Proteomics analysis for key molecules in adrenal glands of Wenchang chickens for their resistance to heat stress.

Rising temperatures and intensified agricultural practices have heightened heat stress (HS)-related challenges in poultry farming, notably heat-induced sudden death in chickens. Wenchang chickens, recognized for their heat resistance, have emerged as the potential candidates for improving the economic efficiency of poultry farming. The adrenal gland plays a crucial role in preventing HS-induced heart failure sudden death by secreting hormones. However, little is known about the damage to and resilience of Wenchang chicken adrenal glands during HS. In this study, 34 healthy Wenchang chickens with similar weights were selected for formal experimentation, with 10 as the control group (Con). Following a single exposure to acute HS of 42 ± 1°C and 65% relative humidity for 5 h, 15 deceased individuals formed the HS death (HSD) group, and 9 survived comprised the HS survival (HSS) group. ELISA revealed significant higher (P < 0.05) levels of COR and NE in the HSS and the lowest levels of CORT and EPI in the HSD. Histopathological analysis indicated major degeneration in HSS cortical and chromaffin cells and extensive cell necrosis (nuclear pyknosis) in HSD. Proteomic analysis identified 572 DEPs in HSD vs. Con and 191 DEPs in HSS vs. Con. Bioinformatics highlighted ER protein processing, especially ERAD as a key pathway for heat stress resistance (HSR) in the adrenal gland, with HSPH1, DNAJA1, HSP90AA1, HSPA8 and HERPUD1 identified as regulating key molecules. Western blotting validated significantly higher (P < 0.01) protein levels in both HSS and HSD compared to the Con. Immunohistochemical staining showed increased cytoplasmic HSPH1-positive signal intensity under HS and enhanced HSP90AA1 nuclear signals, strongest in HSS. In summary, HS induces pathological damage in Wenchang chicken adrenal glands, affecting hormone secretion, and various heat shock proteins play crucial roles in cellular resistance. These results elucidate the biological basis of HSR in Wenchang chickens from the perspective of the adrenal gland and provide necessary research foundations for enhancing economic performance of various broilers in high-heat environments and screening drugs for HS treatment.

Integrating Lipidomics, Metabolomics, and Network Pharmacology to Reveal the Mechanism of Cannabidiol against Inflammation in High-Fat, High-Cholesterol Diet-Induced Mice.

Inflammation plays a critical role in the development of numerous diseases. Cannabidiol (CBD), found in hemp, exhibits significant pharmacological activities. Accumulating evidence suggests that CBD has anti-inflammatory and cardiovascular protection effects, but the potential mechanisms require further exploration. In this study, we aimed to reveal the mechanisms of CBD against high-fat, high-cholesterol (HFC) diet-induced inflammation combining metabolomics with network pharmacology. First, plasma lipidomics results indicated that oxidized lipids could serve as potential biomarkers for HFC diet-induced inflammation, and CBD reversed the elevated levels of oxidized lipids. The HFC diet was also found to enhance intestinal permeability, facilitating the entry of lipopolysaccharides (LPSs) into the circulatory system and subsequently increasing systemic inflammation. Additionally, cell metabolomic results indicated that CBD could reverse 10 important differential metabolites in LPS-induced RAW 264.7 cells. Using network pharmacology, we identified 49 core targets, and enrichment analysis revealed that arachidonic acid was the most significantly affected by CBD, which was closely associated with inflammation. Further integrated analysis focused on three key targets, including PTGS2, ALOX5, and ALOX15. Molecular docking showed high affinities between key targets and CBD, and qPCR further demonstrated that CBD could reverse the mRNA expression of these key targets in RAW 264.7 cells. Collectively, this finding integrates lipidomics and metabolomics with network pharmacology to elucidate the anti-inflammatory effects of CBD and validates key therapeutic targets.

Multi-omics revealed anti-fatigue property of polyphenol from areca nut.

