Gut microbial signatures of patients with diarrhea-predominant irritable bowel syndrome and their healthy relatives.

AIMS: Irritable bowel syndrome (IBS) is a prevalent gastrointestinal disorder, encompassing diarrhea-predominant irritable bowel syndrome (IBS-D). Here, we utilized 16S rDNA gene sequencing to identify potential microbial drivers of IBS-D. METHODS AND RESULTS: A total of 30 healthy relatives and 27 patients with IBS-D were recruited. Clinical data and fecal samples were collected from patients and controls. 16S rDNA gene sequencing was performed to obtain fecal bacterial data. Differences in community composition were evaluated utilizing analysis of similarity (ANOSIM) using Bray-Curtis dissimilarity. The Wilcoxon rank sum test was used to compare differences in taxa and functional pathways. Finally, the key gut microbiota was identified using the random forest algorithm. Gut microbiota diversity, estimated through the Observe, Chao1, and abundance-based coverage estimator (ACE) indices, was significantly lower in the IBS-D patients than in the healthy relatives. ANOSIM analysis further confirmed significant differences in the composition of the gut microbiota between IBS-D patients and healthy relatives, with an R value of 0.106 and a P-value of 0.005. Notably, the IBS-D patients exhibited a significant enrichment of specific bacterial genera, including Fusicatenibacter, Streptococcus, and Klebsiella, which may possess potential pathogenic properties. In particular, the bacterial genus Klebsiella demonstrated a positive correlation with irritable bowel syndrome severity scoring system scores. Conversely, healthy subjects showed enrichment of bacterial genera such as Alistipes, Akkermansia, and Dialister, which may be beneficial bacteria in IBS-D. Utilizing the random forest model, we developed a discriminative model for IBS-D based on differential bacterial genera. This model exhibited impressive performance, with an area under the curve value of 0.90. Additionally, our analysis did not reveal any gender-specific differences in the microbiota community composition among IBS-D patients. CONCLUSIONS: Our findings offer preliminary insights into the potential relationship between intestinal microbiota and IBS-D. The identification model for IBS-D, grounded in gut microbiota, holds promising prospects for improving early diagnosis of IBS-D.

Bilateral efforts to improve SERS detection efficiency of exosomes by Au/Na7PMo11O39 Combined with Phospholipid Epitope Imprinting.

Detection of cancer-related exosomes in body fluids has become a revolutionary strategy for early cancer diagnosis and prognosis prediction. We have developed a two-step targeting detection method, termed PS-MIPs-NELISA SERS, for rapid and highly sensitive exosomes detection. In the first step, a phospholipid polar site imprinting strategy was employed using magnetic PS-MIPs (phospholipids-molecularly imprinted polymers) to selectively isolate and enrich all exosomes from urine samples. In the second step, a nanozyme-linked immunosorbent assay (NELISA) technique was utilized. We constructed Au/Na7PMo11O39 nanoparticles (NPs) with both surface-enhanced Raman scattering (SERS) property and peroxidase catalytic activity, followed by the immobilization of CD9 antibodies on the surface of Au/Na7PMo11O39 NPs. The Au/Na7PMo11O39-CD9 antibody complexes were then used to recognize CD9 proteins on the surface of exosomes enriched by magnetic PS-MIPs. Lastly, the high sensitivity detection of exosomes was achieved indirectly via the SERS activity and peroxidase-like activity of Au/Na7PMo11O39 NPs. The quantity of exosomes in urine samples from pancreatic cancer patients obtained by the PS-MIPs-NELISA SERS technique showed a linear relationship with the SERS intensity in the range of 6.21 × 107-2.81 × 108 particles/mL, with a limit of detection (LOD) of 5.82 × 107 particles/mL. The SERS signal intensity of exosomes in urine samples from pancreatic cancer patients was higher than that of healthy volunteers. This bidirectional MIPs-NELISA-SERS approach enables noninvasive, highly sensitive, and rapid detection of cancer, facilitating the monitoring of disease progression during treatment and opening up a new avenue for rapid early cancer screening.

