Low-Grade Inflammation and Ultra-Processed Foods Consumption: A Review
Abstract
:1. Introduction
2. Low-Grade Inflammation
Diet as a Risk Factor for Low-Grade Inflammation
3. Ultra-Processed Foods (UPF)
4. UPF and Low-Grade Inflammation
5. Possible Mechanisms Explaining the Relationship between UPF and Low-Grade Inflammation
5.1. Nutritional Aspects
5.2. Non-Nutritional Aspects
5.3. Gut Microbiota Modulation
6. Conclusions and Future Perspectives
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Furman, D.; Campisi, J.; Verdin, E.; Carrera-Bastos, P.; Targ, S.; Franceschi, C.; Ferrucci, L.; Gilroy, D.W.; Fasano, A.; Miller, G.W.; et al. Chronic inflammation in the etiology of disease across the life span. Nat. Med. 2019, 25, 1822–1832. [Google Scholar] [CrossRef] [PubMed]
- Hotamisligil, G.S. Foundations of Immunometabolism and Implications for Metabolic Health and Disease. Immunity 2017, 47, 406–420. [Google Scholar] [CrossRef] [Green Version]
- GBD 2017 Diet Collaborators. Health effects of dietary risks in 195 countries, 1990–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet 2019, 393, 1958–1972. [Google Scholar] [CrossRef] [Green Version]
- Marino, M.; Puppo, F.; Del Bo’, C.; Vinelli, V.; Riso, P.; Porrini, M.; Martini, D. A Systematic Review of Worldwide Consumption of Ultra-Processed Foods: Findings and Criticisms. Nutrients 2021, 13, 2778. [Google Scholar] [CrossRef]
- Monteiro, C.A.; Levy, R.B.; Claro, R.M.; Castro, I.R.; Cannon, G. A new classification of foods based on the extent and purpose of their processing. Cad. Saude. Publica 2010, 26, 2039–2049. [Google Scholar] [CrossRef] [Green Version]
- Pagliai, G.; Dinu, M.; Madarena, M.P.; Bonaccio, M.; Iacoviello, L.; Sofi, F. Consumption of ultra-processed foods and health status: A systematic review and meta-analysis. Br. J. Nutr. 2021, 125, 308–318. [Google Scholar] [CrossRef] [PubMed]
- Marshall, J.S.; Warrington, R.; Watson, W.; Kim, H.L. An introduction to immunology and immunopathology. Allergy Asthma Clin. Immunol. 2018, 14, 49. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Medzhitov, R. Inflammation 2010: New adventures of an old flame. Cell 2010, 140, 771–776. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kotas, M.E.; Medzhitov, R. Homeostasis, inflammation, and disease susceptibility. Cell 2015, 160, 816–827. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Fullerton, J.N.; Gilroy, D.W. Resolution of inflammation: A new therapeutic frontier. Nat. Rev. Drug Discov. 2016, 15, 551–567. [Google Scholar] [CrossRef]
- Calder, P.C.; Ahluwalia, N.; Albers, R.; Bosco, N.; Bourdet-Sicard, R.; Haller, D.; Holgate, S.T.; Jönsson, L.S.; Latulippe, M.E.; Marcos, A.; et al. A consideration of biomarkers to be used for evaluation of inflammation in human nutritional studies. Br. J. Nutr. 2013, 109, S1–S34. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Serhan, C.N.; Brain, S.D.; Buckley, C.D.; Gilroy, D.W.; Haslett, C.; O’Neill, L.A.; Perretti, M.; Rossi, A.G.; Wallace, J.L. Resolution of inflammation: State of the art, definitions and terms. FASEB J. 2007, 21, 325–332. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hotamisligil, G.S. Inflammation, metaflammation and immunometabolic disorders. Nature 2017, 542, 177–185. [Google Scholar] [CrossRef]
- Hotamisligil, G.S. Inflammation and metabolic disorders. Nature 2006, 444, 860–867. [Google Scholar] [CrossRef] [PubMed]
- Liu, C.; Feng, X.; Li, Q.; Wang, Y.; Li, Q.; Hua, M. Adiponectin, TNF-α and inflammatory cytokines and risk of type 2 diabetes: A systematic review and meta-analysis. Cytokine 2016, 86, 100–109. [Google Scholar] [CrossRef]
- Lawler, P.R.; Bhatt, D.L.; Godoy, L.C.; Lüscher, T.F.; Bonow, R.O.; Verma, S.; Ridker, P.M. Targeting cardiovascular inflammation: Next steps in clinical translation. Eur. Heart J. 2021, 42, 113–131. [Google Scholar] [CrossRef]
- Fouad, Y.A.; Aanei, C. Revisiting the hallmarks of cancer. Am. J. Cancer Res. 2017, 7, 1016–1036. [Google Scholar]
- Calder, P.C.; Ahluwalia, N.; Brouns, F.; Buetler, T.; Clement, K.; Cunningham, K.; Esposito, K.; Jönsson, L.S.; Kolb, H.; Lansink, M.; et al. Dietary factors and low-grade inflammation in relation to overweight and obesity. Br. J. Nutr. 2011, 106, S5–S78. [Google Scholar] [CrossRef]
- Ramos-Lopez, O.; Martinez-Urbistondo, D.; Vargas-Nuñez, J.A.; Martinez, J.A. The Role of Nutrition on Meta-inflammation: Insights and Potential Targets in Communicable and Chronic Disease Management. Curr. Obes. Rep. 2022, 11, 305–335. [Google Scholar] [CrossRef]
