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Suresh S, Vellapandian C. Cyanidin Ameliorates Bisphenol A-Induced Alzheimer's Disease Pathology by Restoring Wnt/β-Catenin Signaling Cascade: an In Vitro Study. Mol Neurobiol 2024; 61:2064-2080. [PMID: 37843801 DOI: 10.1007/s12035-023-03672-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 09/22/2023] [Indexed: 10/17/2023]
Abstract
Alzheimer's disease (AD) is a progressive neurodegenerative disorder causing memory loss and cognitive decline, linked to amyloid-beta (Aβ) plaques and hyperphosphorylated tau protein accumulation in the brain. Environmental pollutant bisphenol A (BPA) has been implicated in AD pathology due to its neurotoxic effects. This study aims to evaluate cyanidin from flower bracts of Musa acuminata Colla (red variety; AAA group) for its neuroprotective properties against BPA-induced AD pathology. The extraction of cyanidin was optimized using 70% ethanol in acidified water, showing promising anti-acetylcholinesterase activity. Cyanidin was effectively purified from the resultant extract and characterized using spectroscopic techniques. Two gradient doses of cyanidin (90 and 10 µg/ml) were determined based on cell viability assay. The role of cyanidin in promoting nerve growth and differentiation was assessed in PC12 cells for up to 72 h. A discernible and statistically significant difference was assessed in neurite extension at both doses at 72 h, followed by pre-treatment with cyanidin. BPA stimulation significantly increased the p-tau expression compared to the control (p < 0.0001). Pre-treatment with cyanidin reduced the tau expression; however, a significant difference was observed compared to control cells (p = 0.0003). Cyanidin significantly enhanced the mRNA expression of Wnt3a (p < 0.0001), β-catenin (p = 0.0004), and NeuroD1 (p = 0.0289), and decreased the expression of WIF1(p = 0.0040) and DKK1 (p < 0.0001), which are Wnt antagonist when compared to cells stimulated with BPA. Conclusively, our finding suggests that cyanidin could agonize nerve growth factor and promote neuronal differentiation, reduce tau-hyperphosphorylation by restoring the Wnt/β-catenin signaling cascade, and thereby render its neuroprotective potential against BPA-induced AD pathology.
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Affiliation(s)
- Swathi Suresh
- Department of Pharmacology, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, 603203, Tamil Nadu, India
| | - Chitra Vellapandian
- Department of Pharmacology, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, 603203, Tamil Nadu, India.
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Mostafa H, Cheok A, Meroño T, Andres-Lacueva C, Rodriguez-Mateos A. Biomarkers of Berry Intake: Systematic Review Update. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:11789-11805. [PMID: 37499164 PMCID: PMC10416351 DOI: 10.1021/acs.jafc.3c01142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 07/08/2023] [Accepted: 07/10/2023] [Indexed: 07/29/2023]
Abstract
Berries are rich in (poly)phenols, and these compounds may be beneficial to human health. Estimating berry consumption through self-reported questionnaires has been challenging due to compliance issues and a lack of precision. Estimation via food-derived biomarkers in biofluids was proposed as a complementary alternative. We aimed to review and update the existing evidence on biomarkers of intake for six different types of berries. A systematic literature search was performed to update a previous systematic review on PubMed, Web of Science, and Scopus from January 2020 until December 2022. Out of 42 papers, only 18 studies were eligible. A multimetabolite panel is suggested for blueberry and cranberry intake. Proposed biomarkers for blueberries include hippuric acid and malvidin glycosides. For cranberries, suggested biomarkers are glycosides of peonidin and cyanidin together with sulfate and glucuronide conjugates of phenyl-γ-valerolactone derivatives. No new metabolite candidates have been found for raspberries, strawberries, blackcurrants, and blackberries. Further studies are encouraged to validate these multimetabolite panels for improving the estimation of berry consumption.
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Affiliation(s)
- Hamza Mostafa
- Biomarkers
and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences
and Gastronomy, Nutrition and Food Safety Research Institute (INSA),
Facultat de Farmàcia i Ciències de l’Alimentació, Universitat de Barcelona (UB), 08028 Barcelona, Spain
- Centro
de Investigación Biomédica en Red de Fragilidad y Envejecimiento
Saludable (CIBERFES), Instituto de Salud
Carlos III, Madrid 28029, Spain
| | - Alex Cheok
- Department
of Nutritional Sciences, School of Life Course and Population Sciences,
Faculty of Life Sciences and Medicine, King’s
College London, 150 Stamford
Street, SE1 9NH London, U.K.
| | - Tomás Meroño
- Biomarkers
and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences
and Gastronomy, Nutrition and Food Safety Research Institute (INSA),
Facultat de Farmàcia i Ciències de l’Alimentació, Universitat de Barcelona (UB), 08028 Barcelona, Spain
- Centro
de Investigación Biomédica en Red de Fragilidad y Envejecimiento
Saludable (CIBERFES), Instituto de Salud
Carlos III, Madrid 28029, Spain
| | - Cristina Andres-Lacueva
- Biomarkers
and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences
and Gastronomy, Nutrition and Food Safety Research Institute (INSA),
Facultat de Farmàcia i Ciències de l’Alimentació, Universitat de Barcelona (UB), 08028 Barcelona, Spain
- Centro
de Investigación Biomédica en Red de Fragilidad y Envejecimiento
Saludable (CIBERFES), Instituto de Salud
Carlos III, Madrid 28029, Spain
| | - Ana Rodriguez-Mateos
- Department
of Nutritional Sciences, School of Life Course and Population Sciences,
Faculty of Life Sciences and Medicine, King’s
College London, 150 Stamford
Street, SE1 9NH London, U.K.
