Discovery of anti-inflammatory natural flavonoids: Diverse scaffolds and promising leads for drug discovery

Privileged natural product compound classes for anti-inflammatory drug development

Covering: up to early 2025Privileged compound classes of anti-inflammatory natural products are those where there are many reported members that possess anti-inflammatory properties. The identification of these classes is of particular relevance to drug discovery, as they could serve as valuable starting points in developing effective and safe anti-inflammatory agents. The privileged compound classes of natural products include the polyphenols, coumarins, labdane diterpenoids, sesquiterpene lactones, isoquinoline and indole alkaloids, each offering a variety of molecular scaffolds and functional groups that enable diverse interactions with biological targets. From a medicinal chemistry point of view, natural products are both a boon and a bane. The multi-targeting nature of natural products is a boon in the treatment of multi-factorial diseases such as inflammation, but promiscuity, poor potency and pharmacokinetic properties are significant hurdles that must be addressed to ensure these compounds can be effectively used as therapeutics. In addition, there are continued controversies regarding the efficacies of some of these natural products that will continue to polarise their use. In this review, examples of natural products of six privileged compound classes will be discussed for their potential use and possible further development as anti-inflammatory drugs.

Integration of active ingredients from traditional Chinese medicine with nano-delivery systems for tumor immunotherapy

Tumor immune escape presents a significant challenge in cancer treatment, characterized by the upregulation of immune inhibitory molecules and dysfunction of immune cells. Tumor immunotherapy seeks to restore normal anti-tumor immune responses to control and eliminate tumors effectively. The active ingredients of traditional Chinese medicine (TCM) demonstrate a variety of anti-tumor activities and mechanisms, including the modulation of immune cell functions and inhibiting tumor-related suppressive factors, thereby potentially enhancing anti-tumor immune responses. Furthermore, nano-delivery systems function as efficient carriers to enhance the bioavailability and targeted delivery of TCM active ingredients, augmenting therapeutic efficacy. This review comprehensively analyzes the impact of TCM active ingredients on the immune system and explores the synergistic application of nano-delivery systems in combination with TCM active ingredients for enhancing tumor immunotherapy.

Gut Microbiota: A Modulator and Therapeutic Target for Chronic Pain

Chronic pain is a prevalent condition, impacting nearly one-fifth of the global population. Despite the availability of various clinical treatments, each comes with inherent limitations, and few offer a complete cure, resulting in a significant social and economic burden. Therefore, it is important to determine the pathogenesis and causes of chronic pain. Numerous studies have shown a close link between the intestinal microflora and chronic pain. The gut microbiota can exert their effects on chronic pain through both central and peripheral mechanisms and is able to communicate with the brain through its own components or metabolites. They also can regulate chronic pain by affecting pro- and anti-inflammatory cells. This review is aimed at reviewing the connection between gut flora and different types of chronic pain, including visceral pain, neuropathic pain, inflammatory pain, musculoskeletal pain, migraine, and chronic cancer pain; exploring the central and peripheral mechanisms of the influence of gut flora on chronic pain; and attempting to provide novel treatment options for chronic pain, that is, the gut microbiota can be regulated by probiotics, fecal microbial transplantation, and natural products to treat chronic pain. By examining the intricate relationship between gut flora and chronic pain, the review sought to pave the way for new treatment strategies that target the gut microbiota, offering hope for more effective pain management.

Multitarget Natural Compounds for Ischemic Stroke Treatment: Integration of Deep Learning Prediction and Experimental Validation

