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
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Food Science of Animal Products Article
PDF (1.2 MB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Review Article | Open Access

Beneficial effects of food-derived polyphenols on type 2 diabetes: mechanistic insights based on gut microbiota alterations and anti-inflammatory responses

Han Song1, Wei Jia1,2( )
School of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an 710021, China
Shaanxi Research Institute of Agricultural Products Processing Technology, Xi'an 710021, China
Show Author Information

Abstract

Food-derived polyphenols and their effects on type 2 diabetes are linked to the microbiota. Here, we expound on the mechanisms of food-derived polyphenols that affect the onset of type 2 diabetes, focusing on the roles played by gut microorganisms and the metabolites they produce. We also discuss the mechanism of food-derived polyphenols lower blood glucose through host signaling-mediated inflammatory responses. Food-derived polyphenols alleviate the development of type 2 diabetes by remodeling gut microbiome composition and reducing inflammatory responses. Food-derived polyphenols inhibit the activity of α-glucosidase, α-amylase, and dipeptidyl peptidase IV enzymes to reduce postprandial blood glucose levels. The nuclear factor kappa-light-chain enhancer of activated B cells (NF-κB) is considered a key regulator of food-derived polyphenols in alleviating the onset of type 2 diabetes. Inhibition of NF-κB activation can increase insulin sensitivity, reduce inflammation, and maintain glucose homeostasis. This investigation reveals that food-derived polyphenols can alleviate the onset of type 2 diabetes and offers adequate theoretical knowledge in support of their usage as such.

Keywords

bioavailabilitytype 2 diabetesmetabolitefood-derived polyphenolsgut microorganism

References

[1]

W. Wei, W. B. Jiang, T. S. Han, et al., The future of prevention and treatment of diabetes with nutrition in China, Cell Metab. 33(10) (2021) 1908–1910. https://doi.org/10.1016/j.cmet.2021.09.012.
Crossref Google Scholar
[2]

I. I. Ismail, S. Kumar, S. Shukla, et al., Putative antidiabetic herbal food ingredients: nutra/functional properties, bioavailability, and effect on metabolic pathways, Trends Food Sci. Tech. 97 (2020) 317–340. https://doi.org/10.1016/j.jpgs.2020.01.017.
Crossref Google Scholar
[3]

Q. Y. Lyu, H. T. Deng, S. X. Wang, et al., Dietary supplementation with casein/cyanidin-3-O-glucoside nanoparticles alters the gut microbiota in high-fat fed C57BL/6 mice, Food Chem. 412 (2023) 135494. https://doi.org/10.1016/j.foodchem.2023.135494.
Crossref Google Scholar
[4]

C. Ning, Y. H Jiao, J. Q. Wang, et al., Recent advances in the managements of type 2 diabetes mellitus and natural hypoglycemic substances, Food Sci. Hum. Wellness 11(5) (2022) 1121–1133. https://doi.org/10.1016/j.fshw.2022.04.004.
Crossref Google Scholar
[5]

P. Daliu, A. Santini, E. Novellino, From pharmaceuticals to nutraceuticals: bridging disease prevention and management, Expert Rev. Clin. Phar. 12(1) (2019) 1–7. https://doi.org/10.1080/17512433.2019.1552135.
Crossref Google Scholar
[6]

L. P. Zhao, F. Zhang, X. Y. Ding, et al., Gut bacteria selectively promoted by dietary fibers alleviate type 2 diabetes, Science 359 (2018) 1151–1156. https://doi.org/10.1126/science.aao5774.
Crossref Google Scholar
[7]

G. C. Román, R. E. Jackson, R. Gadhia, et al., Mediterranean diet: the role of long-chain ω-3 fatty acids in fish; polyphenols in fruits, vegetables, cereals, coffee, tea, cacao, and wine; probiotics and vitamins in prevention of stroke, age-related cognitive decline, and Alzheimer disease, Rev. Neurol-France. 175(10) (2019) 724–741. https://doi.org/10.1016/j.neurol.2019.08.005.
Crossref Google Scholar
[8]

Z. B. Fan, W. Jia, A. Du, et al., Discovery of Se-containing flavone in Se-enriched green tea and the potential application value in the immune regulation, Food Chem. 394 (2022) 133468. https://doi.org/10.1016/j.foodchem.2022.133468.
Crossref Google Scholar
[9]

M. G. Salvia, P. A. Quatromoni, Behavioral approaches to nutrition and eating patterns for managing type 2 diabetes: a review, Am. J. Med. 9 (2023) 100034. https://doi.org/10.1016/j.ajmo.2023.100034.
Crossref Google Scholar
[10]

W. Li, H. H. Chen, B. Xu, et al., Research progress on classification, sources, and functions of dietary polyphenols for prevention and treatment of chronic diseases, J. Funct. Foods. 3(4) (2023) 289–305. https://doi.org/10.1016/j.jfutfo.2023.03.001.
Crossref Google Scholar
[11]

G. Catalkaya, K. Venema, L. Lucini, et al., Interaction of dietary polyphenols and gut microbiota: microbial metabolism of polyphenols, influence on the gut microbiota, and implications on host health, Food Front. 1(2) (2020) 109–133. https://doi.org/10.1002/fft2.25.
Crossref Google Scholar
[12]

