Improvement of Alginate Extraction from Brown Seaweed (Laminaria digitata L.) and Valorization of Its Remaining Ethanolic Fraction

This study aimed to improve the conventional procedure of alginate isolation from the brown seaweed (Laminaria digitata L.) biomass and investigate the possibility of further valorization of the ethanolic fraction representing the byproduct after the degreasing and depigmentation of biomass. The acid treatment of biomass supported by ultrasound was modeled and optimized regarding the alginate yield using a response surface methodology based on the Box-Behnken design. A treatment time of 30 min, a liquid-to-solid ratio of 30 mL/g, and a treatment temperature of 47 °C were proposed as optimal conditions under which the alginate yield related to the mass of dry biomass was 30.9%. The use of ultrasonic radiation significantly reduced the time required for the acid treatment of biomass by about 4 to 24 times compared to other available conventional procedures. The isolated alginate had an M/G ratio of 1.08, which indicates a greater presence of M-blocks in its structure and the possibility of forming a soft and elastic hydrogel with its use. The chemical composition of the ethanolic fraction including total antioxidant content (293 mg gallic acid equivalent/g dry weight), total flavonoid content (14.9 mg rutin equivalent/g dry weight), contents of macroelements (the highest content of sodium, 106.59 mg/g dry weight), and microelement content (the highest content of boron, 198.84 mg/g dry weight) was determined, and the identification of bioactive compounds was carried out. The results of ultra high-performance liquid chromatography-electrospray ionization-tandem mass spectrometry analysis confirmed the presence of 48 compounds, of which 41 compounds were identified as sugar alcohol, phenolic compounds, and lipids. According to the 2,2-diphenyl-1-picrylhydrazyl assay, the radical scavenging activity of the ethanolic fraction (the half-maximal inhibitory concentration of 42.84 ± 0.81 μg/mL) indicated its strong activity, which was almost the same as in the case of the positive control, synthetic antioxidant butylhydroxytoluene (the half-maximal inhibitory concentration of 36.61 ± 0.79 μg/mL). Gram-positive bacteria (Staphylococcus aureus, Enterococcus faecalis, and Bacillus cereus) were more sensitive to the ethanolic fraction compared to Gram-negative bacteria (Escherichia coli, Pseudomonas aeruginosa, and Shigella sonnei). The obtained results indicated the possibility of the further use of the ethanolic fraction as a fertilizer for plant growth in different species and antifouling agents, applicable in aquaculture.

High-throughput discovery of highly selective reversible hMAO-B inhibitors based on at-line nanofractionation

Human monoamine oxidase B (hMAO-B) has emerged as a pivotal therapeutic target for Parkinson's disease. Due to adverse effects and shortage of commercial drugs, there is a need for novel, highly selective, and reversible hMAO-B inhibitors with good blood-brain barrier permeability. In this study, a high-throughput at-line nanofractionation screening platform was established with extracts from Chuanxiong Rhizoma, which resulted in the discovery of 75 active compounds, including phenolic acids, volatile oils, and phthalides, two of which were highly selective novel natural phthalide hMAO-B inhibitors that were potent, selective, reversible and had good blood‒brain permeability. Molecular docking and molecular dynamics simulations elucidated the inhibition mechanism. Sedanolide (IC50 = 103 nmol/L; SI = 645) and neocnidilide (IC50 = 131 nmol/L; SI = 207) demonstrated their excellent potential as hMAO-B inhibitors. They offset the limitations of deactivating enzymes associated with irreversible hMAO-B inhibitors such as rasagiline. In SH-SY5Y cell assays, sedanolide (EC50 = 0.962 μmol/L) and neocnidilide (EC50 = 1.161 μmol/L) exhibited significant neuroprotective effects, comparable to the positive drugs rasagiline (EC50 = 0.896 μmol/L) and safinamide (EC50 = 1.079 μmol/L). These findings underscore the potential of sedanolide as a novel natural hMAO-B inhibitor that warrants further development as a promising drug candidate.

Rapid classification and identification of chemical constituents in Leonurus japonicus Houtt based on UPLC-Q-Orbitrap-MS combined with data post-processing techniques

Leonurus japonicus Houtt (LJH) is a bulk medicinal material commonly used in clinical practice, but its complex constituents have not been completely understood, posing challenges to pharmacology, pharmacokinetic research, and scientific and rational drug use. As a result, it is critical to develop an efficient and accurate method for classifying and identifying the chemical composition of LJH. In this study, ultra-performance liquid chromatography-quadrupole electrostatic field-orbital trap high resolution mass spectrometry (UPLC-Q-Orbitrap-MS) was successfully established, along with two data post-processing techniques, characteristic fragmentations (CFs) and neutral losses (NLs), to quickly classify and identify the chemical constituents in LJH. As a result, 44 constituents of LJH were identified, including four alkaloids, 20 flavonoids, two phenylpropanoids, 17 organic acids, and one amino acid. The method in this paper enables classification and identification of chemical compositions rapidly, providing a scientific foundation for further research on the effective and toxic substances of LJH.

Rapid identification and quantitative determination of chemical compositions in Buyang Huanwu decoction based on HPLC-Q-Exactive mass spectrometry

OBJECTIVE

To establish an analytical method for rapid identification of chemical compositions and quantitative determination of major compositions in Buyang Huanwu decoction (BYHWD) based on high performance liquid chromatography-quadrupole orbitrap mass spectrometry (HPLC-Q-Exactive MS) and high performance liquid chromatography-ultraviolet detection (HPLC-UV).