Ischemic stroke's complex pathophysiology demands therapeutic approaches targeting multiple pathways simultaneously, yet current treatments remain limited. We developed an innovative drug discovery pipeline combining a deep learning approach with experimental validation to identify natural compounds with comprehensive neuroprotective properties. Our computational framework integrated SELFormer, a transformer-based deep learning model, and multiple deep learning algorithms to predict NC bioactivity against seven crucial stroke-related targets (ACE, GLA, MMP9, NPFFR2, PDE4D, and eNOS). The pipeline encompassed IC50 predictions, clustering analysis, quantitative structure-activity relationship (QSAR) modeling, and uniform manifold approximation and projection (UMAP)-based bioactivity profiling followed by molecular docking studies and experimental validation. Analysis revealed six distinct NC clusters with unique molecular signatures. UMAP projection identified 11 medium-activity (6 < pIC50 ≤ 7) and 57 high-activity (pIC50 > 7) compounds, with molecular docking confirming strong correlations between binding energies and predicted pIC50 values. In vitro studies using NGF-differentiated PC12 cells under oxygen-glucose deprivation demonstrated significant neuroprotective effects of four high-activity compounds: feruloyl glucose, l-hydroxy-l-tryptophan, mulberrin, and ellagic acid. These compounds enhanced cell viability, reduced acetylcholinesterase activity and lipid peroxidation, suppressed TNF-α expression, and upregulated BDNF mRNA levels. Notably, mulberrin and ellagic acid showed superior efficacy in modulating oxidative stress, inflammation, and neurotrophic signaling. This study establishes a robust deep learning-driven framework for identifying multitarget natural therapeutics for ischemic stroke. The validated compounds, particularly mulberrin and ellagic acid, are promising for stroke treatment development. Our findings demonstrate the effectiveness of integrating computational prediction with experimental validation in accelerating drug discovery for complex neurological disorders.

Utilization of natural products in diverse pathogeneses of diseases associated with single or double DNA strand damage repair

The appearance of DNA damage often involves the participation of related enzymes, which can affect the onset and development of various diseases. Several natural active compounds have been found to efficiently adjust the activity of crucial enzymes associated with single or double-strand DNA damage, thus demonstrating their promise in treating diseases. This paper provides an in-depth examination and summary of these modulation mechanisms, leading to a thorough review of the subject. The connection between natural active compounds and disease development is explored through an analysis of the structural characteristics of these compounds. By reviewing how different scholarly sources describe identical structures using varied terminology, this study also delves into their effects on enzyme regulation. This review offers an in-depth examination of how natural active compounds can potentially be used therapeutically to influence key enzyme activities or expression levels, which in turn can affect the process of DNA damage repair (DDR). These natural compounds have been shown to not only reduce the occurrence of DNA damage but also boost the efficiency of repair processes, presenting new therapeutic opportunities for conditions such as cancer and other disease pathologies. Future research should focus on clarifying the exact mechanisms of these compounds to maximize their clinical utility and support the creation of novel approaches for disease prevention and treatment.

A holistic strategy for the in-depth discrimination and authentication of 16 citrus herbs and associated commercial products based on machine learning techniques and non-targeted metabolomics

Citrus-derived raw medicinal materials are frequently used for health care, flavoring, and therapeutic purposes. However, Due to similarities in origin or appearance, citrus herbs are often misused in the market, necessitating effective differentiation methods. For the first time, this study constructed automated discrimination models for 16 citrus species (239 batches) while previous studies focused on a limited number of species. Seven machine learning models -Tree, Discriminant, Support Vector Machine, K-Nearest Neighbor, Ensemble, Neural Network, and Partial least squares discriminant analysis-were compared, with the Ensemble model achieving 100% accuracy in the test set. 16 Orthogonal partial least squares discriminant analysis models were constructed to screen and identify 53 differential markers. These markers were successfully utilized to determine the absence or presence of specified components in the 20 citrus products. This study provides a comprehensive solution for the quality control of citrus herbs, enabling the differentiation of raw herbs and processed slices, as well as the identification of complex systems such as Chinese patent medicines.

