1
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Zöller B. miR-145 and incident thromboembolism. Blood 2024; 143:1686-1687. [PMID: 38662387 DOI: 10.1182/blood.2023023798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2024] Open
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2
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Genetic Polymorphisms in miR-604A>G, miR-938G>A, miR-1302-3C>T and the Risk of Idiopathic Recurrent Pregnancy Loss. Int J Mol Sci 2021; 22:ijms22116127. [PMID: 34200157 PMCID: PMC8201216 DOI: 10.3390/ijms22116127] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 05/25/2021] [Accepted: 06/03/2021] [Indexed: 12/18/2022] Open
Abstract
The purpose of this study was to investigate whether polymorphisms in five microRNAs (miRNAs), miR-604A>G, miR-608C>G, 631I/D, miR-938G>A, and miR-1302-3C>T, are associated with the risk of idiopathic recurrent pregnancy loss (RPL). Blood samples were collected from 388 patients with idiopathic RPL (at least two consecutive spontaneous abortions) and 227 control participants. We found the miR-604 AG and AG + GG genotypes of miR-604, the miR-938 GA and GA + AA genotypes of miR-938, and the miR-1302-3CT and CT + TT genotypes of miR-1302-3 are less frequent than the wild-type (WT) genotypes, miR-604AA, miR-938GG, and miR-1302-3CC, respectively, in RPL patients. Using allele-combination multifactor dimensionality reduction (MDR) analysis, we found that eight haplotypes conferred by the miR-604/miR-608/miR-631/miR-938/miR-1302-3 allele combination, A-C-I-G-T, A-C-I-A-C, G-C-I-G-C, G-C-I-G-T, G-G-I-G-C, G-G-I-G-T, G-G-I-A-C, G-G-D-G-C, three from the miR-604/miR-631/miR-938/miR-1302-3 allele combination, A-I-G-T, G-I-G-C, G-I-A-T, one from the miR-604/miR-631/miR-1302-3 allele combination, G-I-C, and two from the miR-604/miR-1302-3 allele combination, G-C and G-T, were less frequent in RPL patients, suggesting protective effects (all p < 0.05). We also identified the miR-604A>G and miR-938G>A polymorphisms within the seed sequence of the mature miRNAs and aligned the seed sequences with the 3′UTR of putative target genes, methylenetetrahydrofolate reductase (MTHFR) and gonadotropin-releasing hormone receptor (GnRHR), respectively. We further found that the binding affinities between miR-604/miR-938 and the 3′UTR of their respective target genes (MTHFR, GnRHR) were significantly different for the common (miR-604A, miR-938G) and variant alleles (miR-604G, miR-938A). These results reveal a significant association between the miR-604A>G and miR-938G>A polymorphisms and idiopathic RPL and suggest that miRNAs can affect RPL in Korean women.
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3
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Gautvik KM, Günther CC, Prijatelj V, Medina-Gomez C, Shevroja E, Rad LH, Yazdani M, Lindalen E, Valland H, Gautvik VT, Olstad OK, Holden M, Rivadeneira F, Utheim TP, Reppe S. Distinct Subsets of Noncoding RNAs Are Strongly Associated With BMD and Fracture, Studied in Weight-Bearing and Non-Weight-Bearing Human Bone. J Bone Miner Res 2020; 35:1065-1076. [PMID: 32017184 DOI: 10.1002/jbmr.3974] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 01/22/2020] [Accepted: 01/26/2020] [Indexed: 12/14/2022]
Abstract
We investigated mechanisms resulting in low bone mineral density (BMD) and susceptibility to fracture by comparing noncoding RNAs (ncRNAs) in biopsies of non-weight-bearing (NWB) iliac (n = 84) and weight bearing (WB) femoral (n = 18) postmenopausal bone across BMDs varying from normal (T-score > -1.0) to osteoporotic (T-score ≤ -2.5). Global bone ncRNA concentrations were determined by PCR and microchip analyses. Association with BMD or fracture, adjusted by age and body mass index, were calculated using linear and logistic regression and least absolute shrinkage and selection operator (Lasso) analysis. At 10% false discovery rate (FDR), 75 iliac bone ncRNAs and 94 femoral bone ncRNAs were associated with total hip BMD. Eight of the ncRNAs were common for the two sites, but five of them (miR-484, miR-328-3p, miR-27a-5p, miR-28-3p, and miR-409-3p) correlated positively to BMD in femoral bone, but negatively in iliac bone. Of predicted pathways recognized in bone metabolism, ECM-receptor interaction and proteoglycans in cancer emerged at both sites, whereas fatty acid metabolism and focal adhesion were only identified in iliac bone. Lasso analysis and cross-validations identified sets of nine bone ncRNAs correlating strongly with adjusted total hip BMD in both femoral and iliac bone. Twenty-eight iliac ncRNAs were associated with risk of fracture (FDR < 0.1). The small nucleolar RNAs, RNU44 and RNU48, have a function in stabilization of ribosomal RNAs (rRNAs), and their association with fracture and BMD suggest that aberrant processing of rRNAs may be involved in development of osteoporosis. Cis-eQTL (expressed quantitative trait loci) analysis of the iliac bone biopsies identified two loci associated with microRNAs (miRNAs), one previously identified in a heel-BMD genomewide association study (GWAS). In this comprehensive investigation of the skeletal genetic background in postmenopausal women, we identified functional bone ncRNAs associated to fracture and BMD, representing distinct subsets in WB and NWB skeletal sites. © 2020 The Authors. Journal of Bone and Mineral Research published by American Society for Bone and Mineral Research.
