Ingredients Of Traditional Chinese Medicine Research Articles

Forsythoside A protects against Zearalenone-induced cell damage in chicken embryonic fibroblasts via mitigation of endoplasmic reticulum stress.

Zearalenone (ZEA) is a non-steroidal estrogenic mycotoxin that exerts its toxic effects through various damage mechanisms such as oxidative stress, endoplasmic reticulum stress (ERS), mitochondrial damage, cell cycle arrest, and apoptosis. At present, there are few studies on drugs that can rescue ZEA-induced chicken embryonic fibroblasts damage. Forsythoside A (FA) is one of effective ingredients of traditional Chinese medicine that plays a role in various biological functions, but its antitoxin research has not been investigated so far. In this study, in vitro experiments were carried out. Chicken embryo fibroblast (DF-1) cells was used as the research object to select the appropriate treatment concentration of ZEA and examined reactive oxygen species (ROS), mitochondrial membrane potential, ERS and apoptosis to investigate the effects and mechanisms of FA in alleviating ZEA-induced cytotoxicity in DF-1 cells. Our results showed that ZEA induced ERS and activated the unfolded protein response (UPR) leading to apoptosis, an apoptotic pathway characterized by overproduction of Lactate dehydrogenase (LDH), Caspase-3, and ROS and loss of mitochondrial membrane potential. We also demonstrated that FA help to prevent ERS and attenuated ZEA-induced apoptosis in DF-1 cells by reducing the level of ROS, downregulating GRP78, PERK, ATF4, ATF6, JNK, IRE1, ASK1, CHOP, BAX expression, and up-regulating Bcl-2 expression. Our results provide a basis for an in-depth study of the mechanism of toxic effects of ZEA on chicken cells and the means of detoxification, which has implications for the treatment of relevant avian diseases.

Recent Advances in Biologically Active Ingredients from Natural Drugs for Sepsis Treatment.

Sepsis refers to the dysregulated host response to infection; its incidence and mortality rates are high. It is a worldwide medical problem but there is no specific drug for it. In recent years, clinical and experimental studies have found that many monomer components of traditional Chinese medicine have certain effects on the treatment of sepsis. This paper reviews the advances in research on the active ingredients of traditional Chinese medicine involved in the treatment of sepsis in recent years according to their chemical structure; it could provide ideas and references for further research and development in Chinese materia medica for the treatment of sepsis.

Determination of 35 prohibited pesticide residues in Saussurea costus by modified QuEChERS method based on multi-walled carbon nanotubes coupled with gas chromatography-tandem mass spectrometry

Saussurea costus, a perennial herb belonging to the Asteraceae family, is a vital ingredient in traditional Chinese medicine. Increased demands for the herb have led to its widespread cultivation in China, but the corresponding increase in pesticide use has raised concerns about pesticide residues. Such residues would affect the safety and global market potential of Saussurea costus. Thus, a simple method is crucial to detect pesticide residues. The QuEChERS technique, in combination with gas chromatography-tandem mass spectrometry (GC-MS/MS), is commonly used for residue detection. However, traditional adsorbents may be unable to purify complex herbal mixtures well, affecting accuracy and instrument performance. Choosing suitable purification materials for Saussurea costus samples with complex matrices is of significant importance. This study focused on the detection of 35 prohibited pesticides in Saussurea costus. A rapid detection method was established by combining the QuEChERS technique with GC-MS/MS and utilizing a combination of multiwalled carbon nanotubes (MWCNTs), octadecylsilane-bonded silica gel (C18), and anhydrous magnesium sulfate (MgSO4) as the purification adsorbent. The samples were extracted with acetonitrile, purified by an improved QuEChERS process, subjected to GC-MS/MS analysis in multiple reaction monitoring (MRM) mode, and quantified using the internal standard method. The purification effects of four materials (C18, MWCNTs, N-propyl ethylenediamine (PSA), and graphitized carbon black (GCB)) and their optimal dosages were investigated by considering the matrix characteristics of the samples. An orthogonal experimental design was employed to optimize the ratio of adsorbent combinations, and the optimal adsorbent combination was determined to be 450 mg of MgSO4, 400 mg of C18, and 50 mg of MWCNTs. Matrix effect (ME) evaluation of the S. costus matrix showed that 31 target compounds strongly exhibited matrix-enhancement effects. Thus, matrix-matched calibration was employed in this study. Methodological investigation revealed that the standard curves for the 35 pesticides exhibited good linearity, with correlation coefficients (r2) greater than 0.9970. The average recoveries at three spiked levels ranged from 69.6% to 126.9%, and the relative standard deviations (RSDs) for parallel groups were all less than 10%. The limits of detection (LODs) and quantification (LOQs) ranged from 0.2 to 5.4 μg/kg and from 0.6 to 18.1 μg/kg, respectively. The developed method was used to screen and detect 35 pesticide residues in 20 batches of S. costus samples, and the target compounds were detected in six batches. The proposed method is simple, sensitive, and accurate. Thus, it is suitable for the rapid screening and detection of the 35 pesticide residues in S. costus and provides technical support for the cultivation, production, and quality control of the herb.

