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Integrated Analysis of microRNA and mRNA Expression Profiles: An Attempt to Disentangle the Complex Interaction Network in Attention Deficit Hyperactivity Disorder. Brain Sci 2019; 9:brainsci9100288. [PMID: 31652596 PMCID: PMC6826944 DOI: 10.3390/brainsci9100288] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 10/16/2019] [Accepted: 10/20/2019] [Indexed: 12/11/2022] Open
Abstract
Attention Deficit Hyperactivity Disorder (ADHD) is a childhood-onset neurodevelopmental disorder, whose etiology and pathogenesis are still largely unknown. In order to uncover novel regulatory networks and molecular pathways possibly related to ADHD, we performed an integrated miRNA and mRNA expression profiling analysis in peripheral blood samples of children with ADHD and age-matched typically developing (TD) children. The expression levels of 13 miRNAs were evaluated with microfluidic qPCR, and differentially expressed (DE) mRNAs were detected on an Illumina HiSeq 2500 genome analyzer. The miRNA targetome was identified using an integrated approach of validated and predicted interaction data extracted from seven different bioinformatic tools. Gene Ontology (GO) and pathway enrichment analyses were carried out. Results showed that six miRNAs (miR-652-3p, miR-942-5p, let-7b-5p, miR-181a-5p, miR-320a, and miR-148b-3p) and 560 genes were significantly DE in children with ADHD compared to TD subjects. After correction for multiple testing, only three miRNAs (miR-652-3p, miR-148b-3p, and miR-942-5p) remained significant. Genes known to be associated with ADHD (e.g., B4GALT2, SLC6A9 TLE1, ANK3, TRIO, TAF1, and SYNE1) were confirmed to be significantly DE in our study. Integrated miRNA and mRNA expression data identified critical key hubs involved in ADHD. Finally, the GO and pathway enrichment analyses of all DE genes showed their deep involvement in immune functions, reinforcing the hypothesis that an immune imbalance might contribute to the ADHD etiology. Despite the relatively small sample size, in this study we were able to build a complex miRNA-target interaction network in children with ADHD that might help in deciphering the disease pathogenesis. Validation in larger samples should be performed in order to possibly suggest novel therapeutic strategies for treating this complex disease.
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Lang Y, Zhang J, Yuan Z. Construction and dissection of the ceRNA‑ceRNA network reveals critical modules in depression. Mol Med Rep 2019; 19:3411-3420. [PMID: 30864711 PMCID: PMC6471059 DOI: 10.3892/mmr.2019.10009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 11/09/2018] [Indexed: 12/12/2022] Open
Abstract
The prevalence of mental health disorders such as depression is high. Depression is a multifactorial disorder and its underlying mechanisms remain unclear. Competing endogenous RNA (ceRNA) regulation has been reported to serve important roles in human disease. In the present study, ceRNA networks for depression and the corresponding normal physiological states were constructed. Further analysis of the ceRNA networks revealed that ceRNA regulation may be important for depression. Hub ceRNAs including high mobility group nucleosomal binding domain 3, peroxisome proliferator-activated receptor-γ coactivator 1β and leukemia inhibitory factor receptor-α were associated with depression. A common core ceRNA network was identified by comparison analysis. Functional analysis suggested that these ceRNAs may be implicated in depression. Differential expression analysis revealed that ceRNAs in the obtained ceRNA interaction networks were significantly enriched with significantly differentially expressed genes. A total of 8 key functional modules for depression were identified, and small target molecules were screened. ceRNA protocadherin-α subfamily C2 in module 1 and ceRNA Cyclin-dependent kinase 6 in module 3 were reported to be implicated in the occurrence and development of depressive disorders. Thus, the present analysis may provide insight into the pathogenesis of depression and improve its treatment.