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Affiliation(s)
- Kaare M Gautvik
- Unger-Vetlesen Institute, Lovisenberg Diaconal Hospital, Oslo, Norway.,Department of Molecular Medicine, University of Oslo, Oslo, Norway
| | | | - Vid Prijatelj
- Department of Maxillofacial Surgery, Special Dental Care and Orthodontics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.,Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Enisa Shevroja
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Leila Heidary Rad
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway
| | - Mazyar Yazdani
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway
| | - Einar Lindalen
- Orthopaedic Department, Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Haldor Valland
- Department of Surgery, Diakonhjemmet Hospital, Oslo, Norway
| | - Vigdis T Gautvik
- Unger-Vetlesen Institute, Lovisenberg Diaconal Hospital, Oslo, Norway
| | - Ole K Olstad
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway
| | | | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Tor P Utheim
- Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.,Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway.,Department of Ophthalmology, Stavanger University Hospital, Oslo, Norway.,Department of Ophthalmology, Sørlandet Hospital, Arendal, Norway
| | - Sjur Reppe
- Unger-Vetlesen Institute, Lovisenberg Diaconal Hospital, Oslo, Norway.,Department of Molecular Medicine, University of Oslo, Oslo, Norway.,Department of Medical Biochemistry, Oslo University Hospital, Oslo, Norway.,Department of Plastic and Reconstructive Surgery, Oslo University Hospital, Oslo, Norway
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4
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Gil-Sánchez I, Esteban-Fernández A, González de Llano D, Sanz-Buenhombre M, Guadarrana A, Salazar N, Gueimonde M, de los Reyes-Gavilánc CG, Martín Gómez L, García Bermejo ML, Bartolomé B, Moreno-Arribas MV. Supplementation with grape pomace in healthy women: Changes in biochemical parameters, gut microbiota and related metabolic biomarkers. J Funct Foods 2018. [DOI: 10.1016/j.jff.2018.03.031] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
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5
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Clinical significance of circulating microRNAs as markers in detecting and predicting congenital heart defects in children. J Transl Med 2018; 16:42. [PMID: 29482591 PMCID: PMC5828434 DOI: 10.1186/s12967-018-1411-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Accepted: 02/15/2018] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Circulating microRNAs (miRNAs) are emerging as novel biomarkers for detecting cardiovascular diseases. In this study, we aimed to investigate the usefulness of miRNAs as biomarkers in diagnosing and predicting children with congenital heart defects (CHD), particularly in the context of multiple subtypes of CHD. METHODS We recruited 26 families, each having a child with CHD and parents who do not have any cardiovascular disorder. 27 families unaffected by cardiovascular disease were also included as controls. Firstly, we screened 84 circulating miRNAs relating to cardiovascular development in 6 children with atrial septal defects (ASD) and 5 healthy children. We validated the selected miRNAs with differential expression in a larger sample size (n = 27 for controls, n = 26 for cases), and evaluated their signal in different types of septal defects. Finally, we examined the identified miRNAs signatures in the parent population and assessed their diagnostic values for predicting CHD. RESULTS The three miRNAs hsa-let-7a, hsa-let-7b and hsa-miR-486 were significantly upregulated in children with ASD. A further validation study showed that overexpression of hsa-let-7a and hsa-let-7b was specifically present in ASD children, but not in children with other subtypes of septal defects. A similar expression profile of hsa-let-7a and hsa-let-7b was discovered in mothers of ASD children. Receiver-operating characteristic curve analyses indicated that hsa-let-7a and hsa-let-7b had significant diagnostic values for detecting ASD and in maternal samples predicting the occurrence of ASD in offspring. CONCLUSIONS Circulating miRNAs are important markers not only for diagnosing CHD, but also for predicting CHD risk in offspring. The distinct miRNA signatures are likely to present in various subtypes of CHD, and the phenotypic heterogeneity of CHD should be considered to develop such miRNA-based assays.
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6
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Epigenetics and MicroRNAs in Cancer. Int J Mol Sci 2018; 19:ijms19020459. [PMID: 29401683 PMCID: PMC5855681 DOI: 10.3390/ijms19020459] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Revised: 01/29/2018] [Accepted: 01/30/2018] [Indexed: 02/08/2023] Open
Abstract
The ability to reprogram the transcriptional circuitry by remodeling the three-dimensional structure of the genome is exploited by cancer cells to promote tumorigenesis. This reprogramming occurs because of hereditable chromatin chemical modifications and the consequent formation of RNA-protein-DNA complexes that represent the principal actors of the epigenetic phenomena. In this regard, the deregulation of a transcribed non-coding RNA may be both cause and consequence of a cancer-related epigenetic alteration. This review summarizes recent findings that implicate microRNAs in the aberrant epigenetic regulation of cancer cells.
