Association between nutritional profiles of foods underlying Nutri-Score front-of-pack labels and mortality: EPIC cohort study in 10 European countries

Deschasaux, Mélanie; Huybrechts, Inge; Julia, Chantal; Herçberg, Serge; Egnell, Manon; Srour, Bérnard; Kesse‐Guyot, Emmanuelle; Latino‐Martel, Paule; Biessy, Carine; Casagrande, Corinne; Murphy, Neil; Jenab, Mazda; Ward, Heather; Weiderpass, Elisabete; Overvad, Kim; Tjønneland, Anne; Rostgaard-Hansen, Agnetha Linn; Boutron‐Ruault, Marie‐Christine; Mancini, Francesca Romana; Mahamat‐Saleh, Yahya; Kühn, Tilman; Katzke, Verena; Bergmann, Manuela M.; Schulze, Matthias B.; Trichopoulou, Antonia; Karakatsani, Anna; Peppa, Eleni; Masala, Giovanna; Agnoli, Claudia; Magistris, Maria Santucci de; Tumino, Rosario; Sacerdote, Carlotta; Boer, Jolanda M. A.; Verschuren, W M Monique; Schouw, Yvonne T. van der; Skeie, Guri; Braaten, Tonje; Redondo, María Luisa; Agudo, Antonio; Petrova, Dafina; Colorado‐Yohar, Sandra; Barricarte, Aurelio; Amiano, Pilar; Sonestedt, Emily; Ericson, Ulrika; Otten, Julia; Sundström, Björn; Wareham, Nicholas J.; Forouhi, Nita G.; Víneis, Paolo; Tsilidis, Konstantinos K.; Knüppel, Anika; Papier, Keren; Ferrari, Pietro; Riboli, Elio; Gunter, Marc J.; Touvier, Mathilde

doi:10.1136/bmj.m3173

Cited by 66 publications

(83 citation statements)

References 61 publications

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“…However, the main determinant of the ora was not established, and the study involved a small sample size. Deschasaux [44] studied the gut ora of more than 2,000 individuals of different ethnicities in the same city and showed that ethnicity contributes signi cantly to individual differences in the gut microbiome, independent of metabolic health. Accordingly, studies of human ora should consider ethnicity as a contributing factor.…”

Section: Discussionmentioning

confidence: 99%

Succession of the Gut Microbiome in the Tibetan Population of the Minjiang River Basin

Sun

et al. 2021

Preprint

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Background: Tibetans are one of the oldest ethnic groups in China and South Asia. Tibetans have a unique lifestyle and a long history, which leads to the particularity of the composition and function of their gut microflora. Tibetans in the Minjiang River basin have gradually increased their migration to the Chengdu Plain in recent years. Based on the analysis of 1059 Tibetans in the Minjiang River basin at an altitude of 500-4001 m, we analyzed the characteristics of the gut microbiome and further elaborated the main factors affecting the succession of the gut microbiome in the Tibetan population.Results: Our study found that the dominant phyla of the Tibetan population were Bacteroidetes and Firmicutes, and the main genera were Prevotella and Bacteroides. To further study the factors affecting the gut microbial composition of the Tibetan population, 115 total parameters of 7 categories were evaluated. The results showed that altitude was the most important factor affecting the variation in the microbial community in the Tibetan population, and the change in altitude promoted the succession of the gut microbial community. In the process of migration from high altitudes to the plain, the gut microbial composition of late immigrants was similar to that of plateau aborigines, while that of early immigrants was similar to that of plain aborigines. Migration to Tibet is related to the loss of indigenous gut microbial community species. In addition, from low altitude to high altitude, the similarity of the microbial community with the high-altitude population increased with the reproduction of offspring after marriage. Changes in these microbials will affect the metabolism, disease incidence and cell function of the Tibetan population. The other two sets (AGP and Z208) of altitude data also showed the impact of altitude on the microbial community.Conclusions: This is the first large-scale study on the factors influencing the gut microflora in a Tibetan population. Our study confirmed that altitude change is the most important factor affecting the distribution of the microflora in the Tibetan population and provided abundant and unique data to explore the interaction of impact parameter-gut microbiome-host function and disease.

