Dietary polyphenols: Regulate the advanced glycation end products-RAGE axis and the microbiota-gut-brain axis to prevent neurodegenerative diseases
Abstract
Advanced glycation end products (AGEs) are formed in non-enzymatic reaction, oxidation, rearrangement and cross-linking between the active carbonyl groups of reducing sugars and the free amines of amino acids. The Maillard reaction is related to sensory characteristics in thermal processed food, while AGEs are formed in food matrix in this process. AGEs are a key link between carbonyl stress and neurodegenerative disease. AGEs can interact with receptors for AGEs (RAGE), causing oxidative stress, inflammation response and signal pathways activation related to neurodegenerative diseases. Neurodegenerative diseases are closely related to gut microbiota imbalance and intestinal inflammation. Polyphenols with multiple hydroxyl groups showed a powerful ability to scavenge ROS and capture α-dicarbonyl species, which led to the formation of mono- and di- adducts, thereby inhibiting AGEs formation. Neurodegenerative diseases can be effectively prevented by inhibiting AGEs production, and interaction with RAGEs, or regulating the microbiota-gut-brain axis. These strategies include polyphenols multifunctional effects on AGEs inhibition, RAGE-ligand interactions blocking, and regulating the abundance and diversity of gut microbiota, and intestinal inflammation alleviation to delay or prevent neurodegenerative diseases progress. It is a wise and promising strategy to supplement dietary polyphenols for preventing neurodegenerative diseases via AGEs-RAGE axis and microbiota-gut-brain axis regulation.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The gut microbiota is an important participant in the bidirectional exchange of information between the gut and the brain (microbiota-gut-brain axis).
“The gut microbiota is an important participant in the bidirectional exchange of information between the gut and the brain, which is described as the microbiota–gut–brain axis [5].”
From The Potential Impact of Probiotics on Human Health: An Update on Their Health-Promoting Properties (2024) · cites this paper as [5]
Cites
1 retracted
Mani, S., Sekar, S., Barathidasan, R., Manivasagam, T., Thenmozhi, A. J., Sevanan, M., Chidambaram, S. B., Essa, M. M., Guillemin, G. J., & Sakharkar, M. K. (2018) · Neurotoxicity Research · doi:10.1007/s12640-018-9869-3 · Cited by 78 · see citing works
RetractedCryan, J. F., O'Riordan, K. J., Cowan, C. S. M., Sandhu, K. V., Bastiaanssen, T. F. S., Boehme, M., Codagnone, M. G., Cussotto, S., Fulling, C., Golubeva, A. V., et al. (2019) · Physiological Reviews · doi:10.1152/physrev.00018.2018 · Cited by 5,286 · cited 1× · see citing works
“(v) Controlling the production of neurotransmitters that may enter the blood circulation and cross blood brain barrier (BBB), which mainly included gamma-aminobutyric acid (GABA), acetylcholine, 5-HT and dopamine (Cryan et al. 2019; Kennedy et al. 2017; Morais, Schreiber, and Mazmanian 2021).”
BackgroundHost microbiota constantly control maturation and function of microglia in the CNS
Erny, D., Hrabě de Angelis, A. L., Jaitin, D., Wieghofer, P., Staszewski, O., David, E., Keren-Shaul, H., Mahlakoiv, T., Jakobshagen, K., Buch, T., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4030 · Cited by 3,569 · see citing works
Gut Microbiota Regulation of Tryptophan Metabolism in Health and Disease
Agus, A., Planchais, J., & Sokol, H. (2018) · Cell Host & Microbe · doi:10.1016/j.chom.2018.05.003 · Cited by 3,180 · cited 1× · see citing works
“Therefore, the content of serotonin in the brain can be affected via regulating the amount of serotonin precursor-tryptophan produced by the microbiota (Agus, Planchais, and Sokol 2018).”
BackgroundOxidative Stress: A Key Modulator in Neurodegenerative Diseases
Singh, A., Kukreti, R., Saso, L., & Kukreti, S. (2019) · Molecules · doi:10.3390/molecules24081583 · Cited by 2,305 · see citing works
The gut microbiota–brain axis in behaviour and brain disorders
Morais, L. H., Schreiber, H. L., & Mazmanian, S. K. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-020-00460-0 · Cited by 2,149 · see citing works
Gut microbiome alterations in Alzheimer’s disease
Vogt, N. M., Kerby, R. L., Dill-McFarland, K. A., Harding, S. J., Merluzzi, A. P., Johnson, S. C., Carlsson, C. M., Asthana, S., Zetterberg, H., Blennow, K., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-13601-y · Cited by 2,137 · see citing works
Dietary phenolics: chemistry, bioavailability and effects on health
Crozier, A., Jaganath, I. B., & Clifford, M. N. (2009) · Natural Product Reports · doi:10.1039/b802662a · Cited by 2,002 · see citing works
Kelly, C. J., Zheng, L., Campbell, E. L., Saeedi, B., Scholz, C. C., Bayless, A. J., Wilson, K. E., Glover, L. E., Kominsky, D. J., Magnuson, A., et al. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2015.03.005 · Cited by 1,716 · see citing works
Cognitive decline and dementia in diabetes mellitus: mechanisms and clinical implications
Biessels, G. J., & Despa, F. (2018) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0048-7 · Cited by 1,454 · see citing works
Cattaneo, A., Cattane, N., Galluzzi, S., Provasi, S., Lopizzo, N., Festari, C., Ferrari, C., Guerra, U. P., Paghera, B., Muscio, C., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.08.019 · Cited by 1,382 · see citing works
Unger, M. M., Spiegel, J., Dillmann, K.-U., Grundmann, D., Philippeit, H., Bürmann, J., Faßbender, K., Schwiertz, A., & Schäfer, K.-H. (2016) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2016.08.019 · Cited by 1,159 · see citing works
Tryptophan Metabolism: A Link Between the Gut Microbiota and Brain
Gao, K., Mu, C.-L., Farzi, A., & Zhu, W.-Y. (2020) · Advances in Nutrition · doi:10.1093/advances/nmz127 · Cited by 1,029 · see citing works
From gut dysbiosis to altered brain function and mental illness: mechanisms and pathways
Rogers, G. B., Keating, D. J., Young, R. L., Wong, M.-L., Licinio, J., & Wesselingh, S. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.50 · Cited by 969 · see citing works
Direct evidence of Parkinson pathology spread from the gastrointestinal tract to the brain in rats
Holmqvist, S., Chutna, O., Bousset, L., Aldrin-Kirk, P., Li, W., Björklund, T., Wang, Z.-Y., Roybon, L., Melki, R., & Li, J.-Y. (2014) · Acta Neuropathologica · doi:10.1007/s00401-014-1343-6 · Cited by 925 · see citing works
Reduction of Abeta amyloid pathology in APPPS1 transgenic mice in the absence of gut microbiota
Harach, T., Marungruang, N., Duthilleul, N., Cheatham, V., Mc Coy, K. D., Frisoni, G., Neher, J. J., Fåk, F., Jucker, M., Lasser, T., et al. (2017) · Scientific Reports · doi:10.1038/srep41802 · Cited by 901 · see citing works
Hill‐Burns, E. M., Debelius, J. W., Morton, J. T., Wissemann, W. T., Lewis, M. R., Wallen, Z. D., Peddada, S. D., Factor, S. A., Molho, E., Zabetian, C. P., et al. (2017) · Movement Disorders · doi:10.1002/mds.26942 · Cited by 874 · see citing works
Brain-Gut-Microbiota Axis in Alzheimer’s Disease
Kowalski, K., & Mulak, A. (2019) · Journal of Neurogastroenterology and Motility · doi:10.5056/jnm18087 · Cited by 826 · see citing works
Vagotomy and subsequent risk of <scp>P</scp> arkinson's disease
Svensson, E., Horváth‐Puhó, E., Thomsen, R. W., Djurhuus, J. C., Pedersen, L., Borghammer, P., & Sørensen, H. T. (2015) · Annals of Neurology · doi:10.1002/ana.24448 · Cited by 806 · see citing works
Oxidative Stress in Neurodegenerative Diseases
Niedzielska, E., Smaga, I., Gawlik, M., Moniczewski, A., Stankowicz, P., Pera, J., & Filip, M. (2016) · Molecular Neurobiology · doi:10.1007/s12035-015-9337-5 · Cited by 800 · see citing works
Sun, M.-F., Zhu, Y.-L., Zhou, Z.-L., Jia, X.-B., Xu, Y.-D., Yang, Q., Cui, C., & Shen, Y.-Q. (2018) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2018.02.005 · Cited by 736 · see citing works
Self-citationKynurenine pathway metabolism and the microbiota-gut-brain axis
Kennedy, P. J., Cryan, J. F., Dinan, T. G., & Clarke, G. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2016.07.002 · Cited by 724 · see citing works
Xue, M., Xu, W., Ou, Y.-N., Cao, X.-P., Tan, M.-S., Tan, L., & Yu, J.-T. (2019) · Ageing Research Reviews · doi:10.1016/j.arr.2019.100944 · Cited by 715 · cited 1× · see citing works
“Diabetes increased the risk of cognitive impairment (cognitive impairment and dementia) by 1.25-to 1.91-fold (Xue et al. 2019).”