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7
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Le Roy CI, Beaumont M, Jackson MA, Steves CJ, Spector TD, Bell JT. Heritable components of the human fecal microbiome are associated with visceral fat. Gut Microbes 2018; 9:61-67. [PMID: 28767316 PMCID: PMC5914912 DOI: 10.1080/19490976.2017.1356556] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Revised: 07/06/2017] [Accepted: 07/10/2017] [Indexed: 02/07/2023] Open
Abstract
Obesity and its associated diseases are one of the major causes of death worldwide. The gut microbiota has been identified to have essential regulatory effects on human metabolism and obesity in particular. In a recent study we provided some insights into the link between the gut microbiota (GM) and adiposity, as well as host genetic modulation of these processes. Our results identify novel evidence of association between 6 adiposity phenotypes and faecal microbial operational taxonomic units (OTUs). Accumulation of visceral fat, a key risk factor for cardio-metabolic disease, has the strongest and most pervasive signature on the gut microbiota of the factors we examined. Furthermore, we observe that the adiposity-associated OTUs were classified as heritable and in some cases were also associated with host genetic variation at obesity-associated human candidate genes FHIT, TDRG1 and ELAVL4. This addendum confirms our previously published results in the TwinsUK cohort using a different approach to OTU clustering and multivariate analysis, and discusses further the importance of considering the GM as a complex ecosystem.
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Affiliation(s)
- Caroline I. Le Roy
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
| | - Michelle Beaumont
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
| | - Matthew A. Jackson
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
| | - Claire J. Steves
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
| | - Timothy D. Spector
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
| | - Jordana T. Bell
- Department of Twin Research & Genetic Epidemiology, King's College London, London, UK
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8
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Bisphenol A in eggs causes development-specific liver molecular reprogramming in two generations of rainbow trout. Sci Rep 2017; 7:14131. [PMID: 29074850 PMCID: PMC5658357 DOI: 10.1038/s41598-017-13301-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Accepted: 09/22/2017] [Indexed: 12/16/2022] Open
Abstract
Bisphenol A (BPA) is widely used in the manufacture of plastics and epoxy resins and is prevalent in the aquatic environment. BPA disrupts endocrine pathways in fish, but the long-term developmental implications are unknown. We demonstrate that BPA deposition in the eggs of rainbow trout (Oncorhynchus mykiss), an ecologically and economically important species of fish, reprograms liver metabolism in the offspring and alters the developmental growth trajectory in two generations. Specifically, BPA reduces growth during early development, followed by a catch-up growth post-juveniles. More importantly, we observed a developmental shift in the liver transcriptome, including an increased propensity for protein breakdown during early life stages to lipid and cholesterol synthesis post- juveniles. The liver molecular responses corresponded with the transient growth phenotypes observed in the F1 generation, and this was also evident in the F2 generation. Altogether, maternal and/or ancestral embryonic exposure to BPA affects liver metabolism leading to development-distinct effects on growth, underscoring the need for novel risk assessment strategies for this chemical in the aquatic environment. This is particularly applicable to migratory species, such as salmon, where distinct temporal changes in growth and physiology during development are critical for their spawning success.
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A Concise Review of MicroRNA Exploring the Insights of MicroRNA Regulations in Bacterial, Viral and Metabolic Diseases. Mol Biotechnol 2017; 59:518-529. [DOI: 10.1007/s12033-017-0034-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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10
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Pinto SK, Lamon S, Stephenson EJ, Kalanon M, Mikovic J, Koch LG, Britton SL, Hawley JA, Camera DM. Expression of microRNAs and target proteins in skeletal muscle of rats selectively bred for high and low running capacity. Am J Physiol Endocrinol Metab 2017; 313:E335-E343. [PMID: 28465283 PMCID: PMC6189633 DOI: 10.1152/ajpendo.00043.2017] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Revised: 04/28/2017] [Accepted: 05/01/2017] [Indexed: 01/21/2023]
Abstract
Impairments in mitochondrial function and substrate metabolism are implicated in the etiology of obesity and Type 2 diabetes. MicroRNAs (miRNAs) can degrade mRNA or repress protein translation and have been implicated in the development of such disorders. We used a contrasting rat model system of selectively bred high- (HCR) or low- (LCR) intrinsic running capacity with established differences in metabolic health to investigate the molecular mechanisms through which miRNAs regulate target proteins mediating mitochondrial function and substrate oxidation processes. Quantification of select miRNAs using the rat miFinder miRNA PCR array revealed differential expression of 15 skeletal muscles (musculus tibialis anterior) miRNAs between HCR and LCR rats (14 with higher expression in LCR; P < 0.05). Ingenuity Pathway Analysis predicted these altered miRNAs to collectively target multiple proteins implicated in mitochondrial dysfunction and energy substrate metabolism. Total protein abundance of citrate synthase (CS; miR-19 target) and voltage-dependent anion channel 1 (miR-7a target) were higher in HCR compared with LCR cohorts (~57 and ~26%, respectively; P < 0.05). A negative correlation was observed for miR-19a-3p and CS (r = 0.32, P = 0.015) protein expression. To determine whether miR-19a-3p can regulate CS in vitro, we performed luciferase reporter and transfection assays in C2C12 myotubes. MiR-19a-3p binding to the CS untranslated region did not change luciferase reporter activity; however, miR-19a-3p transfection decreased CS protein expression (∼70%; P < 0.05). The differential miRNA expression targeting proteins implicated in mitochondrial dysfunction and energy substrate metabolism may contribute to the molecular basis, mediating the divergent metabolic health profiles of LCR and HCR rats.