Synthesis and evaluation of bone targeting PLGA nanoparticles loaded with components of traditional Chinese medicine formulas.

Targeted nanoparticles' preparation can enhance local drug concentration and reduce the side effects of drugs in non-targeted organs. At present, many patents have been applied for in the field of bone-targeted nanoparticles' preparations. They play an important role in the treatment and diagnosis of diseases. In this experiment, nanoparticles with bone targeting function were prepared by poly(lactic-co-glycolic acid) (PLGA) copolymer and tetracycline. These nanoparticles contain active ingredients in the Huangqi Sanxian decoction, a kind of Traditional Chinese Medicine (TCM) compound formula. These nanoparticles are predicted to be useful in the treatment of osteoporosis. Synthesis of tetracycline targeting groups was performed by acylation reaction, and PLGA nanoparticles were prepared by the Emulsification-solvent Evaporation Method. The appearance and particle size of the product were evaluated, and the effects of nanoparticles on the physiological activities of osteoblasts were observed. Finally, the bone-targeting ability of targeted nanoparticles in vivo and in vitro was investigated. The average particle size of the nanoparticles was about 200 nm, and the average drug entrapment was 60%. In vitro evaluation of osteoblasts assay showed that the nanoparticles can be well taken by cells. Their good biocompatibility and sustained-release properties reduce the toxic side effects of drugs when they promote osteoblasts' physiological activities. The results of the in vitro and in vivo bone targeting ability assays showed that tetracycline modified nanoparticles could effectively accumulate in the bone, indicating the great bone-targeting ability of the nanoparticles. The use of PLGA to load active components in the TCM compound formulas and remodel targeting groups is expected to improve drug efficacy, reduce drug dosage, and effects on non- action sites. This may provide new ideas for the development of TCM compound dosage forms. In summary, we prepared PLGA nanoparticles of multiple TCM ingredients with bone targeting ability, and they had good morphological appearance, and a promoting effect on various physiological activities of osteoblasts.

Methyl rosmarinate is an allosteric inhibitor of SARS-CoV-2 3 CL protease as a potential candidate against SARS-cov-2 infection

