Hepatic metabolism-related effects of polysaccharides from red kidney bean and small black soybean on type 2 diabetes

Unveiling the nutrient-wealth of black soybean: A holistic review of its bioactive compounds and health implications

Legumes, an essential component of staple diets, hold a prominent place in global cuisines. Soybean stands out as a widely cultivated legume and is valued for its high protein content, dietary fiber, and rich micronutrients. Several varieties of soybean are available, of which black and yellow varieties show dominance in varied countries and cultures. Over time, the cultivation and consumption of black soybeans have markedly reduced compared to the yellow variety. Despite its rich nutritional and therapeutic indices, it has lost its usage over time. Traditionally, it was utilized in oriental medicine for detoxification and anti-inflammatory potential. However, the antinutrients present in black soybean limit its utilization in the food sector due to their interference with overall nutrient absorption. Several studies in the last few decades have focused on reducing the content of antinutritional factors. However, the information on the use of different processing techniques, both singly and in blends, to reduce antinutrients and enhance the bioaccessibility, bioavailability, and bioactivity of bioactive compounds and varied nutrients is limited and fragmented. Furthermore, studies have highlighted black soybeans' protective effects against various degenerative diseases. However, the studies on the effect of processing to enhance its antioxidative properties to make them a sought-after food commodity with nutraceutical potential and therapeutic efficacy are limited and widely scattered. The review aims to consolidate knowledge of diverse processing methods to improve their nutritional and bioactive profile for wider applications in the food and pharmaceutical industries. Further, it has also highlighted its nutraceutical properties for developing varied functional foods against degenerative diseases to have better therapeutic efficacy.

DHA-enriched phosphatidylserine alleviates bisphenol A-induced liver injury through regulating glycerophospholipid metabolism and the SIRT1-AMPK pathway

To investigate the alleviating effect and mechanism of the docosahexaenoic acid-enriched phosphatidylserine (DHA-PS) on bisphenol A (BPA)-induced liver injury in mice, the murine liver injury model was established by gavage of BPA (5 mg/kg) or co-administration of BPA and DHA-PS (50 mg/kg or 100 mg/kg) for 6 weeks. The results showed that after administration of 100 mg/kg DHA-PS, the liver index, serum levels of AST, ALT, TC, TG, NEFA, and LDL-C in mice were significantly decreased, while HDL-C was significantly increased. The LPS, IL-6, IL-1β, TNF-α, and MDA levels in liver tissues were effectively down-regulated, and IL-10, SOD, GSH-Px, and CAT levels were effectively up-regulated. The H&E and Oil Red O staining results showed that liver damage was notably repaired and lipid deposition was notably reduced after DHA-PS administration. Furthermore, metabolomics and immunohistochemical studies revealed that DHA-PS mainly regulates glycerophospholipid metabolism and the SIRT1-AMPK pathway to improve metabolic disorders of the liver caused by BPA. Therefore, DHA-PS could potentially alleviate BPA-induced murine liver injury through suppressing inflammation and oxidative stress, and modulating lipid metabolism disorders.

Lactiplantibacillus plantarum FRT4 attenuates high-energy low-protein diet-induced fatty liver hemorrhage syndrome in laying hens through regulating gut-liver axis

BACKGROUND

Fatty liver hemorrhage syndrome (FLHS) becomes one of the most major factors resulting in the laying hen death for caged egg production. This study aimed to investigate the therapeutic effects of Lactiplantibacillus plantarum (Lp. plantarum) FRT4 on FLHS model in laying hen with a focus on liver lipid metabolism, and gut microbiota.

RESULTS

The FLHS model of laying hens was established by feeding a high-energy low-protein (HELP) diet, and the treatment groups were fed a HELP diet supplemented with differential proportions of Lp. plantarum FRT4. The results indicated that Lp. plantarum FRT4 increased laying rate, and reduced the liver lipid accumulation by regulating lipid metabolism (lipid synthesis and transport) and improving the gut microbiota composition. Moreover, Lp. plantarum FRT4 regulated the liver glycerophospholipid metabolism. Meanwhile, "gut-liver" axis analysis showed that there was a correlation between gut microbiota and lipid metabolites.

CONCLUSIONS

The results indicated that Lp. plantarum FRT4 improved the laying performance and alleviated FLHS in HELP diet-induced laying hens through regulating "gut-liver" axis. Our findings reveal that glycerophospholipid metabolism could be the underlying mechanism for the anti-FLHS effect of Lp. plantarum FRT4 and for future use of Lp. plantarum FRT4 as an excellent additive for the prevention and mitigation of FLHS in laying hens.

