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Fish discards and by-products can be transformed into high value-added products such as fish protein hydrolysates (FPH) containing bioactive peptides. Protein hydrolysates were prepared from different parts (whole fish, skin and head) of several discarded species of the North-West Spain fishing fleet using Alcalase. All hydrolysates had moisture and ash contents lower than 10% and 15%, respectively. The fat content of FPH varied between 1.5% and 9.4% and had high protein content (69.8–76.6%). The amino acids profiles of FPH are quite similar and the most abundant amino acids were glutamic and aspartic acids. All FPH exhibited antioxidant activity and those obtained from Atlantic horse mackerel heads presented the highest 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity, reducing power and Cu2+ chelating activity. On the other hand, hydrolysates from gurnard heads showed the highest ABTS radical scavenging activity and Fe2+ chelating activity. In what concerns the α-amylase inhibitory activity, the IC50 values recorded for FPH ranged between 5.70 and 84.37 mg/mL for blue whiting heads and whole Atlantic horse mackerel, respectively. α-Glucosidase inhibitory activity of FPH was relatively low but all FPH had high Angiotensin Converting Enzyme (ACE) inhibitory activity. Considering the biological activities, these FPH are potential natural additives for functional foods or nutraceuticals.

Bioactive natural products have evolved to inhibit specific cellular targets and have served as lead molecules for health and agricultural applications for the past century 1 – 3 . The post-genomics era has brought a renaissance in the discovery of natural products using synthetic-biology tools 4 – 6 . However, compared to traditional bioactivity-guided approaches, genome mining of natural products with specific and potent biological activities remains challenging 4 . Here we present the discovery and validation of a potent herbicide that targets a critical metabolic enzyme that is required for plant survival. Our approach is based on the co-clustering of a self-resistance gene in the natural-product biosynthesis gene cluster 7 – 9 , which provides insight into the potential biological activity of the encoded compound. We targeted dihydroxy-acid dehydratase in the branched-chain amino acid biosynthetic pathway in plants; the last step in this pathway is often targeted for herbicide development 10 . We show that the fungal sesquiterpenoid aspterric acid, which was discovered using the method described above, is a sub-micromolar inhibitor of dihydroxy-acid dehydratase that is effective as a herbicide in spray applications. The self-resistance gene astD was validated to be insensitive to aspterric acid and was deployed as a transgene in the establishment of plants that are resistant to aspterric acid. This herbicide-resistance gene combination complements the urgent ongoing efforts to overcome weed resistance 11 . Our discovery demonstrates the potential of using a resistance-gene-directed approach in the discovery of bioactive natural products. Fungal genome mining targeted to self-resistance genes close to biosynthetic gene clusters identifies a pathway that produces aspterric acid, which proves to be a potent inhibitor of plant growth.

Cyanobacterial harmful algal blooms (CyanoHABs) produce microcystins (MCs) which are associated with animal and human hepatotoxicity. Over 270 variants of MC exist. MCs have been continually studied due of their toxic consequences. Monitoring water quality to assess the presence of MCs is of utmost importance although it is often difficult because CyanoHABs may generate multiple MC variants, and their low concentration in water. To effectively manage and control these toxins and prevent their health risks, sensitive, fast, and reliable methods capable of detecting MCs are required. This paper aims to review the three main analytical methods used to detect MCs ranging from biological (mouse bioassay), biochemical (protein phosphatase inhibition assay and enzyme linked immunosorbent assay), and chemical (high performance liquid chromatography, liquid chromatography-mass spectrometry, high performance capillary electrophoresis, and gas chromatography), as well as the newly emerging biosensor methods. In addition, the current state of these methods regarding their novel development and usage, as well as merits and limitations are presented. Finally, this paper also provides recommendations and future research directions towards method application and improvement.

Given the inherent complexity of natural medicines, finding a straightforward and efficient method for identifying active ingredients remains a significant challenge, yet it is of paramount importance. Influenza virus neuraminidase (NA), a primary target for anti-influenza drug development, plays a crucial role in the infection process, making it essential to develop rapid and facile methods for screening NA inhibitors. Herein, we developed a novel and efficient analytical technique for the identification of NA inhibitors from complex herbal medicines by integrating dual sensing with affinity chromatography. This approach simplifies the experimental process and highlights the benefits of being quicker, more sensitive, and cost-effective. Regarding the biosensing section, the innovative concept of a 4-methylumbelliferyl-N-acetylneuraminic acid-NA-based fluorescence paper sensor strategy enables the rapid detection of NA inhibitors in complex herbal samples. In affinity chromatography, bioactive compounds were precisely captured, separated, and identified. The efficacy and reliability of the developed method were confirmed using both negative and positive controls. Then, the method was applied to screen for NA inhibitors in 20 different herbal medicines. The results revealed that Bupleurum chinense DC. exhibited the most pronounced inhibitory effect on NA. Subsequent analysis utilizing affinity chromatography identified three bioactive compounds, namely saikosaponin a, saikosaponin d, and baicalin, as the active agents responsible for this inhibitory effect, with IC 50 values of 177.3 μM, 262.9 μM, and 241.4 μM, respectively. Molecular docking studies further indicated that these three bioactive compounds exhibit a strong binding affinity with NA. This research provides novel insights into the screening of enzyme inhibitors within herbal medicines. Graphical abstract