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been ongoing for more than three years and urgently needs to be addressed. Traditional Chinese medicine (TCM) prescriptions have played an important role in the clinical treatment of patients with COVID-19 in China. However, it is difficult to uncover the potential molecular mechanisms of the active ingredients in these TCM prescriptions. In this paper, we developed a new approach by integrating the experimental assay, virtual screening, and the experimental verification, exploring the rapid discovery of active ingredients from TCM prescriptions. To achieve this goal, 4 TCM prescriptions in clinical use for different indications were selected to find the antiviral active ingredients in TCMs. The 3-chymotrypsin-like protease (3CLpro), an important target for fighting COVID-19, was utilized to determine the inhibitory activity of the TCM prescriptions and single herb. It was found that 10 single herbs had better inhibitory activity than other herbs by using a fluorescence resonance energy transfer (FRET) - based enzymatic assay of SARS-CoV-2 3CLpro. The ingredients contained in 10 herbs were thus virtually screened and the predicted active ingredients were experimentally validated. Thus, such a research strategy firstly removed many single herbs with no inhibitory activity against SARS-CoV-2 3CLpro at the very beginning by FRET-based assay, making our subsequent virtual screening more effective. Finally, 4 active components were found to have stronger inhibitory effects on SARS-CoV-2 3CLpro, and their inhibitory mechanism was subsequently investigated. Among of them, methyl rosmarinate as an allosteric inhibitor of SARS-CoV-2 3CLpro was confirmed and its ability to inhibit viral replication was demonstrated by the SARS-CoV-2 replicon system. To validate the binding mode via docking, the mutation experiment, circular dichroism (CD), enzymatic inhibition and surface plasmon resonance (SPR) assay were performed, demonstrating that methyl rosmarinate bound to the allosteric site of SARS-CoV-2 3CLpro. In conclusion, this paper provides the new ideas for the rapid discovery of active ingredients in TCM prescriptions based on a specific target, and methyl rosmarinate has the potential to be developed as an antiviral therapeutic candidate against SARS-CoV-2 infection.

Acetylcholine Analog-Modified Albumin Nanoparticles for the Enhanced and Synchronous Brain Delivery of Saponin Components of Panax Notoginseng.

Panax notoginseng saponins (PNS) are commonly used first-line drugs for treating cerebral thrombosis and stroke in China. However, the synchronized and targeted delivery of active ingredients in traditional Chinese medicine (TCM) poses a significant challenge for modern TCM formulations. Bovine serum albumin (BSA) was modified using 2-methacryloyloxyethyl phosphorylcholine (MPC), an analog of acetylcholine, and subsequently adsorbed the major PNS onto the modified albumin to produce MPC-BSA@PNS nanoparticles (NPs). This novel delivery system facilitated efficient and synchronized transport of PNS across the blood-brain barrier (BBB) through active transport mediated by nicotinic acetylcholine receptors. In vitro experiments demonstrated that the transport rates of R1, Rg1, Rb1, and Rd across the BBB were relatively synchronous in MPC-BSA@PNS NPs compared to those in the PNS solution. Additionally, animal experiments revealed that the brain-targeting efficiencies of R1 + Rg1 + Rb1 in MPC-BSA@PNS NPs were 2.02 and 7.73 times higher than those in BSA@PNS NPs and the free PNS group, respectively. This study presents a simple and feasible approach for achieving the targeted delivery of complex active ingredient clusters in TCM.

Physcion inhibition of CYP2C9, 2D6 and 3A4 in human liver microsomes

Context The effect of the active ingredients in traditional Chinese medicines on the activity of cytochrome P450 enzymes (CYP450s) is a critical factor that should be considered in TCM prescriptions. Physcion, the major active ingredient of Rheum spp. (Polygonaceae), possesses wide pharmacological activities. Objectives The effect of physcion on CYP450 activity was investigated to provide a theoretical basis for use. Materials and methods The experiments were conducted in pooled human liver microsomes (HLMs). The activity of CYP450 isoforms was evaluated with corresponding substrates and probe reactions. Blank HLMs were set as negative controls, and typical inhibitors were employed as positive controls. The inhibition model was fitted with Lineweaver Burk plots. The concentration (0, 2.5, 5, 10, 25, 50 and 100 μM physcion) and time-dependent (0, 5, 10, 15 and 30 min) effects of physcion were also assessed. Results Physcion suppressed CYP2C9, 2D6 and 3A4 in a concentration-dependent manner with IC50 values of 7.44, 17.84 and 13.50 μM, respectively. The inhibition of CYP2C9 and 2D6 was competitive with the Ki values of 3.69 and 8.66 μM, respectively. The inhibition of CYP3A4 was non-competitive with a Ki value of 6.70 μM. Additionally, only the inhibition of CYP3A4 was time-dependent with the KI and Kinact parameters of 3.10 μM−1 and 0.049 min−1, respectively. Conclusions The inhibition of CYP450s by physcion should be considered in its clinical prescription, and the study design can be employed to evaluate the interaction of CYP450s with other herbs.