- Shin, P.K.; Park, S.J.; Kim, M.S.; Kwon, D.Y.; Kim, M.J.; Kim, K.; Chun, S.; Lee, H.J.; Choi, S.W. A Traditional Korean Diet with a Low Dietary Inflammatory Index Increases Anti-Inflammatory IL-10 and Decreases Pro-Inflammatory NF-κB in a Small Dietary Intervention Study. Nutrients 2020, 12, 2468. [Google Scholar] [CrossRef]
- Bonaccio, M.; Costanzo, S.; Di Castelnuovo, A.; Gialluisi, A.; Ruggiero, E.; De Curtis, A.; Persichillo, M.; Cerletti, C.; Donati, M.B.; de Gaetano, G.; et al. Increased Adherence to a Mediterranean Diet Is Associated with Reduced Low-Grade Inflammation after a 12.7-Year Period: Results from the Moli-sani Study. J. Acad. Nutr. Diet. 2022. [Google Scholar] [CrossRef]
- Schwingshackl, L.; Hoffmann, G. Mediterranean dietary pattern, inflammation and endothelial function: A systematic review and meta-analysis of intervention trials. Nutr. Metab. Cardiovasc. Dis. 2014, 24, 929–939. [Google Scholar] [CrossRef]
- Koelman, L.; Egea Rodrigues, C.; Aleksandrova, K. Effects of Dietary Patterns on Biomarkers of Inflammation and Immune Responses: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Adv. Nutr. 2022, 13, 101–115. [Google Scholar] [CrossRef] [PubMed]
- Lankinen, M.; Uusitupa, M.; Schwab, U. Nordic Diet and Inflammation—A Review of Observational and Intervention Studies. Nutrients 2019, 11, 1369. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Costa, C.S.; Del-Ponte, B.; Assunção, M.C.; Santos, I.S. Consumption of ultra-processed foods and body fat during childhood and adolescence: A systematic review. Public Health Nutr. 2018, 21, 148–159. [Google Scholar] [CrossRef] [Green Version]
- Lopez-Garcia, E.; Schulze, M.B.; Fung, T.T.; Meigs, J.B.; Rifai, N.; Manson, J.E.; Hu, F.B. Major dietary patterns are related to plasma concentrations of markers of inflammation and endothelial dysfunction. Am. J. Clin. Nutr. 2004, 80, 1029–1035. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Tabung, F.K.; Smith-Warner, S.A.; Chavarro, J.E.; Wu, K.; Fuchs, C.S.; Hu, F.B.; Chan, A.T.; Willett, W.C.; Giovannucci, E.L. Development and Validation of an Empirical Dietary Inflammatory Index. J. Nutr. 2016, 146, 1560–1570. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Marx, W.; Veronese, N.; Kelly, J.T.; Smith, L.; Hockey, M.; Collins, S.; Trakman, G.L.; Hoare, E.; Teasdale, S.B.; Wade, A.; et al. The Dietary Inflammatory Index and Human Health: An Umbrella Review of Meta-Analyses of Observational Studies. Adv. Nutr. 2021, 12, 1681–1690. [Google Scholar] [CrossRef]
- Aromataris, E.; Fernandez, R.; Godfrey, C.M.; Holly, C.; Khalil, H.; Tungpunkom, P. Summarizing systematic reviews: Methodological development, conduct and reporting of an umbrella review approach. Int. J. Evid. Based Healthc. 2015, 13, 132–140. [Google Scholar] [CrossRef] [Green Version]
- Parker, W.R.; Annabathula, R.V.; Skipina, T.M.; Soliman, E.Z. Associations of empirical dietary inflammatory index with heart failure in adults from the United States. Eur. J. Clin. Nutr. 2023, 77, 112–115. [Google Scholar] [CrossRef]
- Farhadnejad, H.; Tehrani, A.N.; Jahromi, M.K.; Teymoori, F.; Mokhtari, E.; Salehi-Sahlabadi, A.; Mirmiran, P. The association between dietary inflammation scores and non-alcoholic fatty liver diseases in Iranian adults. BMC Gastroenterol. 2022, 22, 267. [Google Scholar] [CrossRef]
- Pang, T.; Alman, A.C.; Gray, H.L.; Basu, A.; Shi, L.; Snell-Bergeon, J.K. Empirical dietary inflammatory pattern and metabolic syndrome: Prospective association in participants with and without type 1 diabetes mellitus in the coronary artery calcification in type 1 diabetes (CACTI) study. Nutr. Res. 2021, 94, 1–9. [Google Scholar] [CrossRef]
- Cong, X.; Tracy, M.; Edmunds, L.S.; Hosler, A.S.; Appleton, A.A. The relationship between inflammatory dietary pattern in childhood and depression in early adulthood. Brain Behav. Immun. Health 2020, 2, 100017. [Google Scholar] [CrossRef]
- Tabung, F.K.; Satija, A.; Fung, T.T.; Clinton, S.K.; Giovannucci, E.L. Long-Term Change in both Dietary Insulinemic and Inflammatory Potential Is Associated with Weight Gain in Adult Women and Men. J. Nutr. 2019, 149, 804–815. [Google Scholar] [CrossRef] [PubMed]
