression Omnibus (GEO) repository, ranging in age from 21 to 105 years, and found a large number of differentially regulated transcripts in the old and elderly, compared to young samples overall, and compared female and male-specific expression alterations. We assessed the genes that were associated with age by employing ontology, pathway, and network analyses. Furthermore, we applied various established (least absolute shrinkage and selection operator (Lasso) and Elastic Net (EN)) and recent (eXtreme Gradient Boosting (XGBoost) and Light Gradient Boosting Machine (LightGBM)) machine learning algorithms to develop accurate prediction models for chronological age and validated them. Studies to further validate these models in other large populations and molecular studies to elucidate the potential mechanisms by which the transcripts identified may be related to aging phenotypes would be advantageous.
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Affiliation(s)
- Joseph A. Zarrella
- Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Amy Tsurumi
- Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Shriner's Hospitals for Children-Boston, Boston, MA 02114, USA
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4
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Li Z, Cui Z, Wang X, Lv Y. Knockdown of LRCH4 Remodels Tumor Microenvironment Through Inhibiting YAP and TGF-β/Smad Signaling Pathway in Colorectal Cancer. Comb Chem High Throughput Screen 2024; 27:1823-1829. [PMID: 38383956 DOI: 10.2174/0113862073267943231101065948] [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: 06/19/2023] [Revised: 08/21/2023] [Accepted: 08/31/2023] [Indexed: 02/23/2024]
Abstract
BACKGROUND Colorectal cancer is one of the most common gastrointestinal malignancies worldwide. LRCH4 is the top 1 gene associated with an unfavorable prognosis in colorectal cancer. METHODS Here, we reported that the knockdown of LRCH4 inhibited the proliferation, migration and invasion in HT29 cells. RESULTS The activity of Yes-Associated Protein (YAP), a transcription factor in the Hppo-YAP signaling pathway, was significantly inhibited by LRCH4-siRNA. LRCH4 knockdown also reversed the EMT and regulated the expression of extracellular matrix (ECM) protein, Fibronectin and Collagen IV in HT29 cells. In addition, the TGF-β/Smad signaling pathway, as the downstream pathway of Yap, was also inhibited by LRCH4 knockdown. CONCLUSION Knockdown of LRCH4 involved in the regulation of ECM and EMT and inhibited YAP and the TGF-β/Smad signaling pathway in colorectal cancer cells. Our study provided a mechanism of LRCH4 on colorectal cancer cells, and a new potential target for clinical tumor treatment.
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Affiliation(s)
- Zhiwen Li
- The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zhenhua Cui
- The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xianren Wang
- The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yanfeng Lv
- The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
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Guo X, Hu W, Gao Z, Fan Y, Wu Q, Li W. Identification of PLOD3 and LRRN3 as potential biomarkers for Parkinson's disease based on integrative analysis. NPJ Parkinsons Dis 2023; 9:82. [PMID: 37258507 DOI: 10.1038/s41531-023-00527-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 05/15/2023] [Indexed: 06/02/2023] Open
Abstract
Parkinson's disease (PD) is one of the most prevalent movement disorders and its diagnosis relies heavily on the typical clinical manifestations in the late stages. This study aims to screen and identify biomarkers of PD for earlier intervention. We performed a differential analysis of postmortem brain transcriptome studies. Weighted Gene Co-expression Network Analysis (WGCNA) was used to identify biomarkers related to Braak stage. We found 58 genes with significantly different expression in both PD brain tissue and blood samples. PD gene signature and risk score model consisting of nine genes were constructed using least absolute shrinkage and selection operator regression (LASSO) and logistic regression. PLOD3 and LRRN3 in gene signature were identified to serve as key genes as well as potential risk factors in PD. Gene function enrichment analysis and evaluation of immune cell infiltration revealed that PLOD3 was implicated in suppression of cellular metabolic function and inflammatory cell infiltration, whereas LRRN3 exhibited an inverse trend. The cellular subpopulation expression of the PLOD3 and LRRN3 has significant distributional variability. The expression of PLOD3 was more enriched in inflammatory cell subpopulations, such as microglia, whereas LRRN3 was more enriched in neurons and oligodendrocyte progenitor cells clusters (OPC). Additionally, the expression of PLOD3 and LRRN3 in Qilu cohort was verified to be consistent with previous results. Collectively, we screened and identified the functions of PLOD3 and LRRN3 based the integrated study. The combined detection of PLOD3 and LRRN3 expression in blood samples can improve the early detection of PD.
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Affiliation(s)
- Xing Guo
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, 250012, Jinan, Shandong, China
- Shandong Key Laboratory of Brain Function Remodeling, 250012, Jinan, Shandong, China
| | - Wenjun Hu
- Department of General Practice, Central Hospital Affiliated to Shandong First Medical university, 250000, Jinan, Shandong, China
| | - Zijie Gao
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, 250012, Jinan, Shandong, China
- Shandong Key Laboratory of Brain Function Remodeling, 250012, Jinan, Shandong, China
| | - Yang Fan
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, 250012, Jinan, Shandong, China
- Shandong Key Laboratory of Brain Function Remodeling, 250012, Jinan, Shandong, China
| | - Qianqian Wu
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, 250012, Jinan, Shandong, China
| | - Weiguo Li
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, 250012, Jinan, Shandong, China.
- Shandong Key Laboratory of Brain Function Remodeling, 250012, Jinan, Shandong, China.
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Liu Y, Bilen M, McNicoll MM, Harris RA, Fong BC, Iqbal MA, Paul S, Mayne J, Walker K, Wang J, Figeys D, Slack RS. Early postnatal defects in neurogenesis in the 3xTg mouse model of Alzheimer's disease. Cell Death Dis 2023; 14:138. [PMID: 36801910 PMCID: PMC9938901 DOI: 10.1038/s41419-023-05650-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 01/26/2023] [Accepted: 02/03/2023] [Indexed: 02/19/2023]
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder leading to dementia. The hippocampus, which is one of the sites where neural stem cells reside and new neurons are born, exhibits the most significant neuronal loss in AD. A decline in adult neurogenesis has been described in several animal models of AD. However, the age at which this defect first appears remains unknown. To determine at which stage, from birth to adulthood, the neurogenic deficits are found in AD, we used the triple transgenic mouse model of AD (3xTg). We show that defects in neurogenesis are present as early as postnatal stages, well before the onset of any neuropathology or behavioral deficits. We also show that 3xTg mice have significantly fewer neural stem/progenitor cells, with reduced proliferation and decreased numbers of newborn neurons at postnatal stages, consistent with reduced volumes of hippocampal structures. To determine whether there are early changes in the molecular signatures of neural stem/progenitor cells, we perform bulk RNA-seq on cells sorted directly from the hippocampus. We show significant changes in the gene expression profiles at one month of age, including genes of the Notch and Wnt pathways. These findings reveal impairments in neurogenesis very early in the 3xTg AD model, which provides new opportunities for early diagnosis and therapeutic interventions to prevent neurodegeneration in AD.
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Affiliation(s)
- Yubing Liu
- grid.28046.380000 0001 2182 2255Department of Cellular and Molecular Medicine, University of Ottawa Brain and Mind Research institute, K1H 8M5 Ottawa, Canada
| | - Maria Bilen
- grid.28046.380000 0001 2182 2255Department of Cellular and Molecular Medicine, University of Ottawa Brain and Mind Research institute, K1H 8M5 Ottawa, Canada
| | - Marie-Michelle McNicoll
- grid.28046.380000 0001 2182 2255Department of Cellular and Molecular Medicine, University of Ottawa Brain and Mind Research institute, K1H 8M5 Ottawa, Canada
| | - Richard A. Harris
- grid.28046.380000 0001 2182 2255Department of Cellular and Molecular Medicine, University of Ottawa Brain and Mind Research institute, K1H 8M5 Ottawa, Canada
| | - Bensun C. Fong
- grid.28046.380000 0001 2182 2255Department of Cellular and Molecular Medicine, University of Ottawa Brain and Mind Research institute, K1H 8M5 Ottawa, Canada
| | - Mohamed Ariff Iqbal
- grid.28046.380000 0001 2182 2255Department of Cellular and Molecular Medicine, University of Ottawa Brain and Mind Research institute, K1H 8M5 Ottawa, Canada
| | - Smitha Paul
- grid.28046.380000 0001 2182 2255Department of Cellular and Molecular Medicine, University of Ottawa Brain and Mind Research institute, K1H 8M5 Ottawa, Canada
| | - Janice Mayne
- grid.28046.380000 0001 2182 2255Ottawa Institute of Systems Biology and Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, K1H 8M5 Ottawa, Canada
| | - Krystal Walker
- grid.28046.380000 0001 2182 2255Ottawa Institute of Systems Biology and Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, K1H 8M5 Ottawa, Canada
| | - Jing Wang
- grid.28046.380000 0001 2182 2255Department of Cellular and Molecular Medicine, University of Ottawa Brain and Mind Research institute, K1H 8M5 Ottawa, Canada ,grid.412687.e0000 0000 9606 5108Regenerative Medicine Program, Ottawa Hospital Research Institute, K1H 8L6 Ottawa, Canada
| | - Daniel Figeys
- grid.28046.380000 0001 2182 2255Ottawa Institute of Systems Biology and Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, K1H 8M5 Ottawa, Canada
| | - Ruth S. Slack
- grid.28046.380000 0001 2182 2255Department of Cellular and Molecular Medicine, University of Ottawa Brain and Mind Research institute, K1H 8M5 Ottawa, Canada
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7
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Pinto M, Diaz F, Nissanka N, Guastucci CS, Illiano P, Brambilla R, Moraes CT. Adult-Onset Deficiency of Mitochondrial Complex III in a Mouse Model of Alzheimer's Disease Decreases Amyloid Beta Plaque Formation. Mol Neurobiol 2022; 59:6552-6566. [PMID: 35969330 PMCID: PMC9464722 DOI: 10.1007/s12035-022-02992-3] [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: 04/27/2022] [Accepted: 08/07/2022] [Indexed: 11/26/2022]
Abstract
For decades, mitochondrial dysfunctions and the generation of reactive oxygen species have been proposed to promote the development and progression of the amyloid pathology in Alzheimer's disease, but this association is still debated. It is unclear whether different mitochondrial dysfunctions, such as oxidative phosphorylation deficiency and oxidative stress, are triggers or rather consequences of the formation of amyloid aggregates. Likewise, the role of the different mitochondrial oxidative phosphorylation complexes in Alzheimer's patients' brain remains poorly understood. Previous studies showed that genetic ablation of oxidative phosphorylation enzymes from early age decreased amyloid pathology, which were unexpected results. To better model oxidative phosphorylation defects in aging, we induced the ablation of mitochondrial Complex III (CIIIKO) in forebrain neurons of adult mice with amyloid pathology. We found that mitochondrial Complex III dysfunction in adult neurons induced mild oxidative stress but did not increase amyloid beta accumulation. On the contrary, CIIIKO-AD mice showed decreased plaque number, decreased Aβ42 toxic fragment, and altered amyloid precursor protein clearance pathway. Our results support the hypothesis that mitochondrial dysfunctions alone, caused by oxidative phosphorylation deficiency, is not the cause of amyloid accumulation.
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Affiliation(s)
- Milena Pinto
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA.
| | - Francisca Diaz
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Nadee Nissanka
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Chelsey S Guastucci
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Placido Illiano
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Roberta Brambilla
- The Miami Project to Cure Paralysis, Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Carlos T Moraes
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA.
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8
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Lee HY, Jeon Y, Kim YK, Jang JY, Cho YS, Bhak J, Cho KH. Identifying molecular targets for reverse aging using integrated network analysis of transcriptomic and epigenomic changes during aging. Sci Rep 2021; 11:12317. [PMID: 34112891 PMCID: PMC8192508 DOI: 10.1038/s41598-021-91811-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 05/25/2021] [Indexed: 01/08/2023] Open
Abstract
Aging is associated with widespread physiological changes, including skeletal muscle weakening, neuron system degeneration, hair loss, and skin wrinkling. Previous studies have identified numerous molecular biomarkers involved in these changes, but their regulatory mechanisms and functional repercussions remain elusive. In this study, we conducted next-generation sequencing of DNA methylation and RNA sequencing of blood samples from 51 healthy adults between 20 and 74 years of age and identified aging-related epigenetic and transcriptomic biomarkers. We also identified candidate molecular targets that can reversely regulate the transcriptomic biomarkers of aging by reconstructing a gene regulatory network model and performing signal flow analysis. For validation, we screened public experimental data including gene expression profiles in response to thousands of chemical perturbagens. Despite insufficient data on the binding targets of perturbagens and their modes of action, curcumin, which reversely regulated the biomarkers in the experimental dataset, was found to bind and inhibit JUN, which was identified as a candidate target via signal flow analysis. Collectively, our results demonstrate the utility of a network model for integrative analysis of omics data, which can help elucidate inter-omics regulatory mechanisms and develop therapeutic strategies against aging.