Coarse tea is made of mature tea plant (Camellia sinensis L.) shoots and is generally discarded as a worthless crop product, but has been proved an excellent material for the treatment of diabetes. This study aims to evaluate the effects of the extraction techniques WE (water extraction), UAE (ultrasound-assisted extraction), MAE (microwave-assisted extraction), and EE (enzyme extraction) on the physicochemical properties and antidiabetic activities of polysaccharides from coarse tea (CTPSs). The results showed that all four CTPSs had homogeneity in the monosaccharide types and similar IR (Infrared spectroscopy) characteristic absorption peaks, but differed in monosaccharide proportion and molecular weight distribution. Compared with the other three extraction techniques, CCTPS extracted by EE had the lowest protein content, the highest total sugar content of 71.83% and a polysaccharide yield of 4.52%. In addition, EE-CTPS had the best hypoglycemic activity that was better than ordinary green tea polysaccharides, the α-glucosidase and α-amylase inhibitory activities of EE-CTPS were highest in the range of 2–10 mg/mL compared with the other three CTPSs, which may be related to its smaller molecular weight and porous structure. The results suggested that the EE method was a good way to extract polysaccharides from coarse tea for food and pharmaceutical production.

Microalgae are unicellular marine organisms that have promoted complex biochemical pathways to survive in greatly competitive marine environments. They could contain significant amounts of high-quality proteins which, because of their structural diversity, contain a range of yet undiscovered novel bioactive peptides. In this work, a peptidomic platform was developed for the separation and identification of bioactive peptides in protein hydrolysates. In this work, a peptidomic platform was developed for the extraction, separation, and identification of bioactive peptides in protein hydrolysates. Indeed, extraction of proteins from recalcitrant tissues is still a challenge due to their strong cell walls and high levels of non-protein interfering compounds. Therefore, seven different protein extraction protocols, based on mechanical and chemical methods, were tested in order to produce high-quality protein extracts. Proteins obtained by means of the best protocol, consisting of milling the recalcitrant tissue with glass beads, were subjected to enzymatic digestion with Alcalase® and subsequently the hydrolysate was purified by two-dimensional semi-preparative reversed phase liquid chromatography. Fractions were assayed for antioxidant and antihypertensive activities and only the most active ones were finally analyzed by RP nanoHPLC-MS/MS. Around 500 peptide sequences were identified in these fractions. The identified peptides were subjected to an in silico analysis by PeptideRanker algorithm in order to assign a score of bioactivity probability. Twenty-five sequenced peptides were found with potential antioxidant and angiotensin-converting-enzyme-inhibitory activities. Four of these peptides, WPRGYFL, GPDRPKFLGPF, WYGPDRPKFL, SDWDRF, were selected for synthesis and in vitro tested for specific bioactivity, exhibiting good values of antioxidant and ACE-inhibitory activity.

In this study, the effect of the use of S. platensis , which is presented as an eco-friendly and alternative protein source, in the production of kefir, a probiotic dairy product, on various physicochemical properties as well as FAA, ACE inhibitory activity, proteolysis, TPC, DPPH, ABTS + , and mineral values was investigated. It was observed that the addition of S. platensis at different ratios to the kefir samples had a statistically very significant ( p < 0.01) effect on all physicochemical analyses; L. mesenteroides count; all amino acids except isoleucine, aspartic acid, and glutamic acid; ACE inhibitory activity, TN, TCAN, TCAN/TN, mM Gly, TPC, DPPH, ABTS + , Na, Mg, K, and Fe. In plain kefir samples, mineral contents were determined by order of K > P > Na > Ca > Mg > Zn >> Fe > Cr > Cr > Mn. Furthermore, a general increase was observed in FAA, ACE inhibitory activity, TPC, DPPH, ABTS + , and mineral values, as well as in the counts of Lactococcus spp. and L. mesenteroides in the samples, depending on the proportion of S. platensis added, compared to plain kefir samples. In this context, it was concluded that the addition of S. platensis to kefir at different rates could meet various components required by the body on a daily basis and result in a nutraceutical product.