METHODS

The mass spectrometry information was collected in Full MS/dd-MS 2 negative ion mode with HPLC-Q-Exactive MS system; the chemical compositions of BYHWD were subsequently annotated with Compound Discoverer 3.0 software and a self-built in-house compound library. Eight major compositions (paeoniflorin, gallic acid, hydroxysafflor yellow A, ferulic acid, calycosin-7-glucoside, ononin, calycosin, formononetin) were picked out and their contents were quantitatively determined with HPLC-UV analysis.

RESULTS

A total of 178 compounds in BYHWD were tentatively identified. The results of HPLC-UV quantitative analysis showed that 8 compositions had a good linear relationship in their respective concentration range ( R 2≥0.9990), the relative standard deviations (RSD) of precision and stability were all less than 15%, and the recovery rate RSD was between 1.6% and 2.4%.

CONCLUSIONS

The method established in this study can realize the rapid identification and accurate quantification of the major compositions in BYHWD. Paeoniflorin, hydroxysafflor yellow A and gallic acid may be used as quality control markers.

Metabolomics combined with network pharmacology to study the mechanism of Shentong Zhuyu decoction in the treatment of rheumatoid arthritis

ETHNOPHARMACOLOGICAL RELEVANCE

Shentong Zhuyu decoction (STZYD) was first recorded in the classic of "Yilin Gaicuo" written by Wang Qingren, and recognized by the Chinese National Administration of Traditional Chinese Medicine as one of the 100 classic formulas. The formula has been widely used in the treatment of rheumatoid arthritis (RA) with significant clinical effects. However, its mechanism of action is not completely clear.

AIM OF THE STUDY

This study aimed to explore the mechanism of STZYD in the treatment of RA by network pharmacology and metabolomics.

MATERIALS AND METHODS

The effects of STZYD anti-RA were investigated by paw swelling, arthritis score, cytokine level, histopathological and micro-CT analysis in adjuvant-induced arthritis (AIA) rats. The chemical constituents of STZYD and absorbed constituents in AIA rat serum were analyzed by UPLC-Q-Exactive MS/MS. Based on the characterized chemical components, the network pharmacology was used to find potential targets and signaling pathways of STZYD in RA treatment. Meanwhile, the predicted pathway was determined by the Western blot (WB). Subsequently, non-targeted metabolomics of serum was performed to analyze metabolic profiles, potential biomarkers, and metabolic pathways of STZYD in the treatment of RA based on LC-MS technology.

RESULTS

STZYD significantly alleviated RA symptoms by improving paw redness and swelling, bone and cartilage damage, synovial hyperplasia, and infiltration of inflammatory cells, and decreased the generation of pro-inflammatory cytokines IL-1β, IL-6, IL-17A and TNF-α in AIA rats. Totally, 59 chemical components of STZYD and 24 serum migrant ingredients were identified. A total of 655 genes of potential bioactive components in STZYD and 1025 related genes of RA were obtained. TNF signaling pathway was considered to one of the main signaling pathways of STZYD anti-RA by KEGG analysis, including a wide range intracellular signaling pathways. NF-κB signaling pathway regulates inflammation and immunity in the TNF signaling pathway. STZYD markedly inhibited the expression of NF-κB signaling pathway. Ten potential biomarkers were found in metabolomics based on LC-MS technology. Alanine, aspartate and glutamate metabolism, arachidonic acid metabolism are the most related pathways of STZYD anti-RA.

CONCLUSION

The study based on serum pharmacochemistry, network pharmacology and metabolomics indicated that STZYD can improve RA through regulating inflammation and immunity related pathways, and provided a new possibility for treatment of RA.

Identification and Analysis of Compound Profiles of Sinisan Based on 'Individual Herb, Herb-Pair, Herbal Formula' before and after Processing Using UHPLC-Q-TOF/MS Coupled with Multiple Statistical Strategy

Sinisan has been widely used to treat depression. However, its pharmacologically-effective constituents are largely unknown, and the pharmacological effects and clinical efficacies of Sinisan-containing processed medicinal herbs may change. To address these important issues, we developed an ultra-high performance liquid chromatography coupled with electrospray ionization tandem quadrupole-time-of-flight mass spectrometry (UHPLC-Q-TOF/MS) method coupled with multiple statistical strategies to analyze the compound profiles of Sinisan, including individual herb, herb-pair, and complicated Chinese medicinal formula. As a result, 122 different constituents from individual herb, herb-pair, and complicated Chinese medicinal formula were identified totally. Through the comparison of three progressive levels, it suggests that processing herbal medicine and/or altering medicinal formula compatibility could change herbal chemical constituents, resulting in different pharmacological effects. This is also the first report that saikosaponin h/i and saikosaponin g have been identified in Sinisan.

Recent development in liquid chromatography stationary phases for separation of Traditional Chinese Medicine components

Traditional Chinese Medicine (TCM) is an ancient medical practice which has been used to prevent and cure diseases for thousands of years. TCMs are frequently multi-component systems with mainly unidentified constituents. The study of the chemical compositions of TCMs remains a hotspot of research. Different strategies have been developed to manage the significant complexity of TCMs, in an attempt to determine their constituents. Reversed-phase liquid chromatography (RPLC) is still the method of choice for the separation of TCMs, but has many problems related to limited selectivity. Recently, enormous efforts have been concentrated on the development of efficient liquid chromatography (LC) methods for TCMs, based on selective stationary phases. This can improve the resolution and peak capacity considerably. In addition, high-efficiency stationary phases have been applied in the analysis of TCMs since the invention of ultra high-performance liquid chromatography (UHPLC). This review describes the advances in LC methods in TCM research from 2010 to date, and focuses on novel stationary phases. Their potential in the separation of TCMs using relevant applications is also demonstrated.