Three-tiered authentication of herbal traditional Chinese medicine ingredients used in women's health provides progressive qualitative and quantitative insight.

Traditional Chinese Medicine (TCM) herbal products are increasingly used in Europe, but prevalent authentication methods have significant gaps in detection. In this study, three authentication methods were tested in a tiered approach to improve accuracy on a collection of 51 TCM plant ingredients obtained on the European market. We show the relative performance of conventional barcoding, metabarcoding and standardized chromatographic profiling for TCM ingredients used in one of the most diagnosed disease patterns in women, endometriosis. DNA barcoding using marker ITS2 and chromatographic profiling are methods of choice reported by regulatory authorities and relevant national pharmacopeias. HPTLC was shown to be a valuable authentication tool, combined with metabarcoding, which gives an increased resolution on species diversity, despite dealing with highly processed herbal ingredients. Conventional DNA barcoding as a recommended method was shown to be an insufficient tool for authentication of these samples, while DNA metabarcoding yields an insight into biological contaminants. We conclude that a tiered identification strategy can provide progressive qualitative and quantitative insight in an integrative approach for quality control of processed herbal ingredients.

TIRPnet: Risk prediction of traditional Chinese medicine ingredients based on a deep neural network

Ethnopharmacological relevanceTraditional Chinese medicine (TCM) has a history of over 3000 years of medical practice. Due to the complex ingredients and unclear pharmacological mechanism of TCM, it is very difficult to predict its risks. With the increase in the number and severity of spontaneous reports of adverse drug reactions (ADRs) of TCM, its safety has received widespread attention. Aim of the studyIn this study, we proposed a framework based on deep learning to predict the probability of adverse reactions caused by TCM ingredients and validated the model using real-world data. Materials and methodsThe spontaneous reporting data from Jiangsu Province of China was selected as the research data, which included 72,561 ADR reports of TCMs. All the ingredients of these TCMs were collected from the medical website and correlated with the corresponding ADRs. Then, a risk prediction model was constructed based on a deep neural network (DNN), named TIRPnet. Based on one-hot encoded data, our model achieved the optimal performance by fine-tuning some hyperparameters. The ten most commonly used TCM ingredients and their ADRs were collected as the test set to evaluate their performance as objective criteria. ResultsTIRPnet was constructed as a 7-layer DNN. The experimental results showed that TIRPnet performs excellently in all indicators, with a sensitivity of 0.950, specificity of 0.995, accuracy of 0.994, precision of 0.708, and F1 of 0.811. ConclusionsThe proposed TIRPnet owns the ability to predict the ADRs of a single TCM ingredient by learning a large number of TCM-related spontaneous reports, which can help doctors design safe prescriptions and provide technical support for the pharmacovigilance of TCM.

High-resolution Tandem Mass Spectrometry for Studying Chemical Constituents of Gynura bicolor DC.

The separation and analysis of the desired chemical components are important subjects for the fundamental research of traditional Chinese medicine (TCM). Ultra-high-performance liquid chromatography quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MS/MS) has gradually become a leading technology for the identification of TCM ingredients. Gynura bicolor DC. (BFH), a perennial stemless herb used for medicine and food in China has medicinal effects such as clearing heat, moistening the lung, relieving cough, dispersing stasis, and relieving swelling. Polyphenols and flavonoids contain numerous isomers, which hinder the identification of the complex compounds in BFH. This paper presents a systematic protocol for studying chemical constituents of BFH based on solvent extraction and integrated data via UPLC-Q-TOF-MS. The method described here includes systematic protocols for sample pretreatment, MS calibration, MS acquisition, data processing, and analysis of results. Sample pretreatment includes collection, cleaning, drying, crushing, and extraction. MS calibration consists of multipoint and single-point correction. Data processing includes data importing, method establishment, analysis processing, and result presentation. Representative results of the typical fragmentation pattern of phenolic acids, esters, and glycosides in Gynura bicolor DC. (BFH) are presented in this paper. In addition, organic solvent selection, extraction, data integration, collision energy selection, and method improvement are discussed in detail. This universal protocol can be widely used to identify complex compounds in TCM.

