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Open Access

Effect of exogenous free Nε-(carboxymethyl)lysine on diabetes-associated cognitive dysfunction: neuroinflammation, and metabolic disorders

Huang Zhanga,bLan MoaXi ChenaMei LicMaiquan LiaYang XuaMaomao ZengdZhiyong HedQingwu ShenaJie Chend( )Wei Quana,d( )
College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China
Henan University of Animal Husbandry and Economy, Zhengzhou 450046, China
College of Food Science and Engineering, Northwest A&F University, Yangling 712100, China
State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, China

Peer review under responsibility of Tsinghua University Press.

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Abstract

Diabetes-associated cognitive dysfunction has already been attracted considerable attention. Advanced glycation end products (AGEs) from daily diets are thought to be a vital contributor to the development of this diseases. However, the effect of one of the best-characterized exogenous AGEs Nε-(carboxymethyl)lysine (CML) on cognitive function is not fully reported. In the present study, diabetical Goto-Kakizaki (GK) rats were treated with free CML for 8-weeks. It was found that oral consumption of exogenous CML significantly aggravated diabetes-associated cognitive dysfunction in behavioral test. In details, exogenous CML increased levels of oxidative stress, promoted the activation of glial cells in the brain, up-regulated the release of inflammatory cytokines interleukin-6, inhibited the protein expression of the brain-derived neurotrophic factor and thus led to neuroinflammation. Furthermore, exogenous CML promoted the amyloidogenesis in the brain of GK rats, and inhibited the expression of GLUT4. Additionally, several tricarboxylic acid cycle and glutamate-glutamine/γ-aminobutyric acid cycle intermediates including pyruvate, succinic acid, glutamine, glutamate were significantly changed in brain of GK rats treated with exogenous free CML. In conclusion, exogenous free CML is a potentially noxious compounds led to aggravated diabetes-associated cognitive dysfunction which could be possibly explained by its effects on neuroinflammation, energy and neurotransmitter amino acid homeostasis.

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References

[1]

P. Saeedi, I. Petersohn, P. Salpea, et al., Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, Diabetes Res. Clin. Pr. 157 (2019) 107843. http://doi.org/10.1016/j.diabres.2019.107843.

[2]

T.T. van Sloten, S. Sedaghat, M.R. Carnethon, et al., Cerebral microvascular complications of type 2 diabetes: stroke, cognitive dysfunction, and depression, Lancet Diabetes. Endo. 8 (2020) 325-336. http://doi.org/10.1016/S2213-8587(19)30405-X.

[3]

L. Ma, J. Wang, Y. Li, Insulin resistance and cognitive dysfunction, Clin. Chim. Acta 444 (2015) 18-23. http://doi.org/10.1016/j.cca.2015.01.027.

[4]

R. Simó, A. Ciudin, O. Simó-Servat, et al., Cognitive impairment and dementia: a new emerging complication of type 2 diabetes-the diabetologist’s perspective, Acta Diabetol 54 (2017) 417-424. http://doi.org/10.1007/s00592-017-0970-5.

[5]

J.A. Luchsinger, Type 2 diabetes and cognitive impairment: linking mechanisms, J. Alzheimer’s Dis. 30 (2012) S185-S198. http://doi.org/10.3233/JAD-2012-111433.

[6]

G.J. Biessels, R.A. Whitmer, Cognitive dysfunction in diabetes: how to implement emerging guidelines, Diabetol 63 (2020) 3-9. http://doi.org/10.1007/s00125-019-04977-9.

[7]

J. Chen, S.S. Mooldijk, S. Licher, et al., Assessment of advanced glycation end products and receptors and the risk of dementia, JAMA Netw Open 4 (2021) e2033012. http://doi.org/10.1001/jamanetworkopen.2020.33012.

[8]

H. Vlassara, J. Uribarri, Advanced glycation end products (AGE) and diabetes: cause, effect, or both? Curr. Diabetes Rep. 14 (2014) 1-10. http://doi.org/10.1007/s11892-013-0453-1.