BACKGROUND: Areca nut polyphenols (AP) that extracted from areca nut, have been demonstrated for their potential of anti-fatigue effects. However, the underlying mechanisms for the anti-fatigue properties of AP has not been fully elucidated to date. Previous studies have predominantly concentrated on single aspects, such as antioxidation and anti-inflammation, yet have lacked comprehensive multi-dimensional analyses. PURPOSE: To explore the underlying mechanism of AP in exerting anti-fatigue effects. METHODS: In this study, we developed a chronic sleep deprivation-induced fatigue model and used physiological, hematological, and biochemical indicators to evaluate the anti- fatigue efficacy of AP. Additionally, a multi-omics approach was employed to reveal the anti-fatigue mechanisms of AP from the perspective of microbiome, metabolome, and proteome. RESULTS: The detection of physiology, hematology and biochemistry index indicated that AP markedly alleviate mice fatigue state induced by sleep deprivation. The 16S rRNA sequencing showed the AP promoted the abundance of probiotics (Odoribacter, Dubosiella, Marvinbryantia, and Eubacterium) and suppressed harmful bacteria (Ruminococcus). On the other hand, AP was found to regulate the expression of colonic proteins, such as increases of adenosine triphosphate (ATP) synthesis and mitochondrial function related proteins, including ATP5A1, ATP5O, ATP5L, ATP5H, NDUFA, NDUFB, NDUFS, and NDUFV. Serum metabolomic analysis revealed AP upregulated the levels of anti-fatigue amino acids, such as taurine, leucine, arginine, glutamine, lysine, and l-proline. Hepatic proteins express levels, especially tricarboxylic acid (TCA) cycle (CS, SDHB, MDH2, and DLST) and redox-related proteins (SOD1, SOD2, GPX4, and PRDX3), were significantly recovered by AP administration. Spearman correlation analysis uncovered the strong correlation between microbiome, metabolome and proteome, suggesting the anti-fatigue effects of AP is attribute to the energy homeostasis and redox balance through gut-liver axis. CONCLUSION: AP increased colonic ATP production and improve mitochondrial function by regulating gut microbiota, and further upregulated anti-fatigue amino acid levels in the blood. Based on the gut-liver axis, AP upregulated the hepatic tricarboxylic acid cycle and oxidoreductase-related protein expression, regulating energy homeostasis and redox balance, and ultimately exerting anti-fatigue effects. This study provides insights into the anti-fatigue mechanisms of AP, highlighting its potential as a therapeutic agent.

Cannabidiol (CBD) Inhibits Foam Cell Formation via Regulating Cholesterol Homeostasis and Lipid Metabolism.

SCOPE: The cannabidiol (CBD) in hemp oil has important pharmacological activities. Accumulating evidence suggests that CBD is beneficial in the cardiovascular system and has been applied as a health supplement for atherosclerosis. However, the mechanism remains unclear. METHODS AND RESULTS: This study investigates the impact of CBD on foam cell formation, cholesterol homeostasis, and lipid metabolism in macrophages. CBD elevates the levels of peroxisome proliferator-activated receptor gamma (PPARγ) and its associated targets, such as ATP binding transporter A1/G1 (ABCA1/ABCG1), thus reducing foam cell formation, and increasing cholesterol efflux within macrophages. Notably, the upregulation of ABCA1 and ABCG1 expression induced by CBD is found to be attenuated by both a PPARγ inhibitor and PPARγ small interfering RNA (siRNA). Moreover, transfection of PPARγ siRNA results in a decrease in the inhibitory effect of CBD on foam cell formation and promotion of cholesterol efflux. Through lipidomics analysis, the study finds that CBD significantly reverses the enhancement of ceramide (Cer). Correlation analysis indicates a negative association between Cer level and the expression of ABCA1/ABCG1. CONCLUSION: This study confirms that CBD can be an effective therapeutic candidate for atherosclerosis treatment by activating PPARγ, up-regulating ABCA1/ABCG1 expression, and down-regulating Cer level.

Tris(1,3-dichloro-2-propyl) phosphate-induced cytotoxicity and its associated mechanisms in human A549 cells.