BackgroundInfluentialRomano, S., Savva, G. M., Bedarf, J. R., Charles, I. G., Hildebrand, F., & Narbad, A. (2021) · npj Parkinson's Disease · doi:10.1038/s41531-021-00156-z · Cited by 707 · see citing works
Molecular Mechanisms Linking Oxidative Stress and Diabetes Mellitus
Yaribeygi, H., Sathyapalan, T., Atkin, S. L., & Sahebkar, A. (2020) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2020/8609213 · Cited by 689 · see citing works
Chaudhuri, J., Bains, Y., Guha, S., Kahn, A., Hall, D., Bose, N., Gugliucci, A., & Kapahi, P. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.08.014 · Cited by 669 · cited 1× · see citing works
“It mainly occurred in the process of oxidative stress and gradually accumulated in normal tissue with age (Chaudhuri et al. 2018).”
BackgroundMicroglia Induce Motor Neuron Death via the Classical NF-κB Pathway in Amyotrophic Lateral Sclerosis
Frakes, A. E., Ferraiuolo, L., Haidet-Phillips, A. M., Schmelzer, L., Braun, L., Miranda, C. J., Ladner, K. J., Bevan, A. K., Foust, K. D., Godbout, J. P., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.01.013 · Cited by 638 · see citing works
The Case for Anthocyanin Consumption to Promote Human Health: A Review
Pojer, E., Mattivi, F., Johnson, D., & Stockley, C. S. (2013) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12024 · Cited by 636 · see citing works
The gut-brain axis: is intestinal inflammation a silent driver of Parkinson’s disease pathogenesis?
Houser, M. C., & Tansey, M. G. (2017) · npj Parkinson's Disease · doi:10.1038/s41531-016-0002-0 · Cited by 588 · see citing works
Ageing, age-related diseases and oxidative stress: What to do next?
Luo, J., Mills, K., le Cessie, S., Noordam, R., & van Heemst, D. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2019.100982 · Cited by 581 · see citing works
Anthocyanins in aged blueberry-fed rats are found centrally and may enhance memory
Andrés‐Lacueva, C., Shukitt‐Hale, B., Galli, R. L., Jáuregui, O., Lamuela-Raventós, R. M., & Joseph, J. A. (2005) · Nutritional Neuroscience · doi:10.1080/10284150500078117 · Cited by 564 · see citing works
Aberrations in Peripheral Inflammatory Cytokine Levels in Parkinson Disease
Qin, X., Zhang, S., Cao, C. Q., Loh, Y. P., & Cheng, Y. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.2742 · Cited by 557 · see citing works
The role of mitochondria in amyotrophic lateral sclerosis
Smith, E. F., Shaw, P. J., & Vos, K. J. D. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.06.052 · Cited by 556 · see citing works
Bian, X., Wu, W., Yang, L., Lv, L., Wang, Q., Li, Y., Ye, J., Fang, D., Wu, J., Jiang, X., et al. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.02259 · Cited by 529 · see citing works
Self-citationIntestinal dysbiosis and lowered serum lipopolysaccharide-binding protein in Parkinson's disease
Hasegawa, S., Goto, S., Tsuji, H., Okuno, T., Asahara, T., Nomoto, K., Shibata, A., Fujisawa, Y., Minato, T., Okamoto, A., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0142164 · Cited by 523 · see citing works
Gram-negative bacterial molecules associate with Alzheimer disease pathology
Zhan, X., Stamova, B., Jin, L.-W., DeCarli, C., Phinney, B., & Sharp, F. R. (2016) · Neurology · doi:10.1212/wnl.0000000000003391 · Cited by 521 · see citing works
Anxiety disorders and GABA neurotransmission: a disturbance of modulation
Nuss, P. (2015) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s58841 · Cited by 482 · see citing works
Ali, T., Kim, T. H., Rehman, S. U., Khan, M. S., Amin, F. U., Khan, M., Ikram, M. A., & Kim, M. O. (2017) · Molecular Neurobiology · doi:10.1007/s12035-017-0798-6 · Cited by 477 · see citing works
Role of TLR4 in the gut-brain axis in Parkinson's disease: A translational study from men to mice
Perez-Pardo, P., Dodiya, H. B., Engen, P. A., Forsyth, C. B., Huschens, A. M., Shaikh, M., Voigt, R. M., Naqib, A., Green, S. J., Kordower, J. H., et al. (2019) · Gut · doi:10.1136/gutjnl-2018-316844 · Cited by 467 · see citing works
Is alpha-synuclein in the colon a biomarker for premotor Parkinson’s disease? Evidence from 3 cases
Shannon, K. M., Keshavarzian, A., Dodiya, H. B., Jakate, S., & Kordower, J. H. (2012) · Movement Disorders · doi:10.1002/mds.25020 · Cited by 464 · see citing works
Antibiotics, gut microbiota, and Alzheimer’s disease
Angelucci, F., Cechova, K., Amlerova, J., & Hort, J. (2019) · Journal of Neuroinflammation · doi:10.1186/s12974-019-1494-4 · Cited by 454 · see citing works
Etxeberria, U., Arias, N., Boqué, N., Macarulla, M. T., Portillo, M. P., Martínez, J. A., & Milagro, F. I. (2015) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2015.01.002 · Cited by 446 · see citing works
Aho, V. T. E., Houser, M. C., Pereira, P. A. B., Chang, J., Rudi, K., Paulin, L., Hertzberg, V., Auvinen, P., Tansey, M. G., & Scheperjans, F. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00427-6 · Cited by 435 · see citing works
Gut-seeded α-synuclein fibrils promote gut dysfunction and brain pathology specifically in aged mice
Challis, C., Hori, A., Sampson, T. R., Yoo, B. B., Challis, R. C., Hamilton, A. M., Mazmanian, S. K., Volpicelli-Daley, L. A., & Gradinaru, V. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0589-7 · Cited by 405 · see citing works
The role of the immune system in governing host-microbe interactions in the intestine
Brown, E., Sadarangani, M., & Finlay, B. B. (2013) · Nature Immunology · doi:10.1038/ni.2611 · Cited by 403 · see citing works
Gut microbiome and depression: what we know and what we need to know
Winter, G., Hart, R. A., Charlesworth, R. P. G., & Sharpley, C. F. (2018) · Reviews in the Neurosciences · doi:10.1515/revneuro-2017-0072 · Cited by 394 · see citing works
Ho, L., Ono, K., Tsuji, M., Mazzola, P., Singh, R., & Pasinetti, G. M. (2018) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2018.1400909 · Cited by 376 · see citing works
<scp>Meta‐Analysis</scp> of Gut Dysbiosis in Parkinson's Disease
Nishiwaki, H., Ito, M., Ishida, T., Hamaguchi, T., Maeda, T., Kashihara, K., Tsuboi, Y., Ueyama, J., Shimamura, T., Mori, H., et al. (2020) · Movement Disorders · doi:10.1002/mds.28119 · Cited by 370 · see citing works