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Affiliation(s)
- Hwang-Yeol Lee
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.,Genome Research Institute, Clinomics Inc, Ulsan, 44919, Republic of Korea
| | - Yeonsu Jeon
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.,Korea Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Yeon Kyung Kim
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.,Korea Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Jae Young Jang
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea.,Korea Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Yun Sung Cho
- Genome Research Institute, Clinomics Inc, Ulsan, 44919, Republic of Korea
| | - Jong Bhak
- Genome Research Institute, Clinomics Inc, Ulsan, 44919, Republic of Korea. .,Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea. .,Korea Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea. .,Personal Genomics Institute (PGI), Genome Research Foundation (GRF), Osong, 28160, Republic of Korea.
| | - Kwang-Hyun Cho
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
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Yan CC, Zhang XS, Zhou L, Yang Q, Zhou M, Zhang LW, Xing JC, Yan ZF, Price M, Li J, Yue BS, Fan ZX. Effects of aging on gene expression in blood of captive Tibetan macaques ( Macaca thibetana) and comparisons with expression in humans. Zool Res 2021; 41:557-563. [PMID: 32746507 PMCID: PMC7475009 DOI: 10.24272/j.issn.2095-8137.2020.092] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Changes in gene expression occur as animals, including primates, age. Macaques have long been used as a model species for primate evolution and biomedical studies. Here, to study gene expression in Tibetan macaques (Macaca thibetana, TMs) and its differences to humans, we applied RNA-Seq to obtain the blood transcriptomes of 24 TMs. In total, 2 523 age-associated differentially expressed genes (DEGs) were identified. Several pathways and processes that regulate aging, including the FoxO signaling pathway, autophagy, and platelet activation, were significantly enriched in the up-regulated DEGs. Two significantly age-related modules were identified by weighted gene co-expression network analysis (WGCNA). The TMs and humans shared 279 common DEGs, including 111 up-regulated and 141 down-regulated genes with advancing age in the same expression direction. However, 27 age-related DEGs presented the opposite expression direction in TMs as that in humans. For example, INPPL1, with inhibitory effects on the B cell receptor signaling pathway, was up-regulated in humans but down-regulated in TMs. In general, our study suggests that aging is a critical factor affecting gene expression in the captive TM population. The similarities and differences in gene expression patterns between TMs and humans could provide new insights into primate evolution and benefit TM model development.
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Affiliation(s)
- Chao-Chao Yan
- Key Laboratory of Bioresources and Eco-environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan 610065, China
| | - Xin-Shang Zhang
- Institute of Laboratory Animal Sciences, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, Sichuan 610212, China
| | - Liang Zhou
- Institute of Laboratory Animal Sciences, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, Sichuan 610212, China
| | - Qiao Yang
- Key Laboratory of Bioresources and Eco-environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan 610065, China
| | - Min Zhou
- Key Laboratory of Bioresources and Eco-environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan 610065, China
| | - Lin-Wan Zhang
- Key Laboratory of Bioresources and Eco-environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan 610065, China
| | - Jin-Chuan Xing
- Department of Genetics, Rutgers, State University of New Jersey, Piscataway, New Jersey 08854, USA
| | - Zhi-Feng Yan
- Institute of Laboratory Animal Sciences, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, Sichuan 610212, China
| | - Megan Price
- Key Laboratory of Bioresources and Eco-environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan 610065, China
| | - Jing Li
- Key Laboratory of Bioresources and Eco-environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan 610065, China
| | - Bi-Song Yue
- Key Laboratory of Bioresources and Eco-environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan 610065, China
| | - Zhen-Xin Fan
- Key Laboratory of Bioresources and Eco-environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan 610065, China. E-mail:
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10
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Rivière T, Bader A, Pogoda K, Walzog B, Maier-Begandt D. Structure and Emerging Functions of LRCH Proteins in Leukocyte Biology. Front Cell Dev Biol 2020; 8:584134. [PMID: 33072765 PMCID: PMC7536344 DOI: 10.3389/fcell.2020.584134] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 09/01/2020] [Indexed: 01/10/2023] Open
Abstract
Actin-dependent leukocyte trafficking and activation are critical for immune surveillance under steady state conditions and during disease states. Proper immune surveillance is of utmost importance in mammalian homeostasis and it ensures the defense against pathogen intruders, but it also guarantees tissue integrity through the continuous removal of dying cells or the elimination of tumor cells. On the cellular level, these processes depend on the precise reorganization of the actin cytoskeleton orchestrating, e.g., cell polarization, migration, and vesicular dynamics in leukocytes. The fine-tuning of the actin cytoskeleton is achieved by a multiplicity of actin-binding proteins inducing, e.g., the organization of the actin cytoskeleton or linking the cytoskeleton to membranes and their receptors. More than a decade ago, the family of leucine-rich repeat (LRR) and calponin homology (CH) domain-containing (LRCH) proteins has been identified as cytoskeletal regulators. The LRR domains are important for protein-protein interactions and the CH domains mediate actin binding. LRR and CH domains are frequently found in many proteins, but strikingly the simultaneous expression of both domains in one protein only occurs in the LRCH protein family. To date, one LRCH protein has been described in drosophila and four LRCH proteins have been identified in the murine and the human system. The function of LRCH proteins is still under investigation. Recently, LRCH proteins have emerged as novel players in leukocyte function. In this review, we summarize our current understanding of LRCH proteins with a special emphasis on their function in leukocyte biology.
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Affiliation(s)
- Thibaud Rivière
- Institute of Cardiovascular Physiology and Pathophysiology, Biomedical Center, Ludwig-Maximilians-Universität München, Munich, Germany.,Walter Brendel Center of Experimental Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Almke Bader
- Institute of Cardiovascular Physiology and Pathophysiology, Biomedical Center, Ludwig-Maximilians-Universität München, Munich, Germany.,Walter Brendel Center of Experimental Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Kristin Pogoda
- Department of Physiology, Medical Faculty, Augsburg University, Augsburg, Germany
| | - Barbara Walzog
- Institute of Cardiovascular Physiology and Pathophysiology, Biomedical Center, Ludwig-Maximilians-Universität München, Munich, Germany.,Walter Brendel Center of Experimental Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Daniela Maier-Begandt
- Institute of Cardiovascular Physiology and Pathophysiology, Biomedical Center, Ludwig-Maximilians-Universität München, Munich, Germany.,Walter Brendel Center of Experimental Medicine, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany
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11
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Identification of Methylated Gene Biomarkers in Patients with Alzheimer's Disease Based on Machine Learning. BIOMED RESEARCH INTERNATIONAL 2020; 2020:8348147. [PMID: 32309439 PMCID: PMC7139879 DOI: 10.1155/2020/8348147] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 02/12/2020] [Accepted: 03/03/2020] [Indexed: 11/17/2022]
Abstract
Background Alzheimer's disease (AD) is a neurodegenerative disorder and characterized by the cognitive impairments. It is essential to identify potential gene biomarkers for AD pathology. Methods DNA methylation expression data of patients with AD were downloaded from the Gene Expression Omnibus (GEO) database. Differentially methylated sites were identified. The functional annotation analysis of corresponding genes in the differentially methylated sites was performed. The optimal diagnostic gene biomarkers for AD were identified by using random forest feature selection procedure. In addition, receiver operating characteristic (ROC) diagnostic analysis of differentially methylated genes was performed. Results A total of 10 differentially methylated sites including 5 hypermethylated sites and 5 hypomethylated sites were identified in AD. There were a total of 8 genes including thioredoxin interacting protein (TXNIP), noggin (NOG), regulator of microtubule dynamics 2 (FAM82A1), myoneurin (MYNN), ankyrin repeat domain 34B (ANKRD34B), STAM-binding protein like 1, ALMalpha (STAMBPL1), cyclin-dependent kinase inhibitor 1C (CDKN1C), and coronin 2B (CORO2B) that correspond to 10 differentially methylated sites. The cell cycle (FDR = 0.0284087) and TGF-beta signaling pathway (FDR = 0.0380372) were the only two significantly enriched pathways of these genes. MYNN was selected as optimal diagnostic biomarker with great diagnostic value. The random forests model could effectively predict AD. Conclusion Our study suggested that MYNN could be served as optimal diagnostic biomarker of AD. Cell cycle and TGF-beta signaling pathway may be associated with AD.
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12
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Sakharkar MK, Kashmir Singh SK, Rajamanickam K, Mohamed Essa M, Yang J, Chidambaram SB. A systems biology approach towards the identification of candidate therapeutic genes and potential biomarkers for Parkinson's disease. PLoS One 2019; 14:e0220995. [PMID: 31487305 PMCID: PMC6728017 DOI: 10.1371/journal.pone.0220995] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 07/26/2019] [Indexed: 12/13/2022] Open
Abstract
Parkinson's disease (PD) is an irreversible and incurable multigenic neurodegenerative disorder. It involves progressive loss of mid brain dopaminergic neurons in the substantia nigra pars compacta (SN). We compared brain gene expression profiles with those from the peripheral blood cells of a separate sample of PD patients to identify disease-associated genes. Here, we demonstrate the use of gene expression profiling of brain and blood for detecting valid targets and identifying early PD biomarkers. Implementing this systematic approach, we discovered putative PD risk genes in brain, delineated biological processes and molecular functions that may be particularly disrupted in PD and also identified several putative PD biomarkers in blood. 20 of the differentially expressed genes in SN were also found to be differentially expressed in the blood. Further application of this methodology to other brain regions and neurological disorders should facilitate the discovery of highly reliable and reproducible candidate risk genes and biomarkers for PD. The identification of valid peripheral biomarkers for PD may ultimately facilitate early identification, intervention, and prevention efforts as well.
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Affiliation(s)
- Meena Kishore Sakharkar
- Drug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Canada
- * E-mail: (MKS); (SBC)
| | | | - Karthic Rajamanickam
- Drug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Canada
| | | | - Jian Yang
- Drug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Canada
| | - Saravana Babu Chidambaram
- Department of Pharmacology, JSS College of Pharmacy, JSSAHER, Karnataka, India
- * E-mail: (MKS); (SBC)
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13
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Aloor JJ, Azzam KM, Guardiola JJ, Gowdy KM, Madenspacher JH, Gabor KA, Mueller GA, Lin WC, Lowe JM, Gruzdev A, Henderson MW, Draper DW, Merrick BA, Fessler MB. Leucine-rich repeats and calponin homology containing 4 (Lrch4) regulates the innate immune response. J Biol Chem 2018; 294:1997-2008. [PMID: 30523158 DOI: 10.1074/jbc.ra118.004300] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 11/27/2018] [Indexed: 01/07/2023] Open
Abstract
Toll-like receptors (TLRs) are pathogen-recognition receptors that trigger the innate immune response. Recent reports have identified accessory proteins that provide essential support to TLR function through ligand delivery and receptor trafficking. Herein, we introduce leucine-rich repeats (LRRs) and calponin homology containing 4 (Lrch4) as a novel TLR accessory protein. Lrch4 is a membrane protein with nine LRRs in its predicted ectodomain. It is widely expressed across murine tissues and has two expression variants that are both regulated by lipopolysaccharide (LPS). Predictive modeling indicates that Lrch4 LRRs conform to the horseshoe-shaped structure typical of LRRs in pathogen-recognition receptors and that the best structural match in the protein database is to the variable lymphocyte receptor of the jawless vertebrate hagfish. Silencing Lrch4 attenuates cytokine induction by LPS and multiple other TLR ligands and dampens the in vivo innate immune response. Lrch4 promotes proper docking of LPS in lipid raft membrane microdomains. We provide evidence that this is through regulation of lipid rafts as Lrch4 silencing reduces cell surface gangliosides, a metric of raft abundance, as well as expression and surface display of CD14, a raft-resident LPS co-receptor. Taken together, we identify Lrch4 as a broad-spanning regulator of the innate immune response and a potential molecular target in inflammatory disease.
