GENOTYPE-SYMPTOMATOLOGY CORRELATION STUDIES IN PATIENTS WITH ANXIETY

Authors

  • Chen Shengdong Department of Neurology, No.102 Hospital of Chinese People’s Liberation Army, Changzhou, People’s Republic of China
  • Mingjun He Prevention and Treatment Center for Psychological Diseases, No.102 Hospital of Chinese People’s Liberation Army, Changzhou, People’s Republic of China
  • Xiaoli Zhu Prevention and Treatment Center for Psychological Diseases, No.102 Hospital of Chinese People’s Liberation Army, Changzhou, People’s Republic of China
  • Wei Niu Department of Rehabilitation, No.102 Hospital of Chinese People’s Liberation Army, Changzhou, People’s Republic of China
  • Lingming Kong Prevention and Treatment Center for Psychological Diseases, No.102 Hospital of Chinese People’s Liberation Army, Changzhou, People’s Republic of China
  • Gaofeng Chen Prevention and Treatment Center for Psychological Diseases, No.102 Hospital of Chinese People’s Liberation Army, Changzhou, People’s Republic of China
  • Liyi Zhang Prevention and Treatment Center for Psychological Diseases, No.102 Hospital of Chinese People’s Liberation Army, Changzhou, People’s Republic of China

DOI:

https://doi.org/10.29121/granthaalayah.v5.i12.2017.468

Keywords:

Anxiety, lncRNA, HAMA, Biomarker

Abstract [English]

Projects: To explore the relationship of lncRNAs with altered expression in peripheral blood with symptomatogy in anxiety patients.


Methods: Gene microarray was carried on to screen the lncRNAs with altered expressions between anxiety patients (GAD) and healthy people (NC), and qPCR was performed to validate these screened lncRNAs. GAD was assessed by HAMA to analyze differently-expressed lncRNAs and its relationship with symptomatology.


Results: 1. The expression levels of PR1-PR10 were positively relayed to psychic anxiety and the total score of HAMA (r=0.187~0.253,P< 0.01 or P< 0.05), the expression level of PR7 was positively related to somatic anxiety (r=0.171,P< 0.05); 2. ROC curve combined analysis showed that the AUC value of ten lncRNAs arrived at 0.808, at chic YI=YImax, sensitivity and specificity was 66.3%, 90.5% respectively; 3. High expression group of PR7 (NONHSAG049179) was significantly higher than that in low expression group accounting for psychic anxiety, aromatic anxiety and total score of HAMA.


Conclusion: lncRNA with altered expression may be involved in MDD, and NONHSAG049179 is closely associated with psychic anxiety and somatic anxiety.

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References

Liyi Zhang, Hongsheng Chen. Clinical psychology(DSM-V)[M], Beijing: People’s Military Medical Publisher,2015

American Psychiatric Association. Diagnostic and statistical manual of mental disorders (5th ed.) [M]. American Psychiatric Association, 2013: 145-165. DOI: https://doi.org/10.1176/appi.books.9780890425596

Bandelow B, Lichte T, Rudolf S, et al. The diagnosis of and treatment recommendations for anxiety disorders [J]. DeutschesArzteblatt international, 2014; 111:473-80. DOI: https://doi.org/10.3238/arztebl.2014.0473

Sheng-dong Chen, Xin-yang Sun, Wei Niu, et al. Correlation between the level of microRNA expression in peripheral blood mononuclear cells and symptomatology in patients with generalized anxiety disorder [J]. Science Direct, 2016: 216-224. DOI: https://doi.org/10.1016/j.comppsych.2016.05.006

Kunugi H,Hori H,Numakawa T,et al. The hypothalamic-pituitary-adrenal axis and depressive disorder: recent progress [J]. Nihon ShinkeiSeishinYakurigaku Zasshi.2012, Aug 32(4):203-209.

Huiming Fan, Wei Niu, Mingjun He, et al. Bioinformatics analysis of microRNA in peripheral blood of GAD patients [J], China Journal of Medical Genetics,2015,32(5):641-646.

Okazaki Y, Furuno M, Kasukawa T, et al. Analysis of the mouse transcriptome based on functional annotat ion of 60, 770 full- length cDNAs[J]. Nature, 2002, 420: 563-573. DOI: https://doi.org/10.1038/nature01266

G Botti, L Marra, MG Malzone, et al. LncRNA HOTAIR as prognostic circulating marker and potential therapeutic target in patients with tumor diseases[J]. Current Drug Targets, 2017, 18(1):27. DOI: https://doi.org/10.2174/1389450117666151209122950

S Yotsukura, D Duverle, T Hancock, et al. Computational recognition for long non-coding RNA (lncRNA): Software and databases [J]. Briefings in Bioinformatics, 2017, 18(1):9. DOI: https://doi.org/10.1093/bib/bbv114

U Perron, P Provero, I Molineris. In silico prediction of lncRNA function using tissue specific and evolutionary conserved expression [J]. Bmc Bioinformatics, 2017, 18(5):144. DOI: https://doi.org/10.1186/s12859-017-1535-x

YA Huang, X Chen, ZH You, et al. ILNCSIM: improved lncRNA functional similarity calculation model [J]. Oncotarget, 2016, 7(18):25902-25914. DOI: https://doi.org/10.18632/oncotarget.8296

A Bhan, SS Mandal. LncRNA HOTAIR: A master regulator of chromatin dynamics and cancer [J]. BiochimicaEtBiophysicaActa, 2015, 1856(1):151-64. DOI: https://doi.org/10.1016/j.bbcan.2015.07.001

MD Ballantyne, RAMcdonald, AH Baker. LncRNA/microRNA interactions in the vasculature [J]. Clinical Pharmacology & Therapeutics, 2016, 99(5):494-501. DOI: https://doi.org/10.1002/cpt.355

Clark B S. Long non-coding RNA-dependent transcriptional regulation in neuronal development and disease [J]. Non-Coding RNA, 2014, 5:164-164. DOI: https://doi.org/10.3389/fgene.2014.00164

M Sun, FQ Nie, ZX Wang, et al. Involvement of lncRNAdysregulation in gastric cancer [J]. Histology & Histopathology, 2016, 31(1):33.

