Potential herb–drug interactions between anti-COVID-19 drugs and traditional Chinese medicine

Acta Pharmaceutica Sinica B, Год журнала: 2023, Номер 13(9), С. 3598 - 3637

Опубликована: Июнь 5, 2023

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread worldwide. Effective treatments against COVID-19 remain urgently in need although vaccination significantly reduces the incidence, hospitalization, and mortality. At present, antiviral drugs including Nirmatrelvir/Ritonavir (Paxlovid

Язык: Английский

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Sustainable extraction of ligustilide and ferulic acid from Angelicae Sinensis Radix, for antioxidant and anti-inflammatory activities

Ultrasonics Sonochemistry, Год журнала: 2023, Номер 94, С. 106344 - 106344

Опубликована: Фев. 24, 2023

The 2030 Agenda for Sustainable Development envisions a rational use of energy and resources in all technological processes. However, the extraction methods compounds from medicinal plants herbs, there is an urgent to reduce organic solvents increase efficiency these methods. Therefore, sustainable method (enzyme ultrasonic co-assisted aqueous two-phase extraction, EUA-ATPE) simultaneous separation ferulic acid ligustilide Angelicae Sinensis Radix (ASR) was developed by integrating enzyme-assisted (EAE) with ultrasonic-assisted (UAE- ATPE). effects different enzymes, temperature, pH, time, liquid-to-materials ratio, etc., were optimized single-factor experiments central composite design (CCD). Under optimum conditions, highest comprehensive evaluation value (CEV) yield obtained EUA-ATPE. Furthermore, recovery (R), partition coefficient (K), scanning electron microscopy (SEM) analysis revealed that enzyme treatment improved mass transfer diffusion increased degree cell disruption. Besides, EUA-ATPE extracts have shown great antioxidant anti-inflammatory activity vitro. Finally, compared methods, achieved higher due synergistic effect between EAE UAE-ATPE. provides extracting bioactive contributing Goals (SDG), including SDG-6, SDG-7, SDG-9, SDG-12, SDG-15.

Язык: Английский

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HISTOLOGICAL EXAMINATION OF RETINAL FUNCTION AND THE EFFECTS OF CURCUMA LONGA ON MEMORY CORRECTION IN EXPERIMENTAL OLFACTORY BULBECTOMY RAT MODELS

Advances in Biology & Earth Sciences, Год журнала: 2024, Номер 9(1), С. 216 - 222

Опубликована: Апрель 16, 2024

According to the latest literature data, histological studies of retina in animal models experimental Alzheimer's disease prove invaluable for identifying its early stages. The effects plant antioxidants rehabilitation can be determined by analysis retina. For this purpose, rats were used as research object. Experimental animals trained Morris maze form and study spatial memory. To herbal substances on memory correction curcuma was animals. Histological comparatively analyzed control, bulbectomized curcuma-treated after bulbectomy. materials obtained show that has a neuroprotective effect changes retinas bulbectomy dysfunctions accompanied deterioration visual

Язык: Английский

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Research Progress in Pharmacological Effects and Mechanisms of Angelica sinensis against Cardiovascular and Cerebrovascular Diseases

Molecules, Год журнала: 2024, Номер 29(9), С. 2100 - 2100

Опубликована: Май 2, 2024

Angelica sinensis (Oliv.) Diels (A. sinensis) is a medicinal and edible values substance, which could promote blood circulation enrich blood. It possesses rich chemical components nutrients, have significant therapeutic effects on cardiovascular cerebrovascular diseases. commonly used for the prevention treatment of diseases in elderly, especially improving ischemic damage to heart brain, protecting vascular cells, regulating inflammatory reactions. This article reviews main pharmacological clinical research A. recent years, explores effect its by expression functional proteins inhibiting inflammation, anti-apoptosis, antioxidant mechanisms. provides reference further development related drugs. new direction in-depth application prevention, improvement,

Язык: Английский

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Depolymerized peanut skin-derived proanthocyanidins alleviate cognitive dysfunction by inhibiting Aβ42 aggregation in Alzheimer’s disease

Food Research International, Год журнала: 2025, Номер unknown, С. 115747 - 115747

Опубликована: Янв. 1, 2025

Язык: Английский

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Bioassay and NMR-HSQC-Guided Isolation and Identification of Phthalide Dimers with Anti-Inflammatory Activity from the Rhizomes of Angelica sinensis

Journal of Agricultural and Food Chemistry, Год журнала: 2025, Номер unknown

Опубликована: Фев. 12, 2025

Under the guidance of a bioactivity-guided approach and HSQC characteristic signals, nine pairs phthalic dimers, angesilides A-I (1-9), with complex polycyclic skeletons featuring bridged, fused, spiro ring systems were discovered from rhizomes Angelica sinensis. Their structures absolute configurations established by comprehensive spectroscopic methods, X-ray diffraction analysis, chiral separation. Plausible biosynthetic pathway for 1-9 was proposed. Moreover, anti-inflammatory activities all isolates evaluated in lipopolysaccharide (LPS) stimulated mouse leukemia cells monocyte macrophages (RAW = 264.7). Among them, compound 9 showed remarkable inhibitory activity IC50 values 425 nM could significantly decrease IL-1β IL-6 transcription levels. Interestingly, (+)-9 has superior NO compared to that (-)-9, which verified further molecular docking analysis. The findings provide new insights into A. sinensis as functional food or development drug candidates.

