Serum metabolic effects of corn oligopeptides with 7-day supplementation on early post-surgery primary liver cancer patients: a double-blind randomized controlled trial

Weiqi Rong, Hui Xia, Kai Zhang, Yihan Zhang, Changcheng Tao, Fan Wu, Liming Wang, Hong Zhang, Guiju Sun, Jianxiong Wu, Weiqi Rong, Hui Xia, Kai Zhang, Yihan Zhang, Changcheng Tao, Fan Wu, Liming Wang, Hong Zhang, Guiju Sun, Jianxiong Wu

Abstract

Background: Liver cancer as the main leading cancer has caused heavy burdens globally. The prognosis of liver cancer is closely related with postoperative nutrition support. Corn oligopeptides (COPs) are protein hydrolysates produced by enzymatic treatments, which have shown potential bioactivities, such as inhibiting angiotensin I-converting enzyme, resisting lipid peroxidation and anti-oxidant. However, the correlation between COPs and liver cancer patients is still unknown and the potential mechanism of COPs on liver cancer is unclear as well. The aim of this study was to assess effects of 7-day intervention of COPs after surgery on liver function and serum metabolic profiles of liver cancer patients.

Methods: Patients were assigned into COPs intervention group (n=50) and control group (n=91) for 7 days. Investigations were scheduled at 1st day and 7th day after liver resection surgery respectively, mainly including anthropometric, biochemical indexes and liquid chromatography-mass spectrometry (LC/MS) analysis.

Results: Seven-day supplementation of COPs on early post-surgery liver cancer patients down-regulated levels of alanine aminotransferase, aspartate aminotransferase, total bilirubin, direct bilirubin and up-regulated prothrombin time activity and prealbumin levels. LC/MS analysis revealed metabolic signatures including regulation of 16 metabolites, which was closely related with two metabolic pathways (nicotinate and nicotinamide metabolism, fatty acid metabolism).

Conclusions: COPs supplementation has displayed the potentials on alleviating the injury of liver function and it may be due to regulation of fatty acid metabolism, nicotinate and nicotinamide metabolism, lipid peroxidation and anti-inflammatory action. More researches are warranted in future to confirm the exact mechanisms.

Keywords: Liver cancer; corn oligopeptides supplementation; metabolomics; randomized controlled trial.

Conflict of interest statement

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://hbsn.amegroups.com/article/view/10.21037/hbsn-21-116/coif). The authors report support from National Key Research and Development Program of China (No. 2016YFD0400604) and have no other conflicts of interest to declare.

2022 Hepatobiliary Surgery and Nutrition. All rights reserved.

Figures

Figure 1
Figure 1
Participant flow throughout the study. TI, corn oligopeptides intervention group; CI, control group.
Figure 2
Figure 2
COPs intervention in patients affects the serum metabolome. The PCA score plots of total serum samples. TGBSS, treatment group before surgery in serum; CGBSS, control group before surgery in serum; TGASS, treatment group after surgery for 7 days in serum; CGASS, control group after surgery for 7 days in serum; QC, quality control; COPs, corn oligopeptides; PCA, principal component analysis.
Figure 3
Figure 3
COPs intervention in patients affects the serum metabolome. The PCA (left) and OPLS-DA (right) score plots of serum. TGBSS, treatment group before surgery in serum; CGBSS, control group before surgery in serum; TGASS, treatment group after surgery for 7 days in serum; CGASS, control group after surgery for 7 days in serum; QC, quality control; COPs, corn oligopeptides; PCA, principal component analysis; OPLS-DA, orthogonal projections to latent structures-discriminant analysis.
Figure 4
Figure 4
COPs intervention in patients affects the serum metabolome. Permutation test charts for OPLS-DA model of serum samples between TA and CA. TA, treatment group after surgery for 7 days in serum; CA, control group after surgery for 7 days in serum; COPs, corn oligopeptides; OPLS-DA, orthogonal projections to latent structures-discriminant analysis.
Figure 5
Figure 5
Pathway impact prediction of KEGG online database between TA and CA. The results of metabolic pathway analysis are presented in bubble diagram. The P value of enrichment analysis [negative natural logarithm, i.e., -ln(P)] positively correlated with the bubble color depth. TA, treatment group after surgery for 7 days in serum; CA, control group after surgery for 7 days in serum; KEGG, Kyoto Encyclopedia of Genes and Genomes.
Figure 6
Figure 6
Correlation analysis between metabolites and serum indexes. Red (corr =1), blue (corr =−1), white (corr =0) and, * represents a significant correlation (P

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