Byun, K., Yoo, Y., Son, M., Lee, J., Jeong, G.-B., Park, Y. M., Salekdeh, G. H., & Lee, B. (2017) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2017.02.030 · Cited by 357 · see citing works
Intestinal epithelial vitamin D receptor deletion leads to defective autophagy in colitis
Wu, S., Zhang, Y., Lu, R., Xia, Y., Zhou, D., Petrof, E. O., Claud, E. C., Chen, D., Chang, E. B., Carmeliet, G., et al. (2014) · Gut · doi:10.1136/gutjnl-2014-307436 · Cited by 346 · see citing works
Self-citationElfawy, H. A., & Das, B. B. (2018) · Life Sciences · doi:10.1016/j.lfs.2018.12.029 · Cited by 343 · see citing works
Çatalkaya, G., Venema, K., Lucini, L., Rocchetti, G., Delmas, D., Daglia, M., Filippis, A. D., Xiao, H., Quiles, J. L., Xiao, J., et al. (2020) · Food Frontiers · doi:10.1002/fft2.25 · Cited by 339 · see citing works
Interplay between Anthocyanins and Gut Microbiota
Faria, A., Fernandes, I., Norberto, S., Mateus, N. F. D. C. B., & Calhau, C. (2014) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf501808a · Cited by 320 · see citing works
Zhao, L., Wang, J., Liu, R., Li, X., Li, J., & Zhang, L. (2013) · Molecules · doi:10.3390/molecules18089949 · Cited by 311 · see citing works
Morris, G., Berk, M., Carvalho, A. F., Caso, J. R., Sanz, Y., Walder, K. R., & Maes, M. H. J. (2016) · Molecular Neurobiology · doi:10.1007/s12035-016-0004-2 · Cited by 307 · see citing works
Sun, J., Xu, J., Yang, B., Chen, K., Kong, Y., Fang, N., Gong, T., Wang, F., Ling, Z., & Liu, J. (2020) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201900636 · Cited by 302 · see citing works
Diabetes mellitus and Alzheimer's disease: GSK-3β as a potential link
Zhang, Y., Huang, N.-Q., Yan, F., Jin, H., Zhou, S.-Y., Shi, J.-S., & Jin, F. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2017.11.015 · Cited by 301 · see citing works
Self-citationQuercetin Inhibits Advanced Glycation End Product Formation by Trapping Methylglyoxal and Glyoxal
Li, X., Zheng, T., Sang, S., & Lv, L. (2014) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf504132x · Cited by 291 · see citing works
Balez, R., Steiner, N., Engel, M., Muñoz, S. S., Lum, J. S., Wu, Y., Wang, D., Vallotton, P., Sachdev, P. S., O’Connor, M. D., et al. (2016) · Scientific Reports · doi:10.1038/srep31450 · Cited by 278 · see citing works
Pei, R., Liu, X., & Bolling, B. W. (2020) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2019.12.018 · Cited by 276 · see citing works
Implications of GABAergic Neurotransmission in Alzheimer’s Disease
Li, Y., Sun, H., Chen, Z., Xu, H., Bu, G., & Zheng, H. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00031 · Cited by 274 · see citing works
Self-citationWang, P., Gong, Q., Hu, J., Li, X., & Zhang, X. (2020) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.0c01704 · Cited by 272 · see citing works
Berry polyphenols metabolism and impact on human gut microbiota and health
Lavefve, L., Howard, L. R., & Carbonero, F. G. (2019) · Food & Function · doi:10.1039/c9fo01634a · Cited by 269 · see citing works
Diabetes Mellitus and the Risk of Alzheimer’s Disease: A Nationwide Population-Based Study
Huang, C., Chung, C., Leu, H., Lin, L., Chiu, C.-C., Hsu, C., Chiang, C.-H., Huang, P., Chen, T., Lin, S., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087095 · Cited by 266 · see citing works
Potì, F., Santi, D., Spaggiari, G., Zimetti, F., & Zanotti, I. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20020351 · Cited by 256 · see citing works
Advanced glycation End-products (AGEs): an emerging concern for processed food industries
Sharma, C., Kaur, A., Thind, S. S., Singh, B., & Raina, S. (2015) · Journal of Food Science and Technology · doi:10.1007/s13197-015-1851-y · Cited by 254 · see citing works
Progression of Parkinson's disease is associated with gut dysbiosis: Two-year follow-up study
Minato, T., Maeda, T., Fujisawa, Y., Tsuji, H., Nomoto, K., Ohno, K., & Hirayama, M. (2017) · PLOS ONE · doi:10.1371/journal.pone.0187307 · Cited by 248 · see citing works
Galangin inhibits α-glucosidase activity and formation of non-enzymatic glycation products
Zeng, L., Ding, H., Hu, X., et al. (2018) · Food Chemistry · doi:10.1016/j.foodchem.2018.07.148 · Cited by 245 · see citing works
Association between diabetes and subsequent Parkinson disease: A record-linkage cohort study
De Pablo-Fernandez, E., Goldacre, R., Pakpoor, J., Noyce, A. J., & Warner, T. T. (2018) · Neurology · doi:10.1212/wnl.0000000000005771 · Cited by 242 · see citing works
Pérez-Reytor, D., Puebla, C., Karahanian, E., & GARCÍA, K. P. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.650313 · Cited by 237 · see citing works
Köhler, C. A., Maes, M. H. J., Slyepchenko, A., Berk, M., Solmi, M., Lanctôt, K. L., & Carvalho, A. D. S. (2016) · Current Pharmaceutical Design · doi:10.2174/1381612822666160907093807 · Cited by 234 · see citing works
Bi, D., Wen, L., Wu, Z., & Shen, Y. (2020) · Alzheimer's & Dementia · doi:10.1002/alz.12088 · Cited by 232 · see citing works
Self-citationZhang, Q., Wang, Y., & Fu, L. (2020) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.12593 · Cited by 232 · see citing works
Reactions of plant polyphenols in foods: Impact of molecular structure
Lund, M. N. (2021) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2021.03.056 · Cited by 230 · see citing works
Wang, D., Ho, L., Faith, J. J., Ono, K., Janle, E. M., Lachcik, P. J., Cooper, B. R., Jannasch, A., D’Arcy, B., Williams, B. A., et al. (2015) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201400544 · Cited by 227 · see citing works
Khan, M., Liu, H., Wang, J., & Sun, B. (2019) · Food Research International · doi:10.1016/j.foodres.2019.108933 · Cited by 227 · see citing works
The Association Between the Gut Microbiota and Parkinson’s Disease, a Meta-Analysis
Shen, T., Yue, Y., He, T., Huang, C., Qu, B., Lv, W., & Lai, H.-Y. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.636545 · Cited by 219 · cited 1× · see citing works
“In parallel, the meta-analysis also acquired a consistent conclusion that the levels of Ruminococcaceae , Christensenellaceae , Bifidobacteriaceae and Verrucomicrobiaceae were increased, while the levels of Faecalibacterium , Lachnospiraceae and Prevotellaceae were reduced (Shen et al. 2021).”
