• Journal of Physiology & Pathology in Korean Medicine
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• v.37 no.1
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• pp.14-18
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• 2023

Jukyeo (竹茹; Bambusae Caulis in Taeniam: BCT) is an herbal medicine made from the inner part of the bamboo stem of Phyllostachys nigra Munro var. henonis Stapf ex Rendle or Phyllostachys bambusoides Siebold et Zuccarini. Although medical literature published in China and Korea decades ago introduced BCT as a remedy for reducing vomiting, fever, and hematemesis, decoctions containing BCT as a main herb (君藥) in Korea have been approved only for treating neurologic symptoms. Here, we discuss the anti-inflammatory function of BCT. Combined with the clinical usage of a BCT-containing decoction in treating inflammatory diseases in Japan, we raise the possibility of repurposing the BCT-containing decoctions for treating inflammatory diseases. The anti-inflammatory activity of BCT was mainly assessed by using RAW 264.7 cells. The regulation of NF-κB, Nrf2 and A20 activities was determined by western blot and quantitative RT-PCR. The list of decoctions containing BCT currently approved in Korea was obtained from the Korean Ministry of Food and Drug Safety (KFDA). BCT suppressed the activity of pro-inflammatory factor NF-κB elicited by LPS, activated an anti-inflammatory factor Nrf2, and induced A20 that is known to block several inflammatory pathways simultaneously, suggesting that BCT can suppress inflammation via at least 3 different pathways. KFDA approved 11 decoctions containing BCT as a major herb, including Gamiondam-tang (加味溫膽湯; GOT), for treating neurologic disorders. Interestingly, Jukyeoondam-tang (竹茹溫膽湯; JOT), whose composition is almost identical to GOT except for one herb, has been used to treat inflammatory pulmonary disorders including Covid-19 pulmonary infection in Japan Given the anti-inflammatory function of BCT evidenced by medical literature and experimental results and the clinical usage of JOT in treating inflammatory pulmonary disorders, we suggest a repurposing and extension of the BCT-containing decoctions approved in Korea to treating inflammatory diseases.

• Genomics & Informatics
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• v.17 no.2
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• pp.15.1-15.7
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• 2019

Automatically detecting mentions of pharmaceutical drugs and chemical substances is key for the subsequent extraction of relations of chemicals with other biomedical entities such as genes, proteins, diseases, adverse reactions or symptoms. The identification of drug mentions is also a prior step for complex event types such as drug dosage recognition, duration of medical treatments or drug repurposing. Formally, this task is known as named entity recognition (NER), meaning automatically identifying mentions of predefined entities of interest in running text. In the domain of medical texts, for chemical entity recognition (CER), techniques based on hand-crafted rules and graph-based models can provide adequate performance. In the recent years, the field of natural language processing has mainly pivoted to deep learning and state-of-the-art results for most tasks involving natural language are usually obtained with artificial neural networks. Competitive resources for drug name recognition in English medical texts are already available and heavily used, while for other languages such as Spanish these tools, although clearly needed were missing. In this work, we adapt an existing neural NER system, NeuroNER, to the particular domain of Spanish clinical case texts, and extend the neural network to be able to take into account additional features apart from the plain text. NeuroNER can be considered a competitive baseline system for Spanish drug and CER promoted by the Spanish national plan for the advancement of language technologies (Plan TL).

• Genomics & Informatics
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• v.21 no.1
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• pp.6.1-6.8
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• 2023

Glaucoma is the second leading cause of irreversible blindness, and primary open-angle glaucoma (POAG) is the most common type. Due to inadequate diagnosis, treatment is often not administered until symptoms occur. Hence, approaches enabling earlier prediction or diagnosis of POAG are necessary. We aimed to identify novel drugs for glaucoma through bioinformatics and network analysis. Data from 36 samples, obtained from the trabecular meshwork of healthy individuals and patients with POAG, were acquired from a dataset. Next, differentially expressed genes (DEGs) were identified to construct a protein-protein interaction (PPI) network. In both stages, the genes were enriched by studying the critical biological processes and pathways related to POAG. Finally, a drug-gene network was constructed, and novel drugs for POAG treatment were proposed. Genes with p < 0.01 and |log fold change| > 0.3 (1,350 genes) were considered DEGs and utilized to construct a PPI network. Enrichment analysis yielded several key pathways that were upregulated or downregulated. For example, extracellular matrix organization, the immune system, neutrophil degranulation, and cytokine signaling were upregulated among immune pathways, while signal transduction, the immune system, extracellular matrix organization, and receptor tyrosine kinase signaling were downregulated. Finally, novel drugs including metformin hydrochloride, ixazomib citrate, and cisplatin warrant further analysis of their potential roles in POAG treatment. The candidate drugs identified in this computational analysis require in vitro and in vivo validation to confirm their effectiveness in POAG treatment. This may pave the way for understanding life-threatening disorders such as cancer.