- Soltani, S.; Moslehi, N.; Hosseini-Esfahani, F.; Vafa, M. The Association between Empirical Dietary Inflammatory Pattern and Metabolic Phenotypes in Overweight/Obese Adults. Int. J. Endocrinol. Metab. 2018, 16, e60048. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Shakeri, Z.; Mirmiran, P.; Khalili-Moghadam, S.; Hosseini-Esfahani, F.; Ataie-Jafari, A.; Azizi, F. Empirical dietary inflammatory pattern and risk of metabolic syndrome and its components: Tehran Lipid and Glucose Study. Diabetol. Metab. Syndr. 2019, 11, 16. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Monteiro, C.A.; Moubarac, J.C.; Cannon, G.; Ng, S.W.; Popkin, B. Ultra-processed products are becoming dominant in the global food system. Obes. Rev. 2013, 14, 21–28. [Google Scholar] [CrossRef]
- Monteiro, C.A. Nutrition and health. The issue is not food, nor nutrients, so much as processing. Public Health Nutr. 2009, 12, 729–731. [Google Scholar] [CrossRef] [Green Version]
- Wang, L.; Du, M.; Wang, K.; Khandpur, N.; Rossato, S.L.; Drouin-Chartier, J.; Steele, E.M.; Giovannucci, E.; Song, M.; Zhang, F.F. Association of ultra-processed food consumption with colorectal cancer risk among men and women: Results from three prospective US cohort studies. BMJ 2022, 378, e068921. [Google Scholar] [CrossRef]
- Martini, D.; Godos, J.; Bonaccio, M.; Vitaglione, P.; Grosso, G. Ultra-Processed Foods and Nutritional Dietary Profile: A Meta-Analysis of Nationally Representative Samples. Nutrients 2021, 13, 3390. [Google Scholar] [CrossRef]
- Monteiro, C.A.; Cannon, G.; Lawrence, M.; Costa Louzada, M.L.; Pereira Machado, P. Ultra-Processed Foods, Diet Quality, and Health Using the NOVA Classification System; FAO: Rome, Italy, 2019. [Google Scholar]
- Buckley, J.P.; Kim, H.; Wong, E.; Rebholz, C.M. Ultra-processed food consumption and exposure to phthalates and bisphenols in the US National Health and Nutrition Examination Survey, 2013–2014. Environ. Int. 2019, 131, 105057. [Google Scholar] [CrossRef] [PubMed]
- Small, D.M.; DiFeliceantonio, A.G. Processed foods and food reward. Science 2019, 363, 346–347. [Google Scholar] [CrossRef]
- Lane, M.M.; Davis, J.A.; Beattie, S.; Gómez-Donoso, C.; Loughman, A.; O’Neil, A.; Jacka, F.; Berk, M.; Page, R.; Marx, W.; et al. Ultraprocessed food and chronic noncommunicable diseases: A systematic review and meta-analysis of 43 observational studies. Obes. Rev. 2021, 22, e13146. [Google Scholar] [CrossRef]
- Wang, M.; Du, X.; Huang, W.; Xu, Y. Ultra-processed Foods Consumption Increases the Risk of Hypertension in Adults: A Systematic Review and Meta-analysis. Am. J. Hypertens. 2022, 35, 892–901. [Google Scholar] [CrossRef]
- Moradi, S.; Entezari, M.H.; Mohammadi, H.; Jayedi, A.; Lazaridi, A.V.; Kermani, M.A.; Miraghajani, M. Ultra-processed food consumption and adult obesity risk: A systematic review and dose-response meta-analysis. Crit. Rev. Food Sci. Nutr. 2023, 63, 249–260. [Google Scholar] [CrossRef] [PubMed]
- Moradi, S.; Hojjati Kermani, M.A.; Bagheri, R.; Mohammadi, H.; Jayedi, A.; Lane, M.M.; Asbaghi, O.; Mehrabani, S.; Suzuki, K. Ultra-Processed Food Consumption and Adult Diabetes Risk: A Systematic Review and Dose-Response Meta-Analysis. Nutrients 2021, 13, 4410. [Google Scholar] [CrossRef] [PubMed]
- Fiolet, T.; Srour, B.; Sellem, L.; Kesse-Guyot, E.; Allès, B.; Méjean, C.; Deschasaux, M.; Fassier, P.; Latino-Martel, P.; Beslay, M.; et al. Consumption of ultra-processed foods and cancer risk: Results from NutriNet-Santé prospective cohort. BMJ 2018, 360, k322. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Lane, M.M.; Gamage, E.; Travica, N.; Dissanayaka, T.; Ashtree, D.N.; Gauci, S.; Lotfaliany, M.; O'Neil, A.; Jacka, F.N.; Marx, W. Ultra-Processed Food Consumption and Mental Health: A Systematic Review and Meta-Analysis of Observational Studies. Nutrients 2022, 14, 2568. [Google Scholar] [CrossRef]
- Taneri, P.E.; Wehrli, F.; Roa-Díaz, Z.M.; Itodo, O.A.; Salvador, D.; Raeisi-Dehkordi, H.; Bally, L.; Minder, B.; Kiefte-de Jong, J.C.; Laine, J.E.; et al. Association Between Ultra-Processed Food Intake and All-Cause Mortality: A Systematic Review and Meta-Analysis. Am. J. Epidemiol. 2022, 191, 1323–1335. [Google Scholar] [CrossRef]
- Suksatan, W.; Moradi, S.; Naeini, F.; Bagheri, R.; Mohammadi, H.; Talebi, S.; Mehrabani, S.; Hojjati Kermani, M.A.; Suzuki, K. Ultra-Processed Food Consumption and Adult Mortality Risk: A Systematic Review and Dose-Response Meta-Analysis of 207,291 Participants. Nutrients 2021, 14, 174. [Google Scholar] [CrossRef]
- Louzada, M.L.; Costa, C.D.; Souza, T.N.; Cruz, G.L.; Levy, R.B.; Monteiro, C.A. Impact of the consumption of ultra-processed foods on children, adolescents and adults’ health: Scope review. Cad. Saude. Publica 2022, 37, e00323020. [Google Scholar] [CrossRef]
