PDF (6.8 MB)
Collect
Submit Manuscript
Open Access

Identification and the molecular mechanism of novel duck liver-derived anti-inflammatory peptides in lipopolysaccharide-induced RAW264.7 cell model

Xiankang Fana,b,1Laidi Zhanga,b,1Yangying Suna,bChangyu Zhoua,bQiang Xiaa,bLihui Dua,bZhen Wua ()Daodong Pana,b()
State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo University, Ningbo 315211, China
Key Laboratory of Animal Protein Food Processing Technology of Zhejiang Province, College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo 315832, China

1 Co-first author.

Peer review under responsibility of Tsinghua University Press.

Show Author Information

Graphical Abstract

View original image Download original image

Abstract

In this study, 10 novel anti-inflammatory peptides were identified from duck liver, and their molecular mechanism was demonstrated based on machine learning and molecular docking. Using Sephadex G-15 gel chromatography separation, reversed-phase high-performance liquid chromatography purification, liquid chromatography-tandem mass spectrometry identification, and BIOPEP database comparison, 10 novel anti-inflammatory peptides were initially found. Their splendid angiotensin-converting enzyme (ACE) inhibition and anti-inflammatory properties were confirmed by machine learning. With binding energies less than –20.93 kJ/mol, molecular docking revealed that they could efficiently bind to the active pockets of tumor necrosis factor α (TNF-α), interleukin 6 (IL-6), cyclooxygenase 2 (COX-2), and nuclear factor κB (NF-κB) proteins with efficiency, indicating that the compounds can spontaneously form complexes through hydrogen bonding and hydrophobic interactions with the protein binding pockets. In the lipopolysaccharide-induced RAW264.7 cell model, the release of NO, TNF-α, and IL-6 and the mRNA expression of inflammatory factors (TNF-α, IL-6, COX-2, and NF-κB) were significantly inhibited by these peptides. We concluded it might be due to their anti-inflammatory effects by inhibiting the protein phosphorylation of inhibitor of NF-κB (IκBα) in the cytoplasm and preventing the translocation of NF-κB p65 in the cytoplasm to the nucleus, thereby regulating the NF-κB signaling pathway. This study is essential for the screening of anti-inflammatory peptides and the investigation of the mechanism of action.

References

[1]

L. Xu, Q. Xia, J.X. Cao, et al., Ultrasonic effects on the headspace volatilome and protein isolate microstructure of duck liver, as well as their potential correlation mechanism, Ultrason. Sonochem. 71 (2020) 105358. https://doi.org/10.1016/j.ultsonch.2020.105358.

[2]

S.J. Lee, E.K. Kim, J.W. Hwang, et al., Purification and characterisation of an antioxidative peptide from enzymatic hydrolysates of duck processing by-products, Food Chem. 123 (2010) 216-220. https://doi.org/10.1016/j.foodchem.2010.04.001.

[3]

W. Liu, X. Chen, H. Li, et al., Anti-inflammatory function of plant-derived bioactive peptides: a review, Foods 11 (2022) 2361. https://doi.org/10.3390/foods11152361.

[4]

P. Mudgil, B. Baby, Y.Y. Ngoh, et al., Molecular binding mechanism and identification of novel anti-hypertensive and anti-inflammatory bioactive peptides from camel milk protein hydrolysates, LWT-Food Sci. Technol. 112 (2019) 108193. https://doi.org/10.1016/j.lwt.2019.05.091.

[5]

Y. Zhang, S. Chen, X. Zong, et al., Peptides derived from fermented soybean meal suppresses intestinal inflammation and enhances epithelial barrier function in piglets, Food Agr. Immunol. 31 (2020) 120-135. https://doi.org/10.1080/09540105.2019.1705766.

[6]

P.Y. Liao, L. Hsin-Yi, I.C. Liu, et al., A gastro-resistant peptide from Momordica charantia improves diabetic nephropathy in db/db mice via its novel reno-protective and anti-inflammatory activities, Food Funct. 13(4) (2022) 1822-1833. https://doi.org/10.1039/D1FO02788C.

[7]

A.S. Abdelsattar, A. Dawoud, M.A. Helal, Interaction of nanoparticles with biological macromolecules: a review of molecular docking studies, Nanotoxicology 15 (2021) 66-95. https://doi.org/10.1080/17435390.2020.1842537.

[8]

W.C. Chen, W. Li, D. Wu, et al., Characterization of novel umami-active peptides from Stropharia rugoso-annulata mushroom and in silico study on action mechanism, J. Food Compos. Anal. 110 (2022) 104530. https://doi.org/10.1016/j.jfca.2022.104530.

[9]

O. Kadioglu, T. Efferth, A machine learning-based prediction platform for p-glycoprotein modulators and its validation by molecular docking, Cells 8(10) (2019) 1286. https://doi.org/10.3390/cells8101286.