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Affiliation(s)
- Yan Lang
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, P.R. China
| | - Jingchao Zhang
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, P.R. China
| | - Zheng Yuan
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, P.R. China
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Linnstaedt SD, Pan Y, Mauck MC, Sullivan J, Zhou CY, Jung L, Rueckeis CA, Blount JD, Carson MS, Tungate AS, Kurz MC, Hendry PL, Lewandowski C, D'Anza T, Datner E, Bell K, Lechner M, Shupp JW, Cairns BA, McLean SA. Evaluation of the Association Between Genetic Variants in Circadian Rhythm Genes and Posttraumatic Stress Symptoms Identifies a Potential Functional Allele in the Transcription Factor TEF. Front Psychiatry 2018; 9:597. [PMID: 30498461 PMCID: PMC6249322 DOI: 10.3389/fpsyt.2018.00597] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2018] [Accepted: 10/26/2018] [Indexed: 12/13/2022] Open
Abstract
Previous studies suggest that genetic variants within genes affecting the circadian rhythm influence the development of posttraumatic stress symptoms (PTSS). In the present study, we used data from three emergency care-based cohorts to search genetic variants in circadian pathway genes previously associated with neuropsychiatric disorders for variants that influence PTSS severity. The three cohorts used included a discovery cohort of African American men and women enrolled following motor vehicle collision (n = 907) and two replication cohorts: one of multi-ethnic women enrolled following sexual assault (n = 274) and one of multi-ethnic men and women enrolled following major thermal burn injury (n = 68). DNA and RNA were collected from trauma survivors at the time of initial assessment. Validated questionnaires were used to assess peritraumatic distress severity and to assess PTSS severity 6 weeks, 6 months, and 1 year following trauma exposure. Thirty-one genetic variants from circadian rhythm genes were selected for analyses, and main effect and potential gene*stress and gene*sex interactions were evaluated. Secondary analyses assessed whether associated genetic variants affected mRNA expression levels. We found that six genetic variants across five circadian rhythm-associated genes predicted PTSS outcomes following motor vehicle collision (p < 0.05), but only two of these variants survived adjustment for multiple comparisons (False Discovery Rate < 5%). The strongest of these associations, an interaction between the PAR-zip transcription factor, thyrotroph embryonic factor (TEF) variant rs5758324 and peritraumatic distress, predicted PTSS development in all three cohorts. Further analysis of genetic variants in the genetic region surrounding TEFrs5758324 (±125,000 nucleotides) indicated that this allele showed the strongest association. Further, TEF RNA expression levels (determined via RNA-seq) were positively associated with PTSS severity in distressed individuals with at least one copy of the TEFrs5758324 minor allele. These results suggest that rs5758324 genetic variant in TEF, a regulator of clock-controlled genes and key mediator of the core circadian rhythm, influence PTSS severity in a stress-dependent manner.
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Affiliation(s)
- Sarah D Linnstaedt
- Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, United States.,Department of Anesthesiology, University of North Carolina, Chapel Hill, NC, United States
| | - Yue Pan
- Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, United States.,Department of Biostatistics, University of North Carolina, Chapel Hill, NC, United States
| | - Matthew C Mauck
- Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, United States.,Department of Anesthesiology, University of North Carolina, Chapel Hill, NC, United States
| | - Jenyth Sullivan
- Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, United States
| | - Christine Y Zhou
- Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, United States
| | - Lindsey Jung
- Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, United States.,Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States
| | - Cathleen A Rueckeis
- Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, United States
| | - Jameson D Blount
- Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, United States
| | - Matthew S Carson
- Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, United States
| | - Andrew S Tungate
- Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, United States
| | - Michael C Kurz
- Department of Emergency Medicine, University of Alabama School of Medicine, Birmingham, AL, United States
| | - Phyllis L Hendry
- Department of Emergency Medicine, University of Florida College of Medicine, Jacksonville, FL, United States
| | | | - Teresa D'Anza
- Albuquerque Sexual Assault Nurse Examiner Collaborative, Albuquerque, NM, United States
| | - Elizabeth Datner
- Department of Emergency Medicine, Albert Einstein Medical Center, Philadelphia, PA, United States
| | - Kathy Bell
- Forensic Nursing Program, Tulsa Police Department, Tulsa, OK, United States
| | - Megan Lechner
- Forensic Nursing Program, Memorial Health System, Colorado Springs, CO, United States
| | - Jeffrey W Shupp
- Department of Surgery, The Burn Center, MedStar Washington Hospital Center, Georgetown University School of Medicine, Washington, DC, United States
| | - Bruce A Cairns
- Jaycee Burn Center, University of North Carolina, Chapel Hill, NC, United States
| | - Samuel A McLean
- Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, United States.,Department of Anesthesiology, University of North Carolina, Chapel Hill, NC, United States.,Department of Emergency Medicine, University of North Carolina, Chapel Hill, NC, United States
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He S, Liu X, Jiang K, Peng D, Hong W, Fang Y, Qian Y, Yu S, Li H. Alterations of microRNA-124 expression in peripheral blood mononuclear cells in pre- and post-treatment patients with major depressive disorder. J Psychiatr Res 2016; 78:65-71. [PMID: 27078210 DOI: 10.1016/j.jpsychires.2016.03.015] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2015] [Revised: 03/06/2016] [Accepted: 03/30/2016] [Indexed: 11/17/2022]
Abstract
Recently, increasing evidence has indicated that dysfunction of microRNA-124 (miR-124) might be involved in the pathophysiology and treatment of major depressive disorder (MDD) in some animal models of depression. However, the role of miR-124 in MDD patients remains unclear. The objective of this study was to investigate whether the miR-124 expression levels in peripheral blood mononuclear cells (PBMCs) were associated with MDD and to evaluate the effects of antidepressant treatment on miR-124 levels. Quantitative real-time PCR was applied to detect miR-124 expression in 32 pre- and post-treatment MDD patients and 30 healthy controls. Our results showed that expression levels of miR-124 from PBMCs in MDD patients were significantly higher than those in healthy controls (p < 0.001), and that the area under the curve of miR-124 from ROC analysis was 0.762 with a sensitivity of 83.33% and specificity of 66.67% in distinguishing MDD patients from healthy controls. In addition, the expression levels of miR-124 were significantly down-regulated after eight weeks of treatment (p < 0.001). MiRNA target gene prediction and functional annotation analysis indicated that altered miR-124 was involved in affecting some important biological processes and pathways related to MDD. These results provide new information on miR-124 involvement in the biological alterations of MDD and in antidepressant effects.
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Affiliation(s)
- Shen He
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Xiaohua Liu
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.
| | - Kaida Jiang
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Daihui Peng
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Wu Hong
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Yiru Fang
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Yiping Qian
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Shunying Yu
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Huafang Li
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China; Institution of Drug Clinical Trials, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China.
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Maglione JE, Nievergelt CM, Parimi N, Evans DS, Ancoli-Israel S, Stone KL, Yaffe K, Redline S, Tranah GJ. Associations of PER3 and RORA Circadian Gene Polymorphisms and Depressive Symptoms in Older Adults. Am J Geriatr Psychiatry 2015; 23:1075-87. [PMID: 25892098 PMCID: PMC4568170 DOI: 10.1016/j.jagp.2015.03.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2014] [Revised: 01/23/2015] [Accepted: 03/04/2015] [Indexed: 01/13/2023]
Abstract
