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Yang T, Zhang P, Hu J, Xu W, Jiang W, Feng R, Lou Y, Jin X, Qian Z, Gao F, Gao K, Liu R, Yang Y. Exploring the neural correlates of fat taste perception and discrimination: Insights from electroencephalogram analysis. Food Chem 2024; 450:139353. [PMID: 38636376 DOI: 10.1016/j.foodchem.2024.139353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 03/30/2024] [Accepted: 04/11/2024] [Indexed: 04/20/2024]
Abstract
Understanding neural pathways and cognitive processes involved in the transformation of dietary fats into sensory experiences has profound implications for nutritional well-being. This study presents an efficient approach to comprehending the neural perception of fat taste using electroencephalogram (EEG). Through the examination of neural responses to different types of fatty acids (FAs) in 45 participants, we discerned distinct neural activation patterns associated with saturated versus unsaturated fatty acids. The spectrum analysis of averaged EEG signals revealed notable variations in δ and α-frequency bands across FA types. The topographical distribution and source localization results suggested that the brain encodes fat taste with specific activation timings in primary and secondary gustatory cortices. Saturated FAs elicited higher activation in cortical associated with emotion and reward processing. This electrophysiological evidence enhances our understanding of fundamental mechanisms behind fat perception, which is helpful for guiding strategies to manage hedonic eating and promote balanced fat consumption.
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Affiliation(s)
- Tianyi Yang
- Department of Biomedical Engineering, Key Laboratory of Multi-modal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Peng Zhang
- Department of Biomedical Engineering, Key Laboratory of Multi-modal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Jin Hu
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, National Key Laboratory of Medical Neurobiology, Institutes of Brain Science, Shanghai Key Lab. of Brain Function and Regeneration, Institute of Neurosurgery, Shanghai 200040, China
| | - Wei Xu
- Department of Biomedical Engineering, Key Laboratory of Multi-modal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Wei Jiang
- Department of Biomedical Engineering, Key Laboratory of Multi-modal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Rui Feng
- Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, National Center for Neurological Disorders, National Key Laboratory of Medical Neurobiology, Institutes of Brain Science, Shanghai Key Lab. of Brain Function and Regeneration, Institute of Neurosurgery, Shanghai 200040, China
| | - Yajun Lou
- Department of Biomedical Engineering, Key Laboratory of Multi-modal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Xiaofei Jin
- Department of Biomedical Engineering, Key Laboratory of Multi-modal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Zhiyu Qian
- Department of Biomedical Engineering, Key Laboratory of Multi-modal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Fan Gao
- Department of Biomedical Engineering, Key Laboratory of Multi-modal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Keqiang Gao
- School of Pharmacy, Nanjing Medical University, Nanjing, 211166, China.
| | - Rui Liu
- College of Food Science and Engineering, Yangzhou University, Yangzhou, 225127, China.
| | - Yamin Yang
- Department of Biomedical Engineering, Key Laboratory of Multi-modal Brain-Computer Precision Drive Ministry of Industry and Information Technology, Key Laboratory of Digital Medical Equipment and Technology of Jiangsu Province, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
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Abeywickrema S, Ginieis R, Oey I, Perry T, Keast RSJ, Peng M. Taste but not smell sensitivities are linked to dietary macronutrient composition. Appetite 2023; 181:106385. [PMID: 36442612 DOI: 10.1016/j.appet.2022.106385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 10/12/2022] [Accepted: 11/16/2022] [Indexed: 11/27/2022]
Abstract
Macronutrient intake and composition of diets (i.e., carbohydrate, protein, and fat) can vary substantially across individuals. Chemosensory functions are hypothesised to play a key role in modulating nutrient choices and intake. The present study tests links between individual gustatory or olfactory supra-threshold sensitivities and dietary macronutrient intake. A total of 98 European males (N = 81 for final analyses; age: 20-40 yo; BMI: 18.9-48.1 kg∙m-2) were tested for supra-threshold sensitivities (d') to 3-gustatory (i.e., Sucrose, MSG, Dairy fat) and 3-olfactory stimuli (i.e., Vanillin, Methional, Maltol/Furaneol), followed by a 4-day weighed Food Record to give measures of macronutrient intake (kJ) and composition (%). With multivariate analyses (i.e., K-mean clustering, PCA, and Hierarchical Regression), gustatory and olfactory d' were compared across groups of individuals with distinct macronutrient composition or intake. Significant differences in gustatory d' were found across the clusters based on macronutrient composition (p < 0.05), but not for clusters based on intake. Hierarchical regressions suggested that gustatory d' played a significant role in predicting dietary carbohydrate composition and intake, with one-unit d' increase predicting reduction of 3%-4.66% (R2 = 0.21, F(5,75) = 5.38, p = 0.001). Moreover, every one-unit increase in d' to MSG increased protein composition by 3.45% (R2 = 0.10, F(5,75) = 2.83, p = 0.022) and intake by 392 kJ (R2 = 0.08, F(5,75) = 2.41, p = 0.044). By contrast, olfactory d' showed little association to macronutrient composition or intake (p > 0.05). Overall, we present intriguing new evidence that gustatory, but not olfactory, sensitivities are linked to dietary macronutrient composition, with relatively little effect on actual intake. These findings highlight possible action of a sensory-mediated mechanism guiding food choices.