[9]

S.Y. Goh, M.E. Cooper, The role of advanced glycation end products in progression and complications of diabetes, J. Clin. Endocr. Metab. 93 (2008) 1143-1152. http://doi.org/10.1210/jc.2007-1817.

[10]

K. Yaffe, K. Lindquist, A. Schwartz, et al., Advanced glycation end product level, diabetes, and accelerated cognitive aging, Neurology 77 (2011) 1351-1356. http://doi.org/10.1212/WNL.0b013e3182315a56.

[11]

K. Prasad, AGE-RAGE stress: a changing landscape in pathology and treatment of Alzheimer’s disease, Mol. Cell Biochem. 459 (2019) 95-112. http://doi.org/10.1007/s11010-019-03553-4.

[12]

G.J. Biessels, F. Despa, Cognitive decline and dementia in diabetes mellitus: mechanisms and clinical implications, Nat. Rev. Endocrinol. 14 (2018) 591-604. http://doi.org/10.1038/s41574-018-0048-7.

[13]

P.S. Chou, M.N. Wu, C.C. Yang, et al., Effect of advanced glycation end products on the progression of Alzheimer’s disease, J. Alzheimer’s Dis. 72 (2019) 191-197. http://doi.org/10.3233/JAD-190639.

[14]

Y. Kong, F. Wang, J. Wang, et al., Pathological mechanisms linking diabetes mellitus and Alzheimer’s disease: the receptor for advanced glycation end products (RAGE), Front. Aging Neurosci. 12 (2020) 217. http://doi.org/10.3389/fnagi.2020.00217.

[15]

Z. Liang, X. Chen, L. Li, et al., The fate of dietary advanced glycation end products in the body: from oral intake to excretion, Crit. Rev. Food Sci. 60 (2020) 3475-3491. http://doi.org/10.1080/10408398.2019.1693958.

[16]

F.J. Tessier, C. Niquet-Léridon, P. Jacolot, et al., Quantitative assessment of organ distribution of dietary protein-bound 13C-labeled Nε-carboxymethyllysine after a chronic oral exposure in mice, Mol. Nutr. Food Res. 60 (2016) 2446-2456. http://doi.org/10.1002/mnfr.201600140.

[17]

G. Chen, Dietary N-epsilon-carboxymethyllysine as for a major glycotoxin in foods: a review, Compr. Rev. Food Sci. 20 (2021) 4931-4949. http://doi.org/10.1111/1541-4337.12817.

[18]

Q. Wei, T. Liu, D.W. Sun, Advanced glycation end-products (AGEs) in foods and their detecting techniques and methods: a review, Trends Food Sci. Tech. 82 (2018) 32-45. http://doi.org/10.1016/j.tifs.2018.09.020.

[19]

G.L. Hull, J.V. Woodside, J.M. Ames, et al., Nε-(carboxymethyl) lysine content of foods commonly consumed in a Western style diet, Food Chem. 131 (2012) 170-174. http://doi.org/10.1016/j.foodchem.2011.08.055.

[20]

J.L. Scheijen, E. Clevers, L. Engelen, et al., Analysis of advanced glycation endproducts in selected food items by ultra-performance liquid chromatography tandem mass spectrometry: presentation of a dietary AGE database, Food Chem. 190 (2016) 1145-1150. http://doi.org/10.1016/j.foodchem.2015.06.049.

[21]

F.J. Tessier, I. Birlouez-Aragon, Health effects of dietary Maillard reaction products: the results of ICARE and other studies, Amino Acids 42 (2012) 1119-1131. http://doi.org/10.1007/s00726-010-0776-z.

[22]

R. Cordova, V. Knaze, V. Viallon, et al., Dietary intake of advanced glycation end products (AGEs) and changes in body weight in European adults, Eur. J. Nutr. 59 (2020) 2893-2904. http://doi.org/10.1007/s00394-019-02129-8.

[23]

I. Birlouez-Aragon, G. Saavedra, F.J. Tessier, et al., A diet based on high-heat-treated foods promotes risk factors for diabetes mellitus and cardiovascular diseases, Am. J. Clin. Nutr. 91 (2010) 1220-1226. http://doi.org/10.3945/ajcn.2009.28737.

