Nerolidol attenuates airway inflammation and airway remodeling and alters gut microbes in ovalbumin-induced asthmatic mice.

Asthma is a common respiratory disease associated with airway inflammation. Nerolidol is an acyclic sesquiterpenoid with anti-inflammatory properties. BALB/C mice were sensitized with ovalbumin (OVA) to induce asthma symptoms and given different doses of Nerolidol. We found that Nerolidol reduced OVA-induced inflammatory cell infiltration, the number of goblet cells and collagen deposition in lung tissue. Nerolidol reduced the OVA-specific IgE levels in serum and alveolar lavage fluid in an asthma model. Immunohistochemical staining of α-SMA (the marker of airway smooth muscle) showed that Nerolidol caused bronchial basement membrane thinning in asthmatic mice. The hyperplasia of airway smooth muscle cells (ASMCs) is an important feature of airway remodeling in asthma. ASMCs were treated with 10 ng/mL TGF-ß to simulate the pathological environment of asthma in vitro and then treated with different doses of Nerolidol. Nerolidol inhibited the activity of TGF-ß/Smad signaling pathway both in the lung tissue of OVA-induced mouse and TGF-ß-stimulated ASMCs. 16s rRNA sequencing was performed on feces of normal mice, the changes of intestinal flora in OVA-induced asthmatic mice and Nerolidol-treated asthmatic mice were studied. The results showed that Nerolidol reversed the reduced gut microbial alpha diversity in asthmatic mice. Nerolidol changed the relative abundance of gut bacteria at different taxonomic levels. At the phylum level, the dominant bacteria were Bacteroidota, Firmicutes, and Proteobacteria. At the genus level, the dominant bacteria were Lactobacillus, Muribaculaceae, Bacteroides, and Lachnospiraceae. We conclude that Nerolidol attenuates OVA-induced airway inflammation and alters gut microbes in mice with asthma via TGF-ß/Smad signaling.

Controlled Genetic Encoding of Unnatural Amino Acids in a Protein Nanopore.

Conventional protein engineering methods for modifying protein nanopores are typically limited to 20 natural amino acids, which restrict the diversity of the nanopores in structure and function. To enrich the chemical environment inside the nanopore, we employed the genetic code expansion (GCE) technique to site-specifically incorporate the unnatural amino acid (UAA) into the sensing region of aerolysin nanopores. This approach leveraged the efficient pyrrolysine-based aminoacyl-tRNA synthetase-tRNA pair for a high yield of pore-forming protein. Both molecular dynamics (MD) simulations and single-molecule sensing experiments demonstrated that the conformation of UAA residues provided a favorable geometric orientation for the interactions of target molecules and the pore. This rationally designed chemical environment enabled the direct discrimination of multiple peptides containing hydrophobic amino acids. Our work provides a new framework for endowing nanopores with unique sensing properties that are difficult to achieve using classical protein engineering approaches.

Full Width at Half Maximum of Nanopore Current Blockage Controlled by a Single-Biomolecule Interface.

A biological nanopore is one of the predominant single-molecule approaches as a result of its controllable single-biomolecule interface, which could reflect the "intrinsic" information on an individual molecule in a label-free way. Because the current blockage is normally treated as the most important parameter for nanopore identification of every single molecule, the fluctuation of current blockage for certain types of molecules, defined as full width at half maximum (fwhm) of current blockage, actually owns a dominant influence on nanopore resolution. Therefore, controlling the fwhm of current blockage of molecules is critical for the sensing capability of the nanopore. Here, taking an aerolysin nanopore as a model, by precisely controlling the functional group in this single-biomolecule interface, we could narrow the fwhm of nanopore current blockage for DNA identification and prolong the duration inside the nanopore. Moreover, a substantial correlation between fwhm of current blockage and duration is established, showing a non-monotonic variation. Besides, the mechanism is also clarified with studying the detailed current blockage events. This proposed correlation is further demonstrated to be applied uniformly across different mutant aerolysins for a certain DNA. This study proposes a new strategy for regulating molecular sensing from the duration of the analyte, which could guide the resolution of heterogeneity analysis using nanopores.