Research advances of Zanthoxylum bungeanum Maxim. polyphenols in inflammatory diseases.

Zanthoxylum bungeanum Maxim., commonly known as Chinese prickly ash, is a well-known spice and traditional Chinese medicine ingredient with a rich history of use in treating inflammatory conditions. This review provides a comprehensive overview of the botanical classification, traditional applications, and anti-inflammatory effects of Z. bungeanum, with a specific focus on its polyphenolic components. These polyphenols have exhibited considerable promise, as evidenced by preclinical studies in animal models, suggesting their therapeutic potential in human inflammatory diseases such as ulcerative colitis, arthritis, asthma, chronic obstructive pulmonary disease, cardiovascular disease, and neurodegenerative conditions. This positions them as a promising class of natural compounds with the potential to enhance human well-being. However, further research is necessary to fully elucidate their mechanisms of action and develop safe and effective therapeutic applications.

Effect of traditional Chinese medicine in osteosarcoma: Cross-interference of signaling pathways and potential therapeutic targets.

Osteosarcoma (OS) has a high recurrence rate, disability rate, mortality and metastasis, it brings great economic burden and psychological pressure to patients, and then seriously affects the quality of life of patients. At present, the treatment methods of OS mainly include radiotherapy, chemotherapy, surgical therapy and neoadjuvant chemotherapy combined with limb salvage surgery. These treatment methods can relieve the clinical symptoms of patients to a certain extent, and also effectively reduce the disability rate, mortality and recurrence rate of OS patients. However, because metastasis of tumor cells leads to new complications, and OS cells become resistant with prolonged drug intervention, which reduces the sensitivity of OS cells to drugs, these treatments still have some limitations. More and more studies have shown that traditional Chinese medicine (TCM) has the characteristics of "multiple targets and multiple pathways," and can play an important role in the development of OS through several key signaling pathways, including PI3K/AKT, Wnt/β-catenin, tyrosine kinase/transcription factor 3 (JAK/STAT3), Notch, transforming growth factor-β (TGF-β)/Smad, nuclear transcription factor-κB (NF-κB), mitogen-activated protein kinase (MAPK), nuclear factor E2-related factor 2 (Nrf2), Hippo/YAP, OPG/RANK/RANKL, Hedgehog and so on. In this paper, the signaling pathways of cross-interference between active ingredients of TCM and OS were reviewed, and the development status of novel OS treatment was analyzed. The active ingredients in TCM can provide therapeutic benefits to patients by targeting the activity of signaling pathways. In addition, potential strategies for targeted therapy of OS by using ferroptosis were discussed. We hope to provide a unique insight for the in-depth research and clinical application of TCM in the fields of OS growth, metastasis and chemotherapy resistance by understanding the signaling crosstalk between active ingredients in TCM and OS.

Combinational Antitumor Strategies Based on the Active Ingredients of Toad Skin and Toad Venom.

