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Yang S, Liu F, Leng Y, Zhang M, Zhang L, Wang X, Wang Y. Development of Xanthoangelol-Derived Compounds with Membrane-Disrupting Effects against Gram-Positive Bacteria. Antibiotics (Basel) 2024; 13:744. [PMID: 39200044 PMCID: PMC11350758 DOI: 10.3390/antibiotics13080744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Revised: 07/29/2024] [Accepted: 08/06/2024] [Indexed: 09/01/2024] Open
Abstract
Infections caused by multidrug-resistant pathogens have emerged as a serious threat to public health. To develop new antibacterial agents to combat such drug-resistant bacteria, a class of novel amphiphilic xanthoangelol-derived compounds were designed and synthesized by mimicking the structure and function of antimicrobial peptides (AMPs). Among them, compound 9h displayed excellent antimicrobial activity against the Gram-positive strains tested (MICs = 0.5-2 μg/mL), comparable to vancomycin, and with low hemolytic toxicity and good membrane selectivity. Additionally, compound 9h demonstrated rapid bactericidal effects, low resistance frequency, low cytotoxicity, and good plasma stability. Mechanistic studies further revealed that compound 9h had good membrane-targeting ability and was able to destroy the integrity of bacterial cell membranes, causing an increase in intracellular ROS and the leakage of DNA and proteins, thus accelerating bacterial death. These results make 9h a promising antimicrobial candidate to combat bacterial infection.
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Affiliation(s)
| | | | | | | | | | - Xuekun Wang
- State Key Laboratory for Macromolecule Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences and Food Engineering, Liaocheng University, Liaocheng 252059, China; (S.Y.); (F.L.); (Y.L.); (M.Z.); (L.Z.)
| | - Yinhu Wang
- State Key Laboratory for Macromolecule Drugs and Large-Scale Manufacturing, School of Pharmaceutical Sciences and Food Engineering, Liaocheng University, Liaocheng 252059, China; (S.Y.); (F.L.); (Y.L.); (M.Z.); (L.Z.)
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2
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Selegato DM, Zanatta AC, Pilon AC, Veloso JH, Castro-Gamboa I. Application of feature-based molecular networking and MassQL for the MS/MS fragmentation study of depsipeptides. Front Mol Biosci 2023; 10:1238475. [PMID: 37593127 PMCID: PMC10427501 DOI: 10.3389/fmolb.2023.1238475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 07/18/2023] [Indexed: 08/19/2023] Open
Abstract
The Feature-based Molecular Networking (FBMN) is a well-known approach for mapping and identifying structures and analogues. However, in the absence of prior knowledge about the molecular class, assessing specific fragments and clusters requires time-consuming manual validation. This study demonstrates that combining FBMN and Mass Spec Query Language (MassQL) is an effective strategy for accelerating the decoding mass fragmentation pathways and identifying molecules with comparable fragmentation patterns, such as beauvericin and its analogues. To accomplish this objective, a spectral similarity network was built from ESI-MS/MS experiments of Fusarium oxysporum at various collision energies (CIDs) and paired with a MassQL search query for conserved beauvericin ions. FBMN analysis revealed that sodiated and protonated ions clustered differently, with sodiated adducts needing more collision energy and exhibiting a distinct fragmentation pattern. Based on this distinction, two sets of particular fragments were discovered for the identification of these hexadepsipeptides: ([M + H]+) m/z 134, 244, 262, and 362 and ([M + Na]+) m/z 266, 284 and 384. By using these fragments, MassQL accurately found other analogues of the same molecular class and annotated beauvericins that were not classified by FBMN alone. Furthermore, FBMN analysis of sodiated beauvericins at 70 eV revealed subclasses with distinct amino acid residues, allowing distinction between beauvericins (beauvericin and beauvericin D) and two previously unknown structural isomers with an unusual methionine sulfoxide residue. In summary, our integrated method revealed correlations between adduct types and fragmentation patterns, facilitated the detection of beauvericin clusters, including known and novel analogues, and allowed for the differentiation between structural isomers.
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Affiliation(s)
- Denise M. Selegato
- Nucleus of Bioassays, Biosynthesis, and Ecophysiology of Natural Products (NuBBE), Institute of Chemistry, São Paulo State University (UNESP), Araraquara, Brazil
| | - Ana C. Zanatta
- Núcleo de Pesquisa em Produtos Naturais e Sintéticos (NPPNS), Faculdade de Ciências Farmacêuticas, São Paulo University (USP), São Paulo, Brazil
| | - Alan C. Pilon
- Nucleus of Bioassays, Biosynthesis, and Ecophysiology of Natural Products (NuBBE), Institute of Chemistry, São Paulo State University (UNESP), Araraquara, Brazil
| | - Juvenal H. Veloso
- Nucleus of Bioassays, Biosynthesis, and Ecophysiology of Natural Products (NuBBE), Institute of Chemistry, São Paulo State University (UNESP), Araraquara, Brazil
| | - Ian Castro-Gamboa
- Nucleus of Bioassays, Biosynthesis, and Ecophysiology of Natural Products (NuBBE), Institute of Chemistry, São Paulo State University (UNESP), Araraquara, Brazil
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Jafari M, Schriner SE, Kil YS, Pham ST, Seo EK. Angelica keiskei Impacts the Lifespan and Healthspan of Drosophila melanogaster in a Sex and Strain-Dependent Manner. Pharmaceuticals (Basel) 2023; 16:ph16050738. [PMID: 37242522 DOI: 10.3390/ph16050738] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 05/02/2023] [Accepted: 05/04/2023] [Indexed: 05/28/2023] Open
Abstract
Angelica keiskei is a perennial plant, belonging to the Apiaceae family and originating from Japan. This plant has been reported to act as a diuretic, analeptic, antidiabetic, hypertensive, tumor, galactagogue, and laxative. The mechanism of action of A. keiskei is not known, but previous studies have suggested that it may act as an antioxidant. In this work, we used Drosophila melanogaster to evaluate the impact of A. keiskei on lifespan and healthspan and its potential anti-aging mechanism by conducting multiple assays on three fly strains: w1118, chico, and JIV. We observed that the extract extended lifespan and improved healthspan in a sex- and strain-dependent manner. A. keiskei extended lifespan and improved reproductive fitness in female flies and either had no effect or decreased survival and physical performance in males. The extract protected against the superoxide generator paraquat in both sexes. These sex-specific effects suggest that A. keiskei may act through age-specific pathways such as the insulin and insulin-like growth factor signaling (IIS) pathways. Upon examination, we found that the increased survival of A. keiskei-fed females was dependent on the presence of the insulin receptor substrate chico, supporting the role of IIS in the action of A. keiskei.
