Systematically identifying the anti-inflammatory constituents of Cimicifuga dahurica by UPLC-Q/TOF-MS combined with network pharmacology analysis.

Cimicifuga dahurica (Turcz.) Maxim, which is also regarded as the main origin of "Shengma" in the Chinese Pharmacopoeia, has been used as a cooling and detoxification agent for thousands of years. Our previous phytochemical investigations of C. dahurica extracts (CDEs) led to the isolation of a series of 9,19-cycloalkane triterpenoids and phenolic acids showing a potential anti-inflammatory activity. However, the chemical profiling of CDEs and the material basis of its anti-inflammatory effect in vivo has not been clarified. In the present study, the CDE chemical profile and prototype components in rat plasma were identified via ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. As a result, a total of 106 components were identified or tentatively characterized in CDEs, including 54 triterpenoids, 35 phenolic acids, eight amides and nine other type constituents (39 compounds were confirmed with the reference standards). In addition, 20 prototype components (15 triterpenoids and five phenolic acids) were identified in rat plasma, which potentially related to the anti-inflammatory effects of CDEs. Moreover, the anti-inflammatory activities of the main prototype components were further evaluated by their inhibitory effects on the production of NO, as well as the expressions of iNOS and COX-2 in lipopolysaccharide-stimulated RAW264.7 cells, which indicated that 9,19-cycloalkane triterpenoids may play an anti-inflammatory role by down-regulating the expression of iNOS.

Metabolic profiles of Jin-hong tablets in rats by ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry.

Jin-hong tablets (JHTs), a well-known traditional Chinese patent medicine (TCPM), have been effectively used for the treatment of chronic superficial gastritis (CSG). The metabolic profile of TCPMs is performed to determine their bioactive components. In this study, a five-step strategy based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry and metabolynx™ software combined with mass defect filter technique was developed to delineate the metabolic profile of JHT in vivo. As a result, a total of 163 JHT-related xenobiotics (38 prototypes and 125 metabolites) were identified or tentatively characterized in rat biological samples, and the phase I and II metabolism processes mainly included demethylation, hydroxylation, sulfation, and glucuronidation. In addition, after oral administration of JHT, a large amount of alkaloid-related ingredients was detected in rat plasma samples, indicating that alkaloids may play an important role in the treatment of CSG with JHT. This study is beneficial for understanding the JHT's in vivo metabolic profiles and characteristics, which helps to reveal its in vivo effective components and provides a solid basis for further studies on its functional mechanism.

Exploring the anti-migraine effects of Tianshu capsule: chemical profile, metabolic behavior, and therapeutic mechanisms.

BACKGROUND: Migraine is widely recognized as the third most prevalent medical condition globally. Tianshu capsule (TSC), derived from "Da Chuan Xiong Fang" of the Jin dynasty, is integral in the clinical treatment of migraine. However, the chemical properties and therapeutic mechanisms of TSC different portions remain unclear. PURPOSE: This study was designed to investigate the effects of TSC different portions (including small molecular TSCP-SM and polysaccharides TSC-P) on migraine and explore the underlying mechanisms. STUDY DESIGN AND METHODS: First of all, migraine rats were established by nitroglycerin injection and treated with TSC, TSC-P, and TSC-SM. ELISA, qPCR, and immunofluorescence were used to evaluate the pharmacological effects on migraine rats. Secondly, UPLC-Q/TOF-MS and GC--MS were employed to detect the components of TSC-SM. PMP-HPLC, NMR, FT-IR, UV-Vis, AFM, and SEM were used for the chemical profiling of polysaccharides. Thirdly, the metabolic behavior profile of TSC-P was characterized by oral administrated fluorescence-labeled TSC-P and detected by NIRF imaging. Finally, the anti-migraine mechanisms were explored by determining the composition of gut microbiota, analyzing colonic short-chain fatty acids (SCFAs), and examining serum tryptophan-related metabolites. RESULTS: Both small molecules (45 volatiles and 114 small molecules) and polysaccharides (including Glc, Ara, Gal, and Gal A) have exhibited effectiveness in alleviating migraine, and this efficacy is associated with reduced CGRP and iNOS levels, along with increased ß-EP expressions. Further mechanistic exploration revealed that small-molecules exhibited effectiveness in migraine treatment by exerting antioxidative actions, while polysaccharides demonstrated superior therapeutic effects in regulating 5-HT levels. By monitoring the metabolic behavior of polysaccharides with fluorescent labeling, it was observed that TSC-P exhibited poor absorption. Instead, TSC-P demonstrated its therapeutic effects by modulating the aberrations in gut microbiota (including Alloprevotella, Muribaculaceae_ge, and Ruminococcaceae_UCG-005), cecum short-chain fatty acids (such as isobutyric, isovaleric, and valeric acids), and serum tryptophan-related metabolites (including indole-3-acetamide, tryptophol, and indole-3-propionic acid). CONCLUSION: This research provides innovative insights into chemical composition, metabolic behavior, and proposed anti-migraine mechanisms of TSC from a polarity-based perspective, and pioneering an exploration focused on the polysaccharide components within TSC for the first time.

