ORIGINAL ARTICLES

Transcriptome analysis of brain tissue in rat infected with Angiostrongylus cantonensis

  • CHENG Donghui ,
  • JIANG Tiange ,
  • JING Yidan ,
  • YANG Limin ,
  • GUO Yunhai ,
  • FANG Yuan ,
  • LI Zhongqiu ,
  • ZHANG Yi
Expand
  • 1 National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; Key Laboratory on Parasite and Vector Biology, Ministry of Health; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
    2 School of Global Health, National Center for Tropical Disease Research, Shanghai Jiao Tong University, Shanghai 200025, China

Received date: 2024-01-05

  Revised date: 2024-01-26

  Online published: 2024-05-07

Supported by

National Key Research and Development Program of China(2021YFC2300800);National Key Research and Development Program of China(2021YFC2300802)

Abstract

Objective To understand the expression levels in brain tissue transcriptome of rat infected with Angiostrongylus cantonensis. Methods Thirty-two SD rats were randomly divided into control group (12 rats) and infected group (20 rats). The rats in the infected group were infected with 40 A. cantonensis stage Ⅲ larvae by gavage and in the control group with the same volume of saline. 8 rats (3 of the control group and 5 of the infected group) were randomly dissected to collect brain tissues, of which paraffin sections were prepared and stained with hematoxylin-eosin (HE) to observe the pathological changes 1, 7, 14 and 21 days after infection. Brain tissue RNA was extracted 14 days after infection for detection of differentially expressed mRNA and lncRNA by using RNA sequencing technique. Gene ontology (GO) enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) metabolic pathway analysis of differentially expressed mRNA were performed. The STRING database was used to predict protein-protein interaction (PPI) between differentially expressed mRNA target proteins. Bioinformatics was utilized to construct the competitive endogenous RNA (ceRNA) regulatory network of differentially expressed genes. The differential expression of lncRNA was verified by qPCR. Results HE staining showed that pathological changes appeared in the rat brains of the infected group 14 days after infection with A. cantonensis, with cytoplasmic consolidation in the hippocampal neurons and parasite-like tissues could be seen at the meninges 21 days after infection. RNA sequencing result showed that the number of differentially expressed mRNAs in the rat brains was 955 (890 up-regulated and 65 down-regulated) 14 days after infection; the number of differentially expressed lncRNA was 193 (122 up-regulated and 71 down-regulated). GO enrichment analysis showed that differentially expressed mRNAs were mainly enriched in biological processes such as inflammatory response and immune response, the cellular components were mainly the extracellular space outside of the plasma membrane and the cell surface, and the molecular functions were mainly the chemokine activity and chemokine receptor binding. KEGG metabolic pathway analysis showed that the differentially expressed mRNAs were mainly involved in signaling pathways such as cytokine-cytokine receptor interactions and chemokines. PPI analysis showed that the main targets were chemokine ligand 11, RT1-Da, and serine family E member 1, all of which were associated with immune responses. ceRNA results showed that significantly enriched miRNAs such as mir-466b-3p, mir-1956, mir-207 and mir-328a-5p were associated with immune responses, apoptosis, angiogenesis and other processes. qPCR results showed that the H19 relative transcription level of rats in the infected group increased gradually, reaching a peak (15.074 ± 3.366) 21 days after infection, which was higher than rats in the control group (1.000 ± 0.113) (t = 13.190, P < 0.05). The relative transcript levels of RT1-CE6, LOC100910973 and lncR-ncf1 peaked 14 days after infection at 9.702 ± 1.408, 6.683 ± 1.299, and 7.733 ± 0.717, respectively, which were higher than rats in the control group (1.003 ± 0.039, 1.001 ± 0.156 and 0.999 ± 0.076) (t = 20.760, 13.830, 28.810, all P < 0.01). The AABR07030796.1 relative transcript level began to increase 14 days and peaked at 21 days after infection at 4.485 ± 0.236 and 5.068 ± 1.608, respectively, which were higher than rats in the control group (1.000 ± 0.159 and 1.001 ± 0.256) (t = 7.049, 8.229, both P < 0.01). The qPCR results and RNA sequencing results of H19, RT1-CE6, LOC100910973, lncR-ncf1 and AABR07030796.1 showed up-regulation in the rat brains of the infected group 14 days after infection with A. cantonensis with a consistent expression trend. Conclusion Total of 955 differentially expressed mRNA and 193 differentially expressed lncRNA were detected in the brain tissue of rats infected with A. cantonensis, which were mainly enriched in the inflammatory response, immune response and other biological processes.