Tris(1,3-dichloro-2-propyl) phosphate (TDCIPP) is a widely used organophosphorus flame retardant and has been detected in various environmental matrices including indoor dust. Inhalation of indoor dust is one of the most important pathways for human exposure to TDCIPP. However, its adverse effects on human lung cells and potential impacts on respiratory toxicity are largely unknown. In the current study, human non-small cell carcinoma (A549) cells were selected as a cell model, and the effects of TDCIPP on cell viability, cell cycle, cell apoptosis, and underlying molecular mechanisms were investigated. Our data indicated a concentration-dependent decrease in the cell viability of A549 cells after exposure to TDCIPP for 48 h, with half lethal concentration (LC50) being 82.6 µM. In addition, TDCIPP caused cell cycle arrest mainly in the G0/G1 phase by down-regulating the mRNA expression of cyclin D1, CDK4, and CDK6, while up-regulating the mRNA expression of p21 and p27. In addition, cell apoptosis was induced via altering the expression levels of Bcl-2, BAX, and BAK. Our study implies that TDCIPP may pose potential health risks to the human respiratory system and its toxicity should not be neglected.

Multiomics Analysis Revealed Colorectal Cancer Pathogenesis.

Gut microbiota-derived microbial compounds may link to the pathogenesis of colorectal cancer (CRC). However, the role of the host-microbiome in the incidence and progression of CRC remains elusive. We performed 16S rRNA sequencing, metabolomics, and proteomic studies on samples from 85 CRC patients who underwent colonoscopy examination and found two distinct changed patterns of microbiome in CRC patients. The relative abundances of Catabacter and Mogibacterium continuously increased from intramucosal carcinoma to advanced stages, whereas Clostridium, Anaerostipes, Vibrio, Flavonifractor, Holdemanella, and Hungatella were significantly altered only in intermediate lesions. Fecal metabolomics analysis exhibited consistent increases in bile acids, indoles, and urobilin as well as a decrease in heme. Serum metabolomics uncovered the highest levels of bilin, glycerides, and nucleosides together with the lowest levels of bile acids and amino acids in the stage of intermediate lesions. Three fecal and one serum dipeptides were elevated in the intermediate lesions. Proteomics analysis of colorectal tissues showed that oxidation and autophagy through the PI3K/Akt-mTOR signaling pathway contribute to the development of CRC. Diagnostic analysis showed multiomics features have good predictive capability, with AUC greater than 0.85. Our overall findings revealed new candidate biomarkers for CRC, with potentially significant diagnostic and prognostic capabilities.

MS based foodomics: An edge tool integrated metabolomics and proteomics for food science.

Foodomics has become a popular methodology in food science studies. Mass spectrometry (MS) based metabolomics and proteomics analysis played indispensable roles in foodomics research. So far, several methodologies have been developed to detect the metabolites and proteins in diets and consumers, including sample preparation, MS data acquisition, annotation and interpretation. Moreover, multiomics analysis integrated metabolomics and proteomics have received considerable attentions in the field of food safety and nutrition, because of more comprehensive and deeply. In this context, we intended to review the emerging strategies and their applications in MS-based foodomics, as well as future challenges and trends. The principle and application of multiomics were also discussed, such as the optimization of data acquisition, development of analysis algorithm and exploration of systems biology.

Long-term intake of thermo-induced oxidized oil results in anxiety-like and depression-like behaviors: involvement of microglia and astrocytes.

Frequent consumption of fried foods has been strongly associated with a higher risk of anxiety and depression, particularly among young individuals. The existing evidence has indicated that acrylamide produced from starchy foods at high temperatures can induce anxious behavior. However, there is limited research on the nerve damage caused by thermo-induced oxidized oil (TIOO). In this study, we conducted behavioral tests on mice and found that prolonged consumption of TIOO led to significant anxiety behavior and a tendency toward depression. TIOO primarily induced these two emotional disorders by affecting the differentiation of microglia, the level of inflammatory factors, the activation of astrocytes, and glutamate circulation in brain tissue. By promoting the over-differentiation of microglia into M1 microglia, TIOO disrupted their differentiation balance, resulting in an up-regulation of inflammatory factors (IL-1ß, IL-6, TNF-α, NOS2) in M1 microglia and a down-regulation of neuroprotective factors IL-4/IL-10 in M2 microglia, leading to nerve damage. Moreover, TIOO activated astrocytes, accelerating their proliferation and causing GFAP precipitation, which damaged astrocytes. Meanwhile, TIOO stimulates the secretion of the BDNF and reduces the level of the glutamate receptor GLT-1 in astrocytes, leading to a disorder in the glutamate-glutamine cycle, further exacerbating nerve damage. In conclusion, this study suggests that long-term intake of thermo-induced oxidized oil can trigger symptoms of anxiety and depression.