Uncovering periodontitis-associated markers through the aggregation of transcriptomics information from diverse sources.

Introduction: Periodontitis, a common chronic inflammatory disease, significantly impacted oral health. To provide novel biological indicators for the diagnosis and treatment of periodontitis, we analyzed public microarray datasets to identify biomarkers associated with periodontitis. Method: The Gene Expression Omnibus (GEO) datasets GSE16134 and GSE106090 were downloaded. We performed differential analysis and robust rank aggregation (RRA) to obtain a list of differential genes. To obtain the core modules and core genes related to periodontitis, we evaluated differential genes through enrichment analysis, correlation analysis, protein-protein interaction (PPI) network and competing endogenous RNA (ceRNA) network analysis. Potential biomarkers for periodontitis were identified through comparative analysis of dual networks (PPI network and ceRNA network). PPI network analysis was performed in STRING. The ceRNA network consisted of RRA differentially expressed messenger RNAs (RRA_DEmRNAs) and RRA differentially expressed long non-coding RNAs (RRA_DElncRNAs), which regulated each other's expression by sharing microRNA (miRNA) target sites. Results: RRA_DEmRNAs were significantly enriched in inflammation-related biological processes, osteoblast differentiation, inflammatory response pathways and immunomodulatory pathways. Comparing the core ceRNA module and the core PPI module, C1QA, CENPK, CENPU and BST2 were found to be the common genes of the two core modules, and C1QA was highly correlated with inflammatory functionality. C1QA and BST2 were significantly enriched in immune-regulatory pathways. Meanwhile, LINC01133 played a significant role in regulating the expression of the core genes during the pathogenesis of periodontitis. Conclusion: The identified biomarkers C1QA, CENPK, CENPU, BST2 and LINC01133 provided valuable insight into periodontitis pathology.

Neuroprotective effect of GJ-4 against cognitive impairments in vascular dementia by improving white matter damage.

BACKGROUND: White matter lesions (WMLs) are increasingly linked to the pathological process of chronic vascular dementia (VaD). An effective crocins fraction extracted from Gardenia Fructus, GJ-4, has been shown to improve cognitive function in several Alzheimer's disease models and VaD models. OBJECTIVES: To explore the potential mechanisms of GJ-4 on WMLs in a chronic VaD mouse model. METHODS: The chronic VaD mouse model was established, and WMLs were characterized by cerebral blood flow (CBF), behavioral tests, LFB staining, and immunohistochemistry. The anti-oxidative effect of GJ-4 was validated by examining biochemical parameters (SOD, MDA, and GSH) and the Keap1-Nrf2/HO-1 pathway. The impact of GJ-4 on lipid metabolism in WM was further investigated through lipidomic analysis. RESULTS: GJ-4 significantly attenuated cognitive impairments and improved the CBF of BCAS (bilateral common carotid artery stenosis)-induced mice. Mechanism research showed that GJ-4 could enhance cognition by promoting the repair of WMLs by inhibiting oxidative stress. Furthermore, GJ-4 treatment significantly reduced chronic cerebral hypoperfusion (CCH)-induced WMLs via improving lipid metabolism disorder in the WM. CONCLUSION: This research has provided valuable insights into the significance of WMLs in CCH-induced VaD and underscored the potential of GJ-4 as a therapeutic agent for improving cognitive function by targeting WMLs. These findings suggest that GJ-4 is a promising candidate for the treatment of VaD.

PMBC: a manually curated database for prognostic markers of breast cancer.

Breast cancer is notorious for its high mortality and heterogeneity, resulting in different therapeutic responses. Classical biomarkers have been identified and successfully commercially applied to predict the outcome of breast cancer patients. Accumulating biomarkers, including non-coding RNAs, have been reported as prognostic markers for breast cancer with the development of sequencing techniques. However, there are currently no databases dedicated to the curation and characterization of prognostic markers for breast cancer. Therefore, we constructed a curated database for prognostic markers of breast cancer (PMBC). PMBC consists of 1070 markers covering mRNAs, lncRNAs, miRNAs and circRNAs. These markers are enriched in various cancer- and epithelial-related functions including mitogen-activated protein kinases signaling. We mapped the prognostic markers into the ceRNA network from starBase. The lncRNA NEAT1 competes with 11 RNAs, including lncRNAs and mRNAs. The majority of the ceRNAs in ABAT belong to pseudogenes. The topology analysis of the ceRNA network reveals that known prognostic RNAs have higher closeness than random. Among all the biomarkers, prognostic lncRNAs have a higher degree, while prognostic mRNAs have significantly higher closeness than random RNAs. These results indicate that the lncRNAs play important roles in maintaining the interactions between lncRNAs and their ceRNAs, which might be used as a characteristic to prioritize prognostic lncRNAs based on the ceRNA network. PMBC renders a user-friendly interface and provides detailed information about individual prognostic markers, which will facilitate the precision treatment of breast cancer. PMBC is available at the following URL: http://www.pmbreastcancer.com/.

