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RNA-seq analysis of ischemia stroke and normal brain in a tree shrew model with or without type 2 diabetes mellitus

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Abstract

Nowadays, similar strategies have been used for the treatment and prevention of acute stroke in both diabetes mellitus (DM) and non-DM populations. These strategies were analyzed to provide an experimental basis for the clinical prevention and treatment of stroke in patients both with and without DM. Tree shrews were randomly divided into control, DM, ischemic stroke (IS), and DMIS groups with 18 animals in each group. Serum biochemical indicators were used to assess metabolic status. Neural tissue damage was determined using triphenyl tetrazolium chloride staining, H-E staining, and electron microscopy. Differential gene expression of neural tissue between the DM and control groups and the IS and DMIS groups was measured using RNA-seq analysis. The serum glucose levels of the DM and DMIS groups were significantly higher than other groups. In the DMIS group, the infarct size was significantly larger than in the IS group (19.56 ± 1.25%), with a more obvious abnormal ultrastructure of neural cells. RNA-seq analysis showed that the expression of IL-8, C–C motif chemokine 2 (CCL2), and alpha-1-antichymotrypsin was significantly higher in the DM group than in the control group. The CCL7, ATP-binding cassette sub-family A member 12, and adhesion G protein-coupled receptor E2 levels were significantly higher in the DMIS group than in the IS group. For the prevention and treatment of stroke in patients with DM, reducing the inflammatory state of the nervous system may reduce the incidence of stroke and improve the prognosis of neurological function after IS.

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Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

Thank Professor Jiejie Dai’s laboratory. Thank Yuanyuan Han for providing suggestions and instructions in the process of modelling. Thank Ying Tang for helping us review pathology materials.

Funding

This work was supported by grants from National Science Fund subsidized project (Grant No. 81760327), Yunnan Province Young and Middle-aged Academic and Technical Leaders Reserve Talents Training Project (Grant No. 2017HB049), Yunnan high-level health and family planning technical personnel training project (Grant No. H-2017043), Yunnan Provincial Department of Science and Technology—Kunming Medical Joint Project (Grant No. 2018FE001(-228)), Kunming Medical University Second Affiliated Hospital Talent Training Program (Grant No. RCPYXM2017-3–16), Research Institutions Program in Yunnan medical and health units (Grant No. 2018NS0293). Kunming Medical University Education Research and Reform Program (Grant No. 2020-JY-Y-085). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Author notes

  1. Ling Zhao and Shiying Huang are first authors and they contributed to this manuscript equally.

Authors and Affiliations

  1. Department of Endocrinology, The Second Affiliated Hospital of Kunming Medical University, Kunming, 650101, Yunnan, China

    Ling Zhao & Tingyu Ke

  2. Department of Endocrinology, The First Affiliated Hospital of Kunming Medical University, Kunming, 650101, Yunnan, China

    Shiying Huang

  3. Department of Cardiology, The Yan-an Affiliated Hospital of Kunming Medical University, Kunming, 650051, Yunnan, China

    Qiwei Liao

  4. Department of Pathophysiology, Kunming Medical University, Kunming, 650050, Yunnan, China

    Xia Li & Shuqing Li

  5. Department of Gynecologic Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, 650101, Yunnan, China

    Shufen Tan

Authors
  1. Ling Zhao
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Contributions

Ling Zhao and Tingyu Ke: study concept and design, analysis and interpretation of data, drafting of the manuscript, funding acquisition. Ling Zhao, Shiying Huang, and Qiwei Liao: the acquisition of samples or data, statistical analysis, review of the manuscript. Ling Zhao, Xia Li, Shufen Tan, and Shuqing Li: statistical analysis, review of the manuscript, material supports.

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Correspondence to Shuqing Li or Tingyu Ke.

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Zhao, L., Huang, S., Liao, Q. et al. RNA-seq analysis of ischemia stroke and normal brain in a tree shrew model with or without type 2 diabetes mellitus. Metab Brain Dis 36, 1889–1901 (2021). https://doi.org/10.1007/s11011-021-00813-5

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  • DOI: https://doi.org/10.1007/s11011-021-00813-5

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