A multidrug combination strategy is an important mean to improve the treatment of cancer and is the mainstream scheme of clinical cancer treatment. The active ingredients of traditional Chinese medicine, represented by toad skin and toad venom, have the advantages of high efficiency, low toxicity, wide action and multiple targets and have become ideal targets in combined treatment strategies for tumors in recent years. Toad skin and toad venom are traditional Chinese animal medicines derived from Bufo bufo gargarizans Cantor or Bufo melanostictus Schneider that have shown excellent therapeutic effects on the treatment of various cancers and cancer pain as adjuvant antitumor drugs in clinical practice. The involved mechanisms include inducing apoptosis, arresting the cell cycle, inhibiting cell proliferation, migration and invasion, inhibiting tumor angiogenesis, reversing the multidrug resistance of tumor cells, and regulating multiple signaling pathways and targets. Moreover, a multidrug combination strategy based on a nanodelivery system can realize the precise loading of the active ingredients of toad skin or toad venom and other antitumor drugs and carry drugs to overcome physiological and pathological barriers, complete efficient enrichment in tumor tissues, and achieve targeted delivery to tumor cells and the controlled release of drugs, thus enhancing antitumor efficacy and reducing toxicity and side effects. This article reviewed the clinical efficacy and safety of the combination of toad skin and toad venom with chemotherapeutic drugs, targeted drugs, analgesics and other drugs; evaluated the effects and mechanisms of the combination of toad skin and toad venom with chemotherapy, targeted therapy, radiotherapy or hyperthermia, traditional Chinese medicine, signaling pathway inhibitors and other therapies in cell and animal models; and summarized the codelivery strategies for the active ingredients of toad skin and toad venom with chemotherapeutic drugs, small-molecule targeted drugs, monoclonal antibodies, active ingredients of traditional Chinese medicine, and photodynamic and photothermal therapeutic drugs to provide a basis for the rational drug use of toad skin and toad venom in the clinic and the development of novel drug delivery systems.

Investigation of the whitening activity of ginsenosides from Panax notoginseng and optimization of the dosage form

BackgroundGinsenoside, as an active ingredient in traditional Chinese medicine, has been widely used for skin whitening for several years. Recent research has found that Panax notoginseng has a higher content of ginsenosides compared with the Panax ginseng. Those ginsenosides have promising potential to be developed as skin whitening agents. MethodsWe selected five dammarane ginsenosides isolated from P. notoginseng and their mixtures to investigate the skin lightning activity. Zebrafish embryo model was used for initial screening of the whitening activity. Subsequently, the whitening effect of components was examined and compared via testing the inhibition of melanin and activity of tyrosinase in B16 cells treated with these components. Molecular docking was also applied to investigate the interactions between ginsenosides and tyrosinase. Finally, the most effective saponins were selected for dosage form optimization and the whitening effect of saponin-loaded ethosomes was further demonstrated on the C57BL/6 mouse model. ResultsExperimental results showed that the protopanaxtriol saponins (PTS) were the most potent saponins with a decent safety profile, and the molecule docking results demonstrated that PTS had strong inhibitory ability to tyrosinase. PTS was successfully encapsulated into ethosomes with an encapsulation efficiency of 93%. The PTS ethosome gel could effectively inhibit the melanin production caused by UVB tanning on the back skin of mice. ConclusionThe PTS ethosome gel provides an effective and safe formulation of PTS to whiten the UVB-tanned skin in vivo and could be used as a potential skin whitening agent in the future.

Immuno-modulatory role of baicalin in atherosclerosis prevention and treatment: current scenario and future directions.

Atherosclerosis (AS) is recognized as a chronic inflammatory condition characterized by the accumulation of lipids and inflammatory cells within the damaged walls of arterial vessels. It is a significant independent risk factor for ischemic cardiovascular disease, ischemic stroke, and peripheral arterial disease. Despite the availability of current treatments such as statins, proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, and lifestyle modifications for prevention, AS remains a leading cause of morbidity and economic burden worldwide. Thus, there is a pressing need for the development of new supplementary and alternative therapies or medications. Huangqin (Scutellaria baicalensis Georgi. [SBG]), a traditional Chinese medicine, exerts a significant immunomodulatory effect in AS prevention and treatment, with baicalin being identified as one of the primary active ingredients of traditional Chinese medicine. Baicalin offers a broad spectrum of pharmacological activities, including the regulation of immune balance, antioxidant and anti-inflammatory effects, and improvement of lipid metabolism dysregulation. Consequently, it exerts beneficial effects in both AS onset and progression. This review provides an overview of the immunomodulatory properties and mechanisms by which baicalin aids in AS prevention and treatment, highlighting its potential as a clinical translational therapy.