Development and application of mass spectrometric molecular networking for analyzing the ingredients of areca nut.

Areca nut (Areca catechu L.) is commonly consumed as a chewing food in the Asian region. However, the investigations into the components of areca nut are limited. In this study, we have developed an approach that combines mass spectrometry with feature-based molecular network to explore the chemical characteristics of the areca nut. In comparison to the conventional method, this technique demonstrates a superior capability in annotating unknown compounds present in areca nut. We annotated a total of 52 compounds, including one potential previously unreported alkaloid, one carbohydrate, and one phenol and confirmed the presence of 7 of them by comparing with commercial standards. The validated method was used to evaluate chemical features of areca nut at different growth stages, annotating 25 compounds as potential biomarkers for distinguishing areca nut growth stages. Therefore, this approach offers a rapid and accurate method for the component analysis of areca nut.

SpecLipIDA: a pseudotargeted lipidomics approach for polyunsaturated fatty acids in milk.

Polyunsaturated fatty acids (PUFAs), such as arachidonic acid (ARA), eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA), play an important role in the nutritional value of milk lipids. However, a comprehensive analysis of PUFAs and their esters in milk is still scarce. In this study, we developed a novel pseudotargeted lipidomics approach, named SpecLipIDA, for determining PUFA lipids in milk. Triglycerides (TGs) and phospholipids (PLs) were separated using NH2 cartridges, and mass spectrometry data in the information-dependent acquisition (IDA) mode were preprocessed by MS-DIAL, leading to improved identification in subsequent targeted analysis. The target matching algorithm, based on specific lipid cleavage patterns, demonstrated enhanced identification of PUFA lipids compared to the lipid annotations provided by MS-DIAL and GNPS. The approach was applied to identify PUFA lipids in various milk samples, resulting in the detection of a total of 115 PUFA lipids. The results revealed distinct differences in PUFA lipids among different samples, with 44 PUFA lipids significantly contributing to these differences. Our study indicated that SpecLipIDA is an efficient method for rapidly and specifically screening PUFA lipids.

The digestion fates of lipids with different unsaturated levels in people with different age groups.

The digestion behavior of lipids plays a crucial role in their nutritional bioaccessibility, which subsequently impacts human health. This study aims to investigate potential variations in lipid digestion profiles among individuals of different ages, considering the distinct physiological functions of the gastrointestinal tract in infants, aging populations, and healthy young adults. The digestion fates of high oleic peanut oil (HOPO), sunflower oil (SO), and linseed oil (LINO) were investigated using in vitro digestion models representing infants, adults, and elders. Comparatively, lipid digestion proved to be more comprehensive in adults, leading to free fatty acid (FFA) levels of 64.53%, 62.32%, and 57.90% for HOPO, SO, and LINO, respectively. Besides, infants demonstrated propensity to selectively release FFAs with shorter chain lengths and higher saturation levels during the digestion. In addition, in the gastric phase, particle sizes among the elderly were consistently larger than those observed in infants and adults, despite adults generating approximately 15% FFAs within the stomach. In summary, this study enhances our fundamental comprehension of how lipids with varying degrees of unsaturation undergo digestion in diverse age groups.

Windows Scanning Multiomics: Integrated Metabolomics and Proteomics.

