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Letter to the Editor Response to: Comment on (Detecting Key Genes Regulated by miRNAs in Dysfunctional Crosstalk Pathway of Myasthenia Gravis) Yuze Cao, 1,2 Jianjian Wang, 1 Huixue Zhang, 1 Qinghua Tian, 1 Lixia Chen, 1 Shangwei Ning, 3 Peifang Liu, 1 Xuesong Sun, 1 Xiaoyu Lu, 1 Chang Song, 1 Shuai Zhang, 1 Bo Xiao, 2 and Lihua Wang 1 1 Department of Neurology, e Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China 2 Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China 3 College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China Correspondence should be addressed to Lihua Wang; [email protected] Received 4 January 2017; Accepted 20 February 2017; Published 14 August 2017 Academic Editor: Rituraj Purohit Copyright © 2017 Yuze Cao et al. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. We would like to thank the editor for providing valuable comments. We also thank Dr. Panse for the comments [1]. e comments and contributions of Dr. Panse are very precious and add value to the paper. We would like to reply to the comments on our manuscript titled “Detecting Key Genes Regulated by miRNAs in Dysfunctional Crosstalk Pathway of Myasthenia Gravis” [2]. We have tried our best to reply to the comments by providing our opinions below. Meanwhile, we included the corrections to the article in corrigendum [3]. We rechecked our manuscript about the two different “tissues” carefully. To overcome this issue, we applied pathway filter analyses instead of using miRNA-mRNA regulatory pairs directly. In our paper, KEGG pathway enrichment analyses were performed for predicted targets of miRNA and mRNA, respectively. en, pathways enriched for dif- ferentially expressed mRNAs were used to filter predicted targets to identify dysfunctional pathways in myasthenia gravis (MG). Interestingly, significant crosstalk was detected between five of these pathways based on a cumulative hyper- geometric distribution. Furthermore, we detected some key genes mediated crosstalk between dysfunctional pathways, and these genes were regulated by MG-related miRNAs. Besides, we also reviewed more literatures and found the expression pattern of some genes was consistent in both peripheral blood and thymic tissues in MG patients, such as CXCL13 [4, 5], CXCR5 [4], CXCR3 [6], ESR1 [7], IL-6, and RANTES [8]. e current management of MG includes acetylcholin- esterase inhibitors, immunomodulatory agents, and thymec- tomy. Plasma exchange or intravenous immunoglobulins (IVIg) are used for myasthenic crisis [9]. ere are none that specifically target the autoimmune deficiency in MG [10]. e category of MG patients is complex. Myasthenia gravis could be classified according to the antibody specificity [acetylcholine receptor (AChR), muscle-specific receptor tyrosine kinase (MuSK), low-density lipoprotein receptor- related protein 4 (LRP4), and seronegative], age at onset (in children; aged less than or more than 50 years), type of course (ocular or generalized), and thymus histology (thymitis, thymoma, and atrophy) [9]. erefore, we do not consider anti-AChR-positive and anti-AChR-negative patients specif- ically. e dysregulation of miRNAs has been described in a variety of autoimmune diseases. However, studies addressing miRNAs in MG are limited. Our research relies on pathway enrichment, pathway crosstalk, functional enrichment, and local areas of pathways (LAPs) analyses to elucidate miRNA- gene interactions in the context of pathways relevant to MG. Our results would be more reliable and informative in designating the direction for further miRNA and genes Hindawi BioMed Research International Volume 2017, Article ID 5359434, 2 pages https://doi.org/10.1155/2017/5359434

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  • Letter to the EditorResponse to: Comment on (Detecting Key GenesRegulated by miRNAs in Dysfunctional Crosstalk Pathway ofMyasthenia Gravis)

    Yuze Cao,1,2 JianjianWang,1 Huixue Zhang,1 Qinghua Tian,1 Lixia Chen,1

    Shangwei Ning,3 Peifang Liu,1 Xuesong Sun,1 Xiaoyu Lu,1 Chang Song,1 Shuai Zhang,1

    Bo Xiao,2 and LihuaWang1

    1Department of Neurology, The Second Affiliated Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China2Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China3College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China

    Correspondence should be addressed to Lihua Wang; [email protected]

    Received 4 January 2017; Accepted 20 February 2017; Published 14 August 2017

    Academic Editor: Rituraj Purohit

    Copyright © 2017 Yuze Cao et al.This is an open access article distributed under the Creative CommonsAttribution License, whichpermits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

    We would like to thank the editor for providing valuablecomments.We also thankDr. Panse for the comments [1].Thecomments and contributions of Dr. Panse are very preciousand add value to the paper. We would like to reply to thecomments on our manuscript titled “Detecting Key GenesRegulated bymiRNAs in Dysfunctional Crosstalk Pathway ofMyasthenia Gravis” [2]. We have tried our best to reply to thecomments by providing our opinions below. Meanwhile, weincluded the corrections to the article in corrigendum [3].