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Affiliation(s)
- Sashie Abeywickrema
- Sensory Neuroscience Laboratory, Department of Food Science, University of Otago, Dunedin, New Zealand
| | - Rachel Ginieis
- Sensory Neuroscience Laboratory, Department of Food Science, University of Otago, Dunedin, New Zealand
| | - Indrawati Oey
- Sensory Neuroscience Laboratory, Department of Food Science, University of Otago, Dunedin, New Zealand; Riddet Institute, Palmerston North, New Zealand
| | - Tracy Perry
- Division of Sciences, University of Otago, Dunedin, New Zealand
| | - Russell S J Keast
- School of Exercise and Nutrition Sciences, Deakin University, Melbourne, Australia
| | - Mei Peng
- Sensory Neuroscience Laboratory, Department of Food Science, University of Otago, Dunedin, New Zealand; Riddet Institute, Palmerston North, New Zealand.
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Jaime-Lara RB, Brooks BE, Vizioli C, Chiles M, Nawal N, Ortiz-Figueroa RSE, Livinski AA, Agarwal K, Colina-Prisco C, Iannarino N, Hilmi A, Tejeda HA, Joseph PV. A systematic review of the biological mediators of fat taste and smell. Physiol Rev 2023; 103:855-918. [PMID: 36409650 PMCID: PMC9678415 DOI: 10.1152/physrev.00061.2021] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Taste and smell play a key role in our ability to perceive foods. Overconsumption of highly palatable energy-dense foods can lead to increased caloric intake and obesity. Thus there is growing interest in the study of the biological mediators of fat taste and associated olfaction as potential targets for pharmacologic and nutritional interventions in the context of obesity and health. The number of studies examining mechanisms underlying fat taste and smell has grown rapidly in the last 5 years. Therefore, the purpose of this systematic review is to summarize emerging evidence examining the biological mechanisms of fat taste and smell. A literature search was conducted of studies published in English between 2014 and 2021 in adult humans and animal models. Database searches were conducted using PubMed, EMBASE, Scopus, and Web of Science for key terms including fat/lipid, taste, and olfaction. Initially, 4,062 articles were identified through database searches, and a total of 84 relevant articles met inclusion and exclusion criteria and are included in this review. Existing literature suggests that there are several proteins integral to fat chemosensation, including cluster of differentiation 36 (CD36) and G protein-coupled receptor 120 (GPR120). This systematic review will discuss these proteins and the signal transduction pathways involved in fat detection. We also review neural circuits, key brain regions, ingestive cues, postingestive signals, and genetic polymorphism that play a role in fat perception and consumption. Finally, we discuss the role of fat taste and smell in the context of eating behavior and obesity.