Identifying the molecular basis of Jinhong tablets against chronic superficial gastritis via chemical profile identification and symptom-guided network pharmacology analysis.

Chronic superficial gastritis (CSG) is a common disease of the digestive system that possesses a serious pathogenesis. Jinhong tablet (JHT), a traditional Chinese medicine (TCM) prescription, exerts therapeutic effects against CSG. However, the molecular basis of its therapeutic effect has not been clarified. Herein, we employed ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-Q/TOF-MS) based chemical profile identification to determine the chemical components in JHT. Further, we applied network pharmacology to illustrate its molecular mechanisms. A total of 96 chemical constituents were identified in JHT, 31 of which were confirmed using reference standards. Based on the bioinformatics analysis using the symptom-guided pharmacological networks of "chi," "blood," "pain," and "inflammation," and target screening through the interaction probabilities between compounds and targets, matrix metalloproteinase 2 (MMP2), dopamine d2 receptor (DRD2), and Aldo-keto reductase family 1 member B1 (AKR1B1) were identified as key targets in the therapeutic effect exhibited by JHT against CSG. Moreover, according to the inhibitory activities presented in the literature and binding mode analysis, the structural types of alkaloids, flavonoids, organic acids, including chlorogenic acid (10), caffeic acid (13), (-)-corydalmine (33), (-)-isocorypalmine (36), isochlorogenic acid C (38), isochlorogenic acid A (41), quercetin-3-O-α-l-rhamnoside (42), isochlorogenic acid B (47), quercetin (63), and kaempferol (70) tended to show remarkable activities against CSG. Owing to the above findings, we systematically identified the chemical components of JHT and revealed its molecular mechanisms based on the symptoms associated with CSG.

Two new iridoid glycosides from the fruit of Gardenia jasminoides.

Two new iridoid glycosides, 2'-O-cis-coumaroylgardoside (1), and 6'-O-caffeoylioxide (2), were isolated from the fruit of Gardenia jasminoides. The structures of these compounds were elucidated based on spectroscopic analysis (HR-ESI-MS, NMR) and chemical methods. The anti-inflammatory activities of the isolates were evaluated by measuring their inhibitory effects on PGE2 production in LPS stimulated RAW 264.7 macrophages, compounds 1 and 2 could reduce PGE2 levels in LPS-activated RAW 264.7 macrophages with IC50 values of 121.4 and 83.38 µM, respectively.

A new nitrogen-containing iridoid glycoside from lonicera macranthoides.

A new nitrogen-containing iridoid glycoside, named (7 R,3'R)-lonijapospiroside A (1), together with thirteen known iridoid glycosides, were isolated from the flower buds of Lonicera macranthoides. The structures of these compounds were established on the basis of spectroscopic analyses. Among them, compounds 1-4 are four diastereoisomers, and their absolute configurations were accurately established by the NOE spectra as well as comparison of their experimental and calculated ECD spectra. The anti-inflammatory activities of all isolates were evaluated by measuring their inhibitory effects on NO, IL-6, and TNF-α production in LPS stimulated RAW 264.7 macrophages. Compound 14 exhibited anti-inflammatory activities by inhibiting IL-6 with an IC50 value of 54.70 µM, comparable to that of the positive control (hydrocortisone, IC50: 62.6 ± 1.7 µM).

Three new cycloart-7-ene triterpenoid glycosides from Cimicifuga dahurica and their anti-inflammatory effects.

Ten cycloart-7-ene triterpenoid glycosides, including three new compounds (1-3), were isolated from the roots of Cimicifuga dahurica. Their structures were elucidated on the basis of extensive spectroscopic analyses, chemical methods and comparison with literatures. In addition, the isolates were evaluated for their inhibitory effects on the production of NO, as well as the expressions of iNOS and COX-2 in LPS-stimulated RAW 264.7 macrophages. The results showed that compounds 3, 5, 6, 7 and 8 can reduce the release of NO in a dose-dependent manner. Mechanistically, Western blot analysis indicated that the NO inhibitory effects relied on down-regulating the expression of iNOS, and partially associated with lowering the expression of COX-2.