Nitrogen-doped titanium dioxide/schwertmannite nanocomposites as heterogeneous photo-Fenton catalysts with enhanced efficiency for the degradation of bisphenol A.

Potential health risks related to environmental endocrine disruptors (EEDs) have aroused research hotspots at the forefront of water treatment technologies. Herein, nitrogen-doped titanium dioxide/schwertmannite nanocomposites (N-TiO2/SCH) have been successfully developed as heterogeneous catalysts for the degradation of typical EEDs via photo-Fenton processes. Due to the sustainable Fe(III)/Fe(II) conversion induced by photoelectrons, as-prepared N-TiO2/SCH nanocomposites exhibit much enhanced efficiency for the degradation of bisphenol A (BPA; ca. 100% within 60 min under visible irradiation) in a wide pH range of 3.0-7.8, which is significantly higher than that of the pristine schwertmannite (ca. 74.5%) or N-TiO2 (ca. 10.8%). In this photo-Fenton system, the efficient degradation of BPA is mainly attributed to the oxidation by hydroxyl radical (•OH) and singlet oxygen (1O2). Moreover, the possible catalytic mechanisms and reaction pathway of BPA degradation are systematically investigated based on analytical and photoelectrochemical analyses. This work not only provides a feasible means for the development of novel heterogeneous photo-Fenton catalysts, but also lays a theoretical foundation for the potential application of mineral-based materials in wastewater treatment.

Tobramycin-mediated self-assembly of DNA nanostructures for targeted treatment of Pseudomonas aeruginosa-infected lung inflammation.

Pseudomonas aeruginosa (PA) is one of the most common multidrug-resistant pathogens found in clinics, often manifesting as biofilms. However, due to the emergence of superbugs in hospitals and the overuse of antibiotics, the prevention and treatment of PA infections have become increasingly challenging. Utilizing DNA nanostructures for packaging and delivering antibiotics presents an intervention strategy with significant potential. Nevertheless, construction of functional DNA nanostructures with multiple functionalities and enhanced stability in physiological settings remains challenging. In this study, the authors propose a magnesium-free assembly method that utilizes tobramycin (Tob) as a mediator to assemble DNA nanostructures, allowing for the functionalization of DNA nanostructures by combining DNA and antibiotics. Additionally, our study incorporates maleimide-modified DNA into the nanostructures to act as a targeting moiety specifically directed towards the pili of PA. The targeting ability of the constructed functional DNA nanostructure significantly improves the local concentration of Tob, thereby reducing the side effects of antibiotics. Our results demonstrate the successful construction of a maleimide-decorated Tob/DNA nanotube (NTTob-Mal) for the treatment of PA-infected lung inflammation. The stability and biocompatibility of NTTob-Mal are confirmed, highlighting its potential for clinical applications. Furthermore, its specificity in recognizing and adhering to PA has been validated. In vitro experiments have shown its efficacy in inhibiting PA biofilm formation, and in a murine model, NTTob-Mal has exhibited significant therapeutic effectiveness against PA-induced pneumonia. In summary, the proposed antibiotic drug-mediated DNA nanostructure assembly approach holds promise as a novel strategy for targeted treatment of PA infections.

Subband Independent Component Analysis for Coherence Enhancement.

OBJECTIVE: Cortico-muscular coherence (CMC) is becoming a common technique for detection and characterization of functional coupling between the motor cortex and muscle activity. It is typically evaluated between surface electromyogram (sEMG) and electroencephalogram (EEG) signals collected synchronously during controlled movement tasks. However, the presence of noise and activities unrelated to observed motor tasks in sEMG and EEG results in low CMC levels, which often makes functional coupling difficult to detect. METHODS: In this paper, we introduce Coherent Subband Independent Component Analysis (CoSICA) to enhance synchronous cortico-muscular components in mixtures captured by sEMG and EEG. The methodology relies on filter bank processing to decompose sEMG and EEG signals into frequency bands. Then, it applies independent component analysis along with a component selection algorithm for re-synthesis of sEMG and EEG designed to maximize CMC levels. RESULTS: We demonstrate the effectiveness of the proposed method in increasing CMC levels across different signal-to-noise ratios first using simulated data. Using neurophysiological data, we then illustrate that CoSICA processing achieves a pronounced enhancement of original CMC. CONCLUSION: Our findings suggest that the proposed technique provides an effective framework for improving coherence detection. SIGNIFICANCE: The proposed methodologies will eventually contribute to understanding of movement control and has high potential for translation into clinical practice.

