Search Results (47)

Traditional herbal prescriptions composed of multiple botanicals remain central to ethnopharmacological practice; however, their chemical basis and classification remain poorly understood. Non-volatile compound analyses of herbal medicines are well established, but comparative studies focusing on volatile organic compounds (VOCs) across multi-herbal prescriptions are scarce. To enhance the chemical understanding of traditional formulations and clarify prescription-level characteristics, this study applied headspace solid-phase microextraction coupled with gas chromatography–mass spectrometry (HS-SPME–GC–MS) to characterize VOC-based chemical signatures in 30 prescriptions composed of 76 herbal ingredients. Multivariate analyses such as principal component analysis, partial least squares discriminant analysis (PLS-DA), and orthogonal PLS-DA (OPLS-DA) enabled systematic differentiation of various prescriptions and identified 25 discriminant VOCs, 9 of which were common among multiple therapeutic categories. These shared compounds, such as 5-hydroxymethylfurfural (5-HMF) and 4H-pyran-4-one derivatives, reflect recurrent chemical patterns associated with broad-spectrum applications, whereas category-specific volatiles (including isopsoralen, senkyunolide, and fenipentol) delineated therapeutic boundaries, even among prescriptions with overlapping botanicals. Capturing both shared and distinct volatile signatures clarified ambiguous boundaries between categories such as cold, inflammation, or diabetes versus kidney disorder prescriptions, thereby linking chemical patterns with ethnopharmacological indications. Together, these findings highlight VOC profiling as a valuable diagnostic and interpretive tool that bridges traditional categorization systems with modern chemical analysis, offering a robust framework for future pharmacological and mechanistic investigations. Such an approach not only substantiates traditional categorization but also provides a practical basis for quality control and pharmacological evaluation of multi-herbal formulations. Full article

Background: National Health Insurance Herbal prescriptions (NHPs) are widely used; however, their multi-component composition complicates mechanistic interpretation and impedes the development of evidence-based approaches in traditional medicine and healthcare policy. In this study, we applied a systems biology approach to link molecular mechanisms to clinical effects. Methods: From 56 NHPs, 13 with sufficient clinical evidence were selected. Multi-layer networks connecting herbs, ingredients, genes, and diseases were constructed using SymMap, with interactions filtered for oral bioavailability and statistical significance (false discovery rate < 0.05). Network-predicted diseases were validated against a clinically validated benchmark using permutation-based null model analysis, and gene set enrichment analysis (GSEA) was used to identify key molecular pathways. Results: Networks predicted an average of 1359 diseases per NHP, reflecting their polypharmacology. Importantly, the overall predicted disease sets for 10 of 13 NHPs showed statistically significant overlap with known clinical uses (p < 0.05, several with p < 0.001). GSEA indicated that NHPs commonly modulate three biological axes—hormone–metabolic regulation, neural signaling, and cell proliferation control. Conclusions: NHPs act as potential systemic homeostasis regulators. Our study introduces a computationally validated framework integrating network pharmacology with permutation-based statistical testing, providing a data-driven rationale for NHP use. These computational findings are exploratory and require future biological and clinical validation. Full article

Background/Objectives: Korean medicine healthcare (KMHC), a form of traditional medicine including acupuncture and herbal medicine, is widely utilized by patients with intervertebral disc disease (IVDD). With the increasing use of real-world evidence (RWE) in the medical field, this study aims to derive RWE on KMHC utilization and its associated factors in patients with IVDD. Methods: Data from 495 individuals who received outpatient healthcare for IVDD regardless of the purpose such as treatment, examination, rehabilitation, monitoring, or prescription were analyzed using the 2022 Korea Health Panel Survey (KHPS). Multinomial logistic regression analyses were performed to identify factors associated with healthcare use for IVDD. Regression models were constructed by sequentially adding predisposing, enabling, and need factors following Andersen’s behavioral model. All statistical analyses accounted for the complex survey design of the KHPS using survey sampling weights. Results: Individuals aged 45–59 years were less likely to use both KMHC and conventional medicine healthcare (CMHC) for IVDD compared to those aged 19–44 years (adjusted odds ratio [95% confidence interval], 0.28 [0.09, 0.89]). People with disabilities showed lower utilization of both KMHC and CMHC for IVDD compared to those without disabilities (0.27 [0.09, 0.81]). Individuals who were employed (2.37 [1.06, 5.3]) or perceived their health status as fair (3.05 [1.17, 8]) or poor/very poor (6.13 [2.04, 18.45]) were more inclined to use both KMHC and CMHC for IVDD. Individuals who engaged in regular physical activities (2.65 [1.19, 5.9]) or had shoulder joint diseases (3.71 [1.22, 11.29]) or other spine-related diseases (2.63 [1.16, 5.96]) were more inclined to use KMHC-only for IVDD. Conclusions: This study identified significant demographic and health-related factors influencing KMHC utilization for IVDD. These findings emphasize the need for tailored healthcare policies regarding KMHC for IVDD for effective resource distribution. Full article