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Affiliation(s)
- Mahtab Jafari
- Department of Pharmaceutical Sciences, University of California, Irvine, CA 92697, USA
| | - Samuel E Schriner
- Department of Pharmaceutical Sciences, University of California, Irvine, CA 92697, USA
| | - Yun-Seo Kil
- College of Pharmacy, Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul 03760, Republic of Korea
| | - Sally T Pham
- Department of Pharmaceutical Sciences, University of California, Irvine, CA 92697, USA
| | - Eun Kyoung Seo
- College of Pharmacy, Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul 03760, Republic of Korea
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4
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Qin GF, Zhang X, Zhu F, Huo ZQ, Yao QQ, Feng Q, Liu Z, Zhang GM, Yao JC, Liang HB. MS/MS-Based Molecular Networking: An Efficient Approach for Natural Products Dereplication. MOLECULES (BASEL, SWITZERLAND) 2022; 28:molecules28010157. [PMID: 36615351 PMCID: PMC9822519 DOI: 10.3390/molecules28010157] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/13/2022] [Accepted: 12/20/2022] [Indexed: 12/29/2022]
Abstract
Natural products (NPs) have historically played a primary role in the discovery of small-molecule drugs. However, due to the advent of other methodologies and the drawbacks of NPs, the pharmaceutical industry has largely declined in interest regarding the screening of new drugs from NPs since 2000. There are many technical bottlenecks to quickly obtaining new bioactive NPs on a large scale, which has made NP-based drug discovery very time-consuming, and the first thorny problem faced by researchers is how to dereplicate NPs from crude extracts. Remarkably, with the rapid development of omics, analytical instrumentation, and artificial intelligence technology, in 2012, an efficient approach, known as tandem mass spectrometry (MS/MS)-based molecular networking (MN) analysis, was developed to avoid the rediscovery of known compounds from the complex natural mixtures. Then, in the past decade, based on the classical MN (CLMN), feature-based MN (FBMN), ion identity MN (IIMN), building blocks-based molecular network (BBMN), substructure-based MN (MS2LDA), and bioactivity-based MN (BMN) methods have been presented. In this paper, we review the basic principles, general workflow, and application examples of the methods mentioned above, to further the research and applications of these methods.
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Affiliation(s)
- Guo-Fei Qin
- State Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine, Lunan Pharmaceutical Group Co., Ltd., Linyi 273400, China
- Correspondence: (G.-F.Q.); (J.-C.Y.); (H.-B.L.); Tel.: +86-539-503-0319 (G.-F.Q.)
| | - Xiao Zhang
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Feng Zhu
- State Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine, Lunan Pharmaceutical Group Co., Ltd., Linyi 273400, China
| | - Zong-Qing Huo
- State Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine, Lunan Pharmaceutical Group Co., Ltd., Linyi 273400, China
| | | | - Qun Feng
- State Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine, Lunan Pharmaceutical Group Co., Ltd., Linyi 273400, China
| | - Zhong Liu
- State Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine, Lunan Pharmaceutical Group Co., Ltd., Linyi 273400, China
| | - Gui-Min Zhang
- State Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine, Lunan Pharmaceutical Group Co., Ltd., Linyi 273400, China
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
| | - Jing-Chun Yao
- State Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine, Lunan Pharmaceutical Group Co., Ltd., Linyi 273400, China
- Correspondence: (G.-F.Q.); (J.-C.Y.); (H.-B.L.); Tel.: +86-539-503-0319 (G.-F.Q.)
| | - Hong-Bao Liang
- State Key Laboratory of Generic Manufacture Technology of Chinese Traditional Medicine, Lunan Pharmaceutical Group Co., Ltd., Linyi 273400, China
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, China
- Correspondence: (G.-F.Q.); (J.-C.Y.); (H.-B.L.); Tel.: +86-539-503-0319 (G.-F.Q.)
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5
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Rajčević N, Bukvički D, Dodoš T, Marin PD. Interactions between Natural Products-A Review. Metabolites 2022; 12:metabo12121256. [PMID: 36557296 PMCID: PMC9786035 DOI: 10.3390/metabo12121256] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 12/03/2022] [Accepted: 12/09/2022] [Indexed: 12/15/2022] Open
Abstract
Plant-based natural products have been used as a source for therapeutics since the dawn of civilization. According to the World Health Organization (WHO), more than 80% of the world's population relies on traditional medicine for their primary healthcare. Numerous natural extracts, widely known in Traditional Chinese Medicine, Indian Ayurveda medicine and other practices, have led to the modern discovery and development of new drugs. Plants continuously interact with their environment, producing new compounds and ever-changing combinations of existing ones. Interestingly, some of the compounds have shown lower therapeutic activity in comparison to the extract they were isolated from. These findings suggest that the higher therapeutic activity of the source extract was due to the synergistic effect of several compounds. In other words, the total therapeutic potential of the extract cannot be explained only by the sum of its parts alone. In traditional medicine, most herbal remedies are based on a mixture of plants, and it is the interaction between different constituents that amplifies their therapeutic potential. Considering the significant influence traditional medicine has on human healthcare, knowing and studying the synergistic effect of compounds is paramount in designing smart therapeutic agents.
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Vaou N, Stavropoulou E, Voidarou C(C, Tsakris Z, Rozos G, Tsigalou C, Bezirtzoglou E. Interactions between Medical Plant-Derived Bioactive Compounds: Focus on Antimicrobial Combination Effects. Antibiotics (Basel) 2022; 11:antibiotics11081014. [PMID: 36009883 PMCID: PMC9404952 DOI: 10.3390/antibiotics11081014] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/24/2022] [Accepted: 07/25/2022] [Indexed: 11/24/2022] Open
Abstract
It is accepted that the medicinal use of complex mixtures of plant-derived bioactive compounds is more effective than purified bioactive compounds due to beneficial combination interactions. However, synergy and antagonism are very difficult to study in a meticulous fashion since most established methods were designed to reduce the complexity of mixtures and identify single bioactive compounds. This study represents a critical review of the current scientific literature on the combined effects of plant-derived extracts/bioactive compounds. A particular emphasis is provided on the identification of antimicrobial synergistic or antagonistic combinations using recent metabolomics methods and elucidation of approaches identifying potential mechanisms that underlie their interactions. Proven examples of synergistic/antagonistic antimicrobial activity of bioactive compounds are also discussed. The focus is also put on the current challenges, difficulties, and problems that need to be overcome and future perspectives surrounding combination effects. The utilization of bioactive compounds from medicinal plant extracts as appropriate antimicrobials is important and needs to be facilitated by means of new metabolomics technologies to discover the most effective combinations among them. Understanding the nature of the interactions between medicinal plant-derived bioactive compounds will result in the development of new combination antimicrobial therapies.
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Affiliation(s)
- Natalia Vaou
- Laboratory of Hygiene and Environmental Protection, Department of Medicine, Democritus University of Thrace, Dragana, 68100 Alexandroupolis, Greece;
- Correspondence: (N.V.); or (E.S.)
| | - Elisavet Stavropoulou
- Centre Hospitalier Universitaire Vaudois (CHUV), 1101 Lausanne, Switzerland
- Correspondence: (N.V.); or (E.S.)
| | - Chrysoula (Chrysa) Voidarou
- Department of Agriculture, School of Agriculture, University of Ioannina, 47100 Arta, Greece; (C.V.); (G.R.)
| | - Zacharias Tsakris
- Laboratory of Microbiology, Department of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece;
| | - Georgios Rozos
- Department of Agriculture, School of Agriculture, University of Ioannina, 47100 Arta, Greece; (C.V.); (G.R.)
