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Ultra-processed foods and human health: from epidemiological evidence to mechanistic insights

Srour, Bernard, Kordahi, Melissa C, Bonazzi, Erica, Deschasaux-Tanguy, Mélanie, Touvier, Mathilde, Chassaing, Benoit·2022·The Lancet Gastroenterology & Hepatology
DOI 10.1016/s2468-1253(22)00169-8
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  1. Tomas, 2017, Industrial processing versus home processing of tomato sauce: effects on phenolics, flavonoids and in vitro bioaccessibility of antioxidants, Food Chem, 220, 51, 10.1016/j.foodchem.2016.09.201 · DOI
  2. Slimani, 2009, Contribution of highly industrially processed foods to the nutrient intakes and patterns of middle-aged populations in the European prospective investigation into cancer and nutrition study, Eur J Clin Nutr, 63, S206, 10.1038/ejcn.2009.82 · DOI
  3. Eicher-Miller, 2012, J Nutr, 142, S2065, 10.3945/jn.112.164442 · DOI
  4. Monteiro, 2016, NOVA. The star shines bright, World Nutrition, 7, 28
  5. Asfaw, 2011, Does consumption of processed foods explain disparities in the body weight of individuals? The case of Guatemala, Health Econ, 20, 184, 10.1002/hec.1579 · DOI
  6. Poti, 2015, Is the degree of food processing and convenience linked with the nutritional quality of foods purchased by US households?, Am J Clin Nutr, 101, 1251, 10.3945/ajcn.114.100925 · DOI · Paper page
  7. Monteiro, 2009, Nutrition and health. The issue is not food, nor nutrients, so much as processing, Public Health Nutr, 12, 729, 10.1017/S1368980009005291 · DOI
  8. Wang, 2021, Trends in consumption of ultraprocessed foods among US youths aged 2–19 years, 1999–2018, JAMA, 326, 519, 10.1001/jama.2021.10238 · DOI
  9. Moubarac, 2014, Processed and ultra-processed food products: consumption trends in Canada from 1938 to 2011, Can J Diet Pract Res, 75, 15, 10.3148/75.1.2014.15 · DOI · Paper page
  10. Baker, 2016, Food systems transformations, ultra-processed food markets and the nutrition transition in Asia, Global Health, 12, 80, 10.1186/s12992-016-0223-3 · DOI
  11. Calixto Andrade, 2021, Consumption of ultra-processed food and its association with sociodemographic characteristics and diet quality in a representative sample of french adults, Nutrients, 13, 682, 10.3390/nu13020682 · DOI
  12. Martinez, 2016, Ultra-processed foods and added sugars in the US diet: evidence from a nationally representative cross-sectional study, BMJ Open, 6
  13. Roberts, 2013, Hypothesis: increased consumption of emulsifiers as an explanation for the rising incidence of Crohn's disease, J Crohn's Colitis, 7, 338, 10.1016/j.crohns.2013.01.004 · DOI
  14. Sandoval-Insausti, 2020, Ultra-processed food consumption is associated with abdominal obesity: a prospective cohort study in older adults, Nutrients, 12, 10.3390/nu12082368 · DOI
  15. Bonaccio, 2022, Ultra-processed food intake and all-cause and cause-specific mortality in individuals with cardiovascular disease: the Moli-sani Study, Eur Heart J, 43, 213, 10.1093/eurheartj/ehab783 · DOI
  16. Bonaccio, 2021, Ultra-processed food consumption is associated with increased risk of all-cause and cardiovascular mortality in the Moli-sani Study, Am J Clin Nutr, 113, 446, 10.1093/ajcn/nqaa299 · DOI · Paper page
  17. Kim, 2019, Ultra-processed food intake and mortality in the USA: results from the Third National Health and Nutrition Examination Survey (NHANES III, 1988-1994), Public Health Nutr, 22, 1777, 10.1017/S1368980018003890 · DOI