- Hall, K.D.; Ayuketah, A.; Brychta, R.; Cai, H.; Cassimatis, T.; Chen, K.Y.; Chung, S.T.; Costa, E.; Courville, A.; Darcey, V.; et al. Ultra-Processed Diets Cause Excess Calorie Intake and Weight Gain: An Inpatient Randomized Controlled Trial of Ad Libitum Food Intake. Cell Metab. 2019, 30, 67–77. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Lopes, A.E.; Araújo, L.F.; Levy, R.B.; Barreto, S.M.; Giatti, L. Association between consumption of ultra-processed foods and serum C-reactive protein levels: Cross-sectional results from the ELSA-Brasil study. Sao Paulo Med. J. 2019, 137, 169–176. [Google Scholar] [CrossRef] [Green Version]
- Lane, M.M.; Lotfaliany, M.; Forbes, M.; Loughman, A.; Rocks, T.; O’Neil, A.; Machado, P.; Jacka, F.N.; Hodge, A.; Marx, W. Higher Ultra-Processed Food Consumption Is Associated with Greater High-Sensitivity C-Reactive Protein Concentration in Adults: Cross-Sectional Results from the Melbourne Collaborative Cohort Study. Nutrients 2022, 14, 3309. [Google Scholar] [CrossRef]
- Martins, G.M.; França, A.K.; Viola, P.C.; Carvalho, C.A.; Marques, K.D.; Santos, A.M.; Batalha, M.A.; Alves, J.D.; Ribeiro, C.C. Intake of ultra-processed foods is associated with inflammatory markers in Brazilian adolescents. Public Health Nutr. 2022, 25, 591–599. [Google Scholar] [CrossRef] [PubMed]
- Silva Dos Santos, F.; Costa Mintem, G.; de Oliveira, I.O.; Horta, B.L.; Ramos, E.; Lopes, C.; Gigante, D.P. Consumption of ultra-processed foods and interleukin-6 in two cohorts from high- and middle-income countries. Br. J. Nutr. 2022, 1–11. [Google Scholar] [CrossRef]
- Kelsey, P.T.; Papadopoulou, E.; Borge, T.C.; Dahl, C.; Brantsæter, A.L.; Erlund, I.; Meltzer, H.M.; Haug, L.S.; Caspersen, I.H. Ultra-processed food consumption and associations with biomarkers of nutrition and inflammation in pregnancy: The Norwegian Environmental Biobank. Front. Nutr. 2022, 9, 1052001. [Google Scholar] [CrossRef]
- Mignogna, C.; Costanzo, S.; Di Castelnuovo, A.; Ruggiero, E.; Shivappa, N.; Hebert, J.R.; Esposito, S.; De Curtis, A.; Persichillo, M.; Cerletti, C.; et al. The inflammatory potential of the diet as a link between food processing and low-grade inflammation: An analysis on 21,315 participants to the Moli-sani study. Clin. Nutr. 2022, 41, 2226–2234. [Google Scholar] [CrossRef]
- Silva, C.A.; Santos, I.D.S.; Shivappa, N.; Hebert, J.R.; Crivellenti, L.C.; Sartorelli, D.S. The role of food processing in the inflammatory potential of diet during pregnancy. Rev. Saude. Publica 2019, 53, 113. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Christ, A.; Lauterbach, M.; Latz, E. Western Diet and the Immune System: An Inflammatory Connection. Immunity 2019, 51, 794–811. [Google Scholar] [CrossRef]
- Atkinson, F.S.; Brand-Miller, J.C.; Foster-Powell, K.; Buyken, A.E.; Goletzke, J. International tables of glycemic index and glycemic load values 2021: A systematic review. Am. J. Clin. Nutr. 2021, 114, 1625–1632. [Google Scholar] [CrossRef] [PubMed]
- Dror, E.; Dalmas, E.; Meier, D.T.; Wueest, S.; Thévenet, J.; Thienel, C.; Timper, K.; Nordmann, T.M.; Traub, S.; Schulze, F.; et al. Postprandial macrophage-derived IL-1β stimulates insulin, and both synergistically promote glucose disposal and inflammation. Nat. Immunol. 2017, 18, 283–292. [Google Scholar] [CrossRef] [Green Version]
- Vitale, M.; Masulli, M.; Rivellese, A.A.; Babini, A.C.; Boemi, M.; Bonora, E.; Buzzetti, R.; Ciano, O.; Cignarelli, M.; Cigolini, M.; et al. Influence of dietary fat and carbohydrates proportions on plasma lipids, glucose control and low-grade inflammation in patients with type 2 diabetes-The TOSCA.IT Study. Eur. J. Nutr. 2016, 55, 1645–1651. [Google Scholar] [CrossRef] [Green Version]
- de Koning, L.; Malik, V.S.; Kellogg, M.D.; Rimm, E.B.; Willett, W.C.; Hu, F.B. Sweetened beverage consumption, incident coronary heart disease, and biomarkers of risk in men. Circulation 2012, 125, 1735–1741. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kosova, E.C.; Auinger, P.; Bremer, A.A. The Relationships between Sugar-Sweetened Beverage Intake and Cardiometabolic Markers in Young Children. J. Acad. Nutr. Diet. 2013, 113, 219–227. [Google Scholar] [CrossRef] [Green Version]
- Hert, K.A.; Fisk, P.S.; Rhee, Y.S.; Brunt, A.R. Decreased consumption of sugar-sweetened beverages improved selected biomarkers of chronic disease risk among US adults: 1999 to 2010. Nutr. Res. 2014, 34, 58–65. [Google Scholar] [CrossRef] [PubMed]
