Phenolic Metabolites from Barley in Contribution to Phenome in soil Moisture Deficit

Barley a nutritional powerhouse for gut health and chronic disease defense

Background

Digestive issues are recognized as significant contributors to various chronic diseases, including obesity, diabetes, and cardiovascular disease. Barley, a traditional grain, offers considerable promise in addressing these health challenges due to unique nutritional and bioactive compounds.

Objective

This review examines the therapeutic potential of various parts of barley, underutilized resource, for chronic disease prevention and management.

Method

ology: A comprehensive literature search was conducted across multiple databases like Google Scholar, PubMed, and ISI Web of Science, to identify nutritional components and functional ingredients in barley that contribute to gut health and chronic disease mitigation.

Results

The finding suggests that humans digest barley starch more slowly than wheat and rice, which benefits chronic disease management. Barley's high-molecular-weight β-glucan high content acts as a prebiotic, promotes gut health through microbiome modulation and short-chain fatty acid production, potentially preventing colon cancer and boosting immunity. Recent studies on exploring barley grass of high land showed functional ingredients such as flavonoids, saponarin lutonarin, superoxide dismutase, gamma-aminobutyric acid, polyphenols K, Ca, Se, tryptophan chlorophyll, and vitamins, suggesting potential for enhanced antioxidant activity and improved management of chronic conditions like diabetes, cholesterol, hypertension, cardiovascular health, liver protection, and even boosted immunity.

Conclusion

This review underscores the therapeutic potential of barley and its components in chronic disease management, highlighting the need for well-designed clinical trials to translate these findings into effective interventions.

Saponarin, a Di-glycosyl Flavone from Barley (Hordeum vulgare L.): An Effective Compound for Plant Defense and Therapeutic Application

Saponarin (SA) is a major di-C-glycosyl-O-glycosyl flavone, which is predominantly accumulated in the young green leaves of barley (Hordeum vulgare L.), with numerous biological functions in plants, such as protection against environmental stresses. Generally, SA synthesis and its localization in the mesophyll vacuole or leaf epidermis are largely stimulated in response to biotic and abiotic stresses to participate in a plant's defense response. In addition, SA is also credited for its pharmacological properties, such as the regulation of signaling pathways associated with antioxidant and anti-inflammatory responses. In recent years, many researchers have shown the potential of SA to treat oxidative and inflammatory disorders, such as in protection against liver diseases, and reducing blood glucose, along with antiobesity effects. This review aims to highlight natural variations of SA in plants, biosynthesis pathway, and SA's role in response to environmental stress and implications in various therapeutic applications. In addition, we also discuss the challenges and knowledge gaps concerning SA use and commercialization.

Identification of Block-Structured Covariance Matrix on an Example of Metabolomic Data

Modern investigation techniques (e.g., metabolomic, proteomic, lipidomic, genomic, transcriptomic, phenotypic), allow to collect high-dimensional data, where the number of observations is smaller than the number of features. In such cases, for statistical analyzing, standard methods cannot be applied or lead to ill-conditioned estimators of the covariance matrix. To analyze the data, we need an estimator of the covariance matrix with good properties (e.g., positive definiteness), and therefore covariance matrix identification is crucial. The paper presents an approach to determine the block-structured estimator of the covariance matrix based on an example of metabolomic data on the drought resistance of barley. This method can be used in many fields of science, e.g., in agriculture, medicine, food and nutritional sciences, toxicology, functional genomics and nutrigenomics.

Separation of Chromatographic Co-Eluted Compounds by Clustering and by Functional Data Analysis

Peak overlapping is a common problem in chromatography, mainly in the case of complex biological mixtures, i.e., metabolites. Due to the existence of the phenomenon of co-elution of different compounds with similar chromatographic properties, peak separation becomes challenging. In this paper, two computational methods of separating peaks, applied, for the first time, to large chromatographic datasets, are described, compared, and experimentally validated. The methods lead from raw observations to data that can form inputs for statistical analysis. First, in both methods, data are normalized by the mass of sample, the baseline is removed, retention time alignment is conducted, and detection of peaks is performed. Then, in the first method, clustering is used to separate overlapping peaks, whereas in the second method, functional principal component analysis (FPCA) is applied for the same purpose. Simulated data and experimental results are used as examples to present both methods and to compare them. Real data were obtained in a study of metabolomic changes in barley (Hordeum vulgare) leaves under drought stress. The results suggest that both methods are suitable for separation of overlapping peaks, but the additional advantage of the FPCA is the possibility to assess the variability of individual compounds present within the same peaks of different chromatograms.