    We rechecked our manuscript about the two different“tissues” carefully. To overcome this issue, we applied pathwayfilter analyses instead of using miRNA-mRNA regulatorypairs directly. In our paper, KEGG pathway enrichmentanalyses were performed for predicted targets of miRNAand mRNA, respectively. Then, pathways enriched for dif-ferentially expressed mRNAs were used to filter predictedtargets to identify dysfunctional pathways in myastheniagravis (MG). Interestingly, significant crosstalk was detectedbetween five of these pathways based on a cumulative hyper-geometric distribution. Furthermore, we detected some keygenes mediated crosstalk between dysfunctional pathways,and these genes were regulated by MG-related miRNAs.Besides, we also reviewed more literatures and found theexpression pattern of some genes was consistent in bothperipheral blood and thymic tissues in MG patients, such as

    CXCL13 [4, 5], CXCR5 [4], CXCR3 [6], ESR1 [7], IL-6, andRANTES [8].

    The current management of MG includes acetylcholin-esterase inhibitors, immunomodulatory agents, and thymec-tomy. Plasma exchange or intravenous immunoglobulins(IVIg) are used for myasthenic crisis [9]. There are nonethat specifically target the autoimmune deficiency in MG[10]. The category of MG patients is complex. Myastheniagravis could be classified according to the antibody specificity[acetylcholine receptor (AChR), muscle-specific receptortyrosine kinase (MuSK), low-density lipoprotein receptor-related protein 4 (LRP4), and seronegative], age at onset (inchildren; aged less than ormore than 50 years), type of course(ocular or generalized), and thymus histology (thymitis,thymoma, and atrophy) [9]. Therefore, we do not consideranti-AChR-positive and anti-AChR-negative patients specif-ically. The dysregulation of miRNAs has been described in avariety of autoimmune diseases. However, studies addressingmiRNAs in MG are limited. Our research relies on pathwayenrichment, pathway crosstalk, functional enrichment, andlocal areas of pathways (LAPs) analyses to elucidate miRNA-gene interactions in the context of pathways relevant toMG. Our results would be more reliable and informativein designating the direction for further miRNA and genes

    HindawiBioMed Research InternationalVolume 2017, Article ID 5359434, 2 pageshttps://doi.org/10.1155/2017/5359434

    https://doi.org/10.1155/2017/5359434

  • 2 BioMed Research International

    study in MG and offer new potential targets for therapeuticintervention.

    Once again, we thank the editor for editorial effortsregarding our paper and giving us an opportunity to clarifythe issues. We also thank Dr. Panse for the helpful commentson our work; this may provide great help to our futureresearch.

    Competing Interests

    The authors declare that there is no conflict of interestsregarding the publication of this paper.

    References

    [1] R. Le Panse, “Comment on ‘detecting key genes regulatedby miRNAs in dysfunctional crosstalk pathway of myastheniagravis’,” BioMed Research International, vol. 2017, Article ID6950308, 1 page, 2017.

    [2] Y. Cao, J. Wang, H. Zhang et al., “Detecting key genes regulatedby miRNAs in dysfunctional crosstalk pathway of myastheniagravis,” BioMed Research International, vol. 2015, Article ID724715, 10 pages, 2015.

    [3] Y. Cao, J.Wang, H. Zhang et al., “Corrigendum to ‘detecting keygenes regulated by miRNAs in dysfunctional crosstalk pathwayof myasthenia gravis’,” BioMed Research International, vol. 2017,Article ID 9281250, 1 page, 2017.

    [4] Y.-M. Shiao, C.-C. Lee, Y.-H. Hsu et al., “Ectopic and highCXCL13 chemokine expression in myasthenia gravis withthymic lymphoid hyperplasia,” Journal of Neuroimmunology,vol. 221, no. 1-2, pp. 101–106, 2010.

    [5] M. Zhang, J. Guo, H. Li et al., “Expression of immunemoleculesCD25 and CXCL13 correlated with clinical severity of myasthe-nia gravis,” Journal of Molecular Neuroscience, vol. 50, no. 2, pp.317–323, 2013.

    [6] T. Feferman, P. K.Maiti, S. Berrih-Aknin et al., “Overexpressionof IFN-induced protein 10 and its receptor CXCR3 in myasthe-nia gravis,” Journal of Immunology, vol. 174, no. 9, pp. 5324–5331,2005.

    [7] P. Nancy and S. Berrih-Aknin, “Differential estrogen receptorexpression in autoimmune myasthenia gravis,” Endocrinology,vol. 146, no. 5, pp. 2345–2353, 2005.

    [8] M. Colombara, V. Antonini, A. P. Riviera et al., “Constitutiveactivation of p38 and ERK1/2 MAPKs in epithelial cells ofmyasthenic thymus leads to IL-6 and RANTES overexpression:effects on survival and migration of peripheral T and B cells,”Journal of Immunology, vol. 175, no. 10, pp. 7021–7028, 2005.

    [9] J. P. Sieb, “Myasthenia gravis: an update for the clinician,”Clinical and Experimental Immunology, vol. 175, no. 3, pp. 408–418, 2014.

    [10] B. M. Conti-Fine, M. Milani, and H. J. Kaminski, “Myastheniagravis: past, present, and future,” Journal of Clinical Investiga-tion, vol. 116, no. 11, pp. 2843–2854, 2006.

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