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Affiliation(s)
- Jim J Aloor
- From the Immunity, Inflammation and Disease Laboratory
| | | | | | | | | | | | | | - Wan-Chi Lin
- From the Immunity, Inflammation and Disease Laboratory
| | - Julie M Lowe
- From the Immunity, Inflammation and Disease Laboratory
| | | | | | | | - B Alex Merrick
- National Toxicology Program, NIEHS, National Institutes of Health, Research Triangle Park, North Carolina 27709
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14
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Gomez-Verjan JC, Vazquez-Martinez ER, Rivero-Segura NA, Medina-Campos RH. The RNA world of human ageing. Hum Genet 2018; 137:865-879. [DOI: 10.1007/s00439-018-1955-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 10/29/2018] [Indexed: 12/15/2022]
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15
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Petyuk VA, Chang R, Ramirez-Restrepo M, Beckmann ND, Henrion MYR, Piehowski PD, Zhu K, Wang S, Clarke J, Huentelman MJ, Xie F, Andreev V, Engel A, Guettoche T, Navarro L, De Jager P, Schneider JA, Morris CM, McKeith IG, Perry RH, Lovestone S, Woltjer RL, Beach TG, Sue LI, Serrano GE, Lieberman AP, Albin RL, Ferrer I, Mash DC, Hulette CM, Ervin JF, Reiman EM, Hardy JA, Bennett DA, Schadt E, Smith RD, Myers AJ. The human brainome: network analysis identifies HSPA2 as a novel Alzheimer’s disease target. Brain 2018; 141:2721-2739. [PMID: 30137212 PMCID: PMC6136080 DOI: 10.1093/brain/awy215] [Citation(s) in RCA: 18] [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: 02/14/2018] [Revised: 04/20/2018] [Accepted: 06/22/2018] [Indexed: 11/24/2022] Open
Abstract
Our hypothesis is that changes in gene and protein expression are crucial to the development of late-onset Alzheimer’s disease. Previously we examined how DNA alleles control downstream expression of RNA transcripts and how those relationships are changed in late-onset Alzheimer’s disease. We have now examined how proteins are incorporated into networks in two separate series and evaluated our outputs in two different cell lines. Our pipeline included the following steps: (i) predicting expression quantitative trait loci; (ii) determining differential expression; (iii) analysing networks of transcript and peptide relationships; and (iv) validating effects in two separate cell lines. We performed all our analysis in two separate brain series to validate effects. Our two series included 345 samples in the first set (177 controls, 168 cases; age range 65–105; 58% female; KRONOSII cohort) and 409 samples in the replicate set (153 controls, 141 cases, 115 mild cognitive impairment; age range 66–107; 63% female; RUSH cohort). Our top target is heat shock protein family A member 2 (HSPA2), which was identified as a key driver in our two datasets. HSPA2 was validated in two cell lines, with overexpression driving further elevation of amyloid-β40 and amyloid-β42 levels in APP mutant cells, as well as significant elevation of microtubule associated protein tau and phosphorylated-tau in a modified neuroglioma line. This work further demonstrates that studying changes in gene and protein expression is crucial to understanding late onset disease and further nominates HSPA2 as a specific key regulator of late-onset Alzheimer’s disease processes.10.1093/brain/awy215_video1awy215media15824729224001.
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Affiliation(s)
- Vladislav A Petyuk
- Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Rui Chang
- Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Manuel Ramirez-Restrepo
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Noam D Beckmann
- Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marc Y R Henrion
- Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Paul D Piehowski
- Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Kuixi Zhu
- Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sven Wang
- Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jennifer Clarke
- Food Science and Technology Department, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Matthew J Huentelman
- Neurogenomics Division, The Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Fang Xie
- Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Victor Andreev
- Arbor Research Collaborative for Health, 340 E Huron St # 300, Ann Arbor, MI, USA
| | - Anzhelika Engel
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | | | - Loida Navarro
- Roche Sequencing, 4300 Hacienda Drive, Pleasanton, CA, USA
| | - Philip De Jager
- Center for Translational and Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, NY, USA
- New York Genome Center, New York NY, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Julie A Schneider
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Christopher M Morris
- Newcastle Brain Tissue Resource, Institute of Neuroscience, Campus for Ageing and Vitality, Newcastle University, Newcastle upon Tyne, UK
| | - Ian G McKeith
- NIHR Biomedical Research Centre, Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK
| | - Robert H Perry
- Neuropathology and Cellular Pathology, Royal Victoria Infirmary, Queen Victoria Road, Newcastle upon Tyne, UK
| | - Simon Lovestone
- University of Oxford, Medical Sciences Division, Department of Psychiatry, Warneford Hospital, Oxford, UK
| | - Randall L Woltjer
- Neuropathology Core of the Layton Aging and Alzheimer’s Disease Center, Oregon Health and Science University, Portland, OR, USA
| | | | - Lucia I Sue
- Banner Sun Health Research Institute, Sun City, AZ, USA
| | | | | | - Roger L Albin
- Department of Neurology, University of Michigan, Ann Arbor, MI, USA
- Geriatrics Research, Education, and Clinical Center, VAAAHS, Ann Arbor, MI, USA
| | - Isidre Ferrer
- Department of Pathology and Experimental Therapeutics, University of Barcelona; CIBERNED; Hospitalet de Llobregat, Spain
| | - Deborah C Mash
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Christine M Hulette
- Department of Pathology, Division of Neuropathology, Duke University Medical Center, Durham, NC, USA
| | - John F Ervin
- Kathleen Price Bryan Brain Bank, Department of Medicine, Division of Neurology, Duke University, Durham, NC, USA
| | - Eric M Reiman
- The Arizona Alzheimer’s Consortium, Phoenix, Arizona, USA
- Banner Alzheimer’s Institute, Phoenix, Arizona, USA
| | - John A Hardy
- Department of Molecular Neuroscience and Reta Lila Research Laboratories, University College London Institute of Neurology, London, UK
| | - David A Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Eric Schadt
- Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Richard D Smith
- Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Amanda J Myers
- Department of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
- Interdepartmental Program in Neuroscience, University of Miami Miller School of Medicine, Miami, FL, USA
- Interdepartmental Program in Human Genetics and Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
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16
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Pu M, Wang M, Wang W, Velayudhan SS, Lee SS. Unique patterns of trimethylation of histone H3 lysine 4 are prone to changes during aging in Caenorhabditis elegans somatic cells. PLoS Genet 2018; 14:e1007466. [PMID: 29912876 PMCID: PMC6023244 DOI: 10.1371/journal.pgen.1007466] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Revised: 06/28/2018] [Accepted: 06/02/2018] [Indexed: 11/18/2022] Open
Abstract
Tri-methylation on histone H3 lysine 4 (H3K4me3) is associated with active gene expression but its regulatory role in transcriptional activation is unclear. Here we used Caenorhabditis elegans to investigate the connection between H3K4me3 and gene expression regulation during aging. We uncovered around 30% of H3K4me3 enriched regions to show significant and reproducible changes with age. We further showed that these age-dynamic H3K4me3 regions largely mark gene-bodies and are acquired during adult stages. We found that these adult-specific age-dynamic H3K4me3 regions are correlated with gene expression changes with age. In contrast, H3K4me3 marking established during developmental stages remained largely stable with age, even when the H3K4me3 associated genes exhibited RNA expression changes during aging. Importantly, the genes associated with changes in H3K4me3 and RNA levels with age are enriched for functional groups commonly implicated in aging biology. Therefore, our findings suggested divergent roles of H3K4me3 in gene expression regulation during aging, with important implications on aging-dependent pathophysiologies. Histone modifications, the specific chemical modifications on histone proteins, are key for regulating the packing of DNA, and thus have important influence on diverse biological processes. An intensely studied function of histone modifications is their contribution to regulating gene expression. Recent studies in diverse model organisms demonstrated that the global alterations of particular histone modifications, for instance H3K4me3, extend the lifespan of the organism. However, the underlying molecular mechanisms remain largely unclear. In this study, we monitored whether and how the genome-wide pattern of the histone modification H3K4me3 changes during aging in the somatic cells of the model organism C. elegans. We identified interesting and non-conventional patterns of H3K4me3, which span gene-bodies and are acquired during adulthood, that are particularly prone to changes with aging. This is contrasted to the well-studied H3K4me3 patterns that span transcriptional start sites and 5’ promoter regions and are established early during development, which remain stable with age. Consistent with the close association between H3K4me3 marking and active transcription, we observed that the age-dynamic H3K4me3 markings are highly correlated with corresponding RNA expression changes. Importantly, the genes that are associated with both H3K4me3 and RNA expression changes with age are over-represented for functional groups commonly implicated in aging biology. In summary, our findings revealed a lesser known pattern of H3K4me3 modification that can have important biological roles in aging.
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Affiliation(s)
- Mintie Pu
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York City, United States of America
- * E-mail: (MP); (SSL)
| | - Minghui Wang
- Computational Biology Service Unit, Cornell University, Ithaca, New York City, United States of America
| | - Wenke Wang
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York City, United States of America
| | - Satheeja Santhi Velayudhan
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York City, United States of America
| | - Siu Sylvia Lee
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York City, United States of America
- * E-mail: (MP); (SSL)
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17
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Manfredini F, Romero AE, Pedroso I, Paccanaro A, Sumner S, Brown MJF. Neurogenomic Signatures of Successes and Failures in Life-History Transitions in a Key Insect Pollinator. Genome Biol Evol 2017; 9:3059-3072. [PMID: 29087523 PMCID: PMC5714134 DOI: 10.1093/gbe/evx220] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/25/2017] [Indexed: 12/22/2022] Open
Abstract
Life-history transitions require major reprogramming at the behavioral and physiological level. Mating and reproductive maturation are known to trigger changes in gene transcription in reproductive tissues in a wide range of organisms, but we understand little about the molecular consequences of a failure to mate or become reproductively mature, and it is not clear to what extent these processes trigger neural as well as physiological changes. In this study, we examined the molecular processes underpinning the behavioral changes that accompany the major life-history transitions in a key pollinator, the bumblebee Bombus terrestris. We compared neuro-transcription in queens that succeeded or failed in switching from virgin and immature states, to mated and reproductively mature states. Both successes and failures were associated with distinct molecular profiles, illustrating how development during adulthood triggers distinct molecular profiles within a single caste of a eusocial insect. Failures in both mating and reproductive maturation were explained by a general up-regulation of brain gene transcription. We identified 21 genes that were highly connected in a gene coexpression network analysis: nine genes are involved in neural processes and four are regulators of gene expression. This suggests that negotiating life-history transitions involves significant neural processing and reprogramming, and not just changes in physiology. These findings provide novel insights into basic life-history transitions of an insect. Failure to mate or to become reproductively mature is an overlooked component of variation in natural systems, despite its prevalence in many sexually reproducing organisms, and deserves deeper investigation in the future.
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Affiliation(s)
- Fabio Manfredini
- School of Biological Sciences, Royal Holloway University of London, Egham, United Kingdom
- Department of Computer Science, and Centre for Systems and Synthetic Biology, Royal Holloway University of London, Egham, United Kingdom
| | - Alfonso E Romero
- Department of Computer Science, and Centre for Systems and Synthetic Biology, Royal Holloway University of London, Egham, United Kingdom
| | - Inti Pedroso
- Center for Systems Biotechnology, Fraunhofer Chile Research Foundation, Santiago, Chile
| | - Alberto Paccanaro
- Department of Computer Science, and Centre for Systems and Synthetic Biology, Royal Holloway University of London, Egham, United Kingdom
| | - Seirian Sumner
- School of Biological Sciences, University of Bristol, United Kingdom
- Present address: Centre for Biodiversity & Environment Research, Department of Genetics, Evolution & Environment, University College London, London, United Kingdom
| | - Mark J F Brown
- School of Biological Sciences, Royal Holloway University of London, Egham, United Kingdom
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Petruseva IO, Evdokimov AN, Lavrik OI. Genome Stability Maintenance in Naked Mole-Rat. Acta Naturae 2017; 9:31-41. [PMID: 29340215 PMCID: PMC5762826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2017] [Indexed: 11/02/2022] Open
Abstract
The naked mole-rat (Heterocephalus glaber) is one of the most promising models used to study genome maintenance systems, including the effective repair of damage to DNA. The naked mole-rat is the longest lived rodent species, which is extraordinarily resistant to cancer and has a number of other unique phenotypic traits. For at least 80% of its lifespan, this animal shows no signs of aging or any increased likelihood of death and retains the ability to reproduce. The naked mole-rat draws the heightened attention of researchers who study the molecular basis of lengthy lifespan and cancer resistance. Despite the fact that the naked mole-rat lives under genotoxic stress conditions (oxidative, etc.), the main characteristics of its genome and proteome are a high stability and effective functioning. Replicative senescence in the somatic cells of naked mole-rats is missing, while an additional p53/pRb-dependent mechanism of early contact inhibition has been revealed in its fibroblasts, which controls cell proliferation and its mechanism of arf-dependent aging. The unique traits of phenotypic and molecular adaptations found in the naked mole-rat speak to a high stability and effective functioning of the molecular machinery that counteract damage accumulation in its genome. This review analyzes existing results in the study of the molecular basis of longevity and high cancer resistance in naked mole-rats.