Solid self-microemulsifying drug delivery system (S-SMEDDS) prepared by spray drying to improve the oral bioavailability of cinnamaldehyde (CA).

The aim of this study was to prepare a solid self-microemulsifying drug delivery system (S-SMEDDS) of cinnamaldehyde (CA) by spray drying technique to improve the oral bioavailability of CA. The preparation of CA S-SMEDDS with maltodextrin as the solid carrier, a core-wall material mass ratio of 1:1, a solid content of 20% (w/v), an inlet air temperature of 150 °C, an injection speed of 5.2 mL/min, and an atomization pressure of 0.1 MPa was determined by using the encapsulation rate as the index of investigation. Differential scanning calorimetry (DSC) revealed the possibility of CA being encapsulated in S-SMEDDS in an amorphous form. The in-vitro release showed that the total amount of CA released by S-SMEDDS was approximately 1.3 times higher than that of the CA suspension. Pharmacokinetic results showed that the relative oral bioavailability of CA S-SMEDDS was also increased to 1.6-fold compared to CA suspension. Additionally, we explored the mechanism of CA uptake and transport of lipid-soluble drugs CA by S-SMEDDS in a Caco-2/HT29 cell co-culture system for the first time. The results showed that CA S-SMEDDS uptake on the co-culture model was mainly an energy-dependent endocytosis mechanism, including lattice protein-mediated endocytosis and vesicle-mediated endocytosis. Transport experiments showed that CA S-SMEDDS significantly increased the permeability of CA in this model. These findings suggested that CA S-SMEDDS is an effective oral solid dosage form for increasing the oral bioavailability of lipid-soluble drug CA.

Comprehensive exploration of multi-modal and multi-branch imaging markers for autism diagnosis and interpretation: insights from an advanced deep learning model.

Autism spectrum disorder is a complex neurodevelopmental condition with diverse genetic and brain involvement. Despite magnetic resonance imaging advances, autism spectrum disorder diagnosis and understanding its neurogenetic factors remain challenging. We propose a dual-branch graph neural network that effectively extracts and fuses features from bimodalities, achieving 73.9% diagnostic accuracy. To explain the mechanism distinguishing autism spectrum disorder from healthy controls, we establish a perturbation model for brain imaging markers and perform a neuro-transcriptomic joint analysis using partial least squares regression and enrichment to identify potential genetic biomarkers. The perturbation model identifies brain imaging markers related to structural magnetic resonance imaging in the frontal, temporal, parietal, and occipital lobes, while functional magnetic resonance imaging markers primarily reside in the frontal, temporal, occipital lobes, and cerebellum. The neuro-transcriptomic joint analysis highlights genes associated with biological processes, such as "presynapse," "behavior," and "modulation of chemical synaptic transmission" in autism spectrum disorder's brain development. Different magnetic resonance imaging modalities offer complementary information for autism spectrum disorder diagnosis. Our dual-branch graph neural network achieves high accuracy and identifies abnormal brain regions and the neuro-transcriptomic analysis uncovers important genetic biomarkers. Overall, our study presents an effective approach for assisting in autism spectrum disorder diagnosis and identifying genetic biomarkers, showing potential for enhancing the diagnosis and treatment of this condition.

Rab26 alleviates sepsis-induced immunosuppression as a master regulator of macrophage ferroptosis and polarization shift.

