Characterizing Meat- and Milk/Dairy-like Vegetarian Foods and Their Counterparts Based on Nutrient Profiling and Food Labels

Application of Nordic Keyhole and Nutri-Score for assessment of nutritional quality of plant-based dairy analogues

BACKGROUND

Public interest in plant-based dairy analogues is increasing; thus, their assessment by front-of-pack nutrition labelling schemes such as Keyhole and Nutri-Score can facilitate the identification of products with optimal nutritional quality. In this study, Keyhole and the latest version of Nutri-Score criteria were applied to plant-based dairy analogues (i.e., milk, yoghurt, cheese, cream, fat spread, and ice cream analogues) in the Swedish market to evaluate their nutritional quality.

METHODS

Nutritional data for 222 plant-based dairy analogues were collected from food manufacturers' websites, and the eligibility of these analogues for Keyhole and Nutri-Score (A to E) were assessed. Products eligible for Keyhole and Nutri-Score A or B were deemed to have optimal nutritional quality.

RESULTS

16% of plant-based milk analogues (from oat-, almond-, rice-, and potato-based products), 2% of plant-based yoghurt analogues and 37% of plant-based fat spread analogues were eligible for Keyhole. The plant-based cheese, cream and ice cream analogues were ineligible for Keyhole. None of the plant-based milk analogues qualified for Nutri-Score A, and 45% (mainly soy-, almond-, coconut-, pea- and mixed-based products) qualified for Nutri-Score B. 68% of plant-based yoghurt analogues (from oat-, soy-, almond- and mixed-based products) qualified for Nutri-Score A or B. The plant-based cheese, fat spread and ice cream analogues were ineligible for Nutri-Score A or B and 32% of plant-based cream analogues qualified for Nutri-Score B. A higher percentage of organic milk analogues and a lower percentage of organic yoghurt analogues were eligible for Keyhole and Nutri-Score A or B compared to their non-organic varieties. Keyhole and Nutri-Score had an agreement on classifying two plant-based dairy analogues as optimal nutritional quality products and 133 plant-based dairy analogues as suboptimal.

CONCLUSIONS

There is variability in the eligibility of plant-based dairy analogues for Keyhole and Nutri-Score labelling. Eligibility for Keyhole was highest among plant-based fat spread analogues, while Nutri-Score A and B ratings were more common for plant-based yoghurt analogues. Plant-based cheese and ice cream analogues were ineligible for Keyhole and Nutri-Score A or B. Since the micronutrient content of organic and non-organic plant-based dairy analogues did not affect their evaluation by Keyhole and Nutri-Score, this limitation warrants further consideration.

Recommendations to address the shortfalls of the EAT-Lancet planetary health diet from a plant-forward perspective

Shifting to dietary patterns rich in plants and low in animal-source foods could substantially lower emissions from the food sector while reducing the global burden of non-communicable diseases. The EAT-Lancet Commission proposed the planetary health diet (PHD) to emphasise plant-forward diets and set global targets to guide an urgently needed food-system transformation. However, the PHD's meat-reduction approach has attracted criticism and prompted debate on the potential micronutrient shortfalls of the plant-forward dietary approach. Since the planet simply cannot sustain human diets defaulting towards animal-based solutions, the objective of this Viewpoint is to provide recommendations that address the shortfalls of the PHD, with an emphasis on plant-based sourcing of food. Using a socioecological approach, along with an Integrative Sustainability Framework to evaluate dietary guidelines, in this Viewpoint we recommend seven key thematic areas for further development of the PHD. These themes relate to the bioavailability of micronutrients from plant-based foods, the inclusion of indigenous foods and practices, fortification and supplementation, cultural inclusiveness, and gender-based differences, a broader perspective on processed foods, and strengthening the concept by integrating the One Health approach.

Dairy milk: There are alternatives but no equivalents

Dairy milk is a core food in many food-based guides to healthy eating. However, plant-based milk alternatives are becoming increasingly available as substitutes. While these products serve a subset of the population unable or unwilling to consume milk, plant-based milk alternatives can be perceived by consumers as direct equivalents, or even more healthful alternatives to dairy milk. This commentary addresses the significant differences in nutrient content that may have implications for the intake of key nutrients in the case of direct substitutions. Furthermore, while there is a significant body of knowledge demonstrating the significant health benefits associated with dairy milk consumption and a small number of potentially negative associations, there is a paucity of data on the health benefits of plant-based milk alternatives directly. A "health halo" may exist based on matching individual nutrients through fortification, lower energy levels, and the health properties of the unprocessed raw characterizing ingredients of plant-based milk alternatives. This may mislead consumers regarding healthfulness. Similarly, environmental attributes based on volumes of production, without considering contribution to nutrients, may also skew consumer perception. Positioning of plant-based milk alternatives in food-based dietary guidelines, marketing, and personal recommendations should acknowledge the differences in nutritional, bioactive, and health properties between plant-based milk alternatives and dairy milk to ensure appropriate adaptations are made to account for shortfalls in nutrients.

