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Zhang Q, Meng XH, Qiu C, Shen H, Zhao Q, Zhao LJ, Tian Q, Sun CQ, Deng HW. Integrative analysis of multi-omics data to detect the underlying molecular mechanisms for obesity in vivo in humans. Hum Genomics 2022; 16:15. [PMID: 35568907 PMCID: PMC9107154 DOI: 10.1186/s40246-022-00388-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 05/04/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Obesity is a complex, multifactorial condition in which genetic play an important role. Most of the systematic studies currently focuses on individual omics aspect and provide insightful yet limited knowledge about the comprehensive and complex crosstalk between various omics levels. SUBJECTS AND METHODS Therefore, we performed a most comprehensive trans-omics study with various omics data from 104 subjects, to identify interactions/networks and particularly causal regulatory relationships within and especially those between omic molecules with the purpose to discover molecular genetic mechanisms underlying obesity etiology in vivo in humans. RESULTS By applying differentially analysis, we identified 8 differentially expressed hub genes (DEHGs), 14 differentially methylated regions (DMRs) and 12 differentially accumulated metabolites (DAMs) for obesity individually. By integrating those multi-omics biomarkers using Mendelian Randomization (MR) and network MR analyses, we identified 18 causal pathways with mediation effect. For the 20 biomarkers involved in those 18 pairs, 17 biomarkers were implicated in the pathophysiology of obesity or related diseases. CONCLUSIONS The integration of trans-omics and MR analyses may provide us a holistic understanding of the underlying functional mechanisms, molecular regulatory information flow and the interactive molecular systems among different omic molecules for obesity risk and other complex diseases/traits.
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Affiliation(s)
- Qiang Zhang
- Department of Community Nursing, School of Nursing and Health, Zhengzhou University, High-Tech Development Zone of States, Zhengzhou, 450001, Henan, People's Republic of China
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Xiang-He Meng
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, 70112, USA
- Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, 410013, Hunan, People's Republic of China
| | - Chuan Qiu
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Hui Shen
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Qi Zhao
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, 38163, USA
| | - Lan-Juan Zhao
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Qing Tian
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Chang-Qing Sun
- Department of Community Nursing, School of Nursing and Health, Zhengzhou University, High-Tech Development Zone of States, Zhengzhou, 450001, Henan, People's Republic of China
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, High-Tech Development Zone of States, Zhengzhou, 450001, Henan, People's Republic of China
| | - Hong-Wen Deng
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, 70112, USA.
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Templin AT, Schmidt C, Hogan MF, Esser N, Kitsis RN, Hull RL, Zraika S, Kahn SE. Loss of apoptosis repressor with caspase recruitment domain (ARC) worsens high fat diet-induced hyperglycemia in mice. J Endocrinol 2021; 251:125-135. [PMID: 34382577 PMCID: PMC8651217 DOI: 10.1530/joe-20-0612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 08/11/2021] [Indexed: 11/08/2022]
Abstract
Apoptosis repressor with caspase recruitment domain (ARC) is an endogenous inhibitor of cell death signaling that is expressed in insulin-producing β cells. ARC has been shown to reduce β-cell death in response to diabetogenic stimuli in vitro, but its role in maintaining glucose homeostasis in vivo has not been fully established. Here we examined whether loss of ARC in FVB background mice exacerbates high fat diet (HFD)-induced hyperglycemia in vivo over 24 weeks. Prior to commencing 24-week HFD, ARC-/- mice had lower body weight than wild type (WT) mice. This body weight difference was maintained until the end of the study and was associated with decreased epididymal and inguinal adipose tissue mass in ARC-/- mice. Non-fasting plasma glucose was not different between ARC-/- and WT mice prior to HFD feeding, and ARC-/- mice displayed a greater increase in plasma glucose over the first 4 weeks of HFD. Plasma glucose remained elevated in ARC-/- mice after 16 weeks of HFD feeding, at which time it had returned to baseline in WT mice. Following 24 weeks of HFD, non-fasting plasma glucose in ARC-/- mice returned to baseline and was not different from WT mice. At this final time point, no differences were observed between genotypes in plasma glucose or insulin under fasted conditions or following intravenous glucose administration. However, HFD-fed ARC-/- mice exhibited significantly decreased β-cell area compared to WT mice. Thus, ARC deficiency delays, but does not prevent, metabolic adaptation to HFD feeding in mice, worsening transient HFD-induced hyperglycemia.