Macrophage dysfunction is a significant contributor to more than 70 % of sepsis-related deaths, specifically secondary bacterial infections, during the immunosuppression stage of sepsis. Nevertheless, the role of Rab26 in this context remains unclear. In this study, we observed a substantial decrease in Rab26 expression in macrophages during the immunosuppressive phase of sepsis, which was also found to be suppressed by high extracellular levels of HMGB1. During the progression of sepsis, Rab26 deficiency promotes a polarization shift from the M1 to the M2-like phenotype in macrophages, rendering them susceptible to ferroptosis. Subsequent experimentation has revealed that Rab26 deficiency facilitates the degradation of GPX4, thereby aggravating macrophage ferroptosis through the upregulation of levels of lipid ROS, MDA, and ferrous iron induced by RSL3, a ferroptosis inducer. Additionally, Rab26-deficient mice in the immunosuppressed phase of sepsis exhibit heightened susceptibility to secondary infections, leading to exacerbated lung tissue damage and increased mortality rate. Overall, these findings indicate that Rab26 plays a crucial role in sepsis-induced macrophage immunosuppression by regulating macrophage ferroptosis and polarization. Hence, it represents a potential novel target for sepsis therapy.

MOFs for Ultrahigh Efficiency Pulsed Laser Micropropulsion.

Conventional propellant materials, such as polymers and single metal elements, have long been investigated for their potential in pulsed laser micropropulsion (LMP) technology. However, achieving superior LMP efficiency through physical mixing of these materials remains a significant challenge. This study presents a paradigm shift by introducing porous crystalline polymers, known as metal-organic frameworks (MOFs), as novel propellants in pulsed LMP. MOFs are composed of metal cations and organic ligands that form ordered structures through coordination, eliminating the problem of local hot zones arising from uneven physical mixing encountered in LMP. In direct comparison to conventional polymers and single element targets, MOFs exhibit substantially higher LMP efficiency. By precisely tailoring the metal atom fraction within MOFs, an extraordinary ultrahigh efficiency of 51.15% is achieved in pulsed LMP, surpassing the performance of similar materials previously reported in the literature. This pioneering application of MOFs not only revolutionizes the field of LMP but also opens up new frontiers for MOF utilization in various energy applications.

Modulating the toxicity of engineered nanoparticles by controlling protein corona formation: Recent advances and future prospects.

With the rapid development and widespread application of engineered nanoparticles (ENPs), understanding the fundamental interactions between ENPs and biological systems is essential to assess and predict the fate of ENPs in vivo. When ENPs are exposed to complex physiological environments, biomolecules quickly and inevitably adsorb to ENPs to form a biomolecule corona, such as a protein corona (PC). The formed PC has a significant effect on the physicochemical properties of ENPs and gives them a brand new identity in the biological environment, which determines the subsequent ENP-cell/tissue/organ interactions. Controlling the formation of PCs is therefore of utmost importance to accurately predict and optimize the behavior of ENPs within living organisms, as well as ensure the safety of their applications. In this review, we provide an overview of the fundamental aspects of the PC, including the formation mechanism, composition, and frequently used characterization techniques. We comprehensively discuss the potential impact of the PC on ENP toxicity, including cytotoxicity, immune response, and so on. Additionally, we summarize recent advancements in manipulating PC formation on ENPs to achieve the desired biological outcomes. We further discuss the challenges and prospects, aiming to provide valuable insights for a better understanding and prediction of ENP behaviors in vivo, as well as the development of low-toxicity ENPs.

Urantide alleviates atherosclerosis-related liver and kidney injury via the Wnt/ß-catenin signaling pathway in ApoE(-/-) mice.

OBJECTIVE: To investigate the role of urantide in the prevention and treatment of atherosclerosis (AS)-related liver and kidney injury by antagonizing the urotensin II/urotensin receptor (UII/UT) system and regulating the Wnt/ß-catenin signaling pathway. METHODS: Atherosclerotic ApoE-/- mice were treated with 20 mg/kg, 30 mg/kg, and 40 mg/kg urantide for 14 days. RESULTS: When ApoE-/- mice developed AS, significant pathological changes occurred in the liver and kidney, and the UII/UT system in tissue was highly activated; furthermore, the Wnt/ß-catenin signalling pathway was activated, and proteins related to this signalling pathway, such as GSK-3ß, AXIN2, CK­1, and APC, were significantly downregulated. After urantide treatment, the pathological damage to the liver and kidney was effectively improved, the activity of the UII/UT system was effectively inhibited, and the expression of the Wnt/ß-catenin signalling pathway and related proteins was restored. Wnt/ß-catenin signals were mainly localized in the cytoplasm, renal tubules, and interstitium. CONCLUSION: Urantide could improve AS-related liver and kidney injury by antagonizing the UII/UT system, and the improvements in liver and kidney function in atherosclerotic ApoE-/- mice may be related to inhibition of the Wnt/ß-catenin signalling pathway.

