nach oben

Erschienen in:

01.03.2019 | Original Paper

Network Analysis of Depression-Related Transcriptomic Profiles

verfasst von: Xiao Miao, Bin Fan, Rongqun Li, Shaoping Zhang, Honghuang Lin, for the Alzheimer’s Disease Neuroimaging Initiative

Erschienen in: NeuroMolecular Medicine | Ausgabe 2/2019

Einloggen, um Zugang zu erhalten

Abstract

Major depressive disorder is a common debilitating disorder that is associated with increased morbidity and mortality. However, the molecular mechanism underlying depression remains largely unknown. The current study investigated the association of depression with blood gene expression using data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Depression was measured by the geriatric depression scale, and the blood gene expression was measured by the Affymetrix Human Genome U219 Array. Linear regression was used to test the association between gene expression and depression, and the model was adjusted for age and sex. A total of 671 participants were included in our study (mean age 75 ± 8 years, 43.2% women). We found three genes were associated with depression, including COL1A2 (P = 8.9 × 10⁻⁸), RNF150 (P = 1.4 × 10⁻⁷) and CTGF (P = 8.3 × 10⁻⁷). An interaction network was built, and the pathway analysis indicated that many depression-related genes were involved in the neurotrophin signaling pathway (P = 2.1 × 10⁻⁷). Future studies are necessary to validate our findings and further investigate potential mechanism of depression.

Nur mit Berechtigung zugänglich

Berglund, M., & Nilsson, K. (1987). Mortality in severe depression. A prospective study including 103 suicides. Acta Psychiatrica Scandinavica, 76(4), 372–380.CrossRef

Boomsma, D. I., Willemsen, G., Sullivan, P. F., Heutink, P., Meijer, P., Sondervan, D., et al. (2008). Genome-wide association of major depression: description of samples for the GAIN Major Depressive Disorder Study: NTR and NESDA biobank projects. European Journal of Human Genetics, 16(3), 335–342. https://doi.org/10.1038/sj.ejhg.5201979.CrossRefPubMed

Broadhead, W. E., Blazer, D. G., George, L. K., & Tse, C. K. (1990). Depression, disability days, and days lost from work in a prospective epidemiologic survey. JAMA, 264(19), 2524–2528.CrossRef

Bryant, A. J., Carrick, R. P., McConaha, M. E., Jones, B. R., Shay, S. D., Moore, C. S., et al. (2016). Endothelial HIF signaling regulates pulmonary fibrosis-associated pulmonary hypertension. American Journal of Physiology Lung Cellular and Molecular Physiology, 310(3), L249–L262. https://doi.org/10.1152/ajplung.00258.2015.CrossRefPubMed

Cavanagh, J. T., Carson, A. J., Sharpe, M., & Lawrie, S. M. (2003). Psychological autopsy studies of suicide: a systematic review. Psychological Medicine, 33(3), 395–405.CrossRef

Chu, C. Y., Chang, C. C., Prakash, E., & Kuo, M. L. (2008). Connective tissue growth factor (CTGF) and cancer progression. Journal of Biomedicine Science, 15(6), 675–685. https://doi.org/10.1007/s11373-008-9264-9.CrossRef

Cowley, M. J., Pinese, M., Kassahn, K. S., Waddell, N., Pearson, J. V., Grimmond, S. M., et al. (2012). PINA v2.0: mining interactome modules. [Research Support, Non-U.S. Gov’t]. Nucleic Acids Research. 40(Database issue), D862–D865. https://doi.org/10.1093/nar/gkr967.CrossRef

Craddock, N., & Forty, L. (2006). Genetics of affective (mood) disorders. European Journal of Human Genetics, 14(6), 660–668. https://doi.org/10.1038/sj.ejhg.5201549.CrossRefPubMed

Ding, Y., Niu, H., Yang, H., Sun, P., Chen, Y., Duan, M., et al. (2015). EGLN2 and RNF150 genetic variants are associated with chronic obstructive pulmonary disease risk in the Chinese population. International Journal of Chronic Obstructive Pulmonary Disease, 10, 145–151. https://doi.org/10.2147/COPD.S73031.CrossRefPubMedPubMedCentral