ResultAnthocyanins Exist in the Circulation Primarily as Metabolites in Adult Men
Kay, C. D., Mazza, G. A., & Holub, B. J. (2005) · Journal of Nutrition · doi:10.1093/jn/135.11.2582 · Cited by 218 · see citing works
Anthocyanins Are Efficiently Absorbed from the Small Intestine in Rats
Talavéra, S., Felgines, C., Texier, O., Besson, C., Manach, C., Lamaison, J., & Rémésy, C. (2004) · Journal of Nutrition · doi:10.1093/jn/134.9.2275 · Cited by 218 · see citing works
Fecal microbiota transplantation in disease therapy
Antushevich, H. (2020) · Clinica Chimica Acta · doi:10.1016/j.cca.2019.12.010 · Cited by 215 · see citing works
Egaña-Gorroño, L., López‐Díez, R., Yepuri, G., Ramirez, L. S., Reverdatto, S., Gugger, P. F., Shekhtman, A. G., Ramasamy, R., & Schmidt, A. M. (2020) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2020.00037 · Cited by 210 · see citing works
Fang, X., Wang, X., Yang, S., Meng, F., Wang, X., Wei, H., & Chen, T. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.01479 · Cited by 206 · see citing works
Redox Signaling and Advanced Glycation Endproducts (AGEs) in Diet-Related Diseases
Cepas, V., Collino, M., Mayo, J. C., & Sainz, R. M. (2020) · Antioxidants · doi:10.3390/antiox9020142 · Cited by 206 · see citing works
Old Maids: Aging and Its Impact on Microglia Function
Koellhoffer, E. C., McCullough, L. D., & Ritzel, R. M. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18040769 · Cited by 205 · see citing works
Sathe, K., Maetzler, W., Lang, J. D., Mounsey, R. B., Fleckenstein, C., Martin, H. L., Schulte, C., Mustafa, S., Synofzik, M., Vukovic, Z., et al. (2012) · Brain · doi:10.1093/brain/aws250 · Cited by 202 · see citing works
Stool Immune Profiles Evince Gastrointestinal Inflammation in Parkinson's Disease
Houser, M. C., Chang, J., Factor, S. A., Molho, E., Zabetian, C. P., Hill‐Burns, E. M., Payami, H., Hertzberg, V., & Tansey, M. G. (2018) · Movement Disorders · doi:10.1002/mds.27326 · Cited by 200 · see citing works
d-glutamate and Gut Microbiota in Alzheimer’s Disease
Chang, C.-H., Lin, C.-H., & Lane, H.-Y. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21082676 · Cited by 191 · see citing works
Clinical trial of an inhibitor of RAGE-Aβ interactions in Alzheimer disease
Galasko, D. R., Bell, J. S., Mancuso, J. Y., Kupiec, J. W., Sabbagh, M. N., van Dyck, C. H., Thomas, R. G., Aisen, P. S. S., & Study, F. T. A. D. C. (2014) · Neurology · doi:10.1212/wnl.0000000000000364 · Cited by 187 · see citing works
Justino, A. B., Miranda, N. C., Franco, R. R., Martins, M. M., da Silva, N. M., & Espíndola, F. S. (2018) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2018.01.172 · Cited by 179 · see citing works
Delgado‐Andrade, C., & Fogliano, V. (2018) · Annual Review of Food Science and Technology · doi:10.1146/annurev-food-030117-012441 · Cited by 175 · see citing works
Microbial-generated amyloids and Alzheimer's disease (AD)
Hill, J. M., & Lukiw, W. J. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00009 · Cited by 173 · see citing works
Mohsen, M. A. E., Marks, J., Kuhnle, G., Moore, K. P., Debnam, E. S., Srai, S. K., Rice-Evans, C. A., & Spencer, J. P. E. (2006) · British Journal Of Nutrition · doi:10.1079/bjn20051596 · Cited by 170 · see citing works
The GABAergic system as a therapeutic target for Alzheimer's disease
Guzmán, B. C., Vinnakota, C., Govindpani, K., Waldvogel, H. J., Faull, R. L. M., & Kwakowsky, A. (2018) · Journal of Neurochemistry · doi:10.1111/jnc.14345 · Cited by 170 · see citing works
Yaghoubfar, R., Behrouzi, A., Ashrafian, F., Shahryari, A., Moradi, H. R., Choopani, S., Hadifar, S., Vaziri, F., Nojoumi, S. A., Fateh, A., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-79171-8 · Cited by 170 · see citing works
Salahuddin, P., Rabbani, G., & Khan, R. H. (2014) · Cellular & Molecular Biology Letters · doi:10.2478/s11658-014-0205-5 · Cited by 167 · see citing works
Li, C., Wang, N., Zheng, G., & Yang, L. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c14818 · Cited by 167 · see citing works
Essential Structural Requirements and Additive Effects for Flavonoids to Scavenge Methylglyoxal
Shao, X., Chen, H., Zhu, Y., et al. (2014) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf500204s · Cited by 163 · see citing works
Ushiroda, C., Naito, Y., Takagi, T., Uchiyama, K., Mizushima, K., Higashimura, Y., Yasukawa, Z., Ōkubo, T., Inoüe, R., Honda, A., et al. (2019) · Journal of Clinical Biochemistry and Nutrition · doi:10.3164/jcbn.18-116 · Cited by 161 · see citing works
Lin, R., Piao, M., & Song, Y. (2019) · Frontiers in Microbiology · doi:10.3389/fmicb.2019.01092 · Cited by 161 · see citing works
The Intestinal Fate of Citrus Flavanones and Their Effects on Gastrointestinal Health
Stevens, Y., Rymenant, E. V., Grootaert, C., Camp, J. V., Possemiers, S., Masclee, A., & Jonkers, D. M. A. E. (2019) · Nutrients · doi:10.3390/nu11071464 · Cited by 161 · see citing works
Anwar, S., Khan, A. A., Almatroudi, A., Khan, A. A., Alsahli, M. A., Almatroodi, S. A., & Rahmani, A. H. (2021) · Molecular Biology Reports · doi:10.1007/s11033-020-06084-0 · Cited by 158 · see citing works
