Back

Daikenchuto modulates gut microbial metabolism to mitigate irinotecan-induced enterotoxicity

Xu, Y.; Liang, R.; Xia, P.; Luo, S.; Jiang, B.; Wang, A.; Liang, K.; Wang, Y.; Jing, W.; Wang, S.

2026-05-27 pharmacology and toxicology
10.64898/2026.05.22.727323 bioRxiv
Show abstract

Gut microbiota metabolic remodeling is a pivotal determinant in irinotecan-induced enterotoxicity and epithelial damage, although the underlying mechanisms remain unclear. Herein, we discovered that Daikenchuto (DKT), a traditional Chinese prescription for intestinal disorders, alleviated irinotecan-induced enterotoxicity without compromising its anti-tumor efficacy by improving weight loss, diarrhea, intestinal inflammation, and barrier damage, and these effects were partially dependent on gut microbiota. DKT significantly restored microbial tryptophan metabolism in irinotecan-treated rats, which was characterized by the enrichment of Limosilactobacillus reuteri, and elevated levels of indole-3-ethanol (IE) and indole-3-propionic acid (IPA). Multi-omics analysis further revealed a positive correlation between L. reuteri and IE and IPA. Consistent with this, DKT promoted L. reuteri proliferation, leading to the conversion of tryptophan to IE and IPA, which improved epithelial barrier damage in the irinotecan-treated Caco-2 cells. In addition, DKT suppressed the growth of Loop 1 {beta}-glucuronidase ({beta}-GUS)-producing bacteria, such as Escherichia coli. Furthermore, the main constituents of DKT selectively inhibited Loop 1 {beta}-GUS activity independent of the gut microbiota, which reduced the intra-luminal level of 7-ethyl-10-hydroxycamptothecin, the toxic metabolite of irinotecan. Taken together, this study reveals a dual gut microbiota-driven mechanism by which DKT mitigates irinotecan-induced enterotoxicity, which provides a promising strategy for managing chemotherapy-related enterotoxicity.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Advanced Science
249 papers in training set
Top 0.3%
18.9%
2
Signal Transduction and Targeted Therapy
29 papers in training set
Top 0.1%
10.2%
3
eLife
5422 papers in training set
Top 10%
7.3%
4
Experimental & Molecular Medicine
14 papers in training set
Top 0.1%
4.4%
5
Clinical and Translational Medicine
30 papers in training set
Top 0.1%
4.0%
6
Acta Pharmaceutica Sinica B
11 papers in training set
Top 0.1%
3.7%
7
Nature Communications
4913 papers in training set
Top 40%
3.6%
50% of probability mass above
8
Acta Biochimica et Biophysica Sinica
19 papers in training set
Top 0.1%
3.1%
9
Journal of Agricultural and Food Chemistry
14 papers in training set
Top 0.3%
3.1%
10
Protein & Cell
25 papers in training set
Top 0.8%
2.6%
11
Cell Discovery
54 papers in training set
Top 2%
2.1%
12
National Science Review
22 papers in training set
Top 0.9%
1.7%
13
Genomics, Proteomics & Bioinformatics
171 papers in training set
Top 4%
1.3%
14
Cancer Letters
32 papers in training set
Top 0.3%
1.3%
15
eBioMedicine
130 papers in training set
Top 3%
1.0%
16
Biomedicine & Pharmacotherapy
43 papers in training set
Top 0.7%
1.0%
17
Science China Life Sciences
26 papers in training set
Top 2%
0.9%
18
PLOS ONE
4510 papers in training set
Top 63%
0.9%
19
Science of The Total Environment
179 papers in training set
Top 4%
0.9%
20
Angewandte Chemie International Edition
81 papers in training set
Top 3%
0.8%
21
iScience
1063 papers in training set
Top 28%
0.8%
22
Cell Chemical Biology
81 papers in training set
Top 3%
0.8%
23
Scientific Reports
3102 papers in training set
Top 74%
0.8%
24
Redox Biology
64 papers in training set
Top 1%
0.7%
25
Communications Biology
886 papers in training set
Top 28%
0.7%
26
Cell Death Discovery
51 papers in training set
Top 2%
0.7%
27
Science Advances
1098 papers in training set
Top 35%
0.5%
28
Journal of the American Chemical Society
199 papers in training set
Top 6%
0.5%
29
Molecular Therapy
71 papers in training set
Top 4%
0.5%
30
ACS Pharmacology & Translational Science
40 papers in training set
Top 1%
0.5%