U. Majeed, A. Shafi, H. Majeed, et al., Grape (Vitis vinifera L. ) phytochemicals and their biochemical protective mechanisms against leading pathologies, Food Chem. 405 (2023) 134762. https://doi.org/10.1016/j.foodchem.2022.134762.
Crossref Google Scholar
[13]

M. J. Yao, H. Teng, Q. Y. Lv, et al., Anti-hyperglycemic effects of dihydromyricetin in streptozotocin-induced diabetic rats, Food Sci. Hum. Wellness 10(2) (2021) 155–162. https://doi.org/10.1016/j.fshw.2021.02.004.
Crossref Google Scholar
[14]

W. Q. Xu, Y. J. Huang, W. T. Zhou, et al., Theasinensin A attenuated diabetic development by restoring glucose homeostasis, improving hepatic steatosis, and modulating gut microbiota in high-fat-diet/streptozotocin-induced diabetic mice, Food Sci. Hum. Wellness 12(6) (2023) 2073–2086. https://doi.org/10.1016/j.fshw.2023.03.026.
Crossref Google Scholar
[15]

T. G. Wang, Z. Y. Zhao, G. X. Wang, et al., Age-related disparities in diabetes risk attributable to modifiable risk factor profiles in Chinese adults: a nationwide, population-based, cohort study, The Lancet Healthy Longevity 2(10) (2021) e618–e628. https://doi.org/10.1016/S2666-7568(21)00177-X.
Crossref Google Scholar
[16]

H. Memon, F. Abdulla, T. Reljic, et al., Effects of combined treatment of probiotics and metformin in management of type 2 diabetes: a systematic review and meta-analysis, Diabetes Res. Clin. Pr. 202 (2023) 110806. https://doi.org/10.1016/j.diabres.2023.110806.
Crossref Google Scholar
[17]

M. Y. Wang, J. Y. Li, T. Hu, et al., Metabolic fate of tea polyphenols and their crosstalk with gut microbiota, Food Sci. Hum. Wellness 11(3) (2022) 455–466. https://doi.org/10.1016/j.fshw.2021.12.003.
Crossref Google Scholar
[18]

N. M. Koropatkin, E. A. Cameron, E. C. Martens, How glycan metabolism shapes the human gut microbiota, Nat. Rev. Microbiol. 10(5) (2012) 323–335. https://doi.org/10.1038/nrmicro2746.
Crossref Google Scholar
[19]

J. H. Liu, Z. Y. He, N. Ma, et al., Beneficial effects of dietary polyphenols on high-fat diet-induced obesity linking with modulation of gut microbiota, J. Agr. Food Chem. 68(1) (2020) 33–47. https://doi.org/10.1021/acs.jafc.9b06817.
Crossref Google Scholar
[20]

Z. X. Liu, M. H. Liu, J. Meng, et al., A review of the interaction between diet composition and gut microbiota and its impact on associated disease, J. Funct. Foods. 4(3) (2024) 221–232. https://doi.org/10.1016/j.jfutfo.2023.07.004.
Crossref Google Scholar
[21]

H. N. Sanchez, J. B. Moroney, H. Gan, et al., B cell-intrinsic epigenetic modulation of antibody responses by dietary fiber-derived short-chain fatty acids, Nat. Commun. 11(1) (2020) 60. https://doi.org/10.1038/s41467-019-13603-6.
Crossref Google Scholar
[22]

S. Lin, S. T. Wang, P. Wang, et al., Bile acids and their receptors in regulation of gut health and diseases, Prog. Lipid Res. 89 (2023) 101210. https://doi.org/10.1016/j.plipres.2022.101210.
Crossref Google Scholar
[23]

S. Khan, G. Jena, Sodium butyrate reduces insulin-resistance, fat accumulation and dyslipidemia in type-2 diabetic rat: a comparative study with metformin, Chem-Biol. Interact. 254 (2016) 124–134. https://doi.org/10.1016/j.cbi.2016.06.007.
Crossref Google Scholar
[24]

Y. S. Zhao, X. M. Tong, X. M. Wu, et al., Metabolomics reveal the regulatory effect of polysaccharides from fermented barley bran extract on lipid accumulation in HepG2 cells, Metabolites 13(2) (2023) 223. https://doi.org/10.3390/metabo13020223.
Crossref Google Scholar
[25]

Y. J. Bai, Y. Zhou, X. Li, et al., Longan pulp polysaccharides regulate gut microbiota and metabolites to protect intestinal epithelial barrier, Food Chem. 422 (2023) 136225. https://doi.org/10.1016/j.foodchem.2023.136225.
Crossref Google Scholar
[26]

L. Macia, J. Tan, A. T. Vieira, et al., Metabolite-sensing receptors GPR43 and GPR109A facilitate dietary fibre-induced gut homeostasis through regulation of the inflammasome, Nat. Commun. 6(1) (2015) 6734. https://doi.org/10.1038/ncomms7734.
Crossref Google Scholar
[27]

W. Q. Feng, Y. C. Wu, G. X. Chen, et al., Sodium butyrate attenuates diarrhea in weaned piglets and promotes tight junction protein expression in colon in a GPR109A-dependent manner, Cell Physiol. Biochem. 47(4) (2018) 1617–1629. https://doi.org/10.1159/000490981.
Crossref Google Scholar
[28]