Cite this article

CHENG Donghui , JIANG Tiange , JING Yidan , YANG Limin , GUO Yunhai , FANG Yuan , LI Zhongqiu , ZHANG Yi . Transcriptome analysis of brain tissue in rat infected with Angiostrongylus cantonensis[J]. CHINESE JOURNAL OF PARASITOLOGY AND PARASITIC DISEASES, 2024 , 42(2) : 217 -224 . DOI: 10.12140/j.issn.1000-7423.2024.02.013

References

[1] Liu RR, Huang D, Pan FF. A childhood eosinophilic meningitis case caused by Angiostrongylus cantonensis and review of literature[J]. Acta Parasitol Med Entomol Sin, 2023, 30(3): 175-179. (in Chinese)
  (刘蕊蕊, 黄栋, 潘飞飞. 儿童广州管圆线虫致嗜酸性粒细胞性脑膜炎1例报告并文献复习[J]. 寄生虫与医学昆虫学报, 2023, 30(3): 175-179.)
[2] Yan L, Li Y, Yang SR, et al. Prevalence of Angiostrongylus cantonensis infection in snails in some southern of China[J]. Chin J Zoonoses, 2019, 35(11): 1063-1067. (in Chinese)
  (闫琳, 李莹, 杨舒然, 等. 我国南方部分地区螺类感染广州管圆线虫的调查分析[J]. 中国人兽共患病学报, 2019, 35(11): 1063-1067.)
[3] Pan CW, Liang SH, Ling HB, et al. Experimental observation on the distribution of Angiostrongylus cantonensis in mice and histophathology of infected mice[J]. Chin J Parasit Dis Control, 2000, 13(1): 31-33. (in Chinese)
  (潘长旺, 梁韶晖, 凌洪博, 等. 广州管圆线虫感染小鼠后在其体内分布及小鼠组织病理学实验观察[J]. 中国寄生虫病防治杂志, 2000, 13(1): 31-33.)
[4] Li ST, Yang F, Ji PY, et al. Eosinophil chemotactic chemokine profilings of the brain from permissive and non-permissive hosts infected with Angiostrongylus cantonenis[J]. Parasitol Res, 2014, 113(2): 517-525.
[5] Cheng DH, Li ZQ, Zeng WB, et al. Progress of researches on the role and mechanisms of non-coding RNA in Angiostrongylus cantonensis infection[J]. Chin J Schisto Control, 2023, 35(4): 407-412. (in Chinese)
  (程东慧, 李中秋, 曾文博, 等. 非编码RNA在广州管圆线虫感染中作用和机制研究进展[J]. 中国血吸虫病防治杂志, 2023, 35(4): 407-412.)
[6] Lodde V, Floris M, Muroni MR, et al. Non-coding RNAs in malaria infection[J]. Wiley Interdiscip Rev RNA, 2022, 13(3): e1697.
[7] Gupta AK, Das S, Kamran M, et al. The pathogenicity and virulence of Leishmania: interplay of virulence factors with host defenses[J]. Virulence, 2022, 13(1): 903-935.
[8] Kataria P, Surela N, Chaudhary A, et al. miRNA: biological regulator in host-parasite interaction during malaria infection[J]. Int J Environ Res Public Health, 2022, 19(4): 2395.
[9] Menard KL, Haskins BE, Denkers EY. Impact of Toxoplasma gondii infection on host non-coding RNA responses[J]. Front Cell Infect Microbiol, 2019, 9: 132.
[10] Weng MX, Ma CG, Cao Q, et al. Selection and optimization of quality control organization for HE staining[J]. Chin J Clin Exp Pathol, 2023, 39(3): 378-379. (in Chinese)
  (翁密霞, 马程功, 曹沁, 等. HE染色质控组织的选取及优化[J]. 临床与实验病理学杂志, 2023, 39(3): 378-379.)
[11] Chen SF, Zhou YQ, Chen YR, et al. Fastp: an ultra-fast all-in-one FASTQ preprocessor[J]. Bioinformatics, 2018, 34(17): i884-i890.
[12] Kim D, Langmead B, Salzberg SL. HISAT: a fast spliced aligner with low memory requirements[J]. Nat Methods, 2015, 12(4): 357-360.
[13] Anders S, Pyl PT, Huber W. HTSeq: a Python framework to work with high-throughput sequencing data[J]. Bioinformatics, 2015, 31(2): 166-169.
