journal article·2025-03Open access

Multiple Enzymes Expressed by the Gut Microbiota Can Transform Typhaneoside and Are Associated with Improving Hyperlipidemia

Hui Xu, Ru Feng, Meng‐Liang Ye, Jia‐Chun Hu, Jin‐Yue Lu, Jing‐Yue Wang, Heng‐Tong Zuo, Yi Zhao, Jian‐Ye Song, Jian‐Dong Jiang, Yun‐Zhi Zhou, Yan Wang

Advanced Science· Volume 12· Issue 10

Abstract

Abstract The mechanism of multiple enzymes mediated drug metabolism in gut microbiota is still unclear. This study explores multiple enzyme interaction process of typhactyloside (TYP) with gut microbiota and its lipid‐lowering pharmacological activity. TYP, with bioavailability of only 2.78%, is an active component of Typha angustifolia L. and Pushen capsules which is clinically treated for hyperlipidemia. The metabolic process of TYP is identified, and key enzymes involved in TYP metabolism are validated through gene knockout and overexpression techniques. Through overexpressing α‐rhamnosidase (Rha) in Escherichia coli, TYP is verified to metabolize into isorhamnetin‐3‐O‐neohesperidin (M1) and isorhamnetin‐3‐O‐glucoside (M2) after removing rhamnose through Rha. Besides, knockout of β‐glucosidase (Glu) confirms that TYP generates M3 through Glu after removing glucose. Combined with molecular docking, M3 is transformed to generate 3,4‐dihydroxyphenylacetic acid (M4), protocatechuic acid (M5), and 3‐hydroxyphenylacetic acid (M6) through flavonoid reductase (Flr) and chalcone isomerase (Chi). In conclusion, multiple enzymes involved in TYP metabolism (Rha/Glu→Flr→Chi) are identified. Through in vivo experiments, combined use of M3 and M5 also shows excellent anti‐hyperlipidemia efficacy. This is the first study on complex metabolism mechanism and pharmacological activity of natural flavonoids mediated by multiple enzymes, which provide insight to investigate analogous natural products.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Ginger and Zingiberaceae research · Phytochemical compounds biological activities · Ginseng Biological Effects and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Bioactive Substance and Function of Natural Medicines Institute of Materia Medica Chinese Academy of Medical Sciences/Peking Union Medical College Beijing 100050 China

Emergency General Hospital National Research Center for Emergency Medicine Beijing 100028 China

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China

References (84)