| | - Christina Tsigalou
- Laboratory of Microbiology, Department of Medicine, Democritus University of Thrace, Dragana, 68100 Alexandroupolis, Greece;
| | - Eugenia Bezirtzoglou
- Laboratory of Hygiene and Environmental Protection, Department of Medicine, Democritus University of Thrace, Dragana, 68100 Alexandroupolis, Greece;
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7
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Lim Ah Tock M, Combrinck S, Kamatou G, Chen W, Van Vuuren S, Viljoen A. Antibacterial Screening, Biochemometric and Bioautographic Evaluation of the Non-Volatile Bioactive Components of Three Indigenous South African Salvia Species. Antibiotics (Basel) 2022; 11:antibiotics11070901. [PMID: 35884155 PMCID: PMC9312202 DOI: 10.3390/antibiotics11070901] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 06/29/2022] [Accepted: 06/29/2022] [Indexed: 01/25/2023] Open
Abstract
Salvia africana-lutea L., S. lanceolata L., and S. chamelaeagnea L. are used in South Africa as traditional medicines to treat infections. This paper describes an in-depth investigation into their antibacterial activities to identify bioactive compounds. Methanol extracts from 81 samples were screened against seven bacterial pathogens, using the microdilution assay. Biochemometric models were constructed using data derived from minimum inhibitory concentration (MIC) and ultra-performance liquid chromatography-mass spectrometry data. Active molecules in selected extracts were tentatively identified using high-performance thin layer chromatography (HPTLC), combined with bioautography, and finally, by analysis of active zone eluates by mass spectrometry (MS) via a dedicated interface. Salvia chamelaeagnea displayed notable activity towards all seven pathogens, and the activity, reflected by MICs, was superior to that of the other two species, as confirmed through ANOVA. Biochemometric models highlighted potentially bioactive compounds, including rosmanol methyl ether, epiisorosmanol methyl ether and carnosic acid. Bioautography assays revealed inhibition zones against A. baumannii, an increasingly multidrug-resistant pathogen. Mass spectral data of the eluted zones correlated to those revealed through biochemometric analysis. The study demonstrates the application of a biochemometric approach, bioautography, and direct MS analysis as useful tools for the rapid identification of bioactive constituents in plant extracts.
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Affiliation(s)
- Margaux Lim Ah Tock
- Department of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria 0001, South Africa; (M.L.A.T.); (S.C.); (G.K.); (W.C.)
| | - Sandra Combrinck
- Department of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria 0001, South Africa; (M.L.A.T.); (S.C.); (G.K.); (W.C.)
| | - Guy Kamatou
- Department of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria 0001, South Africa; (M.L.A.T.); (S.C.); (G.K.); (W.C.)
| | - Weiyang Chen
- Department of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria 0001, South Africa; (M.L.A.T.); (S.C.); (G.K.); (W.C.)
| | - Sandy Van Vuuren
- Department of Pharmacy and Pharmacology, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Johannesburg 2193, South Africa;
| | - Alvaro Viljoen
- Department of Pharmaceutical Sciences, Faculty of Science, Tshwane University of Technology, Pretoria 0001, South Africa; (M.L.A.T.); (S.C.); (G.K.); (W.C.)
- SAMRC Herbal Drugs Research Unit, Faculty of Science, Tshwane University of Technology, Pretoria 0001, South Africa
- Correspondence:
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8
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Liang M, Ge X, Xua H, Ma K, Zhang W, Zan Y, Efferth T, Xue Z, Hua X. Phytochemicals with activity against methicillin-resistant Staphylococcus aureus. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2022; 100:154073. [PMID: 35397285 DOI: 10.1016/j.phymed.2022.154073] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Revised: 03/21/2022] [Accepted: 03/25/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND The evolution of resistance to antimicrobials is a ubiquitous phenomenon. The evolution of antibiotic resistance in Staphylococcus aureus suggests that there is no remedy with sustaining effectiveness against this pathogen. The limited number of antibacterial drug classes and the common occurrence of cross-resistant bacteria reinforce the urgent need to discover new compounds targeting novel cellular functions. Natural products are a potential source of novel antibacterial agents. Anti-MRSA (methicillin-resistant S. aureus) bioactive compounds from Streptomyces and the anti-MRSA activity of a series of plant extracts have been reviewed respectively. However, there has been no detailed review of the precise bioactive components from plants. PURPOSE The present review aimed to summarize the phytochemicals that have been reported with anti-MRSA activities, analyze their structure-activity relationship and novel anti-MRSA mechanisms. METHODS Data contained in this review article are compiled from the authoritative databases PubMed, Web of Science, Google Scholar, and so on. RESULTS This review summarizes 100 phytochemicals (27 flavonoids, 23 alkaloids, 17 terpenes and 33 others) that have been tested for their anti-MRSA activity. Among these phytochemicals, 39 compounds showed remarkable anti-MRSA activity with MIC values less than 10 μg/ml, 14 compounds with MIC ranges including values < 10 μg/ml, 5 compounds with MIC values less than 5 μM; 11 phytochemicals show synergism anti-MRSA effects in combination with antibiotics. Phytochemicals exerted anti-MRSA activities mainly by destroying the membrane structure and inhibiting the efflux pump. CONCLUSIONS The 58 compounds with excellent anti-MRSA activity the 11 compounds with synergistic anti-MRSA effect, especially cannabinoids, xanthones and fatty acids should be further studied in vitro. Novel targets, such as cell membrane and efflux pump could be promising alternatives to develop antibacterial drugs in the future in order to prevent drug resistance.
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Affiliation(s)
- Miaomiao Liang
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration (Northeast Forestry University), Ministry of Education, Harbin, China
| | - Xueliang Ge
- Department of Cell and Molecular Biology, Biomedical Center, Uppsala University, Uppsala SE-75124, Sweden
| | - Hui Xua
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration (Northeast Forestry University), Ministry of Education, Harbin, China
| | - Kaifeng Ma
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration (Northeast Forestry University), Ministry of Education, Harbin, China
| | - Wei Zhang
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration (Northeast Forestry University), Ministry of Education, Harbin, China
| | - Yibo Zan
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration (Northeast Forestry University), Ministry of Education, Harbin, China
| | - Thomas Efferth
- Department of Pharmaceutical Biology, Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University, Mainz 55128, Germany
| | - Zheyong Xue
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration (Northeast Forestry University), Ministry of Education, Harbin, China.
| | - Xin Hua
- Key Laboratory of Saline-alkali Vegetation Ecology Restoration (Northeast Forestry University), Ministry of Education, Harbin, China.
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Chalcones from Angelica keiskei (ashitaba) inhibit key Zika virus replication proteins. Bioorg Chem 2022; 120:105649. [PMID: 35124513 PMCID: PMC9187613 DOI: 10.1016/j.bioorg.2022.105649] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 01/21/2022] [Accepted: 01/25/2022] [Indexed: 12/25/2022]
Abstract
Zika virus (ZIKV) is a dangerous human pathogen and no antiviral drugs have been approved to date. The chalcones are a group of small molecules that are found in a number of different plants, including Angelica keiskei Koidzumi, also known as ashitaba. To examine chalcone anti-ZIKV activity, three chalcones, 4-hydroxyderricin (4HD), xanthoangelol (XA), and xanthoangelol-E (XA-E), were purified from a methanol-ethyl acetate extract from A. keiskei. Molecular and ensemble docking predicted that these chalcones would establish multiple interactions with residues in the catalytic and allosteric sites of ZIKV NS2B-NS3 protease, and in the allosteric site of the NS5 RNA-dependent RNA-polymerase (RdRp). Machine learning models also predicted 4HD, XA and XA-E as potential anti-ZIKV inhibitors. Enzymatic and kinetic assays confirmed chalcone inhibition of the ZIKV NS2B-NS3 protease allosteric site with IC50s from 18 to 50 µM. Activity assays also revealed that XA, but not 4HD or XA-E, inhibited the allosteric site of the RdRp, with an IC50 of 6.9 µM. Finally, we tested these chalcones for their anti-viral activity in vitro with Vero cells. 4HD and XA-E displayed anti-ZIKV activity with EC50 values of 6.6 and 22.0 µM, respectively, while XA displayed relatively weak anti-ZIKV activity with whole cells. With their simple structures and relative ease of modification, the chalcones represent attractive candidates for hit-to-lead optimization in the search of new anti-ZIKV therapeutics.