Nanomaterial-Based Drug Delivery Systems for Pain Treatment and Relief: From the Delivery of a Single Drug to Co-Delivery of Multiple Therapeutics.

The use of nanomaterials in drug delivery systems for pain treatment is becoming increasingly common. This review aims to summarize how nanomaterial-based drug delivery systems can be used to effectively treat and relieve pain, whether via the delivery of a single drug or a combination of multiple therapeutics. By utilizing nanoformulations, the solubility of analgesics can be increased. Meanwhile, controlled drug release and targeted delivery can be realized. These not only improve the pharmacokinetics and biodistribution of analgesics but also lead to improved pain relief effects with fewer side effects. Additionally, combination therapy is frequently applied to anesthesia and analgesia. The co-encapsulation of multiple therapeutics into a single nanoformulation for drug co-delivery has garnered significant interest. Numerous approaches using nanoformulation-based combination therapy have been developed and evaluated for pain management. These methods offer prolonged analgesic effects and reduced administration frequency by harnessing the synergy and co-action of multiple targets. However, it is important to note that these nanomaterial-based pain treatment methods are still in the exploratory stage and require further research to be effectively translated into clinical practice.

Brain age prediction using the graph neural network based on resting-state functional MRI in Alzheimer's disease.

Introduction: Alzheimer's disease (AD) is a neurodegenerative disease that significantly impacts the quality of life of patients and their families. Neuroimaging-driven brain age prediction has been proposed as a potential biomarker to detect mental disorders, such as AD, aiding in studying its effects on functional brain networks. Previous studies have shown that individuals with AD display impaired resting-state functional connections. However, most studies on brain age prediction have used structural magnetic resonance imaging (MRI), with limited studies based on resting-state functional MRI (rs-fMRI). Methods: In this study, we applied a graph neural network (GNN) model on controls to predict brain ages using rs-fMRI in patients with AD. We compared the performance of the GNN model with traditional machine learning models. Finally, the post hoc model was also used to identify the critical brain regions in AD. Results: The experimental results demonstrate that our GNN model can predict brain ages of normal controls using rs-fMRI data from the ADNI database. Moreover the differences between brain ages and chronological ages were more significant in AD patients than in normal controls. Our results also suggest that AD is associated with accelerated brain aging and that the GNN model based on resting-state functional connectivity is an effective tool for predicting brain age. Discussion: Our study provides evidence that rs-fMRI is a promising modality for brain age prediction in AD research, and the GNN model proves to be effective in predicting brain age. Furthermore, the effects of the hippocampus, parahippocampal gyrus, and amygdala on brain age prediction are verified.

RNA extraction-free workflow integrated with a single-tube CRISPR-Cas-based colorimetric assay for rapid SARS-CoV-2 detection in different environmental matrices.

On-site environmental surveillance of viruses is increasingly important for infection prevention and pandemic control. Herein, we report a facile single-tube colorimetric assay for detecting severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) from environmental compartments. Using glycerol as the phase separation additive, reverse transcription recombinase polymerase amplification (RT-RPA), CRISPR-Cas system activation, G-quadruplex (G4) cleavage, and G4-based colorimetric reaction were performed in a single tube. To further simplify the test, viral RNA genomes used for the one-tube assay were obtained via acid/base treatment without further purification. The whole assay from sampling to visual readout was completed within 30 min at a constant temperature without the need for sophisticated instruments. Coupling the RT-RPA to CRISPR-Cas improved the reliability by avoiding false positive results. Non-labeled cost-effective G4-based colorimetric systems are highly sensitive to CRISPR-Cas cleavage events, and the proposed assay reached the limit of detection of 0.84 copies/µL. Moreover, environmental samples from contaminated surfaces and wastewater were analyzed using this facile colorimetric assay. Given its simplicity, sensitivity, specificity, and cost-effectiveness, our proposed colorimetric assay is highly promising for applications in on-site environmental surveillance of viruses.