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Affiliation(s)
- Rosario B. Jaime-Lara
- 1Section of Sensory Science and Metabolism Unit, Division of Intramural Research, National Institutes of Health, National Institute of Alcohol Abuse and Alcoholism, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Brianna E. Brooks
- 1Section of Sensory Science and Metabolism Unit, Division of Intramural Research, National Institutes of Health, National Institute of Alcohol Abuse and Alcoholism, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Carlotta Vizioli
- 1Section of Sensory Science and Metabolism Unit, Division of Intramural Research, National Institutes of Health, National Institute of Alcohol Abuse and Alcoholism, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Mari Chiles
- 1Section of Sensory Science and Metabolism Unit, Division of Intramural Research, National Institutes of Health, National Institute of Alcohol Abuse and Alcoholism, U.S. Department of Health and Human Services, Bethesda, Maryland,4Section of Neuromodulation and Synaptic Integration, Division of Intramural Research, National Institute of Mental Health, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Nafisa Nawal
- 1Section of Sensory Science and Metabolism Unit, Division of Intramural Research, National Institutes of Health, National Institute of Alcohol Abuse and Alcoholism, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Rodrigo S. E. Ortiz-Figueroa
- 1Section of Sensory Science and Metabolism Unit, Division of Intramural Research, National Institutes of Health, National Institute of Alcohol Abuse and Alcoholism, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Alicia A. Livinski
- 3NIH Library, Office of Research Services, Office of the Director, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Khushbu Agarwal
- 1Section of Sensory Science and Metabolism Unit, Division of Intramural Research, National Institutes of Health, National Institute of Alcohol Abuse and Alcoholism, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Claudia Colina-Prisco
- 1Section of Sensory Science and Metabolism Unit, Division of Intramural Research, National Institutes of Health, National Institute of Alcohol Abuse and Alcoholism, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Natalia Iannarino
- 1Section of Sensory Science and Metabolism Unit, Division of Intramural Research, National Institutes of Health, National Institute of Alcohol Abuse and Alcoholism, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Aliya Hilmi
- 1Section of Sensory Science and Metabolism Unit, Division of Intramural Research, National Institutes of Health, National Institute of Alcohol Abuse and Alcoholism, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Hugo A. Tejeda
- 1Section of Sensory Science and Metabolism Unit, Division of Intramural Research, National Institutes of Health, National Institute of Alcohol Abuse and Alcoholism, U.S. Department of Health and Human Services, Bethesda, Maryland
| | - Paule V. Joseph
- 1Section of Sensory Science and Metabolism Unit, Division of Intramural Research, National Institutes of Health, National Institute of Alcohol Abuse and Alcoholism, U.S. Department of Health and Human Services, Bethesda, Maryland,2Section of Sensory Science and Metabolism, Division of Intramural Research, National Institute of Nursing Research, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland
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The Association between Fat Taste Sensitivity, Eating Habits, and Metabolic Health in Menopausal Women. Nutrients 2021; 13:nu13124506. [PMID: 34960056 PMCID: PMC8706892 DOI: 10.3390/nu13124506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 12/09/2021] [Accepted: 12/13/2021] [Indexed: 11/16/2022] Open
Abstract
The aim of our study was to evaluate the associations between sensitivity to fat taste, eating habits and BMI value in a sample of menopausal Polish women. In a population of 95 women, fat taste thresholds with oleic acid were determined, allowing us to classify each woman as a hypersensitive or hyposensitive taster. Eating habits were assessed using a validated KomPAN questionnaire for food frequency. Dietary intake was evaluated based on a food diary. Selected biochemical parameters were measured using a Konelab20i biochemical analyzer. Anthropometric parameters and blood pressure were also measured. Twenty-two menopausal women were classified as hyposensitive to fat taste and 73 as hypersensitive. The hyposensitive tasters were significantly older (p = 0.006), with the majority of them (92%) being postmenopausal (p < 0.001); this group had significantly higher BMI values (p < 0.001) and other adiposity indicators compared to their hypersensitive counterparts. The hyposensitive tasters had higher blood pressure (systolic blood pressure; SBP p = 0.030; diastolic blood pressure; DBP p = 0.003), glucose (p = 0.011) and triacylglycerols levels than the hypersensitive tasters (p = 0.031). Almost half of them had diagnosed metabolic syndrome. Daily eating occasions were associated with low oral fatty acid sensitivity, irrespective of age (p = 0.041) and BMI value (p = 0.028). There were also significant associations between frequency of consumption of meats and eggs, as well as snacks and fast foods and low oral fatty acid sensitivity before adjustment for potential confounders (both associations p < 0.05), which remained after adjustment for age (both associations p < 0.05), but not after adjustment for BMI. A multivariate logistic regression analysis showed that higher BMI value (p = 0.003), along with postmenopausal status (p = 0.003), were associated with low fat taste sensitivity irrespective of age and consumed percentage energy from fat. Postmenopausal status and BMI are associated with low fat taste sensitivity. Fat hyposensitivity may also play a role in eating habits, leading to increased eating occasions and favoring certain types of food. These eating habits may determine increased body weight and the occurrence of metabolic syndrome in mid-life women, especially those who have undergone menopause and have been exposed to the physiological changes which are conducive to these relationships.