Metabolomics and proteomics offer significant advantages in understanding biological mechanisms at two hierarchical levels. However, conventional single omics analysis faces challenges due to the high demand for specimens and the complexity of intrinsic associations. To obtain comprehensive and accurate system biological information, we developed a multiomics analytical method called Windows Scanning Multiomics (WSM). In this method, we performed simultaneous extraction of metabolites and proteins from the same sample, resulting in a 10% increase in the coverage of the identified biomolecules. Both metabolomics and proteomics analyses were conducted by using ultrahigh-performance liquid chromatography mass spectrometry (UPLC-MS), eliminating the need for instrument conversions. Additionally, we designed an R-based program (WSM.R) to integrate mathematical and biological correlations between metabolites and proteins into a correlation network. The network created from simultaneously extracted biomolecules was more focused and comprehensive compared to those from separate extractions. Notably, we excluded six pairs of false-positive relationships between metabolites and proteins in the network established using simultaneously extracted biomolecules. In conclusion, this study introduces a novel approach for multiomics analysis and data processing that greatly aids in bioinformation mining from multiomics results. This method is poised to play an indispensable role in systems biology research.

Oilomics: An important branch of foodomics dealing with oil science and technology.

Oil is one of three nutritious elements. The application of omics techniques in the field of oil science and technology is attracted increasing attention. Oilomics, which emerged as an important branch of foodomics, has been widely used in various aspects of oil science and technology. However, there are currently no articles systematically reviewing the application of oilomics. This paper aims to provide a critical overview of the advantages and value of oilomics technology compared to traditional techniques in various aspects of oil science and technology, including oil nutrition, oil processing, oil quality, safety, and traceability. Moreover, this article intends to review major issues in oilomics and give a comprehensive, critical overview of the current state of the art, future challenges and trends in oilomics, with a view to promoting the optimal application and development of oilomics technology in oil science and technology.

Polyporus umbellatus polysaccharide iron-based nanocomposite for synergistic M1 polarization of TAMs and combinational anti-breast cancer therapy.

M1 polarization of tumor-associated macrophages (TAMs) is a promising approach to breaking through therapeutic barriers imposed by the immunosuppressive tumor microenvironment (TME). As a clinically-used immunopotentiator for cancer patients after chemotherapies; however, the immunomodulatory mechanism and potential of polyporus polysaccharide (PPS) remains unclear. Here, we present mannose-decorated PPS-loaded superparamagnetic iron-based nanocomposites (Man/PPS-SPIONs) for synergistic M1 polarization of TAMs and consequent combinational anti-breast cancer therapy. Once internalized by M2-like TAMs, PPS released from Man/PPS-SPIONs induces the M1 polarization via IFN-γ secretion and downstream NF-κB pathway activating. The SPIONs within the nanocomposites mediate a Fenton reaction, producing OH· and activating the subsequent NF-κB/MAPK pathway, further facilitating the M1 polarization. The Man/PPS-SPIONs thereby establish a positive feedback loop of M1 polarization driven by the "IFN-γ-Fenton-NF-κB/MAPK" multi-pathway, leading to a series of anti-tumoral immunologic responses in the TME and holding promising potential in combinational anticancer therapies. Our study offers a new strategy to amplify TME engineering by combinational natural carbohydrate polymers and iron-based materials.

Cannabidiol-Decorated Berberine-Loaded Microemulsions Improve IBS-D Therapy Through Ketogenic Diet-Induced Cannabidiol Receptors Overexpression.