Exploring the association between fat-related traits in chickens and the RGS16 gene: insights from polymorphism and functional validation analysis.

Introduction: Excessive fat deposition in chickens can lead to reduced feed utilization and meat quality, resulting in significant economic losses for the broiler industry. Therefore, reducing fat deposition has become an important breeding objective in addition to achieving high broiler weight, growth rate, and feed conversion efficiency. In our previous studies, we observed high expression of Regulators of G Protein Signaling 16 Gene (RGS16) in high-fat individuals. This led us to speculate that RGS16 might be involved in the process of fat deposition in chickens. Methods: Thus, we conducted a polymorphism and functional analysis of the RGS16 gene to investigate its association with fat-related phenotypic traits in chickens. Using a mixed linear model (MLM), this study explored the relationship between RGS16 gene polymorphisms and fat-related traits for the first time. We identified 30 SNPs of RGS16 in a population of Wens Sanhuang chickens, among which 8 SNPs were significantly associated with fat-related traits, including sebum thickness (ST), abdominal fat weight (AFW), and abdominal fat weight (AFR). Furthermore, our findings demonstrated that AFW, AFR, and ST showed significant associations with at least two or more out of the eight identified SNPs of RGS16. We also validated the role of RGS16 in ICP-1 cells through various experimental methods, including RT-qPCR, CCK- 8, EdU assays, and oil red O staining. Results: Our functional validation experiments showed that RGS16 was highly expressed in the abdominal adipose tissue of high-fat chickens and played a critical role in the regulation of fat deposition by promoting preadipocyte differentiation and inhibiting their proliferation. Taken together, our findings suggest that RGS16 polymorphisms are associated with fat-related traits in chickens. Moreover, the ectopic expression of RGS16 could inhibit preadipocyte proliferation but promote preadipocyte differentiation. Discussion: Based on our current findings, we propose that the RGS16 gene could serve as a powerful genetic marker for marker-assisted breeding of chicken fat-related traits.

Rab26 promotes macrophage phagocytosis through regulation of MFN2 trafficking to mitochondria.

Acute respiratory distress syndrome (ARDS) is an inflammatory disorder of the lungs caused by bacterial or viral infection. Timely phagocytosis and clearance of pathogens by macrophages are important in controlling inflammation and alleviating ARDS. However, the precise mechanism of macrophage phagocytosis remains to be explored. Here, we show that the expression of Rab26 is increased in Escherichia coli- or Pseudomonas aeruginosa-stimulated bone marrow-derived macrophages. Knocking out Rab26 reduced phagocytosis and bacterial clearance by macrophages. Rab26 interacts with mitochondrial fusion protein mitofusin-2 (MFN2) and affects mitochondrial reactive oxygen species generation by regulating MFN2 transport. The levels of MFN2 in mitochondria were reduced in Rab26-deficient bone marrow-derived macrophages, and the levels of mitochondrial reactive oxygen species and ATP were significantly decreased. Knocking down MFN2 using small interfering RNA resulted in decreased phagocytosis and killing ability of macrophages. Rab26 knockout reduced phagocytosis and bacterial clearance by macrophages in vivo, significantly increased inflammatory factors, aggravated lung tissue damage, and increased mortality in mice. Our results demonstrate that Rab26 regulates phagocytosis and clearance of bacteria by mediating the transport of MFN2 to mitochondria in macrophages, thus alleviating ARDS in mice and potentially in humans.

Partial breast reconstruction of 30 cases with peri-mammary artery perforator flaps.