Is the Volume Exclusion Model Practicable for Nanopore Protein Sequencing?

The nanopore approach holds the possibility for achieving single-molecule protein sequencing. However, ongoing challenges still remain in the biological nanopore technology, which aims to identify 20 natural amino acids by reading the ionic current difference with the traditional current-sensing model. In this paper, taking aerolysin nanopores as an example, we calculate and compare the current blockage of each of 20 natural amino acids, which are all far from producing a detectable current blockage difference. Then, we propose a modified solution conductivity of σ' in the traditional volume exclusion model for nanopore sensing of a peptide. The σ' value describes the comprehensive result of ion mobility inside a nanopore, which is related to but not limited to nanopore-peptide interactions, and the positions, orientations, and conformations of peptides inside the nanopore. The nanopore experiments of a short peptide (VQIVYK) in wild type and mutant nanopores further demonstrate that the traditional volume exclusion model is not enough to fully explain the current blockage contribution and that many other factors such as enhanced nanopore-peptide interactions could contribute to a dominant part of the current change. This modified sensing model provides insights into the further development of nanopore protein sequencing methods.

Prognostic Implications of Novel Gene Signatures in Gastric Cancer Microenvironment.

BACKGROUND Increasing studies have shown the important clinical role of immune and stromal cells in gastric cancer microenvironment. Based on information of immune and stromal cells in The Cancer Genome Atlas, this study aimed to construct a prognostic risk assessment model for gastric cancer. MATERIAL AND METHODS Based on the immune/structural scores, differentially expressed genes (DEGs) were filtered and analyzed. Afterwards, DEGs associated with prognosis were screened and the risk assessment model was constructed in the training set. Moreover, the validity of the model was verified both in the testing set and the overall sample. RESULTS In this study, patients were divided into high-score and low-score groups based on immune/stromal score, and 919 DEGs were identified. By applying least absolute shrinkage and selection operator (LASSO) and Cox analysis, 10 mRNAs were selected to form a prognostic risk assessment model, risk score=(0.294*SLC17A9) + (-0.477*FERMT3) + (0.866*NRP1) + (0.350*MMRN1) + (0.381*RNASE1) + (0.189*TRIB3) + (0.230*PGAP3) + (0.087*MAGEA3) + (0.182*TACR2) + (0.368*CYP51A1). In the training set, the low-risk group divided by the model was found to have better overall survival, and the prediction efficiency of the model was demonstrated to be good. Multivariate Cox analysis indicated that the model could work as a prognostic factor independently. Similar results were shown in the testing group and overall patients cohort group. Finally, the risk assessment model and other clinical variables were integrated to construct a nomogram. CONCLUSIONS In general, this study constructs a prognostic risk assessment model for gastric cancer, which could improve the prognosis stratification of patients combined with other clinical indicators.

Learning Shapelets for Improving Single-Molecule Nanopore Sensing.

The nanopore technique employs a nanoscale cavity to electrochemically confine individual molecules, achieving ultrasensitive single-molecule analysis based on evaluating the amplitude and duration of the ionic current. However, each nanopore sensing interface has its own intrinsic sensing ability, which does not always efficiently generate distinctive blockade currents for multiple analytes. Therefore, analytes that differ at only a single site often exhibit similar blockade currents or durations in nanopore experiments, which often produces serious overlap in the resulting statistical graphs. To improve the sensing ability of nanopores, herein we propose a novel shapelet-based machine learning approach to discriminate mixed analytes that exhibit nearly identical blockade current amplitudes and durations. DNA oligomers with a single-nucleotide difference, 5'-AAAA-3' and 5'-GAAA-3', are employed as model analytes that are difficult to identify in aerolysin nanopores at 100 mV. First, a set of the most informative and discriminative segments are learned from the time-series data set of blockade current signals using the learning time-series shapelets (LTS) algorithm. Then, the shapelet-transformed representation of the signals is obtained by calculating the minimum distance between the shapelets and the original signals. A simple logistic classifier is used to identify the two types of DNA oligomers in accordance with the corresponding shapelet-transformed representation. Finally, an evaluation is performed on the validation data set to show that our approach can achieve a high F1 score of 0.933. In comparison with the conventional statistical methods for the analysis of duration and residual current, the shapelet-transformed representation provides clearly discriminated distributions for multiple analytes. Taking advantage of the robust LTS algorithm, one could anticipate the real-time analysis of nanopore events for the direct identification and quantification of multiple biomolecules in a complex real sample (e.g., serum) without labels and time-consuming mutagenesis.