Farmer, A., Harris, T., Redman, K., Sadler, S., Mahmood, A., & McGuffin, P. (2000). Cardiff depression study. A sib-pair study of life events and familiality in major depression. The British Journal of Psychiatry, 176, 150–155.CrossRef

Fonseca, C., Lindahl, G. E., Ponticos, M., Sestini, P., Renzoni, E. A., Holmes, A. M., et al. (2007). A polymorphism in the CTGF promoter region associated with systemic sclerosis. New England Journal of Medicine, 357(12), 1210–1220. https://doi.org/10.1056/NEJMoa067655.CrossRefPubMed

Granel, B., Argiro, L., Hachulla, E., Fajardy, I., Weiller, P. J., Durand, J. M., et al. (2010). Association between a CTGF gene polymorphism and systemic sclerosis in a French population. The Journal of Rheumatology, 37(2), 351–358. https://doi.org/10.3899/jrheum.090290.CrossRefPubMed

Greenberg, P. E., Stiglin, L. E., Finkelstein, S. N., & Berndt, E. R. (1993). The economic burden of depression in 1990. The Journal of Clinical Psychiatry, 54(11), 405–418.PubMed

GTEx Consortium. (2015). Human genomics. The Genotype-Tissue Expression (GTEx) pilot analysis: multitissue gene regulation in humans. Science, 348(6235), 648–660. https://doi.org/10.1126/science.1262110.CrossRefPubMedCentral

Ideker, T., Ozier, O., Schwikowski, B., & Siegel, A. F. (2002). Discovering regulatory and signalling circuits in molecular interaction networks. Bioinformatics, 18(Suppl 1), S233–S240.CrossRef

Jacobson, A., & Cunningham, J. L. (2012). Connective tissue growth factor in tumor pathogenesis. Fibrogenesis Tissue Repair. 5(Suppl 1), S8. https://doi.org/10.1186/1755-1536-5-S1-S8.CrossRefPubMedPubMedCentral

Jia, P., Zheng, S., Long, J., Zheng, W., & Zhao, Z. (2011). dmGWAS: dense module searching for genome-wide association studies in protein-protein interaction networks. Bioinformatics, 27(1), 95–102.CrossRef

Kendler, K. S., Gatz, M., Gardner, C. O., & Pedersen, N. L. (2005). Age at onset and familial risk for major depression in a Swedish national twin sample. Psychological Medicine, 35(11), 1573–1579. https://doi.org/10.1017/S0033291705005714.CrossRefPubMed

Kendler, K. S., Neale, M. C., Kessler, R. C., Heath, A. C., & Eaves, L. J. (1993). The lifetime history of major depression in women. Reliability of diagnosis and heritability. Archives of General Psychiatry, 50(11), 863–870.CrossRef

Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005). Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry, 62(6), 593–602. https://doi.org/10.1001/archpsyc.62.6.593.CrossRefPubMed

Lewis, C. M., Ng, M. Y., Butler, A. W., Cohen-Woods, S., Uher, R., Pirlo, K., et al. (2010). Genome-wide association study of major recurrent depression in the U.K. population. American Journal of Psychiatry, 167(8), 949–957. https://doi.org/10.1176/appi.ajp.2010.09091380.CrossRefPubMed

Lopez, A. D., & Murray, C. C. (1998). The global burden of disease, 1990–2020. Nature Medicine, 4(11), 1241–1243. https://doi.org/10.1038/3218.CrossRefPubMed

Lopez-Leon, S., Janssens, A. C., Gonzalez-Zuloeta Ladd, A. M., Del-Favero, J., Claes, S. J., Oostra, B. A., et al. (2008). Meta-analyses of genetic studies on major depressive disorder. Molecular Psychiatry, 13(8), 772–785. https://doi.org/10.1038/sj.mp.4002088.CrossRefPubMed

Marc, L. G., Raue, P. J., & Bruce, M. L. (2008). Screening performance of the 15-item geriatric depression scale in a diverse elderly home care population. The American Journal of Geriatric Psychiatry, 16(11), 914–921. https://doi.org/10.1097/JGP.0b013e318186bd67.CrossRefPubMedPubMedCentral