BACKGROUND Depressive symptoms are common in older adults and associated with poor outcomes. Although circadian genes have been implicated in depression, the relationship between circadian genes and depressive symptoms in older adults is unclear. METHODS A cross-sectional genetic association study of 529 single nucleotide polymorphisms (SNPs) representing 30 candidate circadian genes was performed in two population-based cohorts: the Osteoporotic Fractures in Men Study (MrOS; N=270, age: 76.58±5.61 years) and the Study of Osteoporotic Fractures (SOF) in women (N=1740, 84.05±3.53 years) and a meta-analysis was performed. Depressive symptoms were assessed with the Geriatric Depression Scale categorizing participants as having none-few symptoms (0-2), some depressive symptoms (>2 to <6), or many depressive symptoms (≥6). RESULTS We found associations meeting multiple testing criteria for significance between the PER3 intronic SNP rs12137927 and decreased odds of reporting "some depressive symptoms" in the SOF sample (odds ratio [OR]: 0.61, 95% confidence interval [CI]: 0.48-0.78, df=1, Wald χ2=-4.04, p=0.000054) and the meta-analysis (OR: 0.61, CI: 0.48-0.78, z=-4.04, p=0.000054) and between the PER3 intronic SNPs rs228644 (OR: 0.74, CI: 0.63-0.86, z=3.82, p=0.00013) and rs228682 (OR: 0.74, CI: 0.86-0.63, z=3.81, p=0.00014) and decreased odds of reporting "some depressive symptoms" in the meta-analysis compared to endorsing none-few depressive symptoms. The RORA intronic SNP rs11632098 was associated with greater odds of reporting "many depressive symptoms" (OR: 2.16, CI: 1.45-3.23, df=1, Wald χ2=3.76, p=0.000168) in the men. In the meta-analysis the association was attenuated and nominally significant (OR: 1.63, CI: 1.24-2.16, z=3.45, p=0.00056). CONCLUSION PER3 and RORA may play important roles in the development of depressive symptoms in older adults.
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Affiliation(s)
- Jeanne E. Maglione
- Department of Psychiatry, University of California, San Diego, La Jolla, CA
| | | | - Neeta Parimi
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - Daniel S. Evans
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - Sonia Ancoli-Israel
- Department of Psychiatry, University of California, San Diego, La Jolla, CA,Department of Medicine, University of California, San Diego, La Jolla, CA
| | - Katie L. Stone
- California Pacific Medical Center Research Institute, San Francisco, CA
| | - Kristine Yaffe
- Departments of Psychiatry, Neurology and Epidemiology, University of California, San Francisco, CA
| | - Susan Redline
- Departments of Medicine, Brigham and Women’s Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA
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Kripke DF, Elliott JA, Welsh DK, Youngstedt SD. Photoperiodic and circadian bifurcation theories of depression and mania. F1000Res 2015; 4:107. [PMID: 26180634 PMCID: PMC4490783 DOI: 10.12688/f1000research.6444.1] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/05/2015] [Indexed: 12/26/2022] Open
Abstract
Seasonal effects on mood have been observed throughout much of human history. Seasonal changes in animals and plants are largely mediated through the changing photoperiod (i.e., the photophase or duration of daylight). We review that in mammals, daylight specifically regulates SCN (suprachiasmatic nucleus) circadian organization and its control of melatonin secretion. The timing of melatonin secretion interacts with gene transcription in the pituitary pars tuberalis to modulate production of TSH (thyrotropin), hypothalamic T3 (triiodothyronine), and tuberalin peptides which modulate pituitary production of regulatory gonadotropins and other hormones. Pituitary hormones largely mediate seasonal physiologic and behavioral variations. As a result of long winter nights or inadequate illumination, we propose that delayed morning offset of nocturnal melatonin secretion, suppressing pars tuberalis function, could be the main cause for winter depression and even cause depressions at other times of year. Irregularities of circadian sleep timing and thyroid homeostasis contribute to depression. Bright light and sleep restriction are antidepressant and conversely, sometimes trigger mania. We propose that internal desynchronization or bifurcation of SCN circadian rhythms may underlie rapid-cycling manic-depressive disorders and perhaps most mania. Much further research will be needed to add substance to these theories.