Identification of Essential Sensitive Regions of the Aerolysin Nanopore for Single Oligonucleotide Analysis.

The aerolysin nanopore channel is one of the confined spaces for single molecule analysis which displays high spatial and temporal resolution for the discrimination of single nucleotides, identification of DNA base modification, and analyzing the structural transition of DNAs. However, to overcome the challenge of achieving the ultimate goal of the widespread real analytical application, it is urgent to probe the sensing regions of the aerolysin to further improve the sensitivity. In this paper, we explore the sensing regions of the aerolysin nanopore by a series of well-designed mutant nanopore experiments combined with molecular dynamics simulations-based electrostatic analysis. The positively charged lumen-exposed Lys-238, identified as one of the key sensing sites due to the presence of a deep valley in the electrostatic potentials, was replaced by different charged and sized amino acids. The results show that the translocation time of oligonucleotides through the nanopore can be readily modulated by the choice of the target amino acid at the 238 site. In particular, a 7-fold slower translocation at a voltage bias of +120 mV is observed with respect to the wild-type aerolysin, which provides a high resolution for methylated cytosine discrimination. We further determine that both the electrostatic properties and geometrical structure of the aerolysin nanopore are crucial to its sensing ability. These insights open ways for rationally designing the sensing mechanism of the aerolysin nanopore, thus providing a novel paradigm for nanopore sensing.

Direct Sensing of Single Native RNA with a Single-Biomolecule Interface of Aerolysin Nanopore.

RNA sensing is of vital significance to advance our comprehension of gene expression and to further benefit medical diagnostics. Taking advantage of the excellent sensing capability of the aerolysin nanopore as a single-biomolecule interface, we for the first time achieved the direct characterization of single native RNA of Poly(A)4 and Poly(U)4. Poly(A)4 induces ∼10% larger blockade current amplitude than Poly(U)4. The statistical duration of Poly(A)4 is 18.83 ± 1.08 ms, which is 100 times longer than that of Poly(U)4. Our results demonstrated that the capture of RNA homopolymers is restricted by the biased diffusion. The translocation of RNA needs to overcome a lower free-energy barrier than that of DNA. Moreover, the strong RNA-aerolysin interaction is attributed to the hydroxyl in pentose, which prolongs the translocation time. This study opens an avenue for aerolysin nanopores to directly achieve RNA sensing, including discrimination of RNA epigenetic modification and selective detection of miRNA.

Measuring a frequency spectrum for single-molecule interactions with a confined nanopore.

Nanopore analysis is a powerful technique for single molecule analysis by virtue of its electrochemically confined effects. As a single molecule translocates through the nanopore, the featured ionic current pattern on the time scale contains single molecule characteristics including volume, charge, and conformational properties. Although the characteristics of a single molecule in a nanopore have been written to the featured ionic current, extracting the dynamic information from a complex current trace is still a big challenge. Here, we present an applicable nanopore analysis method employing the Hilbert-Huang Transform (HHT) to study the vibrational features and interactions of a single molecule during the dynamic translocation process through the confined space of a nanopore. The HHT method is specially developed for analyzing nonlinear and non-stationary data that is highly compatible with nanopore data with a high frequency resolution. To provide proof-of-concept, we applied HHT to measure the frequency response for the wild-type (WT) aerolysin and mutant K238E aerolysin nanopores with and without the presence of poly(dA)4, respectively. The energy-frequency-time distribution spectra demonstrate that the biological nanopore contributes greatly to the characteristics of the high frequency component (>2 kHz) in the current recording. Our results suggest that poly(dA)4 undergoes relatively more consistent and confined interactions with K238E than WT, leading to a prolonging of the duration time. Therefore, the characteristics in frequency analysis could be regarded as an "single-molecule ionic spectrum" inside the nanopore, which encodes the detailed behaviours of single-molecule weak interactions.