Corpas, R., Griñán‐Ferré, C., Rodrı́guez-Farré, E., Pallàs, M., & Sanfeliu, C. (2018) · Molecular Neurobiology · doi:10.1007/s12035-018-1157-y · Cited by 157 · see citing works
Effects of Type 2 Diabetes on 12-Year Cognitive Change
Spauwen, P. J. J., Köhler, S., Verhey, F. R. J., Stehouwer, C. D. A., & van Boxtel, M. P. J. (2012) · Diabetes Care · doi:10.2337/dc12-0746 · Cited by 154 · see citing works
Drouin-Ouellet, J., St-Amour, I., Saint-Pierre, M., Lamontagne-Proulx, J., Kriz, J., Barker, R. A., & Cicchetti, F. (2015) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyu103 · Cited by 153 · see citing works
Pollari, E., Goldsteins, G., Bart, G., Koıstınaho, J., & Giniatullin, R. A. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00131 · Cited by 151 · see citing works
Chen, M., Hou, P., Zhou, M., Ren, Q., Wang, X., Huang, L., Hui, S., Yi, L., & Mi, M. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2019.05.020 · Cited by 148 · see citing works
Roles and Mechanisms of Gut Microbiota in Patients With Alzheimer’s Disease
Wu, S., Liu, X., Jiang, R., Yan, X., & Ling, Z. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.650047 · Cited by 146 · see citing works
Ray, R., Juranek, J. K., & Rai, V. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.12.006 · Cited by 145 · see citing works
Relevance of gutmicrobiota in cognition, behaviour and Alzheimer’s disease
de J.R. De-Paula, V., Forlenza, A. S., & Forlenza, O. V. (2018) · Pharmacological Research · doi:10.1016/j.phrs.2018.07.007 · Cited by 145 · see citing works
The Gut and Parkinson's Disease—A Bidirectional Pathway
Santos, S. F., de Oliveira, H. L., Yamada, E. S., Neves, B. C., & Pereira, A. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00574 · Cited by 144 · see citing works
Toll-like receptors and their therapeutic potential in Parkinson’s disease and α-synucleinopathies
Kouli, A., Horne, C. B., & Williams-Gray, C. H. (2019) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2019.06.042 · Cited by 143 · cited 1× · see citing works
“…was highly expressed in the PD patient’s colon, which was closely related to change in gut microbiota composition, intestinal inflammation, intestinal barrier destruction and activation of microglia as well as diseases development (Kouli, Horne, and Williams-Gray 2019; Perez-Pardo et al. 2019).”
BackgroundNakajima, A., Aoyama, Y., Shin, E.-J., Nam, Y., Kim, H.-C., Nagai, T., Yokosuka, A., Mimaki, Y., Yokoi, T., Ohizumi, Y., et al. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.04.028 · Cited by 138 · see citing works
Sun, Z., Li, X., Wang, S., Shen, L., & Ji, H. (2020) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-020-10461-x · Cited by 137 · see citing works
Neuroprotective Effects and Mechanisms of Tea Bioactive Components in Neurodegenerative Diseases
Chen, S.-Q., Ze-shi, W., Ma, Y.-X., Zhang, W., Lu, J., Liang, Y., & Zheng, X. (2018) · Molecules · doi:10.3390/molecules23030512 · Cited by 135 · see citing works
Fujii, Y., Nguyen, T. T. T., Fujimura, Y., Kameya, N., Nakamura, S., Arakawa, K., & Morita, H. (2019) · Bioscience Biotechnology and Biochemistry · doi:10.1080/09168451.2019.1644149 · Cited by 133 · see citing works
Hesperidin Effects on Gut Microbiota and Gut-Associated Lymphoid Tissue in Healthy Rats
Estruel‐Amades, S., Massot‐Cladera, M., Pérez-Cano, F. J., Franch, À., Castell, M., & Camps‐Bossacoma, M. (2019) · Nutrients · doi:10.3390/nu11020324 · Cited by 132 · see citing works
Flavonoid transport across RBE4 cells: A blood-brain barrier model
Faria, A., Pestana, D., Teixeira, D., Azevedo, J., de Freitas, V. A. P., Mateus, N. F. D. C. B., & Calhau, C. (2010) · Cellular & Molecular Biology Letters · doi:10.2478/s11658-010-0006-4 · Cited by 130 · see citing works
Dietary polyphenols: A novel strategy to modulate microbiota-gut-brain axis
Serra, D., Almeida, L. M., & Dinis, T. C. P. (2018) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2018.06.007 · Cited by 130 · see citing works
Metabolism and prebiotics activity of anthocyanins from black rice (Oryza sativa L.) in vitro
Zhu, Y., Sun, H., He, S., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0195754 · Cited by 127 · see citing works
RAGE-Aptamer Blocks the Development and Progression of Experimental Diabetic Nephropathy
Matsui, T., Higashimoto, Y., Nishino, Y., Nakamura, N., Fukami, K., & Yamagishi, S. (2017) · Diabetes · doi:10.2337/db16-1281 · Cited by 126 · see citing works
Chen, S.-Y., Gao, Y., Sun, J., Meng, X., Yang, D., Fan, L., Li, X., & Wang, P. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00497 · Cited by 126 · see citing works
Emerging links between type 2 diabetes and Alzheimer's disease
Sridhar, G. R. (2015) · World Journal of Diabetes · doi:10.4239/wjd.v6.i5.744 · Cited by 123 · cited 1× · see citing works
“As mentioned above, a hyperglycemic environment increased the risk of neurodegenerative diseases (Sridhar, Lakshmi, and Nagamani 2015).”
