AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (6.8 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Effect of dual targeting procyanidins nanoparticles on metabolomics of lipopolysaccharide-stimulated inflammatory macrophages

Shanshan Tiea,bLijuan ZhangaBin LicShanghua XingaHaitao WangaYannan ChenaWeina CuiaShaobin GubMingqian Tana( )
Academy of Food Interdisciplinary Science, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China
College of Food and Bioengineering, Henan University of Science and Technology, Luoyang 471023, China
College of Food Science, Shenyang Agricultural University, National R&D Professional Center for Berry Processing, Shenyang 110866, China

Peer review under responsibility of KeAi Communications Co., Ltd.

Show Author Information

Abstract

Inflammation plays an important role in the occurrence and development of many inflammatory diseases. The purpose of this study was to evaluate the anti-inflammatory effect and metabolic behavior of the dual targeting procyanidins (PC) nanoparticles on lipopolysaccharide (LPS)-stimulated inflammatory macrophages by metabolomics method. The double-targeting PC nanoparticles could specifically target both the CD44 receptor and mitochondria, while the single targeting PC-loaded nanoparticles that could target the CD44 receptor on the surface of macrophages. The double-targeting PC nanoparticles had better inhibitory effect than single-targeting PC nanoparticles on the leakage of lactate dehydrogenase and reactive oxygen species overexpression induced by LPS. Amino acid metabolism, energy metabolism and purine metabolism were disordered in LPS-treated group, and metabolic pathway analysis indicated that the double-targeting PC nanoparticles reversed some of LPS impacts. The changes of these potential biomarkers and their corresponding pathways are helpful to further understand the mechanism of PC nanoparticles in alleviating inflammation, and promote their application in nutrition intervention.

References

[1]

M. Camba-Gómez, O. Gualillo, J. Conde-Aranda, New perspectives in the study of intestinal inflammation: focus on the resolution of inflammation, Int. J. Mol. Sci. 22(5) (2021) 2605. https://doi.org/10.3390/ijms22052605.

[2]

L. Luo, J. Zhou, H. Zhao, et al., The anti-inflammatory effects of formononetin and ononin on lipopolysaccharide-induced zebrafish models based on lipidomics and targeted transcriptomics, Metabolomics 15(12) (2019) 153. https://doi.org/10.1007/s11306-019-1614-2.

[3]

S.C. Harwani, Macrophages under pressure: the role of macrophage polarization in hypertension, Transl. Res. 191 (2018) 45-63. https://doi.org/10.1016/j.trsl.2017.10.011.

[4]

P. Pradhan, V. Vijayan, F. Gueler, et al., Interplay of heme with macrophages in homeostasis and inflammation, Int. J. Mol. Sci. 21(3) (2020) 740. https://doi.org/10.3390/ijms21030740.

[5]

D. Dai, Y. Tian, H. Guo, et al., A pharmacometabonomic approach using predose serum metabolite profiles reveals differences in lipid metabolism in survival and non-survival rats treated with lipopolysaccharide, Metabolomics 12(1) (2016) 2. https://doi.org/10.1007/s11306-015-0892-6.

[6]

F. Cui, P. Zhu, J. Ji, et al., Gas chromatography-mass spectrometry metabolomic study of lipopolysaccharides toxicity on rat basophilic leukemia cells, Chem-Biol. Interact. 281 (2018) 81-88. https://doi.org/10.1016/j.cbi.2017.12.008.

[7]

H. Liu, J. Liang, G. Xiao, et al., Dendrobine suppresses lipopolysaccharide-induced gut inflammation in a co-culture of intestinal epithelial Caco-2 cells and RAW264.7 macrophages, eFood 2(2) (2021) 92-99. https://doi.org/10.2991/efood.k.210409.001.

[8]

C. González-Quilen, E. Rodríguez-Gallego, R. Beltrán-Debón, et al., Health-promoting properties of proanthocyanidins for intestinal dysfunction, Nutrients 12(1) (2020) 130. https://doi.org/10.3390/nu12010130.

[9]

C. Rodríguez-Pérez, B. García-Villanova, E. Guerra-Hernández, et al., Grape seeds proanthocyanidins: an overview of in vivo bioactivity in animal models, Nutrients 11(10) (2019) 2435. https://doi.org/10.3390/nu11102435.

[10]

M.J. Cires, X. Wong, C. Carrasco-Pozo, et al., The gastrointestinal tract as a key target organ for the health-promoting effects of dietary proanthocyanidins, Front. Nutr. 3 (2017) 57. https://doi.org/10.3389/fnut.2016.00057.