• Journal of Integrative Natural Science
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• v.16 no.4
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• pp.123-131
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• 2023

Breast cancer continues to pose a substantial worldwide health challenge, thereby requiring the development of innovative strategies to discover new therapeutic interventions. Signal Transducer and Activator of Transcription 3 (STAT-3) has been identified as a significant factor in the development of several types of cancer, including breast cancer. This is primarily attributed to its diverse functions in promoting tumour formation and conferring resistance to therapeutic interventions. This study presents an in silico drug repositioning approach that focuses on identifying specific inhibitors of STAT-3 for the purpose of treating breast cancer. We initially examined the structural and functional attributes of STAT-3, thereby elucidating its crucial involvement in cellular signalling cascades. A comprehensive virtual screening was performed on a diverse collection of drugs that have been approved by the FDA from zinc15 database. Various computational techniques, including molecular docking, cross docking, and cDFT analysis, were utilised in order to prioritise potential candidates. This prioritisation was based on their predicted binding energies and outer molecular orbital reactivity. The findings of our study have unveiled a Dihydroergotamine and Paritaprevir that have been approved by the FDA and exhibit considerable promise as selective inhibitors of STAT-3. In conclusion, the utilisation of our in silico drug repositioning approach presents a prompt and economically efficient method for the identification of potential compounds that warrant subsequent experimental validation as selective STAT-3 inhibitors in the context of breast cancer. The present study highlights the considerable potential of employing computational strategies to expedite the drug discovery process. Moreover, it provides valuable insights into novel avenues for targeted therapeutic interventions in the context of breast cancer treatment.

• Korean Journal of Veterinary Research
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• v.62 no.1
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• pp.3.1-3.7
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• 2022

Disulfiram (DSF) is a marketed drug to treat patients with alcohol dependence by inhibiting aldehyde dehydrogenase. Over the last few decades, DSF has been shown to have anticancer effects through different mechanisms. Moreover, this effect can be elevated when used with copper (Cu). Subsequent studies have been conducted on various cancers, but few on lymphoma. This study investigated the anticancer effects of DSF on lymphoma and how this effect changed when treated with Cu. DSF synergistically decreased the metabolic activity of EL4 lymphoma cells when combined with Cu. At 1 µM of DSF alone, the metabolic activity of EL4 cells decreased by 49% compared to the control, whereas it decreased by 87% with a DSF + CuCl₂ treatment. Rhodamine 123 and 2',7'-dichlorofluorescein diacetate staining showed that DSF induced the reduction of the mitochondrial membrane potential and promoted the production of reactive oxygen species. In particular, the combined treatment of DSF + Cu induced cell death based on multiple assays, including annexin V-fluorescein isothiocyanate/propidium iodide staining. Overall, DSF has anticancer effects on lymphoma cells and exhibits synergistic effects when combined with Cu. This study provides some valuable information to broaden the use of DSF in clinics and basic research.

• Journal of Microbiology and Biotechnology
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• v.33 no.9
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• pp.1179-1188
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• 2023

Escherichia coli, particularly multidrug-resistant (MDR) strains, is a serious cause of healthcare-associated infections. Development of novel antimicrobial agents or restoration of drug efficiency is required to treat MDR bacteria, and the use of natural products to solve this problem is promising. We investigated the antimicrobial activity of dried green coffee (DGC) beans, coffee pulp (CP), and arabica leaf (AL) crude extracts against 28 isolated MDR E. coli strains and restoration of ampicillin (AMP) efficiency with a combination test. DGC, CP, and AL extracts were effective against all 28 strains, with a minimum inhibitory concentration (MIC) of 12.5-50 mg/ml and minimum bactericidal concentration of 25-100 mg/ml. The CP-AMP combination was more effective than CP or AMP alone, with a fractional inhibitory concentration index value of 0.01. In the combination, the MIC of CP was 0.2 mg/ml (compared to 25 mg/ml of CP alone) and that of AMP was 0.1 mg/ml (compared to 50 mg/ml of AMP alone), or a 125-fold and 500-fold reduction, respectively, against 13-drug resistant MDR E. coli strains. Time-kill kinetics showed that the bactericidal effect of the CP-AMP combination occurred within 3 h through disruption of membrane permeability and biofilm eradication, as verified by scanning electron microscopy. This is the first report indicating that CP-AMP combination therapy could be employed to treat MDR E. coli by repurposing AMP.

