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Long non‑coding RNAs MALAT1, NEAT1 and DSCR4 can be serum biomarkers in predicting urosepsis occurrence and reflect disease severity

  • Authors:
    • Jianliang Shen
    • Liangming Pan
    • Wei Chen
    • Yechen Wu
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    Affiliations: Department of Urology, Tinglin Hospital of Jinshan District, Shanghai 201505, P.R. China, Community Health Service Center of Fengjing Town, Shanghai 201501, P.R. China, Department of Urology, Baoshan Branch, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 201900, P.R. China
    Copyright: © Shen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 289
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    Published online on: May 21, 2024
       https://doi.org/10.3892/etm.2024.12578
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Abstract

Sepsis commonly occurs in patients with serious infections. It severely threatens the health of patients and has very high mortality rates. Urosepsis is a type of sepsis in which the serious infection originates from the urinary system. Early diagnosis of the occurrence and severity of urogenital sepsis is crucial for improving patient prognosis. Long noncoding RNAs (LncRNAs) play important roles in the occurrence of a number of diseases, including sepsis, and can be potential biomarkers that predict disease development. The present study aimed to discover potential LncRNAs that can predict the occurrence of urosepsis. RNA‑sequence data from patients with sepsis from the GEO database was analyzed and LncRNAs associated with sepsis were identified. The expression of LncRNAs associated with sepsis was tested in clinical urosepsis samples. Finally, the value of these LncRNAs in predicting urosepsis was verified using clinical samples. From the GEO database a total of nine LncRNAs (MALAT1, NEAT1, RMRP, LncIRX5, LINC01742, DSCR4, C22ORF34, LINC00381, and LINC01102) were identified that had expression changes corresponding with the occurrence of sepsis. Specifically, MALAT1, NEAT1 and DSCR4 revealed differential expression in patients with urosepsis. Moreover, MALAT1, and DSCR4 were shown to be significant risk indicators for urosepsis, and NEAT1 was shown to reflect disease severity. Therefore, the present study indicated that the LncRNAs, MALAT1, NEAT1 and DSCR4 can reflect the occurrence and severity of urosepsis and may act as potential biomarkers.
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Spandidos Publications style
Shen J, Pan L, Chen W and Wu Y: Long non‑coding RNAs MALAT1, NEAT1 and DSCR4 can be serum biomarkers in predicting urosepsis occurrence and reflect disease severity. Exp Ther Med 28: 289, 2024.
APA
Shen, J., Pan, L., Chen, W., & Wu, Y. (2024). Long non‑coding RNAs MALAT1, NEAT1 and DSCR4 can be serum biomarkers in predicting urosepsis occurrence and reflect disease severity. Experimental and Therapeutic Medicine, 28, 289. https://doi.org/10.3892/etm.2024.12578
MLA
Shen, J., Pan, L., Chen, W., Wu, Y."Long non‑coding RNAs MALAT1, NEAT1 and DSCR4 can be serum biomarkers in predicting urosepsis occurrence and reflect disease severity". Experimental and Therapeutic Medicine 28.1 (2024): 289.
Chicago
Shen, J., Pan, L., Chen, W., Wu, Y."Long non‑coding RNAs MALAT1, NEAT1 and DSCR4 can be serum biomarkers in predicting urosepsis occurrence and reflect disease severity". Experimental and Therapeutic Medicine 28, no. 1 (2024): 289. https://doi.org/10.3892/etm.2024.12578
Copy and paste a formatted citation
x
Spandidos Publications style
Shen J, Pan L, Chen W and Wu Y: Long non‑coding RNAs MALAT1, NEAT1 and DSCR4 can be serum biomarkers in predicting urosepsis occurrence and reflect disease severity. Exp Ther Med 28: 289, 2024.
APA
Shen, J., Pan, L., Chen, W., & Wu, Y. (2024). Long non‑coding RNAs MALAT1, NEAT1 and DSCR4 can be serum biomarkers in predicting urosepsis occurrence and reflect disease severity. Experimental and Therapeutic Medicine, 28, 289. https://doi.org/10.3892/etm.2024.12578
MLA
Shen, J., Pan, L., Chen, W., Wu, Y."Long non‑coding RNAs MALAT1, NEAT1 and DSCR4 can be serum biomarkers in predicting urosepsis occurrence and reflect disease severity". Experimental and Therapeutic Medicine 28.1 (2024): 289.
Chicago
Shen, J., Pan, L., Chen, W., Wu, Y."Long non‑coding RNAs MALAT1, NEAT1 and DSCR4 can be serum biomarkers in predicting urosepsis occurrence and reflect disease severity". Experimental and Therapeutic Medicine 28, no. 1 (2024): 289. https://doi.org/10.3892/etm.2024.12578
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