Integrated analyses of miRNA and mRNA profiles in leukocytes and serums in traditional Chinese medicine (TCM)-defined Pi-qi-deficiency syndrome and Pi-wei damp-heat syndrome resulting from chronic atrophic gastritis

Leiming You, Shen Zhang, Ting'an Li, Xiaopu Sang, Kunyu Li, Wei Wang, Xinhui Gao, Jiarui Wu, Guangrui Huang, Ting Wang, Anlong Xu, Leiming You, Shen Zhang, Ting'an Li, Xiaopu Sang, Kunyu Li, Wei Wang, Xinhui Gao, Jiarui Wu, Guangrui Huang, Ting Wang, Anlong Xu

Abstract

Background: To investigate the microRNA (miRNA)-gene interactions underlying leukocyte functions and characteristics, especially the potential serum biomarkers, implicated in the traditional Chinese medicine (TCM)-defined Pi-qi-deficiency syndrome (PQDS) and Pi-wei damp-heat syndrome (PDHS) resulting from chronic atrophic gastritis (CAG).

Methods: Using RNA/miRNA-sequencing approach, compared with healthy control population, we identified the PDHS- or PQDS-specific miRNAs and genes in leukocytes or serums, especially the Zheng (syndrome)-specific miRNA-gene interactions, and further decoded their functions and pathways.

Results: Despite being the TCM-defined Zhengs resulting from the same disease of CAG, the Zheng-specific genes and miRNAs were not same. The PDHS-specific leukocyte genes were mainly involved in defense and immune responses, including NOD-like receptor signaling and several synapses-related pathways. The expression upregulation of PDHS-specific genes enriched in the neutrophil degranulation pathway, indicated the enhanced leukocyte degranulation activation. The PQDS-specific genes in leukocytes were implicated in inflammatory response, extracellular matrix (ECM) organization and collagen catabolism. They could be enriched in MAPK and IL17 signaling and helper T cell differentiation pathways, especially the pathways associated with cell-to-cell adhesion/junction and communication such as cell adhesion molecules, ECM organization and ECM-receptor interaction, probably contributing to the characteristics and functions of leukocytes. Also, the experimentally-supported miRNA-gene interactions, concerned with COL4A2, COL26A1, SPP1 and PROCR, were implicated in the regulation of pathways related to cell-to-cell adhesion/junction and communication, suggesting the potential roles of the PQDS-specific miRNA-gene interactions for the characteristic and functional changes of leukocytes. Interestingly, the PQDS-specific miRNAs in the serums and the corresponding leukocytes, seemed to have the common roles in contributing to the characteristics and functions of leukocytes. Importantly, the hsa-miR-122-5p could be a potential biomarker, capable of being contained and carried in plasma exosomes and much higher expression in both the leukocytes and corresponding serums in the CAG patients with PQDS rather than PDHS.

Conclusions: These results may provide new insights into the characteristic and functional changes of leukocytes in the two Zhengs, PDHS and PQDS, especially the miRNA-mediated gene regulation underlying leukocyte characteristics and functions, with potential leukocyte and serum biomarkers for future application in integrative medicine. Trial registration ClinicalTrials.gov, NCT02915393. Registered on September 17, 2016.

Keywords: Chronic atrophic gastritis; Leukocyte; Pi-qi-deficiency syndrome; Pi-wei damp-heat syndrome; Serum; miRNA biomarker.

Conflict of interest statement

The authors declare no conflict of interests regarding the publication of this paper.