AI empowering traditional Chinese medicine?

For centuries, Traditional Chinese Medicine (TCM) has been a prominent treatment method in China, incorporating acupuncture, herbal remedies, massage, and dietary therapy to promote holistic health and healing. TCM has played a major role in drug discovery, with over 60% of small-molecule drugs approved by the FDA from 1981 to 2019 being derived from natural products. However, TCM modernization faces challenges such as data standardization and the complexity of TCM formulations. The establishment of comprehensive TCM databases has significantly improved the efficiency and accuracy of TCM research, enabling easier access to information on TCM ingredients and encouraging interdisciplinary collaborations. These databases have revolutionized TCM research, facilitating advancements in TCM modernization and patient care. In addition, advancements in AI algorithms and database data quality have accelerated progress in AI for TCM. The application of AI in TCM encompasses a wide range of areas, including herbal screening and new drug discovery, diagnostic and treatment principles, pharmacological mechanisms, network pharmacology, and the incorporation of innovative AI technologies. AI also has the potential to enable personalized medicine by identifying patterns and correlations in patient data, leading to more accurate diagnoses and tailored treatments. The potential benefits of AI for TCM are vast and diverse, promising continued progress and innovation in the field.

Quercetin relieves coronary atherosclerosis via regulating fibroblast growth factor 2.

This study aims to investigate the role of quercetin in coronary atherosclerosis and explore its possible mechanisms. Hematoxylin-eosin (H&E), immunohistochemical (IHC), and aniline blue staining were used to analyze the pathological changes in the cross-section of the aorta. Traditional Chinese Medicine Systems Pharmacology Database (TCMSP), Swiss Target Prediction, and PubChem were utilized to predict and screen the bioactive ingredients of traditional Chinese medicine (Huanglian, Yuxingcao, and Jinyinhua) for coronary atherosclerosis. Inflammatory factors and vascular protection parameters were quantitatively detected using ELISA and western blot. The proliferation and migration of vascular smooth muscle cells (VSMC) were evaluated using the Cell Counting Kit-8 (CCK-8), 5-ethynyl-2-deoxyuridine (EdU), and wound healing assays. The targets of quercetin were predicted using DisGeNET, Matascape, SWISSMODEL, cellular thermal shift assay (CETSA), and fluorescence titrimetric methods. Based on our findings, quercetin was identified as the active component of Huanglian, Yuxingcao, and Jinyinhua that exerted a positive effect on coronary atherosclerosis. In vivo and in vitro data demonstrated that quercetin improved the pathological changes in model mice and inhibited the proliferation, migration, and inflammatory response of VSMC cells. Specifically, we found that fibroblast growth factor 2 (FGF2) is a direct target of quercetin, and overexpression of FGF2 attenuated the anti-atherosclerosis function of quercetin. Overall, our study confirms the functional role of the quercetin-FGF2 axis in the progression of coronary atherosclerosis, providing a potential target for its treatment.

Therapeutic effect and metabolic fingerprinting of triple-negative breast cancer cells following exposure to a novel pH-responsive, gambogic acid-loaded micelle

Triple-negative breast cancer (TNBC) is a subtype of breast cancer with a poor prognosis and lacks effective therapeutic targets. The use of gambogic acid (GA), a class of active ingredients in traditional Chinese medicine with anti-tumour potential, is limited in tumour therapy owing to its drawbacks and unclear organ toxicity. In this study, we used the pH-responsive amphiphilic block copolymer, PEOz-PCL, to create nanodrugs for GA delivery to MDA-MB-231 cells. The pH-responsive GA-loaded micelles were prepared through nanoprecipitation with a more homogeneous size. The average particle size was 42.29 ± 1.74 nm, and the zeta potential value was 9.88 ± 0.17 mV. The encapsulation rate was 85.06%, and the drug loading rate was 10.63%. The process was reproducible, and sustained release reached 80% in 96 h at acid pH 5.0. Furthermore, cellular tests using CCK-8, TUNEL, and flow cytometry revealed that pH-responsive GA-loaded micelles killed MDA-MB-231 cells more effectively and had much higher activity and targeting compared with free drugs. Metabolomic analysis of the changes in differential metabolites revealed that pH-responsive GA-loaded micelles may inhibit TNBC cells by causing amino acid anabolism, nucleotide metabolism, and glucose metabolism, as well as by affecting their energy sources. The study outcomes will help understand the mechanism of action and the therapeutic efficacy of pH-responsive GA-loaded micelles in vivo.

