Cyclodextrin-Coordinated Liposome-in-Gel for Transcutaneous Quercetin Delivery for Psoriasis Treatment.

Psoriasis is a chronic inflammatory skin disease that is difficult to treat. Quercetin (QT) is a dietary flavonoid known for its anti-inflammatory effects and safe use in humans. However, the topical application of quercetin for psoriasis treatment presents a significant challenge due to its poor water solubility and low stability in semisolid preparations, where it tends to recrystallize. This work presents a novel liposome-in-gel formulation for the quercetin-based topical treatment of psoriasis. The quercetin-loading liposomes are stabilized by hydroxypropyl-ß-cyclodextrin (HPCD), which interacts with phospholipids via hydrogen bonding to form a layer of an HPCD coating on the liposome interface, thus resulting in improved stability. Various analytical techniques, such as FTIR spectroscopy, Raman spectroscopy, and TEM, were used to characterize the molecular coordination patterns between cyclodextrin and liposomes. The results demonstrated that HPCD assisted the liposomes in interfacing with the matrix lipids and keratins of the stratum corneum, thereby enhancing skin permeability and promoting drug penetration and retention in the skin. The in vivo results showed that the topical QT HPCD-liposome-in-gel improved the treatment efficacy of psoriatic plaque compared to free QT. It alleviated the symptoms of skin thickening and downregulated proinflammatory cytokines, including TNF-α, IL-17A, and IL-1ß. The results suggested that the HPCD-coordinated liposome-in-gel system could be a stable carrier for topical QT therapy with good potential in psoriasis treatment.

Event-triggered control for robust exponential synchronization of inertial memristive neural networks under parameter disturbance.

Synchronization of memristive neural networks (MNNs) by using network control scheme has been widely and deeply studied. However, these researches are usually restricted to traditional continuous-time control methods for synchronization of the first-order MNNs. In this paper, we study the robust exponential synchronization of inertial memristive neural networks (IMNNs) with time-varying delays and parameter disturbance via event-triggered control (ETC) scheme. First, the delayed IMNNs with parameter disturbance are changed into first-order MNNs with parameter disturbance by constructing proper variable substitutions. Next, a kind of state feedback controller is designed to the response IMNN with parameter disturbance. Based on feedback controller, some ETC methods are provided to largely decrease the update times of controller. Then, some sufficient conditions are provided to realize robust exponential synchronization of delayed IMNNs with parameter disturbance via ETC scheme. Moreover, the Zeno behavior will not happen in all ETC conditions shown in this paper. Finally, numerical simulations are given to verify the advantages of the obtained results such as anti-interference performance and good reliability.

Combination of Danshen and ligustrazine has dual anti-inflammatory effect on macrophages and endothelial cells.

ETHNOPHARMACOLOGICAL RELEVANCE: Salvia Miltiorrhiza Radix et Rhizoma (Danshen) and Chuanxiong Rhizoma (Chuanxiong) are both traditional Chinese medicines with vascular protective effects, and their combination is widely used in China to treat occlusive or ischemic diseases of the cerebrovascular or cardiovascular system. Although it is widely accepted that these diseases have high relevance to inflammation, little is known about the anti-inflammatory effect of Danshen, Chuanxiong, and their combination. AIM OF STUDY: We aimed to investigate the complex mode of action of Danshen, Chuanxiong, and their combination and the molecular mechanisms underlying their anti-inflammatory activity. Specifically, toll-like receptor (TLR1/2, 3, and 4)-triggered macrophages and endothelial cells, the two major cell players in atherosclerosis as well as in related cardiovascular and cerebrovascular injuries, were emphasized. METHODS: TLR1/2-, TLR3-, and TLR4-induced bone marrow macrophages (BMMs) and human umbilical vein endothelial cells (HUVECs) were treated with Danshen extract (S. miltiorrhiza extract, SME), ligustrazine (2, 3, 5, 6-tetramethylpyrazine, TMP), and their combination (S. miltiorrhiza and TMP injection, SLI), respectively. The proinflammatory cytokines interleukin 6 (IL-6), IL-12, and tumor necrosis factor alpha (TNF-α) were detected as the preliminary indicators of inflammation. In addition, RNA sequencing (RNA-seq)-based transcriptional profiling analyses were conducted for TLR2-activated BMMs to determine the molecular mode of action of SLI as well as the contribution of SME to SLI activity. RESULTS: SLI mitigated inflammation in both BMMs and HUVECs. Refer to the combination, SME had pronounced anti-inflammatory effect on BMMs but had only a slight effect on HUVECs. In contrast, TMP had considerable anti-inflammatory effect on HUVECs but not on BMMs. Bioinformatic analysis identified a broad spectrum of regulatory genes, in addition to IL-6 gene, and C-X-C motif chemokine ligand 10 (CXCL10) appeared to be another key molecule involved in the mechanism underlying SLI and SME effects. At the molecular level, SME was a major contributor of the anti-inflammatory activity of SLI. CONCLUSIONS: In TLR-activated inflammation, SLI exhibits a "multiple ingredient-multiple target" effect, with SME primarily affecting macrophages and TMP affecting HUVECs. Our study provides evidence for the clinical application of SLI in treating complex diseases involving inflammation-induced injury of both macrophages and epithelial cells. Further bioinformatics studies are required to reveal the entire molecular network involved in TMP, SME, and SLI activity.