McGuffin, P., Katz, R., Watkins, S., & Rutherford, J. (1996). A hospital-based twin register of the heritability of DSM-IV unipolar depression. Archives of General Psychiatry, 53(2), 129–136.CrossRef

Miao, X., Chen, X., Xie, Z., & Lin, H. (2018). Tissue-specific network analysis of genetic variants associated with coronary artery disease. Scientific Reports, 8(1), 11492. https://doi.org/10.1038/s41598-018-29904-7.CrossRefPubMedPubMedCentral

Muglia, P., Tozzi, F., Galwey, N. W., Francks, C., Upmanyu, R., Kong, X. Q., et al. (2010). Genome-wide association study of recurrent major depressive disorder in two European case-control cohorts. Molecular Psychiatry, 15(6), 589–601. https://doi.org/10.1038/mp.2008.131.CrossRefPubMed

Peall, K. J., Kurian, M. A., Wardle, M., Waite, A. J., Hedderly, T., Lin, J. P., et al. (2014). SGCE and myoclonus dystonia: motor characteristics, diagnostic criteria and clinical predictors of genotype. Journal of Neurology, 261(12), 2296–2304. https://doi.org/10.1007/s00415-014-7488-3.CrossRefPubMedPubMedCentral

Petersen, R. C., Aisen, P. S., Beckett, L. A., Donohue, M. C., Gamst, A. C., Harvey, D. J., et al. (2010). Alzheimer’s Disease Neuroimaging Initiative (ADNI): clinical characterization. Neurology, 74(3), 201–209. https://doi.org/10.1212/WNL.0b013e3181cb3e25.CrossRefPubMedPubMedCentral

Pope, F. M., Kendall, B. E., Slapak, G. I., Kapoor, R., McDonald, W. I., Compston, D. A., et al. (1991). Type III collagen mutations cause fragile cerebral arteries. British Journal of Neurosurgery, 5(6), 551–574.CrossRef

Saykin, A. J., Shen, L., Yao, X., Kim, S., Nho, K., Risacher, S. L., et al. (2015). Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans. Alzheimers Dementia, 11(7), 792–814. https://doi.org/10.1016/j.jalz.2015.05.009.CrossRef

Schule, B., Kock, N., Svetel, M., Dragasevic, N., Hedrich, K., De Carvalho Aguiar, P., et al. (2004). Genetic heterogeneity in ten families with myoclonus-dystonia. Journal of Neurology Neurosurgery and Psychiatry, 75(8), 1181–1185. https://doi.org/10.1136/jnnp.2003.027177.CrossRef

Shi, J., Potash, J. B., Knowles, J. A., Weissman, M. M., Coryell, W., Scheftner, W. A., et al. (2011). Genome-wide association study of recurrent early-onset major depressive disorder. Molecular Psychiatry, 16(2), 193–201. https://doi.org/10.1038/mp.2009.124.CrossRefPubMed

Shyn, S. I., Shi, J., Kraft, J. B., Potash, J. B., Knowles, J. A., Weissman, M. M., et al. (2011). Novel loci for major depression identified by genome-wide association study of Sequenced Treatment Alternatives to Relieve Depression and meta-analysis of three studies. Molecular Psychiatry, 16(2), 202–215. https://doi.org/10.1038/mp.2009.125.CrossRefPubMed

Sullivan, P. F., de Geus, E. J., Willemsen, G., James, M. R., Smit, J. H., Zandbelt, T., et al. (2009). Genome-wide association for major depressive disorder: a possible role for the presynaptic protein piccolo. Molecular Psychiatry, 14(4), 359–375. https://doi.org/10.1038/mp.2008.125.CrossRefPubMed

Sullivan, P. F., Neale, M. C., & Kendler, K. S. (2000). Genetic epidemiology of major depression: review and meta-analysis. American Journal of Psychiatry, 157(10), 1552–1562. https://doi.org/10.1176/appi.ajp.157.10.1552.CrossRefPubMed

Wang, J., Duncan, D., Shi, Z., & Zhang, B. (2013). WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013. Nucleic Acids Research, 41(Web Server issue), W77–W83. https://doi.org/10.1093/nar/gkt439.CrossRefPubMedPubMedCentral