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Affiliation(s)
- I. O. Petruseva
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Lavrentjeva Ave. 8, Novosibirsk, 630090, Russia
| | - A. N. Evdokimov
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Lavrentjeva Ave. 8, Novosibirsk, 630090, Russia
| | - O. I. Lavrik
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Lavrentjeva Ave. 8, Novosibirsk, 630090, Russia
- Novosibirsk State University, Ministry of education and science, Pirogova Str. 1, Novosibirsk, 630090 , Russia
- Altai State University, Ministry of education and science, Lenina Ave. 61, Barnaul, 656049, Russia
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Sutphin GL, Backer G, Sheehan S, Bean S, Corban C, Liu T, Peters MJ, van Meurs JBJ, Murabito JM, Johnson AD, Korstanje R. Caenorhabditis elegans orthologs of human genes differentially expressed with age are enriched for determinants of longevity. Aging Cell 2017; 16:672-682. [PMID: 28401650 PMCID: PMC5506438 DOI: 10.1111/acel.12595] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/05/2017] [Indexed: 12/21/2022] Open
Abstract
We report a systematic RNAi longevity screen of 82 Caenorhabditis elegans genes selected based on orthology to human genes differentially expressed with age. We find substantial enrichment in genes for which knockdown increased lifespan. This enrichment is markedly higher than published genomewide longevity screens in C. elegans and similar to screens that preselected candidates based on longevity‐correlated metrics (e.g., stress resistance). Of the 50 genes that affected lifespan, 46 were previously unreported. The five genes with the greatest impact on lifespan (>20% extension) encode the enzyme kynureninase (kynu‐1), a neuronal leucine‐rich repeat protein (iglr‐1), a tetraspanin (tsp‐3), a regulator of calcineurin (rcan‐1), and a voltage‐gated calcium channel subunit (unc‐36). Knockdown of each gene extended healthspan without impairing reproduction. kynu‐1(RNAi) alone delayed pathology in C. elegans models of Alzheimer's disease and Huntington's disease. Each gene displayed a distinct pattern of interaction with known aging pathways. In the context of published work, kynu‐1, tsp‐3, and rcan‐1 are of particular interest for immediate follow‐up. kynu‐1 is an understudied member of the kynurenine metabolic pathway with a mechanistically distinct impact on lifespan. Our data suggest that tsp‐3 is a novel modulator of hypoxic signaling and rcan‐1 is a context‐specific calcineurin regulator. Our results validate C. elegans as a comparative tool for prioritizing human candidate aging genes, confirm age‐associated gene expression data as valuable source of novel longevity determinants, and prioritize select genes for mechanistic follow‐up.
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Affiliation(s)
| | - Grant Backer
- The Jackson Laboratory; 600 Main Street Bar Harbor ME 04609 USA
| | - Susan Sheehan
- The Jackson Laboratory; 600 Main Street Bar Harbor ME 04609 USA
| | - Shannon Bean
- The Jackson Laboratory; 600 Main Street Bar Harbor ME 04609 USA
| | - Caroline Corban
- The Jackson Laboratory; 600 Main Street Bar Harbor ME 04609 USA
| | - Teresa Liu
- The Jackson Laboratory; 600 Main Street Bar Harbor ME 04609 USA
| | - Marjolein J. Peters
- Department of Internal Medicine; Erasmus Medical Center; Postbus 2040 3000 CA Rotterdam The Netherlands
| | - Joyce B. J. van Meurs
- Department of Internal Medicine; Erasmus Medical Center; Postbus 2040 3000 CA Rotterdam The Netherlands
| | - Joanne M. Murabito
- Section of General Internal Medicine; Boston University School of Medicine; 801 Massachusetts Ave, Crosstown Center Boston MA 02118 USA
- The National Heart, Lung, and Blood Institute's Framingham Heart Study; 73 Mt. Wayte Ave, Suite 2 Framingham MA 01702-5827 USA
| | - Andrew D. Johnson
- The National Heart, Lung, and Blood Institute's Framingham Heart Study; 73 Mt. Wayte Ave, Suite 2 Framingham MA 01702-5827 USA
- Population Sciences Branch; National Heart, Lung, and Blood Institute; Building 31, Room 5A52, 31 Center Drive MSC 2486 Bethesda MD 20892 USA
| | - Ron Korstanje
- The Jackson Laboratory; 600 Main Street Bar Harbor ME 04609 USA
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Häsler R, Venkatesh G, Tan Q, Flachsbart F, Sinha A, Rosenstiel P, Lieb W, Schreiber S, Christensen K, Christiansen L, Nebel A. Genetic interplay between human longevity and metabolic pathways - a large-scale eQTL study. Aging Cell 2017; 16:716-725. [PMID: 28421666 PMCID: PMC5506416 DOI: 10.1111/acel.12598] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2017] [Indexed: 11/30/2022] Open
Abstract
Human longevity is a complex phenotype influenced by genetic and environmental components. Unraveling the contribution of genetic vs. nongenetic factors to longevity is a challenging task. Here, we conducted a large‐scale RNA‐sequencing‐based expression quantitative trait loci study (eQTL) with subsequent heritability analysis. The investigation was performed on blood samples from 244 individuals from Germany and Denmark, representing various age groups including long‐lived subjects up to the age of 104 years. Our eQTL‐based approach revealed for the first time that human longevity is associated with a depletion of metabolic pathways in a genotype‐dependent and independent manner. Further analyses indicated that 20% of the differentially expressed genes are influenced by genetic variants in cis. The subsequent study of twins showed that the transcriptional activity of a third of the differentially regulated genes is heritable. These findings suggest that longevity‐associated biological processes such as altered metabolism are, to a certain extent, also the driving force of longevity rather than just a consequence of old age.
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Affiliation(s)
- Robert Häsler
- Institute of Clinical Molecular Biology; Kiel University; 24105 Kiel Germany
| | - Geetha Venkatesh
- Institute of Clinical Molecular Biology; Kiel University; 24105 Kiel Germany
| | - Qihua Tan
- The Danish Twin Registry; Unit of Epidemiology, Biostatistics and Biodemography; University of Southern Denmark; 5000 Odense Denmark
- Department of Clinical Genetics; Odense University Hospital; 5000 Odense Denmark
| | | | - Anupam Sinha
- Institute of Clinical Molecular Biology; Kiel University; 24105 Kiel Germany
| | - Philip Rosenstiel
- Institute of Clinical Molecular Biology; Kiel University; 24105 Kiel Germany
| | - Wolfgang Lieb
- Institute of Epidemiology; Kiel University; 24105 Kiel Germany
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology; Kiel University; 24105 Kiel Germany
| | - Kaare Christensen
- The Danish Twin Registry; Unit of Epidemiology, Biostatistics and Biodemography; University of Southern Denmark; 5000 Odense Denmark
- Department of Clinical Genetics; Odense University Hospital; 5000 Odense Denmark
- Department of Clinical Biochemistry and Pharmacology; Odense University Hospital; 5000 Odense Denmark
| | - Lene Christiansen
- The Danish Twin Registry; Unit of Epidemiology, Biostatistics and Biodemography; University of Southern Denmark; 5000 Odense Denmark
| | - Almut Nebel
- Institute of Clinical Molecular Biology; Kiel University; 24105 Kiel Germany
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21
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Milan AM, Pundir S, Pileggi CA, Markworth JF, Lewandowski PA, Cameron-Smith D. Comparisons of the Postprandial Inflammatory and Endotoxaemic Responses to Mixed Meals in Young and Older Individuals: A Randomised Trial. Nutrients 2017; 9:E354. [PMID: 28368340 PMCID: PMC5409693 DOI: 10.3390/nu9040354] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 03/29/2017] [Accepted: 03/29/2017] [Indexed: 02/06/2023] Open
Abstract
Postprandial inflammation and endotoxaemia are determinants of cardiovascular and metabolic disease risk which are amplified by high fat meals. We aimed to examine the determinants of postprandial inflammation and endotoxaemia in older and younger adults following a high fat mixed meal. In a randomised cross-over trial, healthy participants aged 20-25 and 60-75 years (n = 15/group) consumed a high-fat breakfast and a low-fat breakfast. Plasma taken at baseline and post-meal for 5 h was analysed for circulating endotoxin, cytokines (monocyte chemotactic protein-1 (MCP-1), interleukin (IL)-1β, IL-6, and tumour necrosis factor-alpha (TNF-α)), lipopolysaccharide binding protein (LBP), and inflammatory gene expression in peripheral blood mononuclear cells (PBMC). Older subjects had lower baseline PBMC expression of Glutathione peroxidase 1 (GPX-1) but greater insulin-like growth factor-binding protein 3 (IGFBP3) and circulating MCP-1 compared to younger subjects. After either meal, there were no age differences in plasma, chylomicron endotoxin, or plasma LBP concentrations, nor in inflammatory cytokine gene and protein expression (MCP-1, IL-1β, and TNF-α). Unlike younger participants, the older group had decreased superoxide dismutase (SOD)-2 expression after the meals. After a high-fat meal, older adults have no increased inflammatory or endotoxin response, but an altered oxidative stress gene response compared with younger adults. Healthy older adults, without apparent metabolic dysfunction, have a comparable postprandial inflammatory and endotoxaemia response to younger adults.
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Affiliation(s)
- Amber M Milan
- Liggins Institute, University of Auckland, Private Bag 92019, Auckland 1023, New Zealand.
| | - Shikha Pundir
- Liggins Institute, University of Auckland, Private Bag 92019, Auckland 1023, New Zealand.
| | - Chantal A Pileggi
- Liggins Institute, University of Auckland, Private Bag 92019, Auckland 1023, New Zealand.
| | - James F Markworth
- Liggins Institute, University of Auckland, Private Bag 92019, Auckland 1023, New Zealand.
| | - Paul A Lewandowski
- School of Medicine, Deakin University, 75 Pigdons Road, Warun Ponds, VIC 3216, Australia.
| | - David Cameron-Smith
- Liggins Institute, University of Auckland, Private Bag 92019, Auckland 1023, New Zealand.
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22
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Cho YE, Latour LL, Kim H, Turtzo LC, Olivera A, Livingston WS, Wang D, Martin C, Lai C, Cashion A, Gill J. Older Age Results in Differential Gene Expression after Mild Traumatic Brain Injury and Is Linked to Imaging Differences at Acute Follow-up. Front Aging Neurosci 2016; 8:168. [PMID: 27468266 PMCID: PMC4942460 DOI: 10.3389/fnagi.2016.00168] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Accepted: 06/23/2016] [Indexed: 12/21/2022] Open
Abstract
Older age consistently relates to a lesser ability to fully recover from a traumatic brain injury (TBI); however, there is limited data to explicate the nature of age-related risks. This study was undertaken to determine the relationship of age on gene-activity following a TBI, and how this biomarker relates to changes in neuroimaging findings. A young group (between the ages of 19 and 35 years), and an old group (between the ages of 60 and 89 years) were compared on global gene-activity within 48 h following a TBI, and then at follow-up within 1-week. At each time-point, gene expression profiles, and imaging findings from both magnetic resonance imaging (MRI) and computed tomography were obtained and compared. The young group was found to have greater gene expression of inflammatory regulatory genes at 48 h and 1-week in genes such as basic leucine zipper transcription factor 2 (BACH2), leucine-rich repeat neuronal 3 (LRRN3), and lymphoid enhancer-binding factor 1 (LEF1) compared to the old group. In the old group, there was increased activity in genes within S100 family, including calcium binding protein P (S100P) and S100 calcium binding protein A8 (S100A8), which previous studies have linked to poor recovery from TBI. The old group also had reduced activity of the noggin (NOG) gene, which is a member of the transforming growth factor-β superfamily and is linked to neurorecovery and neuroregeneration compared to the young group. We link these gene expression findings that were validated to neuroimaging, reporting that in the old group with a MRI finding of TBI-related damage, there was a lesser likelihood to then have a negative MRI finding at follow-up compared to the young group. Together, these data indicate that age impacts gene activity following a TBI, and suggest that this differential activity related to immune regulation and neurorecovery contributes to a lesser likelihood of neuronal recovery in older patients as indicated through neuroimaging.