BackgroundThe human gut microbiota in people with amyotrophic lateral sclerosis
Nicholson, K., Bjornevik, K., Abu-Ali, G., Chan, J., Cortese, M., Dedi, B., Jeon, M., Xavier, R., Huttenhower, C., Ascherio, A., et al. (2021) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.1080/21678421.2020.1828475 · Cited by 123 · see citing works
Treatment Options in Alzheimer´s Disease: The GABA Story
Solas, M., Puerta, E., & Ramírez, M. J. (2015) · Current Pharmaceutical Design · doi:10.2174/1381612821666150914121149 · Cited by 122 · see citing works
Batkulwar, K., Godbole, R. K., Banarjee, R., Kassaar, O., Williams, R. J., & Kulkarni, M. J. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.7b00410 · Cited by 121 · see citing works
Association between diabetes and amyotrophic lateral sclerosis in <scp>S</scp>weden
Mariosa, D., Kamel, F., Bellocco, R., Ye, W., & Fang, F. (2015) · European Journal of Neurology · doi:10.1111/ene.12632 · Cited by 120 · see citing works
Zhou, Q., Cheng, K., Gong, J., Li, E. T. S., & Wang, M. (2019) · Biochemical Pharmacology · doi:10.1016/j.bcp.2019.05.027 · Cited by 120 · see citing works
Cognitive dysfunction: a growing link between diabetes and Alzheimer’s disease
Jash, K., Gondaliya, P., Kirave, P., Kulkarni, B., Sunkaria, A., & Kalia, K. (2020) · Drug Development Research · doi:10.1002/ddr.21579 · Cited by 119 · see citing works
Modulation of microbiota as treatment for intestinal inflammatory disorders: An uptodate
Gallo, A., Passaro, G., Gasbarrini, A., Landolfi, R., & Montalto, M. (2016) · World Journal of Gastroenterology · doi:10.3748/wjg.v22.i32.7186 · Cited by 118 · see citing works
Zhou, Q., Cheng, K., Xiao, J., & Wang, M. (2020) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2020.06.002 · Cited by 118 · see citing works
Gut Microbiota as a Prospective Therapeutic Target for Curcumin: A Review of Mutual Influence
Zam, W. (2018) · Journal of Nutrition and Metabolism · doi:10.1155/2018/1367984 · Cited by 117 · see citing works
Sanguinetti, E., Collado, M. C., Marrachelli, V. G., Monleón, D., Selma‐Royo, M., Pardo-Tendero, M., Burchielli, S., & Iozzo, P. (2018) · Scientific Reports · doi:10.1038/s41598-018-23261-1 · Cited by 115 · see citing works
Protective effects of anthocyanins on neurodegenerative diseases
Li, P., Feng, D., Yang, D., et al. (2021) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2021.05.005 · Cited by 115 · see citing works
Finding the needle in the haystack: systematic identification of psychobiotics
Bambury, A., Sandhu, K., Cryan, J. F., & Dinan, T. G. (2017) · British Journal of Pharmacology · doi:10.1111/bph.14127 · Cited by 107 · see citing works
Preventive Effect of Quercetin in a Triple Transgenic Alzheimer’s Disease Mice Model
Perez-Corredor, P. A., Sabogal-Guáqueta, A. M., Luis, C.-H., & Cardona‐Gómez, G. P. (2019) · Molecules · doi:10.3390/molecules24122287 · Cited by 107 · see citing works
Gut Microbiota Interaction with the Central Nervous System throughout Life
Ojeda, J., Ávila, A., & Vidal, P. M. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10061299 · Cited by 107 · see citing works
Ni, Y., Hu, L., Yang, S., Ni, L., Ma, L., Zhao, Y., Zheng, A., Jin, Y., & Fu, Z. (2021) · Chemosphere · doi:10.1016/j.chemosphere.2021.130952 · Cited by 105 · see citing works
Potential Role of Gut Microbiota in ALS Pathogenesis and Possible Novel Therapeutic Strategies
Mazzini, L., Mogna, L., Marchi, F. D., Amoruso, A., Pane, M., Aloisio, I., Cionci, N. B., Gaggìa, F., Lucenti, A., Bersano, E., et al. (2018) · Journal of Clinical Gastroenterology · doi:10.1097/mcg.0000000000001042 · Cited by 100 · see citing works
Frond, A. D., Iuhas, C. I., Ştirbu, I., LEOPOLD, L. F., Socaci, S., Stănilă, A., Ayvaz, H., Socaciu, A. I., SOCACIU, M. A., Diaconeasa, Z. M., et al. (2019) · Molecules · doi:10.3390/molecules24081536 · Cited by 100 · see citing works
Pinto, N. B., Alexandre, B. D. S., Neves, K. R. T., Silva, A. H., Leal, L. K. A. M., & Viana, G. S. D. B. (2015) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2015/161092 · Cited by 99 · see citing works
Wang, T., Wang, S., Wang, X., Jiang, H. Q., Yang, Y. Q., Wang, Y., Cheng, J., Zhang, C., Liang, W., & Feng, H. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.03.008 · Cited by 99 · see citing works
Yu, Q., Shang, L., Liao, Z., Su, H., Jing, H., Wu, B., Bi, K., & Jia, Y. (2018) · Metabolic Brain Disease · doi:10.1007/s11011-018-0348-6 · Cited by 97 · see citing works
Disruption of blood-brain barrier in Alzheimer disease pathogenesis
Kook, S. Y., Hong, H., Moon, M., & Mook‐Jung, I. (2013) · Tissue Barriers · doi:10.4161/tisb.23993 · Cited by 96 · see citing works
Advanced glycation end products in food and their effects on intestinal tract
Nie, C., Li, Y., Qian, H., Ying, H., & Wang, L. (2020) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2020.1863904 · Cited by 96 · see citing works
Self-citationHsiao, Y., Chen, H., Tsai, J., Lin, M., Liao, J., Wei, M.-S., Ko, J., & Ou, C. (2021) · Nutrients · doi:10.3390/nu13082792 · Cited by 96 · see citing works
Effects of anthocyanins from the fruit of Lycium ruthenicum Murray on intestinal microbiota
Yan, Y., Peng, Y., Tang, J., Mi, J., Lu, L., Li, X., Ran, L., Zeng, X., & Cao, Y. (2018) · Journal of Functional Foods · doi:10.1016/j.jff.2018.07.053 · Cited by 95 · see citing works
Self-citationMildner–Szkudlarz, S., Siger, A., Szwengiel, A., & Bajerska, J. (2014) · Food Chemistry · doi:10.1016/j.foodchem.2014.09.036 · Cited by 94 · see citing works
The fate of dietary advanced glycation end products in the body: from oral intake to excretion
Liang, Z., Chen, X., Li, L., Li, B., & Yang, Z. (2019) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2019.1693958 · Cited by 94 · see citing works
Yan, H., Shen, C., Yin, Q., Sun, M., Ma, Y., & Liu, X. (2016) · Neurochemical Research · doi:10.1007/s11064-015-1814-8 · Cited by 93 · see citing works
The Gut-Brain Axis in Alzheimer’s Disease and Omega-3. A Critical Overview of Clinical Trials
Rosa, F. L., Clerici, M., Ratto, D., Occhinegro, A., Licito, A., Romeo, M., Iorio, C. D., & Rossi, P. (2018) · Nutrients · doi:10.3390/nu10091267 · Cited by 93 · see citing works