Combined untargeted and targeted lipidomics approaches reveal potential biomarkers in type 2 diabetes mellitus cynomolgus monkeys

BACKGROUND

The significantly increasing incidence of type 2 diabetes mellitus (T2DM) over the last few decades triggers the demands of T2DM animal models to explore the pathogenesis, prevention, and therapy of the disease. The altered lipid metabolism may play an important role in the pathogenesis and progression of T2DM. However, the characterization of molecular lipid species in fasting serum related to T2DM cynomolgus monkeys is still underrecognized.

METHODS

Untargeted and targeted LC-mass spectrometry (MS)/MS-based lipidomics approaches were applied to characterize and compare the fasting serum lipidomic profiles of T2DM cynomolgus monkeys and the healthy controls.

RESULTS

Multivariate analysis revealed that 196 and 64 lipid molecules differentially expressed in serum samples using untargeted and targeted lipidomics as the comparison between the disease group and healthy group, respectively. Furthermore, the comparative analysis of differential serum lipid metabolites obtained by untargeted and targeted lipidomics approaches, four common serum lipid species (phosphatidylcholine [18:0_22:4], lysophosphatidylcholine [14:0], phosphatidylethanolamine [PE] [16:1_18:2], and PE [18:0_22:4]) were identified as potential biomarkers and all of which were found to be downregulated. By analyzing the metabolic pathway, glycerophospholipid metabolism was associated with the pathogenesis of T2DM cynomolgus monkeys.

CONCLUSION

The study found that four downregulated serum lipid species could serve as novel potential biomarkers of T2DM cynomolgus monkeys. Glycerophospholipid metabolism was filtered out as the potential therapeutic target pathway of T2DM progression. Our results showed that the identified biomarkers may offer a novel tool for tracking disease progression and response to therapeutic interventions.

Non-starch polysaccharides from kidney beans: comprehensive insight into their extraction, structure and physicochemical and nutritional properties

Kidney beans (Phaseolus vulgaris L.) are an important legume source of carbohydrates, proteins, and bioactive molecules and thus have attracted increasing attention for their high nutritional value and sustainability. Non-starch polysaccharides (NSPs) in kidney beans account for a high proportion and have a significant impact on their biological functions. Herein, we critically update the information on kidney bean varieties and factors that influence the physicochemical properties of carbohydrates, proteins, and phenolic compounds. Furthermore, their extraction methods, structural characteristics, and health regulatory effects, such as the regulation of intestinal health and anti-obesity and anti-diabetic effects, are also summarized. This review will provide suggestions for further investigation of the structure of kidney bean NSPs, their relationships with biological functions, and the development of NSPs as novel plant carbohydrate resources.

Impact of red kidney bean protein on starch digestion and exploring its underlying mechanism

This study aimed to investigate the effect of different proportions of red kidney bean protein (RKP) on the digestibility of co-gelatinized wheat starch (WS) and corn starch (CS), as well as explore the potential underlying mechanisms. The results showed a significant reduction in both the rate and extent of digestion for WS and CS after adding the RKP during co-gelatinization. Furthermore, incorporating RKP at 0 % to 20 % levels increased the content of resistant starch (RS) by 34.89 % and 14.43 % in the digested systems of wheat starch and maize starch, respectively, while decreasing the concentration of rapidly digestible starch (RDS) by 12.24 % and 20.39 %, respectively. Furthermore, RKP was found to inhibit α-amylase in a dose-dependent and non-competitive manner. Its interaction with starch occurred through hydrogen bonds and hydrophobic interactions, resulting in a modification of the short-range ordered structure of starch and ultimately leading to inhibition of starch digestion. The physical barrier effect of RKP on starch digestion also contributed to its inhibitory action. Considering the health-related delay in the rate and extent of postprandial starch digestion, Our findings have important inspirational value for the use of red kidney bean protein in hypoglycemic foods.

Based on network pharmacology to explore the effect and mechanism of Yipibushen decoction in improving obese type 2 diabetes mellitus with oligoasthenotspermia

ETHNOPHARMACOLOGICAL RELEVANCE

A traditional Chinese medicine experience compound known as Yipibushen (YPBS) decoction stimulates qi and nourishes yin, stimulates the kidney and solid essence, dissolves phlegm and eliminates stasis. YPBS decoction has proven to be successful in treating obese type 2 diabetes mellitus with oligoasthenotspermia in clinical settings. Nevertheless, the pharmacological mechanism is not understood.