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Affiliation(s)
- Young-Eun Cho
- National Institute of Nursing Research, National Institutes of Health, Bethesda MD, USA
| | - Lawrence L Latour
- National Institute of Neurological Disorders, National Institutes of Health, Bethesda MD, USA
| | - Hyungsuk Kim
- National Institute of Nursing Research, National Institutes of Health, Bethesda MD, USA
| | - L Christine Turtzo
- National Institute of Neurological Disorders, National Institutes of Health, Bethesda MD, USA
| | - Anlys Olivera
- National Institute of Nursing Research, National Institutes of Health, Bethesda MD, USA
| | - Whitney S Livingston
- National Institute of Nursing Research, National Institutes of Health, Bethesda MD, USA
| | - Dan Wang
- National Institute of Nursing Research, National Institutes of Health, Bethesda MD, USA
| | - Christiana Martin
- National Institute of Nursing Research, National Institutes of Health, Bethesda MD, USA
| | - Chen Lai
- National Institute of Nursing Research, National Institutes of Health, Bethesda MD, USA
| | - Ann Cashion
- National Institute of Nursing Research, National Institutes of Health, Bethesda MD, USA
| | - Jessica Gill
- National Institute of Nursing Research, National Institutes of Health, Bethesda MD, USA
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23
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da Costa JP, Rocha-Santos T, Duarte AC. Analytical tools to assess aging in humans: The rise of geri-omics. Trends Analyt Chem 2016. [DOI: 10.1016/j.trac.2015.09.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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24
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Human age estimation from blood using mRNA, DNA methylation, DNA rearrangement, and telomere length. Forensic Sci Int Genet 2016; 24:33-43. [PMID: 27288716 DOI: 10.1016/j.fsigen.2016.05.014] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2015] [Revised: 05/23/2016] [Accepted: 05/23/2016] [Indexed: 11/22/2022]
Abstract
Establishing the age of unknown persons, or persons with unknown age, can provide important leads in police investigations, disaster victim identification, fraud cases, and in other legal affairs. Previous methods mostly relied on morphological features available from teeth or skeletal parts. The development of molecular methods for age estimation allowing to use human specimens that possess no morphological age information, such as bloodstains, is extremely valuable as this type of samples is commonly found at crime scenes. Recently, we introduced a DNA-based approach for human age estimation from blood based on the quantification of T-cell specific DNA rearrangements (sjTRECs), which achieves accurate assignment of blood DNA samples to one of four 20-year-interval age categories. Aiming at improving the accuracy of molecular age estimation from blood, we investigated different types of biomarkers. We started out by systematic genome-wide surveys for new age-informative mRNA and DNA methylation markers in blood from the same young and old individuals using microarray technologies. The obtained candidate markers were validated in independent samples covering a wide age range using alternative technologies together with previously proposed DNA methylation, sjTREC, and telomere length markers. Cross-validated multiple regression analysis was applied for estimating and validating the age predictive power of various sets of biomarkers within and across different marker types. We found that DNA methylation markers outperformed mRNA, sjTREC, and telomere length in age predictive power. The best performing model included 8 DNA methylation markers derived from 3 CpG islands reaching a high level of accuracy (cross-validated R(2)=0.88, SE±6.97 years, mean absolute deviation 5.07 years). However, our data also suggest that mRNA markers can provide independent age information: a model using a combined set of 5 DNA methylation markers and one mRNA marker could provide similarly high accuracy (cross-validated R(2)=0.86, SE±7.62 years, mean absolute deviation 4.60 years). Overall, our study provides new and confirms previously suggested molecular biomarkers for age estimation from blood. Moreover, our comparative study design revealed that DNA methylation markers are superior for this purpose over other types of molecular biomarkers tested. While the new and some previous findings are highly promising, before molecular age estimation can eventually meet forensic practice, the proposed biomarkers should be tested further in larger sets of blood samples from both healthy and unhealthy individuals, and markers and genotyping methods shall be validated to meet forensic standards.
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25
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Zhou J, Li Y, He C. RETRACTED ARTICLE: Identification of the Interaction Between the Human Homologue of the Arabidopsis COP9 Signalosome Subunit 7a and Olig1. Cell Mol Neurobiol 2016; 36:637. [PMID: 26306918 DOI: 10.1007/s10571-015-0255-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2015] [Accepted: 08/19/2015] [Indexed: 11/29/2022]
Affiliation(s)
- Jiazhen Zhou
- Institute of Neuroscience and MOE Key Laboratory of Molecular Neurobiology, Second Military Medical University, Shanghai, 200433, China
| | - Yuanyuan Li
- Institute of Neuroscience and MOE Key Laboratory of Molecular Neurobiology, Second Military Medical University, Shanghai, 200433, China
| | - Cheng He
- Institute of Neuroscience and MOE Key Laboratory of Molecular Neurobiology, Second Military Medical University, Shanghai, 200433, China.
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26
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Charruau P, Johnston RA, Stahler DR, Lea A, Snyder-Mackler N, Smith DW, vonHoldt BM, Cole SW, Tung J, Wayne RK. Pervasive Effects of Aging on Gene Expression in Wild Wolves. Mol Biol Evol 2016; 33:1967-78. [PMID: 27189566 DOI: 10.1093/molbev/msw072] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Gene expression levels change as an individual ages and responds to environmental conditions. With the exception of humans, such patterns have principally been studied under controlled conditions, overlooking the array of developmental and environmental influences that organisms encounter under conditions in which natural selection operates. We used high-throughput RNA sequencing (RNA-Seq) of whole blood to assess the relative impacts of social status, age, disease, and sex on gene expression levels in a natural population of gray wolves (Canis lupus). Our findings suggest that age is broadly associated with gene expression levels, whereas other examined factors have minimal effects on gene expression patterns. Further, our results reveal evolutionarily conserved signatures of senescence, such as immunosenescence and metabolic aging, between wolves and humans despite major differences in life history and environment. The effects of aging on gene expression levels in wolves exhibit conservation with humans, but the more rapid expression differences observed in aging wolves is evolutionarily appropriate given the species' high level of extrinsic mortality due to intraspecific aggression. Some expression changes that occur with age can facilitate physical age-related changes that may enhance fitness in older wolves. However, the expression of these ancestral patterns of aging in descendant modern dogs living in highly modified domestic environments may be maladaptive and cause disease. This work provides evolutionary insight into aging patterns observed in domestic dogs and demonstrates the applicability of studying natural populations to investigate the mechanisms of aging.
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Affiliation(s)
- Pauline Charruau
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles
| | - Rachel A Johnston
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles
| | - Daniel R Stahler
- Yellowstone Center for Resources, National Park Service, Yellowstone National Park
| | | | | | - Douglas W Smith
- Yellowstone Center for Resources, National Park Service, Yellowstone National Park
| | | | - Steven W Cole
- Department of Medicine, University of California, Los Angeles Cousins Center for Psychoneuroimmunology, Semel Institute, University of California, Los Angeles
| | - Jenny Tung
- Department of Biology, Duke University Department of Evolutionary Anthropology, Duke University
| | - Robert K Wayne
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles
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27
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Developing Peripheral Blood Gene Expression-Based Diagnostic Tests for Coronary Artery Disease: a Review. J Cardiovasc Transl Res 2015; 8:372-80. [DOI: 10.1007/s12265-015-9641-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Accepted: 06/10/2015] [Indexed: 12/16/2022]
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28
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Pu M, Ni Z, Wang M, Wang X, Wood JG, Helfand SL, Yu H, Lee SS. Trimethylation of Lys36 on H3 restricts gene expression change during aging and impacts life span. Genes Dev 2015; 29:718-31. [PMID: 25838541 PMCID: PMC4387714 DOI: 10.1101/gad.254144.114] [Citation(s) in RCA: 87] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Pu et al. profiled the genome-wide pattern of trimethylation of Lys36 on histone 3 (H3K36me3) in the somatic cells of young and old C. elegans. Genes with dramatic expression change during aging are marked with low or undetectable levels of H3K36me3 in their gene bodies. A similar negative correlation between H3K36me3 marking and mRNA expression change during aging is also observed in Drosophila melanogaster. Inactivation of the methyltransferase met-1 resulted in a decrease in global H3K36me3 marks, an increase in mRNA expression change with age, and a shortened life span. Functional data indicate that specific histone modification enzymes can be key to longevity in Caenorhabditis elegans, but the molecular basis of how chromatin structure modulates longevity is not well understood. In this study, we profiled the genome-wide pattern of trimethylation of Lys36 on histone 3 (H3K36me3) in the somatic cells of young and old Caenorhabditis elegans. We revealed a new role of H3K36me3 in maintaining gene expression stability through aging with important consequences on longevity. We found that genes with dramatic expression change during aging are marked with low or even undetectable levels of H3K36me3 in their gene bodies irrespective of their corresponding mRNA abundance. Interestingly, 3′ untranslated region (UTR) length strongly correlates with H3K36me3 levels and age-dependent mRNA expression stability. A similar negative correlation between H3K36me3 marking and mRNA expression change during aging was also observed in Drosophila melanogaster, suggesting a conserved mechanism for H3K36me3 in suppressing age-dependent mRNA expression change. Importantly, inactivation of the methyltransferase met-1 resulted in a decrease in global H3K36me3 marks, an increase in mRNA expression change with age, and a shortened life span, suggesting a causative role of the H3K36me3 marking in modulating age-dependent gene expression stability and longevity.
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Affiliation(s)
- Mintie Pu
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14850, USA
| | - Zhuoyu Ni
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14850, USA
| | - Minghui Wang
- Computational Biology Service Unit, Cornell University, Ithaca, New York 14850, USA
| | - Xiujuan Wang
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14850, USA; Department of Biostatistics and Computational Biology, Weill Institute, Cornell University, Ithaca, New York 14850, USA
| | - Jason G Wood
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island 02912, USA
| | - Stephen L Helfand
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island 02912, USA
| | - Haiyuan Yu
- Department of Biostatistics and Computational Biology, Weill Institute, Cornell University, Ithaca, New York 14850, USA
| | - Siu Sylvia Lee
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York 14850, USA;
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29
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O’Connor JE, Herrera G, Martínez-Romero A, de Oyanguren FS, Díaz L, Gomes A, Balaguer S, Callaghan RC. Systems Biology and immune aging. Immunol Lett 2014; 162:334-45. [DOI: 10.1016/j.imlet.2014.09.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2014] [Accepted: 09/12/2014] [Indexed: 10/24/2022]
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30
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Snyder‐Mackler N, Somel M, Tung J. Shared signatures of social stress and aging in peripheral blood mononuclear cell gene expression profiles. Aging Cell 2014; 13:954-7. [PMID: 24956926 PMCID: PMC4172541 DOI: 10.1111/acel.12239] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/23/2014] [Indexed: 01/09/2023] Open
Abstract
Chronic social stress is a predictor of both aging-related disease and mortality risk. Hence, chronic stress has been hypothesized to directly exacerbate the process of physiological aging. Here, we evaluated this hypothesis at the level of gene regulation. We compared two data sets of genome-wide gene expression levels in peripheral blood mononuclear cells (PBMCs): one that captured aging effects and another that focused on chronic social stress. Overall, we found that the direction, although not necessarily the magnitude, of significant gene expression changes tends to be shared between the two data sets. This overlap was observable at three levels: (i) individual genes; (ii) general functional categories of genes; and (iii) molecular pathways implicated in aging. However, we also found evidence that heterogeneity in PBMC composition limits the power to detect more extensive similarities, suggesting that our findings reflect an underestimate of the degree to which age and social stress influence gene regulation in parallel. Cell type-specific data on gene regulation will be important to overcome this limitation in the future studies.
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Affiliation(s)
- Noah Snyder‐Mackler
- Department of Evolutionary Anthropology Duke University Box 90383 Durham NC 27708USA
- Duke University Population Research Institute Box 90989Durham NC 27708 USA
| | - Mehmet Somel
- Department of Biological Sciences Middle East Technical University 06800 Ankara Turkey
| | - Jenny Tung
- Department of Evolutionary Anthropology Duke University Box 90383 Durham NC 27708USA
- Duke University Population Research Institute Box 90989Durham NC 27708 USA
- Department of Biology Duke University Box 90338 Durham NC 27708 USA
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31
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O'Connor JE, Herrera G, Martínez-Romero A, Oyanguren FSD, Díaz L, Gomes A, Balaguer S, Callaghan RC. WITHDRAWN: Systems Biology and Immune Aging. Immunol Lett 2014:S0165-2478(14)00197-7. [PMID: 25251659 DOI: 10.1016/j.imlet.2014.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2014] [Accepted: 09/12/2014] [Indexed: 10/24/2022]
Abstract
The Publisher regrets that this article is an accidental duplication of anarticle that has already been published, http://dx.doi.org/10.1016/j.imlet.2014.09.009. The duplicate article has therefore been withdrawn.