[24]

M. Li, M. Zeng, Z. He, et al., Increased accumulation of protein-bound Nε-(carboxymethyl)lysine in tissues of healthy rats after chronic oral Nε-(carboxymethyl)lysine, J. Agri. Food Chem. 63 (2015) 1658-1663. http://doi.org/10.1021/jf505063t.

[25]

M. Li, M. Zeng, Z. He, et al., Effects of long-term exposure to free Nε-(carboxymethyl)lysine on rats fed a high-fat diet, J. Agri. Food Chem. 63 (2015) 10995-11001. http://doi.org/10.1021/acs.jafc.5b05750.

[26]

W. Quan, Y. Jiao, C. Xue, et al., The effect of exogenous free Nε-(carboxymethyl)lysine on diabetic-model goto-kakizaki rats: metabolomics analysis in serum and urine, J. Agri. Food Chem. 69 (2021) 783-793. http://doi.org/10.1021/acs.jafc.0c06445.

[27]

W. Quan, M. Li, Y. Jiao, et al., Effect of dietary exposure to acrylamide on diabetes-associated cognitive dysfunction from the perspectives of oxidative damage, neuroinflammation, and metabolic disorders, J. Agri. Food Chem. 70 (2022) 4445-4456. http://doi.org/10.1021/acs.jafc.2c00662.

[28]

W. Zhang, H. Hua, Y. Guo, et al., Torularhodin from Sporidiobolus pararoseus attenuates D-galactose/AlCl3-induced cognitive impairment, oxidative stress, and neuroinflammation via the Nrf2/NF-κB pathway, J. Agri. Food Chem. 68 (2020) 6604-6614. http://doi.org/10.1021/acs.jafc.0c01892.

[29]

S.M. Lai, Z.T. Gu, M.M. Zhao, et al., Toxic effect of acrylamide on the development of hippocampal neurons of weaning rats, Neural. Regen. Res. 12 (2017) 1648. http://doi.org/10.4103/1673-5374.217345.

[30]

Z. Liang, S. Bai, P. Shen, et al., GC-MS-based metabolomic study on the antidepressant-like effects of diterpene ginkgolides in mouse hippocampus, Behav. Brain Res. 314 (2016) 116-124. http://doi.org/10.1016/j.bbr.2016.08.001.

[31]

W. Quan, Y. Jiao, Y. Li, et al., Metabolic changes from exposure to harmful Maillard reaction products and high-fat diet on Sprague-Dawley rats, Food Res. Int. 141 (2021) 110129. http://doi.org/10.1016/j.foodres.2021.110129.

[32]

T. Wang, C. Xu, S. Xu, et al., Untargeted metabolomics analysis by gas chromatography/time-of-flight mass spectrometry of human serum from methamphetamine abusers, Addict. Biol. 26 (2021) e13062. http://doi.org/10.1111/adb.13062.

[33]

Y. Ni, Y. Qiu, W. Jiang, et al., ADAP-GC 2.0: deconvolution of coeluting metabolites from GC/TOF-MS data for metabolomics studies, Anal. Chem. 84 (2012) 6619-6629. http://doi.org/10.1021/ac300898h.

[34]

Y. Ni, M. Su, Y. Qiu, et al., ADAP-GC 3.0: improved peak detection and deconvolution of co-eluting metabolites from GC/TOF-MS data for metabolomics studies, Anal. Chem. 88 (2016) 8802-8811. http://doi.org/10.1021/acs.analchem.6b02222.

[35]

A. Mulati, S. Ma, H. Zhang, et al., Sea-buckthorn flavonoids alleviate high-fat and high-fructose diet-induced cognitive impairment by inhibiting insulin resistance and neuroinflammation, J. Agri. Food Chem. 68 (2020) 5835-5846. http://doi.org/10.1021/acs.jafc.0c00876.