Background: Berberine (BR) shows promise as a candidate for treating irritable bowel syndrome with diarrhea (IBS-D). However, the undesired physicochemical properties and poor oral absorption limit its clinical translation. A ketogenic diet (KD) can induce intestinal overexpression of cannabidiol (CB) receptors, which may offer a potential target for IBS-D-specific delivery of BR. Methods: The microemulsions loaded with BR and decorated with cannabidiol (CBD/BR-MEs) were developed through a one-step emulsion method. The pharmaceutical behaviors of the CBD/BR-MEs were measured using dynamic light scattering and high-performance liquid chromatography. The efficacy of the anti-IBS-D therapy was evaluated by assessing fecal water content, Bristol score, and AWR score. The intestinal permeability were assessed through immunofluorescent staining of CB1 and ZO-1, respectively. The signaling of CREB/BDNF/c-Fos was also studied along with immunofluorescent and immunohistochemical examination of brain sections. Results: The CBD/BR-MEs, which had a particle size of approximately 30 nm and a surface density of 2% (wt%) CBD, achieved greater than 80% (wt%) encapsulation efficiency of BR. The pharmacokinetics performance of CBD/BR-MEs was significantly improved in the KD-fed IBS-D rats than the standard diet-fed ones, which is highly related to intestinal expression of CB1 receptors. The treatment with CBD/BR-MEs and KD exhibited evident comprehensive advantages over the other groups in terms of anti-IBS-D efficacy. CBD/BR-MEs and KD synergistically decreased intestinal permeability. Moreover, the treatment with CBD/BR-MEs and KD not only blocked the CREB/BDNF/c-Fos signaling in the brain but also decreased the levels of neurotrophic factors, neurotransmitters, and inflammatory cytokines in the serum of IBS-D model rats. Conclusion: Such a design represents the first attempt at IBS-D-targeted drug delivery for improved oral absorption and efficacy through KD-induced target exposure, which holds promising potential for the treatment of IBS-D.

Analysis of Phospholipids in Digestion Using Hybrid IDA and SWATH Acquisition: An Example for Krill Oil.

The composition and digestion of phospholipid-rich foods have important effects on the health of the body. Herein, a model-assisted liquid chromatography coupling mass spectrometry (LC-MS) method was established to analyze the phosphatidylcholine (PC) and lyso-phosphatidylcholine (LPC) species in krill oil before and after digestion. According to the confirmed PC and LPC species in the IDA (information dependent acquisition) results, three categories of mathematical models were set up, involving the retention time (RT), carbon number and unsaturation degree of the fatty acyl chain. All of the regression coefficient values (R2) were greater than 0.90, showing satisfactory fitting results. On this basis, using the computationally created precursor ion mass of PC and LPC species, 12 extra PC species and 4 LPC species were found in the SWATH (sequential windowed acquisition of all theoretical fragment ions) results. The PC and LPC compositions in the final digestive products had obvious differences among the different krill oils with different phospholipid content. Furthermore, more than half of the LPC species in the final digestive products were newly generated, indicating that LPC was one of basic constituents in the digestive products of krill oil. In conclusion, model-assisted hybrid IDA and SWATH acquisition has excellent detection performance, contributing to deep studies of the formations and functions of phospholipids.

Development and application of a data processing method for food metabolomics analysis.

Food metabolomics is described as the implementation of metabolomics to food systems such as food materials, food processing, and food nutrition. These applications generally create large amounts of data, and although technologies exist to analyze these data and different tools exist for various ecosystems, downstream analysis is still a challenge and the tools are not integrated into a single method. In this article, we developed a data processing method for untargeted LC-MS data in metabolomics, derived from the integration of computational MS tools from OpenMS into the workflow system Konstanz Information Miner (KNIME). This method can analyze raw MS data and produce high-quality visualization. A MS1 spectra-based identification, two MS2 spectra-based identification workflows and a GNPSExport-GNPS workflow are included in this method. Compared with conventional approaches, the results of MS1&MS2 spectra-based identification workflows are combined in this approach via the tolerance of retention times and mass to charge ratios (m/z), which can greatly reduce the rate of false positives in metabolomics datasets. In our example, filtering with the tolerance removed more than 50% of the possible identifications while retaining 90% of the correct identification. The results demonstrated that the developed method is a rapid and reliable method for food metabolomics data processing.

Proteomic analysis reveals the mechanisms of the astaxanthin suppressed foam cell formation.