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Affiliation(s)
- José-Enrique O'Connor
- Laboratory of Translational Cytomics, Joint Research Unit, The University of Valencia and Principe Felipe Research Center, Valencia, Spain; Cytometry Laboratory, Incliva Foundation, Clinical University Hospital, The University of Valencia, Valencia, Spain.
| | - Guadalupe Herrera
- Laboratory of Translational Cytomics, Joint Research Unit, The University of Valencia and Principe Felipe Research Center, Valencia, Spain; Cytometry Laboratory, Incliva Foundation, Clinical University Hospital, The University of Valencia, Valencia, Spain
| | - Alicia Martínez-Romero
- Cytometry Technological Service, Principe Felipe Research Center, Valencia, Spain; Cytometry Laboratory, Incliva Foundation, Clinical University Hospital, The University of Valencia, Valencia, Spain
| | - Francisco Sala-de Oyanguren
- Laboratory of Translational Cytomics, Joint Research Unit, The University of Valencia and Principe Felipe Research Center, Valencia, Spain; Cytometry Laboratory, Incliva Foundation, Clinical University Hospital, The University of Valencia, Valencia, Spain
| | - Laura Díaz
- Laboratory of Translational Cytomics, Joint Research Unit, The University of Valencia and Principe Felipe Research Center, Valencia, Spain; Cytometry Laboratory, Incliva Foundation, Clinical University Hospital, The University of Valencia, Valencia, Spain
| | - Angela Gomes
- Laboratory of Translational Cytomics, Joint Research Unit, The University of Valencia and Principe Felipe Research Center, Valencia, Spain; Cytometry Laboratory, Incliva Foundation, Clinical University Hospital, The University of Valencia, Valencia, Spain
| | - Susana Balaguer
- Laboratory of Translational Cytomics, Joint Research Unit, The University of Valencia and Principe Felipe Research Center, Valencia, Spain; Cytometry Laboratory, Incliva Foundation, Clinical University Hospital, The University of Valencia, Valencia, Spain
| | - Robert C Callaghan
- Department of Pathology, Faculty of Medicine, The University of Valencia, Valencia, Spain; Cytometry Laboratory, Incliva Foundation, Clinical University Hospital, The University of Valencia, Valencia, Spain
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32
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van den Akker EB, Passtoors WM, Jansen R, van Zwet EW, Goeman JJ, Hulsman M, Emilsson V, Perola M, Willemsen G, Penninx BW, Heijmans BT, Maier AB, Boomsma DI, Kok JN, Slagboom PE, Reinders MJ, Beekman M. Meta-analysis on blood transcriptomic studies identifies consistently coexpressed protein-protein interaction modules as robust markers of human aging. Aging Cell 2014; 13:216-25. [PMID: 24119000 PMCID: PMC4331790 DOI: 10.1111/acel.12160] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/06/2013] [Indexed: 11/30/2022] Open
Abstract
The bodily decline that occurs with advancing age strongly impacts on the prospects for future health and life expectancy. Despite the profound role of age in disease etiology, knowledge about the molecular mechanisms driving the process of aging in humans is limited. Here, we used an integrative network-based approach for combining multiple large-scale expression studies in blood (2539 individuals) with protein–protein Interaction (PPI) data for the detection of consistently coexpressed PPI modules that may reflect key processes that change throughout the course of normative aging. Module detection followed by a meta-analysis on chronological age identified fifteen consistently coexpressed PPI modules associated with chronological age, including a highly significant module (P = 3.5 × 10−38) enriched for ‘T-cell activation’ marking age-associated shifts in lymphocyte blood cell counts (R2 = 0.603; P = 1.9 × 10−10). Adjusting the analysis in the compendium for the ‘T-cell activation’ module showed five consistently coexpressed PPI modules that robustly associated with chronological age and included modules enriched for ‘Translational elongation’, ‘Cytolysis’ and ‘DNA metabolic process’. In an independent study of 3535 individuals, four of five modules consistently associated with chronological age, underpinning the robustness of the approach. We found three of five modules to be significantly enriched with aging-related genes, as defined by the GenAge database, and association with prospective survival at high ages for one of the modules including ASF1A. The hereby-detected age-associated and consistently coexpressed PPI modules therefore may provide a molecular basis for future research into mechanisms underlying human aging.
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Affiliation(s)
- Erik B. van den Akker
- Department of Molecular Epidemiology; Leiden University Medical Center; PO Box 9600 2300 RC Leiden The Netherlands
- The Delft Bioinformatics Lab; Delft University of Technology; PO Box 5031 2600 GA Delft The Netherlands
| | - Willemijn M. Passtoors
- Department of Molecular Epidemiology; Leiden University Medical Center; PO Box 9600 2300 RC Leiden The Netherlands
| | - Rick Jansen
- Department of Psychiatry; VU University Medical Center; Neuroscience Campus Amsterdam; VU University Medical Center; A.J. Ernststraat 1187 1081 HL Amsterdam The Netherlands
- EMGO Institute for Health and Care Research; Neuroscience Campus Amsterdam; Van der Boechorststraat 7 1081 BT Amsterdam The Netherlands
| | - Erik W. van Zwet
- Department of Medical Statistics; Leiden University Medical Center; PO Box 9600 2300 RC Leiden The Netherlands
| | - Jelle J. Goeman
- Department of Medical Statistics; Leiden University Medical Center; PO Box 9600 2300 RC Leiden The Netherlands
| | - Marc Hulsman
- The Delft Bioinformatics Lab; Delft University of Technology; PO Box 5031 2600 GA Delft The Netherlands
| | - Valur Emilsson
- Icelandic Heart Association; Holtasmari 1 IS-201 Kópavogur Iceland
| | - Markus Perola
- National Institute for Health and Welfare; PO Box 30 00271 Helsinki Finland
| | - Gonneke Willemsen
- Department of Biological Psychology; VU University; Van der Boechorststraat 7 1081 BT Amsterdam The Netherlands
| | - Brenda W.J.H. Penninx
- Department of Psychiatry; VU University Medical Center; Neuroscience Campus Amsterdam; VU University Medical Center; A.J. Ernststraat 1187 1081 HL Amsterdam The Netherlands
- EMGO Institute for Health and Care Research; Neuroscience Campus Amsterdam; Van der Boechorststraat 7 1081 BT Amsterdam The Netherlands
| | - Bas T. Heijmans
- Department of Molecular Epidemiology; Leiden University Medical Center; PO Box 9600 2300 RC Leiden The Netherlands
| | - Andrea B. Maier
- Section of Gerontology and Geriatrics; Department of Internal Medicine; VU University Medical Center; De Boelelaan 1117 1007 MB Amsterdam The Netherlands
| | - Dorret I. Boomsma
- EMGO Institute for Health and Care Research; Neuroscience Campus Amsterdam; Van der Boechorststraat 7 1081 BT Amsterdam The Netherlands
- Department of Biological Psychology; VU University; Van der Boechorststraat 7 1081 BT Amsterdam The Netherlands
| | - Joost N. Kok
- Department of Molecular Epidemiology; Leiden University Medical Center; PO Box 9600 2300 RC Leiden The Netherlands
- Department of Algorithms; Leiden Institute of Advanced Computer Science; University of Leiden; Niels Bohrweg 1 2333 CA Leiden The Netherlands
| | - Pieternella E. Slagboom
- Department of Molecular Epidemiology; Leiden University Medical Center; PO Box 9600 2300 RC Leiden The Netherlands
- Netherlands Consortium for Healthy Ageing; Leiden University Medical Center; PO Box 9600 2300 RC Leiden The Netherlands
| | - Marcel J.T. Reinders
- The Delft Bioinformatics Lab; Delft University of Technology; PO Box 5031 2600 GA Delft The Netherlands
| | - Marian Beekman
- Department of Molecular Epidemiology; Leiden University Medical Center; PO Box 9600 2300 RC Leiden The Netherlands
- Netherlands Consortium for Healthy Ageing; Leiden University Medical Center; PO Box 9600 2300 RC Leiden The Netherlands
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Zhavoronkov A, Buzdin AA, Garazha AV, Borisov NM, Moskalev AA. Signaling pathway cloud regulation for in silico screening and ranking of the potential geroprotective drugs. Front Genet 2014; 5:49. [PMID: 24624136 PMCID: PMC3940060 DOI: 10.3389/fgene.2014.00049] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2013] [Accepted: 02/16/2014] [Indexed: 12/24/2022] Open
Abstract
The major challenges of aging research include absence of the comprehensive set of aging biomarkers, the time it takes to evaluate the effects of various interventions on longevity in humans and the difficulty extrapolating the results from model organisms to humans. To address these challenges we propose the in silico method for screening and ranking the possible geroprotectors followed by the high-throughput in vivo and in vitro validation. The proposed method evaluates the changes in the collection of activated or suppressed signaling pathways involved in aging and longevity, termed signaling pathway cloud, constructed using the gene expression data and epigenetic profiles of young and old patients' tissues. The possible interventions are selected and rated according to their ability to regulate age-related changes and minimize differences in the signaling pathway cloud. While many algorithmic solutions to simulating the induction of the old into young metabolic profiles in silico are possible, this flexible and scalable approach may potentially be used to predict the efficacy of the many drugs that may extend human longevity before conducting pre-clinical work and expensive clinical trials.
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Affiliation(s)
- Alex Zhavoronkov
- Department of Biological and Medical Physics, Moscow Institute of Physics and Technology Dolgoprudny, Russia ; First Oncology Research and Advisory Center Moscow, Russia ; The Biogerontology Research Foundation London, UK ; Department of Experimental and Molecular Medicine, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology Moscow, Russia
| | - Anton A Buzdin
- Department of Biological and Medical Physics, Moscow Institute of Physics and Technology Dolgoprudny, Russia ; First Oncology Research and Advisory Center Moscow, Russia ; Department of Experimental and Molecular Medicine, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology Moscow, Russia ; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences Moscow, Russia
| | - Andrey V Garazha
- Department of Biological and Medical Physics, Moscow Institute of Physics and Technology Dolgoprudny, Russia ; First Oncology Research and Advisory Center Moscow, Russia ; Department of Experimental and Molecular Medicine, D. Rogachyov Federal Research Center of Pediatric Hematology, Oncology and Immunology Moscow, Russia ; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences Moscow, Russia
| | - Nikolay M Borisov
- Department of Biological and Medical Physics, Moscow Institute of Physics and Technology Dolgoprudny, Russia ; First Oncology Research and Advisory Center Moscow, Russia ; Burnasyan Federal Medical Biophysical Center Moscow, Russia
| | - Alexey A Moskalev
- Department of Biological and Medical Physics, Moscow Institute of Physics and Technology Dolgoprudny, Russia ; Department of Ecology, Syktyvkar State University Syktyvkar, Russia ; Laboratory of Molecular Radiobiology and Gerontology, Institute of Biology of Komi Science Center of Ural Branch of Russian Academy of Sciences Syktyvkar, Russia
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Valdes AM, Glass D, Spector TD. Omics technologies and the study of human ageing. Nat Rev Genet 2013; 14:601-7. [PMID: 23938363 DOI: 10.1038/nrg3553] [Citation(s) in RCA: 81] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Normal ageing is associated with diverse physiological changes in all organ systems but the rate and extent of these changes vary markedly among individuals. One aspect of ageing research focuses on the molecular profiling of the changes that occur with increasing age in humans. Such profiling has implications for disease prevention and treatment. New high-throughput 'omics' technologies (such as genomics, metabolomics, metagenomics and transcriptomics) are enabling detailed studies of these molecular changes and are thus revealing information about the biological pathways that change with age.
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Affiliation(s)
- Ana M Valdes
- 1] Department of Twin Research and Genetic Epidemiology, Kings College London, London SE1 7EH, UK. [2] Academic Rheumatology, University of Nottingham, Nottingham NG5 1PB, UK
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Yao J, de la Iglesia HO, Bajjalieh SM. Loss of the SV2-like protein SVOP produces no apparent deficits in laboratory mice. PLoS One 2013; 8:e68215. [PMID: 23894296 PMCID: PMC3722232 DOI: 10.1371/journal.pone.0068215] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2013] [Accepted: 05/28/2013] [Indexed: 11/18/2022] Open
Abstract
Neurons express two families of transporter-like proteins − Synaptic Vesicle protein 2 (SV2A, B, and C) and SV2-related proteins (SVOP and SVOPL). Both families share structural similarity with the Major Facilitator (MF) family of transporters. SV2 is present in all neurons and endocrine cells, consistent with it playing a key role in regulated exocytosis. Like SV2, SVOP is expressed in all brain regions, with highest levels in cerebellum, hindbrain and pineal gland. Furthermore, SVOP is expressed earlier in development than SV2 and is one of the neuronal proteins whose expression declines most during aging. Although SV2 is essential for survival, it is not required for development. Because significant levels of neurotransmission remain in the absence of SV2 it has been proposed that SVOP performs a function similar to that of SV2 that mitigates the phenotype of SV2 knockout mice. To test this, we generated SVOP knockout mice and SVOP/SV2A/SV2B triple knockout mice. Mice lacking SVOP are viable, fertile and phenotypically normal. Measures of neurotransmission and behaviors dependent on the cerebellum and pineal gland revealed no measurable phenotype. SVOP/SV2A/SV2B triple knockout mice did not display a phenotype more severe than mice harboring the SV2A/SV2B gene deletions. These findings support the interpretation that SVOP performs a unique, though subtle, function that is not necessary for survival under normal conditions.