N. Singh, A. Gurav, S. Sivaprakasam, et al., Activation of Gpr109a, Receptor for niacin and the commensal metabolite butyrate, suppresses colonic inflammation and carcinogenesis, Immunity 40(1) (2014) 128–139. https://doi.org/10.1016/j.immuni.2013.12.007.
Crossref Google Scholar
[29]

D. Cheng, J. H. Xu, J. Y. Li, et al., Butyrate ameliorated-NLRC3 protects the intestinal barrier in a GPR43-dependent manner, Exp. Cell Res. 368(1) (2018) 101–110. https://doi.org/10.1016/j.yexcr.2018.04.018.
Crossref Google Scholar
[30]

M. Aoyama, J. Kotani, M. Usami, Butyrate, and propionate induced activated or non-activated neutrophil apoptosis via HDAC inhibitor activity but without activating GPR-41/GPR-43 pathways, Nutrition 26(6) (2010) 653–661. https://doi.org/10.1016/j.nut.2023.112118.
Crossref Google Scholar
[31]

J. J. Xu, W. Sun, H. Li, et al., Xanthan gum oligosaccharides ameliorate glucose metabolism and related gut microbiota dysbiosis in type 2 diabetic mice, Food Biosci. 50 (2022) 102002. https://doi.org/10.1016/j.fbio.2022.102002.
Crossref Google Scholar
[32]

V. Gowd, T. Bao, L. L. Wang, et al., Antioxidant and antidiabetic activity of blackberry after gastrointestinal digestion and human gut microbiota fermentation, Food Chem. 269 (2018) 618–627. https://doi.org/10.1016/j.foodchem.2018.07.020.
Crossref Google Scholar
[33]

Z. M. Dou, C. Chen, Q. Huang, et al., In vitro digestion of the whole blackberry fruit: bioaccessibility, bioactive variation of active ingredients and impacts on human gut microbiota, Food Chem. 370 (2022) 131001. https://doi.org/10.1016/j.foodchem.2021.131001.
Crossref Google Scholar
[34]

B. A. Neuschwander-Tetri, R. Loomba, A. J. Sanyal, et al., Farnesoid X nuclear receptor ligand obeticholic acid for non-cirrhotic, non-alcoholic steatohepatitis (FLINT): a multicentre, randomised, placebo-controlled trial, Lancet 385 (2015) 956–965. https://doi.org/10.1016/S0140-6736(14)61933-4.
Crossref Google Scholar
[35]

T. Inagaki, M. Choi, A. Moschetta, et al., Fibroblast growth factor 15 functions as an enterohepatic signal to regulate bile acid homeostasis, Cell Metab. 2(4) (2005) 217–225. https://doi.org/10.1016/j.cmet.2005.09.001.
Crossref Google Scholar
[36]

L. L. Du, Q. Li, H. Yi, et al., Gut microbiota-derived metabolites as key actors in type 2 diabetes mellitus, Biomed. Pharmacother. 149 (2022) 112839. https://doi.org/10.1016/j.biopha.2022.112839.
Crossref Google Scholar
[37]

M. Li, W. J. Zhou, Y. Q. Dang, et al., Berberine compounds improves hyperglycemia via microbiome mediated colonic TGR5-GLP pathway in db/db mice, Biomed. Pharmacother. 132 (2020) 110953. https://doi.org/10.1016/j.biopha.2020.110953.
Crossref Google Scholar
[38]

C. Thomas, A. Gioiello, L. Noriega, et al., TGR5-mediated bile acid sensing controls glucose homeostasis, Cell Metab. 10(3) (2009) 167–177. https://doi.org/10.1016/j.cmet.2009.08.001.
Crossref Google Scholar
[39]

D. P. Kumar, S. Rajagopal, S. Mahavadi, et al., Activation of transmembrane bile acid receptor TGR5 stimulates insulin secretion in pancreatic β cells, Biochem. Bioph. Res. Co. 427(3) (2012) 600–605. https://doi.org/10.1016/j.bbrc.2012.09.104.
Crossref Google Scholar
[40]

W. W. Lv, J. Y. Song, R. Nowshin Raka, et al., Effects of food emulsifiers on high fat-diet-induced obesity, intestinal inflammation, changes in bile acid profile, and liver dysfunction, Food Res. Int. 173 (2023) 113302. https://doi.org/10.1016/j.foodres.2023.113302.
Crossref Google Scholar
[41]

S. Lin, B. Stoll, J. Robinson, et al., Differential action of TGR5 agonists on GLP-2 secretion and promotion of intestinal adaptation in a piglet short bowel model, Am. J. Physiol-Gastr. L. 316(5) (2019) G641–G652. https://doi.org/10.1152/ajpgi.00360.2018.
Crossref Google Scholar
[42]

S. C. Hui, Y. Liu, L. Huang, et al., Resveratrol enhances brown adipose tissue activity and white adipose tissue browning in part by regulating bile acid metabolism via gut microbiota remodeling, Int. J. Obesity. 44(8) (2020) 1678–1690. https://doi.org/10.1038/s41366-020-0566-y.
Crossref Google Scholar
[43]