Figures

Fig. 1
Fig. 1
Expression pattern clustering analyses of the differential genes and miRNAs identified in the PDHS and PQDS populations. a Veen diagrams detailing the differential genes and miRNAs found in the leukocytes and serums. b hierarchical clustering (HCL) analyses of expression profiles of the differential miRNAs in leukocytes. c HCL analyses of expression profiles of the differential genes in leukocytes. d HCL analyses of expression profiles of the differential miRNAs in the serums. Control healthy individuals, PQDS chronic atrophic gastritis patients with Pi-qi-deficiency syndrome, PDHS chronic atrophic gastritis patients with Pi-wei damp-heat syndrome
Fig. 2
Fig. 2
Gene ontology (GO) function enrichment analyses of the Zheng-specific genes and the targets of the Zheng-specific miRNAs discovered in the different case populations. a Bubble diagrams showing the enriched GO function terms of PDHS-specific genes (left) and PQDS-specific genes (right) in leukocytes. b Heatmaps indicating the GO function enrichment results of the validated targets of PDHS-specific miRNAs (left) and PQDS-specific miRNAs (right) in leukocytes. The common GO terms between the two Zhengs were shown in bold font. c Heatmaps displaying the enriched GO function terms of the validated targets of PDHS-specific miRNAs (left) and PQDS-specific miRNAs (right) in serums. The common GO terms between the two Zhengs were shown in bold font. The pink highlighted GO terms indicate the commonly enriched GO terms of the validated targets of the PDHS-miRNAs in the leukocytes and corresponding serums. The indigo highlighted GO terms mark the commonly enriched GO terms of the validated targets of the PQDS-miRNAs in the leukocytes and corresponding serums. PQDS chronic atrophic gastritis patients with Pi-qi-deficiency syndrome, PDHS chronic atrophic gastritis patients with Pi-wei damp-heat syndrome
Fig. 3
Fig. 3
Pathway enrichment analyses of the Zheng-specific genes and the targets of the Zheng-specific miRNAs identified in the different case populations. a Bubble diagrams showing the enriched KEGG pathways of PDHS-specific genes (left) and PQDS-specific genes (right) in leukocytes. b Heatmaps indicating the KEGG pathway enrichment results of the validated targets of PDHS-specific miRNAs (left) and PQDS-specific miRNAs (right) in leukocytes. The common pathway terms were specially shown in bold font. c Heatmaps displaying the enriched KEGG pathways of the validated targets of PDHS-specific miRNAs (left) and PQDS-specific miRNAs (right) in serums. The common pathway terms were specially shown in bold font. The pink highlighted pathway terms indicate the commonly enriched pathways of the validated targets of the PDHS-miRNAs in leukocytes and serums. The indigo highlighted pathway terms mark the commonly enriched pathways of the validated targets of the PQDS-miRNAs in leukocytes and serums. PQDS chronic atrophic gastritis patients with Pi-qi-deficiency syndrome, PDHS chronic atrophic gastritis patients with Pi-wei damp-heat syndrome
Fig. 4
Fig. 4
Interaction network analyses of the PDHS-specific and PQDS-specific genes in leukocytes. a The network detailing the interactions of PDHS-specific genes. b The network generated to show interactions of PQDS-specific genes. The number marked in a node indicates the count of the PQDS-specific or PDHS-specific miRNAs which were validated targeting to the corresponding node gene. The node genes-enriched pathways were specially marked in the interaction networks. PQDS chronic atrophic gastritis patients with Pi-qi-deficiency syndrome, PDHS chronic atrophic gastritis patients with Pi-wei damp-heat syndrome
Fig. 5
Fig. 5
Function and pathway analyses for the experimentally supported miRNA-gene interactions in the leukocytes from the PQDS and PDHS populations. a The network detailing the PQDS-specific and PDHS-specific miRNA-gene interactions in leukocytes. The target genes having similar functions were specially marked and grouped together. The expression levels of miRNAs and genes were visually presented in the form of colorful nodes showing the color change (green to red) in brightness and chromaticity. b The relationship network of the enriched pathways of genes belonging to the PQDS-specific miRNA-gene interaction pairs. The edge between two nodes indicate there are several common genes implicated in the nodes-labeled pathways, thus the edge thickness depends on the number of the existed common genes. The blue arrows denoted the immune pathways containing the validated targets of the has-miR-122-5p. c Clustering analyses of the expression profiles of the miRNAs belonging to the experimentally supported miRNA-gene interaction pairs in different populations. Two heatmaps were generated to profile the miRNAs expression in the leukocytes and serums of individuals from different populations. Especially, if there are additional experimental evidences supporting that a listed miRNA can be contained and carried in the plasma exosomes, it was thus specially marked with an orange circle. Control healthy individuals, PQDS chronic atrophic gastritis patients with Pi-qi-deficiency syndrome, PDHS chronic atrophic gastritis patients with Pi-wei damp-heat syndrome
Fig. 6
Fig. 6
Function and pathway analyses of the validated targets of the exosome-carried hsa-miR-122-5p. a Boxplot graphs of expression levels of hsa-miR-122-5p in the leukocytes and serums from different populations. b Overview of the interaction network of targets of hsa-miR-122-5p. The invalidated targets of has-miR-122-5p were retrieved from the released “TarBase” collecting the experimentally supported miRNA-gene interactions, both in vivo and in vitro. Especially, the orange nodes show the validated targets that are also found in the PQDS-specific genes identified in the leukocytes, including JAG2, SH3RF1, MYOF, PCSK6 and COL4A2. c The relationship network of the enriched pathways of targets of hsa-miR-122-5p. A node labeled with a pathway term, indicates an enriched pathway of targets, and the node size depends on the number of edges linking the node. The edge between two nodes denotes that there exist several common genes involved in the two nodes-labeled pathways, so the edge thickness relies on the number of the existed common genes. d The bubble diagram generated to show the enriched pathways of the validated targets of hsa-miR-122-5p. TPM transcripts per million reads, Control healthy individuals, PQDS chronic atrophic gastritis patients with Pi-qi-deficiency syndrome, PDHS chronic atrophic gastritis patients with Pi-wei damp-heat syndrome