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Affiliation(s)
- Jia Yao
- Department of Pharmacology, University of Washington, Seattle, Washington, United States of America
| | | | - Sandra M. Bajjalieh
- Department of Pharmacology, University of Washington, Seattle, Washington, United States of America
- * E-mail:
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Transcriptional analysis reveals gender-specific changes in the aging of the human immune system. PLoS One 2013; 8:e66229. [PMID: 23776639 PMCID: PMC3679079 DOI: 10.1371/journal.pone.0066229] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2012] [Accepted: 05/02/2013] [Indexed: 01/07/2023] Open
Abstract
Aging and gender have a strong influence on the functional capacity of the immune system. In general, the immune response in females is stronger than that in males, but there is scant information about the effect of aging on the gender difference in the immune response. To address this question, we performed a transcriptomic analysis of peripheral blood mononuclear cells derived from elderly individuals (nonagenarians, n = 146) and young controls (aged 19–30 years, n = 30). When compared to young controls, we found 339 and 248 genes that were differentially expressed (p<0.05, fold change >1.5 or <−1.5) in nonagenarian females and males, respectively, 180 of these genes were changed in both genders. An analysis of the affected signaling pathways revealed a clear gender bias: there were 48 pathways that were significantly changed in females, while only 29 were changed in males. There were 24 pathways that were shared between both genders. Our results indicate that female nonagenarians have weaker T cell defenses and a more prominent pro-inflammatory response as compared to males. In males significantly fewer pathways were affected, two of which are known to be regulated by estrogen. These data show that the effects of aging on the human immune system are significantly different in males and females.
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Kochunov P, Charlesworth J, Winkler A, Hong LE, Nichols TE, Curran JE, Sprooten E, Jahanshad N, Thompson PM, Johnson MP, Kent JW, Landman BA, Mitchell B, Cole SA, Dyer TD, Moses EK, Goring HHH, Almasy L, Duggirala R, Olvera RL, Glahn DC, Blangero J. Transcriptomics of cortical gray matter thickness decline during normal aging. Neuroimage 2013; 82:273-83. [PMID: 23707588 DOI: 10.1016/j.neuroimage.2013.05.066] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2013] [Revised: 04/23/2013] [Accepted: 05/14/2013] [Indexed: 01/27/2023] Open
Abstract
INTRODUCTION We performed a whole-transcriptome correlation analysis, followed by the pathway enrichment and testing of innate immune response pathway analyses to evaluate the hypothesis that transcriptional activity can predict cortical gray matter thickness (GMT) variability during normal cerebral aging. METHODS Transcriptome and GMT data were available for 379 individuals (age range=28-85) community-dwelling members of large extended Mexican American families. Collection of transcriptome data preceded that of neuroimaging data by 17 years. Genome-wide gene transcriptome data consisted of 20,413 heritable lymphocytes-based transcripts. GMT measurements were performed from high-resolution (isotropic 800 μm) T1-weighted MRI. Transcriptome-wide and pathway enrichment analysis was used to classify genes correlated with GMT. Transcripts for sixty genes from seven innate immune pathways were tested as specific predictors of GMT variability. RESULTS Transcripts for eight genes (IGFBP3, LRRN3, CRIP2, SCD, IDS, TCF4, GATA3, and HN1) passed the transcriptome-wide significance threshold. Four orthogonal factors extracted from this set predicted 31.9% of the variability in the whole-brain and between 23.4 and 35% of regional GMT measurements. Pathway enrichment analysis identified six functional categories including cellular proliferation, aggregation, differentiation, viral infection, and metabolism. The integrin signaling pathway was significantly (p<10(-6)) enriched with GMT. Finally, three innate immune pathways (complement signaling, toll-receptors and scavenger and immunoglobulins) were significantly associated with GMT. CONCLUSION Expression activity for the genes that regulate cellular proliferation, adhesion, differentiation and inflammation can explain a significant proportion of individual variability in cortical GMT. Our findings suggest that normal cerebral aging is the product of a progressive decline in regenerative capacity and increased neuroinflammation.
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Affiliation(s)
- P Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, USA.
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Pinto M, Pickrell AM, Fukui H, Moraes CT. Mitochondrial DNA damage in a mouse model of Alzheimer's disease decreases amyloid beta plaque formation. Neurobiol Aging 2013; 34:2399-2407. [PMID: 23702344 DOI: 10.1016/j.neurobiolaging.2013.04.014] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2013] [Revised: 04/05/2013] [Accepted: 04/14/2013] [Indexed: 12/29/2022]
Abstract
Mitochondrial DNA (mtDNA) damage and the generation of reactive oxygen species have been associated with and implicated in the development and progression of Alzheimer's disease. To study how mtDNA damage affects reactive oxygen species and amyloid beta (Aβ) pathology in vivo, we generated an Alzheimer's disease mouse model expressing an inducible mitochondrial-targeted endonuclease (Mito-PstI) in the central nervous system. Mito-PstI cleaves mtDNA causing mostly an mtDNA depletion, which leads to a partial oxidative phosphorylation defect when expressed during a short period in adulthood. We found that a mild mitochondrial dysfunction in adult neurons did not exacerbate Aβ accumulation and decreased plaque pathology. Mito-PstI expression altered the cleavage pathway of amyloid precursor protein without increasing oxidative stress in the brain. These data suggest that mtDNA damage is not a primary cause of Aβ accumulation.
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Affiliation(s)
- Milena Pinto
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Alicia M Pickrell
- Neuroscience Graduate Program, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Hirokazu Fukui
- Neuroscience Graduate Program, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Carlos T Moraes
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA.,Neuroscience Graduate Program, University of Miami Miller School of Medicine, Miami, FL, USA.,Department of Cell Biology and Anatomy, University of Miami Miller School of Medicine, Miami, FL, USA
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Deelen J, Beekman M, Capri M, Franceschi C, Slagboom PE. Identifying the genomic determinants of aging and longevity in human population studies: progress and challenges. Bioessays 2013; 35:386-96. [PMID: 23423909 PMCID: PMC3633240 DOI: 10.1002/bies.201200148] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Human lifespan variation is mainly determined by environmental factors, whereas the genetic contribution is 25–30% and expected to be polygenic. Two complementary fields go hand in hand in order to unravel the mechanisms of biological aging: genomic and biomarker research. Explorative and candidate gene studies of the human genome by genetic, transcriptomic, and epigenomic approaches have resulted in the identification of a limited number of interesting positive linkage regions, genes, and pathways that contribute to lifespan variation. The possibilities to further exploit these findings are rapidly increasing through the use of novel technologies, such as next-generation sequencing. Genomic research is progressively being integrated with biomarker studies on aging, including the application of (noninvasive) deep phenotyping and omics data – generated using novel technologies – in a wealth of studies in human populations. Hence, these studies may assist in obtaining a more holistic perspective on the role of the genome in aging and lifespan regulation.
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Affiliation(s)
- Joris Deelen
- Section of Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
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Lai WF. Nucleic acid delivery: roles in biogerontological interventions. Ageing Res Rev 2013; 12:310-5. [PMID: 22982112 DOI: 10.1016/j.arr.2012.08.003] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2012] [Revised: 08/29/2012] [Accepted: 08/30/2012] [Indexed: 12/27/2022]
Abstract
Prolongation of longevity is a history-long desire of humans. Driven by the genetic contribution to longevity and the remarkable plasticity of healthy lifespan as demonstrated in animal models, arduous efforts have been directed to aging and longevity research over the years. Today, our understanding of lifespan determination is much greater than it was in the past, but administrable interventions for longevity enhancement are still virtually absent. The aim of this article is to highlight the technical gap between basic biogerontological research and intervention development, and to explore the importance of nucleic acid (NA) delivery technologies in bridging the gap. It is hoped that this article can engender more awareness of the roles of NA delivery technologies in biogerontological interventions, particularly NA therapy.
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Naumova OY, Lee M, Rychkov SY, Vlasova NV, Grigorenko EL. Gene expression in the human brain: the current state of the study of specificity and spatiotemporal dynamics. Child Dev 2012; 84:76-88. [PMID: 23145569 DOI: 10.1111/cdev.12014] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Gene expression is one of the main molecular processes regulating the differentiation, development, and functioning of cells and tissues. In this review a handful of relevant terms and concepts are introduced and the most common techniques used in studies of gene expression/expression profiling (also referred to as studies of the transcriptome or transcriptomics) are described. The main foci of this review are the advancements in studies of the transcriptome in the human brain, the transcriptome's variability across different brain structures, and the systematic changes that occur through different developmental stages across the life span in general and childhood in particular. Finally, the question of how the accumulating data on the spatial and temporal dynamics of the transcriptome may shed light on the molecular mechanisms of the typical and atypical development of the central nervous system is addressed.
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42
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Finkel OM, Béjà O, Belkin S. Global abundance of microbial rhodopsins. ISME JOURNAL 2012; 7:448-51. [PMID: 23051692 DOI: 10.1038/ismej.2012.112] [Citation(s) in RCA: 79] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Photochemical reaction centers and rhodopsins are the only phototrophic mechanisms known to have evolved on Earth. The minimal cost of bearing a rhodopsin-based phototrophic mechanism in comparison to maintaining a photochemical reaction center suggests that rhodopsin is the more abundant of the two. We tested this hypothesis by conducting a global abundance calculation of phototrophic mechanisms from 116 marine and terrestrial microbial metagenomes. On average, 48% of the cells from which these metagenomes were generated harbored a rhodopsin gene, exceeding the reaction center abundance by threefold. Evidence from metatranscriptomic data suggests that this genomic potential is realized to a substantial extent, at least for the small-sized (>0.8 μm) of microbial fractions.
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Affiliation(s)
- Omri M Finkel
- Department of Plant and Environmental Sciences, Alexander Silberman Institute of Life Sciences, Hebrew University of Jerusalem, Jerusalem, Israel
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43
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Bakulski KM, Dolinoy DC, Sartor MA, Paulson HL, Konen JR, Lieberman AP, Albin RL, Hu H, Rozek LS. Genome-wide DNA methylation differences between late-onset Alzheimer's disease and cognitively normal controls in human frontal cortex. J Alzheimers Dis 2012; 29:571-88. [PMID: 22451312 DOI: 10.3233/jad-2012-111223] [Citation(s) in RCA: 180] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Evidence supports a role for epigenetic mechanisms in the pathogenesis of late-onset Alzheimer's disease (LOAD), but little has been done on a genome-wide scale to identify potential sites involved in disease. This study investigates human postmortem frontal cortex genome-wide DNA methylation profiles between 12 LOAD and 12 cognitively normal age- and gender-matched subjects. Quantitative DNA methylation is determined at 27,578 CpG sites spanning 14,475 genes via the Illumina Infinium HumanMethylation27 BeadArray. Data are analyzed using parallel linear models adjusting for age and gender with empirical Bayes standard error methods. Gene-specific technical and functional validation is performed on an additional 13 matched pair samples, encompassing a wider age range. Analysis reveals 948 CpG sites representing 918 unique genes as potentially associated with LOAD disease status pending confirmation in additional study populations. Across these 948 sites the subtle mean methylation difference between cases and controls is 2.9%. The CpG site with a minimum false discovery rate located in the promoter of the gene Transmembrane Protein 59 (TMEM59) is 7.3% hypomethylated in cases. Methylation at this site is functionally associated with tissue RNA and protein levels of the TMEM59 gene product. The TMEM59 gene identified from our discovery approach was recently implicated in amyloid-β protein precursor post-translational processing, supporting a role for epigenetic change in LOAD pathology. This study demonstrates widespread, modest discordant DNA methylation in LOAD-diseased tissue independent from DNA methylation changes with age. Identification of epigenetic biomarkers of LOAD risk may allow for the development of novel diagnostic and therapeutic targets.