Targeting the cholinergic anti-inflammatory pathway: an innovative strategy for treating diseases

The cholinergic anti-inflammatory pathway (CAP) is comprised of the vagus nerve, acetylcholine, nicotinic acetylcholine receptors, the spleen, and the splenic nerve. It represents a sophisticated neuroimmune axis that critically regulates the crosstalk between the nervous system and the immune response via the vagus nerve. Here, we provided a nuanced exploration of the CAP's role in curbing inflammatory processes and its broad therapeutic potential across a spectrum of diseases. We meticulously dissect the intricate mechanisms by which the CAP modulates key signaling cascades, including the NF-κB, JAK2/STAT3, MAPK/ERK, PI3K/AKT, COX2/PGE2, and NRF2/HO-1 pathways, which are quintessential in the pathogenesis of various conditions. Additionally, we also summarized the CAP's profound implications in the management of inflammatory diseases, neurodegenerative disorders, metabolic syndromes, and oncological malignancies, elucidating its capacity to mitigate disease severity and progression through sophisticated immune modulation. The modulation of the CAP is suggested as a novel strategy that could potentially transform treatment approaches for a variety of conditions. However, the precise cellular and molecular underpinnings of the CAP's effects, as well as its translatability to clinical settings, remain subjects of ongoing investigation. The review calls for further research to demystify the mechanisms of the CAP and to harness its therapeutic potential fully, with the aim of developing innovative and efficacious treatment modalities that exploit the pathway's unique attributes.

Virtual screening assisted identification of a phytocompound as potent inhibitor against Candida lusitaniae; an in-silico study

Candida lusitaniae is one of the fungal species which causes serious health illnesses including peritonitis, vaginitis and fungemia, among others. Several antifungal drugs have been designed to tackle its infections but their efficacy is still questionable due to their associated side effects. Hence, there is a need to design those drugs which possess comparatively higher degree of therapeutic potential. Phytochemicals were selected in this regard because these compounds which satisfactorily follow this criteria as, their therapeutic index is comparatively larger than the synthetic drugs. Considering this fact, different phyto-compounds were opted in this research work to estimate their therapeutic efficiency against the secreted aspartyl proteinase (SAP) of C. lusitaniae since, it assists this pathogen in developing the infections. Initially, the structure of SAP was modelled for subsequent docking analysis. The results of molecular docking suggested that three compounds, opelconazole, daidzin 4'0-glucuronide and naringin exhibited better docking scores. Afterwards, ADME analysis of all these four compounds was performed to comprehend their drug-likeness attributes. The results of ADME analysis revealed that only the daidzin 4'0-glucuronide followed all the required parameters. Lastly, MD simulations were conducted in which top three compounds in context of docking scores along three approved anti-fungal drugs in complex with SAP were incorporated for the comparative analysis. The overall results of MD simulations suggested that daidzin 4'0-glucuronide exhibited comparatively better results. This outcome indicated that this particular compound not only showed better binding affinity with SAP during docking analysis and fulfilled all of the drug-likeness moieties among other compounds but also, displayed better simulation results, leading to a conclusion that daidzin 4'0-glucuronide could be a potential drug candidate against C. lusitaniae. However, its real-time efficacy could only be validated in clinical settings.

The role of artificial intelligence in drug screening, drug design, and clinical trials

The role of computational tools in drug discovery and development is becoming increasingly important due to the rapid development of computing power and advancements in computational chemistry and biology, improving research efficiency and reducing the costs and potential risks of preclinical and clinical trials. Machine learning, especially deep learning, a subfield of artificial intelligence (AI), has demonstrated significant advantages in drug discovery and development, including high-throughput and virtual screening, ab initio design of drug molecules, and solving difficult organic syntheses. This review summarizes AI technologies used in drug discovery and development, including their roles in drug screening, design, and solving the challenges of clinical trials. Finally, it discusses the challenges of drug discovery and development based on AI technologies, as well as potential future directions.