N. P. Gannon, J. K. Schnuck, R. A. Vaughan, BCAA Metabolism, and insulin sensitivity-dysregulated by metabolic status, Mol. Nutr. Food Res. 62(6) (2018) 1700756. https://doi.org/10.1002/mnfr.201700756.
Crossref Google Scholar
[44]

M. Holeček, Why are branched-chain amino acids increased in starvation and diabetes, Nutrients 12 (2020). https://doi.org/10.3390/nu12103087.
Crossref Google Scholar
[45]

P. J. White, R. W. McGarrah, M. A. Herman, et al., Insulin action, type 2 diabetes, and branched-chain amino acids: a two-way street, Mol. Metab. 52 (2021) 101261. https://doi.org/10.1016/j.molmet.2021.101261.
Crossref Google Scholar
[46]

C. C. Metges, Contribution of microbial amino acids to amino acid homeostasis of the host, J. Nutr. 130(7) (2000) 1857S–1864S. https://doi.org/10.1093/jn/130.7.1857S.
Crossref Google Scholar
[47]

L. A. David, C. F. Maurice, R. N. Carmody, et al., Diet rapidly and reproducibly alters the human gut microbiome, Nature 505(7484) (2014) 559–563. https://doi.org/10.1038/nature12820.
Crossref Google Scholar
[48]

C. Shortt, O. Hasselwander, A. Meynier, et al., Systematic review of the effects of the intestinal microbiota on selected nutrients and non-nutrients, Eur. J. Nutr. 57(1) (2018) 25–49. https://doi.org/10.1007/s00394-017-1546-4.
Crossref Google Scholar
[49]

B. S. Y. Choi, N. Daniel, V. P. Houde, et al., Feeding diversified protein sources exacerbates hepatic insulin resistance via increased gut microbial branched-chain fatty acids and mTORC1 signaling in obese mice, Nat. Commun. 12(1) (2021) 3377. https://doi.org/10.1038/s41467-021-23782-w.
Crossref Google Scholar
[50]

A. Maykish, A. K. Sikalidis, Utilization of hydroxyl-methyl butyrate, leucine, glutamine, and arginine supplementation in nutritional management of sarcopenia-implications and clinical considerations for type 2 diabetes mellitus risk modulation, J. Pers. Med. 10(1) (2020) 19. https://doi.org/10.3390/jpm10010019.
Crossref Google Scholar
[51]

J. Lee, A. Vijayakumar, P. J. White, et al., BCAA Supplementation in mice with diet-induced obesity alters the metabolome without impairing glucose homeostasis, Endocrinology 162(7) (2021) bqab62. https://doi.org/10.1210/endocr/bqab062.
Crossref Google Scholar
[52]

H. H. Chen, Q. X. Nie, J. L. Hu, et al., Multiomics approach to explore the amelioration mechanisms of glucomannans on the metabolic disorder of type 2 diabetic rats, J. Agr. Food Chem. 69(8) (2021) 2632–2645. https://doi.org/10.1021/acs.jafc.0c07871.
Crossref Google Scholar
[53]

R. J. O. Sjögren, D. Rizo-Roca, A. V. Chibalin, et al., Branched-chain amino acid metabolism is regulated by ERRα in primary human myotubes and is further impaired by glucose loading in type 2 diabetes, Diabetologia 64(9) (2021) 2077–2091. https://doi.org/10.1007/s00125-021-05481-9.
Crossref Google Scholar
[54]

H. S. Zhao, F. Y. Zhang, D. Sun, et al., Branched-chain amino acids exacerbate obesity-related hepatic glucose and lipid metabolic disorders via attenuating Akt2 signaling, Diabetes 69(6) (2020) 1164–1177. https://doi.org/10.2337/db19-0920.
Crossref Google Scholar
[55]

E. Wada, M. Kobayashi, D. Kohno, et al., Disordered branched chain amino acid catabolism in pancreatic islets is associated with postprandial hypersecretion of glucagon in diabetic mice, J. Nutr. Biochem. 97 (2021) 108811. https://doi.org/10.1016/j.jnutbio.2021.108811.
Crossref Google Scholar
[56]

L. Zhang, Y. S. Yue, M. X. Shi, et al., Dietary Luffa cylindrica (L.) Roem promotes branched-chain amino acid catabolism in the circulation system via gut microbiota in diet-induced obese mice, Food Chem. 320 (2020) 126648. https://doi.org/10.1016/j.foodchem.2020.126648.
Crossref Google Scholar
[57]

F. Di Lorenzo, K. A. Duda, R. Lanzetta, et al., A journey from structure to function of bacterial lipopolysaccharides, Chem. Rev. 122(20) (2022) 15767–15821. https://doi.org/10.1021/acs.chemrev.0c01321.
Crossref Google Scholar
[58]

F. F. Anhê, N. G. Barra, J. F. Cavallari, et al., Metabolic endotoxemia is dictated by the type of lipopolysaccharide, Cell Rep. 36(11) (2021) 109691. https://doi.org/10.1016/j.celrep.2021.109691.
Crossref Google Scholar
[59]

N. Li, Z. P. Cen, Z. D. Zhao, et al., BCAA dysmetabolism in the host and gut microbiome, a key player in the development of obesity and T2DM, Med. Microecol. 16 (2023) 100078. https://doi.org/10.1016/j.medmic.2023.100078.
Crossref Google Scholar
[60]