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Dietary Sources of Anthocyanins and Their Association with Metabolome Biomarkers and Cardiometabolic Risk Factors in an Observational Study. Nutrients 2023; 15:nu15051208. [PMID: 36904207 PMCID: PMC10005166 DOI: 10.3390/nu15051208] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 02/24/2023] [Accepted: 02/25/2023] [Indexed: 03/08/2023] Open
Abstract
Anthocyanins (ACNs) are (poly)phenols associated with reduced cardiometabolic risk. Associations between dietary intake, microbial metabolism, and cardiometabolic health benefits of ACNs have not been fully characterized. Our aims were to study the association between ACN intake, considering its dietary sources, and plasma metabolites, and to relate them with cardiometabolic risk factors in an observational study. A total of 1351 samples from 624 participants (55% female, mean age: 45 ± 12 years old) enrolled in the DCH-NG MAX study were studied using a targeted metabolomic analysis. Twenty-four-hour dietary recalls were used to collect dietary data at baseline, six, and twelve months. ACN content of foods was calculated using Phenol Explorer and foods were categorized into food groups. The median intake of total ACNs was 1.6mg/day. Using mixed graphical models, ACNs from different foods showed specific associations with plasma metabolome biomarkers. Combining these results with censored regression analysis, metabolites associated with ACNs intake were: salsolinol sulfate, 4-methylcatechol sulfate, linoleoyl carnitine, 3,4-dihydroxyphenylacetic acid, and one valerolactone. Salsolinol sulfate and 4-methylcatechol sulfate, both related to the intake of ACNs mainly from berries, were inversely associated with visceral adipose tissue. In conclusion, plasma metabolome biomarkers of dietary ACNs depended on the dietary source and some of them, such as salsolinol sulfate and 4-methylcatechol sulfate may link berry intake with cardiometabolic health benefits.
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Gui H, Sun L, Liu R, Si X, Li D, Wang Y, Shu C, Sun X, Jiang Q, Qiao Y, Li B, Tian J. Current knowledge of anthocyanin metabolism in the digestive tract: absorption, distribution, degradation, and interconversion. Crit Rev Food Sci Nutr 2022; 63:5953-5966. [PMID: 35057688 DOI: 10.1080/10408398.2022.2026291] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Potential roles for anthocyanins in preventing various chronic diseases have been reported. These compounds are highly sensitive to external conditions and are susceptible to degradation, which increases the complexity of their metabolism in vivo. This review discusses anthocyanin metabolism in the digestive tract, phase I and II metabolism, and enterohepatic circulation (EHC), as well as their distribution of anthocyanins in blood, urine, and several organs. In the oral cavity, anthocyanins are partly hydrolyzed by microbiota into aglycones which are then conjugated by glucuronidase. In stomach, anthocyanins are absorbed without deglycosylation via specific transporters, such as sodium-dependent glucose co-transporter 1 and facilitative glucose transporters 1, while in small intestine, they are mainly absorbed as aglycones. High polymeric anthocyanins are easily degraded into low-polymeric forms or smaller phenolic acids by colonic microbiota, which improves their absorption. Anthocyanins and their derivatives are modified by phase I and II metabolic enzymes in cells and are released into the blood via the gastrovascular cavity into EHC. Notably, interconversion can be occurred under the action of enzymes such as catechol-O-methyltransferase. Taking together, differences in anthocyanin absorption, distribution, metabolism, and excretion largely depend on their glycoside and aglycone structures.
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Affiliation(s)
- Hailong Gui
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning, China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing, Shenyang, Liaoning, China
| | - Lijun Sun
- College of Food Science and Engineering, Northwest A & F University, Yangling, Shaanxi, China
| | - Ruihai Liu
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning, China
- Department of Food Science, Cornell University, Ithaca, NY, USA
| | - Xu Si
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning, China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing, Shenyang, Liaoning, China
| | - Dongnan Li
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning, China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing, Shenyang, Liaoning, China
| | - Yuehua Wang
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning, China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing, Shenyang, Liaoning, China
| | - Chi Shu
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning, China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing, Shenyang, Liaoning, China
| | - Xiyun Sun
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning, China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing, Shenyang, Liaoning, China
| | - Qiao Jiang
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning, China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing, Shenyang, Liaoning, China
| | - Yanyan Qiao
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning, China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing, Shenyang, Liaoning, China
| | - Bin Li
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning, China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing, Shenyang, Liaoning, China
| | - Jinlong Tian
- College of Food Science, Shenyang Agricultural University, Shenyang, Liaoning, China
- Key Laboratory of Healthy Food Nutrition and Innovative Manufacturing, Shenyang, Liaoning, China
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