- Liu, S.; Manson, J.E.; Buring, J.E.; Stampfer, M.J.; Willett, W.C.; Ridker, P.M. Relation between a diet with a high glycemic load and plasma concentrations of high-sensitivity C-reactive protein in middle-aged women. Am. J. Clin. Nutr. 2002, 75, 492–498. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Milajerdi, A.; Saneei, P.; Larijani, B.; Esmaillzadeh, A. The effect of dietary glycemic index and glycemic load on inflammatory biomarkers: A systematic review and meta-analysis of randomized clinical trials. Am. J. Clin. Nutr. 2018, 107, 593–606. [Google Scholar] [CrossRef] [Green Version]
- Li, K.; Song, H.; Wei, F.; Liu, D.; Zhao, Y.; Yin, H.; Cui, Y.; Zhang, H.; Liu, Z. High salt intake damages myocardial viability and induces cardiac remodeling via chronic inflammation in the elderly. Front. Cardiovasc. Med. 2022, 9, 952691. [Google Scholar] [CrossRef]
- Yilmaz, R.; Akoglu, H.; Altun, B.; Yildirim, T.; Arici, M.; Erdem, Y. Dietary salt intake is related to inflammation and albuminuria in primary hypertensive patients. Eur. J. Clin. Nutr. 2012, 66, 1214–1218. [Google Scholar] [CrossRef]
- Zhu, H.; Pollock, N.K.; Kotak, I.; Gutin, B.; Wang, X.; Bhagatwala, J.; Parikh, S.; Harshfield, G.A.; Dong, Y. Dietary sodium, adiposity, and inflammation in healthy adolescents. Pediatrics 2014, 133, e635–e642. [Google Scholar] [CrossRef] [Green Version]
- Basdeki, E.D.; Kollias, A.; Mitrou, P.; Tsirimiagkou, C.; Georgakis, M.K.; Chatzigeorgiou, A.; Argyris, A.; Karatzi, K.; Manios, Y.; Sfikakis, P.P.; et al. Does Sodium Intake Induce Systemic Inflammatory Response? A Systematic Review and Meta-Analysis of Randomized Studies in Humans. Nutrients 2021, 13, 2632. [Google Scholar] [CrossRef] [PubMed]
- Pranger, I.G.; Muskiet, F.A.; Kema, I.P.; Singh-Povel, C.; Bakker, S.J. Potential Biomarkers for Fat from Dairy and Fish and Their Association with Cardiovascular Risk Factors: Cross-sectional Data from the LifeLines Biobank and Cohort Study. Nutrients 2019, 11, 1099. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hadj Ahmed, S.; Kharroubi, W.; Kaoubaa, N.; Zarrouk, A.; Batbout, F.; Gamra, H.; Najjar, M.F.; Lizard, G.; Hininger-Favier, I.; Hammami, M. Correlation of trans fatty acids with the severity of coronary artery disease lesions. Lipids Health Dis. 2018, 17, 52. [Google Scholar] [CrossRef] [Green Version]
- Antoniazzi, L.; Arroyo-Olivares, R.; Bittencourt, M.S.; Tada, M.T.; Lima, I.; Jannes, C.E.; Krieger, J.E.; Pereira, A.C.; Quintana-Navarro, G.; Muñiz-Grijalvo, O.; et al. Association of dietary components with dyslipidemia and low-grade inflammation biomarkers in adults with heterozygous familial hypercholesterolemia from different countries. Eur. J. Clin. Nutr. 2019, 73, 1622–1625. [Google Scholar] [CrossRef]
- DiNicolantonio, J.J.; O’Keefe, J.H. Importance of maintaining a low omega-6/omega-3 ratio for reducing inflammation. Open Heart 2018, 5, e000946. [Google Scholar] [CrossRef] [PubMed]
- Neale, E.P.; Batterham, M.J.; Tapsell, L.C. Consumption of a healthy dietary pattern results in significant reductions in C-reactive protein levels in adults: A meta-analysis. Nutr. Res. 2016, 36, 391–401. [Google Scholar] [CrossRef]
- Bahrampour, N.; Shiraseb, F.; Noori, S.; Clark, C.C.; Mirzaei, K. Is there any putative mediatory role of inflammatory markers on the association between ultra-processed foods and resting metabolic rate? Front. Nutr. 2022, 9, 932225. [Google Scholar] [CrossRef]
- Dinu, M.; Asensi, M.T.; Pagliai, G.; Lotti, S.; Martini, D.; Colombini, B.; Sofi, F. Consumption of Ultra-Processed Foods Is Inversely Associated with Adherence to the Mediterranean Diet: A Cross-Sectional Study. Nutrients 2022, 14, 2073. [Google Scholar] [CrossRef]
- Liu, T.; Wang, C.; Wang, Y.Y.; Wang, L.L.; Ojo, O.; Feng, Q.Q.; Jiang, X.S.; Wang, X.H. Effect of dietary fiber on gut barrier function, gut microbiota, short-chain fatty acids, inflammation, and clinical outcomes in critically ill patients: A systematic review and meta-analysis. JPEN J. Parenter. Enteral Nutr. 2022, 46, 997–1010. [Google Scholar] [CrossRef]
- Hébert, J.R.; Shivappa, N.; Wirth, M.D.; Hussey, J.R.; Hurley, T.G. Perspective: The Dietary Inflammatory Index (DII)-Lessons Learned, Improvements Made, and Future Directions. Adv. Nutr. 2019, 10, 185–195. [Google Scholar] [CrossRef]
- Monteiro, C.A.; Cannon, G.; Moubarac, J.C. The UN Decade of Nutrition, the NOVA food classification and the trouble with ultra-processing. Public Health Nutr. 2018, 21, 5–17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Debras, C.; Chazelas, E.; Sellem, L.; Porcher, R.; Druesne-Pecollo, N.; Esseddik, Y.; de Edelenyi, F.S.; Agaësse, C.; De Sa, A.; Lutchia, R.; et al. Artificial sweeteners and risk of cardiovascular diseases: Results from the prospective NutriNet-Santé cohort. BMJ 2022, 378, e071204. [Google Scholar] [CrossRef]