Show source-provided references
1. 10.1016/j.jep.2020.11359110.1016/j.jep.2020.113591 ↗
2. 10.1016/j.carbpol.2022.12045210.1016/j.carbpol.2022.120452 ↗
3. 10.2174/138620732566622041809531610.2174/1386207325666220418095316 ↗
4. 10.1155/2020/159435010.1155/2020/1594350 ↗
5. 10.1142/S0192415X1000823810.1142/S0192415X10008238 ↗
6. 10.1002/bmc.107010.1002/bmc.1070 ↗
7. 10.1021/acsnano.3c0210210.1021/acsnano.3c02102 ↗
8. 10.1080/13880209.2017.130081810.1080/13880209.2017.1300818 ↗
9. 10.1186/s40168-023-01722-810.1186/s40168-023-01722-8 ↗
10. 10.1021/acs.chemrestox.0c0044610.1021/acs.chemrestox.0c00446 ↗
11. 10.1007/s00059-019-4819-210.1007/s00059-019-4819-2 ↗
12. 10.1016/j.biopha.2023.11495710.1016/j.biopha.2023.114957 ↗
13. 10.1016/j.bbrc.2019.06.07010.1016/j.bbrc.2019.06.070 ↗
14. 10.1038/s41392-022-01027-610.1038/s41392-022-01027-6 ↗
15. 10.1016/j.chom.2018.05.00310.1016/j.chom.2018.05.003 ↗
16. 10.1161/CIRCRESAHA.120.31624210.1161/CIRCRESAHA.120.316242 ↗
17. 10.1016/S2666-5247(22)00184-710.1016/S2666-5247(22)00184-7 ↗
18. 10.1136/gutjnl-2021-32678910.1136/gutjnl-2021-326789 ↗
19. 10.1080/19490976.2023.220116010.1080/19490976.2023.2201160 ↗
20. 10.1016/j.mib.2020.05.00610.1016/j.mib.2020.05.006 ↗
21. 10.1002/advs.20220556310.1002/advs.202205563 ↗
22. 10.1038/s41586-022-04985-710.1038/s41586-022-04985-7 ↗
23. 10.1038/s41564-021-01054-z10.1038/s41564-021-01054-z ↗
24. 10.1080/19490976.2024.238232410.1080/19490976.2024.2382324 ↗
25. 10.1016/j.xcrm.2024.10154310.1016/j.xcrm.2024.101543 ↗
26. 10.1126/sciadv.adj907510.1126/sciadv.adj9075 ↗
27. 10.1126/science.aba368310.1126/science.aba3683 ↗
28. 10.1016/j.phrs.2023.10703310.1016/j.phrs.2023.107033 ↗
29. 10.1038/s41467-021-25081-w10.1038/s41467-021-25081-w ↗
30. 10.1002/mds.2906310.1002/mds.29063 ↗
31. 10.1016/j.phymed.2023.15484110.1016/j.phymed.2023.154841 ↗
32. 10.1080/03602532.2020.171869110.1080/03602532.2020.1718691 ↗
33. 10.1038/s41467-019-12896-x10.1038/s41467-019-12896-x ↗
34. 10.1021/acs.jafc.9b0504610.1021/acs.jafc.9b05046 ↗
35. 10.1093/chromsci/bmw17610.1093/chromsci/bmw176 ↗
36. 10.1016/j.ejps.2024.10675910.1016/j.ejps.2024.106759 ↗
37. 10.1038/s41467-021-20974-210.1038/s41467-021-20974-2 ↗
38. 10.1002/anie.20130695210.1002/anie.201306952 ↗
39. 10.1016/j.celrep.2018.12.02810.1016/j.celrep.2018.12.028 ↗
40. Fan Y. · Microbiol. Spectrum · 2023 · 1110.1128/spectrum.03616-22 ↗
41. 10.1016/j.phrs.2022.10636710.1016/j.phrs.2022.106367 ↗
42. 10.1021/acs.jafc.3c0637010.1021/acs.jafc.3c06370 ↗
43. 10.1016/j.jchromb.2019.12179110.1016/j.jchromb.2019.121791 ↗
44. 10.1016/j.chmed.2022.03.00110.1016/j.chmed.2022.03.001 ↗
45. 10.1016/j.jep.2016.07.01910.1016/j.jep.2016.07.019 ↗
46. 10.1073/pnas.220816811910.1073/pnas.2208168119 ↗
47. 10.1073/pnas.170113011410.1073/pnas.1701130114 ↗
48. 10.3389/fmicb.2022.95637810.3389/fmicb.2022.956378 ↗
49. 10.1016/j.metabol.2017.02.00310.1016/j.metabol.2017.02.003 ↗
50. 10.1007/s11130-012-0280-610.1007/s11130-012-0280-6 ↗
51. 10.1002/bmc.502610.1002/bmc.5026 ↗
52. 10.1038/s41598-022-11139-210.1038/s41598-022-11139-2 ↗
53. 10.1016/j.jep.2020.11338010.1016/j.jep.2020.113380 ↗
54. 10.1016/j.jep.2019.11252310.1016/j.jep.2019.112523 ↗
55. 10.1016/j.jep.2022.11574610.1016/j.jep.2022.115746 ↗
56. 10.3892/etm.2017.416510.3892/etm.2017.4165 ↗
57. 10.12659/MSM.90753010.12659/MSM.907530 ↗
58. 10.1021/jf402664710.1021/jf4026647 ↗
59. 10.3390/nu1006071310.3390/nu10060713 ↗
60. 10.1016/j.phymed.2023.15466410.1016/j.phymed.2023.154664 ↗
61. 10.1016/j.foodchem.2021.13185610.1016/j.foodchem.2021.131856 ↗
62. 10.1016/j.chroma.2021.46275410.1016/j.chroma.2021.462754 ↗
63. 10.1016/j.cbi.2019.10873410.1016/j.cbi.2019.108734 ↗
64. 10.3389/fphar.2022.86036210.3389/fphar.2022.860362 ↗
65. 10.3390/molecules2716519110.3390/molecules27165191 ↗
66. 10.3390/ijms2401029910.3390/ijms24010299 ↗
67. 10.1080/01480545.2022.206925610.1080/01480545.2022.2069256 ↗
68. 10.1016/j.jep.2022.11596510.1016/j.jep.2022.115965 ↗
69. 10.1055/a-1792-267810.1055/a-1792-2678 ↗
70. 10.1080/08923973.2022.205289210.1080/08923973.2022.2052892 ↗
71. 10.1016/j.phrs.2020.10510910.1016/j.phrs.2020.105109 ↗
72. 10.3390/ijms2303176210.3390/ijms23031762 ↗
73. 10.1080/10715762.2022.215982010.1080/10715762.2022.2159820 ↗
74. 10.3748/wjg.v27.i38.643010.3748/wjg.v27.i38.6430 ↗
75. 10.2147/NDT.S29983510.2147/NDT.S299835 ↗
76. 10.1016/j.lfs.2022.12074210.1016/j.lfs.2022.120742 ↗
77. 10.1016/j.tim.2022.08.00310.1016/j.tim.2022.08.003 ↗
78. 10.1128/spectrum.02517-2210.1128/spectrum.02517-22 ↗
79. 10.1038/s42255-022-00649-y10.1038/s42255-022-00649-y ↗
80. 10.1080/19490976.2023.222804510.1080/19490976.2023.2228045 ↗
81. 10.1038/s41467-023-42788-010.1038/s41467-023-42788-0 ↗
82. 10.1016/j.jare.2022.10.01010.1016/j.jare.2022.10.010 ↗
83. 10.1016/j.cell.2020.05.00110.1016/j.cell.2020.05.001 ↗
84. 10.1007/s13205-018-1139-910.1007/s13205-018-1139-9 ↗