Diseases such as cancer, neurological pathologies and chronic pain represent currently unmet needs. The existing pharmacotherapeutic options available for treating these conditions are limited by lack of efficiency and/or side effects. Transient receptor potential vanilloid 1 ion channel emerged as an attractive therapeutic target for developing new analgesic, anti-cancer and antiepileptic agents. Furthermore, various natural ingredients were shown to have affinity for this receptor. The aim of this narrative review was to summarize the diverse natural scaffolds of TRPV1 modulators based on their agonistic/antagonistic properties and to analyze the structure–activity relationships between the ligands and molecular targets based on the results of the existing molecular docking, mutagenesis and in vitro studies. We present here an exhaustive collection of TRPV1 modulators grouped by relevant chemical features: vanilloids, guaiacols, phenols, alkylbenzenes, monoterpenes, sesquiterpenoids, alkaloids, etc. The information herein is useful for understanding the key structural elements mediating the interaction with TRPV1 and how their structural variation impacts the interaction between the ligand and receptor. We hope this data will contribute to the design of novel effective and safe TRPV1 modulators, to help overcome the lack of effective therapeutic agents against pathologies with high morbidity and mortality.

Multiple sclerosis (MS) is a demyelinating, autoimmune disease that affects a large number of young adults. Novel therapies for MS are needed considering the efficiency and safety limitations of current treatments. In our study, we investigated the effects of venlafaxine (antidepressant, serotonin-norepinephrine reuptake inhibitor), risperidone (atypical antipsychotic) and febuxostat (gout medication, xanthine oxidase inhibitor) in the cuprizone mouse model of acute demyelination, hypothesizing an antagonistic effect on TRPA1 calcium channels. Cuprizone and drugs were administered to C57BL6/J mice for five weeks and locomotor activity, motor performance and cold sensitivity were assessed. Mice brains were harvested for histological staining and assessment of oxidative stress markers. Febuxostat and metabolites of venlafaxine (desvenlafaxine) and risperidone (paliperidone) were tested for TRPA1 antagonistic activity. Following treatment, venlafaxine and risperidone significantly improved motor performance and sensitivity to a cold stimulus. All administered drugs ameliorated the cuprizone-induced deficit of superoxide dismutase activity. Desvenlafaxine and paliperidone showed no activity on TRPA1, while febuxostat exhibited agonistic activity at high concentrations. Our findings indicated that all three drugs offered some protection against the effects of cuprizone-induced demyelination. The agonistic activity of febuxostat can be of potential use for discovering novel TRPA1 ligands.

Chronic pain has a high prevalence and a profound impact on patients and society, and its treatment is a real challenge in clinical practice. Ginger is emerging as a promising analgesic—effective against various types of pain and well-tolerated by patients. However, we are just beginning to understand its complex mechanism of action. A good understanding of its mechanism would allow us to fully utilize the therapeutical potential of this herbal medicine as well as to identify a better strategy for treating chronic pain. To provide this information, we searched PubMed, SCOPUS, and Web of Science for in vitro studies or animal experiments investigating the analgesic effect of ginger extract or its components. The analysis of data was carried out in the form of a narrative review. Our research indicates that ginger extract, through its various active ingredients, suppresses the transmission of nociceptive signals while activating the descendent inhibitory pathways of pain.