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Affiliation(s)
- Kelly M Bakulski
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
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Kent JW, Göring HHH, Charlesworth JC, Drigalenko E, Diego VP, Curran JE, Johnson MP, Dyer TD, Cole SA, Jowett JBM, Mahaney MC, Comuzzie AG, Almasy L, Moses EK, Blangero J, Williams-Blangero S. Genotype×age interaction in human transcriptional ageing. Mech Ageing Dev 2012; 133:581-90. [PMID: 22871458 DOI: 10.1016/j.mad.2012.07.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2011] [Revised: 07/05/2012] [Accepted: 07/21/2012] [Indexed: 01/24/2023]
Abstract
Individual differences in biological ageing (i.e., the rate of physiological response to the passage of time) may be due in part to genotype-specific variation in gene action. However, the sources of heritable variation in human age-related gene expression profiles are largely unknown. We have profiled genome-wide expression in peripheral blood mononuclear cells from 1240 individuals in large families and found 4472 human autosomal transcripts, representing ~4349 genes, significantly correlated with age. We identified 623 transcripts that show genotype by age interaction in addition to a main effect of age, defining a large set of novel candidates for characterization of the mechanisms of differential biological ageing. We applied a novel SNP genotype × age interaction test to one of these candidates, the ubiquilin-like gene UBQLNL, and found evidence of joint cis-association and genotype by age interaction as well as trans-genotype by age interaction for UBQLNL expression. Both UBQLNL expression levels at recruitment and cis genotype are associated with longitudinal cancer risk in our study cohort.
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Affiliation(s)
- Jack W Kent
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX 78245, USA.
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Pilling LC, Harries LW, Powell J, Llewellyn DJ, Ferrucci L, Melzer D. Genomics and successful aging: grounds for renewed optimism? J Gerontol A Biol Sci Med Sci 2012; 67:511-9. [PMID: 22454374 DOI: 10.1093/gerona/gls091] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Successful aging depends in part on delaying age-related disease onsets until later in life. Conditions including coronary artery disease, Alzheimer's disease, prostate cancer, and type 2 diabetes are moderately heritable. Genome-wide association studies have identified many risk associated single-nucleotide polymorphisms for these conditions, but much heritability remains unaccounted for. Nevertheless, a great deal is being learned. METHODS Here, we review age-related disease associated single-nucleotide polymorphisms and identify key underlying pathways including lipid handling, specific immune processes, early tissue development, and cell cycle control. RESULTS Most age-related disease associated single-nucleotide polymorphisms do not affect coding regions of genes or protein makeup but instead influence regulation of gene expression. Recent evidence indicates that evolution of gene regulatory sites is fundamental to interspecies differences. Animal models relevant to human aging may therefore need to focus more on gene regulation rather than testing major disruptions to fundamental pathway genes. Recent larger scale human studies of in vivo genome-wide expression (notably from the InCHIANTI aging study) have identified changes in splicing, the "fine tuning" of protein sequences, as a potentially important factor in decline of cellular function with age. Studies of expression with muscle strength and cognition have shown striking concordance with certain mice models of muscle repair and beta-amyloid phagocytosis respectively. CONCLUSIONS The emerging clearer picture of the genetic architecture of age-related diseases in humans is providing new insights into the underlying pathophysiological pathways involved. Translation of genomics into new approaches to prevention, tests and treatments to extend successful aging is therefore likely in the coming decades.
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Affiliation(s)
- L C Pilling
- Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, UK
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Transcriptional profiling of human familial longevity indicates a role for ASF1A and IL7R. PLoS One 2012; 7:e27759. [PMID: 22247756 PMCID: PMC3256132 DOI: 10.1371/journal.pone.0027759] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2011] [Accepted: 10/24/2011] [Indexed: 12/03/2022] Open
Abstract
The Leiden Longevity Study consists of families that express extended survival across generations, decreased morbidity in middle-age, and beneficial metabolic profiles. To identify which pathways drive this complex phenotype of familial longevity and healthy aging, we performed a genome-wide gene expression study within this cohort to screen for mRNAs whose expression changes with age and associates with longevity. We first compared gene expression profiles from whole blood samples between 50 nonagenarians and 50 middle-aged controls, resulting in identification of 2,953 probes that associated with age. Next, we determined which of these probes associated with longevity by comparing the offspring of the nonagenarians (50 subjects) and the middle-aged controls. The expression of 360 probes was found to change differentially with age in members of the long-lived families. In a RT-qPCR replication experiment utilizing 312 controls, 332 offspring and 79 nonagenarians, we confirmed a nonagenarian specific expression profile for 21 genes out of 25 tested. Since only some of the offspring will have inherited the beneficial longevity profile from their long-lived parents, the contrast between offspring and controls is expected to be weak. Despite this dilution of the longevity effects, reduced expression levels of two genes, ASF1A and IL7R, involved in maintenance of chromatin structure and the immune system, associated with familial longevity already in middle-age. The size of this association increased when controls were compared to a subfraction of the offspring that had the highest probability to age healthily and become long-lived according to beneficial metabolic parameters. In conclusion, an “aging-signature” formed of 21 genes was identified, of which reduced expression of ASF1A and IL7R marked familial longevity already in middle-age. This indicates that expression changes of genes involved in metabolism, epigenetic control and immune function occur as a function of age, and some of these, like ASF1A and IL7R, represent early features of familial longevity and healthy ageing.
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Wang IM, Stone DJ, Nickle D, Loboda A, Puig O, Roberts C. Systems biology approach for new target and biomarker identification. Curr Top Microbiol Immunol 2012; 363:169-99. [PMID: 22903568 DOI: 10.1007/82_2012_252] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
The pharmaceutical industry is spending increasingly large amounts of money on the discovery and development of novel medicines, but this investment is not adequately paying off in an increased rate of newly approved drugs by the FDA. The post-genomic era has provided a wealth of novel approaches for generating large, high-dimensional genetic and transcriptomic data sets from large cohorts of preclinical species as well as normal and diseased individuals. This systems biology approach to understanding disease-related biology is revolutionizing our understanding of the cellular pathways and gene networks underlying the onset of disease, and the mechanisms of pharmacological treatments that ameliorate disease phenotypes. In this article, we review a number of approaches being used by pharmaceutical and biotechnology companies, e.g., high-throughput DNA genotyping, sequencing, and genome-wide gene expression profiling, to enable drug discovery and development through the identification of new drug targets and biomarkers of disease progression, drug pharmacodynamics, and predictive markers for selecting the patients most likely to respond to therapy.
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Affiliation(s)
- I-Ming Wang
- Informatics and Analysis, Merck Research Laboratory, West Point, PA 19486, USA.
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48
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Kim EB, Fang X, Fushan AA, Huang Z, Lobanov AV, Han L, Marino SM, Sun X, Turanov AA, Yang P, Yim SH, Zhao X, Kasaikina MV, Stoletzki N, Peng C, Polak P, Xiong Z, Kiezun A, Zhu Y, Chen Y, Kryukov GV, Zhang Q, Peshkin L, Yang L, Bronson RT, Buffenstein R, Wang B, Han C, Li Q, Chen L, Zhao W, Sunyaev SR, Park TJ, Zhang G, Wang J, Gladyshev VN. Genome sequencing reveals insights into physiology and longevity of the naked mole rat. Nature 2011; 479:223-7. [PMID: 21993625 PMCID: PMC3319411 DOI: 10.1038/nature10533] [Citation(s) in RCA: 424] [Impact Index Per Article: 32.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2011] [Accepted: 09/05/2011] [Indexed: 11/15/2022]
Abstract
The naked mole rat (NMR, Heterocephalus glaber) is a strictly subterranean, extraordinarily long-lived eusocial mammal1. Although the size of a mouse, its maximum lifespan exceeds 30 years and makes this animal the longest living rodent. NMRs show negligible senescence, no age-related increase in mortality, and high fecundity until death2. In addition to delayed aging, NMRs are resistant to both spontaneous cancer and experimentally induced tumorigenesis3,4. NMRs pose a challenge to the theories that link aging, cancer and redox homeostasis. Although characterized by significant oxidative stress5, the NMR proteome does not show age-related susceptibility to oxidative damage nor increased ubiquitination6. NMRs naturally reside in large colonies with a single breeding female, the “queen,” who suppresses the sexual maturity of her subordinates11. NMRs also live in full darkness, at low oxygen and high carbon dioxide concentrations7, and are unable to sustain thermogenesis8 nor feel certain types of pain9,10. Here we report sequencing and analysis of the NMR genome, which revealed unique genome features and molecular adaptations consistent with cancer resistance, poikilothermy, hairlessness, altered visual function, circadian rhythms and taste sensing, and insensitivity to low oxygen. This information provides insights into NMR’s exceptional longevity and capabilities to live in hostile conditions, in the dark and at low oxygen. The extreme traits of NMR, together with the reported genome and transcriptome information, offer unprecedented opportunities for understanding aging and advancing many other areas of biological and biomedical research.
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Affiliation(s)
- Eun Bae Kim
- Department of Bioinspired Science, Ewha Womans University, Seoul, 120-750, Korea
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Harries LW, Hernandez D, Henley W, Wood AR, Holly AC, Bradley-Smith RM, Yaghootkar H, Dutta A, Murray A, Frayling TM, Guralnik JM, Bandinelli S, Singleton A, Ferrucci L, Melzer D. Human aging is characterized by focused changes in gene expression and deregulation of alternative splicing. Aging Cell 2011; 10:868-78. [PMID: 21668623 PMCID: PMC3173580 DOI: 10.1111/j.1474-9726.2011.00726.x] [Citation(s) in RCA: 185] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Aging is a major risk factor for chronic disease in the human population, but there are little human data on gene expression alterations that accompany the process. We examined human peripheral blood leukocyte in-vivo RNA in a large-scale transcriptomic microarray study (subjects aged 30-104 years). We tested associations between probe expression intensity and advancing age (adjusting for confounding factors), initially in a discovery set (n= 58), following-up findings in a replication set (n=240). We confirmed expression of key results by real-time PCR. Of 16,571 expressed probes, only 295 (2%) were robustly associated with age. Just six probes were required for a highly efficient model for distinguishing between young and old (area under the curve in replication set; 95%). The focused nature of age-related gene expression may therefore provide potential biomarkers of aging. Similarly, only 7 of 1065 biological or metabolic pathways were age-associated, in gene set enrichment analysis, notably including the processing of messenger RNAs (mRNAs); [P<0.002, false discovery rate (FDR) q<0.05]. This is supported by our observation of age-associated disruption to the balance of alternatively expressed isoforms for selected genes, suggesting that modification of mRNA processing may be a feature of human aging.
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Affiliation(s)
- Lorna W Harries
- Institute of Biomedical and Clinical Sciences, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, UK.
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Elashoff MR, Wingrove JA, Beineke P, Daniels SE, Tingley WG, Rosenberg S, Voros S, Kraus WE, Ginsburg GS, Schwartz RS, Ellis SG, Tahirkheli N, Waksman R, McPherson J, Lansky AJ, Topol EJ. Development of a blood-based gene expression algorithm for assessment of obstructive coronary artery disease in non-diabetic patients. BMC Med Genomics 2011; 4:26. [PMID: 21443790 PMCID: PMC3072303 DOI: 10.1186/1755-8794-4-26] [Citation(s) in RCA: 93] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2010] [Accepted: 03/28/2011] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Alterations in gene expression in peripheral blood cells have been shown to be sensitive to the presence and extent of coronary artery disease (CAD). A non-invasive blood test that could reliably assess obstructive CAD likelihood would have diagnostic utility. RESULTS Microarray analysis of RNA samples from a 195 patient Duke CATHGEN registry case:control cohort yielded 2,438 genes with significant CAD association (p < 0.05), and identified the clinical/demographic factors with the largest effects on gene expression as age, sex, and diabetic status. RT-PCR analysis of 88 CAD classifier genes confirmed that diabetic status was the largest clinical factor affecting CAD associated gene expression changes. A second microarray cohort analysis limited to non-diabetics from the multi-center PREDICT study (198 patients; 99 case: control pairs matched for age and sex) evaluated gene expression, clinical, and cell population predictors of CAD and yielded 5,935 CAD genes (p < 0.05) with an intersection of 655 genes with the CATHGEN results. Biological pathway (gene ontology and literature) and statistical analyses (hierarchical clustering and logistic regression) were used in combination to select 113 genes for RT-PCR analysis including CAD classifiers, cell-type specific markers, and normalization genes.RT-PCR analysis of these 113 genes in a PREDICT cohort of 640 non-diabetic subject samples was used for algorithm development. Gene expression correlations identified clusters of CAD classifier genes which were reduced to meta-genes using LASSO. The final classifier for assessment of obstructive CAD was derived by Ridge Regression and contained sex-specific age functions and 6 meta-gene terms, comprising 23 genes. This algorithm showed a cross-validated estimated AUC = 0.77 (95% CI 0.73-0.81) in ROC analysis. CONCLUSIONS We have developed a whole blood classifier based on gene expression, age and sex for the assessment of obstructive CAD in non-diabetic patients from a combination of microarray and RT-PCR data derived from studies of patients clinically indicated for invasive angiography. CLINICAL TRIAL REGISTRATION INFORMATION PREDICT, Personalized Risk Evaluation and Diagnosis in the Coronary Tree, http://www.clinicaltrials.gov, NCT00500617.
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