| Literature DB >> 29789647 |
Eitaro Matsumura1, Akira Nakagawa1, Yusuke Tomabechi2, Shinichi Ikushiro3, Toshiyuki Sakaki3, Takane Katayama4, Kenji Yamamoto1, Hidehiko Kumagai1, Fumihiko Sato4, Hiromichi Minami5.
Abstract
Natural products from plants are useful as lead compounds in drug discovery. Plant benzylisoquinoline alkaloids (BIAs) exhibit various pharmaceutical activities. Although unidentified BIAs are expected to be of medicinal value, sufficient quantities of such BIAs, for biological assays, are sometimes difficult to obtain due to their low content in natural sources. Here, we showed that high productivity of BIAs in engineered Escherichia coli could be exploited for drug discovery. First, we improved upon the previous microbial production system producing (S)-reticuline, an important BIA intermediate, to obtain yields of around 160 mg/L, which was 4-fold higher than those of the previously reported highest production system. Subsequently, we synthesised non-natural BIAs (O-sulphated (S)-reticulines) by introducing human sulphotransferases into the improved (S)-reticuline production system. Analysis of human primary cells treated with these BIAs demonstrated that they affected a biomarker expression in a manner different from that by the parent compound (S)-reticuline, suggesting that simple side-chain modification altered the characteristic traits of BIA. These results indicated that highly productive microbial systems might facilitate the production of scarce or novel BIAs and enable subsequent evaluation of their biological activities. The system developed here could be applied to other rare natural products and might contribute to the drug-discovery process as a next-generation strategy.Entities:
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Year: 2018 PMID: 29789647 PMCID: PMC5964154 DOI: 10.1038/s41598-018-26306-7
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Alternative platform for benzylisoquinoline alkaloid (BIA) biosynthesis in Escherichia coli. (a) Biosynthetic platform for BIAs in E. coli. Bold arrows indicate the modified reactions. The colour codes are as follows: blue, inherent enzymes; red, heterologous enzymes. The pink- and yellow-shaded zones indicate the artificial pathway for BIA synthesis and for de novo BH4 synthesis, respectively. Abbreviations of the compounds and enzymes are as follows: G6P, d-glucose 6-phosphate; F6P, d-fructose 6-phosphate; RL5P, d-ribulose 5-phosphate; R5P, d-ribose 5-phosphate; X5P, d-xylose 5-phosphate; E4P, d-erythrose 4-phosphate; S7P, d-sedoheptulose 7-phosphate; G3P, d-glyceraldehyde 3-phosphate; PEP, phosphoenolpyruvate; PYR, pyruvate; DAHP, 3-deoxy-d-arabino-heptulosonate-7-phosphate; SHK, shikimate; PRE, prephenate; H2-NPt-P3, 7,8-dihydroneopterin triphosphate; P-H4-Pt, 6-pyruvoyltetrahydropterin; BH4, tetrahydrobiopterin; 4a-H-BH4, 4a-hydroxytetrahydrobiopterin; TyrAfbr, chorismate mutase-prephenate dehydrogenase (feedback-resistant); AroGfbr, 2-dehydro-3-deoxyphosphoheptonate aldolase; TktA, transketolase; PpsA, phosphoenolpyruvate synthetase; dTH2, tyrosine hydroxylase; RsTYR, tyrosinase; DODC, l-DOPA decarboxylase; MAO, monoamine oxidase; 6OMT, norcoclaurine 6-O-methyltransferase; 4′OMT, 3′-hydroxy-N-methyl-(S)-coclaurine 4′-O-methyltransferase; CNMT, coclaurine N-methyltransferase; BsMtrA, GTP cyclohydrolases I; ratPTPS, 6-pyruvoyltetrahydropterin synthase; and ratSPR, sepiapterin reductase. (b) Fermentative production of (S)-reticuline with strain EM353 in a jar fermenter. (S)-Reticuline was obtained from seven independent experiments; in three experiments, production was analysed at 24–96 h and in four experiments at 72–144 h. Error bars represent SD.
Figure 2Production of (S)-reticuline O-sulphates. (a) LC-MS analyses of the products of hSULT-expressing Escherichia coli with (S)-reticuline. Sulphated O-(S)-reticulines were analysed by mass spectrometry in negative ionization mode (m/z = 408). (b) Scheme of (S)-reticuline O-sulphate production with hSULTs. (c) Fermentative production of (S)-reticuline 3′-O-sulphate in a jar fermenter.
Figure 3Effect of (S)-reticuline sulphation on biomarker expression in a human primary cell-based assay. (a) Venn diagram of overlapping bioactivities of (S)-reticuline and (S)-reticuline O-sulphates on 140 biomarkers from the BioMAP system (Supplementary Table S4). (b–d) Examples of biomarkers affected by all three BIAs with the same tendency, including inflammation-related (b), immunomodulatory (c), and tissue-remodelling-related (d) biomarkers. (e) Examples of significant biomarkers changed in a sulphation-specific manner. The parentheses indicate the BioMAP system used for respective biomarker readouts: LPS, cardiovascular disease; /Mphg, cardiovascular disease; HDF3CGF, fibrosis; BE3C, lung disease; BF4T, asthma and allergy; and CASM3C, restenosis model systems. Abbreviations of the biomarkers are as follows: IL1A, iterleukin-1α; sTNF-α, soluble tumour necrosis factor-α; CSF1, macrophage colony-stimulating factor; sIL10, soluble iterleukin-10; MMP1, matrix metalloproteinase-1; MMP9, matrix metalloproteinase-9; PAI-I, plasminogen-activator inhibitor-1; PLAT, tissue plasminogen activator; sPGE2, soluble prostaglandin E2; and ICAM1, intercellular-adhesion molecule-1. The Y-axis shows the log10 expression ratios of the readout relative to the dimethyl sulfoxide control. The grey zone indicates the threshold of each biomarker.
Figure 4Drug-candidate properties of sulphated (S)-reticulines. (a) The Alzheimer’s disease-related biomarker intercellular adhesion molecule-1 (ICAM1) expression in the bronchial disease model BF4T treated with (S)-reticuline 7-O-sulphate. (b) A biomarker, tissue inhibitor of metalloproteinase (TIMP1), involving a non-steroidal anti-inflammatory drug in the fibrosis disease model MyoF treated with (S)-reticuline 3′-O-sulphate.