The genuine Chinese medicinal (GCM), also known as Dao-di Herbs, is a synonym for high quality Chinese medicinal materials, which has been established in thousands of years of clinical practice and is a comprehensive standard for evaluating the quality of Chinese medicinal materials. The newest data from the Fourth National Survey of Chinese Medicinal Resources showed that Sichuan Province has 7290 types of Chinese medicine and 86 GCM, both ranking highly in China. The characteristics like diverse species, wide distribution, higher yield, and good quality are considered as advantages of geo-herbals grown in Sichuan. Resources guarantee and high-quality development of those medicine materials make a difference in local Chinese medicine quality promotion and Chinese medicine industry and technology development to serve the public's needs, assist targeted poverty alleviation, and strengthen ecological protection. This review aims to outline significant progress in the recent ten years regarding regionalization, germplasm resources, and quality evaluation around the quality assurance of GCM in Sichuan, China.

Eucommia ulmoides Oliver (E. ulmoides) is a popular medicinal herb and health supplement in China, Japan, and Korea, and has a variety of pharmaceutical properties. The neuroendocrine–immune (NEI) network is crucial in maintaining homeostasis and physical or psychological functions at a holistic level, consistent with the regulatory theory of natural medicine. This review aims to systematically summarize the chemical compositions, biological roles, and pharmacological properties of E. ulmoides to build a bridge between it and NEI-associated diseases and to provide a perspective for the development of its new clinical applications. After a review of the literature, we found that E. ulmoides has effects on NEI-related diseases including cancer, neurodegenerative disease, hyperlipidemia, osteoporosis, insomnia, hypertension, diabetes mellitus, and obesity. However, clinical studies on E. ulmoides were scarce. In addition, E. ulmoides derivatives are diverse in China, and they are mainly used to enhance immunity, improve hepatic damage, strengthen bones, and lower blood pressure. Through network pharmacological analysis, we uncovered the possibility that E. ulmoides is involved in functional interactions with cancer development, insulin resistance, NAFLD, and various inflammatory pathways associated with NEI diseases. Overall, this review suggests that E. ulmoides has a wide range of applications for NEI-related diseases and provides a direction for its future research and development.

Background: Selective serotonin reuptake inhibitors (SSRIs) are the most frequently prescribed agents to treat depression. Considering the growth in antidepressant prescription rates, SSRI-induced adverse events (AEs) need to be comprehensively clarified. Objective: This study was to investigate safety profiles and potential AEs associated with SSRIs using the Food and Drug Administration Adverse Event Reporting System (FAERS). Methods: A retrospective pharmacovigilance analysis was conducted using the FAERS database, with Open Vigil 2.1 used for data extraction. The study included cases from the marketing date of each SSRI (ie, citalopram, escitalopram, fluoxetine, paroxetine, fluvoxamine, and sertraline) to April 30, 2023. We employed the reporting odds ratio and Bayesian confidence propagation neural network as analytical tools to assess the association between SSRIs and AEs. The Medical Dictionary for Regulatory Activities was used to standardize the definition of AEs. AE classification was achieved using system organ classes (SOCs). Results: Overall, 427 655 AE reports were identified for the 6 SSRIs, primarily associated with 25 SOCs, including psychiatric, nervous system, congenital, familial, genetic, cardiac, and reproductive disorders. Notably, sertraline ( n = 967) and fluvoxamine ( n = 169) exhibited the highest and lowest signal frequencies, respectively. All SSRIs had relatively strong signals related to congenital, psychiatric, and nervous disorders. Conclusions and relevance: Most of our findings are consistent with those reported previously, but some AEs were not previously identified. However, AEs attributed to SSRIs remain ambiguous, warranting further validation. Applying data-mining methods to the FAERS database can provide additional insights that can assist in appropriately utilizing SSRIs.