  18. Rico-Campà, 2019, Association between consumption of ultra-processed foods and all cause mortality: SUN prospective cohort study, BMJ, 365
  19. Romero Ferreiro, 2021, Ultra-processed food intake and all-cause mortality: DRECE cohort study, Public Health Nutr
  20. Blanco-Rojo, 2019, Consumption of ultra-processed foods and mortality: a national prospective cohort in Spain, Mayo Clin Proc, 94, 2178, 10.1016/j.mayocp.2019.03.035 · DOI
  21. Melo, 2018, Associations of ultra-processed food and drink products with asthma and wheezing among Brazilian adolescents, Pediatr Allergy Immunol, 29, 504, 10.1111/pai.12911 · DOI
  22. Machado Azeredo, 2020, Ultra-processed food consumption during childhood and asthma in adolescence: data from the 2004 Pelotas birth cohort study, Pediatr Allergy Immunol, 31, 27, 10.1111/pai.13126 · DOI
  23. Srour, 2019, Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Santé), BMJ, 365
  24. Zhong, 2021, Association of ultra-processed food consumption with cardiovascular mortality in the US population: long-term results from a large prospective multicenter study, Int J Behav Nutr Phys Act, 18, 21, 10.1186/s12966-021-01081-3 · DOI
  25. Du, 2021, Higher ultra-processed food consumption is associated with increased risk of incident coronary artery disease in the atherosclerosis risk in communities study, J Nutr, 151, 3746, 10.1093/jn/nxab285 · DOI
  26. Lo, 2021, Ultra-processed foods and risk of Crohn's disease and ulcerative colitis: a prospective cohort study, Clin Gastroenterol Hepatol, 20, e1323, 10.1016/j.cgh.2021.08.031 · DOI
  27. Gómez-Donoso, 2019, Ultra-processed food consumption and the incidence of depression in a Mediterranean cohort: the SUN Project, Eur J Nutr, 59, 1093, 10.1007/s00394-019-01970-1 · DOI
  28. Donat-Vargas, 2021, High consumption of ultra-processed food is associated with incident dyslipidemia: a prospective study of older adults, J Nutr, 151, 2390, 10.1093/jn/nxab118 · DOI
  29. Costa, 2021, Role of ultra-processed food in fat mass index between 6 and 11 years of age: a cohort study, Int J Epidemiol, 50, 256, 10.1093/ije/dyaa141 · DOI
  30. Sandoval-Insausti, 2020, Ultra-processed food consumption and incident frailty: a prospective cohort study of older adults, J Gerontol A Biol Sci Med Sci, 75, 1126, 10.1093/gerona/glz140 · DOI · Paper page
  31. Zhang, 2022, Ultra-processed food intake is associated with grip strength decline in middle-aged and older adults: a prospective analysis of the TCLSIH study, Eur J Nutr, 61, 1331, 10.1007/s00394-021-02737-3 · DOI
  32. Leone, 2021, Pre-gestational consumption of ultra-processed foods and risk of gestational diabetes in a Mediterranean cohort. The SUN project, Nutrients, 13, 10.3390/nu13072202 · DOI
  33. Gomes, 2021, Consumption of ultra-processed foods in the third gestational trimester and increased weight gain: a Brazilian cohort study, Public Health Nutr, 24, 3304, 10.1017/S1368980020001883 · DOI
  34. Scaranni, 2021, Ultra-processed foods, changes in blood pressure and incidence of hypertension: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), Public Health Nutr, 24, 3352, 10.1017/S136898002100094X · DOI
  35. Mendonça, 2017, Ultra-processed food consumption and the incidence of hypertension in a Mediterranean cohort: the Seguimiento Universidad de Navarra Project, Am J Hypertens, 30, 358, 10.1093/ajh/hpw137 · DOI · Paper page
  36. Rezende-Alves, 2021, Food processing and risk of hypertension: cohort of Universities of Minas Gerais, Brazil (CUME Project), Public Health Nutr, 24, 4071, 10.1017/S1368980020002074 · DOI