Trust in Traditional Thai Medicine (TTM) among Thai people has been reduced due to a lack of objective standards and the susceptibility of the general population to false information. The emergence of generative artificial intelligence (Gen AI) has significantly impacted various industries, including traditional medicine. However, previous Gen AI models have primarily focused on prescription generation based on Traditional Chinese Medicine (TCM), leaving TTM unexplored. To address this gap, we propose a novel fast-learning fine-tuned language model fortified with TTM knowledge. We utilized textual data from two TTM textbooks, Wat Ratcha-orasaram Ratchaworawihan (WRO), and Tamra Osot Phra Narai (NR), to fine-tune Unsloth’s Gemma-2 with 9 billion parameters. We developed two specialized TTM tasks: treatment prediction (TrP) and herbal recipe generation (HRG). The TrP and HRG models achieved precision, recall, and F1 scores of 26.54%, 28.14%, and 24.00%, and 32.51%, 24.42%, and 24.84%, respectively. Performance evaluation against TCM-based generative models showed comparable precision, recall, and F1 results with a smaller knowledge corpus. We further addressed the challenges of utilizing Thai, a low-resource and linguistically complex language. Unlike English or Chinese, Thai lacks explicit sentence boundary markers and employs an abugida writing system without spaces between words, complicating text segmentation and generation. These characteristics pose significant difficulties for machine understanding and limit model accuracy. Despite these obstacles, our work establishes a foundation for further development of AI-assisted TTM applications and highlights both the opportunities and challenges in applying language models to traditional medicine knowledge systems in Thai language contexts. Full article

Traditional Chinese medicine (TCM), a holistic medical system rooted in dialectical theories and natural product-based therapies, has served as a cornerstone of healthcare systems for millennia. While its empirical efficacy is widely recognized, the polypharmacological mechanisms stemming from its multi-component nature remain poorly characterized. The conventional trial-and-error approaches for bioactive compound screening from herbs raise sustainability concerns, including excessive resource consumption and suboptimal temporal efficiency. The integration of artificial intelligence (AI) and multi-omics technologies with network pharmacology (NP) has emerged as a transformative methodology aligned with TCM’s inherent “multi-component, multi-target, multi-pathway” therapeutic characteristics. This convergent review provides a computational framework to decode complex bioactive compound–target–pathway networks through two synergistic strategies, (i) NP-driven dynamics interaction network modeling and (ii) AI-enhanced multi-omics data mining, thereby accelerating drug discovery and reducing experimental costs. Our analysis of 7288 publications systematically maps NP-AI–omics integration workflows for natural product screening. The proposed framework enables sustainable drug discovery through data-driven compound prioritization, systematic repurposing of herbal formulations via mechanism-based validation, and the development of evidence-based novel TCM prescriptions. This paradigm bridges empirical TCM knowledge with mechanism-driven precision medicine, offering a theoretical basis for reconciling traditional medicine with modern pharmaceutical innovation. Full article