Finite-Time and Fixed-Time Synchronization of Coupled Memristive Neural Networks With Time Delay.

This article is devoted to analyzing the finite-time and fixed-time synchronization of coupled memristive neural networks with time delays. The synchronization is leaderless rather than leader-follower as the tracking targets are uncertain. By designing a proper controller and using the Lyapunov method, several sufficient conditions are obtained to achieve the finite-time and fixed-time synchronization of coupled memristive neural networks by introducing a class of special auxiliary matrices. Moreover, the settling times can be estimated for finite-time synchronization that depends on the initial values as well as fixed-time synchronization that is uniformly bounded for any initial values. Finally, two examples are presented to substantiate the effectiveness of the theoretical results.

Effect of Danshen on TLR2-triggered inflammation in macrophages.

BACKGROUND: Danshen (Salvia Miltiorrhiza Radix et Rhizoma) is a valued herbal plant widely used to treat cardiovascular diseases in Asian countries. In modern medicine, innate immunity-induced inflammation is considered a risk factor for cardiovascular diseases. However, little is known about the anti-inflammatory effects and molecular mechanism of Danshen. PURPOSE: To evaluate the molecular mechanisms of Danshen on Toll-like receptor (TLR) 2-triggered inflammation in macrophages and identify its bioactive components. METHODS: Pam3CSK4-stimulated bone marrow-derived macrophages (BMMs) were treated with Danshen water extract (DSE), and the levels of proinflammatory cytokines (interleukin (IL)-6, IL-12 and tumor necrosis factor (TNF)-α) were measured by both real-time quantitative PCR (RT-qPCR) and enzyme-linked immunosorbent assay (ELISA). RNA sequencing (RNA-seq)-based bioinformatics analyses were applied to reveal the novel molecular mechanisms of DSE, followed by western blotting for verification. Additionally, HPLC-UV analysis along with bioassays was performed to identify the bioactive ingredients of DSE. RESULTS: The results of RT-qPCR and ELISA showed that DSE significantly inhibited proinflammatory cytokine expression in a dose-dependent manner. Transcriptome analyses revealed that a wider panel of inflammatory cytokines responded to the regulatory effect of DSE, and that the TNF signaling pathway might have played a vital role. Western blotting data confirmed the involvement of extracellular signal-regulated protein kinases (ERK) and Jun N-terminal Kinase (JNK) related singling pathway. Among the seven components identified in DSE, Danshensu (DSS) and protocatechuic aldehyde (PA) were confirmed as bioactive ones with anti-inflammatory effects. CONCLUSION: DSE showed a promising effect against TLR2-triggered inflammation associated with the inhibition of the TNF cascade down-streamed mitogen-activated protein kinase (MAPK) signaling pathway, in which IL-6 acts as the key effective molecule, and ERK and JNK phosphorylation was inhibited. Notably, DSS and PA were considered bioactive components with anti-inflammatory bioactivity.

Traditional Chinese Medicine Formula Kang Shuai Lao Pian Improves Obesity, Gut Dysbiosis, and Fecal Metabolic Disorders in High-Fat Diet-Fed Mice.