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Feeney EL, McGuinness L, Hayes JE, Nolden AA. Genetic variation in sensation affects food liking and intake. Curr Opin Food Sci 2021. [DOI: 10.1016/j.cofs.2021.07.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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6
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Graham CAM, Pilic L, Mcgrigor E, Brown M, Easton IJ, Kean JN, Sarel V, Wehliye Y, Davis N, Hares N, Barac D, King A, Mavrommatis Y. The Associations Between Bitter and Fat Taste Sensitivity, and Dietary Fat Intake: Are They Impacted by Genetic Predisposition? Chem Senses 2021; 46:6297428. [PMID: 34117880 DOI: 10.1093/chemse/bjab029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
A relationship between bitter and fat taste sensitivity, CD36 rs1761667 and TAS2R38 has been demonstrated. However, research is scarce and does not take diet into account. This study aimed to explore associations between genetics, fat and bitter taste sensitivity and dietary fat intake in healthy UK adults. A cross-sectional study was carried out on 88 Caucasian participants (49 females and 39 males aged 35 ± 1 years; body mass index 24.9 ± 0.5 kg/m2). Bitter taste sensitivity was assessed using phenylthiocarbamide (PTC) impregnated strips and the general Labeled Magnitude Scale. Fat taste sensitivity was assessed by the Ascending Forced Choice Triangle Procedure and dietary intake with a semi-quantitative food frequency questionnaire. Genotyping for rs713598, rs1726866, rs10246939, and rs1761667 was performed. Participants with TAS2R38 PAV/PAV diplotype perceived PTC strips as more bitter than groups carrying AVI haplotypes (AVI/AVI, P = 1 × 10-6; AVI/AAV, P = 0.029). CD36 rs1761667 was associated with fat taste sensitivity (P = 0.008). A negative correlation between bitter taste sensitivity and saturated fat intake was observed (rs = -0.256, P = 0.016). When combining the CD36 genotypes and TAS2R38 diplotypes into one variable, participants carrying both TAS2R38 AVI haplotype and CD36 A allele had a higher intake of saturated fat compared to carriers of CD36 GG genotype or TAS2R38 PAV/PAV and PAV/AAV diplotypes (13.8 ± 0.3 vs. 12.6 ± 0.5%TEI, P = 0.047) warranting further exploration in a larger cohort.
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Affiliation(s)
- Catherine Anna-Marie Graham
- Oxford Brookes Centre for Nutrition and Health, Oxford Brookes, Faculty of Health and Life Sciences, Department of Sport, Health and Social Work, Oxford Brookes University, Headington Campus, Oxford OX3 0BP, UK
| | - Leta Pilic
- Faculty of Sport, Allied Health and Performance Sciences, Department of Health Science, St Mary's University Twickenham, Waldegrave Road, London TW1 4SX, UK
| | - Ella Mcgrigor
- Oxford Brookes Centre for Nutrition and Health, Oxford Brookes, Faculty of Health and Life Sciences, Department of Sport, Health and Social Work, Oxford Brookes University, Headington Campus, Oxford OX3 0BP, UK
| | - Megan Brown
- Faculty of Sport, Allied Health and Performance Sciences, Department of Health Science, St Mary's University Twickenham, Waldegrave Road, London TW1 4SX, UK
| | - Isabelle Jane Easton
- Oxford Brookes Centre for Nutrition and Health, Oxford Brookes, Faculty of Health and Life Sciences, Department of Sport, Health and Social Work, Oxford Brookes University, Headington Campus, Oxford OX3 0BP, UK
| | - Jonathan Nyuma Kean
- Faculty of Sport, Allied Health and Performance Sciences, Department of Health Science, St Mary's University Twickenham, Waldegrave Road, London TW1 4SX, UK
| | - Verity Sarel
- Oxford Brookes Centre for Nutrition and Health, Oxford Brookes, Faculty of Health and Life Sciences, Department of Sport, Health and Social Work, Oxford Brookes University, Headington Campus, Oxford OX3 0BP, UK
| | - Yasmin Wehliye
- Faculty of Sport, Allied Health and Performance Sciences, Department of Health Science, St Mary's University Twickenham, Waldegrave Road, London TW1 4SX, UK
| | - Natalie Davis
- Oxford Brookes Centre for Nutrition and Health, Oxford Brookes, Faculty of Health and Life Sciences, Department of Sport, Health and Social Work, Oxford Brookes University, Headington Campus, Oxford OX3 0BP, UK
| | - Nisrin Hares
- Faculty of Sport, Allied Health and Performance Sciences, Department of Health Science, St Mary's University Twickenham, Waldegrave Road, London TW1 4SX, UK
| | - Deanna Barac
- Oxford Brookes Centre for Nutrition and Health, Oxford Brookes, Faculty of Health and Life Sciences, Department of Sport, Health and Social Work, Oxford Brookes University, Headington Campus, Oxford OX3 0BP, UK
| | - Alexandra King
- Faculty of Sport, Allied Health and Performance Sciences, Department of Health Science, St Mary's University Twickenham, Waldegrave Road, London TW1 4SX, UK
| | - Yiannis Mavrommatis
- Faculty of Sport, Allied Health and Performance Sciences, Department of Health Science, St Mary's University Twickenham, Waldegrave Road, London TW1 4SX, UK
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