F. Balkwill, K. A. Charles, A. Mantovani, Smoldering and polarized inflammation in the initiation and promotion of malignant disease, Cancer Cell 7(3) (2005) 211–217. https://doi.org/10.1016/j.ccr.2005.02.013.
Crossref Google Scholar
[61]

Z. Mirsanei, N. Heidari, A. Hazrati, et al., Oleuropein reduces LPS-induced inflammation via stimulating M2 macrophage polarization, Biomed. Pharmacother. 163 (2023) 114857. https://doi.org/10.1016/j.biopha.2023.114857.
Crossref Google Scholar
[62]

G. Toda, K. Soeda, Y. Okazaki, et al., Insulin- and lipopolysaccharide-mediated signaling in adipose tissue macrophages regulates postprandial glycemia through Akt-mTOR activation, Mol. Cell. 79(1) (2020) 43–53. https://doi.org/10.1016/j.molcel.2020.04.033.
Crossref Google Scholar
[63]

D. De Paulo Farias, F. F. De Araújo, I. A. Neri-Numa, et al., Antidiabetic potential of dietary polyphenols: a mechanistic review, Food Res. Int. 145 (2021) 110383. https://doi.org/10.1016/j.foodres.2021.110383.
Crossref Google Scholar
[64]

X. X. Li, Y. X. Bai, Z. Y. Jin, et al., Food-derived non-phenolic α-amylase, and α-glucosidase inhibitors for controlling starch digestion rate and guiding diabetes-friendly recipes, LWT-Food Sci. Technol. 153 (2022) 112455. https://doi.org/10.1016/j.lwt.2021.112455.
Crossref Google Scholar
[65]

S. J. Li, W. M. Zhang, R. M. Wang, et al., Screening and identification of natural α-glucosidase and α-amylase inhibitors from partridge tea (Mallotus furetianus Muell-Arg) and in silico analysis, Food Chem. 388 (2022) 133004. https://doi.org/10.1016/j.foodchem.2022.133004.
Crossref Google Scholar
[66]

R. Zhang, W. Jia, Systematic investigation on the multi-scale mechanisms of bitter peptide self-assembly for flavor modulation, Food Chem. 430 (2024) 137063. https://doi.org/10.1016/j.foodchem.2023.137063.
Crossref Google Scholar
[67]

L. Shi, W. Jia, R. Zhang, et al., Adulteration of endogenous substances as a next challenge in dairy safety: high-throughput analysis of flavours in goat milk based on the molecular mechanism of flavouring components dynamic changes, Trends Food Sci. Tech. 142 (2023) 104229. https://doi.org/10.1016/j.jpgs.2023.104229.
Crossref Google Scholar
[68]

G. Jagadeesan, K. Muniyandi, A. L. Manoharan, et al., Understanding the bioaccessibility, α-amylase and α-glucosidase enzyme inhibition kinetics of Allmania nodiflora (L.) R. Br. ex-wight polyphenols during in vitro simulated digestion, Food Chem. 372 (2022) 131294. https://doi.org/10.1016/j.foodchem.2021.131294.
Crossref Google Scholar
[69]

H. H. Liu, C. Zheng, Z. L. Li, et al., Inhibitory mechanism of phenolic compounds in rapeseed oil on α-amylase and α-glucosidase: spectroscopy, molecular docking, and molecular dynamic simulation, Spectrochim. Acta A 289 (2023) 122251. https://doi.org/10.1016/j.saa.2022.122251.
Crossref Google Scholar
[70]

C. P. Silva, G. R. Sampaio, R. A. M. S. Freitas, et al., Polyphenols from guaraná after in vitro digestion: evaluation of bioacessibility and inhibition of activity of carbohydrate-hydrolyzing enzymes, Food Chem. 267 (2018) 405–409. https://doi.org/10.1016/j.foodchem.2017.08.078.
Crossref Google Scholar
[71]

N. Sánchez-Otero, F. J. Rodríguez-Berrocal, M. P. de la Cadena, et al., Evaluation of pleural effusion sCD26 and DPP-IV as diagnostic biomarkers in lung disease, Sci. Rep. 4(1) (2014) 3999. https://doi.org/10.1038/srep03999.
Crossref Google Scholar
[72]

P. K. Huang, S. R. Lin, C. H. Chang, et al., Natural phenolic compounds potentiate hypoglycemia via inhibition of dipeptidyl peptidase IV, Sci. Rep. 9(1) (2019) 15585. https://doi.org/10.1038/s41598-019-52088-7.
Crossref Google Scholar
[73]

M. K. Leong, R. Syu, Y. Ding, et al., Prediction of N-methyl-D-aspartate receptor GluN1-ligand binding affinity by a Novel SVM-Pose/SVM-score combinatorial ensemble docking scheme, Sci. Rep. 7(1) (2017) 40053. https://doi.org/10.1038/srep40053.
Crossref Google Scholar
[74]

N. González-Abuín, N. Martínez-Micaelo, M. Blay, et al., Grape seed-derived procyanidins decrease dipeptidyl-peptidase 4 activity and expression, J. Agr. Food Chem. 60(36) (2012) 9055–9061. https://doi.org/10.1021/jf3010349.
Crossref Google Scholar
[75]