Animal vs Plant-Based Meat: A Hearty Debate

Plant-based meat alternatives (PBMAs) are highly processed food products that typically replace meat in the diet. In Canada, the growing demand for PBMAs coincides with public health recommendations to reduce ultra-processed food consumption, which prompts the need to investigate the long-term health implications of PBMAs. This review assesses the available literature on PBMAs and cardiovascular disease (CVD), including an evaluation of their nutritional profile and impact on CVD risk factors. Overall, the nutritional profiles of PBMAs vary considerably but generally align with recommendations for improving cardiovascular health; compared with meat, PBMAs are usually lower in saturated fat and higher in polyunsaturated fat and dietary fibre. Some dietary trials that have replaced meat with PBMAs have reported improvements in CVD risk factors, including total cholesterol, low-density lipoprotein cholesterol, apolipoprotein B-100, and body weight. No currently available evidence suggests that the concerning aspects of PMBAs (eg, food processing and high sodium content) negate the potential cardiovascular benefits. We conclude that replacing meat with PBMAs may be cardioprotective; however, long-term randomised controlled trials and prospective cohort studies that evaluate CVD events (eg, myocardial infarction, stroke) are essential to draw more definitive conclusions.

Nutrition classification schemes for plant-based meat analogues: Drivers to assess nutritional quality and identity profile

Changes in dietary patterns promoted by the emergence of alternative food systems are becoming increasingly common. The decrease in the consumption of animal-derived products promoted exponential growth in plant-based product demand and, consequently, the availability of several meat analogues for this consumer market. Plant-based meat analogues (PBMAs) were developed to mimic the physical and sensory characteristics of meats and their derivatives. Therefore, the composition of these products has been studied in some countries as an attempt to evaluate their nutritional quality in comparison with that of traditional meat products. The main aim of this study was to employ different Nutrition Classification Schemes (NCSs) to assess the nutritional quality of plant-based meat and to discuss the application of one or more NCSs in defining the identity and quality profile of these foods. Five NCSs were used: three nutrient-based (Nutri-Score; Nutrient Profiling Model (NPM) from Brazil; NPM from PAHO); one food-based (NOVA classification); and one hybrid (Plant-Based Nutrient Profile Model). The nutritional composition and ingredients were collected from labels of 349 PBMAs; 117 were classified as burgers, and 182 products employed soy as the main protein ingredient. The use of different NCSs is strategic for PBMAs' nutritional quality evaluation, and the Nutri-Score was able to show the effectiveness of differentiating products as having poor nutritional quality. In this way, the employment of NPM from Brazil is recommended as a driver for PBMAs choices, especially due to the excellent agreement between the Nutri-Score and NPM from Brazil for burgers.

Ultra-Processed Foods: A Narrative Review of the Impact on the Human Gut Microbiome and Variations in Classification Methods

Ultra-processed foods (UPFs) are foods that are industrially processed and are often pre-packaged, convenient, energy-dense, and nutrient-poor. UPFs are widespread in the current Western diet and their proposed contribution to non-communicable diseases such as obesity and cardiovascular disease is supported by numerous studies. UPFs are hypothesized to affect the body in multiple ways, including by inducing changes in the gut microbiome. This review summarizes the available research on the effect of UPFs on the gut microbiome. We also review current usage of the NOVA food classification system in randomized controlled trials and observational studies and how its implementation effects UPF research. Despite some differences in methodology between studies, results often associate UPF consumption with a number of negative health consequences. There are attempts to standardize a UPF classification system; however, reaching and implementing a consensus is difficult. Future studies focusing on the mechanisms by which UPFs effect the body, including through the microbiome and metabolome, will be essential to refine our understanding of the effects of UPFs on human health.

MicroRNA-2285f regulates milk fat metabolism by targeting MAP2K2 in bovine mammary epithelial cells