BACKGROUND: Volume replacement is one of the vital techniques of oncoplastic surgery (OPS) when applying breast-conserving surgery. The clinical application of peri-mammary artery perforator flaps for this indication is uneven in China. Here, we describe the results of our clinical experience with peri-mammary artery flaps for partial breast reconstruction. METHODS: In this study, 30 patients underwent partial breast resection for quadrant breast cancer followed by partial breast reconstruction with peri-mammary artery perforator flaps, which included the thoracodorsal artery perforator flap (TDAP), anterior intercostal artery perforator flap (AICAP), lateral intercostal artery perforator flap (LICAP), and lateral thoracic artery perforator flap (LTAP). All the patients' operation plans were discussed comprehensively and were performed by sticking to every step. The satisfaction outcome was assessed with the extracted version of the BREAST-Q version 2.0, Breast Conserving Therapy Module Preoperative and Postoperative Scales both preoperatively and postoperatively. RESULTS: According to the study outcomes, the mean flap size was 5.3*4.2*2.8 cm (3.0-7.0*3.0-5.0*1.0-3.5 cm). The mean surgical time was 142 min (100-250 min). No partial flap failure was detected, and no severe complications were observed. Most patients were satisfied with the outcomes regarding the dressing, sexual life, and breast shape postoperation. Furthermore, the sensation of the surgical area, scar satisfaction, and recovery state gradually improved. Overall, LICAP and AICAP had higher scores when different flaps were compared. CONCLUSIONS: Based on this study, we found that peri-mammary artery flaps had significant value in breast-conserving surgery, especially in patients with small or medium-sized breasts. Perforators could be detected by vascular ultrasound before the operation. More than one perforator could be found most of the time. No severe complications occurred when performing a suitable plan, including discussing and recording the operation procedure; the focus of care, the choice for precise and proper perforators, and the mechanism for hiding the scars were all considered and recorded in a specific chart. Patients were satisfied with the reconstruction technique of peri-mammary artery perforator flaps after breast-conserving, and the satisfaction of AICAP and LICAP was higher. In general, this technique is suitable for partial breast reconstruction and has no negative impact on patient satisfaction.

Enhanced catalytic activity and stability of composite of cellulose film and nano zero-valent iron on Juncus effusus for activating peroxydisulfate to degrade Rhodamine B dye.

In this study, a novel peroxydisulfate (PDS) activator (CF-nZVI-JE) was prepared via in-situ loading nano zero-valent iron (nZVI) on Juncus effusus (JE) followed with wrapping a layer of cellulose film (CF). The CF-nZVI-JE had the same 3D structure as the JE, being easy to separate from aqueous solution. The loaded nZVI existed single nanoparticles with a size of 60-100 nm except chain-type agglomeration of nanoparticles due to the stabilization of JE fibers. The activation performance of the CF-nZVI-JE for PDS was evaluated with Rhodamine B (Rh B) as a representative pollutant. Under the optimal activating conditions, the degradation rate of Rh B reached 99% within 30 min in the CF-nZVI-JE/PDS system. After five cycles, the degradation rate of Rh B was still over 85%, suggesting that the CF-nZVI-JE had good reusability. More interestingly, SO4·- and ·OH radicals were simultaneously detected in the CF-nZVI-JE/PDS system, but only SO4·- existed in the JE-ZVI/PDS system, suggesting the different activation mechanism. Meanwhile, the introduction of CF not only facilitated to the mineralization of Rh B but also significantly reduced the release amount of iron ions. Hence, the CF-nZVI-JE can be employed as a promising PDS activator for the treatment of organic wastewater.

Brain functional activity-based classification of autism spectrum disorder using an attention-based graph neural network combined with gene expression.

Autism spectrum disorder (ASD) is a complex brain neurodevelopmental disorder related to brain activity and genetics. Most of the ASD diagnostic models perform feature selection at the group level without considering individualized information. Evidence has shown the unique topology of the individual brain has a fundamental impact on brain diseases. Thus, a data-constructing method fusing individual topological information and a corresponding classification model is crucial in ASD diagnosis and biomarker discovery. In this work, we trained an attention-based graph neural network (GNN) to perform the ASD diagnosis with the fusion of graph data. The results achieved an accuracy of 79.78%. Moreover, we found the model paid high attention to brain regions mainly involved in the social-brain circuit, default-mode network, and sensory perception network. Furthermore, by analyzing the covariation between functional magnetic resonance imaging data and gene expression, current studies detected several ASD-related genes (i.e. MUTYH, AADAT, and MAP2), and further revealed their links to image biomarkers. Our work demonstrated that the ASD diagnostic framework based on graph data and attention-based GNN could be an effective tool for ASD diagnosis. The identified functional features with high attention values may serve as imaging biomarkers for ASD.