  37. Monge, 2021, Ultraprocessed beverages and processed meats increase the incidence of hypertension in Mexican women, Br J Nutr, 126, 600, 10.1017/S0007114520004432 · DOI
  38. Vasseur, 2021, Dietary patterns, ultra-processed food, and the risk of inflammatory bowel diseases in the NutriNet-Santé cohort, Inflamm Bowel Dis, 27, 65, 10.1093/ibd/izaa018 · DOI
  39. Narula, 2021, Association of ultra-processed food intake with risk of inflammatory bowel disease: prospective cohort study, BMJ, 374
  40. Leffa, 2020, Longitudinal associations between ultra-processed foods and blood lipids in childhood, Br J Nutr, 124, 341, 10.1017/S0007114520001233 · DOI
  41. Rauber, 2015, Consumption of ultra-processed food products and its effects on children's lipid profiles: a longitudinal study, Nutr Metab Cardiovasc Dis, 25, 116, 10.1016/j.numecd.2014.08.001 · DOI
  42. Rauber, 2021, Ultra-processed food consumption and risk of obesity: a prospective cohort study of UK Biobank, Eur J Nutr, 60, 2169, 10.1007/s00394-020-02367-1 · DOI
  43. de Melo, 2021, Early onset of overweight among children from low-income families: the role of exclusive breastfeeding and maternal intake of ultra-processed food, Pediatr Obes, 16, 10.1111/ijpo.12825 · DOI
  44. Li, 2021, Ultra-processed food consumption associated with overweight/obesity among Chinese adults-results from China health and nutrition survey 1997–2011, Nutrients, 13, 10.3390/nu13082796 · DOI
  45. Canhada, 2020, Ultra-processed foods, incident overweight and obesity, and longitudinal changes in weight and waist circumference: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), Public Health Nutr, 23, 1076, 10.1017/S1368980019002854 · DOI
  46. Beslay, 2020, Ultra-processed food intake in association with BMI change and risk of overweight and obesity: a prospective analysis of the French NutriNet-Santé cohort, PLoS Med, 17, 10.1371/journal.pmed.1003256 · DOI
  47. Mendonça, 2016, Ultraprocessed food consumption and risk of overweight and obesity: the University of Navarra follow-up (SUN) cohort study, Am J Clin Nutr, 104, 1433, 10.3945/ajcn.116.135004 · DOI · Paper page
  48. Cordova, 2021, Consumption of ultra-processed foods associated with weight gain and obesity in adults: a multi-national cohort study, Clin Nutr, 40, 5079, 10.1016/j.clnu.2021.08.009 · DOI
  49. Rey-García, 2021, Ultra-processed food consumption is associated with renal function decline in older adults: a prospective cohort study, Nutrients, 13, 428, 10.3390/nu13020428 · DOI
  50. Llavero-Valero, 2021, Ultra-processed foods and type-2 diabetes risk in the SUN project: a prospective cohort study, Clin Nutr, 40, 2817, 10.1016/j.clnu.2021.03.039 · DOI
  51. Levy, 2020, Ultra-processed food consumption and type 2 diabetes incidence: a prospective cohort study, Clin Nutr, 40, 3608, 10.1016/j.clnu.2020.12.018 · DOI
  52. Duan, 2022, Ultra-processed food and incident type 2 diabetes: studying the underlying consumption patterns to unravel the health effects of this heterogeneous food category in the prospective Lifelines cohort, BMC Med, 20, 7, 10.1186/s12916-021-02200-4 · DOI · Paper page
  53. Konieczna, 2021, Contribution of ultra-processed foods in visceral fat deposition and other adiposity indicators: prospective analysis nested in the PREDIMED-Plus trial, Clin Nutr, 40, 4290, 10.1016/j.clnu.2021.01.019 · DOI