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Affiliation(s)
- Samuel K Pinto
- Centre for Exercise and Nutrition, Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
| | - Séverine Lamon
- School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University Geelong, Victoria, Australia
| | - Erin J Stephenson
- Department of Physiology, University of Tennessee Health Science Center, Memphis, Tennessee
- Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee
- Children's Foundation Research Institute, Le Bonheur Children's Hospital, Memphis, Tennessee
| | - Ming Kalanon
- School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University Geelong, Victoria, Australia
| | - Jasmine Mikovic
- School of Exercise and Nutrition Sciences, Institute for Physical Activity and Nutrition, Deakin University Geelong, Victoria, Australia
| | - Lauren G Koch
- Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan; and
| | - Steven L Britton
- Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan; and
| | - John A Hawley
- Centre for Exercise and Nutrition, Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
- Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| | - Donny M Camera
- Centre for Exercise and Nutrition, Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia;
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11
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Wu S, Kim TK, Wu X, Scherler K, Baxter D, Wang K, Krasnow RE, Reed T, Dai J. Circulating MicroRNAs and Life Expectancy Among Identical Twins. Ann Hum Genet 2016; 80:247-56. [PMID: 27402348 PMCID: PMC5757377 DOI: 10.1111/ahg.12160] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Accepted: 05/16/2016] [Indexed: 12/20/2022]
Abstract
Human life expectancy is influenced not only by longevity assurance mechanisms and disease susceptibility loci but also by the environment, gene-environment interactions, and chance. MicroRNAs (miRNAs) are a class of small noncoding RNAs closely related to genes. Circulating miRNAs have been shown as promising noninvasive biomarkers in the development of many pathophysiological conditions. However, the concentration of miRNA in the circulation may also be affected by environmental factors. We used a next-generation sequencing platform to assess the association of circulating miRNA with life expectancy, for which deaths are due to all causes independent of genes. In addition, we showed that miRNAs are present in 41-year archived plasma samples, which may be useful for both life expectancy and all-cause mortality risk assessment. Plasma miRNAs from nine identical male twins were profiled using next-generation sequencing. The average absolute difference in the minimum life expectancy was 9.68 years. Intraclass correlation coefficients were above 0.4 for 50% of miRNAs. Comparing deceased twins with their alive co-twin brothers, the concentrations were increased for 34 but decreased for 30 miRNAs. Identical twins discordant in life expectancy were dissimilar in the majority of miRNAs, suggesting that environmental factors are pivotal in miRNAs related to life expectancy.
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Affiliation(s)
- Shenghui Wu
- Department of Epidemiology and Biostatistics, School of Medicine, The University of Texas Health Science Center at San Antonio, Laredo, TX, USA
| | | | - Xiaogang Wu
- Institute for Systems Biology, Seattle, WA, USA
| | | | | | - Kai Wang
- Institute for Systems Biology, Seattle, WA, USA
| | - Ruth E Krasnow
- Center for Health Sciences, Biosciences Division, SRI International, Menlo Park, CA, USA
| | - Terry Reed
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jun Dai
- Department of Public Health, Des Moines University, Des Moines, IA, USA
- Division of Epidemiology, Department of Medicine, Vanderbilt Center for Translational and Clinical Cardiovascular Research (VTRACC), Institute of Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, USA
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12
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van Otterdijk SD, Michels KB. Transgenerational epigenetic inheritance in mammals: how good is the evidence? FASEB J 2016; 30:2457-65. [PMID: 27037350 DOI: 10.1096/fj.201500083] [Citation(s) in RCA: 115] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2015] [Accepted: 03/21/2016] [Indexed: 01/02/2023]
Abstract
Epigenetics plays an important role in orchestrating key biologic processes. Epigenetic marks, including DNA methylation, histones, chromatin structure, and noncoding RNAs, are modified throughout life in response to environmental and behavioral influences. With each new generation, DNA methylation patterns are erased in gametes and reset after fertilization, probably to prevent these epigenetic marks from being transferred from parents to their offspring. However, some recent animal studies suggest an apparent resistance to complete erasure of epigenetic marks during early development, enabling transgenerational epigenetic inheritance. Whether there are similar mechanisms in humans remains unclear, with the exception of epigenetic imprinting. Nevertheless, a distinctly different mechanism-namely, intrauterine exposure to environmental stressors that may affect establishment of the newly composing epigenetic patterns after fertilization-is often confused with transgenerational epigenetic inheritance. In this review, we delineate the definition of and requirement for transgenerational epigenetic inheritance, differentiate it from the consequences of intrauterine exposure, and discuss the available evidence in both animal models and humans.-Van Otterdijk, S. D., Michels, K. B. Transgenerational epigenetic inheritance in mammals: how good is the evidence?