AIMS: Lipid metabolism in macrophages plays a key role in atherosclerosis development. Excessive low-density lipoprotein taken by macrophages leads to foam cell formation. In this study, we aimed to investigate the effect of astaxanthin on foam cells, and using mass spectrometry-based proteomic approaches to identified the protein expression changes of foam cells. MAIN METHODS: The foam cell model was build, then treated with astaxanthin, and tested the content of TC and FC. And proteomics analysis was used in macrophage, macrophage-derived foam cells and macrophage-derived foam cells treated with AST. Then bioinformatic analyses were performed to annotate the functions and associated pathways of the differential proteins. Finally, western blot analysis further confirmed the differential expression of these proteins. KEY FINDINGS: Total cholesterol (TC) while free cholesterol (FC) increased in foam cells treated with astaxanthin. The proteomics data set presents a global view of the critical pathways involved in lipid metabolism included PI3K/CDC42 and PI3K/RAC1/TGF-ß1 pathways. These pathways significantly increased cholesterol efflux from foam cells and further improved foam cell-induced inflammation. SIGNIFICANCE: The present finding provide new insights into the mechanism of astaxanthin regulate lipid metabolism in macrophage foam cells.

Effervescent cannabidiol solid dispersion-doped dissolving microneedles for boosted melanoma therapy via the "TRPV1-NFATc1-ATF3" pathway and tumor microenvironment engineering.

BACKGROUND: Conventional dissolving microneedles (DMNs) face significant challenges in anti-melanoma therapy due to the lack of active thrust to achieve efficient transdermal drug delivery and intra-tumoral penetration. METHODS: In this study, the effervescent cannabidiol solid dispersion-doped dissolving microneedles (Ef/CBD-SD@DMNs) composed of the combined effervescent components (CaCO3 & NaHCO3) and CBD-based solid dispersion (CBD-SD) were facilely fabricated by the "one-step micro-molding" method for boosted transdermal and tumoral delivery of cannabidiol (CBD). RESULTS: Upon pressing into the skin, Ef/CBD-SD@DMNs rapidly produce CO2 bubbles through proton elimination, significantly enhancing the skin permeation and tumoral penetration of CBD. Once reaching the tumors, Ef/CBD-SD@DMNs can activate transient receptor potential vanilloid 1 (TRPV1) to increase Ca2+ influx and inhibit the downstream NFATc1-ATF3 signal to induce cell apoptosis. Additionally, Ef/CBD-SD@DMNs raise intra-tumoral pH environment to trigger the engineering of the tumor microenvironment (TME), including the M1 polarization of tumor-associated macrophages (TAMs) and increase of T cells infiltration. The introduction of Ca2+ can not only amplify the effervescent effect but also provide sufficient Ca2+ with CBD to potentiate the anti-melanoma efficacy. Such a "one stone, two birds" strategy combines the advantages of effervescent effects on transdermal delivery and TME regulation, creating favorable therapeutic conditions for CBD to obtain stronger inhibition of melanoma growth in vitro and in vivo. CONCLUSIONS: This study holds promising potential in the transdermal delivery of CBD for melanoma therapy and offers a facile tool for transdermal therapies of skin tumors.

Comparative evaluation of static and dynamic simulated digestion models.

BACKGROUND: The digestion behavior of lipids plays a crucial role in their nutritional values. Currently, the complex dynamic variations of human gastrointestinal conditions are considered in simulated digestion models. The present study compared the digestion behavior of glycerol trilaurate (GTL), glycerol tripalmitate (GTP) and glycerol tristearate (GTS) in a static in vitro digestion model and a dynamic in vitro digestion model. In the dynamic digestion model, the parameters of gastric juice secretion, the rate of gastric emptying, the secretion of intestinal juice and the pH variations were estimated. RESULTS: The dynamic digestion model showed a certain extent of gastric lipase hydrolysis, while almost no lipolysis happened in the gastric phase of the static digestion model. A smoother digestive behavior was observed in the dynamic model than that in the static model. In the static model, the particle size distribution in gastric and intestinal phase changed rapidly in all triacylglycerol (TAG) groups. The change of particle size during the whole digestion period in GTL is more moderate than GTP and GTS. In addition, the final free fatty acids release degree was 58.558%, 54.36%, and 52.97% for GTL, GTP, and GTS, respectively. CONCLUSION: This study illustrated the different digestion profiles of TAGs in two digestion models and the results will contribute to a better understanding of different in vitro digestion models in lipid digestion. © 2023 Society of Chemical Industry.