  54. Costa, 2019, Ultra-processed food consumption and its effects on anthropometric and glucose profile: a longitudinal study during childhood, Nutr Metab Cardiovasc Dis, 29, 177, 10.1016/j.numecd.2018.11.003 · DOI
  55. Chang, 2021, Association between childhood consumption of ultraprocessed food and adiposity trajectories in the avon longitudinal study of parents and children birth cohort, JAMA Pediatr, 175, 10.1001/jamapediatrics.2021.1573 · DOI
  56. Hercberg, 2010, The Nutrinet-Santé Study: a web-based prospective study on the relationship between nutrition and health and determinants of dietary patterns and nutritional status, BMC Public Health, 10, 242, 10.1186/1471-2458-10-242 · DOI
  57. Martínez-González, 2006, The SUN cohort study (Seguimiento University of Navarra), Public Health Nutr, 9, 127, 10.1079/PHN2005935 · DOI
  58. Lane, 2021, Ultraprocessed food and chronic noncommunicable diseases: a systematic review and meta-analysis of 43 observational studies, Obes Rev, 22, 10.1111/obr.13146 · DOI · Paper page
  59. Pagliai, 2021, Consumption of ultra-processed foods and health status: a systematic review and meta-analysis, Br J Nutr, 125, 308, 10.1017/S0007114520002688 · DOI · Paper page
  60. Askari, 2020, Ultra-processed food and the risk of overweight and obesity: a systematic review and meta-analysis of observational studies, Int J Obes (Lond), 44, 2080, 10.1038/s41366-020-00650-z · DOI
  61. Moradi, 2021, Ultra-processed food consumption and adult obesity risk: a systematic review and dose-response meta-analysis, Crit Rev Food Sci Nutr
  62. Suksatan, 2021, Ultra-processed food consumption and adult mortality risk: a systematic review and dose-response meta-analysis of 207,291 participants, Nutrients, 14, 174, 10.3390/nu14010174 · DOI · Paper page
  63. Delpino, 2021, Ultra-processed food and risk of type 2 diabetes: a systematic review and meta-analysis of longitudinal studies, Int J Epidemiol
  64. Mendonca, 2017, Ultra-processed food consumption and the incidence of hypertension in a Mediterranean cohort: the Seguimiento Universidad de Navarra Project, Am J Hypertens, 30, 358, 10.1093/ajh/hpw137 · DOI · Paper page
  65. Schwingshackl, 2017, Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies, Eur J Epidemiol, 32, 363, 10.1007/s10654-017-0246-y · DOI · Paper page
  66. Naghshi, 2021, Dietary intake and biomarkers of alpha linolenic acid and risk of all cause, cardiovascular, and cancer mortality: systematic review and dose-response meta-analysis of cohort studies, BMJ, 375
  67. Afshin, 2019, Health effects of dietary risks in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017, Lancet, 393, 1958, 10.1016/S0140-6736(19)30041-8 · DOI · Paper page
  68. Kliemann, 2022, Ultra-processed foods and cancer risk: from global food systems to individual exposures and mechanisms, Br J Cancer, 10.1038/s41416-022-01749-y · DOI
  69. Zhang, 2022, Ultra-processed food intake is associated with grip strength decline in middle-aged and older adults: a prospective analysis of the TCLSIH study, Eur J Nutr, 61, 1331, 10.1007/s00394-021-02737-3 · DOI
  70. Hall, 2019, Ultra-processed diets cause excess calorie intake and weight gain: an inpatient randomized controlled trial of ad libitum food intake, Cell Metab, 30, 226, 10.1016/j.cmet.2019.05.020 · DOI
  71. Luiten, 2016, Ultra-processed foods have the worst nutrient profile, yet they are the most available packaged products in a sample of New Zealand supermarkets, Public Health Nutr, 19, 539, 10.1017/S1368980015002840 · DOI