Near-infrared-responsive GE11-CuS@Gal nanoparticles as an intelligent drug release system for targeting therapy against oral squamous cell carcinoma

Galangin (Gal) is a natural plant flavonoid. More and more evidence shows that Gal can achieve anti-tumor effects by regulating various mechanisms. However, its poor water solubility, low bioavailability, and insufficient lesion targeting limit its clinical application. To overcome these shortcomings, we designed and developed a mesoporous nanosystem (GE11-CuS) that actively located the target area and photo-controlled drug release, which promoted the rapid accumulation of drugs in tumor tissues under NIR irradiation, thus achieving positive effects against cancer. In this study, we explored the application of the Gal-loaded nanometer system (GE11-CuS@Gal) in the treatment of oral squamous cell carcinoma (OSCC) both in vitro and in vivo. The results exhibited that GE11-CuS@Gal had excellent targeting ability and could accumulate efficiently in tumor cells (HSC-3). Meanwhile, the temperature of GE11-CuS@Gal increasing rapidly under NIR illumination damaged the integrity of the carrier and allowed Gal molecules to escape from the pores of the nanoparticles. When the accumulation of Gal in the nidus reached a certain level, the intracellular ROS level could be significantly increased and the antioxidative stress pathway mediated by Nrf2/OH-1 was effectively blocked, to inhibit the growth and migration of tumors. In conclusion, the GE11-CuS improved the antitumor activity of Gal in the body, which laid a foundation for the treatment of OSCC with traditional Chinese medicine ingredients.

Experimental research progress in traditional Chinese medicine prevention and treatment of diabetic peripheral neuropathy based on autophagy

Diabetic peripheral neuropathy(DPN) is a chronic complication resulted from peripheral nerve injury in the late stage of diabetes. It involves a variety of pathological changes such as oxidative stress, endoplasmic reticulum stress, neuroinflammation, and apoptosis of Schwann cells(SCs). DPN is the main factor leading to lower limb disability or amputation in diabetic patients, with high incidence, long disease course, and poor prognosis. The modern medicine treatment of DPN mainly focuses on controlling blood glucose and improving microcirculation and nerve nutrition, which can only mitigate the clinical symptoms and not fundamentally reverse the pathological changes of peripheral nerves. Autophagy is a self-clearing mechanism that maintains cellular homeostasis by removing excess metabolites. Traditional Chinese medicine(TCM), featuring the holistic concept and syndrome differentiation, can treat chronic diseases in a multi-target, multi-pathway, and wide-range manner. Modern studies have shown that the occurrence and development of DPN are related to a variety of pathological changes, and autophagy is a key mechanism associated with DPN. The environment with persistent high glucose can lead to the inhibition or over-activation of peripheral nerve cells, which causes irreversible damage of nerve cells and the occurrence and development of DPN. Therefore, restoring autophagy balance and reducing nerve damage is one of the key ways to treat DPN. The recent studies have confirmed that some active ingredients in traditional Chinese medicines and TCM compound prescriptions can inhibit the oxidative stress, endoplasmic reticulum stress, mitochondrial damage, inflammation, and apoptosis of SCs in DPN by regulating the autophagy pathway, thus playing a role in the prevention and treatment of DPN. However, the systematic induction in this field remains to be carried out. This paper reviewed the relevant literature, explained the mechanism of TCM in the prevention and treatment of DPN by regulating autophagy, and summarized the potential targets of TCM in the treatment of DPN, with a view to providing new ideas for clinical research and drug development.