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Affiliation(s)
- Andrew T. Templin
- Department of Medicine, Division of Metabolism,
Endocrinology and Nutrition, Veteran Affairs Puget Sound Health Care System and
University of Washington, Seattle, WA, USA
| | - Christine Schmidt
- Department of Medicine, Division of Metabolism,
Endocrinology and Nutrition, Veteran Affairs Puget Sound Health Care System and
University of Washington, Seattle, WA, USA
| | - Meghan F. Hogan
- Department of Medicine, Division of Metabolism,
Endocrinology and Nutrition, Veteran Affairs Puget Sound Health Care System and
University of Washington, Seattle, WA, USA
| | - Nathalie Esser
- Department of Medicine, Division of Metabolism,
Endocrinology and Nutrition, Veteran Affairs Puget Sound Health Care System and
University of Washington, Seattle, WA, USA
| | - Richard N. Kitsis
- Departments of Medicine and Cell Biology and Wilf Family
Cardiovascular Research Institute, Albert Einstein College of Medicine, Bronx, NY,
USA
| | - Rebecca L. Hull
- Department of Medicine, Division of Metabolism,
Endocrinology and Nutrition, Veteran Affairs Puget Sound Health Care System and
University of Washington, Seattle, WA, USA
| | - Sakeneh Zraika
- Department of Medicine, Division of Metabolism,
Endocrinology and Nutrition, Veteran Affairs Puget Sound Health Care System and
University of Washington, Seattle, WA, USA
| | - Steven E. Kahn
- Department of Medicine, Division of Metabolism,
Endocrinology and Nutrition, Veteran Affairs Puget Sound Health Care System and
University of Washington, Seattle, WA, USA
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Furumai R, Tamada K, Liu X, Takumi T. UBE3A regulates the transcription of IRF, an antiviral immunity. Hum Mol Genet 2020; 28:1947-1958. [PMID: 30690483 DOI: 10.1093/hmg/ddz019] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 01/10/2019] [Accepted: 01/14/2019] [Indexed: 12/12/2022] Open
Abstract
UBE3A is a gene responsible for the pathogenesis of Angelman syndrome (AS), a neurodevelopmental disorder characterized by symptoms such as intellectual disability, delayed development and severe speech impairment. UBE3A encodes an E3 ubiquitin ligase, for which several targets have been identified, including synaptic molecules. Although proteolysis mainly occurs in the cytoplasm, UBE3A is localized to the cytoplasm and the nucleus. In fact, UBE3A is also known as a transcriptional regulator of the family of nuclear receptors. However, the function of UBE3A in the nucleus remains unclear. Therefore, we examined the involvement of UBE3A in transcription in the nuclei of neurons. Genome-wide transcriptome analysis revealed an enrichment of genes downstream of interferon regulatory factor (IRF) in a UBE3A-deficient AS mouse model. In vitro biochemical analyses further demonstrated that UBE3A interacted with IRF and, more importantly, that UBE3A enhanced IRF-dependent transcription. These results suggest a function for UBE3A as a transcriptional regulator of the immune system in the brain. These findings also provide informative molecular insights into the function of UBE3A in the brain and in AS pathogenesis.