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Affiliation(s)
- Sanne D van Otterdijk
- Institute for Prevention and Cancer Epidemiology, University Medical Center Freiburg, Freiburg, Germany
| | - Karin B Michels
- Institute for Prevention and Cancer Epidemiology, University Medical Center Freiburg, Freiburg, Germany; Obstetrics and Gynecology Epidemiology Center, Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; and Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts
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13
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Okada Y, Muramatsu T, Suita N, Kanai M, Kawakami E, Iotchkova V, Soranzo N, Inazawa J, Tanaka T. Significant impact of miRNA-target gene networks on genetics of human complex traits. Sci Rep 2016; 6:22223. [PMID: 26927695 PMCID: PMC4772006 DOI: 10.1038/srep22223] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Accepted: 02/01/2016] [Indexed: 11/09/2022] Open
Abstract
The impact of microRNA (miRNA) on the genetics of human complex traits, especially in the context of miRNA-target gene networks, has not been fully assessed. Here, we developed a novel analytical method, MIGWAS, to comprehensively evaluate enrichment of genome-wide association study (GWAS) signals in miRNA–target gene networks. We applied the method to the GWAS results of the 18 human complex traits from >1.75 million subjects, and identified significant enrichment in rheumatoid arthritis (RA), kidney function, and adult height (P < 0.05/18 = 0.0028, most significant enrichment in RA with P = 1.7 × 10−4). Interestingly, these results were consistent with current literature-based knowledge of the traits on miRNA obtained through the NCBI PubMed database search (adjusted P = 0.024). Our method provided a list of miRNA and target gene pairs with excess genetic association signals, part of which included drug target genes. We identified a miRNA (miR-4728-5p) that downregulates PADI2, a novel RA risk gene considered as a promising therapeutic target (rs761426, adjusted P = 2.3 × 10−9). Our study indicated the significant impact of miRNA–target gene networks on the genetics of human complex traits, and provided resources which should contribute to drug discovery and nucleic acid medicine.
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Affiliation(s)
- Yukinori Okada
- Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.,Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Tomoki Muramatsu
- Department of Molecular Cytogenetics, Medical Research Institute and Graduate School of Medical and Dental Science, Tokyo Medical and Dental University, Tokyo 113-8510, Japan
| | - Naomasa Suita
- Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.,Advanced Medicinal Research Laboratories, Tsukuba Research Institute, Ono Pharmaceutical CO., LTD., Tsukuba 300-4247, Japan
| | - Masahiro Kanai
- Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan
| | - Eiryo Kawakami
- Laboratory for Disease Systems Modeling, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
| | - Valentina Iotchkova
- Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, CB10 1HH, UK.,Department of Haematology, University of Cambridge, Hills Rd, Cambridge CB2 0AH, UK
| | - Nicole Soranzo
- Human Genetics, Wellcome Trust Sanger Institute, Genome Campus, Hinxton, CB10 1HH, UK.,Department of Haematology, University of Cambridge, Hills Rd, Cambridge CB2 0AH, UK
| | - Johji Inazawa
- Department of Molecular Cytogenetics, Medical Research Institute and Graduate School of Medical and Dental Science, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.,Bioresource Research Center, Tokyo Medical and Dental University, Tokyo 113-8510, Japan
| | - Toshihiro Tanaka
- Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.,Bioresource Research Center, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.,Laboratory for Cardiovascular Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan
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Forstner AJ, Hofmann A, Maaser A, Sumer S, Khudayberdiev S, Mühleisen TW, Leber M, Schulze TG, Strohmaier J, Degenhardt F, Treutlein J, Mattheisen M, Schumacher J, Breuer R, Meier S, Herms S, Hoffmann P, Lacour A, Witt SH, Reif A, Müller-Myhsok B, Lucae S, Maier W, Schwarz M, Vedder H, Kammerer-Ciernioch J, Pfennig A, Bauer M, Hautzinger M, Moebus S, Priebe L, Sivalingam S, Verhaert A, Schulz H, Czerski PM, Hauser J, Lissowska J, Szeszenia-Dabrowska N, Brennan P, McKay JD, Wright A, Mitchell PB, Fullerton JM, Schofield PR, Montgomery GW, Medland SE, Gordon SD, Martin NG, Krasnov V, Chuchalin A, Babadjanova G, Pantelejeva G, Abramova LI, Tiganov AS, Polonikov A, Khusnutdinova E, Alda M, Cruceanu C, Rouleau GA, Turecki G, Laprise C, Rivas F, Mayoral F, Kogevinas M, Grigoroiu-Serbanescu M, Propping P, Becker T, Rietschel M, Cichon S, Schratt G, Nöthen MM. Genome-wide analysis implicates microRNAs and their target genes in the development of bipolar disorder. Transl Psychiatry 2015; 5:e678. [PMID: 26556287 PMCID: PMC5068755 DOI: 10.1038/tp.2015.159] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2015] [Accepted: 09/07/2015] [Indexed: 12/21/2022] Open
Abstract