AIM OF THE STUDY

Investigating the mechanism of action of YPBS decoction in enhancing the obese type 2 diabetes mellitus with oligoasthenotspermia involved network pharmacology and animal validation techniques.

METHODS AND MATERIALS

The YPBS Decoction' active components were found in the TCMSP database and their targets were identified using UniProtKB. Additionally, targets for the obese type 2 diabetes mellitus with oligoasthenotspermia were found in the GeneCard, DisGeNet, TTD and OMIM databases. The intersection of active ingredients, the obese type 2 diabetes mellitus with oligoasthenotspermia was chosen as the intersection target. The protein-protein interaction (PPI) network of the intersection target was built with the aid of Cytoscape 3.9.1, the core target of PPI was obtained through software analysis in R-project, GO enrichment and KEGG enrichment analysis was carried out on the core target. Finally, animal experiments were used to verify the intersection target.

RESULTS

The research revealed 74 intersection targets of YPBS decoction active ingredients in the obese type 2 diabetes mellitus with oligoasthenotspermia. There were also 18 PPI core targets, GO enrichment analysis of PPI core targets involving response to oxidative stress, membrane raft, DNA-binding transcription regulator complex and other biological processes; KEGG involving endocrine resistance, PI3K/AKT signaling pathway, apoptosis and other signal pathways. In the obese type 2 diabetes mellitus with oligoasthenotspermia mice, animal studies have shown that YPBS decoction group could decrease blood glucose levels and improve insulin resistance; improve testicular function, enhance sperm count, sperm motility, sperm viability, and decrease the malformation rate. It could increase the levels of T-SOD and GSH-Px, and decrease the MDA level. In addition to this, it could improve the amount of testosterone hormone, and enhance the expression of PI3K, p-AKT and Bcl-2.

CONCLUSION

By controlling the degree of oxidative stress and the PI3K/AKT/Bcl-2 pathway, YPBS decoction may enhance the obese type 2 diabetes mellitus with Oligoasthenotspermia, provide a scientific basis for clinical diagnosis and therapy.

Machine learning encodes urine and serum metabolic patterns for autoimmune disease discrimination, classification and metabolic dysregulation analysis

There is a wide variety of autoimmune diseases (ADs) with complex pathogenesis and their accurate diagnosis is difficult to achieve because of their vague symptoms. Metabolomics has been proven to be an efficient tool in the analysis of metabolic disorders to provide clues about the mechanism and diagnosis of diseases. Previous studies of the metabolomics analysis of ADs were not competent in their discrimination. Herein, a liquid chromatography tandem mass spectrometry (LC-MS) strategy combined with machine learning is proposed for the discrimination and classification of ADs. Urine and serum samples were collected from 267 subjects consisting of 127 healthy controls (HC) and 140 AD patients, including those with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), sicca syndrome (SS), ankylosing spondylitis (AS), systemic scleroderma (SSc) and connective tissue disease (CTD). Machine learning algorithms were encoded for the discrimination and classification of ADs with metabolomic patterns obtained by LC-MS, and satisfactory results were achieved. Notably, urine samples exhibited higher accuracy for disease differentiation and triage than serum samples. Apart from that, differential metabolites were selected and metabolite panels were evaluated to demonstrate their representativeness. Metabolic dysregulations were also investigated to gain more knowledge about the pathogenesis of ADs. This research provides a promising method for the application of metabolomics combined with machine learning in precision medicine.

Effect of Arabinoxylan from Wastewater Generated during Vital Wheat Gluten Production on Liver Metabolism in Type 2 Diabetic Mice

Arabinoxylan (AX) is a dietary fiber that has been proven to have a significant antidiabetic effect. Liver metabolic disorders frequently coincide with the development of type 2 diabetes, but research on the hepatoprotective effects of AX in type 2 diabetic mice is lacking. As AX is abundant in the wastewater produced during vital wheat gluten protein production, this study used it as a raw material to evaluate its protective effect on liver function. The study employed an AX intervention in type 2 diabetic mice induced by a high-fat diet combined with streptozotocin and collected serum and liver tissue samples after 4 weeks. Serum and liver function indicators were measured using an automatic biochemistry analysis apparatus, and liver fat accumulation was observed using oil red O staining. Nontargeted metabolomics analysis of liver tissues was conducted using UHPLC-MS/MS. The results showed that AX significantly improved liver function indicators and histopathological damage, and regulated liver metabolic disorders by improving the differential metabolites of pantothenate and CoA biosynthesis, as well as purine metabolism. This study demonstrated that AX may exert a significant hepatoprotective effect by regulating metabolic disorders.