Serotonergic Therapies for Cognitive Symptoms in Alzheimer’s Disease: Rationale and Current Status
Ramírez, M. J., Lai, M. K. P., Tordera, R. M., & Francis, P. T. (2014) · Drugs · doi:10.1007/s40265-014-0217-5 · Cited by 92 · see citing works
Role of protein carbonylation in diabetes
Hecker, M., & Wagner, A. H. (2017) · Journal of Inherited Metabolic Disease · doi:10.1007/s10545-017-0104-9 · Cited by 92 · see citing works
Qiao, C.-M., Sun, M., Jia, X.-B., Yang, L., Zhang, B.-P., Zhao, L., Shi, Y. W., Zhou, Z.-L., Zhu, Y., Cui, C., et al. (2020) · Neurochemical Research · doi:10.1007/s11064-020-03074-3 · Cited by 92 · see citing works
Self-citationFornasaro, S., Žiberna, L., Gasperotti, M., et al. (2016) · Scientific Reports · doi:10.1038/srep22815 · Cited by 91 · see citing works
Understanding the Pathophysiology of Cerebral Amyloid Angiopathy
Gatti, L., Tinelli, F., Scelzo, E., Arioli, F., Fede, G. D., Obici, L. P., Pantoni, L., Giaccone, G., Caroppo, P., Parati, E. A., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21103435 · Cited by 91 · see citing works
O’Donovan, S. M., Crowley, E. K., Brown, J. R. ‐., O’Sullivan, O., O’Leary, O. F., Timmons, S., Nolan, Y. M., Clarke, D. J., Hyland, N. P., Joyce, S. A., et al. (2020) · Neurogastroenterology & Motility · doi:10.1111/nmo.13726 · Cited by 86 · see citing works
Fang, X. (2015) · International Journal of Neuroscience · doi:10.3109/00207454.2015.1096271 · Cited by 84 · see citing works
Lubitz, I., Říčný, J., Atrakchi, D., Shemesh, C., Kravitz, E., Zaltsman, S. L., Maksin-Matveev, A., Cooper, I., Leibowitz, A., Uribarri, J., et al. (2016) · Aging Cell · doi:10.1111/acel.12436 · Cited by 84 · see citing works
Mildner–Szkudlarz, S., Siger, A., Szwengiel, A., Przygoński, K., Wójtowicz, E., & Zawirska‐Wojtasiak, R. (2017) · Food Chemistry · doi:10.1016/j.foodchem.2017.03.126 · Cited by 84 · see citing works
Xu, Y., Xie, M., Xue, J., Xiang, L., Li, Y., Xiao, J., Xiao, G., & Wang, H. (2020) · The FASEB Journal · doi:10.1096/fj.201903125rr · Cited by 84 · see citing works
Self-citationThe Metabolism of Anthocyanins
Hribar, U., & Ulrih, N. P. (2014) · Current Drug Metabolism · doi:10.2174/1389200214666131211160308 · Cited by 83 · see citing works
Spauwen, P. J. J., van Eupen, M. G. A., Köhler, S., Stehouwer, C. D. A., Verhey, F. R. J., Kallen, C., Sep, S. J. S., Koster, A., Schaper, N. C., Dagnelie, P. C., et al. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2014-2754 · Cited by 80 · see citing works
Chen, Y., Tang, S., Chen, Y., Zhang, R., Zhou, M., Wang, C., Feng, N., & Wu, Q. (2018) · Food Chemistry · doi:10.1016/j.foodchem.2018.08.090 · Cited by 80 · see citing works
de Waal, G. M., Engelbrecht, L., Davis, T., de Villiers, W. J. S., Kell, D. B., & Pretorius, E. (2018) · Scientific Reports · doi:10.1038/s41598-018-35009-y · Cited by 79 · see citing works
Receptor for advanced glycation endproducts (RAGE) deficiency protects against MPTP toxicity
Teismann, P., Sathe, K., Bierhaus, A., Leng, L., Martin, H. L., Bucala, R., Weigle, B., Nawroth, P. P., & Schulz, J. B. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.12.006 · Cited by 75 · see citing works
Glycation of Plant Proteins: Regulatory Roles and Interplay with Sugar Signalling?
Shumilina, J., Kusnetsova, A., Tsarev, A. A., van Rensburg, H. C. J., Medvedev, S. S., Demidchik, V. V., den Ende, W. V., & Frolov, A. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20092366 · Cited by 75 · see citing works
Diabetes Mellitus as a Risk Factor for Parkinson’s Disease: a Molecular Point of View
Biosa, A., Outeiro, T. F., Bubacco, L., & Bisaglia, M. (2018) · Molecular Neurobiology · doi:10.1007/s12035-018-1025-9 · Cited by 74 · see citing works
Kong, Y., Wang, F., Wang, J., Liu, C., Zhou, Y., Xu, Z., Zhang, C., Sun, B., & Guan, Y. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00217 · Cited by 74 · see citing works
Ho, L., Zhao, D., Ono, K., Ruan, K., Mogno, I., Tsuji, M., Carry, E., Brathwaite, J. S., Sims, S. L., Frolinger, T., et al. (2018) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2018.10.019 · Cited by 73 · see citing works
Shamsi, A., Shahwan, M. J., Khan, M. S., Husain, F. M., Alhumaydhi, F. A., Aljohani, A. S. M., Rehman, M. T., Hassan, M. I., & Islam, A. (2021) · ACS Omega · doi:10.1021/acsomega.1c00527 · Cited by 73 · see citing works
Liu, J., He, Y., Wang, S., He, Y., Wang, W., Li, Q., & Cao, X. (2018) · Journal of Functional Foods · doi:10.1016/j.jff.2018.06.024 · Cited by 72 · see citing works
Lin, L., Cheng, L., Zhang, D., Yuan, M., Chen, C., & Li, M. (2020) · Neurochemical Research · doi:10.1007/s11064-020-02992-6 · Cited by 72 · see citing works
Fidélix, M. P., Milenković, D., Sivieri, K., & Cesar, T. B. (2020) · Food & Function · doi:10.1039/c9fo02623a · Cited by 70 · see citing works
Nebrisi, E. E., Javed, H., Ojha, S. K., Öz, M., & Shehab, S. A. S. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21197329 · Cited by 68 · see citing works
Chen, H., Virk, M. S., & Chen, F. (2016) · International Journal of Food Sciences and Nutrition · doi:10.3109/09637486.2016.1166187 · Cited by 65 · see citing works
Fuloria, S., Subramaniyan, V., Sundram, K., Kumari, U., Sathasivam, K. V., Meenakshi, D. U., Wu, Y. S., Guad, R. M., Udupa, K., & Fuloria, N. K. (2020) · Antioxidants · doi:10.3390/antiox9111075 · Cited by 64 · see citing works
Therapeutic Potential of Natural Antioxidants
Ramana, K. V., Reddy, A. B. M., Majeti, N. V. R. K., et al. (2018) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2018/9471051 · Cited by 63 · see citing works
Zhang, L., Yu, L., Ye, Y., Yang, S.-H., Tu, Z., Chen, J., Wang, H., Wang, H., & Yuan, T. (2018) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.8b06075 · Cited by 63 · see citing works
Sun, Y., Gu, J. F., Tan, X. B., et al. (2015) · Molecular Medicine Reports · doi:10.3892/mmr.2015.4725 · Cited by 62 · see citing works
Qin, C. X., Li, Y., Zhang, Y., et al. (2021) · Food Bioscience · doi:10.1016/j.fbio.2021.101313 · Cited by 62 · see citing works
Self-citationProgress of RAGE Molecular Imaging in Alzheimer’s Disease
Kong, Y., Liu, C., Zhou, Y., Qi, J., Zhang, C., Sun, B., Wang, J., & Guan, Y. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00227 · Cited by 61 · see citing works