Sinhyotaklisan (SHTLS) is a traditional herbal prescription composed of Lonicerae Flos, Angelicae Gigantis Radix, Astragali Radix, and Glycyrrhizae Radix et Rhizoma, commonly used to treat skin disorders. This study aimed to investigate the therapeutic effects and underlying mechanisms of SHTLS in psoriasis through the network pharmacology analysis and experimental validation in vitro and in vivo. Bioactive compounds and molecular targets were identified using the Traditional Chinese Medicine Systems Pharmacology database, and key protein–protein interaction networks were analyzed via STRING and Cytoscape. In vitro, HaCaT cells were pretreated with SHTLS and stimulated with TNF-α, followed by assessments using proliferation assays, scratch assays, quantitative real-time PCR, and Western blotting. In vivo, the anti-psoriatic effects of SHTLS were evaluated in an imiquimod-induced psoriatic mouse model. A total of 36 key targets were significantly enriched in TNF-α, MAPK, HIF-1α, and IL-17 signaling pathways. SHTLS suppressed TNF-α-induced expression of VEGF and HIF-1α, while upregulating p53, thereby inhibiting keratinocyte hyperproliferation and angiogenesis. It also reduced IL-6 and IL-8 levels and blocked activation of the NF-κB and MAPK pathways. Histological analysis confirmed that SHTLS alleviated psoriatic lesions in vivo. These findings suggest that SHTLS may be a promising therapeutic candidate for psoriasis by targeting hyperproliferation, angiogenesis, and inflammation. Full article

The adverse effects of anticancer drugs significantly impact the quality of life of patients undergoing chemotherapy, necessitating evidence-based supportive therapies. In Japan, Kampo medicines, traditional Japanese herbal therapies used for relief of various symptoms, have been widely used as complementary and alternative treatments for cancer, despite limited evidence regarding their efficacy and safety. Thus, we investigated the actual use of Kampo medicines as supportive care in patients undergoing anticancer drug treatment and evaluated the trends in prescription according to year. We analyzed 89,141 cancer drug therapy cases registered in the Japan Medical Data Center database between April 2014 and July 2022, excluding those with a history of Kampo medicine prescriptions before the first prescription of antineoplastic drugs. We assessed the trends in prescription according to sex, age group (<50, 50–74, and ≥75 years), and cancer type subgroup using the Cochran–Armitage trend test. Approximately 23.7% of patients were prescribed Kampo medicines during anticancer drug treatment. Since 2014, a decrease in the prescription of Kampo medicines during anticancer treatment has been observed regardless of sex, age, or cancer type. These findings suggest that recent negative reports on the efficacy and safety of Kampo medicines in cancer care may have influenced this trend. Full article

Background: Migraine, a complex neurological condition, poses significant challenges for both sufferers and healthcare providers. While prescription medications play a vital role in managing migraine attacks, the quest for natural, non-pharmacological alternatives has garnered increasing interest. This review explores the efficacy and safety of natural supplements as treatments for migraine relief, comparing them with conventional prescription medications. Methods: The review delves into herbal supplements, clinical studies on natural remedies, aromatherapy, dietary influences, and lifestyle modifications in the context of migraine management in several databases. Results: The findings shed light on the potential of natural supplements as complementary or alternative approaches to traditional migraine therapies, offering insights into a holistic and personalized treatment paradigm for migraine sufferers. Conclusions: Natural supplements have gained attention as potential treatments for migraine relief, often perceived as safer alternatives to conventional medications. Full article

Platycladus orientalis is a traditional oriental herbal medicinal plant that is widely used as a component of complex prescriptions for alopecia treatment in Eastern Asia. The effect of PO on hair growth and its underlying mechanism, however, have not been demonstrated or clarified. In this study, we investigated the hair-growth-promoting effect of PO in cultured human dermal papilla cells (hDPCs). Platycladus orientalis leaf extract (POLE) was found to stimulate the proliferation of hDPCs. POLE with higher quercitrin concentration, especially, showed a high level of cellular viability. In the context of cellular senescence, POLE decreased the expression of p16 (CDKN2A) and p21(CDKN1A), which resulted in enhanced proliferation. In addition, growth factor receptors, FGFR1 and VEGFR2/3, and non-receptor tyrosine kinases, ACK1 and HCK, were significantly activated. In addition, LEF1, a transcription factor of Wnt/β-catenin signaling, was enhanced, but DKK1, an inhibitor of Wnt/β-catenin signaling, was downregulated by POLE treatment in cultured hDPCs. As a consequence, the expression of growth factors such as bFGF, KGF, and VEGF were also increased by POLE. We further investigated the hair-growth-promoting effect of topically administered POLE over a 12-week period. Our data suggest that POLE could support terminal hair growth by stimulating proliferation of DPCs and that enhanced production of growth factors, especially KGF, occurred as a result of tyrosine kinase ACK1 activation. Full article