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10
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Caesar LK, Montaser R, Keller NP, Kelleher NL. Metabolomics and genomics in natural products research: complementary tools for targeting new chemical entities. Nat Prod Rep 2021; 38:2041-2065. [PMID: 34787623 PMCID: PMC8691422 DOI: 10.1039/d1np00036e] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Covering: 2010 to 2021Organisms in nature have evolved into proficient synthetic chemists, utilizing specialized enzymatic machinery to biosynthesize an inspiring diversity of secondary metabolites. Often serving to boost competitive advantage for their producers, these secondary metabolites have widespread human impacts as antibiotics, anti-inflammatories, and antifungal drugs. The natural products discovery field has begun a shift away from traditional activity-guided approaches and is beginning to take advantage of increasingly available metabolomics and genomics datasets to explore undiscovered chemical space. Major strides have been made and now enable -omics-informed prioritization of chemical structures for discovery, including the prospect of confidently linking metabolites to their biosynthetic pathways. Over the last decade, more integrated strategies now provide researchers with pipelines for simultaneous identification of expressed secondary metabolites and their biosynthetic machinery. However, continuous collaboration by the natural products community will be required to optimize strategies for effective evaluation of natural product biosynthetic gene clusters to accelerate discovery efforts. Here, we provide an evaluative guide to scientific literature as it relates to studying natural product biosynthesis using genomics, metabolomics, and their integrated datasets. Particular emphasis is placed on the unique insights that can be gained from large-scale integrated strategies, and we provide source organism-specific considerations to evaluate the gaps in our current knowledge.
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Affiliation(s)
- Lindsay K Caesar
- Department of Chemistry, Northwestern University, Evanston, IL, USA.
| | - Rana Montaser
- Department of Chemistry, Northwestern University, Evanston, IL, USA.
| | - Nancy P Keller
- Department of Medical Microbiology and Immunology and Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
| | - Neil L Kelleher
- Department of Chemistry, Northwestern University, Evanston, IL, USA.
- Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA
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11
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Jarmusch SA, van der Hooft JJJ, Dorrestein PC, Jarmusch AK. Advancements in capturing and mining mass spectrometry data are transforming natural products research. Nat Prod Rep 2021; 38:2066-2082. [PMID: 34612288 PMCID: PMC8667781 DOI: 10.1039/d1np00040c] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Covering: 2016 up to 2021Mass spectrometry (MS) is an essential technology in natural products research with MS fragmentation (MS/MS) approaches becoming a key tool. Recent advancements in MS yield dense metabolomics datasets which have been, conventionally, used by individual labs for individual projects; however, a shift is brewing. The movement towards open MS data (and other structural characterization data) and accessible data mining tools is emerging in natural products research. Over the past 5 years, this movement has rapidly expanded and evolved with no slowdown in sight; the capabilities of today vastly exceed those of 5 years ago. Herein, we address the analysis of individual datasets, a situation we are calling the '2021 status quo', and the emergent framework to systematically capture sample information (metadata) and perform repository-scale analyses. We evaluate public data deposition, discuss the challenges of working in the repository scale, highlight the challenges of metadata capture and provide illustrative examples of the power of utilizing repository data and the tools that enable it. We conclude that the advancements in MS data collection must be met with advancements in how we utilize data; therefore, we argue that open data and data mining is the next evolution in obtaining the maximum potential in natural products research.
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Affiliation(s)
- Scott A Jarmusch
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads 221, DK-2800 Kongens Lyngby, Denmark.
| | | | - Pieter C Dorrestein
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093-0751, USA
| | - Alan K Jarmusch
- Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093-0751, USA
- Immunity, Inflammation, and Disease Laboratory, Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC 27709, USA
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Scalarane-Type Sesterterpenoids from the Marine Sponge Lendenfeldia sp. Alleviate Inflammation in Human Neutrophils. Mar Drugs 2021; 19:md19100561. [PMID: 34677460 PMCID: PMC8541400 DOI: 10.3390/md19100561] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 09/24/2021] [Accepted: 09/27/2021] [Indexed: 11/18/2022] Open
Abstract
Sponge-derived scalaranes are remarkable sesterterpenoids previously found to exhibit profound inhibitory effects against neutrophilic inflammation. In our current work, we constructed the metabolomic profile of marine sponge Lendenfeldia sp. for the first time using a tandem mass spectrometry (MS/MS) molecular networking approach. The results highlighted the rich chemical diversity of these scalaranes, motivating us to conduct further research to discover novel scalaranes targeting neutrophilic inflammation. MS- and NMR-assisted isolation and elucidation led to the discovery of seven new homoscalaranes, lendenfeldaranes K–Q (1–7), characterized by methylation at C-24, together with five known derivatives, lendenfeldarane B (8), 25-nor-24-methyl-12,24-dioxoscalar-16-en-22-oic acid (9), 24-methyl-12,24,25-trioxoscalar-16-en-22-oic acid (10), felixin B (11), and 23-hydroxy-20-methyldeoxoscalarin (12). Scalaranes 1–4 and 6–12 were assayed against superoxide anion generation and elastase release, which represented the neutrophilic inflammatory responses of respiratory burst and degranulation, respectively. The results indicated that 1–3 and 6–12 exhibited potential anti-inflammatory activities (IC50 for superoxide anion scavenging: 0.87~6.57 μM; IC50 for elastase release: 1.12~6.97 μM).
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Yu Y, Yao C, Guo DA. Insight into chemical basis of traditional Chinese medicine based on the state-of-the-art techniques of liquid chromatography-mass spectrometry. Acta Pharm Sin B 2021; 11:1469-1492. [PMID: 34221863 PMCID: PMC8245813 DOI: 10.1016/j.apsb.2021.02.017] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 02/02/2021] [Accepted: 02/22/2021] [Indexed: 12/21/2022] Open
Abstract
Traditional Chinese medicine (TCM) has been an indispensable source of drugs for curing various human diseases. However, the inherent chemical diversity and complexity of TCM restricted the safety and efficacy of its usage. Over the past few decades, the combination of liquid chromatography with mass spectrometry has contributed greatly to the TCM qualitative analysis. And novel approaches have been continuously introduced to improve the analytical performance, including both the data acquisition methods to generate a large and informative dataset, and the data post-processing tools to extract the structure-related MS information. Furthermore, the fast-developing computer techniques and big data analytics have markedly enriched the data processing tools, bringing benefits of high efficiency and accuracy. To provide an up-to-date review of the latest techniques on the TCM qualitative analysis, multiple data-independent acquisition methods and data-dependent acquisition methods (precursor ion list, dynamic exclusion, mass tag, precursor ion scan, neutral loss scan, and multiple reaction monitoring) and post-processing techniques (mass defect filtering, diagnostic ion filtering, neutral loss filtering, mass spectral trees similarity filter, molecular networking, statistical analysis, database matching, etc.) were summarized and categorized. Applications of each technique and integrated analytical strategies were highlighted, discussion and future perspectives were proposed as well.