Pain is one of the most common symptoms experienced by patients. The use of current analgesics is limited by low efficacy and important side effects. Transient receptor potential vanilloid-1 (TRPV1) is a non-selective cation channel, activated by capsaicin, heat, low pH or pro-inflammatory agents. Since TRPV1 is a potential target for the development of novel analgesics due to its distribution and function, we aimed to develop an in silico drug repositioning framework to predict potential TRPV1 ligands among approved drugs as candidates for treating various types of pain. Structures of known TRPV1 agonists and antagonists were retrieved from ChEMBL databases and three datasets were established: agonists, antagonists and inactive molecules (pIC50 or pEC50 < 5 M). Structures of candidates for repurposing were retrieved from the DrugBank database. The curated active/inactive datasets were used to build and validate ligand-based predictive models using Bemis–Murcko structural scaffolds, plain ring systems, flexophore similarities and molecular descriptors. Further, molecular docking studies were performed on both active and inactive conformations of the TRPV1 channel to predict the binding affinities of repurposing candidates. Variables obtained from calculated scaffold-based activity scores, molecular descriptors criteria and molecular docking were used to build a multi-class neural network as an integrated machine learning algorithm to predict TRPV1 antagonists and agonists. The proposed predictive model had a higher accuracy for classifying TRPV1 agonists than antagonists, the ROC AUC values being 0.980 for predicting agonists, 0.972 for antagonists and 0.952 for inactive molecules. After screening the approved drugs with the validated algorithm, repaglinide (antidiabetic) and agomelatine (antidepressant) emerged as potential TRPV1 antagonists, and protokylol (bronchodilator) as an agonist. Further studies are required to confirm the predicted activity on TRPV1 and to assess the candidates’ efficacy in alleviating pain.

Osteoarthritis (OA) is a degenerative joint disease characterized by the breakdown of cartilage and the subsequent inflammation of joint tissues, leading to pain and reduced mobility. Despite advancements in symptomatic treatments, disease-modifying therapies for OA remain limited. This narrative review examines the dual role of autophagy in OA, emphasizing its protective functions during the early stages and its potential to contribute to cartilage degeneration in later stages. By delving into the molecular pathways that regulate autophagy, this review highlights its intricate interplay with oxidative stress and inflammation, key drivers of OA progression. Emerging therapeutic strategies aimed at modulating autophagy are explored, including pharmacological agents such as AMP kinase activators, and microRNA-based therapies. Preclinical studies reveal encouraging results, demonstrating that enhancing autophagy can reduce inflammation and decelerate cartilage degradation. However, the therapeutic benefits of autophagy modulation depend on precise, stage-specific approaches. Excessive or dysregulated autophagy in advanced OA may lead to chondrocyte apoptosis, exacerbating joint damage. This review underscores the promise of autophagy-based interventions in bridging the gap between experimental research and clinical application. By advancing our understanding of autophagy’s role in OA, these findings pave the way for innovative and effective therapies. Nonetheless, further research is essential to optimize these strategies, address potential off-target effects, and develop safe, targeted treatments that improve outcomes for OA patients.

This study evaluated the acute and developmental toxicity of selected hydrotropes, co-solvents, and surfactants commonly used in pharmaceutical and cosmetic formulations, using Artemia salina as a model organism. Two bioassays were employed: a lethality test and a hatching inhibition test. Compounds such as sodium lauryl sulfate (LC₅₀ < 0.05%), sodium xylenesulfonate (LC₅₀ = 0.79%), sodium p-toluensulfonate (LC₅₀ = 0.21%), N,N-dimethylbenzamide (LC₅₀ < 0.05%), and N,N-diethylnicotinamide (LC₅₀ = 0.05%) exhibited high toxicity at 48 h, inducing significant mortality and strong inhibition of hatching. Glycerin, propylene glycol, and dimethyl sulfoxide showed low toxicity across all concentrations. Lethal concentration values confirmed the high toxicity of sodium xylenesulfonate and N,N-dimethylbenzamide, with moderate effects observed for other compounds. The hatching inhibition test proved more sensitive than the lethality test, enabling the detection of embryotoxicity and developmental delays. Although more laborious, it provided detailed information into how the tested substances influenced developmental stage progression. Hierarchical clustering analysis grouped the substances based on toxicity patterns and clearly discriminated highly toxic surfactants from low-toxicity solvents. The results demonstrated that combining both bioassays offers a more comprehensive evaluation of toxicity, with the hatching test being particularly useful for identifying early developmental effects not evident in lethality testing alone.