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Metabolomic Approach to Identify the Potential Metabolites from Alpinia malaccensis for Treating SARS-CoV-2 Infection

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Abstract

The advent of the new coronavirus, leading to the SARS-CoV-2 pandemic, has presented a substantial worldwide health hazard since its inception in the latter part of 2019. The severity of the current pandemic is exacerbated by the occurrence of re-infection or co-infection with SARS-CoV-2. Hence, comprehending the molecular process underlying the pathophysiology of sepsis and discerning possible molecular targets for therapeutic intervention holds significant importance. For the first time, 31 metabolites were tentatively identified by GC–MS analysis from Alpinia malaccensis. On the other hand, five phenolic compounds were identified and quantified from the plant in HPLC–DAD analysis, including (-) epicatechin, rutin hydrate, rosmarinic acid, quercetin, and kaempferol. Nine GC–MS and five HPLC-identified metabolites had shown interactions with 45 and 30 COVID-19-associated human proteins, respectively. Among the proteins, PARP1, FN1, PRKCA, EGFR, ALDH2, AKR1C3, AHR, and IKBKB have been found as potential therapeutic targets to mitigate SARS-CoV-2 infection. KEGG pathway analysis also showed a strong association of FN1, EGFR, and IKBKB genes with SARS-CoV-2 viral replication and cytokine overexpression due to viral infection. Protein–protein interaction (PPI) analysis also showed that TP53, MMP9, FN1, EGFR, and NOS2 proteins are highly related to the genes involved in COVID-19 comorbidity. These proteins showed interaction with the plant phytoconstituents as well. As the study offers a robust network-based procedure for identifying biomolecules relevant to COVID-19 disease, A. malaccensis could be a good source of effective therapeutic agents against COVID-19 and related viral diseases.

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This study did not receive any specific funding from government, commercial, or non-profit funding bodies.

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Contributions

E.J, S.J.S. and T.M: Methodology, Software, Data curation, Writing- Original draft preparation. K.S.A and H.H: HPLC-DAD analysis, Software, Validation. M.A, T.H. and I.J.L: Molecular docking, Software, Data curation, Visualization. S.R. and S.D: Conceptualization, Supervision, Writing- Reviewing and Editing. All authors reviewed the manuscript.

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Correspondence to Md. Sadikur Rahman Shuvo or A F M Shahid Ud Daula.

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Jahan, E., Mazumder, T., Hasan, T. et al. Metabolomic Approach to Identify the Potential Metabolites from Alpinia malaccensis for Treating SARS-CoV-2 Infection. Biochem Genet (2024). https://doi.org/10.1007/s10528-024-10869-4

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  • DOI: https://doi.org/10.1007/s10528-024-10869-4

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