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Affiliation(s)
- Ryohei Furumai
- RIKEN Brain Science Institute, Wako, Saitama, Japan.,Graduate School of Biomedical Sciences, Hiroshima University, Minami, Hiroshima, Japan
| | - Kota Tamada
- RIKEN Brain Science Institute, Wako, Saitama, Japan.,Graduate School of Biomedical Sciences, Hiroshima University, Minami, Hiroshima, Japan
| | - Xiaoxi Liu
- RIKEN Brain Science Institute, Wako, Saitama, Japan
| | - Toru Takumi
- RIKEN Brain Science Institute, Wako, Saitama, Japan.,Graduate School of Biomedical Sciences, Hiroshima University, Minami, Hiroshima, Japan
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Szkop KJ, Cooke PIC, Humphries JA, Kalna V, Moss DS, Schuster EF, Nobeli I. Dysregulation of Alternative Poly-adenylation as a Potential Player in Autism Spectrum Disorder. Front Mol Neurosci 2017; 10:279. [PMID: 28955198 PMCID: PMC5601403 DOI: 10.3389/fnmol.2017.00279] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 08/17/2017] [Indexed: 11/30/2022] Open
Abstract
We present here the hypothesis that alternative poly-adenylation (APA) is dysregulated in the brains of individuals affected by Autism Spectrum Disorder (ASD), due to disruptions in the calcium signaling networks. APA, the process of selecting different poly-adenylation sites on the same gene, yielding transcripts with different-length 3′ untranslated regions (UTRs), has been documented in different tissues, stages of development and pathologic conditions. Differential use of poly-adenylation sites has been shown to regulate the function, stability, localization and translation efficiency of target RNAs. However, the role of APA remains rather unexplored in neurodevelopmental conditions. In the human brain, where transcripts have the longest 3′ UTRs and are thus likely to be under more complex post-transcriptional regulation, erratic APA could be particularly detrimental. In the context of ASD, a condition that affects individuals in markedly different ways and whose symptoms exhibit a spectrum of severity, APA dysregulation could be amplified or dampened depending on the individual and the extent of the effect on specific genes would likely vary with genetic and environmental factors. If this hypothesis is correct, dysregulated APA events might be responsible for certain aspects of the phenotypes associated with ASD. Evidence supporting our hypothesis is derived from standard RNA-seq transcriptomic data but we suggest that future experiments should focus on techniques that probe the actual poly-adenylation site (3′ sequencing). To address issues arising from the use of post-mortem tissue and low numbers of heterogeneous samples affected by confounding factors (such as the age, gender and health of the individuals), carefully controlled in vitro systems will be required to model the effect of calcium signaling dysregulation in the ASD brain.
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Affiliation(s)
- Krzysztof J Szkop
- Department of Biological Sciences, Institute of Structural and Molecular Biology, Birkbeck, University of LondonLondon, United Kingdom
| | - Peter I C Cooke
- Department of Biological Sciences, Institute of Structural and Molecular Biology, Birkbeck, University of LondonLondon, United Kingdom
| | - Joanne A Humphries
- Department of Biological Sciences, Institute of Structural and Molecular Biology, Birkbeck, University of LondonLondon, United Kingdom
| | - Viktoria Kalna
- Department of Biological Sciences, Institute of Structural and Molecular Biology, Birkbeck, University of LondonLondon, United Kingdom
| | - David S Moss
- Department of Biological Sciences, Institute of Structural and Molecular Biology, Birkbeck, University of LondonLondon, United Kingdom
| | | | - Irene Nobeli
- Department of Biological Sciences, Institute of Structural and Molecular Biology, Birkbeck, University of LondonLondon, United Kingdom
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Huang Y, Wang L, Zan ALS. ARN: analysis and prediction by adipogenic professional database. BMC SYSTEMS BIOLOGY 2016; 10:57. [PMID: 27503118 PMCID: PMC4977645 DOI: 10.1186/s12918-016-0321-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Accepted: 07/14/2016] [Indexed: 12/23/2022]
Abstract
Adipogenesis is the process of cell differentiation by which mesenchymal stem cells become adipocytes. Extensive research is ongoing to identify genes, their protein products, and microRNAs that correlate with fat cell development. The existing databases have focused on certain types of regulatory factors and interactions. However, there is no relationship between the results of the experimental studies on adipogenesis and these databases because of the lack of an information center. This information fragmentation hampers the identification of key regulatory genes and pathways. Thus, it is necessary to provide an information center that is quickly and easily accessible to researchers in this field. We selected and integrated data from eight external databases based on the results of text-mining, and constructed a publicly available database and web interface (URL: http://210.27.80.93/arn/ ), which contained 30873 records related to adipogenic differentiation. Then, we designed an online analysis tool to analyze the experimental data or form a scientific hypothesis about adipogenesis through Swanson's literature-based discovery process. Furthermore, we calculated the "Impact Factor" ("IF") value that reflects the importance of each node by counting the numbers of relation records, expression records, and prediction records for each node. This platform can support ongoing adipogenesis research and contribute to the discovery of key regulatory genes and pathways.
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Affiliation(s)
- Yan Huang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Li Wang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - And Lin-Sen Zan
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
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