Bipolar disorder (BD) is a severe and highly heritable neuropsychiatric disorder with a lifetime prevalence of 1%. Molecular genetic studies have identified the first BD susceptibility genes. However, the disease pathways remain largely unknown. Accumulating evidence suggests that microRNAs, a class of small noncoding RNAs, contribute to basic mechanisms underlying brain development and plasticity, suggesting their possible involvement in the pathogenesis of several psychiatric disorders, including BD. In the present study, gene-based analyses were performed for all known autosomal microRNAs using the largest genome-wide association data set of BD to date (9747 patients and 14 278 controls). Associated and brain-expressed microRNAs were then investigated in target gene and pathway analyses. Functional analyses of miR-499 and miR-708 were performed in rat hippocampal neurons. Ninety-eight of the six hundred nine investigated microRNAs showed nominally significant P-values, suggesting that BD-associated microRNAs might be enriched within known microRNA loci. After correction for multiple testing, nine microRNAs showed a significant association with BD. The most promising were miR-499, miR-708 and miR-1908. Target gene and pathway analyses revealed 18 significant canonical pathways, including brain development and neuron projection. For miR-499, four Bonferroni-corrected significant target genes were identified, including the genome-wide risk gene for psychiatric disorder CACNB2. First results of functional analyses in rat hippocampal neurons neither revealed nor excluded a major contribution of miR-499 or miR-708 to dendritic spine morphogenesis. The present results suggest that research is warranted to elucidate the precise involvement of microRNAs and their downstream pathways in BD.
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Affiliation(s)
- A J Forstner
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - A Hofmann
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - A Maaser
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - S Sumer
- Institute of Physiological Chemistry, Philipps-University Marburg, Marburg, Germany
| | - S Khudayberdiev
- Institute of Physiological Chemistry, Philipps-University Marburg, Marburg, Germany
| | - T W Mühleisen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
| | - M Leber
- Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn, Bonn, Germany
| | - T G Schulze
- Institute of Psychiatric Phenomics and Genomics, Ludwig-Maximilians-University Munich, Munich, Germany
| | - J Strohmaier
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Heidelberg, Germany
| | - F Degenhardt
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - J Treutlein
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Heidelberg, Germany
| | - M Mattheisen
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Institute for Genomics Mathematics, University of Bonn, Bonn, Germany
| | - J Schumacher
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - R Breuer
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Heidelberg, Germany
| | - S Meier
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Heidelberg, Germany
- National Center Register-Based Research, Aarhus University, Aarhus, Denmark
| | - S Herms
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - P Hoffmann
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
- Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - A Lacour
- German Center for Neurodegenerative Diseases, Bonn, Germany
| | - S H Witt
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Heidelberg, Germany
| | - A Reif
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt am Main, Frankfurt, Germany
| | - B Müller-Myhsok
- Max Planck Institute of Psychiatry, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- University of Liverpool, Institute of Translational Medicine, Liverpool, UK
| | - S Lucae
- Max Planck Institute of Psychiatry, Munich, Germany
| | - W Maier
- Department of Psychiatry, University of Bonn, Bonn, Germany
| | - M Schwarz
- Psychiatric Center Nordbaden, Wiesloch, Germany
| | - H Vedder
- Psychiatric Center Nordbaden, Wiesloch, Germany
| | | | - A Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - M Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - M Hautzinger
- Department of Psychology, Clinical Psychology and Psychotherapy, Eberhard Karls University Tübingen, Tübingen, Germany
| | - S Moebus
- Institute of Medical Informatics, Biometry and Epidemiology, University Duisburg-Essen, Essen, Germany
| | - L Priebe
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - S Sivalingam
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - A Verhaert
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - H Schulz
- Cologne Center for Genomics, University of Cologne, Cologne, Germany
| | - P M Czerski
- Department of Psychiatry, Laboratory of Psychiatric Genetics, Poznan University of Medical Sciences, Poznan, Poland
| | - J Hauser
- Department of Psychiatry, Laboratory of Psychiatric Genetics, Poznan University of Medical Sciences, Poznan, Poland
| | - J Lissowska
- Department of Cancer Epidemiology and Prevention, Maria Sklodowska-Curie Memorial Cancer Centre and Institute of Oncology Warsaw, Warsaw, Poland
| | | | - P Brennan
- Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France
| | - J D McKay
- Genetic Cancer Susceptibility Group, International Agency for Research on Cancer, Lyon, France
| | - A Wright
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia
- Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia
| | - P B Mitchell
- School of Psychiatry, University of New South Wales, Randwick, NSW, Australia