[10]

R. Ganesh, Computational identification of inhibitors of MSUT-2 using quantum machine learning and molecular docking for the treatment of Alzheimer’s disease, Alzh. Dement-Dadm. 17 (2021) e049671. https://doi.org/10.1002/alz.049671.

[11]

P. Charoenkwan, J. Yana, C. Nantasenamat, et al., iUmami-SCM: a novel sequence-based predictor for prediction and analysis of umami peptides using a scoring card method with propensity scores of dipeptides, J. Chem. Inf. Model. 60(12) (2020) 6666-6678. https://doi.org/10.1021/acs.jcim.0c00707.

[12]

N. Karimi, R. Pourahmad, S. Taheri, et al., Isolation and purification of bioactive peptides from yogurt whey: application as a natural preservative in a model food system, J. Food Process. Pres. 45(12) (2021) e16086. https://doi.org/10.1111/jfpp.16086.

[13]

J. Chen, M. Jayachandran, W. Zhang, L. et al., Dietary Supplementation with sea bass (Lateolabrax maculatus) ameliorates ulcerative colitis and inflammation in macrophages through inhibiting toll-like receptor 4-linked pathways, Int. J. Mol. Sci. 20(12) (2019) 2907. https://doi.org/10.3390/ijms20122907.

[14]

X. Duan, M. Zhang, F. Chen, Prediction and analysis of antimicrobial peptides from rapeseed protein using in silico approach, J. Food Biochem. 45(4) (2021) e13598. https://doi.org/10.1111/jfbc.13598.

[15]

Z.S. Zhao, W. Ding, L. Shiuan, et al., Identification and the molecular mechanism of a novel myosin-derived ACE inhibitory peptide, Food Funct. 9(1) (2018) 364-370. https://doi.org/10.1039/C7FO01558E.

[16]

X. Fan, Y. Han, Y. Sun, T. et al., Preparation and characterization of duck liver-derived antioxidant peptides based on LC-MS/MS, molecular docking, and machine learning, LWT-Food Sci. Technol. 175 (2023) 114479. https://doi.org/10.1016/j.lwt.2023.114479.

[17]

X. Fan, X. Li, T. Zhang, et al., A novel qPCR method for the detection of lactic acid bacteria in fermented milk, Foods 10(12) (2021) 3066. https://doi.org/10.3390/foods10123066.

[18]

Z. Ji, J. Mao, S. Chen, et al., Antioxidant and anti-inflammatory activity of peptides from foxtail millet (Setaria italica) prolamins in HaCaT cells and RAW264.7 murine macrophages, Food Biosci. 36 (2020) 100636. https://doi.org/10.1016/j.fbio.2020.100636.

[19]

X. Wang, H. Yu, R. Xing, et al., Preparation and identification of antioxidative peptides from pacific herring (Clupea pallasii) protein, Molecules 24(10) (2019) 1946. https://doi.org/10.3390/molecules24101946.

[20]

P. Minkiewicz, A. Iwaniak and M. Darewicz, BIOPEP-UWM database of bioactive peptides: current opportunities, Int. J. Mol. Sci. 20(23) (2019) 5978 https://doi.org/10.3390/ijms20235978.

[21]

M. Ye, L. Jie, H. Shi, et al., Isolation and characterization of anti-inflammatory peptides derived from whey protein, J. Dairy Sci. 99 (2016) 6902-6912. https://doi.org/10.3168/jds.2016-11186.

[22]

H. Fan, J. Wu, Purification and identification of novel ACE inhibitory and ACE2 upregulating peptides from spent hen muscle proteins, Food Chem. 345 (2020) 128867. https://doi.org/10.1016/j.foodchem.2020.128867.

[23]

O. Suwannapan, K. Wachirattanapongmetee, S. Thawornchinsombut, et al., Angiotensin-I-converting enzyme (ACE)-inhibitory peptides from Thai jasmine rice bran protein hydrolysates, Int. J. Food Sci. Tech. 55(6) (2020) 2441-2450. https://doi.org/10.1111/ijfs.14495.

[24]

L. Jin, S. W. Lim, J. Jin, et al., Yang, Effects of addition of a dipeptidyl peptidase Ⅳ inhibitor to metformin on sirolimus-induced diabetes mellitus, Transl. Res. 147 (2016) 122-139. https://doi.org/10.1016/j.trsl.2016.03.012.

[25]

M. Zhang, S. Liu, X. Yang, X. et al., Immunomodulatory effects of different molecular weight Sporisorium reilianum polypeptides on LPS-induced RAW264.7 macrophages, Food Biosci. 43 (2021) 101322. https://doi.org/10.1016/j.fbio.2021.101322.

[26]

Z.M. Song, F. Liu, Y.M. Chen. et al., CTGF-mediated ERK signaling pathway influences the inflammatory factors and intestinal flora in ulcerative colitis, Biomed. Pharmacother. 111 (2019) 1429-1437. https://doi.org/10.1016/j.biopha.2018.12.063.