The role and mechanism of "eight famous herbals in Zhejiang" in cancer via network pharmacology and experimental validation

In recent years, some components and active ingredients from the herbal formula "eight famous herbals in Zhejiang" (Zhe-Ba-Wei) have been reported to possess antitumor properties. However, there is still no systemic study on the role and mechanism of Zhe-Ba-Wei in cancer. To systematically investigate the anticancer efficacy of Zhe-Ba-Wei, we first identified 17 reported active ingredients with gene targets associated with various types of tumors. Second, we screened these active ingredients and their responding multiple shared targets by analyzing the convergence of diverse and tumor-specific target sites and identified four crucial active ingredients (ferulic acid, quercetin, rutin, luteolin), which were characterized by 27 overlapping gene targets. Third, these 27 gene targets were subsequently mapped onto the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology term, and among the 27 total potential targets, 12 were involved in plasma membrane function. Fourth, we investigated the binding affinities between the four crucial active ingredients and their potential targets such as EGFR and MET, both of which are well-known oncogenes in various cancers. Subsequently, an investigation of the computational ADMET properties showed that most of these four ingredients exhibited good ADMET properties. Finally, we found that three active ingredients (ferulic acid, luteolin, and quercetin) could inhibit the proliferation of non-small cell lung cancer cells and decrease the protein expression of EGFR in a concentration-dependent manner. All these results shed light on the bioactive components, pharmacological effects, and drug development and utilization of Zhe-Ba-Wei, aiming to provide useful support for its further research and clinical application.

Inhibitory effect of flavonoids on multidrug and toxin extrusion protein 1 function: Implications for food/herb-drug interaction and drug-induced kidney injury

Multidrug and toxin extrusion protein 1 (MATE1), an efflux transporter mainly expressed in renal proximal tubules, mediates the renal secretion of organic cationic drugs. The inhibition of MATE1 will impair the excretion of drugs into the tubular lumen, leading to the accumulation of nephrotoxic drugs in the kidney and consequently potentiating nephrotoxicity. Screening and identifying potent MATE1 inhibitors can predict or minimize the risk of drug-induced kidney injury. Flavonoids, a group of polyphenols commonly found in foodstuffs and herbal products, have been reported to cause transporter-mediated food/herb-drug interactions. Our objective was to investigate the inhibitory effects of flavonoids on MATE1 in vitro and in vivo and to assess the effects of flavonoids on cisplatin-induced kidney injury. Thirteen flavonoids exhibited significant transport activity inhibition (>50%) on MATE1 in MATE1-MDCK cells. Among them, the six strongest flavonoid inhibitors, including irisflorentin, silymarin, isosilybin, sinensetin, tangeretin, and nobiletin, markedly increased cisplatin cytotoxicity in these cells. In cisplatin-induced in vivo renal injury models, irisflorentin, isosilybin, and sinensetin also increased serum creatinine and blood urea nitrogen levels to different degrees, especially irisflorentin, which exhibited the most potent nephrotoxicity with cisplatin. The pharmacophore model indicated that the hydrogen bond acceptors at the 3, 5, and 7 positions may play a critical role in the inhibitory effect of flavonoids on MATE1. Our findings provide helpful information for predicting the potential risks of flavonoid-containing food/herb-drug interactions and avoiding the exacerbation of drug-induced kidney injury via MATE1 mediation.

A review on pharmacological studies of natural flavanone: pinobanksin

Herbal medicinal drugs, or phytotherapy, have historically played a pivotal role in treating human ailments. In the contemporary medical landscape, there is a burgeoning interest in natural products owing to their diverse and health-beneficial components. Among these, bioactive phytochemicals represent a dynamic area of global research. This study focuses on pinobanksin, a potential polyphenolic component identified through meticulous scientific research and purified using advanced chromatographic techniques from various sources, including plants, propolis, and honey. Pinobanksin has emerged as a compelling subject of investigation, exhibiting a spectrum of pharmacological effects. Scientific studies have unveiled its prowess as an anti-oxidant, anti-bacterial, anti-inflammatory, anti-parasitic, anti-mutagenic, anti-proliferative, and anti-angiogenic agent. This literature review systematically synthesizes the existing body of research on pinobanksin, providing a comprehensive overview of its diverse pharmacological activities. In light of its multifaceted pharmacological profile, pinobanksin stands out as a promising scaffold for future drug discovery endeavors. This review not only consolidates the current understanding of pinobanksin's bioactivities but also underscores its potential as a valuable candidate for advancing therapeutic interventions.