Cytochrome P450 2C9 (CYP2C9) is a major drug-metabolizing enzyme that represents 20% of the hepatic CYPs and is responsible for the metabolism of 15% of drugs. A general concern in drug discovery is to avoid the inhibition of CYP leading to toxic drug accumulation and adverse drug–drug interactions. However, the prediction of CYP inhibition remains challenging due to its complexity. We developed an original machine learning approach for the prediction of drug-like molecules inhibiting CYP2C9. We created new predictive models by integrating CYP2C9 protein structure and dynamics knowledge, an original selection of physicochemical properties of CYP2C9 inhibitors, and machine learning modeling. We tested the machine learning models on publicly available data and demonstrated that our models successfully predicted CYP2C9 inhibitors with an accuracy, sensitivity and specificity of approximately 80%. We experimentally validated the developed approach and provided the first identification of the drugs vatalanib, piriqualone, ticagrelor and cloperidone as strong inhibitors of CYP2C9 with IC values <18 μM and sertindole, asapiprant, duvelisib and dasatinib as moderate inhibitors with IC50 values between 40 and 85 μM. Vatalanib was identified as the strongest inhibitor with an IC50 value of 0.067 μM. Metabolism assays allowed the characterization of specific metabolites of abemaciclib, cloperidone, vatalanib and tarafenacin produced by CYP2C9. The obtained results demonstrate that such a strategy could improve the prediction of drug-drug interactions in clinical practice and could be utilized to prioritize drug candidates in drug discovery pipelines.

The physicochemical and bioactive properties of polysaccharides from blue honeysuckle (Lonicera caerulea L.) berries were comprehensively investigated. Fourier transform infrared spectroscopy confirmed that both samples were acid heteropolysaccharides. High-performance liquid chromatography detailed a monosaccharide profile of arabinose, galacturonic acid, rhamnose, galactose, and glucose in specific molar ratios. High-performance gel permeation chromatography further revealed variations in molecular weight and distribution among the samples. Functionally, the polysaccharides exhibited significant in vitro antioxidant capacity. For the first time, the polysaccharides are shown to inhibit pancreatic lipase, in addition to α-amylase and α-glucosidase, demonstrating potent inhibitory activity with low IC50 values (2.80 ± 0.12 mg/mL). This bioactivity, particularly toward lipase, was correlated with structural properties such as monosaccharide profile and molecular weight. These results highlight the potential of these polysaccharides as functional food ingredients for managing hyperglycemia and obesity and provide novel insights into their structure–activity relationships.

The current study investigated the chemical composition, antioxidant activity, enzyme inhibition, and cytotoxic activities of extracts from Achillea maritima, a wild medicinal plant used for various therapeutic purposes. The antioxidant activities were assayed through different assays like DPPH, ABTS, CUPRAC, FRAP, and phosphomolybdenum, whereas in enzyme inhibition studies, cholinesterase, tyrosinase, alpha-amylase, and alpha-glucosidase were assayed. Cytotoxicity studies are conducted on S17, RAW, and HepG2 to assess its selectivity and effectiveness. Chemical profiling by UHPLC-ESI-QTOF-MS revealed multiple bioactive compounds in the extracts. Polar solvents (ethanol, ethanol/water, and water) resulted in high concentrations of phenolic acids as well as chlorogenic and caffeoylquinic acids, as well as flavonoids like vicenin and apigenin. On the other, the nonpolar (hexane extract) was rich in octadecatrienoic acid hydroperoxy and hydroxyoctadecatrienic acid. Among these, the water extract contained the highest phenolic content of 32.26 mg GAE/g, while the ethyl acetate extract was the richest in flavonoids, with 7.83 mg RE/g. In the antioxidant studies, the water and ethanol/water extracts consistently display the most potent activities, thus indicating their significant free radical scavenging and metal chelation abilities. The studies on enzyme inhibitions showed remarkable BChE inhibitory activities of the ethanol extract in 12.50 mg GALAE/g, thus showing potential in managing disease conditions related to cholinesterase. Tyrosinase inhibition was significant by the ethanol extract, presenting 55.59 mg KAE/g. The ethyl acetate extract exhibited the most potent inhibitory activity against alpha-amylase with 0.66 mmol ACAE/g, while ethanol extract showed significant inhibition of alpha-glucosidase with 4.35 ACAE/g. Cytotoxicity results showed that the water extract was most effective against the HepG2 cancer cell line by reducing cell viability to 38.4% at high doses while preserving low toxicity against normal cells, as observed by high viability percentages in S17 and RAW cell lines. These results highlight the usefulness of A. maritima extracts in nutraceutical, pharmaceutical, and cosmeceutical applications.