[27]

A. Narayanasamy, A. Balde, P. Raghavender, et al., Isolation of marine crab (Charybdis natator) leg muscle peptide and its anti-inflammatory effects on macrophage cells, Biocatal. Agric. Biotechnol. 25 (2020) 101577. https://doi.org/10.1016/j.bcab.2020.101577.

[28]

Y. Hao, X. Fan, H. Guo, et al., Overexpression of the bioactive lunasin peptide in soybean and evaluation of its anti-inflammatory and anti-cancer activities in vitro, J. Biosci. Bioeng. 129(4) (2020) 395-404. https://doi.org/10.1016/j.jbiosc.2019.11.001.

[29]

M. Chalamaiah, R. Hemalatha, T. Jyothirmayi, et al., Immunomodulatory effects of protein hydrolysates from rohu (Labeo rohita) egg (roe) in BALB/c mice, Food Res. Int. 62 (2014) 1054-1061. https://doi.org/10.1016/j.foodres.2014.05.050.

[30]

Y.J. Kim, J.Y. Lee, H.J. Kim, et al., Anti-inflammatory effects of Angelica sinensis (Oliv.) diels water extract on RAW264.7 induced with lipopolysaccharide, Nutrients 10(5) (2018) 647. https://doi.org/10.3390/nu10050647.

[31]

C.B. Ahn, J.Y. Je, Y.S. Cho, Antioxidant and anti-inflammatory peptide fraction from salmon byproduct protein hydrolysates by peptic hydrolysis, Food Res. Int. 49(1) (2012) 92-98. https://doi.org/10.1016/j.foodres.2012.08.002.

[32]

X. Chen, Y. Wu, T. Yang, et al., Salidroside alleviates cachexia symptoms in mouse models of cancer cachexia via activating mTOR signalling, J. Cachexia Sarcopeni. 7(2) (2016) 225-232. https://doi.org/10.1002/jcsm.12054.

[33]

J. Muri, M. Kopf, Redox regulation of immunometabolism, Nat. Rev. Immunol. 21(6) (2021) 363-381. https://doi.org/10.1038/s41577-020-00478-8.

[34]

H.A. Lee, I.H. Kim, T.J. Nam, Bioactive peptide from Pyropia yezoensis and its anti-inflammatory activities, Int. J. Mol. Med. 36(6) (2015). 1701-1706. https://doi.org/10.3892/ijmm.2015.2386.

[35]

K.Y. Hsin, S. Ghosh, H. Kitano, Combining machine learning systems and multiple docking simulation packages to improve docking prediction reliability for network pharmacology, PLoS ONE 8(12) (2013) e83922. https://doi.org/10.1371/journal.pone.0083922.

[36]

M. Mirzaei, S. Mirdamadi, M.R. Ehsani et al., Production of antioxidant and ACE-inhibitory peptides from Kluyveromyces marxianus protein hydrolysates: purification and molecular docking, J. Food Drug Anal. 26(2) (2018) 696-705. https://doi.org/10.1016/j.jfda.2017.07.008.

[37]

S. Sanjukta, S. Padhi, P. Sarkar, et al., Production, characterization and molecular docking of antioxidant peptides from peptidome of kinema fermented with proteolytic Bacillus spp, Food Res. Int. 141 (2021) 110161. https://doi.org/10.1016/j.foodres.2021.110161.

[38]

X. Meng, H. Xu, Z. Zhang, et al., Differential mobility spectrometry tandem mass spectrometry with multiple ion monitoring for the bioanalysis of liraglutide, Anal. Bioanal. Chem. 409 (2017) 4885-4891. https://doi.org/10.1007/s00216-017-0431-6.

[39]

X. Su, H. Jang, C. Wang, et al., Anti-inflammatory potential of saponins from Aster tataricus via NF-κB/MAPK activation, J. Nat. Prod. 82(5) (2019) 1139-1148. https://doi.org/10.1021/acs.jnatprod.8b00856.

[40]

Q. Liang, M. Chalamaiah, W. Liao, et al., Zein hydrolysate and its peptides exert anti-inflammatory activity on endothelial cells by preventing TNF-α-induced NF-κB activation, J. Funct. Foods 64 (2020) 103598. https://doi.org/10.1007/s00216-017-0431-6.

Food Science and Human Wellness
Pages 3595-3605
Cite this article:
Fan X, Zhang L, Sun Y, et al. Identification and the molecular mechanism of novel duck liver-derived anti-inflammatory peptides in lipopolysaccharide-induced RAW264.7 cell model. Food Science and Human Wellness, 2024, 13(6): 3595-3605. https://doi.org/10.26599/FSHW.2023.9250041
Metrics & Citations  
Article History
Copyright
Rights and Permissions
Return