[36]

D. Kaur, V. Sharma, R. Deshmukh, Activation of microglia and astrocytes: a roadway to neuroinflammation and Alzheimer’s disease, Inflammopharmacology 27 (2019) 663-677. http://doi.org/10.1007/s10787-019-00580-x.

[37]

S.K. Kim, Y.H. Ko, S.Y. Lee, et al., Memory-enhancing effects of 7,3’,4’-trihydroxyisoflavone by regulation of cholinergic function and BDNF signaling pathway in mice, Food Chem. Toxicol. 137 (2020) 111160. http://doi.org/10.1016/j.fct.2020.111160.

[38]

J. Cui, G. Wang, A.D. Kandhare, et al., Neuroprotective effect of naringin, a flavone glycoside in quinolinic acid-induced neurotoxicity: possible role of PPAR-γ, Bax/Bcl-2, and caspase-3, Food Chem. Toxicol. 121 (2018) 95-108. http://doi.org/10.1016/j.fct.2018.08.028.

[39]

J. Gasic-Milenkovic, S. Dukic-Stefanovic, W. Deuther-Conrad, et al., β-Amyloid peptide potentiates inflammatory responses induced by lipopolysaccharide, interferon-γ and ‘advanced glycation endproducts’ in a murine microglia cell line, Eur. J. Neurosci. 17 (2003) 813-821. http://doi.org/10.1046/j.1460-9568.2003.02506.x.

[40]

M. Suzanne, Insulin resistance and Alzheimer’s disease, BMB Rep. 42 (2009) 475. http://doi.org/10.5483/bmbrep.2009.42.8.475.

[41]

Y. Wu, Y. Li, L. Zheng, et al., The neurotoxicity of Nε-(carboxymethyl) lysine in food processing by a study based on animal and organotypic cell culture, Ecotox. Environ. Safe 190 (2020) 110077. http://doi.org/10.1016/j.ecoenv.2019.110077.

[42]

Q. Zhang, Y. Wang, L. Fu, Dietary advanced glycation end-products: perspectives linking food processing with health implications, Compr. Rev. Food Sci. 19 (2020) 2559-2587. http://doi.org/10.1111/1541-4337.12593.

[43]

Y.S. Gong, F.L. Hou, J. Guo, et al., Effects of alcohol intake on cognitive function and β-amyloid protein in APP/PS1 transgenic mice, Food Chem. Toxicol. 151 (2021) 112105. http://doi.org/10.1016/j.fct.2021.112105.

[44]

R.M.A.H. Ahmad, H.A. Al-Domi, Thinking about brain insulin resistance, Diabetes Metab. Synd. 12 (2018) 1091-1094. http://doi.org/10.1016/j.dsx.2018.05.003.

[45]

H. Zheng, Y. Zheng, L. Zhao, et al., Cognitive decline in type 2 diabetic db/db mice may be associated with brain region-specific metabolic disorders, BBA-Mol. Basis Dis. 1863 (2017) 266-273. http://doi.org/10.1016/j.bbadis.2016.11.003.

[46]

Y. Zheng, Y. Yang, B. Dong, et al., Metabonomic profiles delineate potential role of glutamate-glutamine cycle in db/db mice with diabetes-associated cognitive decline, Mol. Brain 9 (2016) 1-9. http://doi.org/10.1186/s13041-016-0223-5.

[47]

X. Zhao, Q. Han, Y. Lv, et al., Biomarkers for cognitive decline in patients with diabetes mellitus: evidence from clinical studies, Oncotarget 9 (2018) 7710. http://doi.org/10.18632/oncotarget.23284.

Food Science and Human Wellness
Pages 2970-2981
Cite this article:
Zhang H, Mo L, Chen X, et al. Effect of exogenous free Nε-(carboxymethyl)lysine on diabetes-associated cognitive dysfunction: neuroinflammation, and metabolic disorders. Food Science and Human Wellness, 2024, 13(5): 2970-2981. https://doi.org/10.26599/FSHW.2022.9250240

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Received: 02 February 2023
Revised: 19 May 2023
Accepted: 12 July 2023
Published: 10 October 2024
© 2024 Beijing Academy of Food Sciences. Publishing services 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/).

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