- Bian, X.; Chi, L.; Gao, B.; Tu, P.; Ru, H.; Lu, K. Gut Microbiome Response to Sucralose and Its Potential Role in Inducing Liver Inflammation in Mice. Front. Physiol. 2017, 8, 487. [Google Scholar] [CrossRef] [Green Version]
- Bian, X.; Tu, P.; Chi, L.; Gao, B.; Ru, H.; Lu, K. Saccharin induced liver inflammation in mice by altering the gut microbiota and its metabolic functions. Food Chem. Toxicol. 2017, 107, 530–539. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Viennois, E.; Merlin, D.; Gewirtz, A.T.; Chassaing, B. Dietary Emulsifier-Induced Low-Grade Inflammation Promotes Colon Carcinogenesis. Cancer Res. 2017, 77, 27–40. [Google Scholar] [CrossRef] [Green Version]
- Murali, A.; Giri, V.; Cameron, H.J.; Sperber, S.; Zickgraf, F.M.; Haake, V.; Driemert, P.; Walk, T.; Kamp, H.; Rietjens, I.M.; et al. Investigating the gut microbiome and metabolome following treatment with artificial sweeteners acesulfame potassium and saccharin in young adult Wistar rats. Food Chem. Toxicol. 2022, 165, 113123. [Google Scholar] [CrossRef] [PubMed]
- Chassaing, B.; Koren, O.; Goodrich, J.K.; Poole, A.C.; Srinivasan, S.; Ley, R.E.; Gewirtz, A.T. Dietary emulsifiers impact the mouse gut microbiota promoting colitis and metabolic syndrome. Nature 2015, 519, 92–96. [Google Scholar] [CrossRef] [Green Version]
- Khan, T.A.; Sievenpiper, J.L. Low-energy sweeteners and cardiometabolic health: Is there method in the madness? Am. J. Clin. Nutr. 2020, 112, 917–919. [Google Scholar] [CrossRef]
- Greyling, A.; Appleton, K.M.; Raben, A.; Mela, D.J. Acute glycemic and insulinemic effects of low-energy sweeteners: A systematic review and meta-analysis of randomized controlled trials. Am. J. Clin. Nutr. 2020, 112, 1002–1014. [Google Scholar] [CrossRef]
- Zhang, R.; Noronha, J.C.; Khan, T.A.; McGlynn, N.; Back, S.; Grant, S.M.; Kendall, C.W.; Sievenpiper, J.L. The Effect of Non-Nutritive Sweetened Beverages on Postprandial Glycemic and Endocrine Responses: A Systematic Review and Network Meta-Analysis. Nutrients 2023, 15, 1050. [Google Scholar] [CrossRef] [PubMed]
- Huang, Y.C.; Huang, P.R.; Lo, Y.C.; Sun, C.W.; Pan, W.H.; Wang, S.L.; Huang, H.B. Food Processing and Phthalate Exposure: The Nutrition and Health Survey in Taiwan (1993–1996 and 2005–2008). Front. Nutr. 2021, 8, 766992. [Google Scholar] [CrossRef]
- Dubeau, C.; Aker, A.; Caron-Beaudoin, É.; Ayotte, P.; Blanchette, C.; McHugh, N.G.; Lemire, M. Perfluoroalkyl acid and bisphenol-A exposure via food sources in four First Nation communities in Quebec, Canada. Public Health Nutr. 2023, 26, 106–121. [Google Scholar] [CrossRef] [PubMed]
- Naspolini, N.F.; Machado, P.P.; Moreira, J.C.; Asmus, C.I.; Meyer, A. Maternal consumption of ultra-processed foods and newborn exposure to perfluoroalkyl substances (PFAS). Cad. Saude. Publica 2021, 37, e00152021. [Google Scholar] [CrossRef]
- Martínez Steele, E.; Khandpur, N.; da Costa Louzada, M.L.; Monteiro, C.A. Association between dietary contribution of ultra-processed foods and urinary concentrations of phthalates and bisphenol in a nationally representative sample of the US population aged 6 years and older. PLoS ONE 2020, 15, e0236738. [Google Scholar] [CrossRef]
- Moon, S.; Yu, S.H.; Lee, C.B.; Park, Y.J.; Yoo, H.J.; Kim, D.S. Effects of bisphenol A on cardiovascular disease: An epidemiological study using National Health and Nutrition Examination Survey 2003–2016 and meta-analysis. Sci. Total. Environ. 2021, 763, 142941. [Google Scholar] [CrossRef]
- Gore, A.C.; Chappell, V.A.; Fenton, S.E.; Flaws, J.A.; Nadal, A.; Prins, G.S.; Toppari, J.; Zoeller, R.T. EDC-2: The Endocrine Society’s Second Scientific Statement on Endocrine-Disrupting Chemicals. Endocr. Rev. 2015, 36, E1–E150. [Google Scholar] [CrossRef]
- Liu, Z.; Lu, Y.; Zhong, K.; Wang, C.; Xu, X. The associations between endocrine disrupting chemicals and markers of inflammation and immune responses: A systematic review and meta-analysis. Ecotoxicol. Environ. Saf. 2022, 234, 113382. [Google Scholar] [CrossRef]
- Ye, X.; Wong, L.Y.; Kramer, J.; Zhou, X.; Jia, T.; Calafat, A.M. Urinary Concentrations of Bisphenol A and Three Other Bisphenols in Convenience Samples of U.S. Adults during 2000–2014. Environ. Sci. Technol. 2015, 49, 11834–11839. [Google Scholar] [CrossRef] [PubMed]