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Section: Discussionmentioning

confidence: 99%

Succession of the Gut Microbiome in the Tibetan Population of the Minjiang River Basin

Sun

et al. 2021

Preprint

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Section: Discussionmentioning

confidence: 99%

Succession of the Gut Microbiome in the Tibetan Population of Minjiang River Basin

Li¹,

Sun²,

Mo³

et al. 2020

Preprint

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Background: Tibetans are one of the oldest ethnic groups in China and South Asia. Tibetan has a unique lifestyle and a long history, which leads to the particularity of their gut microflora in composition and function. Different from the Tibetan population on the Qinghai-Tibet Plateau, Tibetans in Minjiang River Basin have gradually increased their migration to Chengdu Plain in recent years. Based on the analysis of 1059 Tibetans in the Minjiang River Basin at an altitude of 500-4001m, we found that the dominant phylum of Tibetan population is Bacteroidea and Firmicum, and the main genera are Prevotella and Bacteroides. These findings reflect the characteristics of Tibetan population. Results: In order to further study the factors affecting gut microbial composition of Tibetan population, 115 total parameters of 7 categories were evaluated. The results showed that altitude was the most important factor affecting the variation of microbial community in Tibetan population, and the change of altitude promoted the succession of gut microbial community. In the process of migration from high altitude to plain, the intestinal microbial composition of late immigrants was similar to that of plateau aborigines, while that of early immigrants was similar to that of plain aborigines. Migration to Tibet is related to the loss of indigenous gut microbial community species. In addition, from low altitude to high altitude, the similarity of microbial community with high altitude population increased with the reproduction of offspring after marriage. And the change of these flora will affect the metabolism, disease and cell function of Tibetan population. The other two sets (AGP and Z208) of altitude data also show the impact of altitude on the microbial community. Conclusions: This is the first large-scale study on the influencing factors of gut microflora in Tibetan population. Our study confirmed that altitude change is the most important factor affecting the distribution of Tibetan population flora, and provided abundant and unique data to explore the interaction of impact parameter-gut microbiome-host function and disease.

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“…In 10 European countries, mostly high income, consuming higher-scoring foods (i.e. lower quality diets) was associated with a higher mortality for all causes and for cancer and diseases of the circulatory, respiratory, and digestive systems ( 77 ). However, linking NP models with health outcomes is region or population specific and depends on the leading causes of a health burden in a given society.…”

Section: Ghana—a Case Studymentioning

confidence: 99%

Perspective: How to Develop Nutrient Profiling Models Intended for Global Use: A Manual

Drewnowski

Amanquah²,

Gavin-Smith

2021

Advances in Nutrition

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Nutrient profiling (NP) models aim to assess the nutritional quality of individual foods, according to their energy content and nutrient composition. NP models, initially created to prevent obesity in high-income countries, have tended to penalize dietary energy by giving lower ratings to foods containing excessive calories, fat, sugar, and salt. Energy-driven NP models may need to be reconceptualized for use in low- and middle-income countries (LMIC) where hunger, undernutrition, and micronutrient deficiencies continue to be issues of public health concern. Consistent with the position of the WHO that the purpose of NP methods is to address an identified public health problem, NP models intended for use in LMIC ought to address inadequate intakes of vitamin A, B vitamins, folate, calcium, iron, iodine, and zinc and the frequent lack of high-quality protein. Those models of nutrient density that feature beneficial nutrients (high-quality protein, vitamins, minerals, and trace elements) may be better suited to LMIC needs than are some current NP models that are wholly based around nutrients to limit. NP models intended for LMIC and global use will also need to take food fortification into account. The challenge for LMIC public health agencies is how to balance the future risk of excess “empty” calories against the continuing danger of inadequate nutrients and micronutrient deficiencies that persist at the population level.

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Association between nutritional profiles of foods underlying Nutri-Score front-of-pack labels and mortality: EPIC cohort study in 10 European countries

Cited by 66 publications

References 61 publications

Succession of the Gut Microbiome in the Tibetan Population of the Minjiang River Basin

Succession of the Gut Microbiome in the Tibetan Population of the Minjiang River Basin

Succession of the Gut Microbiome in the Tibetan Population of Minjiang River Basin

Perspective: How to Develop Nutrient Profiling Models Intended for Global Use: A Manual

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