- Black Dog Institute, Prince of Wales Hospital, Randwick, NSW, Australia
| | - J M Fullerton
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - P R Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia
- School of Medical Sciences, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - G W Montgomery
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - S E Medland
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - S D Gordon
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - N G Martin
- Queensland Institute of Medical Research, Brisbane, QLD, Australia
| | - V Krasnov
- Moscow Research Institute of Psychiatry, Moscow, Russian Federation
| | - A Chuchalin
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
| | - G Babadjanova
- Institute of Pulmonology, Russian State Medical University, Moscow, Russian Federation
| | - G Pantelejeva
- Russian Academy of Medical Sciences, Mental Health Research Center, Moscow, Russian Federation
| | - L I Abramova
- Russian Academy of Medical Sciences, Mental Health Research Center, Moscow, Russian Federation
| | - A S Tiganov
- Russian Academy of Medical Sciences, Mental Health Research Center, Moscow, Russian Federation
| | - A Polonikov
- Department of Biology, Medical Genetics and Ecology, Kursk State Medical University, Kursk, Russian Federation
| | - E Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Scientific Center of Russian Academy of Sciences, Ufa, Russian Federation
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russian Federation
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
- National Institute of Mental Health, Klecany, Czech Republic
| | - C Cruceanu
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- McGill Group for Suicide Studies and Douglas Research Institute, Montreal, QC, Canada
| | - G A Rouleau
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - G Turecki
- Department of Human Genetics, McGill University, Montreal, QC, Canada
- McGill Group for Suicide Studies and Douglas Research Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - C Laprise
- Département des sciences fondamentales, Université du Québec à Chicoutimi (UQAC), Chicoutimi, QC, Canada
| | - F Rivas
- Department of Psychiatry, Hospital Regional Universitario, Biomedical Institute of Malaga, Malaga, Spain
| | - F Mayoral
- Department of Psychiatry, Hospital Regional Universitario, Biomedical Institute of Malaga, Malaga, Spain
| | - M Kogevinas
- Center for Research in Environmental Epidemiology, Barcelona, Spain
| | - M Grigoroiu-Serbanescu
- Biometric Psychiatric Genetics Research Unit, Alexandru Obregia Clinical Psychiatric Hospital, Bucharest, Romania
| | - P Propping
- Institute of Human Genetics, University of Bonn, Bonn, Germany
| | - T Becker
- Institute for Medical Biometry, Informatics and Epidemiology, University of Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases, Bonn, Germany
| | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/University of Heidelberg, Heidelberg, Germany
| | - S Cichon
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
- Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - G Schratt
- Institute of Physiological Chemistry, Philipps-University Marburg, Marburg, Germany
| | - M M Nöthen
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
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Schmidt U, Keck ME, Buell DR. miRNAs and other non-coding RNAs in posttraumatic stress disorder: A systematic review of clinical and animal studies. J Psychiatr Res 2015; 65:1-8. [PMID: 25896120 DOI: 10.1016/j.jpsychires.2015.03.014] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2014] [Revised: 03/14/2015] [Accepted: 03/16/2015] [Indexed: 01/07/2023]
Abstract
In the last couple of years, non-coding (nc) RNAs like micro-RNAs (miRNAs), small interference RNAs (siRNAs) and long ncRNAs (lncRNAs) have emerged as promising candidates for biomarkers and drug-targets in a variety of psychiatric disorders. In contrast to reports on ncRNAs in affective disorders, schizophrenia and anxiety disorders, manuscripts on ncRNAs in posttraumatic stress disorder (PTSD) and associated animal models are scarce. Aiming to stimulate ncRNA research in PTSD and to identify the hitherto most promising ncRNA candidates and associated pathways for psychotrauma research, we conducted the first review on ncRNAs in PTSD. We aimed to identify studies reporting on the expression, function and regulation of ncRNAs in PTSD patients and in animals exhibiting a PTSD-like syndrome. Following the PRISMA guidelines for systematic reviews, we systematically screened the PubMed database for clinical and animal studies on ncRNAs in PTSD, animal models for PTSD and animal models employing a classical fear conditioning paradigm. Using 112 different combinations of search terms, we retrieved 523 articles of which we finally included and evaluated three clinical and 12 animal studies. In addition, using the web-based tool DIANA miRPath v2.0, we searched for molecular pathways shared by the predicted targets of the here-evaluated miRNA candidates. Our findings suggest that mir-132, which has been found to be regulated in three of the here included studies, as well as miRNAs with an already established role in Alzheimer's disease (AD) seem to be particularly promising candidates for future miRNA studies in PTSD. These results are limited by the low number of human trials and by the heterogeneity of included animal studies.
