Immunomodulatory activity of Alaska pollock hydrolysates obtained by glutamic acid biosensor – Artificial neural network and the identification of its active central fragment

• Published in: Journal of Functional Foods
• Main Authors: Hu Hou, Yan Fan, Shikai Wang, Leilei Si, Bafang Li
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2016
• Subjects: Hydrolysates; Immunomodulatory peptide; Purification; Amino acid sequence; Enzymatic hydrolysis; Nutrition. Foods and food supply; TX341-641; alaska pollock; Alaska
• Online Access: https://doi.org/10.1016/j.jff.2016.03.033; https://doaj.org/article/cf50e6741c904c9eb6763e20590c3bb9

The glutamic acid biosensor and artificial neural network (GLU-ANN) was employed to monitor the hydrolysis of Alaska pollock protein for production of immunomodulatory peptides. The relative error of GLU-ANN was in the range of 0.23% to 2.81%. The target pollock hydrolysates (PFH) were prepared using GLU-ANN, which significantly enhanced humoral, cellular, and non-specific immunity in immunosuppressed mice, induced by hydrogenated cortisone (p < 0.05). In addition, treatment with PFH significantly increased the production of interleukin (IL)-2, IL-4, and IL-6 in immunosuppressed mice (p < 0.05), while interferon-gamma (IFN-γ) showed no significant change. The active central fragment that exhibited the highest lymphocyte proliferation rates was further purified using ion exchange chromatography, gel filtration chromatography, and reversed-phase high performance liquid chromatography (RP-HPLC). The amino acid sequence of this fragment was as follows: Pro-Thr-Gly-Ala-Asp-Tyr (PTGADY). Therefore, PFH shows promise as a potent immunomodulator with potential applications in functional food.