[11]

H. Yang, X. Tuo, L. Wang, et al., Bioactive procyanidins from dietary sources: the relationship between bioactivity and polymerization degree, Trends Food Sci. Tech. 111 (2021) 114-127. https://doi.org/10.1016/j.tifs.2021.02.063.

[12]

K. Hou, Z. Wang, Application of nanotechnology to enhance adsorption and bioavailability of procyanidins: a review, Food Rev. Int. 38 (2021) 738-752. https://doi.org/10.1080/87559129.2021.1888970.

[13]

S. Tie, W. Su, Y. Chen, et al., Dual targeting procyanidin nanoparticles with glutathione response for colitis treatment, Chem. Eng. J. 441 (2022) 136095. https://doi.org/10.1016/j.cej.2022.136095.

[14]

Y. Yang, J. Zhang, Y. Liu, et al., Metabonomic analysis of metastatic lung tissue in breast cancer mice by an integrated NMR-based metabonomics approach, RCS Adv. 7(45) (2017) 28001-28008. https://doi.org/10.1039/c7ra02069d.

[15]

Y.H. Jo, H.C. Park, S. Choi, et al., Metabolomic analysis reveals cyanidins in black raspberry as candidates for suppression of lipopolysaccharide-induced inflammation in murine macrophages, J. Agric. Food Chem. 63(22) (2015) 5449-5458. https://doi.org/10.1021/acs.jafc.5b00560.

[16]

C. Geng, Y. Guo, C. Wang, et al., Comprehensive evaluation of lipopolysaccharide-induced changes in rats based on metabolomics, J. Inflamm. Res. 13 (2020) 477-486. https://doi.org/10.2147/jir.s266012.

[17]

L. Cui, X. Wang, B. Sun, et al., Predictive metabolomic signatures for safety assessment of metal oxide nanoparticles, ACS Nano 13(11) (2019) 13065-13082. https://doi.org/10.1021/acsnano.9b05793.

[18]

W. Wu, H. Lin, A. Yin, et al., GC-MS based metabolomics reveals the synergistic mechanism of gardeniae fructus-forsythiae fructus herb pair in lipopolysaccharide-induced acute lung injury mouse model, Evid-Based. Compl. Alt. 2021 (2021) 8064557. https://doi.org/10.1155/2021/8064557.

[19]

L. Chen, B. Qu, H. Wang, et al., The effect of curculigo orchioides (Xianmao) on kidney energy metabolism and the related mechanism in rats based on metabolomics, Food Sci. Nutr. 9(11) (2021) 6194-6212. https://doi.org/10.1002/fsn3.2573.

[20]

Z. Qi, Q. Wang, H. Wang, et al., Metallothionein attenuated arsenic-induced cytotoxicity: the underlying mechanism reflected by metabolomics and lipidomics, J. Agric. Food Chem. 69(18) (2021) 5372-5380. https://doi.org/10.1021/acs.jafc.1c00724.

[21]

H. Cho, Y.Y. Cho, M.S. Shim, et al., Mitochondria-targeted drug delivery in cancers, BBA-Mol. Basis Dis. 1866(8) (2020) 165808. https://doi.org/10.1016/j.bbadis.2020.165808.

[22]

A. Matondo, S.S. Kim, Targeted-mitochondria antioxidants therapeutic implications in inflammatory bowel disease, J. Drug Target. 26(1) (2018) 1339196. https://doi.org/10.1080/1061186X.2017.1339196.

[23]

J.H. Kim, N.G. Quilantang, H.Y. Kim, et al., Attenuation of hydrogen peroxide-induced oxidative stress in SH-SY5Y cells by three flavonoids from Acer okamotoanum, Chem. Pap. 73(5) (2019) 1135-1144. https://doi.org/10.1007/s11696-018-0664-7.

[24]

S. Tie, S. Xiang, Y. Chen, et al., Facile synthesis of food-grade and size-controlled nanocarriers based on self-assembly of procyanidins and phycocyanin, Food Funct. 13 (2022) 4023-4031. https://doi.org/10.1039/d1fo04222j.

[25]

Y. Wang, X. Song, Y. Geng, Effects of IC50 dose of retinol on metabolomics of RAW264.7 cells, J. Food Biochem. 44(8) (2020) 13327. https://doi.org/10.1111/jfbc.13327.

[26]

S. Yue, J. Yu, Y. Kong, et al., Metabolomic modulations of HepG2 cells exposed to bisphenol analogues, Environ. Int. 129 (2019) 59-67. https://doi.org/10.1016/j.envint.2019.05.008.

