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Article Open Access

Metabolomics analysis of gut metabolites in patients with colorectal polyps and in healthy individuals

  • Authors:
    • Dayi Deng
    • Yurong Yao
    • Huayu Zhang
    • Hui Song
    • Yufeng Xia
    • Houming Wang
    • Lin Zhao
    • Zhaoping Guo
    • Yifeng Jin
  • View Affiliations / Copyright

    Affiliations: Department of Surgery, Shanghai Jiading District Hospital of Traditional Chinese Medicine, Shanghai 201800, P.R. China, Department of Infectious Diseases, Jingan District Center Hospital of Shanghai, Shanghai 200040, P.R. China, Department of Spleen and Stomach Diseases, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai 200071, P.R. China
    Copyright: © Deng et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 195
    |
    Published online on: August 12, 2025
       https://doi.org/10.3892/etm.2025.12945
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Abstract

The aim of the present study was to characterize the metabolomic signatures associated with colorectal polyps (CPs) in the gut. A metabolomics analysis was conducted on fecal samples collected from patients diagnosed with CPs as well as from healthy participants. A total of 60 participants were selected for analysis, including 30 patients diagnosed with CPs (CP group) and 30 healthy individuals serving as controls [healthy control (HC) group]. Fecal metabolomes were analyzed using ultra‑high performance liquid chromatography and mass spectrometry. Metabolomics analyses revealed a higher abundance of phosphatidylcholine (PC; 16:0/18:2) in the CP group compared with that in the HC group. By contrast, 6‑keto‑decanoylcarnitine, trimethadione, aalsolinol‑1‑carboxylic acid, histidyl‑proline, norethindrone, gibberellin A12 aldehyde, 6‑isopentenyladenine‑9‑β‑D‑glucopyranoside, prostaglandin E2, yucalexin B5 and 5,6‑dihydroxyprostaglandin F1a were less abundant in the CP group. Moreover, the CP group showed significant Kyoto Encyclopedia of Genes and Genomes pathway alterations compared with the HC group, involving ‘neuroactive ligand‑receptor interaction’, ‘aminoacyl‑tRNA biosynthesis’, ‘central carbon metabolism in cancer’, and ‘phenylalanine, tyrosine and tryptophan biosynthesis’. Notably, PC (16:0/18:2) and prostaglandin A1 could predict CPs, with an area under the curve of 1. The current study showed that fecal metabolites can be used for non‑invasive diagnosis of CPs. Moreover, the findings of the present study suggested significant involvement of the aminoacyl‑tRNA and aromatic amino acid metabolomic pathways in the development of CPs.
View Figures

Figure 1

PLS-DA and OPLS-DA demonstrating the
separation of patients with CPs and healthy individuals. (A) PLS-DA
for CPs and HCs. (B) OPLS-DA analysis for CPs and HCs. t1 and t2
denote the first and second components, respectively. R2 is the
percentage of the variance explained by the model. R2X and R2Y
represent the explanatory power of the model for the X matrix and
the Y matrix, respectively. Q2 is a measure of predictive ability.
CP, colorectal polyp; HC, healthy control; PLS-DA, partial least
squares-discriminant analysis; OPLS-DA, orthogonal partial least
squares-discriminant analysis.

Figure 2

Investigation of gut
microbiome-associated fecal metabolites that are significantly
altered in patients with CPs by fecal metabolome analyses. (A) Top
30 differentially abundant metabolites identified with VIP >1
and P<0.05. Red circles denote metabolites that are less
abundant in the CP group compared with in the HC group; blue
circles denote metabolites that are more abundant in the CP group
compared with in the HC group. (B) Hierarchical clustering heatmap
showing altered metabolites between the CP group (green) and the HC
group (blue). The rows display the metabolites, and the columns
display the samples. CP, colorectal polyp; HC, healthy control;
VIP, variable influence on projection.

Figure 3

Metabolomic pathway enrichment
analysis of significantly altered metabolites between the
colorectal polyp group and the healthy control group.

Figure 4

Receiver operating characteristic
analysis of the metabolite markers discriminating the colorectal
polyp group from the healthy control group. AUC, area under the
curve.
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Copy and paste a formatted citation
Spandidos Publications style
Deng D, Yao Y, Zhang H, Song H, Xia Y, Wang H, Zhao L, Guo Z and Jin Y: Metabolomics analysis of gut metabolites in patients with colorectal polyps and in healthy individuals. Exp Ther Med 30: 195, 2025.
APA
Deng, D., Yao, Y., Zhang, H., Song, H., Xia, Y., Wang, H. ... Jin, Y. (2025). Metabolomics analysis of gut metabolites in patients with colorectal polyps and in healthy individuals. Experimental and Therapeutic Medicine, 30, 195. https://doi.org/10.3892/etm.2025.12945
MLA
Deng, D., Yao, Y., Zhang, H., Song, H., Xia, Y., Wang, H., Zhao, L., Guo, Z., Jin, Y."Metabolomics analysis of gut metabolites in patients with colorectal polyps and in healthy individuals". Experimental and Therapeutic Medicine 30.4 (2025): 195.
Chicago
Deng, D., Yao, Y., Zhang, H., Song, H., Xia, Y., Wang, H., Zhao, L., Guo, Z., Jin, Y."Metabolomics analysis of gut metabolites in patients with colorectal polyps and in healthy individuals". Experimental and Therapeutic Medicine 30, no. 4 (2025): 195. https://doi.org/10.3892/etm.2025.12945
Copy and paste a formatted citation
x
Spandidos Publications style
Deng D, Yao Y, Zhang H, Song H, Xia Y, Wang H, Zhao L, Guo Z and Jin Y: Metabolomics analysis of gut metabolites in patients with colorectal polyps and in healthy individuals. Exp Ther Med 30: 195, 2025.
APA
Deng, D., Yao, Y., Zhang, H., Song, H., Xia, Y., Wang, H. ... Jin, Y. (2025). Metabolomics analysis of gut metabolites in patients with colorectal polyps and in healthy individuals. Experimental and Therapeutic Medicine, 30, 195. https://doi.org/10.3892/etm.2025.12945
MLA
Deng, D., Yao, Y., Zhang, H., Song, H., Xia, Y., Wang, H., Zhao, L., Guo, Z., Jin, Y."Metabolomics analysis of gut metabolites in patients with colorectal polyps and in healthy individuals". Experimental and Therapeutic Medicine 30.4 (2025): 195.
Chicago
Deng, D., Yao, Y., Zhang, H., Song, H., Xia, Y., Wang, H., Zhao, L., Guo, Z., Jin, Y."Metabolomics analysis of gut metabolites in patients with colorectal polyps and in healthy individuals". Experimental and Therapeutic Medicine 30, no. 4 (2025): 195. https://doi.org/10.3892/etm.2025.12945
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