Cereal products exhibit a wide range of glycaemic indexes (GI), but the interaction of their different nutrients and starch digestibility on blood glucose response is not well known. The objective of this analysis was to evaluate how cereal product characteristics can contribute to GI and insulinaemic index and to the parameters describing glycaemic or insulinaemic responses (incremental AUC, maximum concentration and Δpeak). Moreover, interactions between the different cereal products characteristics and glycaemic response parameters were assessed for the first time. Relationships between the cereal products characteristics and the glycaemic response were analysed by partial least square regressions, followed by modelling. A database including 190 cereal products tested by the usual GI methodology was used. The model on glycaemic responses showed that slowly digestible starch (SDS), rapidly digestible starch (RDS) and fat and fibres, and several interactions involving them, significantly explain GI by 53 % and Δpeak of glycaemia by 60 %. Fat and fibres had important contributions to glycaemic response at low and medium SDS contents in cereal products, but this effect disappears at high SDS levels. We showed also for the first time that glycaemic response parameters are dependent on interactions between starch digestibility (interaction between SDS and RDS) and nutritional composition (interaction between fat and fibres) of the cereal products. We also demonstrated the non-linear effect of fat and fibres (significant effect of their quadratic terms). Hence, optimising both the formula and the manufacturing process of cereal products can improve glucose metabolism, which is recognised as strongly influential on human health.

The digestibility of starch in foods, which is influenced by the ingredients, formulation and preparation conditions, is a major determinant of glycaemic response. The terms rapidly digestible starch (RDS) and slowly digestible starch (SDS) along with the associated analytical methodology were developed by Englyst to characterise this nutritionally relevant food attribute. The measurement uncertainty of this starch digestibility method is evaluated here with an inter-laboratory trial. Six laboratories took part in the study testing ten cereal products with mean (range) contents of RDS: 48.4 g/100 g, (23.4-76·9) and, SDS: 10.9 g/100 g, (0.8-24.2). Based on the repeatability and reproducibility measurements, the calculated uncertainty was 3.6 g/100 g for RDS and 1.9 g/100 g for SDS. This trial has demonstrated acceptable measurement uncertainty and confirmed the transferability of the method between laboratories. The SDS content can identify foods rich in slow release carbohydrates with their associated health benefits.

Blue light (400-500 nm) takes part of the visible electromagnetic spectrum. Natural sunlight blue wavelengths, which are always mixed with green, yellow, and red wavelengths, have been shown to play an important role in the regulation of sleeping patterns and circadian rhythms. 1 However, since the 1980s the development of lightemitting diodes (LED) without red and near-infrared wavelengths and the concomitant exponential use of digital technologies, such as flat-screen TVs, computers, tablets, and smartphones, have led to a drastic increase in human exposure to blue light 2 and to several concerns about their possible involvement in the development of degenerative eye diseases. Moreover, the expansion of therapeutic protocols using blue light irradiation in several dental treatments and dermatologic therapies has highlighted their potential side effects. 3 The toxic and genotoxic effects of blue wavelengths have mainly been studied in the context of their therapeutic and ocular risks: They have been shown to induce cellular dysfunction and

Starch digestibility may have an effect on the postprandial blood glucose profile. The aim of this meta-analysis was to analyze the relationship between Slowly Digestible Starch (SDS) levels and plasma glucose appearance and disappearance rates, as well as other parameters of glucose metabolism, after healthy subjects consumed cereal products that differed in SDS content. Three randomized controlled clinical trials that included a total of 79 subjects were identified. Using binary classification for the variables (high versus low levels, more than 12 g of SDS per portion, and less than 1 g of SDS per portion, respectively), we found that there was a 15-fold higher chance of having a low rate of appearance of exogenous glucose (RaE) after consumption of a high-SDS product. A high SDS content was also associated with a 12-fold and 4-fold higher chance of having a low rate of disappearance of exogenous glucose (RdE) and rate of disappearance of total plasma glucose (RdT), respectively. The RaE kinetics were further analyzed by modeling the contribution of SDS content to the different phases of the RaE response. We show that the higher the SDS content per portion of cereal product, the higher its contribution to the incremental area under the curve (iAUC) of the RaE response after 165 min. Using the association rule technique, we found that glycemic iAUC and insulinemic iAUC values vary in the same direction. In conclusion, this meta-analysis confirms the effect of the SDS level in cereal products on the metabolic response, and shows for the first time that the degree to which SDS affects the RaE response differs depending on the SDS content of the food product, as well as the phase of the postprandial period.

Oxidative stress is involved in chronic and acute pathologies: cardiovascular, neurodegenerative, neoplastic, inflammatory and infectious diseases. Clinical trials focused on prevention of cardiovascular and neoplastic diseases involving antioxidant supplementation have however provided predominantly negative obserations in large-scale studies. Screening of patient cohorts to assess baseline oxidative stress on the basis of a biomarker profile is decisive but lacking. For the first time, we evaluated the level of oxidative stress, testing more than 10 established biomarkers, in a comprehensive initial survey of 617 patients displaying chronic human pathologies. Multiple diseasespecific abnormalities were identified in plasma, whole blood and/or urine. This is the case for vitamins and oligo elements, vitamin C, vitamin E, β-carotene, selenium, zinc and copper; endogenous antioxidants such as reduced and oxidised glutathione, thiols, urate, and glutathione peroxidase activity, and a biomarker of oxidative DNA damage (8-hydroxy-2'-deoxyguanosine). The distinct biomarker profiles suggest the involvment of multiple forms of oxidative insults which are in some way partially specific to each pathological condition. This finding is in favor of the determination of an integrated score to combine contributions of distinct biomarkers, in order to screen patients presenting elevated levels of oxidative stress.