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Affiliation(s)
- Daniel F Kripke
- Department of Psychiatry and Center for Circadian Biology, University of California, San Diego, CA, 92093-0603, USA
| | - Jeffrey A Elliott
- Department of Psychiatry and Center for Circadian Biology, University of California, San Diego, CA, 92093-0603, USA
| | - David K Welsh
- Department of Psychiatry and Center for Circadian Biology, University of California, San Diego, CA, 92093-0603, USA
| | - Shawn D Youngstedt
- College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, 85004-4431, USA
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Liu C, Chung M. Genetics and epigenetics of circadian rhythms and their potential roles in neuropsychiatric disorders. Neurosci Bull 2015; 31:141-59. [PMID: 25652815 DOI: 10.1007/s12264-014-1495-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Accepted: 01/19/2015] [Indexed: 01/07/2023] Open
Abstract
Circadian rhythm alterations have been implicated in multiple neuropsychiatric disorders, particularly those of sleep, addiction, anxiety, and mood. Circadian rhythms are known to be maintained by a set of classic clock genes that form complex mutual and self-regulatory loops. While many other genes showing rhythmic expression have been identified by genome-wide studies, their roles in circadian regulation remain largely unknown. In attempts to directly connect circadian rhythms with neuropsychiatric disorders, genetic studies have identified gene mutations associated with several rare sleep disorders or sleep-related traits. Other than that, genetic studies of circadian genes in psychiatric disorders have had limited success. As an important mediator of environmental factors and regulators of circadian rhythms, the epigenetic system may hold the key to the etiology or pathology of psychiatric disorders, their subtypes or endophenotypes. Epigenomic regulation of the circadian system and the related changes have not been thoroughly explored in the context of neuropsychiatric disorders. We argue for systematic investigation of the circadian system, particularly epigenetic regulation, and its involvement in neuropsychiatric disorders to improve our understanding of human behavior and disease etiology.
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Affiliation(s)
- Chunyu Liu
- State Key Laboratory of Medical Genetics of China, Changsha, 410078, China,
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Kripke DF, Kline LE, Nievergelt CM, Murray SS, Shadan FF, Dawson A, Poceta JS, Cronin J, Jamil SM, Tranah GJ, Loving RT, Grizas AP, Hahn EK. Genetic variants associated with sleep disorders. Sleep Med 2015; 16:217-24. [PMID: 25660813 PMCID: PMC4352103 DOI: 10.1016/j.sleep.2014.11.003] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Revised: 10/30/2014] [Accepted: 11/14/2014] [Indexed: 12/31/2022]
Abstract
OBJECTIVE The diagnostic boundaries of sleep disorders are under considerable debate. The main sleep disorders are partly heritable; therefore, defining heritable pathophysiologic mechanisms could delineate diagnoses and suggest treatment. We collected clinical data and DNA from consenting patients scheduled to undergo clinical polysomnograms, to expand our understanding of the polymorphisms associated with the phenotypes of particular sleep disorders. METHODS Patients at least 21 years of age were recruited to contribute research questionnaires, and to provide access to their medical records, saliva for deoxyribonucleic acid (DNA), and polysomnographic data. From these complex data, 38 partly overlapping phenotypes were derived indicating complaints, subjective and objective sleep timing, and polysomnographic disturbances. A custom chip was used to genotype 768 single-nucleotide polymorphisms (SNPs). Additional assays derived ancestry-informative markers (eg, 751 participants of European ancestry). Linear regressions controlling for age, gender, and ancestry were used to assess the associations of each phenotype with each of the SNPs, highlighting those with Bonferroni-corrected significance. RESULTS In peroxisome proliferator-activated receptor gamma, coactivator 1 beta (PPARGC1B), rs6888451 was associated with several markers of obstructive sleep apnea. In aryl hydrocarbon receptor nuclear translocator-like (ARNTL), rs10766071 was associated with decreased polysomnographic sleep duration. The association of rs3923809 in BTBD9 with periodic limb movements in sleep was confirmed. SNPs in casein kinase 1 delta (CSNK1D rs11552085), cryptochrome 1 (CRY1 rs4964515), and retinoic acid receptor-related orphan receptor A (RORA rs11071547) were less persuasively associated with sleep latency and time of falling asleep. CONCLUSIONS SNPs associated with several sleep phenotypes were suggested, but due to risks of false discovery, independent replications are needed before the importance of these associations can be assessed, followed by investigation of molecular mechanisms.