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Affiliation(s)
- Ulrike Schmidt
- Max Planck Institute of Psychiatry, Department of Clinical Research, Kraepelinstrasse 10, 80804 München, Germany.
| | - Martin E Keck
- Max Planck Institute of Psychiatry, Department of Clinical Research, Kraepelinstrasse 10, 80804 München, Germany; Clienia Privatklinik Schloessli, Schloesslistr. 8, CH-8618 Oetwil am See, Switzerland
| | - Dominik R Buell
- Max Planck Institute of Psychiatry, Department of Clinical Research, Kraepelinstrasse 10, 80804 München, Germany
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Regulation of skeletal muscle development and homeostasis by gene imprinting, histone acetylation and microRNA. BIOCHIMICA ET BIOPHYSICA ACTA-GENE REGULATORY MECHANISMS 2015; 1849:309-16. [DOI: 10.1016/j.bbagrm.2015.01.002] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Revised: 12/17/2014] [Accepted: 01/10/2015] [Indexed: 12/13/2022]
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17
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MiR-101 regulates apoptosis of trophoblast HTR-8/SVneo cells by targeting endoplasmic reticulum (ER) protein 44 during preeclampsia. J Hum Hypertens 2014; 28:610-6. [PMID: 24804790 DOI: 10.1038/jhh.2014.35] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2013] [Revised: 03/02/2014] [Accepted: 03/26/2014] [Indexed: 12/19/2022]
Abstract
To investigate a possible association between miR-101 and apoptosis of human trophoblast cells mediated by endoplasmic reticulum protein 44 (ERp44) in preeclampsia (PE), we explored the expression of miR-101 in PE placentas (n=30) compared with normotensive pregnant placentas (n=30) and the correlation between miR-101 and ERp44 was also analyzed. Furthermore, both the apoptotic rate of trophoblast cells and the ER stress-induced apoptotic proteins were assayed when the HTR-8/SVneo cells were treated with miR-101 mimics or inhibitors in vitro. We found a lower expression of miR-101 and an inverse correlation between miR-101 and ERp44 protein in PE placentas. Upregulation of miR-101 expression could inhibit trophoblast HTR-8/SVneo cell apoptosis and repress ER stress-induced apoptotic proteins by targeting ERp44 in vitro, whereas inhibition of miR-101 could induce HTR-8/SVneo cell apoptosis. Our findings indicated that overexpression of miR-101 could downregulate ERp44 and suppress apoptosis in trophoblast cells during PE. Therefore, loss of miR-101 expression could contribute to ER stress-induced trophoblast cell apoptosis by targeting ERp44.
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Malekzadeh A, Teunissen C. Recent progress in omics-driven analysis of MS to unravel pathological mechanisms. Expert Rev Neurother 2014; 13:1001-16. [PMID: 24053344 DOI: 10.1586/14737175.2013.835602] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
At present, the pathophysiology and specific biological markers reflecting pathology of multiple sclerosis (MS) remain undetermined. The risk of developing MS is considered to depend on genetic susceptibility and environmental factors. The interaction of environmental factors with epigenetic mechanisms could affect the transcriptional level and therefore also the translational level. In the last decade, growing amount of hypothesis-free 'omics' studies have shed light on the potential MS mechanisms and raised potential biomarker targets. To understand MS pathophysiology and discover a subset of biomarkers, it is becoming essential to take a step forward and integrate the findings of the different fields of 'omics' into a systems biology network. In this review, we will discuss the recent findings of the genomic, transcriptomic and proteomic fields for MS and aim to make a unifying model.
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Affiliation(s)
- Arjan Malekzadeh
- Department of Clinical Chemistry, VU University Medical Center, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
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van Kampen JGM, Marijnissen-van Zanten MAJ, Simmer F, van der Graaf WTA, Ligtenberg MJL, Nagtegaal ID. Epigenetic targeting in pancreatic cancer. Cancer Treat Rev 2014; 40:656-64. [PMID: 24433955 DOI: 10.1016/j.ctrv.2013.12.002] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2013] [Revised: 12/18/2013] [Accepted: 12/21/2013] [Indexed: 12/22/2022]
Abstract
The prognosis of pancreatic cancer patients is very poor, with a 5-year survival of less than 6%. Therefore, there is an urgent need for new therapeutic options in pancreatic cancer. In the past years it became evident that deregulation of epigenetic mechanisms plays an important role in pancreatic carcinogenesis. This review focuses on the exploitation of drugs that alter histone modifications, DNA methylation and microRNA expression as options for the treatment of pancreatic cancer.
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Affiliation(s)
- Jasmijn G M van Kampen
- Department of Pathology 824, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, The Netherlands; Department of Urology 267, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, The Netherlands.
| | | | - Femke Simmer
- Department of Pathology 824, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, The Netherlands.
| | - Winette T A van der Graaf
- Department of Medical Oncology 452, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, The Netherlands.
| | - Marjolijn J L Ligtenberg
- Department of Pathology 824, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, The Netherlands; Department of Human Genetics 855, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, The Netherlands.
| | - Iris D Nagtegaal
- Department of Pathology 824, Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, The Netherlands.
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