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

IF 2.1 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Esrat Jahan, Tanoy Mazumder, Tarek Hasan, Khondoker Shahin Ahmed, Muhammed Amanat, Hemayet Hossain, Sumaiya Jannat Supty, Israt Jahan Liya, Md Sadikur Rahman Shuvo, A F M Shahid Ud Daula
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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.

Abstract Image

用代谢组学方法鉴定治疗SARS-CoV-2感染的马钱子潜在代谢物
新型冠状病毒的出现导致了 SARS-CoV-2 大流行,自 2019 年下半年开始以来,已对全世界的健康造成了严重危害。SARS-CoV-2 的再次感染或合并感染加剧了当前大流行的严重性。因此,了解败血症病理生理学的分子过程并发现可能的分子靶点进行治疗干预具有重要意义。通过气相色谱-质谱(GC-MS)分析,研究人员首次从马缨丹中初步鉴定出 31 种代谢物。另一方面,通过 HPLC-DAD 分析,从该植物中鉴定并量化了五种酚类化合物,包括(-)表儿茶素、芦丁水合物、迷迭香酸、槲皮素和山柰醇。9 种 GC-MS 和 5 种 HPLC 鉴定出的代谢物分别与 45 和 30 种 COVID-19 相关人类蛋白质发生了相互作用。在这些蛋白质中,PARP1、FN1、PRKCA、表皮生长因子受体、ALDH2、AKR1C3、AHR 和 IKBKB 被认为是缓解 SARS-CoV-2 感染的潜在治疗靶标。KEGG 通路分析还显示,FN1、表皮生长因子受体(EGFR)和 IKBKB 基因与 SARS-CoV-2 病毒复制和病毒感染导致的细胞因子过度表达有密切联系。蛋白-蛋白相互作用(PPI)分析还显示,TP53、MMP9、FN1、表皮生长因子受体和 NOS2 蛋白与 COVID-19 合并症相关基因高度相关。这些蛋白与植物成分也有相互作用。由于该研究提供了一种基于网络的稳健程序来鉴定与 COVID-19 疾病相关的生物大分子,A. malaccensis 可能是针对 COVID-19 和相关病毒性疾病的有效治疗药物的良好来源。
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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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