Sirtuins as Players in the Signal Transduction of Citrus Flavonoids

Sirtuins (SIRTs) belong to the family of nicotine adenine dinucleotide (NAD+)-dependent class III histone deacetylases, which come into play in the regulation of epigenetic processes through the deacetylation of histones and other substrates. The human genome encodes for seven homologs (SIRT1-7), which are localized into the nucleus, cytoplasm, and mitochondria, with different enzymatic activities and regulatory mechanisms. Indeed, SIRTs are involved in different physio-pathological processes responsible for the onset of several human illnesses, such as cardiovascular and neurodegenerative diseases, obesity and diabetes, age-related disorders, and cancer. Nowadays, it is well-known that Citrus fruits, typical of the Mediterranean diet, are an important source of bioactive compounds, such as polyphenols. Among these, flavonoids are recognized as potential agents endowed with a wide range of beneficial properties, including antioxidant, anti-inflammatory, hypolipidemic, and antitumoral ones. On these bases, we offer a comprehensive overview on biological effects exerted by Citrus flavonoids via targeting SIRTs, which acted as modulator of several signaling pathways. According to the reported studies, Citrus flavonoids appear to be promising SIRT modulators in many different pathologies, a role which might be potentially evaluated in future therapies, along with encouraging the study of those SIRT members which still lack proper evidence on their support.

Bioactive Compounds in Citrus Species with Potential for the Treatment of Chronic Venous Disease: A Review

Chronic venous disease (CVD) significantly impacts global health, presenting a complex challenge in medical management. Despite its prevalence and the burden it places on healthcare systems, CVD remains underdiagnosed and undertreated. This review aims to provide a comprehensive analysis of the bioactive compounds in the Citrus genus, exploring their therapeutic potential in CVD treatment and addressing the gap in current treatment modalities. A narrative review methodology was adopted, focusing on the pharmacological effects of Citrus-derived bioactive compounds, including flavonoids and terpenes. Additionally, the review introduced the DBsimilarity method for analyzing the chemical space and structural similarities among Citrus compounds. The review highlights the Citrus genus as a rich source of pharmacologically active compounds, notably flavonoids and terpenes, which exhibit significant anti-inflammatory, antioxidant, and veno-protective properties. Some of these compounds have been integrated into existing therapies, underscoring their potential for CVD management. The DBsimilarity analysis further identified many clusters of compounds with more than 85% structural similarity. Citrus-derived bioactive compounds offer promising therapeutic potential for managing CVD, showcasing significant anti-inflammatory, antioxidant, and veno-protective effects. The need for further comparative studies, as well as safety and efficacy investigations specific to CVD treatment, is evident. This review underlines the importance of advancing our understanding of these natural compounds and encouraging the development of novel treatments and formulations for effective CVD management. The DBsimilarity method's introduction provides a novel approach to exploring the chemical diversity within the Citrus genus, opening new pathways for pharmacological research.

From genes to systems: The role of food supplementation in the regulation of sepsis-induced inflammation

Systemic inflammation includes a widespread immune response to a harmful stimulus that results in extensive systemic damage. One common example of systemic inflammation is sepsis, which is defined as life-threatening organ dysfunction caused by a dysregulated host response to infection. Under the pro-inflammatory environment of sepsis, oxidative stress contributes to tissue damage due to dysfunctional microcirculation that progressively causes the failure of multiple organs that ultimately triggers death. To address the underlying inflammatory condition in critically ill patients, progress has been made to assess the beneficial effects of dietary supplements, which include polyphenols, amino acids, fatty acids, vitamins, and minerals that are recognized for their immuno-modulating, anticoagulating, and analgesic properties. Therefore, we aimed to review and discuss the contribution of food-derived supplementation in the regulation of inflammation from gene expression to physiological responses and summarize the precedented potential of current therapeutic approaches during systemic inflammation.