[27]

L. Chen, E. Jiang, Y. Guan, et al., Safety of high-dose Puerariae Lobatae Radix in adolescent rats based on metabolomics, Food Sci. Nutr. 9 (2021) 794-810. https://doi.org/10.1002/fsn3.2044.

[28]

S. Ge, Q. Zhang, Y. Tian, et al., Cell metabolic profiling of colorectal cancer via 1H NMR, Clin. Chim. Acta. 510 (2020) 291-297. https://doi.org/10.1016/j.cca.2020.07.039.

[29]

H. Laube, F. Matysik, A. Schmidberger, et al., CE-UV/VIS and CE-MS for monitoring organic impurities during the downstream processing of fermentative-produced lactic acid from second-generation renewable feedstocks, J. Biol. Eng. 10 (2016) 7. https://doi.org/10.1186/s13036-016-0027-2.

[30]

A. Gobert, N. Al-Greene, K. Singh, et al., Distinct immunomodulatory effects of spermine oxidase in colitis induced by epithelial injury or infection, Front. Immunol. 9 (2018) 1242. https://doi.org/10.3389/fimmu.2018.01242.

[31]

V. Battaglia, C. DeStefano Shields, T. Murray-Stewart, et al., Polyamine catabolism in carcinogenesis: potential targets for chemotherapy and chemoprevention, Amino Acids 46(3) (2014) 511-519. https://doi.org/10.1007/s00726-013-1529-6.

[32]

W. Yu, W. Yang, M.-Y. Zhao, et al., Functional metabolomics analysis elucidating the metabolic biomarker and key pathway change associated with the chronic glomerulonephritis and revealing action mechanism of rhein, Front. Pharmacol. 11 (2020) 554783. https://doi.org/10.3389/fphar.2020.554783.

[33]

A. Wang, Z. Pi, S. Liu, et al., Mass spectrometry-based urinary metabolomics for exploring the treatment effects of Radix ginseng-Schisandra chinensis herb pair on Alzheimer's disease in rats, J. Sep. Sci. 44(16) (2021) 3158-3166. https://doi.org/10.1002/jssc.202100061.

[34]

H. Gao, T. Yang, X. Chen, et al., Changes of lipopolysaccharide-induced acute kidney and liver injuries in rats based on metabolomics analysis, J. Inflamm. Res. 14 (2021) 1807-1825. https://doi.org/10.2147/jir.s306789.

[35]

S. Liao, P. Li, J. Wang, et al., Protection of baicalin against lipopolysaccharide induced liver and kidney injuries based on 1H NMR metabolomic profiling, Toxicol. Res. 5(4) (2016) 1148-1159. https://doi.org/10.1039/c6tx00082g.

[36]

A.A. Azam, I.S. Ismail, M.F. Shaikh, et al., Effects of Clinacanthus nutans leaf extract on lipopolysaccharide-induced neuroinflammation in rats: a behavioral and 1H NMR-based metabolomics study, Avicenna. J. Phytomed. 9(2) (2019) 164-186.

[37]

W. Lan, Y. Ren, Z. Wang, et al., Metabolic profile reveals the immunosuppressive mechanisms of methionyl-methionine in lipopolysaccharide-induced inflammation in bovine mammary epithelial cell, Animals 11(3) (2021) 833. https://doi.org/10.3390/ani11030833.

[38]

J. Yin, W. Ren, X. Huang, et al., Potential mechanisms connecting purine metabolism and cancer therapy, Front. Immunol. 9 (2018) 1697. https://doi.org/10.3389/fimmu.2018.01697.

[39]

Y. Bu, H. Yang, J. Li, et al., Comparative metabolomics analyses of plantaricin Q7 production by Lactobacillus plantarum Q7, J. Agric. Food Chem. 69 (2021) 10741-10748. https://doi.org/10.1021/acs.jafc.1c03533.

Food Science and Human Wellness
Pages 2252-2262
Cite this article:
Tie S, Zhang L, Li B, et al. Effect of dual targeting procyanidins nanoparticles on metabolomics of lipopolysaccharide-stimulated inflammatory macrophages. Food Science and Human Wellness, 2023, 12(6): 2252-2262. https://doi.org/10.1016/j.fshw.2023.03.045

459

Views

8

Downloads

8

Crossref

6

Web of Science

9

Scopus

0

CSCD

Altmetrics

Received: 20 June 2022
Revised: 09 August 2022
Accepted: 17 August 2022
Published: 04 April 2023
© 2023 Beijing Academy of Food Sciences.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Return