Язык: Английский

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Comparative study on Angelica sinensis after different processing with yellow rice wine in color, aromas, chemical components, and antioxidant activities

Food Chemistry X, Год журнала: 2023, Номер 19, С. 100822 - 100822

Опубликована: Авг. 6, 2023

This study aimed to explore the differences in raw Angelica Sinensis (RAS), wine washing AS (WAS), and stir-frying (WSAS). The results showed there were among three color aroma, 34 aroma compounds identified. content determination revealed ferulic acid Z-ligustilide levels of RAS decreased after processing, those WAS higher than WSAS. Furthermore, 85 representative common components 37 unique tentatively identified AS. Finally, free radical scavenging assay indicated antioxidant capacity was reduced better Collectively, undergoes significant changes color, aromas, components, ability different processing methods also result between

Язык: Английский

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Multi-level advances in databases related to systems pharmacology in traditional Chinese medicine: a 60-year review

Frontiers in Pharmacology, Год журнала: 2023, Номер 14

Опубликована: Ноя. 14, 2023

The therapeutic effects of traditional Chinese medicine (TCM) involve intricate interactions among multiple components and targets. Currently, computational approaches play a pivotal role in simulating various pharmacological processes TCM. application network analysis TCM research has provided an effective means to explain the mechanisms underlying actions herbs or formulas through lens biological analysis. Along with advances analysis, science coalesced around core chain research: formula-herb-component-target-phenotype-

Язык: Английский

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Volatile flavour identification and odour complexity of radix Angelicae sinensis by electronic nose, integrated gas chromatography–mass spectrometry/olfactometry and comprehensive two‐dimensional gas chromatography‐time‐of‐flight‐mass spectrometry

Phytochemical Analysis, Год журнала: 2023, Номер 34(3), С. 329 - 346

Опубликована: Фев. 5, 2023

Radix Angelicae sinensis (Danggui, DG) is known as one of the typical traditional Chinese medicines. DG material consists a variety volatile substances, polysaccharides, organic acids, ceramides, amino vitamins, microelements, among others, and thus has been used for medicinal edible purposes in long history. The fragrance importance to assessing quality.This study was determine flavour compositions materials reveal odour complexity.Electronic nose (E-nose), integrated gas chromatography-mass spectrometry/olfactometry (GC-MS/O) comprehensive two-dimensional chromatography-time-of-flight-mass spectrometry (GC × GC-TOF-MS), combined with solid-phase micro-extraction (SPME), were mainly address complexity materials.Using E-nose sensor responses, total 105 batches samples cultivated six provinces China categorised according their differentiations, principal component analysis (PCA) model established evaluating sample quality through combination Hotelling's T2 Q-residual values statistical quantitative sense. By GC-MS/O GC GC-TOF-MS analyses, 196 compounds identified, 51 odour-active areas discerned 39 odourants determined. It terpenes aromatics that contributed attributes herb.The SPME-GC method first time employed analyse flavours materials, made breakthrough determining compounds, much more than those any previous report. work also significant step forward link radix by techniques. not only provided PCA did depend on predetermined or sensory properties for, but insight into evaluation materials.

Язык: Английский

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Automated Grading of Angelica sinensis Using Computer Vision and Machine Learning Techniques

Agriculture, Год журнала: 2024, Номер 14(3), С. 507 - 507

Опубликована: Март 21, 2024

Angelica sinensis (Oliv.) Diels, a member of the Umbelliferae family, is commonly known as Danggui (Angelica sinensis, AS). AS has functions blood tonic, menstrual pain relief, and laxatives. Accurate classification grades crucial for efficient market management consumer health. The used method to classify depends on evaluator’s observation experience. However, this issues such unquantifiable parameters inconsistent identification results among different evaluators, resulting in relatively chaotic market. To address these issues, study introduced computer vision-based approach intelligently grade AS. Images at five were acquired, denoised, segmented, followed by extraction shape, color, texture features. Thirteen feature selected based difference correlation analysis, including tail area, whole body head diameter, G average, B R variances, skewness, S V which exhibited significant differences correlated with grades. These then train test both traditional back propagation neural network (BPNN) BPNN model improved growing optimizer (GOBPNN). Results showed that GOBPNN achieved significantly higher average testing precision, recall, F-score, accuracy (97.1%, 95.9%, 96.5%, 95.0%, respectively) compared model. combining machine vision technology enabled efficient, objective, rapid, non-destructive, cost effective grading.

Язык: Английский

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