  72. Adams, 2015, Characterisation of UK diets according to degree of food processing and associations with socio-demographics and obesity: cross-sectional analysis of UK National Diet and Nutrition Survey (2008–12), Int J Behav Nutr Phys Act, 12, 160, 10.1186/s12966-015-0317-y · DOI
  73. Cediel, 2017, Ultra-processed foods and added sugars in the Chilean diet (2010), Public Health Nutr, 21, 125, 10.1017/S1368980017001161 · DOI
  74. Costa Louzada, 2015, Ultra-processed foods and the nutritional dietary profile in Brazil, Rev Saude Publica, 49, 38
  75. Moubarac, 2013, Consumption of ultra-processed foods and likely impact on human health. Evidence from Canada, Public Health Nutr, 16, 2240, 10.1017/S1368980012005009 · DOI
  76. Moubarac, 2017, Consumption of ultra-processed foods predicts diet quality in Canada, Appetite, 108, 512, 10.1016/j.appet.2016.11.006 · DOI
  77. Louzada, 2015, Impact of ultra-processed foods on micronutrient content in the Brazilian diet, Rev Saude Public, 49, 45
  78. Romero Ferreiro, 2021, Two dimensions of nutritional value: nutri-score and NOVA, Nutrients, 13, 10.3390/nu13082783 · DOI
  79. Zhang, 2018, Exposure to acrylamide and the risk of cardiovascular diseases in the National Health and Nutrition Examination Survey 2003–2006, Environ Int, 117, 154, 10.1016/j.envint.2018.04.047 · DOI
  80. Mozaffarian, 2006, Trans fatty acids and cardiovascular disease, N Engl J Med, 354, 1601, 10.1056/NEJMra054035 · DOI · Paper page
  81. 2015, Scientific opinion on acrylamide in food, EFSA J, 13
  82. Martínez Steele, 2020, 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, 15, 10.1371/journal.pone.0236738 · DOI · Paper page
  83. Buckley, 2019, Ultra-processed food consumption and exposure to phthalates and bisphenols in the US National Health and Nutrition Examination Survey, 2013–2014, Environ Int, 131, 10.1016/j.envint.2019.105057 · DOI · Paper page
  84. Virk-Baker, 2014, Dietary acrylamide and human cancer: a systematic review of literature, Nutr Cancer, 66, 774, 10.1080/01635581.2014.916323 · DOI
  85. DeJarnett, 2014, Acrolein exposure is associated with increased cardiovascular disease risk, J Am Heart Assoc, 3, 10.1161/JAHA.114.000934 · DOI
  86. Feroe, 2016, Acrolein metabolites, diabetes and insulin resistance, Environ Res, 148, 1, 10.1016/j.envres.2016.03.015 · DOI · Paper page
  87. Rancière, 2015, Bisphenol A and the risk of cardiometabolic disorders: a systematic review with meta-analysis of the epidemiological evidence, Environ Health, 14, 46, 10.1186/s12940-015-0036-5 · DOI
  88. Hwang, 2018, Bisphenol A exposure and type 2 diabetes mellitus risk: a meta-analysis, BMC Endocr Disord, 18, 81, 10.1186/s12902-018-0310-y · DOI
  89. Carwile, 2011, Urinary bisphenol A and obesity: NHANES 2003-2006, Environ Res, 111, 825, 10.1016/j.envres.2011.05.014 · DOI
  90. Lim, 2009, Potential risk of bisphenol A migration from polycarbonate containers after heating, boiling, and microwaving, J Toxicol Environ Health A, 72, 1285, 10.1080/15287390903212329 · DOI
  91. Michalak, 2020, Effect of microwave heating on the acrylamide formation in foods, Molecules, 25, 10.3390/molecules25184140 · DOI
  92. Dupont, 2018, Structuring food to control its disintegration in the gastrointestinal tract and optimize nutrient bioavailability, Innov Food Sci Emerg Technol, 46, 83, 10.1016/j.ifset.2017.10.005 · DOI
  93. Wahlqvist, 2016, Food structure is critical for optimal health, Food Funct, 7, 1245, 10.1039/C5FO01285F · DOI