Z. H. Luo, T. Li, Q. Q. Gao, et al., Impact of licochalcone A on the progression of diabetic nephropathy in type 2 diabetes mellitus of C57BL/6 mice, Food Funct. 12(21) (2021) 10676–10689. https://doi.org/10.1039/D1FO01630J.
Crossref Google Scholar
[76]

C. Q. Li, J. H. Shi, J. Mu, et al., Licochalcone A derivatives as selective dipeptidyl peptidase 4 inhibitors with anti-inflammatory effects, J. Nat. Prod. 86(7) (2023) 1824–1831. https://doi.org/10.1021/acs.jnatprod.3c00355.
Crossref Google Scholar
[77]

X. Gong, X. Li, Y. Xia, et al., Effects of phytochemicals from plant-based functional foods on hyperlipidemia and their underpinning mechanisms, Trends Food Sci. Tech. 103 (2020) 304–320. https://doi.org/10.1016/j.jpgs.2020.07.026.
Crossref Google Scholar
[78]

Z. G. Gao, D. Hwang, F. Bataille, et al., Serine phosphorylation of insulin receptor substrate 1 by inhibitor κB kinase complex, J. Biol. Chem. 277(50) (2002) 48115–48121. https://doi.org/10.1074/jbc.M209459200.
Crossref Google Scholar
[79]

J. Chen, X. J. Meng, Aronia melanocarpa anthocyanin extracts improve hepatic structure and function in high-fat diet-/streptozotocin-induced T2DM mice, J. Agr. Food Chem. 70(37) (2022) 11531–11543. https://doi.org/10.1021/acs.jafc.2c03286.
Crossref Google Scholar
[80]

J. H. Zhang, M. Chen, Y. Y. Zhai, et al., Retracted: HOTAIR regulates lipopolysaccharide-induced inflammatory response in hepatocytes, J. Cell Physiol. 235(5) (2020) 4247–4255. https://doi.org/10.1002/jcp.29301.
Crossref Google Scholar
[81]

A. Ghorbani, R. Rashidi, R. Shafiee-Nick, Flavonoids for preserving pancreatic beta cell survival and function: a mechanistic review, Biomed. Pharmacother. 111 (2019) 947–957. https://doi.org/10.1016/j.biopha.2018.12.127.
Crossref Google Scholar
[82]

W. Ding, H. Liu, Z. Q. Qin, et al., Dietary antioxidant anthocyanins mitigate type II diabetes through improving the disorder of glycometabolism and insulin resistance, J. Agr. Food Chem. 69(45) (2021) 13350–13363. https://doi.org/10.1021/acs.jafc.1c05630.
Crossref Google Scholar
[83]

S. H. Mei, X. M. Chen, Investigation into the anti-inflammatory mechanism of coffee leaf extract in LPS-induced Caco-2/U937 co-culture model through cytokines and NMR-based untargeted metabolomics analyses, Food Chem. 404 (2023) 134592. https://doi.org/10.1016/j.foodchem.2022.134592.
Crossref Google Scholar
[84]

X. X. Ren, Y. Sun, Q. F. Guo, et al., Ameliorating effect of the total flavonoids of Morus nigra L. on prediabetic mice based on regulation of inflammation and insulin sensitization, J. Agr. Food Chem. 70(39) (2022) 12484–12501. https://doi.org/10.1021/acs.jafc.2c04970.
Crossref Google Scholar
[85]

M. W. Poulsen, R. V. Hedegaard, J. M. Andersen, et al., Advanced glycation endproducts in food and their effects on health, Food Chem. Toxicol. 60 (2013) 10–37. https://doi.org/10.1016/j.fct.2013.06.052.
Crossref Google Scholar
[86]

C. Z. P. Nie, Y. Li, H. F. Qian, et al., Advanced glycation end products in food and their effects on intestinal tract, Crit. Rev. Food Sci. 62(11) (2022) 3103–3115. https://doi.org/10.1080/10408398.2020.1863904.
Crossref Google Scholar
[87]
Z. B. Fan, W. Jia, A. Du, et al. , Complex pectin metabolism by Lactobacillus and Streptococcus suggests an effective control approach for Maillard harmful products in brown fermented milk, FR 2022. https://doi.org/10.1016/j.fmre.2022.12.003.
Crossref
[88]

R. ZAMORA, F. J. HIDALGO, Coordinate contribution of lipid oxidation and Maillard reaction to the nonenzymatic food browning, Crit. Rev. Food Sci. 45(1) (2005) 49–59. https://doi.org/10.1080/10408690590900117.
Crossref Google Scholar
[89]

M. E. Garay-Sevilla, A. Gomez-Ojeda, I. González I, et al., Contribution of RAGE axis activation to the association between metabolic syndrome and cancer, Mol. Cell Biochem. 476(3) (2021) 1555–1573. https://doi.org/10.1007/s11010-020-04022-z.
Crossref Google Scholar
[90]

W. Z. Yu, M. R. Tao, Y. L. Zhao, et al., 4’-Methoxyresveratrol alleviated AGE-induced inflammation via RAGE-mediated NF-κB and NLRP3 inflammasome pathway, Molecules 23(6) (2018) 1447. https://doi.org/10.3390/molecules23061447.
Crossref Google Scholar
[91]