Cell-Penetrating Drug Carrier by Molecular Recognition of Sphingomyelin on Plasma Membranes.

Plasma membranes not only maintain the intracellular microenvironment through their phospholipid bilayer but also eliminate exogenous compounds outside the cell membranes. Most drugs especially with high polarity are prevented from entering into cells to exert their effects. Therefore, it is of great significance to design effective drug carriers with a penetrating ability toward plasma membranes. In this study, a dual-templated MIP (dt-MIPs) carrier with controllable microstructure and high drug loading capacity was prepared using highly expressed sphingomyelin on the plasma membrane and tenofovir (TFV), a first-line drug for HIV and chronic hepatitis B, as template molecules. The drug release experiments performed in vitro under simulated physiological conditions demonstrated that sustained and stable adsorption of TFV on dt-MIPs was more than 80% over 50 h. By a combination of flow cytometry and confocal microscopy, dt-MIPs were found to have efficient cell permeability. Furthermore, mass-spectrometry-based intracellular pharmacokinetic studies demonstrated that TFV was delivered completely into cells within 30 min with the delivery of dt-MIPs. The study presented above suggested that dt-MIPs are expected to be alternative nanoscale drug carriers for enhanced drug permeability and controlled release.

Oriented docking of the template for improved imprinting efficiency toward peptide with modifications.

Molecular imprinting polymers (MIPs) are synthetic receptors as biomimetic materials for various applications ranging from sensing to separation and catalysis. However, currently existing MIPs are stuck to some of the issues including the longer preparation steps and poor performance. In this report, a facile and one-pot strategy by integrating the in-situ growth of magnetic nanoparticles and reversed phase microemulsion oriented molecularly imprinting strategy to develop magnetic molecular imprinted nanocomposites was proposed. Through self-assembling of the template, it brought up highly ordered and uniform arrangement of the imprinting structure, which offered faster adsorption kinetic as adsorption equilibrium was achived within 15 min, higher adsorption capacity (Qmax = 48.78 ± 1.54 µmol/g) and high affinity (Kd = 127.63 ± 9.66 µM) toward paradigm molecule-adenosine monophosphate (AMP) compared to the conventional bulk imprinting. The developed MIPs offered better affinity and superior specificity which allowed the specific enrichment toward targeted phosphorylated peptides from complex samples containing 100-fold more abundant interfering peptides. Interestingly, different types of MIPs can be developed which could targetly enrich the specific phosphorylated peptides for mass spectrometry analysis by simply switching the templates, and this strategy also successfully achieved imprinting of macromolecular peptides. Collectively, the approach showed broad applicability to target specific enrichment from metabolites to phosphorylated peptides and providing an alternative choice for selective recognition and analysis from complex biological systems.

Mesoporous molecularly imprinted nanoparticles with peptide mimics for the detection of phenolic compounds.

Immobilized enzymes outperform free enzymes in many properties and are widely used in environmental monitoring, engineering applications, food and medical fields. Based on the developed immobilization techniques, the search for immobilization with wider applicability, lower cost and more stable enzyme properties is of significant importance. In this study, we reported a molecular imprinting strategy for immobilizing peptide mimics of DhHP-6 on mesoporous materials. The DhHP-6 molecularly imprinted polymer (MIP) showed much higher adsorption capacity than raw mesoporous silica toward DhHP-6. The DhHP-6 peptide mimics was immobilized on the surface of mesoporous silica for the fast detection of phenolic compounds, a widely spread pollutant with highly toxic and difficult in degradation. Immobilized enzyme of DhHP-6-MIP exhibited higher peroxidase activity, better stability, and recyclability than free peptide. Notably, DhHP-6-MIP showed excellent linearity for the detection of the two phenols with detection limits of 0.28 µM and 0.25 µM, respectively. In combination with the spectral analysis and PCA method, DhHP-6-MIP provided better discrimination between the six phenolic compounds (phenol, catechol, resorcinol, hydroquinone, 2-chlorophenol, 2, 4-dichlorophenol). Our study showed that immobilization of peptide mimics by the molecular imprinting strategy using mesoporous silica as carriers was a simple and effective approach. The DhHP-6-MIP has great potentiality for the monitoring and degradation of environmental pollutants.