  94. Forde, 2020, Ultra-processing or oral processing? A role for energy density and eating rate in moderating energy intake from processed foods, Curr Dev Nutr, 4, 10.1093/cdn/nzaa019 · DOI · Paper page
  95. Bancil, 2021, Food additive emulsifiers and their impact on gut microbiome, permeability, and inflammation: mechanistic insights in inflammatory bowel disease, J Crohns Colitis, 15, 1068, 10.1093/ecco-jcc/jjaa254 · DOI
  96. Cox, 2021, Food additive emulsifiers: a review of their role in foods, legislation and classifications, presence in food supply, dietary exposure, and safety assessment, Nutr Rev, 79, 726, 10.1093/nutrit/nuaa038 · DOI
  97. Chazelas, 2021, Exposure to food additive mixtures in 106,000 French adults from the NutriNet-Santé cohort, Sci Rep, 11, 10.1038/s41598-021-98496-6 · DOI
  98. Elizabeth, 2020, Ultra-processed foods and health outcomes: a narrative review, Nutrients, 12, 10.3390/nu12071955 · DOI
  99. Ravel, 2014, Human microbiome science: vision for the future, Bethesda, MD, July 24 to 26, 2013, Microbiome, 2, 16, 10.1186/2049-2618-2-16 · DOI
  100. Moran, 2019, Evolutionary and ecological consequences of gut microbial communities, Annu Rev Ecol Evol Syst, 50, 451, 10.1146/annurev-ecolsys-110617-062453 · DOI
  101. Turnbaugh, 2008, Diet-induced obesity is linked to marked but reversible alterations in the mouse distal gut microbiome, Cell Host Microbe, 3, 213, 10.1016/j.chom.2008.02.015 · DOI · Paper page
  102. Scheithauer, 2020, Gut microbiota as a trigger for metabolic inflammation in obesity and type 2 diabetes, Front Immunol, 11, 10.3389/fimmu.2020.571731 · DOI
  103. Ghosh, 2020, Intestinal barrier dysfunction, LPS translocation, and disease development, J Endocr Soc, 4, 10.1210/jendso/bvz039 · DOI
  104. Lassenius, 2011, Bacterial endotoxin activity in human serum is associated with dyslipidemia, insulin resistance, obesity, and chronic inflammation, Diabetes Care, 34, 1809, 10.2337/dc10-2197 · DOI
  105. Cani, 2007, Metabolic endotoxemia initiates obesity and insulin resistance, Diabetes, 56, 1761, 10.2337/db06-1491 · DOI · Paper page
  106. Harte, 2012, High fat intake leads to acute postprandial exposure to circulating endotoxin in type 2 diabetic subjects, Diabetes Care, 35, 375, 10.2337/dc11-1593 · DOI
  107. Hotamışlıgil, 1993, Adipose expression of tumor necrosis factor-alpha: direct role in obesity-linked insulin resistance, Science, 259, 87, 10.1126/science.7678183 · DOI · Paper page
  108. Penttinen, 2016, High nutrient concentration can induce virulence factor expression and cause higher virulence in an environmentally transmitted pathogen, Microb Ecol, 72, 955, 10.1007/s00248-016-0781-1 · DOI
  109. Zinöcker, 2018, The western diet-microbiome-host interaction and its role in metabolic disease, Nutrients, 10, 365, 10.3390/nu10030365 · DOI · Paper page
  110. Viennois, 2020, Dietary emulsifiers directly impact adherent-invasive E. coli gene expression to drive chronic intestinal inflammation, Cell Rep, 33, 10.1016/j.celrep.2020.108229 · DOI
  111. Collins, 2018, Dietary trehalose enhances virulence of epidemic Clostridium difficile, Nature, 553, 291, 10.1038/nature25178 · DOI
  112. Nakkarach, 2021, Anti-cancer and anti-inflammatory effects elicited by short chain fatty acids produced by Escherichia coli isolated from healthy human gut microbiota, Microb Cell Fact, 20, 36, 10.1186/s12934-020-01477-z · DOI
  113. García-Montero, 2021, Nutritional components in western diet versus Mediterranean diet at the gut microbiota-immune system interplay. Implications for health and disease, Nutrients, 13, 699, 10.3390/nu13020699 · DOI