- Wang, B.; Wang, X.; Yu, L.; Liu, W.; Song, J.; Fan, L.; Zhou, M.; Yang, M.; Ma, J.; Cheng, M.; et al. Acrylamide exposure increases cardiovascular risk of general adult population probably by inducing oxidative stress, inflammation, and TGF-β1: A prospective cohort study. Environ. Int. 2022, 164, 107261. [Google Scholar] [CrossRef]
- Feng, X.; Liang, R.; Shi, D.; Wang, D.; Xu, T.; Chen, W. Urinary acrolein metabolites, systemic inflammation, and blood lipids: Results from the National Health and Nutrition Examination Survey. Chemosphere 2022, 286, 131791. [Google Scholar] [CrossRef]
- Wang, B.; Yu, L.; Liu, W.; Yang, M.; Fan, L.; Zhou, M.; Ma, J.; Wang, X.; Nie, X.; Cheng, M. Cross-sectional and longitudinal associations of acrolein exposure with pulmonary function alteration: Assessing the potential roles of oxidative DNA damage, inflammation, and pulmonary epithelium injury in a general adult population. Environ. Int. 2022, 167, 107401. [Google Scholar] [CrossRef]
- Sommer, F.; Bäckhed, F. The gut microbiota—Masters of host development and physiology. Nat. Rev. Microbiol. 2013, 11, 227–238. [Google Scholar] [CrossRef]
- Petersen, C.; Round, J.L. Defining dysbiosis and its influence on host immunity and disease. Cell. Microbiol. 2014, 16, 1024–1033. [Google Scholar] [CrossRef] [PubMed]
- Silva, Y.P.; Bernardi, A.; Frozza, R.L. The Role of Short-Chain Fatty Acids from Gut Microbiota in Gut-Brain Communication. Front. Endocrinol. 2020, 11, 25. [Google Scholar] [CrossRef] [Green Version]
- Delzenne, N.M.; Olivares, M.; Neyrinck, A.M.; Beaumont, M.; Kjølbæk, L.; Larsen, T.M.; Benítez-Páez, A.; Romaní-Pérez, M.; Garcia-Campayo, V.; Bosscher, D.; et al. Nutritional interest of dietary fiber and prebiotics in obesity: Lessons from the MyNewGut consortium. Clin. Nutr. 2020, 39, 414–424. [Google Scholar] [CrossRef] [Green Version]
- Makki, K.; Deehan, E.C.; Walter, J.; Bäckhed, F. The Impact of Dietary Fiber on Gut Microbiota in Host Health and Disease. Cell Host Microbe 2018, 23, 705–715. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Sonnenburg, E.D.; Sonnenburg, J.L. Starving our microbial self: The deleterious consequences of a diet deficient in microbiota-accessible carbohydrates. Cell Metab. 2014, 20, 79–786. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kaczmarczyk, O.; Dąbek-Drobny, A.; Woźniakiewicz, M.; Paśko, P.; Dobrowolska-Iwanek, J.; Woźniakiewicz, A.; Targosz, A.; Ptak-Belowska, A.; Piątek-Guziewicz, A.; Zagrodzki, P.; et al. Association between fecal levels of Short-Chain Fatty Acids and serum Pro and Anti-Inflammatory Cytokines in patients with Inflammatory Bowel Disease. Folia Med. Cracov. 2022, 62, 43–55. [Google Scholar] [CrossRef]
- Guerville, M.; Leroy, A.; Sinquin, A.; Laugerette, F.; Michalski, M.C.; Boudry, G. Western-diet consumption induces alteration of barrier function mechanisms in the ileum that correlates with metabolic endotoxemia in rats. Am. J. Physiol. Endocrinol. Metab. 2017, 313, E107–E120. [Google Scholar] [CrossRef] [Green Version]
- López-Moreno, J.; García-Carpintero, S.; Jimenez-Lucena, R.; Haro, C.; Rangel-Zúñiga, O.A.; Blanco-Rojo, R.; Yubero-Serrano, E.M.; Tinahones, F.J.; Delgado-Lista, J.; Pérez-Martínez, P.; et al. Effect of Dietary Lipids on Endotoxemia Influences Postprandial Inflammatory Response. J. Agric. Food Chem. 2017, 65, 7756–7763. [Google Scholar] [CrossRef]
- Montrose, D.C.; Nishiguchi, R.; Basu, S.; Staab, H.A.; Zhou, X.K.; Wang, H.; Meng, L.; Johncilla, M.; Cubillos-Ruiz, J.R.; Morales, D.K.; et al. Dietary Fructose Alters the Composition, Localization, and Metabolism of Gut Microbiota in Association with Worsening Colitis. Cell. Mol. Gastroenterol. Hepatol. 2021, 11, 525–550. [Google Scholar] [CrossRef] [PubMed]
- Um, C.Y.; Hodge, R.A.; Tran, H.Q.; Campbell, P.T.; Gewirtz, A.T.; McCullough, M.L. Association of Emulsifier and Highly Processed Food Intake with Circulating Markers of Intestinal Permeability and Inflammation in the Cancer Prevention Study-3 Diet Assessment Sub-Study. Nutr. Cancer 2022, 74, 1701–1711. [Google Scholar] [CrossRef] [PubMed]
- Di Palo, D.M.; Garruti, G.; Di Ciaula, A.; Molina-Molina, E.; Shanmugam, H.; De Angelis, M.; Portincasa, P. Increased Colonic Permeability and Lifestyles as Contributing Factors to Obesity and Liver Steatosis. Nutrients 2020, 12, 564. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Partula, V.; Mondot, S.; Torres, M.J.; Kesse-Guyot, E.; Deschasaux, M.; Assmann, K.; Latino-Martel, P.; Buscail, C.; Julia, C.; Galan, P.; et al. Associations between usual diet and gut microbiota composition: Results from the Milieu Intérieur cross-sectional study. Am. J. Clin. Nutr. 2019, 109, 1472–1483. [Google Scholar] [CrossRef] [PubMed]