Epitope Imprinting of Phospholipids by Oriented Assembly at the Oil/Water Interface for the Selective Recognition of Plasma Membranes.

Phospholipids, as fundamental building blocks of the cell membrane, play important roles for molecule transportation, cell recognition, etc. However, due to the structural diversity and amphipathic nature, there are few methods for the specific recognition of lipids as compared to other biomolecules such as proteins and glycans. Herein, we developed a molecular imprinting strategy for controllable imprinting toward the polar head of phospholipid exposed on the surface of cellular membranes for recognition. Phosphatidylserine, as unique lipid on the outer membrane leaflet of exosome and also hallmark for cell apoptosis, was imprinted with the developed method. The phosphatidylserine imprinted materials showed high efficiency and specific targeting capability not only for apoptotic cell imaging but also for the isolation of exosomes. Collectively, the synthesized molecularly imprinted materials have great potential for selective plasma membrane recognition for targeted drug delivery and biomarker discovery.

Improved performance of proteomic characterization for Panax ginseng by strong cation exchange extraction and liquid chromatography-mass spectrometry analysis.

Panax ginseng is a precious and ancient medicinal plant. The completion of its genome sequencing has laid the foundation for the study of proteome and peptidome. However, the high abundance of secondary metabolites in ginseng reduces the identification efficiency of proteins and peptides in mass spectrometry. In this report, strong cation exchange pretreatment was carried out to eliminate the interference of impurities. Based on the charge separation of proteolytic peptides and metabolites, the sensitivity of mass spectrometry detection was greatly improved. After pretreatment, 2322 and 2685 proteins were identified from the root and stem leaf extract. Further, the ginseng peptidome was analyzed based on this optimized strategy, where 970 and 653 endogenous peptides were identified from root and stem leaf extract, respectively. Functional analysis of proteins and endogenous peptides provided valuable information on the biological activities, metabolic processes, and ginsenoside biosynthesis pathways of ginseng.

Spatial protein expression of Panax ginseng by in-depth proteomic analysis for ginsenoside biosynthesis and transportation.

BACKGROUND: Panax ginseng, as one of the most widely used herbal medicines worldwide, has been studied comprehensively in terms of the chemical components and pharmacology. The proteins from ginseng are also of great importance for both nutrition value and the mechanism of secondary metabolites. However, the proteomic studies are less reported in the absence of the genome information. With the completion of ginseng genome sequencing, the proteome profiling has become available for the functional study of ginseng protein components. METHODS: We optimized the protein extraction process systematically by using SDS-PAGE and one-dimensional liquid chromatography mass spectrometry. The extracted proteins were then analyzed by two-dimensional chromatography separation and cutting-edge mass spectrometry technique. RESULTS: A total of 2,732 and 3,608 proteins were identified from ginseng root and cauline leaf, respectively, which was the largest data set reported so far. Only around 50% protein overlapped between the cauline leaf and root tissue parts because of the function assignment for plant growing. Further gene ontology and KEGG pathway revealed the distinguish difference between ginseng root and leaf, which accounts for the photosynthesis and metabolic process. With in-deep analysis of functional proteins related to ginsenoside synthesis, we interestingly found the cytochrome P450 and UDP-glycosyltransferase expression extensively in cauline leaf but not in the root, indicating that the post glucoside synthesis of ginsenosides might be carried out when growing and then transported to the root at withering. CONCLUSION: The systematically proteome analysis of Panax ginseng will provide us comprehensive understanding of ginsenoside synthesis and guidance for artificial cultivation.