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Key Words
- BS, background subtraction
- CCS, collision cross section
- CE, collision energy
- CID, collision-induced dissociation
- DDA, data-dependent acquisition
- DE, dynamic exclusion
- DIA, data-independent acquisition
- DIF, diagnostic ion filtering
- DM, database matching
- Data acquisition
- Data post-processing
- EL, exclusion list
- EMS, enhanced mass spectrum
- EPI, enhanced product ion
- FS, full scan
- HCD, high-energy C-trap dissociation
- IDA, information dependent acquisition
- IM, ion mobility
- IPF, isotope pattern filtering
- ISCID, in-source collision-induced dissociation
- LC, liquid chromatography
- LTQ-Orbitrap, linear ion-trap/orbitrap
- Liquid chromatography−mass spectrometry
- MDF, mass defect filtering
- MIM, multiple ion monitoring
- MN, molecular networking
- MRM, multiple reaction monitoring
- MS, mass spectrometry
- MTSF, mass spectral trees similarity filter
- NL, neutral loss
- NLF, neutral loss filtering
- NLS, neutral loss scan
- NRF, nitrogen rule filtering
- PCA, principal component analysis
- PIL, precursor ion list
- PIS, precursor ion scan
- PLS-DA, partial least square-discriminant analysis
- Q-TRAP, hybrid triple quadrupole-linear ion trap
- QSRR, quantitative structure retention relationship
- QqQ, triple quadrupole
- Qualitative analysis
- RT, retention time
- SA, statistical analysis
- TCM, traditional Chinese medicine
- Traditional Chinese medicine
- UHPLC, ultra-high performance liquid chromatography
- cMRM, conventional multiple reaction monitoring
- sMRM, scheduled multiple reaction monitoring
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Affiliation(s)
- Yang Yu
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Changliang Yao
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
| | - De-an Guo
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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Cox EJ, Tian DD, Clarke JD, Rettie AE, Unadkat JD, Thummel KE, McCune JS, Paine MF. Modeling Pharmacokinetic Natural Product-Drug Interactions for Decision-Making: A NaPDI Center Recommended Approach. Pharmacol Rev 2021; 73:847-859. [PMID: 33712517 PMCID: PMC7956993 DOI: 10.1124/pharmrev.120.000106] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The popularity of botanical and other purported medicinal natural products (NPs) continues to grow, especially among patients with chronic illnesses and patients managed on complex prescription drug regimens. With few exceptions, the risk of a given NP to precipitate a clinically significant pharmacokinetic NP-drug interaction (NPDI) remains understudied or unknown. Application of static or dynamic mathematical models to predict and/or simulate NPDIs can provide critical information about the potential clinical significance of these complex interactions. However, methods used to conduct such predictions or simulations are highly variable. Additionally, published reports using mathematical models to interrogate NPDIs are not always sufficiently detailed to ensure reproducibility. Consequently, guidelines are needed to inform the conduct and reporting of these modeling efforts. This recommended approach from the Center of Excellence for Natural Product Drug Interaction Research describes a systematic method for using mathematical models to interpret the interaction risk of NPs as precipitants of potential clinically significant pharmacokinetic NPDIs. A framework for developing and applying pharmacokinetic NPDI models is presented with the aim of promoting accuracy, reproducibility, and generalizability in the literature. SIGNIFICANCE STATEMENT: Many natural products (NPs) contain phytoconstituents that can increase or decrease systemic or tissue exposure to, and potentially the efficacy of, a pharmaceutical drug; however, no regulatory agency guidelines exist to assist in predicting the risk of these complex interactions. This recommended approach from a multi-institutional consortium designated by National Institutes of Health as the Center of Excellence for Natural Product Drug Interaction Research provides a framework for modeling pharmacokinetic NP-drug interactions.
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Affiliation(s)
- Emily J Cox
- Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (J.D.C., A.E.R., J.D.U., K.E.T., J.S.M., M.F.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (E.J.C., D.-D.T., J.D.C., M.F.P.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (J.D.U., K.E.T.), University of Washington, Seattle, Washington; and Department of Population Sciences, City of Hope, Duarte, California (J.S.M.)
| | - Dan-Dan Tian
- Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (J.D.C., A.E.R., J.D.U., K.E.T., J.S.M., M.F.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (E.J.C., D.-D.T., J.D.C., M.F.P.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (J.D.U., K.E.T.), University of Washington, Seattle, Washington; and Department of Population Sciences, City of Hope, Duarte, California (J.S.M.)
| | - John D Clarke
- Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (J.D.C., A.E.R., J.D.U., K.E.T., J.S.M., M.F.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (E.J.C., D.-D.T., J.D.C., M.F.P.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (J.D.U., K.E.T.), University of Washington, Seattle, Washington; and Department of Population Sciences, City of Hope, Duarte, California (J.S.M.)
| | - Allan E Rettie
- Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (J.D.C., A.E.R., J.D.U., K.E.T., J.S.M., M.F.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (E.J.C., D.-D.T., J.D.C., M.F.P.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (J.D.U., K.E.T.), University of Washington, Seattle, Washington; and Department of Population Sciences, City of Hope, Duarte, California (J.S.M.)
| | - Jashvant D Unadkat
- Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (J.D.C., A.E.R., J.D.U., K.E.T., J.S.M., M.F.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (E.J.C., D.-D.T., J.D.C., M.F.P.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (J.D.U., K.E.T.), University of Washington, Seattle, Washington; and Department of Population Sciences, City of Hope, Duarte, California (J.S.M.)
| | - Kenneth E Thummel
- Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (J.D.C., A.E.R., J.D.U., K.E.T., J.S.M., M.F.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (E.J.C., D.-D.T., J.D.C., M.F.P.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (J.D.U., K.E.T.), University of Washington, Seattle, Washington; and Department of Population Sciences, City of Hope, Duarte, California (J.S.M.)
| | - Jeannine S McCune
- Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (J.D.C., A.E.R., J.D.U., K.E.T., J.S.M., M.F.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (E.J.C., D.-D.T., J.D.C., M.F.P.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (J.D.U., K.E.T.), University of Washington, Seattle, Washington; and Department of Population Sciences, City of Hope, Duarte, California (J.S.M.)
| | - Mary F Paine
- Center of Excellence for Natural Product Drug Interaction Research, Spokane, Washington (J.D.C., A.E.R., J.D.U., K.E.T., J.S.M., M.F.P.); Department of Pharmaceutical Sciences, Washington State University, Spokane, Washington (E.J.C., D.-D.T., J.D.C., M.F.P.); Departments of Medicinal Chemistry (A.E.R.) and Pharmaceutics (J.D.U., K.E.T.), University of Washington, Seattle, Washington; and Department of Population Sciences, City of Hope, Duarte, California (J.S.M.)
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15
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A metabolomic approach to target antimalarial metabolites in the Artemisia annua fungal endophytes. Sci Rep 2021; 11:2770. [PMID: 33531542 PMCID: PMC7854678 DOI: 10.1038/s41598-021-82201-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 12/24/2020] [Indexed: 11/28/2022] Open
Abstract
Fungal endophytes are a major source of anti-infective agents and other medically relevant compounds. However, their classical blinded-chemical investigation is a challenging process due to their highly complex chemical makeup. Thus, utilizing cheminformatics tools such as metabolomics and computer-aided modelling is of great help deal with such complexity and select the most probable bioactive candidates. In the present study, we have explored the fungal endophytes associated with the well-known antimalarial medicinal plant Artemisia annua for their production of further antimalarial agents. Based on the preliminary antimalarial screening of these endophytes and using LC-HRMS-based metabolomics and multivariate analyses, we suggested different potentially active metabolites (compounds 1–8). Further in silico investigation using the neural-network-based prediction software PASS led to the selection of a group of quinone derivatives (compounds 1–5) as the most possible active hits. Subsequent in vitro validation revealed emodin (1) and physcion (2) to be potent antimalarial candidates with IC50 values of 0.9 and 1.9 µM, respectively. Our approach in the present investigation therefore can be applied as a preliminary evaluation step in the natural products drug discovery, which in turn can facilitate the isolation of selected metabolites notably the biologically active ones.