- Atzeni, A.; Martínez, M.Á.; Babio, N.; Konstanti, P.; Tinahones, F.J.; Vioque, J.; Corella, D.; Fitó, M.; Vidal, J.; Moreno-Indias, I.; et al. Association between ultra-processed food consumption and gut microbiota in senior subjects with overweight/obesity and metabolic syndrome. Front. Nutr. 2022, 9, 976547. [Google Scholar] [CrossRef]
- Swidsinski, A.; Ung, V.; Sydora, B.C.; Loening-Baucke, V.; Doerffel, Y.; Verstraelen, H.; Fedorak, R.N. Bacterial overgrowth and inflammation of small intestine after carboxymethylcellulose ingestion in genetically susceptible mice. Inflamm. Bowel Dis. 2009, 15, 359–364. [Google Scholar] [CrossRef]
- Chassaing, B.; Compher, C.; Bonhomme, B.; Liu, Q.; Tian, Y.; Walters, W.; Nessel, L.; Delaroque, C.; Hao, F.; Gershuni, V.; et al. Randomized Controlled-Feeding Study of Dietary Emulsifier Carboxymethylcellulose Reveals Detrimental Impacts on the Gut Microbiota and Metabolome. Gastroenterology 2022, 162, 743–756. [Google Scholar] [CrossRef] [PubMed]
- Bian, X.; Chi, L.; Gao, B.; Tu, P.; Ru, H.; Lu, K. The artificial sweetener acesulfame potassium affects the gut microbiome and body weight gain in CD-1 mice. PLoS ONE 2017, 12, e0178426. [Google Scholar] [CrossRef] [Green Version]
Author, Year | Study Design | Country | Participants, n | Gender | Age | Study Population | Outcome | Main Results |
---|---|---|---|---|---|---|---|---|
Lopes et al., 2019 [54] | Cross-sectional analysis of Longitudinal Study of Adult Health (ELSA-Brasil) baseline cohort | Brazil | 8468 | M/F | 35–74 | General population | CRP | A higher tertile of UPF intake was associated with a 14% increase in CRP levels only among women. Significance was lost when adjusting for BMI. |
Lane et al., 2022 [55] | Cross-sectional analysis of Melbourne Collaborative Cohort | Australia | 2018 | M/F | 57 ± 9 | General population | hs-CRP | A 100 g increase in UPF consumption was associated with a 4% increase in hs-CRP concentration, independently of BMI. |
Martins et al., 2022 [56] | Cross-sectional | Brazil | 391 | M/F | 17–18 | General population | Leptin, IL-6, IL-8, CRP TNF- α | The highest tertiles of UPF intake showed higher levels of CRP and serum leptin and a 79% increase in IL-8 levels. No association was found for IL-6 and TNF-α |
Silva Dos Santos et al., 2022 [57] | Cross-sectional analysis of EPITeen Cohort and Pelotas Birth Cohort | Brazil, Portugal | 3412 | M/F | 27–30 | General population | IL-6 | A positive association between levels of IL-6 and UPF intake was found among females from the Portugal cohort and males from the Brazil cohort. |
Kesley et al., 2022 [58] | Cross-sectional analysis of Norwegian Mother, Father and Child Cohort | Norway | 2984 | F | 30 ± 4 | Pregnant women | CRP | An increase UPF intake was associated with a 5.4% increase in CRP levels, even after adjustment for pre-pregnancy BMI |
Mignogna et al., 2022 [59] | Cross-sectional analysis of Moli-sani cohort | Italy | 21,315 | M/F | 55 ± 3 | General population | INFLA-score E-DII score | INFLA-score was associated with higher E-DII score and UPF intake. When adjusting for E-DII, the association of UPF with the INFLA-score was mitigated by 32.6% |
Silva et al., 2019 [60] | Cross-sectional | Brazil | 784 | F | 28 ± 5 | Pregnant women | E-DII score | E-DII score was positively associated with consumption of UPF when adjusting for covariates including pre-pregnancy BMI |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Tristan Asensi, M.; Napoletano, A.; Sofi, F.; Dinu, M. Low-Grade Inflammation and Ultra-Processed Foods Consumption: A Review. Nutrients 2023, 15, 1546. https://doi.org/10.3390/nu15061546
Tristan Asensi M, Napoletano A, Sofi F, Dinu M. Low-Grade Inflammation and Ultra-Processed Foods Consumption: A Review. Nutrients. 2023; 15(6):1546. https://doi.org/10.3390/nu15061546
Chicago/Turabian StyleTristan Asensi, Marta, Antonia Napoletano, Francesco Sofi, and Monica Dinu. 2023. "Low-Grade Inflammation and Ultra-Processed Foods Consumption: A Review" Nutrients 15, no. 6: 1546. https://doi.org/10.3390/nu15061546
APA StyleTristan Asensi, M., Napoletano, A., Sofi, F., & Dinu, M. (2023). Low-Grade Inflammation and Ultra-Processed Foods Consumption: A Review. Nutrients, 15(6), 1546. https://doi.org/10.3390/nu15061546