[14] Roberts A, Trapnell C, Donaghey J, et al. Improving RNA-Seq expression estimates by correcting for fragment bias[J]. Genome Biol, 2011, 12(3): R22.
[15] Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2[J]. Genome Biol, 2014, 15(12): 550.
[16] Liu RS. Study on the mechanism of luteolin and quercetin in the treatment of obesity based on network pharmacology and transcriptome sequencing[D]. Zhenjiang: Jiangsu University, 2022: 4-5. (in Chinese)
  (刘若双. 基于网络药理学和转录组测序探讨木犀草素及槲皮素治疗肥胖的作用机制研究[D]. 镇江: 江苏大学, 2022: 4-5.)
[17] Wang HY, Radomska HS, Phelps MA, et al. Replication study: coding-independent regulation of the tumor suppressor PTEN by competing endogenous mRNAs[J]. eLife, 2020, 9: e56651.
[18] OuYang LS, Wei J, Wu ZD, et al. Differences of larval development and pathological changes in permissive and nonpermissive rodent hosts for Angiostrongylus cantonensis infection[J]. Parasitol Res, 2012, 111(4): 1547-1557.
[19] Jhan KY, Chang PK, Cheng CJ, et al. Synaptic loss and progression in mice infected with Angiostrongylus cantonensis in the early stage[J]. J Neuroinflammation, 2022, 19(1): 85.
[20] Xiong HH, Zhou ZP, Wu ZD, et al. BALB/c mice infected with Angiostrongylus cantonensis: a new model for demyelination in the brain[J]. Anat Rec, 2021, 304(5): 1084-1093.
[21] Liu J, Xu YY, He XJ, et al. Study on the tolerance and adaptation of rats to Angiostrongylus cantonensis infection[J]. Parasitol Res, 2017, 116(7): 1937-1945.
[22] Mo ZX, Guo JQ, She D, et al. Infection by the nematode Angiostrongylus cantonensis induces differential expression of miRNAs in mouse brain[J]. J Microbiol Immunol Infect, 2018, 51(1): 94-102.
[23] Zhou XM, Zhang JM, Liu JM, et al. MicroRNA miR-155-5p knockdown attenuates Angiostrongylus cantonensis-induced eosinophilic meningitis by downregulating MMP9 and TSLP proteins[J]. Int J Parasitol, 2021, 51(1): 13-22.
[24] Capece D, Verzella D, Flati I, et al. NF-κB: blending metabolism, immunity, and inflammation[J]. Trends Immunol, 2022, 43(9): 757-775.
[25] Platnich JM, Muruve DA. NOD-like receptors and inflammasomes: a review of their canonical and non-canonical signaling pathways[J]. Arch Biochem Biophys, 2019, 670: 4-14.
[26] Tan YT, Lin JF, Li T, et al. LncRNA-mediated posttranslational modifications and reprogramming of energy metabolism in cancer[J]. Cancer Commun, 2021, 41(2): 109-120.
[27] Li H, Tang CL, Wang D. lncRNA H19 promotes inflammatory response induced by cerebral ischemia-reperfusion injury through regulating the miR-138-5p-p65 axis[J]. Biochem Cell Biol, 2020, 98(4): 525-536.
[28] Li YP, Li ZL, Nandakumar KS, et al. Human NCF190H variant promotes IL-23/IL-17-dependent mannan-induced psoriasis and psoriatic arthritis[J]. Antioxidants, 2023, 12(7): 1348.
[29] Hsu SM, Yang CH, Teng YT, et al. Suppression of the reactive oxygen response alleviates experimental autoimmune uveitis in mice[J]. Int J Mol Sci, 2020, 21(9): 3261.
[30] Li MY, Zhang WT, Zhang J, et al. Ncf1 governs immune niches in the lung to mediate pulmonary inflammation in mice[J]. Front Immunol, 2021, 12: 783944.
Outlines

/

〈 〉