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Affiliation(s)
- Daniel F Kripke
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA; Department of Psychiatry, University of California, San Diego, La Jolla, CA, USA.
| | | | | | - Sarah S Murray
- Department of Pathology, Center for Advanced Laboratory Medicine, University of California, San Diego, CA, USA
| | - Farhad F Shadan
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - Arthur Dawson
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - J Steven Poceta
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - John Cronin
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - Shazia M Jamil
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - Gregory J Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
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Kripke DF, Klimecki WT, Nievergelt CM, Rex KM, Murray SS, Shekhtman T, Tranah GJ, Loving RT, Lee HJ, Rhee MK, Shadan FF, Poceta JS, Jamil SM, Kline LE, Kelsoe JR. Circadian polymorphisms in night owls, in bipolars, and in non-24-hour sleep cycles. Psychiatry Investig 2014; 11:345-62. [PMID: 25395965 PMCID: PMC4225198 DOI: 10.4306/pi.2014.11.4.345] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2014] [Revised: 04/18/2014] [Accepted: 04/18/2014] [Indexed: 12/13/2022] Open
Abstract
People called night owls habitually have late bedtimes and late times of arising, sometimes suffering a heritable circadian disturbance called delayed sleep phase syndrome (DSPS). Those with DSPS, those with more severe progressively-late non-24-hour sleep-wake cycles, and those with bipolar disorder may share genetic tendencies for slowed or delayed circadian cycles. We searched for polymorphisms associated with DSPS in a case-control study of DSPS research participants and a separate study of Sleep Center patients undergoing polysomnography. In 45 participants, we resequenced portions of 15 circadian genes to identify unknown polymorphisms that might be associated with DSPS, non-24-hour rhythms, or bipolar comorbidities. We then genotyped single nucleotide polymorphisms (SNPs) in both larger samples, using Illumina Golden Gate assays. Associations of SNPs with the DSPS phenotype and with the morningness-eveningness parametric phenotype were computed for both samples, then combined for meta-analyses. Delayed sleep and "eveningness" were inversely associated with loci in circadian genes NFIL3 (rs2482705) and RORC (rs3828057). A group of haplotypes overlapping BHLHE40 was associated with non-24-hour sleep-wake cycles, and less robustly, with delayed sleep and bipolar disorder (e.g., rs34883305, rs34870629, rs74439275, and rs3750275 were associated with n=37, p=4.58E-09, Bonferroni p=2.95E-06). Bright light and melatonin can palliate circadian disorders, and genetics may clarify the underlying circadian photoperiodic mechanisms. After further replication and identification of the causal polymorphisms, these findings may point to future treatments for DSPS, non-24-hour rhythms, and possibly bipolar disorder or depression.
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Affiliation(s)
- Daniel F. Kripke
- Department of Psychiatry, University of California, San Diego, CA, USA
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | - Walter T. Klimecki
- Department of Pharmacology and Toxicology, University of Arizona, Tucson, AZ, USA
| | | | - Katharine M. Rex
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Sarah S. Murray
- Department of Pathology, Center for Advanced Laboratory Medicine, University of California, San Diego, CA, USA
| | - Tatyana Shekhtman
- Department of Psychiatry, University of California, San Diego, CA, USA
- VA San Diego Healthcare System, San Diego, CA, USA
| | - Gregory J. Tranah
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | | | - Heon-Jeong Lee
- Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea
| | - Min Kyu Rhee
- Department of Psychology, Gyeongsang National University, Jinju, Republic of Korea
| | | | | | - Shazia M. Jamil
- Viterbi Family Sleep Center, Scripps Clinic, La Jolla, CA, USA
| | | | - John R. Kelsoe
- Department of Psychiatry, University of California, San Diego, CA, USA
- VA San Diego Healthcare System, San Diego, CA, USA
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