C. H. Wu, C. M. Huang, C. H. Lin, et al., Advanced glycosylation end products induce NF-κB dependent iNOS expression in RAW 264.7 cells, Mol. Cell Endocrinol. 194(1) (2002) 9–17. https://doi.org/10.1016/S0303-7207(02)00212-5.
Crossref Google Scholar
[92]

Q. H. Song, J. J. Liu, L. Y. Dong, et al., Novel advances in inhibiting advanced glycation end product formation using natural compounds, Biomed. Pharmacother. 140 (2021) 111750. https://doi.org/10.1016/j.biopha.2021.111750.
Crossref Google Scholar
[93]

W. Jia, A. A. Guo, R. Zhang, et al., Mechanism of natural antioxidants regulating advanced glycosylation end products of Maillard reaction, Food Chem. 404 (2023) 134541. https://doi.org/10.1016/j.foodchem.2022.134541.
Crossref Google Scholar
[94]

W. Li, R. E. Maloney, M. L. Circu, et al., Acute carbonyl stress induces occludin glycation and brain microvascular endothelial barrier dysfunction: role for glutathione-dependent metabolism of methylglyoxal, Free Radical Bio. Med. 54 (2013) 51–61. https://doi.org/10.1016/j.freeradbiomed.2012.10.552.
Crossref Google Scholar
[95]

W. B. Zhao, P. J. Cai, N. Zhang, et al., Inhibitory effects of polyphenols from black chokeberry on advanced glycation end-products (AGEs) formation, Food Chem. 392 (2022) 133295. https://doi.org/10.1016/j.foodchem.2022.133295.
Crossref Google Scholar
[96]

Q. Z. Zhang, Z. J. Huang, Y. Wang, et al., Chinese bayberry (Myrica rubra) phenolics mitigated protein glycoxidation and formation of advanced glycation end-products: a mechanistic investigation, Food Chem. 361 (2021) 130102. https://doi.org/10.1016/j.foodchem.2021.130102.
Crossref Google Scholar
[97]

V. Gowd, L. H. Xie, C. D. Sun, et al., Phenolic profile of bayberry followed by simulated gastrointestinal digestion and gut microbiota fermentation and its antioxidant potential in HepG2 cells, J. Funct. Foods. 70 (2020) 103987. https://doi.org/10.1016/j.jff.2020.103987.
Crossref Google Scholar
[98]

D. Li, Y. Yang, L. Sun, et al., Effect of young apple (Malus domestica Borkh. cv. Red Fuji) polyphenols on alleviating insulin resistance, Food Bio. 36 (2020) 100637. https://doi.org/10.1016/j.fbio.2020.100637.
Crossref Google Scholar
[99]

J. U. Obaroakpo, L. Liu, S. Zhang, et al., In vitro modulation of glucagon-like peptide release by DPP-IV inhibitory polyphenol-polysaccharide conjugates of sprouted quinoa yoghurt, Food Chem. 324 (2020) 126857. https://doi.org/10.1016/j.foodchem.2020.126857.
Crossref Google Scholar
[100]

G. R. Gandhi, S. Ignacimuthu, M. G. Paulraj, Solanum torvum Swartz. fruit containing phenolic compounds shows antidiabetic and antioxidant effects in streptozotocin induced diabetic rats, Food Chem. Toxicol. 49(11) (2011) 2725–2733. https://doi.org/10.1016/j.fct.2011.08.005.
Crossref Google Scholar
[101]

H. Li, H. Park, H Ji, et al., Phenolic-enriched blueberry-leaf extract attenuates glucose homeostasis, pancreatic β-cell function, and insulin sensitivity in high-fat diet-induced diabetic mice, Nutr Res. 73 (2020) 83–96. https://doi.org/10.1016/j.nutres.2019.09.005.
Crossref Google Scholar
[102]

R. H. Elsayed, E. M. Kamel, A. M. Mahmoud, et al., Rumex dentatus L. phenolics ameliorate hyperglycemia by modulating hepatic key enzymes of carbohydrate metabolism, oxidative stress and PPARγ in diabetic rats, Food Chem. Toxicol. 138 (2020) 111202. https://doi.org/10.1016/j.fct.2020.111202.
Crossref Google Scholar
[103]

J. Abolghasemi, M. A. Farboodniay Jahromi, M. Hossein Sharifi, et al., Effects of Zataria oxymel on obesity, insulin resistance and lipid profile: a randomized, controlled, triple-blind trial, J. Integr. Med. 18(5) (2020) 401–408. https://doi.org/10.1016/j.joim.2020.06.003.
Crossref Google Scholar
[104]

D. Granato, A. Mocan, J. S. Câmara, Is a higher ingestion of phenolic compounds the best dietary strategy? A scientific opinion on the deleterious effects of polyphenols in vivo, Trends Food Sci. Tech. 98 (2020) 162–166. https://doi.org/10.1016/j.jpgs.2020.01.010.
Crossref Google Scholar
[105]

Ribnicky D M, Roopchand D E, Oren A, et al., Effects of a high fat meal matrix and protein complexation on the bioaccessibility of blueberry anthocyanins using the TNO gastrointestinal model (TIM-1), Food Chem. 142 (2014) 349–357. https://doi.org/10.1016/j.foodchem.2013.07.073.
Crossref Google Scholar
[106]

