Barleyβ-Glucan and Wheat Arabinoxylan Soluble Fiber Technologies for Health-Promoting Bread Products

2007 ◽  
pp. 157-176
Author(s):  
Isabel Trogh ◽  
Christophe Courtin ◽  
Jan Delcour
Nutrients ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1853 ◽  
Author(s):  
Daniela Graf ◽  
Jennifer M. Monk ◽  
Dion Lepp ◽  
Wenqing Wu ◽  
Laurel McGillis ◽  
...  

Dietary pulses, including lentils, are protein-rich plant foods that are enriched in intestinal health-promoting bioactives, such as non-digestible carbohydrates and phenolic compounds. The aim of this study was to investigate the effect of diets supplemented with cooked red lentils on the colonic microenvironment (microbiota composition and activity and epithelial barrier integrity and function). C57Bl/6 male mice were fed one of five diets: a control basal diet (BD), a BD-supplemented diet with 5, 10 or 20% cooked red lentils (by weight), or a BD-supplemented diet with 0.7% pectin (equivalent soluble fiber level as found in the 20% lentil diet). Red lentil supplementation resulted in increased: (1) fecal microbiota α-diversity; (2) abundance of short-chain fatty acid (SCFA)-producing bacteria (e.g., Prevotella, Roseburia and Dorea spp.); (3) concentrations of fecal SCFAs; (4) mRNA expression of SCFA receptors (G-protein-coupled receptors (GPR 41 and 43) and tight/adherens junction proteins (Zona Occulden-1 (ZO-1), Claudin-2, E-cadherin). Overall, 20% lentil had the greatest impact on colon health outcomes, which were in part explained by a change in the soluble and insoluble fiber profile of the diet. These results support recent public health recommendations to increase consumption of plant-based protein foods for improved health, in particular intestinal health.


2020 ◽  
Author(s):  
Malachy T. Campbell ◽  
Haixiao Hu ◽  
Trevor H. Yeats ◽  
Melanie Caffe-Treml ◽  
Lucía Gutiérrez ◽  
...  

AbstractOat (Avena sativa L.) seed is a rich resource of beneficial lipids, soluble fiber, protein, and antioxidants, and is considered a healthful food for humans. Despite these characteristics, little is known regarding the genetic controllers of variation for these compounds in oat seed. We sought to characterize natural variation in the mature seed metabolome using untargeted metabolomics on 367 diverse lines and leverage this information to improve prediction for seed quality traits. We used a latent factor approach to define unobserved variables that may drive covariance among metabolites. One hundred latent factors were identified, of which 21% were enriched for compounds associated with lipid metabolism. Through a combination of whole-genome regression and association mapping, we show that latent factors that generate covariance for many metabolites tend to have a complex genetic architecture. Nonetheless, we recovered significant associations for 23% of the latent factors. These associations were used to inform a multi-kernel genomic prediction model, which was used to predict seed lipid and protein traits in two independent studies. Predictions for eight of the 12 traits were significantly improved compared to genomic best linear unbiased prediction when this prediction model was informed using associations from lipid-enriched factors. This study provides new insights into variation in the oat seed metabolome and provides genomic resources for breeders to improve selection for health-promoting seed quality traits. More broadly, we outline an approach to distill high-dimensional ‘omics’ data to a set of biologically-meaningful variables and translate inferences on these data into improved breeding decisions.


2020 ◽  
Vol 12 ◽  
Author(s):  
Emmanuel Idehen ◽  
Weixin Wang ◽  
Shengmin Sang

Type 2 diabetes (T2D) is one of the most prevalent metabolic disorders in the United States. Increased blood glucose levels and improper crucial metabolism ensuing from insulin action, insulin secretion defect, or both are characteristics of this disease. The risk of developing T2D is associated with many factors, including obesity, race, inactivity, and genetics. Increased whole-grain (WG) consumption has been reported to lower the risk of obesity and T2D. Among WGs, barley shows a comparative advantage in its fiber content, especially the soluble fiber, beta-glucan (β-glucan), an active component credited for this benefit. Barley also contains important phytochemicals, mostly intertwined with its fiber, reported to also offer glycemic response benefits. The mechanism by which barley exerts these changes in glycemic response is not entirely understood. However, the physical properties of barley fiber, the function of microbial metabolites of fiber, short chain fatty acids, and the beneficial effects of its phytochemicals through multiple pathways have all been reported as the potential mechanisms for its antidiabetic effects. This review summarizes recent studies concerning the health-promoting benefit of barley in preventing and moderating the risk factors associated with diabetes and the potential underlying mechanisms.


2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Ifeoma Chinyelu Nwafor ◽  
Karabo Shale ◽  
Matthew Chilaka Achilonu

Chicory is a perennial plant grown in different parts of the world, used as forage for livestock, as folklore remedies, or as a vegetable addition in human diets. There are several varieties of the chicory plant, known differently globally due to its numerous medicinal, culinary, and nutritional qualities. Most parts of the plant contain a potpourri of nutrients ranging within carbohydrates, proteins, vitamins, minerals, soluble fiber, trace elements, and bioactive phenolic compounds, which are responsible for the various nutritive, prophylactic, and therapeutic qualities of chicory. Inulin, coumarins, tannins, monomeric flavonoids, and sesquiterpene lactones are some of the major phytocompounds mostly found in chicory plants. The health-promoting activities attributed to chicory comprise, among others, anti-inflammatory, anticarcinogenic, antiviral, antibacterial, antimutagenic, antifungal, anthelmintic, immune-stimulating, and antihepatotoxic and its antioxidative qualities. As a versatile plant, chicory’s chemical composition and use as a suitable livestock feed supplement or as an alternative feed ingredient (AFI) are thus reviewed.


Genetics ◽  
2021 ◽  
Vol 217 (3) ◽  
Author(s):  
Malachy T Campbell ◽  
Haixiao Hu ◽  
Trevor H Yeats ◽  
Melanie Caffe-Treml ◽  
Lucía Gutiérrez ◽  
...  

Abstract Oat (Avena sativa L.) seed is a rich resource of beneficial lipids, soluble fiber, protein, and antioxidants, and is considered a healthful food for humans. Little is known regarding the genetic controllers of variation for these compounds in oat seed. We characterized natural variation in the mature seed metabolome using untargeted metabolomics on 367 diverse lines and leveraged this information to improve prediction for seed quality traits. We used a latent factor approach to define unobserved variables that may drive covariance among metabolites. One hundred latent factors were identified, of which 21% were enriched for compounds associated with lipid metabolism. Through a combination of whole-genome regression and association mapping, we show that latent factors that generate covariance for many metabolites tend to have a complex genetic architecture. Nonetheless, we recovered significant associations for 23% of the latent factors. These associations were used to inform a multi-kernel genomic prediction model, which was used to predict seed lipid and protein traits in two independent studies. Predictions for 8 of the 12 traits were significantly improved compared to genomic best linear unbiased prediction when this prediction model was informed using associations from lipid-enriched factors. This study provides new insights into variation in the oat seed metabolome and provides genomic resources for breeders to improve selection for health-promoting seed quality traits. More broadly, we outline an approach to distill high-dimensional “omics” data to a set of biologically meaningful variables and translate inferences on these data into improved breeding decisions.


2001 ◽  
Vol 120 (5) ◽  
pp. A211-A211
Author(s):  
N HAQUEALAM ◽  
R MEIER ◽  
S SARKER ◽  
P BARDHAN ◽  
G FUCHS ◽  
...  

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