References

    1. Buchan JR, Parker R. Molecular biology. The two faces of miRNA. Science (New York, NY). 2007;318(5858):1877–1878.
    1. Cao ZJ, Zuo MH. Study on relationship between traditional Chinese medicine syndrome distribution, gastroscopy and pathology in chronic atrophic gastritis. World Chin Med. 2018;13(8):2040–2043.
    1. Chen K, Rajewsky N. The evolution of gene regulation by transcription factors and microRNAs. Nat Rev Genet. 2007;8(2):93–103.
    1. Cheng F, Wang X, Song W, Lu Y, Li X, Zhang H, et al. Biologic basis of TCM syndromes and the standardization of syndrome classification. J Trad Chin Med Sci. 2014;1(2):92–97.
    1. Cheung F. TCM: Made in China. Nature. 2011;480(7378):S82–S83.
    1. Chou CH, Chang NW, Shrestha S, Hsu SD, Lin YL, Lee WH, et al. miRTarBase 2016: updates to the experimentally validated miRNA-target interactions database. Nucleic Acids Res. 2016;44(D1):D239–247.
    1. de Hoon MJ, Imoto S, Nolan J, Miyano S. Open source clustering software. Bioinformatics (Oxford, England) 2004;20(9):1453–1454.
    1. Fang JY, Liu WZ, Li ZK, Du YQ, Ji XL, Ge ZZ, et al. China Chronic Gastritis Consensus (2012, Shanghai) Chin J Front Med Sci. 2013;5(7):44–55.
    1. Hasin Y, Seldin M, Lusis A. Multi-omics approaches to disease. Genome Biol. 2017;18(1):83.
    1. Hu L, Zheng XF, Yan XH. Expressions of HSP 70 and NF-kappaB in the peripheral blood lymphocyte of chronic gastritis patients of different syndrome patterns. Chin J Integr Trad West Med. 2012;32(9):1188–1191.
    1. da Huang W, Sherman BT, Lempicki RA. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res. 2009;37(1):1–13.
    1. Huang X, Yuan T, Tschannen M, Sun Z, Jacob H, Du M, et al. Characterization of human plasma-derived exosomal RNAs by deep sequencing. BMC genomics. 2013;14:319.
    1. Liang JK, Hu L, Zheng XF. Study of Th1/Th2 balance in peripheral blood of chronic gastritis patients with Pi-Wei damp-heat syndrome. Chin J Integr Trad West Med. 2012;32(3):322–324.
    1. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15(12):550.
    1. Metwaly A, Haller D. Multi-omics in IBD biomarker discovery: the missing links. Nat Rev Gastroenterol Hepatol. 2019.
    1. Paraskevopoulou MD, Vlachos IS, Hatzigeorgiou AG. DIANA-TarBase and DIANA Suite Tools: Studying Experimentally Supported microRNA Targets. Curr Prot Bioinform. 2016;55:12.
    1. Rashad NM, El-Shal AS, Shalaby SM, Mohamed SY. Serum miRNA-27a and miRNA-18b as potential predictive biomarkers of hepatitis C virus-associated hepatocellular carcinoma. Mol Cell Biochem. 2018;447(1–2):125–136.
    1. Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, et al. Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498–2504.
    1. Szklarczyk D, Gable AL, Lyon D, Junge A, Wyder S, Huerta-Cepas J, et al. STRING v11: Protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 2019;47(D1):D607–D613.
    1. Tang XD, Lu B, Zhou LY, Zhan SY, Li ZH, Li BS, et al. Clinical practice guideline of Chinese medicine for chronic gastritis. Chin J Integr Med. 2012;18(1):56–71.
    1. Vlachos IS, Hatzigeorgiou AG. Functional Analysis of miRNAs Using the DIANA Tools Online Suite. Methods Mol Biol. 2017;1517:25–50.
    1. Vlachos IS, Paraskevopoulou MD, Karagkouni D, Georgakilas G, Vergoulis T, Kanellos I, et al. DIANA-TarBase v7.0: indexing more than half a million experimentally supported miRNA:mRNA interactions. Nucleic Acids Res. 2015;43(Database issue):D153–159.
    1. Wang T, Dong J. What is “zheng” in traditional Chinese medicine? J Trad Chin Med Sci. 2017;4(1):14–15.
    1. Wang Y, Xu A. Zheng: A systems biology approach to diagnosis and treatments. Science (New York, NY) 2014;346(6216):S13–S15.
    1. Xie C, Mao X, Huang J, Ding Y, Wu J, Dong S, et al. KOBAS 20: a web server for annotation and identification of enriched pathways and diseases. Nucleic Acids Res. 2011;39(Web Server issue):W316–322.
    1. Zhang SS, Tang XD, Huang HP, Bian LQ. Expert consensus on diagnosis and treatment of Traditional Chinese Medicine for chronic gastritis (2017) China J Trad Chin Med Pharm. 2017;32(07):3060–3064.
    1. Zhang Y, Wen X, Hu XL, Cheng LZ, Yu JY, Wei ZB. Downregulation of miR-145-5p correlates with poor prognosis in gastric cancer. Eur Rev Med Pharm Sci. 2016;20(14):3026–3030.
    1. Zheng B, Jeong SS, Zhu YJ, Chen L, Xia Q. miRNA and lncRNA as biomarkers in cholangiocarcinoma(CCA) Oncotarget. 2017;8(59):100819–100830.
    1. Zheng XY. Guiding principle for clinical research on new drugs of traditional Chinese medicine. Beijing: China Medical Science Press; 2002.

Source: PubMed

3
S'abonner