| Literature DB >> 32992860 |
Femke Hoevenaars1, Jan-Willem van der Kamp1, Willem van den Brink1, Suzan Wopereis1.
Abstract
Health claims on foods are a way of informing consumers about the health benefits of a food product. Traditionally, these claims are based on scientific evaluation of markers originating from a pharmacological view on health. About a decade ago, the definition of health has been rephrased to 'the ability to adapt' that opened up the possibility for a next generation of health claims based on a new way of quantifying health by evaluating resilience. Here, we would like to introduce an opportunity for future scientific substantiation of health claims on food products by using whole-grain wheat as an example. Characterization of the individual whole wheat grain food product or whole wheat flour would probably be considered as sufficiently characterized by the European Food Safety Authority, while the food category whole grain is not specific enough. Meta-analysis provides the scientific evidence that long-term whole-grain wheat consumption is beneficial for health, although results from single 'gold standard' efficacy studies are not always straight forward based on classic measurement methods. Future studies may want to underpin the scientific argumentation that long-term whole grain wheat consumption improves resilience, by evaluating the disruption and rate of a selected panel of blood markers in response to a standardized oral protein glucose lipid tolerance test and aggregated into biomarkers with substantiated physiological benefits, to make a next-generation health claim for whole-grain wheat achievable in the near future.Entities:
Keywords: biomarkers; challenge test; health claim; phenotypic flexibility; resilience; whole grain wheat; wholegrain
Mesh:
Substances:
Year: 2020 PMID: 32992860 PMCID: PMC7599623 DOI: 10.3390/nu12102945
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Biomarker sequel from optimal healthy towards disease. In optimal health, a biomarker will show very dynamic behavior within certain normal boundaries. This dynamic behavior is the result of adaptation to daily stressors, such as eating, exercising etc. This dynamic biomarker behavior will start to change in a pre-stage of disease where dynamics of these early biomarkers of disease or effect will just move outside these normal boundaries. When full blown disease develops and progresses, biomarkers will have very different dynamics, as well as different offset values. These so-called late biomarkers of disease or effects are currently mainly in use especially by pharma and health care, which makes sense since they are aiming to show that treatments are beneficial to disease state. However, nutrition is aimed at the maintenance of health or prevention of disease. Reproduced with permission from [58].
Traditional biomarkers for health benefits accepted by the European Food Safety Authority (EFSA).
| Health Benefit | Biomarker |
|---|---|
| Nervous system, including psychological functions [ | Standard psychometric tests, established test batteries or valid and reliable tests for the specific domain. |
| Physical performance [ | Characteristics of the exercise or physical activity in combination with the target population should be specified. |
| Bone, joints, skin and oral health [ | Measurements of bone mass or bone mineral density using appropriate measures. |
| Appetite ratings, weight management, and blood glucose concentrations [ | Behavioral assessment using methods with appropriate validity and precision. |
| Immune system, gastro intestinal, and defense against pathogens [ | Breath hydrogen levels, gas volume assessed by imaging (i.e., MRI). |
| Antioxidants, oxidative damage and cardiovascular health [ | Low Density Lipoprotein-cholesterol |
Magnetic resonance imaging (MRI); low density lipoprotein (LDL)-cholesterol.
Summary of effects of a refined wheat (RW) versus a whole-grain wheat (WGW) intervention upon health as measured by response to phenotypic flexibility challenge (based upon [35]).
| WGW | RW | |
|---|---|---|
| Glucose metabolism | ~ | ~ |
| Lipid metabolism | ~ | ~ |
| Liver health | ↓ | ↑↑ |
| Cardiovascular disease markers | O | ↑ |
| Inflammatory resilience (based on Interleukin-10, Interleukin-6, Interleukin-8, Tumor necrosis factor-α) | ↓↓ | ↑ |
| Metabolic Resilience (based on glucose, insulin, triglycerides, Low density lipoprotein-cholesterol, High density lipoprotein-cholesterol, total cholesterol) | ~ | ~ |
Legend; O Possible evidence, no association; ↓ Possible evidence (trend), risk reducing; ↓↓ Probable evidence (significant), risk reducing; ~ Insufficient evidence, no effect; ↑ Possible evidence (trend), risk increasing; ↑↑ Probable evidence (significant), risk increasing.