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16
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Jones DD, Caesar LK, Pelzer CV, Crandall WJ, Jenul C, Todd DA, Horswill AR, Cech NB. Targeted and untargeted analysis of secondary metabolites to monitor growth and quorum sensing inhibition for methicillin-resistant Staphylococcus aureus (MRSA). J Microbiol Methods 2020; 176:106000. [PMID: 32649968 DOI: 10.1016/j.mimet.2020.106000] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Revised: 07/02/2020] [Accepted: 07/02/2020] [Indexed: 11/17/2022]
Abstract
Drug resistant infections are an increasing problem world-wide, responsible for an estimated 700,000 annual mortalities. The use of antibiotics to treat such infections has resulted in the development of resistant bacterial pathogens such as methicillin-resistant Staphylococcus aureus (MRSA). One potential alternative strategy for treating drug resistant bacterial infections is to inhibit the production of toxins, thereby making the bacteria less harmful to the host, a so called "anti-virulence" approach. In MRSA, the agr quorum sensing system is one of the major regulators of toxin production, and quorum sensing inhibitors that target this system are a promising anti-virulence strategy. With this study, we developed a method that enables the activity of quorum sensing inhibitors to be measured using ultra-performance liquid chromatography coupled to mass spectrometry (UPLC-MS). This method is an improvement over existing methods because it can be employed to distinguish antimicrobial activity from quorum sensing inhibition activity based on the UPLC-MS data. This is possible by simultaneously tracking production of metabolites regulated by the agr quorum sensing system (AIP-I and formylated δ-toxin) and a metabolite that appears not to be agr regulated under the conditions of this study (aureusimine B). The newly developed method provides more nuanced indication of how metabolite production changes over time and in response to quorum sensing or growth inhibition than is possible with commonly employed spectroscopic methods.
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Affiliation(s)
- Derick D Jones
- Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA
| | - Lindsay K Caesar
- Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA
| | - Chantal V Pelzer
- Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA
| | - William J Crandall
- Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA
| | - Christian Jenul
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Daniel A Todd
- Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA
| | - Alexander R Horswill
- Department of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, CO, USA; Department of Veterans Affairs Eastern Colorado Health Care System, Aurora, CO, USA
| | - Nadja B Cech
- Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, Greensboro, NC, USA.
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17
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Shi Y, Gu R, Li Y, Wang X, Ren W, Li X, Wang L, Xie Y, Hong B. Exploring novel herbicidin analogues by transcriptional regulator overexpression and MS/MS molecular networking. Microb Cell Fact 2019; 18:175. [PMID: 31615513 PMCID: PMC6794829 DOI: 10.1186/s12934-019-1225-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Accepted: 10/01/2019] [Indexed: 11/10/2022] Open
Abstract
Background Herbicidin F has an undecose tricyclic furano-pyrano-pyran structure with post-decorations. It was detected from Streptomyces mobaraensis US-43 fermentation broth as a trace component by HPLC–MS analysis. As herbicidins exhibit herbicidal, antibacterial, antifungal and antiparasitic activities, we are attracted to explore more analogues for further development. Results The genome of S. mobaraensis US-43 was sequenced and a herbicidin biosynthetic gene cluster (hcd) was localized. The cluster contains structural genes, one transporter and three potential transcription regulatory genes. Overexpression of the three regulators respectively showed that only hcdR2 overexpression significantly improved the production of herbicidin F, and obviously increased the transcripts of 7 structural genes as well as the transporter gene. After performing homology searches using BLASTP in the GenBank database, 14 hcd-like clusters were found with a cluster-situated hcdR2 homologue. These HcdR2 orthologues showed overall structural similarity, especially in the C-terminal DNA binding domain. Based on bioinformatics analysis, a 21-bp consensus binding motif of HcdR2 was detected within 30 promoter regions in these genome-mined clusters. EMSA results verified that HcdR2 bound to the predicted consensus sequence. Additionally, we employed molecular networking to explore novel herbicidin analogues in hcdR2 overexpression strain. As a result, ten herbicidin analogues including six new compounds were identified based on MS/MS fragments. Herbicidin O was further purified and confirmed by 1H NMR spectrum. Conclusions A herbicidin biosynthetic gene cluster (hcd) was identified in S. mobaraensis US-43. HcdR2, a member of LuxR family, was identified as the pathway-specific positive regulator, and the production of herbicidin F was dramatically increased by overexpression of hcdR2. Combined with molecular networking, ten herbicidin congeners including six novel herbicidin analogues were picked out from the secondary metabolites of hcdR2 overexpression strain. The orthologues of herbicidin F pathway-specific regulator HcdR2 were present in most of the genome-mined homologous biosynthetic gene clusters, which possessed at least one consensus binding motif with LuxR family characteristic. These results indicated that the combination of overexpression of hcdR2 orthologous regulator and molecular networking might be an effective way to exploit the “cryptic” herbicidin-related biosynthetic gene clusters for discovery of novel herbicidin analogues.
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Affiliation(s)
- Yuanyuan Shi
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Tiantan Xili, Beijing, 100050, China.,CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Tiantan Xili, Beijing, 100050, China
| | - Renjie Gu
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Tiantan Xili, Beijing, 100050, China
| | - Yihong Li
- CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Tiantan Xili, Beijing, 100050, China
| | - Xinwei Wang
- CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Tiantan Xili, Beijing, 100050, China
| | - Weicong Ren
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Tiantan Xili, Beijing, 100050, China
| | - Xingxing Li
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Tiantan Xili, Beijing, 100050, China.,CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Tiantan Xili, Beijing, 100050, China
| | - Lifei Wang
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Tiantan Xili, Beijing, 100050, China.,CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Tiantan Xili, Beijing, 100050, China
| | - Yunying Xie
- CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Tiantan Xili, Beijing, 100050, China.
| | - Bin Hong
- NHC Key Laboratory of Biotechnology of Antibiotics, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Tiantan Xili, Beijing, 100050, China. .,CAMS Key Laboratory of Synthetic Biology for Drug Innovation, Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Tiantan Xili, Beijing, 100050, China.
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18
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Chemometrics: a complementary tool to guide the isolation of pharmacologically active natural products. Drug Discov Today 2019; 25:27-37. [PMID: 31600581 DOI: 10.1016/j.drudis.2019.09.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 09/13/2019] [Accepted: 09/24/2019] [Indexed: 12/19/2022]
Abstract
Chemometrics offers an important complementary tool to enhance the searching and isolation of bioactive natural products from natural sources.
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19
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Ory L, Nazih EH, Daoud S, Mocquard J, Bourjot M, Margueritte L, Delsuc MA, Bard JM, Pouchus YF, Bertrand S, Roullier C. Targeting bioactive compounds in natural extracts - Development of a comprehensive workflow combining chemical and biological data. Anal Chim Acta 2019; 1070:29-42. [DOI: 10.1016/j.aca.2019.04.038] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 03/19/2019] [Accepted: 04/18/2019] [Indexed: 02/07/2023]
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20
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Caesar LK, Nogo S, Naphen CN, Cech NB. Simplify: A Mass Spectrometry Metabolomics Approach to Identify Additives and Synergists from Complex Mixtures. Anal Chem 2019; 91:11297-11305. [PMID: 31365233 DOI: 10.1021/acs.analchem.9b02377] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
In fields ranging from environmental toxicology to drug discovery, it is critical to identify how multiple chemical compounds interact to perturb biological systems. Isolation-based approaches fail to incorporate multiconstituent interactions, such as synergy. We have developed an approach called "Simplify", which identifies mixture constituents that interact to achieve biological effects. Simplify combines biological and mass spectrometric data sets and uses an "activity index" to predict mixture interactions. Using the plant Salvia miltiorrhiza as a case study, we employed Simplify to identify four individual constituents that contribute to antimicrobial activity, three additives and one synergist. Our study is the first to enable identification of unknown synergists prior to isolating them, demonstrating the ability of the Simplify workflow to predict key contributors to the biological effect of a complex mixture. While utilized for natural products discovery in this study, this approach is expected to prove useful across multiple disciplines that rely on mixture analysis.