• Biomolecules & Therapeutics
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• v.28 no.5
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• pp.437-442
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• 2020

Activation of the NLRP3 inflammasome is critical for host defense as well as the progression of inflammatory diseases through the production of the proinflammatory cytokine IL-1β, which is cleaved by active caspase-1. It has been reported that overactivation of the NLRP3 inflammasome contributes to the development and pathology of acne vulgaris. Therefore, inhibiting activation of the NLRP3 inflammasome may provide a new therapeutic strategy for acne vulgaris. In this study, we investigated whether auranofin, an anti-rheumatoid arthritis agent, inhibited NLRP3 inflammasome activation, thereby effectively treating acne vulgaris. Auranofin suppressed NLRP3 inflammasome activation induced by Propionibacterium acnes, reducing the production of IL-1β in primary mouse macrophages and human sebocytes. In a P. acnes-induced acne mouse model, injection of P. acnes into the ears of mice induced acne symptoms such as redness, swelling, and neutrophil infiltration. Topical application of auranofin (0.5 or 1%) to mouse ears significantly reduced the inflammatory symptoms of acne vulgaris induced by P. acnes injection. Topical application of auranofin led to the downregulation of the NLRP3 inflammasome activated by P. acnes in mouse ear skin. These results show that auranofin inhibits the NLRP3 inflammasome, the activation of which is associated with acne symptoms. The results further suggest that topical application of auranofin could be a new therapeutic strategy for treating acne vulgaris by targeting the NLRP3 inflammasome.

• Tuberculosis and Respiratory Diseases
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• v.84 no.4
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• pp.299-316
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• 2021

Background: The lack of effective medications for coronavirus disease 2019 (COVID-19) has led to a trend of drug repurposing such as the case of azithromycin which shows immunomodulatory and anti-viral effect. Several clinical trials have shown conflicting results. It is currently unclear whether the available evidence is in favor or against the use of azithromycin in COVID-19 patients. Thus, the aim of this study was to investigate the efficacy and safety of azithromycin in COVID-19 patients. Methods: Four independent reviewers selected relevant studies from PubMed, ScienceDirect, EBSCO, and ProQuest published prior to March 2021. The protocol used in this study has been registered in PROSPERO (CRD42020224967). Results: We included 17 studies and found that the mortality rate (odds ratio [OR], 0.95; 95% confidence interval [CI], 0.76-1.19), need of respiratory support (OR, 1.30; 95% CI, 0.98-1.73), hospitalization rate (standardized mean difference, 0.12; 95% CI, -0.02 to 0.27), and intensive care unit transfer (OR, 1.21; 95% CI, 0.79-1.86) of azithromycin-treated group did not differ significantly (p>0.05) from those of the control group. Azithromycin treatment did not significantly increase the risk of getting secondary infection (OR, 1.23; 95% CI, 0.83-1.82), hypoglycemia (OR, 0.73; 95% CI, 0.38-1.40), gastrointestinal problems (OR, 1.03; 95% CI, 0.73-1.45) or electrocardiogram abnormalities (OR, 1.16; 95% CI, 0.94-1.42). The overall quality of evidence ranged from low to very low. Conclusion: Azithromycin did not result in a superior clinical improvement in COVID-19 patients, although it was well-tolerated and safe to use.

• Journal of Life Science
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• v.30 no.10
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• pp.867-876
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• 2020

This study investigated the repair of UVB-induced cell damage by magnolol. We performed a drug-repurposing screen, and, in the STAT3 reporter gene assay, magnolol was identified as a suppressor of STAT3 that improves the cell viability of HDF cells. HDF cells treated with IL-6, UVB, and IFNγ showed the highest expression of Jak2 and phosphorylated STAT3 (p-STAT3), and magnolol was able to decrease the expression of Jak2 and p-STAT3 in UVB-induced cells. Moreover, UVB-damaged cell growth increased significantly in correlation with both reactivation and with magnolol in a dose-dependent manner. Compared with AG490 (a Jak2 inhibitor) treatment of UVB-treated HDF cells, cell proliferation increased significantly. We confirmed that AG490 and magnolol reduced TNF-α concentrations, and Western blotting (protein level) showed decreases in Jak2 and p-STAT3 expression in only the magnolol-treated cells. The expression of Jak2, p-STAT3, and SOCS3 also increased only after treatment with magnolol. Cells were treated with magnolol and ML385 (an NRF2 inhibitor), and these secondary metabolites reduced cell proliferation and NRF2 expression. The amount of MMP9 was also increased by cotreatment with magnolol and ML385. Collectively, these results demonstrate the potential of magnolol for repairing cells after UVB-induced damage by regulating the expression of NRF2, SOCS3, Jak2, and STAT3.