High-fat diet (HFD)-induced obesity is a risk factor for many metabolic disorders including cardiovascular diseases, diabetes, and fatty liver disease. Although there are accumulating evidences supporting the assumption that regulating gut microbiota as well as its metabolic status is able to mitigate obesity, the inner relationship between the obesity-related gut microbiota and the relevant metabolites are not well defined. In current study, we applied a traditional herbal formula Kang Shuai Lao Pian (KSLP) to HFD-fed mice and evaluated its effect against obesity. Emphases were addressed on identifying profiles of gut microbiota and fecal metabolites with the aid of 16S rRNA gene sequencing and non-target fecal metabolomics techniques. We showed that KSLP could improve HFD-induced obesity, glucose tolerance disorder, as well as gut dysbiosis. In the gut, KSLP corrected the increased abundance of Firmicutes and Proteobacteria, increased ratio of Firmicutes/Bacteroidetes, and decreased abundance of Bacteroidetes caused by HFD. KSLP also reversed HFD-induced significant changes in the abundance of certain genus including Intestinimonas, Oscillibacter, Christensenellaceae_R-7_group, Ruminococcaceae_UCG-010, and Aliihoeflea. Pearson correlation analysis indicated that except for Ruminococcaceae_UCG-010, other four genera had positive correlations with obesity. In addition, 22 key fecal metabolites responding to KSLP treatment were identified. Pearson correlation analysis showed that those metabolites are intimately related to KSLP effective genera of Intestinimonas, Oscillibacter, and Christensenellaceae_R-7_group. Our results indicate that KSLP is a promising traditional Chinese medicine (TCM) applicable for individuals with HFD habit. Intestinimonas, Oscillibacter, and Christensenellaceae_R-7_group might be responsible for the regulatory effect of KSLP. Linking of obesity phenotypes with gut microbiota as well as fecal metabolites is therefore a powerful research strategy to reveal the mechanism of obesity and the targets of intervention.

Inhibition of nuclear factor kappa B as a mechanism of Danshensu during Toll-like receptor 2-triggered inflammation in macrophages.

Danshensu (DSS) is a water-soluble phenolic compound in Danshen (Salvia Miltiorrhiza Radix et Rhizoma). Although various pharmacological activities have been recognized, little is known regarding its anti-inflammatory effect and related molecular mode of action. In the current study, bone marrow-derived macrophages (BMMs) were activated by a Toll-like receptor 2 (TLR2) agonist Pam3CSK4 with or without DSS intervention. Production of pro-inflammatory cytokines interleukin-6 (IL-6) and interleukin-12 (IL-12) was detected by both enzyme-linked immunosorbent assay (ELISA) and real-time quantitative PCR (RT-qPCR). Activation of signaling pathways involving nuclear factor kappa B (NF-κB) and mitogen-activated protein kinases (MAPKs) was assessed by Western blot. Additionally, RNA sequencing (RNA-seq) combined with bioinformatics analyses was applied to investigate the molecular mechanisms of DSS. Emphasis was placed on the construction of the protein-protein interaction (PPI) network and transcription factor (TF) enrichment analysis of data including co-regulated differentially expressed genes (DEGs) in the Pam3CSK4 vs. control and DSS vs. Pam3CSK4 groups. The RT-qPCR and ELISA results showed that DSS effectively inhibited the expressions of IL-6 and IL-12, indicating a significant anti-inflammatory effect. Western blot verified that DSS suppressed the phosphorylation of p65, which was in accordance with the results of the TF enrichment analysis. Additionally, the PPI network analysis showed several key molecules, including lactoferrin (Ltf), CC-chemokine receptor 7 (Ccr7), interferon-gamma (IFN-γ) and C-X-C motif chemokine ligand 9 (Cxcl9), to be regulatory genes that responded to DSS treatment. Overall, our study revealed that DSS has a pronounced anti-inflammatory effect involving TLR2 and macrophages through the NF-κB signaling pathway, which supports the novel application of DSS in the treatment of relevant diseases including atherosclerosis and ischemic or ischemic/perfusion injury of the heart and brain.

Profiling the mid-adult cecal microbiota associated with host healthy by using herbal formula Kang ShuaiLao Pian treated mid-adult mice.

With the occurrence of aging process, decreased neuron dopamine, disrupted brown adipose tissue (BAT) remodeling and decreased butyrate level all reflect a weak host healthy in certain degree. Nevertheless, the signs of mid-adult gut microbiota, and its association with host healthy are not well understood. In current study, we deemed to illustrate the associations of age, neuron dopamine, BAT remodeling, butyrate and gut microbiota with the aid of traditional herbal formula Kang Shuai Lao Pian (KSLP), which is known for its anti-aging effect. Here, ELISA was performed to detect the production of brain dopamine, the mass of inguinal white adipose tissue versus interscapular brown adipose tissue (iWAT/iBAT) was calculated and considered as a sign of BAT remodeling, 16S rRNA gene sequencing was used to the detection of gut microbiota profiling and gas chromatography was used to measure the butyrate level in mice feces. Our results indicated mid-adult mice already present distinctive gut microbiota profiling compared with young mice, concomitant with which are the lower brain dopamine level and disrupted brown adipose remodeling. KSLP treatment improved the host healthy and regulated gut microbiota with enriched Firmicutes at the expense of Bacteroidetes, particularly increased the relative abundance of bacteria functionally related to dopamine and butyrate productions, which suggest KSLP treatment constructs a healthier gut environment. In conclusion, modulation of gut microbiota and butyrate may connectively regulate dopamine production and BAT remodeling through gut-brain axis and gut-metabolism axis.