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Affiliation(s)
- Lindsay K Caesar
- Department of Chemistry and Biochemistry, Patricia A. Sullivan Science Building , University of North Carolina at Greensboro , Greensboro , North Carolina 27402 , United States
| | - Sabina Nogo
- Department of Chemistry and Biochemistry, Patricia A. Sullivan Science Building , University of North Carolina at Greensboro , Greensboro , North Carolina 27402 , United States
| | - Cassandra N Naphen
- Department of Chemistry and Biochemistry, Patricia A. Sullivan Science Building , University of North Carolina at Greensboro , Greensboro , North Carolina 27402 , United States
| | - Nadja B Cech
- Department of Chemistry and Biochemistry, Patricia A. Sullivan Science Building , University of North Carolina at Greensboro , Greensboro , North Carolina 27402 , United States
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21
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Kellogg JJ, Paine MF, McCune JS, Oberlies NH, Cech NB. Selection and characterization of botanical natural products for research studies: a NaPDI center recommended approach. Nat Prod Rep 2019; 36:1196-1221. [PMID: 30681109 PMCID: PMC6658353 DOI: 10.1039/c8np00065d] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Covering: up to the end of 2018 Dietary supplements, which include botanical (plant-based) natural products, constitute a multi-billion-dollar industry in the US. Regulation and quality control for this industry is an ongoing challenge. While there is general agreement that rigorous scientific studies are needed to evaluate the safety and efficacy of botanical natural products used by consumers, researchers conducting such studies face a unique set of challenges. Botanical natural products are inherently complex mixtures, with composition that differs depending on myriad factors including variability in genetics, cultivation conditions, and processing methods. Unfortunately, many studies of botanical natural products are carried out with poorly characterized study material, such that the results are irreproducible and difficult to interpret. This review provides recommended approaches for addressing the critical questions that researchers must address prior to in vitro or in vivo (including clinical) evaluation of botanical natural products. We describe selection and authentication of botanical material and identification of key biologically active compounds, and compare state-of-the-art methodologies such as untargeted metabolomics with more traditional targeted methods of characterization. The topics are chosen to be of maximal relevance to researchers, and are reviewed critically with commentary as to which approaches are most practical and useful and what common pitfalls should be avoided.
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Affiliation(s)
- Joshua J. Kellogg
- Department of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolina, USA.
| | - Mary F. Paine
- Department of Pharmaceutical Sciences, College of Pharmacy, Washington State University, Spokane, Washington, USA
| | - Jeannine S. McCune
- Department of Population Sciences, City of Hope, Duarte, California, USA
| | - Nicholas H. Oberlies
- Department of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolina, USA.
| | - Nadja B. Cech
- Department of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolina, USA.
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22
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Wyss KM, Llivina GC, Calderón AI. Biochemometrics and Required Tools in Botanical Natural Products Research: A Review. Comb Chem High Throughput Screen 2019; 22:290-306. [DOI: 10.2174/1386207322666190704094003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Revised: 04/12/2019] [Accepted: 05/15/2019] [Indexed: 11/22/2022]
Abstract
This review serves to highlight the role of chemometrics and biochemometrics in recent
literature as well as including a perspective on the current state of the field, as well as the future needs and
possible directions. Specifically examining the analytical methods and statistical tools that are available to
chemists, current applications of QTOF-MS, Orbitrap-MS, LC with PDA/UV detectors, NMR, and IMS
coupled MS are detailed. Of specific interest, these techniques can be applied to botanical dietary
supplement quality, efficacy, and safety. Application in natural products drug discovery, industrial quality
control, experimental design, and more are also discussed.
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Affiliation(s)
- Kevin M. Wyss
- Department of Drug Discovery and Development, Harrison School of Pharmacy, Auburn University, Auburn, AL 36849, United States
| | - Graham C. Llivina
- Department of Drug Discovery and Development, Harrison School of Pharmacy, Auburn University, Auburn, AL 36849, United States
| | - Angela I. Calderón
- Department of Drug Discovery and Development, Harrison School of Pharmacy, Auburn University, Auburn, AL 36849, United States
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Xanthoangelol Prevents Ox-LDL–Induced Endothelial Cell Injury by Activating Nrf2/ARE Signaling. J Cardiovasc Pharmacol 2019; 74:162-171. [DOI: 10.1097/fjc.0000000000000699] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Comprehensive TCM molecular networking based on MS/MS in silico spectra with integration of virtual screening and affinity MS screening for discovering functional ligands from natural herbs. Anal Bioanal Chem 2019; 411:5785-5797. [DOI: 10.1007/s00216-019-01962-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2019] [Revised: 05/29/2019] [Accepted: 06/04/2019] [Indexed: 12/15/2022]
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Caesar LK, Cech NB. Synergy and antagonism in natural product extracts: when 1 + 1 does not equal 2. Nat Prod Rep 2019; 36:869-888. [PMID: 31187844 PMCID: PMC6820002 DOI: 10.1039/c9np00011a] [Citation(s) in RCA: 351] [Impact Index Per Article: 70.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Covering: 2000 to 2019 According to a 2012 survey from the Centers for Disease Control and Prevention, approximately 18% of the U.S. population uses natural products (including plant-based or botanical preparations) for treatment or prevention of disease. The use of plant-based medicines is even more prevalent in developing countries, where for many they constitute the primary health care modality. Proponents of the medicinal use of natural product mixtures often claim that they are more effective than purified compounds due to beneficial "synergistic" interactions. A less-discussed phenomenon, antagonism, in which effects of active constituents are masked by other compounds in a complex mixture, also occurs in natural product mixtures. Synergy and antagonism are notoriously difficult to study in a rigorous fashion, particularly given that natural products chemistry research methodology is typically devoted to reducing complexity and identifying single active constituents for drug development. This report represents a critical review with commentary about the current state of the scientific literature as it relates to studying combination effects (including both synergy and antagonism) in natural product extracts. We provide particular emphasis on analytical and Big Data approaches for identifying synergistic or antagonistic combinations and elucidating the mechanisms that underlie their interactions. Specific case studies of botanicals in which synergistic interactions have been documented are also discussed. The topic of synergy is important given that consumer use of botanical natural products and associated safety concerns continue to garner attention by the public and the media. Guidance by the natural products community is needed to provide strategies for effective evaluation of safety and toxicity of botanical mixtures and to drive discovery in botanical natural product research.
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Affiliation(s)
- Lindsay K Caesar
- Department of Chemistry & Biochemistry, University of North Carolina at Greensboro, Greensboro, North Carolina, USA.
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Fox Ramos AE, Evanno L, Poupon E, Champy P, Beniddir MA. Natural products targeting strategies involving molecular networking: different manners, one goal. Nat Prod Rep 2019; 36:960-980. [PMID: 31140509 DOI: 10.1039/c9np00006b] [Citation(s) in RCA: 132] [Impact Index Per Article: 26.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Covering: up to 2019Landmark advances in bioinformatics tools have recently enhanced the field of natural products research, putting today's natural product chemists in the enviable position of being able to perform the efficient targeting/discovery of previously undescribed molecules by expediting the prioritization of the isolation workflow. Among these advances, MS/MS molecular networking has appeared as a promising approach to dereplicate complex natural product mixtures, leading to a real revolution in the "art of natural product isolation" by accelerating the pace of research of this field. This review illustrates through selected cornerstone studies the new thinking in natural product isolation by drawing a parallel between the different underlying philosophies behind the use of molecular networking in targeting natural products.