Inflammatory bowel disease (IBD) treatments in East Asian traditional medicine (EATM) originate from principles for treating abscesses and carbuncles. Understanding the therapeutic principles of Liu Juan Zi Gui Yi Fang (GYF) is essential for optimizing EATM treatment strategies for IBD, but quantitative analysis is lacking. This study aims to extract quantitative information on therapeutic strategies from GYF and present the EATM conceptual framework for IBD treatment. Oral prescriptions for carbuncles were selected, and their constituent herbs and indications were standardized and tokenized for analysis. An EATM expert group classified prescriptions based on the similarity of herbs and indications. Hierarchical and k-means cluster analyses were performed based on herb similarity. The herb–indication (H-I) network for all prescriptions was constructed. Additionally, H-I subnetworks based on the expert group’s classifications and the k-means clustering results were constructed and compared to identify treatment goals and the herbs used for each goal. The results showed that the treatment focused on abscess status, wound healing, and patient’s recovery capacity, with ‘fever’ and ‘deficiency’ as the main indications addressed by tonifying and anti-inflammatory herbs. The therapeutic principles identified in this study can serve as a foundation for developing future herbal intervention units. Further preclinical and clinical research is needed to validate these findings. Full article

Tongmai Sini decoction (TSD), the classical prescriptions of traditional Chinese medicine, consisting of three commonly used herbal medicines, has been widely applied for the treatment of myocardial infarction and heart failure. However, the absorbed components and their metabolism in vivo of TSD still remain unknown. In this study, a reliable and effective method using ultra-performance liquid chromatography coupled with hybrid quadrupole-Orbitrap mass spectrometry (UHPLC-Q-Exactive-MS/MS) was employed to identify prototype components and metabolites in vivo (rat plasma and urine). Combined with mass defect filtering (MDF), dynamic background subtraction (DBS), and neutral loss filtering (NLF) data-mining tools, a total of thirty-two major compounds were selected and investigated for their metabolism in vivo. As a result, a total of 82 prototype compounds were identified or tentatively characterized in vivo, including 41 alkaloids, 35 phenolic compounds, 6 saponins. Meanwhile, A total of 65 metabolites (40 alkaloids and 25 phenolic compounds) were tentatively identified. The metabolic reactions were mainly hydrogenation, demethylation, hydroxylation, hydration, methylation, deoxylation, and sulfation. These findings will be beneficial for an in-depth understanding of the pharmacological mechanism and pharmacodynamic substance basis of TSD. Full article

Frailty is a major geriatric syndrome with a multifactorial etiology that induces a decline in multiple physiological and psychological functions. In traditional East Asian medicine (TEAM), qi and blood deficiency clinically represent as fatigue, anemia, anorexia, decreased strength after illness, and weakness, commonly interpretated as frailty. An herbal prescription of Insamyangyeongtang (IYT, Ninjin’yoeito in Japanese, Ren-Shen-Yang-Rong-Tang in Chinese) tonifies qi and blood and has the potential to treat multiple targets caused by qi and blood deficiency. As the population ages and frailty increases, there is an increase in the potential effectiveness of IYT in frailty. This study reviewed relevant clinical trials to provide an updated view on the effect of IYT on frailty. IYT has therapeutic effects on frailty associated with chronic respiratory diseases (e.g., chronic obstructive pulmonary disease) and cognitive impairments (e.g., Alzheimer’s disease) and improves respiratory symptoms and cognition. IYT also has therapeutic effects on weight gain, muscle mass, and strength, and improves nutritional status in frail elderly individuals who have decreased muscle mass and strength, loss of appetite, and weight loss. The same effect has been shown in frailty in elderly individuals with rehabilitation treatment and chronic diseases. IYT also improves frailty associated with symptoms such as intractable dizziness and genitourinary symptoms. The beneficial effects of IYT in several diseases could be important for medication replacement, reduction, and prevention of polypharmacy. Based on the results of this review, we suggest that IYT has the potential to be a therapeutic agent against frailty. Full article