  114. Arnone, 2021, Long-term overconsumption of fat and sugar causes a partially reversible pre-inflammatory bowel disease state, Front Nutr, 8, 10.3389/fnut.2021.758518 · DOI
  115. Montrose, 2021, Dietary fructose alters the composition, localization, and metabolism of gut microbiota in association with worsening colitis, Cell Mol Gastroenterol Hepatol, 11, 525, 10.1016/j.jcmgh.2020.09.008 · DOI
  116. Krautkramer, 2016, Diet-microbiota interactions mediate global epigenetic programming in multiple host tissues, Mol Cell, 64, 982, 10.1016/j.molcel.2016.10.025 · DOI · Paper page
  117. Palmnäs, 2014, Low-dose aspartame consumption differentially affects gut microbiota-host metabolic interactions in the diet-induced obese rat, PLoS One, 9, 10.1371/journal.pone.0109841 · DOI
  118. He, 2021, Food colorants metabolized by commensal bacteria promote colitis in mice with dysregulated expression of interleukin-23, Cell Metab, 33, 1358, 10.1016/j.cmet.2021.04.015 · DOI
  119. Chassaing, 2021, Randomized controlled-feeding study of dietary emulsifier carboxymethylcellulose reveals detrimental impacts on the gut microbiota and metabolome, Gastroenterology, 162, 743, 10.1053/j.gastro.2021.11.006 · DOI · Paper page
  120. Bi, 2018, Antimicrobial efficacy and life cycle impact of silver-containing food containers, ACS Sustain Chem Eng, 6, 13086, 10.1021/acssuschemeng.8b02639 · DOI
  121. Rogers, 2012, Alterations in physical state of silver nanoparticles exposed to synthetic human stomach fluid, Sci Total Environ, 420, 334, 10.1016/j.scitotenv.2012.01.044 · DOI
  122. Reed, 2014, Characterization of nanomaterials in metal colloid-containing dietary supplement drinks and assessment of their potential interactions after ingestion, ACS Sustain Chem Eng, 2, 1616, 10.1021/sc500108m · DOI
  123. Pinget, 2019, Impact of the food additive titanium dioxide (E171) on gut microbiota-host interaction, Front Nutr, 6, 57, 10.3389/fnut.2019.00057 · DOI
  124. Gatti, 2004, Biocompatibility of micro- and nano-particles in the colon. Part II, Biomaterials, 25, 385, 10.1016/S0142-9612(03)00537-4 · DOI
  125. Lamas, 2020, Impacts of foodborne inorganic nanoparticles on the gut microbiota-immune axis: potential consequences for host health, Part Fibre Toxicol, 17, 19, 10.1186/s12989-020-00349-z · DOI
  126. Bettini, 2017, Food-grade TiO2 impairs intestinal and systemic immune homeostasis, initiates preneoplastic lesions and promotes aberrant crypt development in the rat colon, Sci Rep, 7, 10.1038/srep40373 · DOI

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Metadata

Authors
Srour, B., Kordahi, M. C., Bonazzi, E., Deschasaux-Tanguy, M., Touvier, M., & Chassaing, B.
Venue
The Lancet Gastroenterology & Hepatology
Publisher
Elsevier BV
Published
2022-12
Volume
7
Issue
12
Pages
1128-1140
ISSN
2468-1253
DOI
10.1016/s2468-1253(22)00169-8
Cited by
303
References
26
Language
en
Licence
Funders
  • Ministère des Affaires Sociales et de la Santé
  • Kenneth Rainin Foundation
  • Institut National Du Cancer (INCa_14059)
  • European Research Council (864219, ERC-2018-StG- 804135)
  • Universite de Paris (ANR-18-IDEX-0001)
  • Agence nationale de la recherche (ANR-21-CE15-0042-01)
  • Institut National de la Santé et de la Recherche Médicale
  • Fondation pour la Recherche Médicale (SPF202.110.013914)
  • Glenn Foundation for Medical Research

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