In this study, Holstein dairy cows raised in Ningxia were selected as the research object. Mammary epithelial cells (BMECs) were extracted from the milk of eight Holstein cows with significantly different milk fat expression rates and transcribed for sequencing. Bioinformatics analysis was used to analyse the correlation of fat milk percentage, and the critical miR-2285f regulating milk fat was screened out. The target gene binding sites were predicted, and 293T cells and mammary epithelial cells were used as miRNA and target gene models for functional verification in vitro. The tissue difference of miR-2285f Holstein cows was quantitatively analysed by transfecting miR-2285f mimic and inhibitor. Assay (dual luciferase reporter gene assay) and quantitative real-time PCR (quantitative real-time PCR, qRT-PCR), triglyceride (TAG) detection, oil red O detection of lipid droplets, Western Blot assay, Edu and Flow cytometry, The molecular regulatory effects of miR-2285f and target gene MAP2K2 on milk fat metabolism of Holstein dairy cows were studied. The wild-type vector and mutant vector of map2k2-3'utr were constructed, and double luciferase reporting experiments were conducted to verify that MAP2K2 was one of the target genes of miR-2285f. According to qRT-PCR and Western Blot analysis, miR-2285f mainly regulates the expression of MAP2K2 protein in BMECs at the translation level. Bta-miR-2285f can promote cell proliferation and slow cell apoptosis by regulating MAP2K2. Bta-miR-2285f can promote triglyceride (TAG) and lipid droplet accumulation in mammary epithelial cells by targeting MAP2K2. Bta-miR-2285f can regulate protein levels of fat milk marker gene PPARG by targeting MAP2K2. In conclusion, miR-2285f can target the expression of the MAP2K2 gene, promote the proliferation of dairy mammary epithelial cells, inhibit cell apoptosis and regulate the milk fat metabolism in dairy mammary epithelial cells. The results of this study revealed the function of miR-2285f in regulating the differential expression of fat milk in Holstein dairy cows at the cellular level. They provided a theoretical and experimental basis for analysing the regulation network of milk fat synthesis of Holstein dairy cows and the molecular breeding of dairy cows.

Complementarity between the updated version of the front-of-pack nutrition label Nutri-Score and the food-processing NOVA classification

OBJECTIVE

To compare the initial and the updated versions of the front-of-pack label Nutri-Score (related to the nutritional content) with the NOVA classification (related to the degree of food processing) at the food level.

DESIGN

Using the OpenFoodFacts database - 129,950 food products - we assessed the complementarity between the Nutri-Score (initial and updated) with the NOVA classification through a correspondence analysis. Contingency tables between the two classification systems were used.

SETTINGS

The food offer in France.

PARTICIPANTS

Not applicable.

RESULTS

With both versions (i.e. initial and updated) of the Nutri-Score, the majority of ultra-processed products received medium to poor Nutri-Score ratings (between 77·9 % and 87·5 % of ultra-processed products depending on the version of the algorithm). Overall, the update of the Nutri-Score algorithm led to a reduction in the number of products rated A and B and an increase in the number of products rated D or E for all NOVA categories, with unprocessed foods being the least impacted (-3·8 percentage points (-5·2 %) rated A or B and +1·3 percentage points (+12·9 %) rated D or E) and ultra-processed foods the most impacted (-9·8 percentage points (-43·4 %) rated A or B and +7·8 percentage points (+14·1 %) rated D or E). Among ultra-processed foods rated favourably with the initial Nutri-Score, artificially sweetened beverages, sweetened plant-based drinks and bread products were the most penalised categories by the revision of Nutri-Score while low-sugar flavoured waters, fruit and legume preparations were the least affected.

CONCLUSION

These results indicate that the update of the Nutri-Score reinforces its coherence with the NOVA classification, even though both systems measure two distinct health dimensions at the food level.

Ultra-processing markers are more prevalent in plant-based meat products as compared to their meat-based counterparts in a German food market analysis

OBJECTIVE

To compare ultra-processing markers and nutrient composition in plant-based meat products (PBMP) with equivalent meat-based products (MBP).

DESIGN

A total of 282 PBMP and 149 MBP within 18 product categories were assessed. Based on the NOVA classification, 33 ultra-processing markers were identified and six ultra-processing bullet categories were defined, that is flavour, flavour enhancer, sweetener, colour, other cosmetic additives and non-culinary ingredients. The ingredient lists were analysed concerning these ultra-processing markers and ultra-processing bullet categories, as well as nutrient composition, for all PBMP and MBP. Differences between PBMP and MBP were assessed using chi-square and Mann-Whitney U tests, respectively.

SETTING

Cross-sectional analysis.

PARTICIPANTS

282 PBMP and 149 MBP.

RESULTS

The percentage of ultra-processed food (UPF) items was significantly higher in PBMP (88 %) as compared to MBP (52 %) (P < 0·0001). The proportion of UPF items was numerically higher in 15 out of 18 product categories with differences in six categories reaching statistical significance (P < 0·05). Flavour, flavour enhancer, colour, other cosmetic additives and non-culinary ingredients were significantly more prevalent in PBMP as compared to MBP (P < 0·0001). Concerning nutrient composition, median energy, total fat, saturated fat and protein content were significantly lower, whereas the amounts of carbohydrate, sugar, fibre and salt were significantly higher in PBMP (P < 0·05).

CONCLUSIONS

Ultra-processing markers are significantly more prevalent in PBMP as compared to MBP. Since UPF intake has been convincingly linked to metabolic and CVD, substituting MBP with PBMP might have negative net health effects.