Shifting-corrected regularized regression for 1H NMR metabolomics identification and quantification.

The process of identifying and quantifying metabolites in complex mixtures plays a critical role in metabolomics studies to obtain an informative interpretation of underlying biological processes. Manual approaches are time-consuming and heavily reliant on the knowledge and assessment of nuclear magnetic resonance (NMR) experts. We propose a shifting-corrected regularized regression method, which identifies and quantifies metabolites in a mixture automatically. A detailed algorithm is also proposed to implement the proposed method. Using a novel weight function, the proposed method is able to detect and correct peak shifting errors caused by fluctuations in experimental procedures. Simulation studies show that the proposed method performs better with regard to the identification and quantification of metabolites in a complex mixture. We also demonstrate real data applications of our method using experimental and biological NMR mixtures.

Leveraging the HMBC to Facilitate Metabolite Identification.

The accuracy and ease of metabolite assignments from a complex mixture are expected to be facilitated by employing a multispectral approach. The two-dimensional (2D) 1H-13C heteronuclear single quantum coherence (HSQC) and 2D 1H-1H-total correlation spectroscopy (TOCSY) are the experiments commonly used for metabolite assignments. The 2D 1H-13C HSQC-TOCSY and 2D 1H-13C heteronuclear multiple-bond correlation (HMBC) are routinely used by natural products chemists but have seen minimal usage in metabolomics despite the unique information, the nearly complete 1H-1H and 1H-13C and spin systems provided by these experiments that may improve the accuracy and reliability of metabolite assignments. The use of a 13C-labeled feedstock such as glucose is a routine practice in metabolomics to improve sensitivity and to emphasize the detection of specific metabolites but causes severe artifacts and an increase in spectral complexity in the HMBC experiment. To address this issue, the standard HMBC pulse sequence was modified to include carbon decoupling. Nonuniform sampling was also employed for rapid data collection. A dataset of reference 2D 1H-13C HMBC spectra was collected for 94 common metabolites. 13C-13C spin connectivity was then obtained by generating a covariance pseudo-spectrum from the carbon-decoupled HMBC and the 1H-13C HSQC-TOCSY spectra. The resulting 13C-13C pseudo-spectrum provides a connectivity map of the entire carbon backbone that uniquely describes each metabolite and would enable automated metabolite identification.

Improved uptake and bioavailability of cinnamaldehyde via solid lipid nanoparticles for oral delivery.

OBJECTIVE: The purpose of this experiment was to explore the effect of Solid lipid nanoparticles (SLNs) on improving the oral absorption and bioavailability of cinnamaldehyde (CA). METHODS: CA-SLNs were prepared by high-pressure homogenization and characterized by particle size, entrapment efficiency, and morphology, thermal behavior and attenuated total reflection Fourier transform infrared (ATR-FTIR). In vitro characteristics of release, stability experiments, cytotoxicity, uptake and transport across Caco-2 cell monolayer of CA-SLNs were studied as well. In addition, CA-SLNs underwent pharmacokinetic and gastrointestinal mucosal irritation studies in rats. RESULTS: CA-SLNs exhibited a spherical shape with a particle size of 44.57 ± 0.27 nm, zeta potential of -27.66 ± 1.9 mV and entrapment efficiency of 83.63% ± 2.16%. Differential scanning calorimetry (DSC) and ATR-FTIR confirmed that CA was well encapsulated. In vitro release of CA-SLNs displayed that most of the drug (90.77% ± 5%) was released in the phosphate buffer, and only a small amount of drug (18.55% ± 5%) was released in the HCl buffer. CA-SLNs were taken up by an energy-dependent, endocytic mechanism mediated by caveolae mediated endocytosis across Caco-2 cells. The CA permeation through Caco-2 cell was facilitated by CA-SLNs. The outcome of the gastrointestinal irritation test demonstrated that CA-SLNs had no irritation to the rats' intestines. Compared with CA dispersions, incorporation of SLNs increased the oral bioavailability of CA more than 1.69-fold. CONCLUSIONS: It was concluded that CA-SLNs improved the absorption across Caco-2 cell model and improved the oral administration bioavailability of CA in rats.