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Metabolomic analysis based on 1H-nuclear magnetic resonance spectroscopy metabolic profiles in tuberculous, malignant and transudative pleural effusion

  • Authors:
    • Cheng Wang
    • Jingjin Peng
    • Yanling Kuang
    • Jiaqiang Zhang
    • Luming Dai
  • View Affiliations / Copyright

    Affiliations: The Second Department of Respiratory Medicine, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China
    Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 1147-1156
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    Published online on: June 12, 2017
       https://doi.org/10.3892/mmr.2017.6758
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Abstract

Pleural effusion is a common clinical manifestation with various causes. Current diagnostic and therapeutic methods have exhibited numerous limitations. By involving the analysis of dynamic changes in low molecular weight catabolites, metabolomics has been widely applied in various types of disease and have provided platforms to distinguish many novel biomarkers. However, to the best of our knowledge, there are few studies regarding the metabolic profiling for pleural effusion. In the current study, 58 pleural effusion samples were collected, among which 20 were malignant pleural effusions, 20 were tuberculous pleural effusions and 18 were transudative pleural effusions. The small molecule metabolite spectrums were obtained by adopting 1H nuclear magnetic resonance technology, and pattern‑recognition multi-variable statistical analysis was used to screen out different metabolites. One‑way analysis of variance, and Student‑Newman‑Keuls and the Kruskal‑Wallis test were adopted for statistical analysis. Over 400 metabolites were identified in the untargeted metabolomic analysis and 26 metabolites were identified as significantly different among tuberculous, malignant and transudative pleural effusions. These metabolites were predominantly involved in the metabolic pathways of amino acids metabolism, glycometabolism and lipid metabolism. Statistical analysis revealed that eight metabolites contributed to the distinction between the three groups: Tuberculous, malignant and transudative pleural effusion. In the current study, the feasibility of identifying small molecule biochemical profiles in different types of pleural effusion were investigated reveal novel biological insights into the underlying mechanisms. The results provide specific insights into the biology of tubercular, malignant and transudative pleural effusion and may offer novel strategies for the diagnosis and therapy of associated diseases, including tuberculosis, advanced lung cancer and congestive heart failure.
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Copy and paste a formatted citation
Spandidos Publications style
Wang C, Peng J, Kuang Y, Zhang J and Dai L: Metabolomic analysis based on 1H-nuclear magnetic resonance spectroscopy metabolic profiles in tuberculous, malignant and transudative pleural effusion. Mol Med Rep 16: 1147-1156, 2017.
APA
Wang, C., Peng, J., Kuang, Y., Zhang, J., & Dai, L. (2017). Metabolomic analysis based on 1H-nuclear magnetic resonance spectroscopy metabolic profiles in tuberculous, malignant and transudative pleural effusion. Molecular Medicine Reports, 16, 1147-1156. https://doi.org/10.3892/mmr.2017.6758
MLA
Wang, C., Peng, J., Kuang, Y., Zhang, J., Dai, L."Metabolomic analysis based on 1H-nuclear magnetic resonance spectroscopy metabolic profiles in tuberculous, malignant and transudative pleural effusion". Molecular Medicine Reports 16.2 (2017): 1147-1156.
Chicago
Wang, C., Peng, J., Kuang, Y., Zhang, J., Dai, L."Metabolomic analysis based on 1H-nuclear magnetic resonance spectroscopy metabolic profiles in tuberculous, malignant and transudative pleural effusion". Molecular Medicine Reports 16, no. 2 (2017): 1147-1156. https://doi.org/10.3892/mmr.2017.6758
Copy and paste a formatted citation
x
Spandidos Publications style
Wang C, Peng J, Kuang Y, Zhang J and Dai L: Metabolomic analysis based on 1H-nuclear magnetic resonance spectroscopy metabolic profiles in tuberculous, malignant and transudative pleural effusion. Mol Med Rep 16: 1147-1156, 2017.
APA
Wang, C., Peng, J., Kuang, Y., Zhang, J., & Dai, L. (2017). Metabolomic analysis based on 1H-nuclear magnetic resonance spectroscopy metabolic profiles in tuberculous, malignant and transudative pleural effusion. Molecular Medicine Reports, 16, 1147-1156. https://doi.org/10.3892/mmr.2017.6758
MLA
Wang, C., Peng, J., Kuang, Y., Zhang, J., Dai, L."Metabolomic analysis based on 1H-nuclear magnetic resonance spectroscopy metabolic profiles in tuberculous, malignant and transudative pleural effusion". Molecular Medicine Reports 16.2 (2017): 1147-1156.
Chicago
Wang, C., Peng, J., Kuang, Y., Zhang, J., Dai, L."Metabolomic analysis based on 1H-nuclear magnetic resonance spectroscopy metabolic profiles in tuberculous, malignant and transudative pleural effusion". Molecular Medicine Reports 16, no. 2 (2017): 1147-1156. https://doi.org/10.3892/mmr.2017.6758
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