Ustekinumab is a fully human interleukin-12/23 (p40) inhibitor used to treat immune-mediated diseases. However, the limitations of clinical trials and the expanding target population necessitate an update on the ustekinumab-associated adverse events (AEs). We conducted signal mining for ustekinumab-related AEs using the United States Food and Drug Administration Adverse Event Reporting System (FAERS). AE reports were collected from 2009 Q3 to 2024 Q1. Four disproportionality analysis algorithms - reporting odds ratio, medicines and healthcare products regulatory agency, Bayesian confidence propagation neural network, and multinomial gamma-Poisson distribution shrinking - were used to quantify the signals of ustekinumab. During this period 69,345 AE reports associated with ustekinumab were collected, and ustekinumab was identified as the primary suspect. Overall, 319 signals involving 15 system organ classes were identified, and 111 signals had a medium or strong value for IC₀₂₅. Of them, 67 were classified as important medical events. Squamous cell carcinoma, pertussis, vulval abscess, breast abscess, and fistula exhibited higher signal intensities. Our study identified the risk signals for ustekinumab using real-world data and provides further evidence to support its rational use. Due to the limitations of FAERS, further studies are warranted to verify these findings.

Background: Crohn’s disease (CD) is an inflammatory bowel disease, cases of which have substantially increased in recent years. The classical formula Dajianzhong decoction (DD, Japanese: Daikenchuto) is often used to treat CD, but few studies have evaluated related therapeutic mechanisms. In this study, we investigated the potential targets and mechanisms of DD used for treating CD at the molecular level through the weighted gene co-expression network. Methods: The main chemical components of the three DD herbs (Zanthoxylum bungeanum Maxim., Zingiber officinale (Willd.) Rosc., and Ginseng Radix et Rhizoma) were searched for using the HERB database. The targets for each component were identified using the SwissTargetPrediction and HERB databases, whereas the disease targets for CD were retrieved from the GeneCards and DisGeNET databases. The functional enrichment analysis was performed on the common targets of DD and CD. High-throughput sequencing data for CD patients were retrieved from the Gene Expression Omnibus database, and WGCNA was performed to identify the key targets. The association between the key targets and DD ingredients was verified using molecular docking. Results: By analyzing the interaction targets between DD and CD, 196 overlapping genes were identified. The enrichment results indicated that the PI3K-AKT, TNF, MAPK, and IL-17 signaling pathways influenced the mechanism of action of DD in counteracting CD. Combined with WGCNA, four differentially expressed genes (SLC6A4, NOS2, SHBG, and ABCB1) and their corresponding 24 compounds were closely related to the occurrence of CD. Conclusions: By integrating gene co-expression network analysis, this study preliminarily reveals the internal molecular mechanism of DD in treating CD from a systematic perspective, validated by molecular docking. However, these findings require further validation.

Background Tumor necrosis factor-alpha inhibitors (TNFis) are used for the treatment of inflammatory bowel disease (IBD). The aim of this study was to evaluate the association between neurological adverse events (AEs) and TNFi use.Methods Data of TNFis indicated for IBD were collected from the Food and Drug Administration Adverse Event Reporting System (FAERS) from the marketed date to the second quarter of 2023. The reporting odds ratio (ROR) and a Bayesian confidence propagation neural network were used to identify signals.Results A total of 4,964 neurological AEs were reported in the IBD population. Infliximab had 3 signals, including demyelination [ROR (95% CI): 1.69 (1.33,2.15)], meningitis listeria [ROR (95% CI): 5.05 (3.52,7.25)], and optic neuritis [ROR (95% CI): 1.72 (1.3,2.26)]. The signals for adalimumab were gait disturbance [ROR (95% CI): 1.43 (1.32,1.56)] and muscular weakness [ROR (95% CI): 1.4 (1.27,1.55)]. A peripheral neuropathy signal was found for adalimumab [ROR (95% CI): 1.34 (1.18,1.53)] and certolizumab pegol [ROR (95% CI): 1.49 (1.07,2.08)]. However, there were no signals among neurological AEs for golimumab.Conclusion Neurological signals were detected for TNFi use, indicating that the risk of neurological AEs requires additional attention in clinical use of TNFis.