Background: Rye contains more fibre and bioactive compounds than other cereals used for bread production. The fibre and compounds of the fibre complex could provide protection against breast cancer (BC).
Objective: To review the evidence and theoretical background for a role of rye and some of its components in the prevention of BC.
Design: A short review based to a great extent on the work by scientists in the Nordic countries.
Results: Some of the possible mechanisms by which the fibre complex could reduce BC risk are presented. The fibre through its effect on fermentation increases esterification of bile acids reducing toxicity of the free bile acids and is involved in the production of butyrate with potential anticancer effects including BC. The fibre reduces the enterohepatic circulation of the oestrogens leading to lower plasma oestrogen concentrations. The fibre complex contains bioactive compounds such as lignans and alkylresorcinols that are antioxidative and potentially anticarcinogenic. In addition, vitamins, minerals, and phytic acid in rye may provide protection against BC.
Conclusion: Rye products made from wholegrain rye flour are likely to contribute to reduced BC risk.
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http://dx.doi.org/10.3402/fnr.v54i0.5231 | DOI Listing |
Rev Clin Esp (Barc)
January 2025
Institute for the Improvement of Health Care (IMAS Foundation), Madrid, Spain.
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January 2025
MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Key Laboratory of Pathogen Bioscience and Anti-infective Medicine, Department of Bioinformatics and Computational Biology, School of Life Sciences, Suzhou Medical College of Soochow University, Suzhou 215123, China; Jiangsu Province Engineering Research Center of Precision Diagnostics and Therapeutics Development, Soochow University, Suzhou 215123, China; Key Laboratory of Alkene-carbon Fibres-based Technology & Application for Detection of Major Infectious Diseases, Soochow University, Suzhou 215123, China; Jiangsu Key Laboratory of Infection and Immunity, Soochow University, Suzhou 215123, China. Electronic address:
Cancer, a heterogeneous disease, presents significant challenges for drug development due to its complex etiology. Drug repurposing, particularly through network medicine approaches, offers a promising avenue for cancer treatment by analyzing how drugs influence cellular networks on a systemic scale. The advent of large-scale proteomics data provides new opportunities to elucidate regulatory mechanisms specific to cancer subtypes.
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January 2025
Institute of Textile Auxiliary and Ecological Dyeing Finishing, Nanjing Tech University, 30 South Puzhu Road, Nanjing 211816, China.
A simple and non-chemical binding nanofiber (-CD/PA) adsorbent was obtained by electrospinning a mixture of -cyclodextrin (-CD) and polyacrylate (PA). The cationic dyes in wastewater were removed by the host-guest inclusion complex of the -cyclodextrin and the electrostatic interaction between the polyacrylate and the dyes groups. The influence of the content of -cyclodextrin on the surface morphology and adsorption capacity of the nanofiber membrane was discussed, and the optimized adsorption capacity of nanofiber adsorption material was determined.
View Article and Find Full Text PDFPolymers (Basel)
January 2025
Departamento de Química Física, Facultad de Ciencias Químicas, Universidad Complutense de Madrid, Ciudad Universitaria, Plaza de la Ciencias s/n, 28040 Madrid, Spain.
This study examines the adsorption and bulk assembly behaviour of quaternized hydroxyethylcellulose ethoxylate (QHECE)-sodium dodecyl sulphate (SDS) complexes on negatively charged substrates. Due to its quaternized structure, QHECE, which is used in several industries, including cosmetics, exhibits enhanced electrostatic interactions. The phase behaviour and adsorption mechanisms of QHECE-SDS complexes are investigated using model substrates that mimic the wettability and surface charge of damaged hair fibres.
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January 2025
School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China.
Due to the complex and uncertain physics of lightning strike on carbon fiber-reinforced polymer (CFRP) laminates, conventional numerical simulation methods for assessing the residual strength of lightning-damaged CFRP laminates are highly time-consuming and far from pretty. To overcome these challenges, this study proposes a new prediction method for the residual strength of CFRP laminates based on machine learning. A diverse dataset is acquired and augmented from photographs of lightning strike damage areas, C-scan images, mechanical performance data, layup details, and lightning current parameters.
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