Zhang, Z.-X., Li, Y., & Zhao, R. (2016) · Neurochemical Research · doi:10.1007/s11064-016-2093-8 · Cited by 60 · see citing works
Self-citationIdentifying Plant-Based Natural Medicine against Oxidative Stress and Neurodegenerative Disorders
Chandran, R., & Abrahamse, H. (2020) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2020/8648742 · Cited by 59 · see citing works
Sun, Y., Lu, C.-J., Chen, R.-C., Hou, W., & Li, C. (2015) · Journal of Epidemiology · doi:10.2188/jea.je20140176 · Cited by 58 · see citing works
Prevention of Cognitive Decline in Alzheimer’s Disease by Novel Antioxidative Supplements
Tadokoro, K., Ohta, Y., Inufusa, H., Loon, A. F. N., & Abe, K. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21061974 · Cited by 58 · see citing works
Epidemiological Evidence of the Relationship Between Diabetes and Dementia
Ninomiya, T. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-13-3540-2_2 · Cited by 57 · see citing works
RAGE and AGEs in Mild Cognitive Impairment of Diabetic Patients: A Cross-Sectional Study
Wang, P., Huang, R., Lu, S., Xia, W., Cai, R., Sun, H., & Wang, S. (2016) · PLoS ONE · doi:10.1371/journal.pone.0145521 · Cited by 55 · see citing works
Gasparotto, J., Ribeiro, C. T., Bortolin, R. C., Somensi, N., Rabelo, T. K., Kunzler, A., Souza, N. C., Pasquali, M. A. D. B., Moreira, J. C. F., & Gelain, D. P. (2017) · Scientific Reports · doi:10.1038/s41598-017-09257-3 · Cited by 55 · see citing works
RAGE and its emerging role in the pathogenesis of Parkinson’s disease
Jiang, X., Wang, X., Tuo, M., Ma, J., & Xie, A. (2018) · Neuroscience Letters · doi:10.1016/j.neulet.2018.02.049 · Cited by 54 · see citing works
Effect of pH on the reaction between naringenin and methylglyoxal: A kinetic study
Zhu, H., Poojary, M. M., Andersen, M. L., et al. (2019) · Food Chemistry · doi:10.1016/j.foodchem.2019.125086 · Cited by 54 · see citing works
Chronic 5-HT4 receptor activation decreases Aβ production and deposition in hAPP/PS1 mice.
Tesseur, I., Pimenova, A. A., Lo, A. C., Ciesielska, M., Lichtenthaler, S., Maeyer, J. D. D., Schuurkes, J., D'Hooge, R., & de Strooper, B. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.01.020 · Cited by 53 · see citing works
Bains, Y., & Gugliucci, A. (2016) · Fitoterapia · doi:10.1016/j.fitote.2016.12.006 · Cited by 53 · see citing works
Liu, H., Chen, X., Zhang, D., Wang, J., Wang, S., & Sun, B. (2018) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.7b04957 · Cited by 53 · see citing works
Yang, S., Wang, G., Feei, Z., Qin, L., Zhai, Y., Yu, Z., Xue, M., Zhang, Y., & Wan, Z. (2019) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201901019 · Cited by 52 · see citing works
Self-citationWang, X., Sun, X., Niu, M., Zhang, X., Wang, J., Zhou, C., & Xie, A. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00353 · Cited by 52 · see citing works
Targeting the receptor for advanced glycation end products (RAGE) in type 1 diabetes
Bagge, S. L., Fotheringham, A. K., Leung, S. S., & Forbes, J. M. (2020) · Medicinal Research Reviews · doi:10.1002/med.21654 · Cited by 51 · see citing works
Yang, S., Zhou, H., Wang, G., Zhong, X., Qi-liang, S., Zhang, X., Li, R., Chen, L., Zhang, Y., & Wan, Z. (2020) · Journal of Food Biochemistry · doi:10.1111/jfbc.13164 · Cited by 50 · see citing works
Self-citationGABAergic Microcircuits in Alzheimer's Disease Models
Villette, V., & Dutar, P. (2016) · Current Alzheimer Research · doi:10.2174/1567205013666160819125757 · Cited by 49 · see citing works
Wilmes, L., Collins, J. M., O’Riordan, K. J., O’Mahony, S. M., Cryan, J. F., & Clarke, G. A. (2021) · Neurogastroenterology & Motility · doi:10.1111/nmo.14095 · Cited by 48 · see citing works
Wang, L., Mo, Y. Y., Huang, Y., Echeveste, C. E., Wang, H., Chen, J., Oshima, K., Yearsley, M., Simal‐Gándara, J., Battino, M. A., et al. (2020) · eFood · doi:10.2991/efood.k.200824.002 · Cited by 47 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The Potential Impact of Probiotics on Human Health: An Update on Their Health-Promoting Properties
Maftei, N.-M., Raileanu, C. R., Balta, A. A., Ambrose, L., Boev, M., Marin, D. B., & Lisa, E. L. (2024) · Microorganisms · doi:10.3390/microorganisms12020234 · Cited by 381 · see citing works
The Effects of the Mediterranean Diet on Health and Gut Microbiota
Barber, T. M., Kabisch, S., Pfeiffer, A. F. H., & Weickert, M. O. (2023) · Nutrients · doi:10.3390/nu15092150 · Cited by 213 · see citing works
Chehadi, A. C., Pereira de Lima, E., Detregiachi, C. R. P., Santos de Argollo Haber, R., Catharin, V. M. C. S., Fornari Laurindo, L., Engracia Valenti, V., Machado Galhardi, C., Tanaka, M., & Maria Barbalho, S. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27010465 · Cited by 8 · see citing works
- Authors
- Li, Y., Peng, Y., Shen, Y., Zhang, Y., Liu, L., & Yang, X.
- Affiliations
- Ningbo University (CN)
- Guangzhou University (CN)
- Corresponding author
- Liu, Lianliang
- Yang, Xinquan
- Venue
- Critical Reviews in Food Science and Nutrition
- Publisher
- Informa UK Limited
- Published
- 2022-05-19
- Volume
- 63
- Issue
- 29
- Pages
- 9816-9842
- ISSN
- 1040-8398 (ISSN-L)
- 1549-7852
- OpenAlex
- W4280616897
- Cited by
- 156
- References
- 256
- Citations by year
- 2026: 24 · 2025: 42 · 2024: 29 · 2023: 58 · 2022: 3
- FWCI
- 22.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Critical Reviews in Food Science and Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (32172210)
- Zhejiang Provincial Natural Science Foundation (LY21C200005)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Advanced Glycation End Products research
- Health Sciences › Medicine › Biochemistry › Phytochemicals and Antioxidant Activities
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- dietary polyphenols, advanced glycation end products, RAGE, Maillard reaction, neurodegenerative diseases, gut microbiota, microbiota-gut-brain axis, oxidative stress, intestinal inflammation, AGE formation inhibition, dietary supplementation
- MeSH terms
- Brain-Gut Axis, Humans, Inflammation, Glycation End Products, Advanced, Dietary Supplements, Neurodegenerative Diseases, Polyphenols
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review