RNA-sequencing based bone marrow cell transcriptome analysis reveals the potential mechanisms of E'jiao against blood-deficiency in mice.

As a health-care food and traditional Chinese medicine, E'jiao, from the skin of Equus animus L, has been used to nourish blood in China for more than 2000 years. In modern medicine, there are also evidences indicate it has a beneficial effect on chemotherapy-caused blood deficiency. However, its mechanism of action for blood invigoration remains unclear. In the present study, we investigated the hematopoietic effect of E'jiao in 5-Fluorouracil-treated mice. In addition to the counting of bone marrow nucleated cells (BMNCs), flow cytometry was used to detect the population of hematopoietic stem cells (HSCs), and colony-forming unit (CFU) was used to assay the differentiation ability of hematopoietic progenitor cells (HPCs). Gene expression profiles of bone marrow cells were obtained from RNA sequencing (RNA-seq) and differentially expressed genes (DEGs) were analyzed with an emphasis on hematopoiesis-related pathways. The results show that E'jiao promotes the proliferation of both BMNCs and HSCs, as well as the differentiation of HPCs. By providing a hematopoiesis-related molecular regulatory network of E'jiao, we point out that the mechanism of E'jiao is associated with pathways including ECM-receptor interaction, Wnt signaling pathway, PI3K-Akt signaling pathway, TGF-beta signaling pathway, Hematopoietic cell lineage and Osteoclast differentiation, in which Ibsp, Col1a1, Col1a2, Notum, Sost, Dkk1, Irx5, Irx3 and Dcn are the key regulatory molecules. These findings provide valuable molecular basis for the mechanism of action of E'jiao.

Pharmacological and transcriptome profiling analyses of Fufang E'jiao Jiang during chemotherapy-induced myelosuppression in mice.

ETHNOPHARMACOLOGICAL RELEVANCE: Fufang E'jiao Jiang (FEJ), a famous traditional Chinese medicine formula from "Liangyi Ointment", consists of five crude drugs, Colla corii asini, Radix Ginseng Rubra, Radix Rehmanniae Preparata, Codonopsis pilosula, and Crataegus pinnatifida Bge. It has pronounced functions of qi-nourishing and blood-activating. Recently, it has been widely used in China as a medication against myelosuppression in cancer treatment. AIM OF THE STUDY: We aimed to investigate the complex mode of action and underlying mechanisms of Fufang E'jiao Jiang (FEJ) regarding its hematopoietic effect. MAIN METHODS: Mice were divided into 5 groups of control, model, high dose FEJ (HFEJ), medium dose FEJ (MFEJ) and low dose FEJ (LFEJ). After 10 days from the administration, bone marrow cells (BMCs) were extracted for nucleated cells counts, flow cytometry analysis of hematopoietic stem cells (HSCs) population, as well as hematopoietic progenitor cells (HPCs) colony-forming unit (CFU) assay. A portion of bone marrow nucleated cells (BMNCs) of MFEJ group were prepared for RNA sequencing (RNA-Seq). The transcriptome data were analyzed based on the differentially expressed genes (DEGs). The molecular mechanisms of FEJ were deducted based on the biological processes and protein-protein interaction (PPI) network. RESULTS: FEJ could significantly increase the percentage of HSCs and the quantities of BFU-E and CFU-GM in BMSCs. FEJ could stimulate the proliferation of HSC and the differentiation of HPC to all lineages, which may thereby accelerate the recovery of hematopoietic function in myelosuppressive mice. By providing transcriptome profile we highlighted several genes and biological processes that might be applicable for FEJ to treat chemotherapy-induced myelosuppression. GO analysis showed that the co-expressed DEGs in FEJ vs model and model vs control group were involved in biological processes including ossification, osteoblast differentiation, bone mineralization and bone development. The KEGG pathway analysis pointed out ECM-receptor interaction and PI3K-AKT signaling pathway as the most relevant pathways to the function of FEJ on myelosuppression. PPI network showed MMP2 and COL1A1 were the relatively large nodes. CONCLUSION: FEJ has the hematopoietic effect in chemotherapy-induced myelosuppression mice. It might be achieved by improving the proliferative capacity of HSCs and the differentiation ability of HPCs. The molecular mode of action of FEJ might be the improvement of the bone marrow microenvironment via ECM-receptor interaction, the promoted proliferation of HSC through regulation of PI3K-AKT signaling pathway, and the involvement of osteoblasts and osteoclasts. MMP2 and COL1A1 appear to be the key relevant regulatory molecules. These results provide significant insight into the hematopoietic effects of FEJ in myelosuppression and point out novel targets for future validating analyses.