T. Wu, J. J. Yin, G. H. Zhang, et al., Mulberry and cherry anthocyanin consumption prevents oxidative stress and inflammation in diet-induced obese mice, Mol. Nutr. Food Res. 60(3) (2016) 687–694. https://doi.org/10.1002/mnfr.201500734.
Crossref Google Scholar
[107]

X. J. Wang, Z. T. Zhao, Improved encapsulation capacity of casein micelles with modified structure, J. Food Eng. 333 (2022) 111138. https://doi.org/10.1016/j.jfoodeng.2022.111138.
Crossref Google Scholar
[108]

A. Samadder, D. Tarafdar, S. K. Abraham, et al., Nano-pelargonidin protects hyperglycemic-induced L6 cells against mitochondrial dysfunction, Planta Med. 83(5) (2017) 468–475. https://doi.org/10.1055/s-0043-100017.
Crossref Google Scholar
[109]

J. Liu, Z. Q. Chen, J. Wang, et al., Encapsulation of curcumin nanoparticles with MMP9-responsive and thermos-sensitive hydrogel improves diabetic wound healing, ACS Appl. Mater. Interfaces. 10(19) (2018) 16315–16326. https://doi.org/10.1021/acsami.8b03868.
Crossref Google Scholar
[110]

E. H. Gokce, S. Tuncay Tanrıverdi, I. Eroglu, et al., Wound healing effects of collagen-laminin dermal matrix impregnated with resveratrol loaded hyaluronic acid-DPPC microparticles in diabetic rats, Eur. J. Pharm. Biopharm. 119 (2017) 17–27. https://doi.org/10.1016/j.ejpb.2017.04.027.
Crossref Google Scholar
[111]

D. Pham-Hua, L. E. Padgett, B. Xue, et al., Islet encapsulation with polyphenol coatings decreases pro-inflammatory chemokine synthesis and T cell trafficking, Biomaterials. 128 (2017) 19–32. https://doi.org/10.1016/j.biomaterials.2017.03.002.
Crossref Google Scholar
[112]

L. M. Christman, L. L. Dean, J. C. Allen, et al., Peanut skin phenolic extract attenuates hyperglycemic responses in vivo and in vitro, PLoS ONE 14(3) (2019) e214591. https://doi.org/10.1371/journal.pone.0214591.
Crossref Google Scholar
[113]

C. Zhao, G. P. Chen, H. Wang, et al., Bio-inspired intestinal scavenger from microfluidic electrospray for detoxifying lipopolysaccharide, Bioact. Mater. 6(6) (2021) 1653–1662. https://doi.org/10.1016/j.bioactmat.2020.11.017.
Crossref Google Scholar
[114]

G. Matacchione, F. Gurău, S. Baldoni, et al., Pleiotropic effects of polyphenols on glucose and lipid metabolism: focus on clinical trials, Ageing Res. Rev. 61 (2020) 101074. https://doi.org/10.1016/j.arr.2020.101074.
Crossref Google Scholar
[115]

Y. T. Wang, T. Ying, J. X. Li, et al., Hierarchical micro/nanofibrous scaffolds incorporated with curcumin and zinc ion eutectic metal organic frameworks for enhanced diabetic wound healing via anti-oxidant and anti-inflammatory activities, Chem. Eng. J. 402 (2020) 126273. https://doi.org/10.1016/j.cej.2020.126273.
Crossref Google Scholar
[116]

M. S. Costamagna, L. G. Gómez-Mascaraque, I. C. Zampini, et al., Microencapsulated chañar phenolics: a potential ingredient for functional foods development, J. Funct. Foods 37 (2017) 523–530. https://doi.org/10.1016/j.jff.2017.08.018.
Crossref Google Scholar
[117]

L. Chen, C. Gnanaraj, P. Arulselvan, et al., A review on advanced microencapsulation technology to enhance bioavailability of phenolic compounds: based on its activity in the treatment of type 2 diabetes, Trends Food Sci. Tech. 85 (2019) 149–162. https://doi.org/10.1016/j.jpgs.2018.11.026.
Crossref Google Scholar
[118]

F. F. de Araújo, D. de Paulo Farias, I. A. Neri-Numa, et al., Polyphenols and their applications: an approach in food chemistry and innovation potential, Food Chem. 338 (2021) 127535. https://doi.org/10.1016/j.foodchem.2020.127535.
Crossref Google Scholar
Food Science of Animal Products
Volume 1 Issue 4,
December 2023
Article number: 9240043
DOI: 10.26599/FSAP.2023.9240043
Cite this article:
Song H, Jia W. Beneficial effects of food-derived polyphenols on type 2 diabetes: mechanistic insights based on gut microbiota alterations and anti-inflammatory responses. Food Science of Animal Products, 2023, 1(4): 9240043. https://doi.org/10.26599/FSAP.2023.9240043

1614

Views

138

Downloads

0

Crossref

Altmetrics
Received: 23 December 2023
Revised: 24 December 2023
Accepted: 29 December 2023
Published: 20 February 2024
© Beijing Academy of Food Sciences 2023.

Food Science of Animal Products published by Tsinghua University Press. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Return