Identification of two novel α-amylase inhibitory activity peptide from Russian sea cucumber body wallprotein hydrolysate.

This study aimed to identify novel α-amylase inhibitory peptides from Russian sea cucumbers and elucidate their inhibitory mechanisms. Among the 52 identified sea cucumber peptide (SCP), two peptides with potential α-amylase inhibitory activity, FPSPPLVA (SCP1) and GPPMPPPPLP (SCP2), were selected from the sequences researched. The results showed that both SCP1 and SCP2 exhibited α-amylase inhibitory activity with IC of 0.

PD-L1 expression levels in mesenchymal stromal cells predict their therapeutic values for autoimmune hepatitis.

Background: Autoimmune hepatitis is a chronic inflammatory hepatic disorder with no effective treatment. Mesenchymal stromal cells (MSCs) have emerged as a promising treatment owing to their unique advantages. However, their heterogeneity is hampering use in clinical applications.

Release of bound polyphenols from wheat bran soluble dietary fiber during simulated gastrointestinal digestion and colonic fermentation in vitro.

Dietary fiber can act as a carrier of bound phenolics in the distal tracts of the gut, where potential microbial processing occurs, but specific mechanism is unclear. This study aimed to evaluate the release characteristic and activity of bound polyphenols from wheat bran soluble dietary fiber (SDF) during simulated gastrointestinal digestion and colonic fermentation in vitro. The result suggested that the bioaccessibility of bound polyphenols in colonic fermentation was 7.

Identification of high iron-chelating peptides with unusual antioxidant effect from sea cucumbers and the possible binding mode.

Iron deficiency anemia (IDA) is a common nutritional disease affecting 2 billion people. To develop a new iron-fortified food, we designed a novel type of iron-chelating peptide [Sea cucumbers peptides (SCP)-Fe] from sea cucumbers. SCP can chelate ferrous ions.

A real-time, dynamic early-warning model based on uncertainty analysis and risk assessment for sudden water pollution accidents.

A real-time, dynamic, early-warning model (EP-risk model) is proposed to cope with sudden water quality pollution accidents affecting downstream areas with raw-water intakes (denoted as EPs). The EP-risk model outputs the risk level of water pollution at the EP by calculating the likelihood of pollution and evaluating the impact of pollution. A generalized form of the EP-risk model for river pollution accidents based on Monte Carlo simulation, the analytic hierarchy process (AHP) method, and the risk matrix method is proposed.