Barry G, Briggs J A, Vanichkina D P, et al. The long non-coding RNA Gomafu is acutely regulated in response to neuronal activation and involved in schizophrenia-associated alternative splicing [J]. Molecular Psychiatry, 2014, 19(4):486-494. DOI: https://doi.org/10.1038/mp.2013.45

Rao S Q, Hu H L, Ning Y, et al. Genetic variants in long non-coding RNA MIAT contribute to risk of paranoid schizophrenia in a Chinese Han population.[J]. Schizophrenia Research, 2015. DOI: https://doi.org/10.1016/j.schres.2015.04.032

Yang X, Gao L, Guo X, et al. A Network Based Method for Analysis of lncRNA-Disease Associations and Prediction of lncRNAs Implicated in Diseases [J]. Plos One, 2014, 9(1):e87797. DOI: https://doi.org/10.1371/journal.pone.0087797

Lau E. Non-coding RNA: Zooming in on lncRNA functions [J]. Nature Reviews Genetics, 2014, 15(9):574-575. DOI: https://doi.org/10.1038/nrg3795

Hong-tao Song, Xin-yang Sun, Liang Zhang, et al. A preliminary analysis of association between the down-regulation of microRNA-181b expression and symptomatology improvement in schizophrenia patients before and after antipsychotic treatment [J]. Journal of Psychiatric Research, 2014, 54(7):134-140. DOI: https://doi.org/10.1016/j.jpsychires.2014.03.008

Bin Xu, Pei-Ken Hsu, Kimberly L. Stark,et al. DE repression of a Neuronal Inhibitor due to miRNADys regulation in a Schizophrenia-Related Micro deletion[J]. Cell, 2013, 152(1–2): 262-275. DOI: https://doi.org/10.1016/j.cell.2012.11.052

Yuhua Tang, Mingyuan Zhang. Hamilton Anxiety Scale (HAMA)[J]. Shanghai Archives of Psychiatry, 1984, (2).

Cui X, Niu W, Kong L, He M, Jiang K, Chen S, Zhong A, Li W, Lu J, Zhang L. hsa_circRNA_103636: potential novel diagnostic and therapeutic biomarker in Major depressive disorder [J]. Biomark Med, 2016, 10(9):943-952. DOI: https://doi.org/10.2217/bmm-2016-0130

Fan HM, Sun XY, Guo W, Zhong AF, Niu W, Zhao L, et al. Differential expression of microRNA in peripheral blood mononuclear cells as specific biomarker for major depressive disorder patients [J]. Journal of psychiatric research, 2014; 59:45-52.

Fan H-m, Sun X-y, Guo W, Zhong A-f, Niu W, Zhao L, et al. Differential expression of microRNA in peripheral blood mononuclear cells as specific biomarker for major depressive disorder patients [J]. Journal of psychiatric research, 2014. DOI: https://doi.org/10.1016/j.jpsychires.2014.08.007

Xu X. Same computational analysis, different miRNA target predictions [J]. Nature methods, 2007; 4:191. DOI: https://doi.org/10.1038/nmeth0307-191a

Fan HM, Niu W, He MJ, Zhong AF, Zhang QL, Yan Y, et al. Bioinformatics analysis of differently expressed microRNAs in anxiety disorder [J]. Med Genet 2015; 32:641-6.

Ishizuka A, Hasegawa Y, Ishida K, Yanaka K, Nakagawa S. Formation of nuclear bodies by the lncRNAGomafu-associating proteins Celf3 and SF1[J]. Genes Cells, 2014, 19(9): 704-721. DOI: https://doi.org/10.1111/gtc.12169

JD Mills, J Chen, WS Kim, et al. long intervening non-coding RNA 00320 is human brain-specific and highly expressed in the cortical white matter [J]. Neurogenetics, 2015, 16(3):1-13. DOI: https://doi.org/10.1007/s10048-015-0445-1

JihuaNie, ChaojunPeng, Weiwei Pei, et al. A novel role of long non-coding RNAs in response to X-ray irradiation [J]. Toxicology in Vitro, 2015;DIO:10.1016/j.tiv.2015.09.007. DOI: https://doi.org/10.1016/j.tiv.2015.09.007

Louveau A, Smirnov I, Keyes TJ, et al. Structural and functional features of central nervous system lymphatic vessels. [J]. Nature, 2015. DOI: https://doi.org/10.1038/nature14432

Hansen T B, Jensen T I, Clausen B H, et al. Natural RNA circles function as efficient microRNA sponges [J]. Nature, 2013, 495(7441): 384-388. DOI: https://doi.org/10.1038/nature11993

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Published

2017-12-31

How to Cite

Shengdong, C., He, M., Zhu, X. ., Niu, W., Kong, L., Chen, G., & Zhang, L. (2017). GENOTYPE-SYMPTOMATOLOGY CORRELATION STUDIES IN PATIENTS WITH ANXIETY. International Journal of Research -GRANTHAALAYAH, 5(12), 1–9. https://doi.org/10.29121/granthaalayah.v5.i12.2017.468