Waraich, P., Goldner, E. M., Somers, J. M., & Hsu, L. (2004). Prevalence and incidence studies of mood disorders: a systematic review of the literature. Canadian Journal of Psychiatry, 49(2), 124–138. https://doi.org/10.1177/070674370404900208.CrossRefPubMed

Weissman, M. M., Bland, R., Joyce, P. R., Newman, S., Wells, J. E., & Wittchen, H. U. (1993). Sex differences in rates of depression: cross-national perspectives. Journal of Affective Disorders, 29(2–3), 77–84.CrossRef

Wells, K. B., Stewart, A., Hays, R. D., Burnam, M. A., Rogers, W., Daniels, M., et al. (1989). The functioning and well-being of depressed patients. Results from the Medical Outcomes Study. JAMA, 262(7), 914–919.CrossRef

Wilhelm, K., Mitchell, P., Slade, T., Brownhill, S., & Andrews, G. (2003). Prevalence and correlates of DSM-IV major depression in an Australian national survey. Journal of Affective Disorders, 75(2), 155–162.CrossRef

Wray, N. R., Pergadia, M. L., Blackwood, D. H., Penninx, B. W., Gordon, S. D., Nyholt, D. R., et al. (2012). Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learned. Molecular Psychiatry, 17(1), 36–48. https://doi.org/10.1038/mp.2010.109.CrossRefPubMed

Zimprich, A., Grabowski, M., Asmus, F., Naumann, M., Berg, D., Bertram, M., et al. (2001). Mutations in the gene encoding epsilon-sarcoglycan cause myoclonus-dystonia syndrome. Nature Genetics, 29(1), 66–69. https://doi.org/10.1038/ng709.CrossRefPubMed

Titel: Network Analysis of Depression-Related Transcriptomic Profiles
verfasst von: Xiao Miao
Bin Fan
Rongqun Li
Shaoping Zhang
Honghuang Lin
for the Alzheimer’s Disease Neuroimaging Initiative
Publikationsdatum: 01.03.2019
Verlag: Springer US
Erschienen in: NeuroMolecular Medicine / Ausgabe 2/2019
Print ISSN: 1535-1084
Elektronische ISSN: 1559-1174
DOI: https://doi.org/10.1007/s12017-019-08527-9

Leitlinien kompakt für die Neurologie

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Neurologie

23.04.2024 | Demenz | Nachrichten

Update Neurologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Network Analysis of Depression-Related Transcriptomic Profiles

Abstract

Leitlinien kompakt für die Neurologie

Neu im Fachgebiet Neurologie

Demenzkranke durch Antipsychotika vielfach gefährdet

Parkinson-Therapie im Wandel – aktuelle Leitlinie im Fokus

Auf diese Krankheiten bei Geflüchteten sollten Sie vorbereitet sein

Hustenstiller lindert Agitation bei Alzheimer

Update Neurologie

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 2/2019

MiR-34 and MiR-200: Regulator of Cell Fate Plasticity and Neural Development

The Neuronal Ceroid Lipofuscinoses-Linked Loss of Function CLN5 and CLN8 Variants Disrupt Normal Lysosomal Function

Optogenetic Stimulation of the Anterior Cingulate Cortex Ameliorates Autistic-Like Behaviors in Rats Induced by Neonatal Isolation, Caudate Putamen as a Site for Alteration

A Novel Variant (Asn177Asp) in SPTLC2 Causing Hereditary Sensory Autonomic Neuropathy Type 1C

Hydrogen Sulfide Inhibits Formaldehyde-Induced Senescence in HT-22 Cells via Upregulation of Leptin Signaling

Overexpression of Human Mutant PANK2 Proteins Affects Development and Motor Behavior of Zebrafish Embryos

Leitlinien kompakt für die Neurologie

Neu im Fachgebiet Neurologie

Demenzkranke durch Antipsychotika vielfach gefährdet

Parkinson-Therapie im Wandel – aktuelle Leitlinie im Fokus

Auf diese Krankheiten bei Geflüchteten sollten Sie vorbereitet sein

Hustenstiller lindert Agitation bei Alzheimer

Update Neurologie