Event-Based Synchronization Control for Memristive Neural Networks With Time-Varying Delay.

In this paper, we investigate the global synchronization control problem for memristive neural networks (MNNs) with time-varying delay. A novel event-triggered controller is introduced with the linear diffusive term and discontinuous sign term. In order to greatly reduce the computation cost of the controller under certain event-triggering condition, two event-based control schemes are proposed with static event-triggering condition and dynamic event-triggering condition. Some sufficient conditions are derived by these control schemes to ensure the response MNN to be synchronized with the driving one. Furthermore, under certain event-triggering conditions, a positive lower bound is achieved for the interexecution time to guarantee that Zeno behavior cannot be executed. Finally, numerical simulations are provided to substantiate the effectiveness of the proposed theoretical results.

Global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay via nonlinear coupling.

In this paper, global exponential synchronization of multiple coupled inertial memristive neural networks with time-varying delay is investigated. First, by choosing suitable variable substitution, the inertial memristive neural networks are transformed into first-order differential equations. Next, a novel coupling scheme with linear diffusive term and discontinuous sign function term depending on the first order derivative of state variables is introduced. Based on this coupling scheme, several sufficient conditions for global exponential synchronization of multiple inertial memristive neural networks are derived by using Lyapunov stability theory and some inequality techniques. Finally, several numerical examples are presented to substantiate the effectiveness of the theoretical results.

Transcriptome Profiling Analysis Reveals the Potential Mechanisms of Three Bioactive Ingredients of Fufang E'jiao Jiang During Chemotherapy-Induced Myelosuppression in Mice.

Although multiple bioactive components have been identified in Fufang E'jiao Jiang (FEJ), their hematopoietic effects and molecular mode of action in vivo are still not fully understood. In the current study, we analyzed the effects of martynoside, R-notoginsenoside R2 (R2), and 20S-ginsenoside Rg2 (Rg2) in a 5-fluorouracil-induced myelosuppression mouse model. Bone marrow nucleated cells (BMNCs) counts, hematopoietic progenitor cell colony-forming unit (CFU) assay, as well as flow cytometry analysis of Lin-/c-kit+/Sca-1+ hematopoietic stem cell (HSC) population were conducted, and bone marrow cells were subjected to RNA sequencing. The transcriptome data were processed based on the differentially expressed genes. The results of the analysis show that each of the three compounds stimulates BMNCs and HSC growth, as well as burst-forming unit-erythroid and colony-forming unit granulocyte-monocyte colony expansion. The most relevant transcriptional changes appeared to be involved in regulation of hematopoietic cell lineage, NF-κB and TNF-α signaling, inhibition of inflammation, and acceleration of hematopoietic cell recovery. Notably, the individual compounds shared similar but specified transcriptome profiles. Taken together, the hematopoietic effects for the three tested compounds of FEJ are confirmed in this myelosuppression mouse model. The transcriptome maps of these effects provide valuable information concerning their underlying mechanisms and provide a framework for the continued study of the complex mode of action of FEJ.

Global exponential synchronization of inertial memristive neural networks with time-varying delay via nonlinear controller.

The paper is concerned with the synchronization problem of inertial memristive neural networks with time-varying delay. First, by choosing a proper variable substitution, inertial memristive neural networks described by second-order differential equations can be transformed into first-order differential equations. Then, a novel controller with a linear diffusive term and discontinuous sign term is designed. By using the controller, the sufficient conditions for assuring the global exponential synchronization of the derive and response neural networks are derived based on Lyapunov stability theory and some inequality techniques. Finally, several numerical simulations are provided to substantiate the effectiveness of the theoretical results.