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Affiliation(s)
- Alexander E Fox Ramos
- Équipe "Pharmacognosie-Chimie des Substances Naturelles", BioCIS, Univ. Paris-Sud, CNRS, Université Paris-Saclay, 5 rue J.-B. Clément, 92290, Châtenay-Malabry, France.
| | - Laurent Evanno
- Équipe "Pharmacognosie-Chimie des Substances Naturelles", BioCIS, Univ. Paris-Sud, CNRS, Université Paris-Saclay, 5 rue J.-B. Clément, 92290, Châtenay-Malabry, France.
| | - Erwan Poupon
- Équipe "Pharmacognosie-Chimie des Substances Naturelles", BioCIS, Univ. Paris-Sud, CNRS, Université Paris-Saclay, 5 rue J.-B. Clément, 92290, Châtenay-Malabry, France.
| | - Pierre Champy
- Équipe "Pharmacognosie-Chimie des Substances Naturelles", BioCIS, Univ. Paris-Sud, CNRS, Université Paris-Saclay, 5 rue J.-B. Clément, 92290, Châtenay-Malabry, France.
| | - Mehdi A Beniddir
- Équipe "Pharmacognosie-Chimie des Substances Naturelles", BioCIS, Univ. Paris-Sud, CNRS, Université Paris-Saclay, 5 rue J.-B. Clément, 92290, Châtenay-Malabry, France.
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Caesar LK, Kellogg JJ, Kvalheim OM, Cech NB. Opportunities and Limitations for Untargeted Mass Spectrometry Metabolomics to Identify Biologically Active Constituents in Complex Natural Product Mixtures. JOURNAL OF NATURAL PRODUCTS 2019; 82:469-484. [PMID: 30844279 PMCID: PMC6837904 DOI: 10.1021/acs.jnatprod.9b00176] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Compounds derived from natural sources represent the majority of small-molecule drugs utilized today. Plants, owing to their complex biosynthetic pathways, are poised to synthesize diverse secondary metabolites that selectively target biological macromolecules. Despite the vast chemical landscape of botanicals, drug discovery programs from these sources have diminished due to the costly and time-consuming nature of standard practices and high rates of compound rediscovery. Untargeted metabolomics approaches that integrate biological and chemical data sets potentially enable the prediction of active constituents early in the fractionation process. However, data acquisition and data processing parameters may have major impacts on the success of models produced. Using an inactive botanical mixture spiked with known antimicrobial compounds, untargeted mass spectrometry-based metabolomics data were combined with bioactivity data to produce selectivity ratio models subjected to a variety of data acquisition and data processing parameters. Selectivity ratio models were used to identify active constituents that were intentionally added to the mixture, along with an additional antimicrobial compound, randainal (5), which was masked by the presence of antagonists in the mixture. These studies found that data-processing approaches, particularly data transformation and model simplification tools using a variance cutoff, had significant impacts on the models produced, either masking or enhancing the ability to detect active constituents in samples. The current study highlights the importance of the data processing step for obtaining reliable information from metabolomics models and demonstrates the strengths and limitations of selectivity ratio analysis to comprehensively assess complex botanical mixtures.
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Affiliation(s)
- Lindsay K. Caesar
- Department of Chemistry & Biochemistry, University of North Carolina Greensboro, Greensboro, NC 27402, United States
| | - Joshua J. Kellogg
- Department of Chemistry & Biochemistry, University of North Carolina Greensboro, Greensboro, NC 27402, United States
| | | | - Nadja B. Cech
- Department of Chemistry & Biochemistry, University of North Carolina Greensboro, Greensboro, NC 27402, United States
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Li Z, Zhang L, Gao M, Han M, Liu K, Zhang Z, Gong Z, Xing L, Shi X, Lu K, Gao H. Endoplasmic reticulum stress triggers Xanthoangelol-induced protective autophagy via activation of JNK/c-Jun Axis in hepatocellular carcinoma. JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH : CR 2019; 38:8. [PMID: 30621754 PMCID: PMC6325734 DOI: 10.1186/s13046-018-1012-z] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Accepted: 12/17/2018] [Indexed: 02/06/2023]
Abstract
Background Xanthoangelol (XAG) was reported to exhibit antitumor properties in several cancer. However, the specific anti-tumor activity of XAG in human hepatocellular carcinoma (HCC) and the relevant mechanisms are not known. Methods The effects of XAG on HCC cell proliferation and apoptosis were respectively examined by CCK-8 assay and Annexin V-FITC/PI apoptosis kit. Western blotting was conducted to detect the expression of proteins. The effect of XAG on the development of acidic vesicle organelles was assessed using acridine orange staining. mRFP-GFP-LC3 adenovirus was used to transfect HCC cells and the formation of autolysosome was detected using a confocal microscope. Results Mechanistically, XAG promotes HCC cell death through triggering intrinsic apoptosis pathway, not extrinsic apoptotic pathway. Furthermore, XAG treatment induced autophagy in Bel 7402 and SMMC 7721 cells, as evidenced by an increase in autophagy-associated proteins, including LC3B-II, Beclin-1, and Atg5. Interestingly, inhibition of autophagy with 3-MA, Bafilomycin A1 (Baf A1), or siRNA targeting Atg5 effectively enhanced the apoptotic cell ratio in XAG-treated cells, indicating that protective effect of autophagy induced by XAG in HCC. Moreover, autophagy induced by XAG was mediated by activating endoplasmic reticulum stress (ERS), along with administration of XAG, the expression levels of ERS-associated proteins, including CHOP, GRP78, ATF6, p-eIF2α, IRE1α, and cleaved caspase-12 were significantly increased in HCC cells. Meanwhile, suppressing ERS with chemical chaperones (TUDCA) or CHOP shRNA could effectively abrogate the autophagy-inducing effect of XAG, and increase the apoptotic cell death. Further mechanistic studies showed that ERS-induced autophagy in XAG-treated cells was mediated by activation of JNK/c-jun pathway. XAG treatment resulted in the increase of p-JNK and p-c-jun, while suppressing ERS with TUDCA or CHOP shRNA could effectively reverse it. Meanwhile, SP600125, a JNK inhibitor, effectively reversed XAG-induced protective autophagy and enhanced cell apoptosis in XAG-treated HCC cells. In vivo results demonstrated that XAG exerts potent antitumor properties with low toxicity. Conclusions Collectively, these results suggested that XAG could be served as a promising candidate for the treatment and prevention of HCC. Electronic supplementary material The online version of this article (10.1186/s13046-018-1012-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Zichao Li
- College of Life Sciences, Qingdao University, Qingdao, 266071, China
| | - Luying Zhang
- Department of Pharmacology, School of Pharmacy, Qingdao University, Qingdao, 266021, China
| | - Mingquan Gao
- The Affiliated Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610041, Sichuan, China
| | - Mei Han
- Department of Pharmacology, School of Pharmacy, Qingdao University, Qingdao, 266021, China
| | - Kaili Liu
- Department of Pharmacology, School of Pharmacy, Qingdao University, Qingdao, 266021, China
| | - Zhuang Zhang
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, College of Biotechnology, Tianjin University of Science & Technology, Tianjin, 300457, China
| | - Zhi Gong
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, College of Biotechnology, Tianjin University of Science & Technology, Tianjin, 300457, China
| | - Lifei Xing
- Department of Pharmacology, School of Pharmacy, Qingdao University, Qingdao, 266021, China
| | - Xianzhou Shi
- Northeast Yucai Bilingual School, Shenyang, 110164, China
| | - Kui Lu
- China International Science and Technology Cooperation Base of Food Nutrition/Safety and Medicinal Chemistry, College of Biotechnology, Tianjin University of Science & Technology, Tianjin, 300457, China.
| | - Hui Gao
- Department of Pharmacology, School of Pharmacy, Qingdao University, Qingdao, 266021, China.
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