Background: Patients with bipolar disorder (BD) receive traditional Chinese medicine (TCM) for clinical needs unmet with psychotropic medications. However, the clinical characteristics of practices and outcomes of TCM in BD are not fully understood. This cohort study investigated the clinical characteristics, principal diagnoses, TCM interventions, and TCM prescriptions in patients with BD. Methods: Data for a total of 12,113 patients with BD between 1996 and 2013 were withdrawn from Taiwan’s longitudinal health insurance database 2000 (LHID 2000). The chi-square test was used for categorical variables, and the independent t-test was used for continuous variables. A p-value less than 0.05 indicated significance. Results: One thousand three hundred nineteen patients who visited TCM clinics after the diagnosis of BD were in the TCM group, while those who never visited TCM were in the non-TCM group (n = 1053). Compared to the non-TCM group, patients in the TCM group had younger average age, a higher percentage of female individuals, more comorbidities of anxiety and alcohol use disorders, and higher mood stabilizer usage rates. The TCM group exhibited pain-related indications, including joint pain, myalgia, myositis, headache, and sleep disturbances. Corydalis yanhusuo and Shu-Jing-Huo-Xue-Tang were the most useful single herbs and herbal formulae. Conclusions: Physicians need to be aware of the use of TCM in patients with BD. Full article

Alzheimer’s disease (AD) is a representative cause of dementia and is caused by neuronal loss, leading to the accumulation of aberrant neuritic plaques and the formation of neurofibrillary tangles. Oxidative stress is involved in the impaired clearance of amyloid beta (Aβ), and Aβ-induced oxidative stress causes AD by inducing the formation of neurofibrillary tangles. Hwangryunhaedok-tang (HHT, Kracie K-09^®), a traditional herbal medicine prescription, has shown therapeutic effects on various diseases. However, the studies of HHT as a potential treatment for AD are insufficient. Therefore, our study identified the neurological effects and mechanisms of HHT and its key bioactive compounds against Alzheimer’s disease in vivo and in vitro. In a 5xFAD mouse model, our study confirmed that HHT attenuated cognitive impairments in the Morris water maze (MWM) test and passive avoidance (PA) test. In addition, the prevention of neuron impairment, reduction in the protein levels of Aβ, and inhibition of cell apoptosis were confirmed with brain tissue staining. In HT-22 cells, HHT attenuates tBHP-induced cytotoxicity, ROS generation, and mitochondrial dysfunction. It was verified that HHT exerts a neuroprotective effect by activating signaling pathways interacting with Nrf2, such as MAPK/ERK, PI3K/Akt, and LKB1/AMPK. Among the components, baicalein, a bioavailable compound of HHT, exhibited neuroprotective properties and activated the Akt, AMPK, and Nrf2/HO-1 pathways. Our findings indicate a mechanism for HHT and its major bioavailable compounds to treat and prevent AD and suggest its potential. Full article

Fibrosis, which causes structural hardening and functional degeneration in various organs, is characterized by the excessive production and accumulation of connective tissue containing collagen, alpha-smooth muscle actin (α-SMA), etc. In traditional medicine, extracts of medicinal plants or herbal prescriptions have been used to treat various fibrotic diseases. The purpose of this narrative review is to discuss the antifibrotic effects of rosmarinic acid (RA) and plant extracts that contain RA, as observed in various experimental models. RA, as well as the extracts of Glechoma hederacea, Melissa officinalis, Elsholtzia ciliata, Lycopus lucidus, Ocimum basilicum, Prunella vulgaris, Salvia rosmarinus (Rosmarinus officinalis), Salvia miltiorrhiza, and Perilla frutescens, have been shown to attenuate fibrosis of the liver, kidneys, heart, lungs, and abdomen in experimental animal models. Their antifibrotic effects were associated with the attenuation of oxidative stress, inflammation, cell activation, epithelial–mesenchymal transition, and fibrogenic gene expression. RA treatment activated peroxisomal proliferator-activated receptor gamma (PPARγ), 5′ AMP-activated protein kinase (AMPK), and nuclear factor erythroid 2-related factor 2 (NRF2) while suppressing the transforming growth factor beta (TGF-β) and Wnt signaling pathways. Interestingly, most plants that are reported to contain RA and exhibit antifibrotic activity belong to the family Lamiaceae. This suggests that RA is an active ingredient for the antifibrotic effect of Lamiaceae plants and that these plants are a useful source of RA. In conclusion, accumulating scientific evidence supports the effectiveness of RA and Lamiaceae plant extracts in alleviating fibrosis and maintaining the structural architecture and normal functions of various organs under pathological conditions. Full article