Direct Readout of Single Nucleobase Variations in an Oligonucleotide.

Direct, low-cost, label-free, and enzyme-free identification of single nucleobase is a great challenge for genomic studies. Here, this study reports that wild-type aerolysin can directly identify the difference of four types of single nucleobase (adenine, thymine, cytosine, and guanine) in a free DNA oligomer while avoiding the operations of additional DNA immobilization, adapter incorporation, and the use of the processing enzyme. The nanoconfined space of aerolysin enables DNA molecules to be limited in the narrow pore. Moreover, aerolysin exhibits an unexpected capability of detecting DNA oligomers at the femtomolar concentration. In the future, by virtue of the high sensitivity of aerolysin and its high capture ability for DNA oligomers, aerolysin will play an important role in the studies of single nucleobase variations and open up new avenues for a broad range of nucleic-acid-based sensing and disease diagnosis.

Rapid spectrophotometric method for determining surface free energy of microalgal cells.

Microalgae are one of the most promising renewable energy sources with environmental sustainability. The surface free energy of microalgal cells determines their biofouling and bioflocculation behavior and hence plays an important role in microalgae cultivation and harvesting. To date, the surface energetic properties of microalgal cells are still rarely studied. We developed a novel spectrophotometric method for directly determining the surface free energy of microalgal cells. The principles of this method are based on analyzing colloidal stability of microalgae suspensions. We have shown that this method can effectively differentiate the surface free energy of four microalgal strains, i.e., marine Chlorella sp., marine Nannochloris oculata, freshwater autotrophic Chlorella sp., and freshwater heterotrophic Chlorella sp. With advantages of high-throughput and simplicity, this new spectrophotometric method has the potential to evolve into a standard method for measuring the surface free energy of cells and abiotic particles.

Is providing choices always a good thing? the backfire effect of providing choices on competence restoration.

Grounded in self-determination theory (SDT), the purpose of this research is to investigate the influence of providing choices following competence frustration on one's intrinsic motivation in a follow-up task. Study 1 conducted a between-group EEG experiment with 50 participants and used a component of event-related potentials (ERPs) to represent intrinsic motivation. Study 2 was a behavioural experiment with 149 participants, adopting the self-report method to measure intrinsic motivation. The stimuli and procedure in Study 1 are identical to Study 2. All participants were asked to complete a high-difficult time-estimation (TE) task during sessions 1-2, and a moderate-difficult stopwatch (SW) task during session 3 (no choices in the control group vs. providing choices in the experimental group). In Study 1, we observed a smaller reward positivity (RewP) difference wave in the experimental (vs. control) group during session 3. In Study 2, participants' intrinsic motivation in the experimental (vs. control) group is significantly lower. The results suggest that providing choices impairs the competence-frustrated participants' intrinsic motivation in the follow-up task and hinders competence restoration. Thus, the current research contributes original neuroscientific and subjective evidences for the adverse influence of providing choices on the competence-frustrated individual's intrinsic motivation, and suggests important practical implications.

Profiling the chemistry- and confinement-controlled sensing capability of an octameric aerolysin-like protein.

Octameric Aep1 was employed, for the first time to the best of our knowledge, as a nanopore to expand applications. After investigating the optimized conditions of Aep1 for single-channel recording, the sensing features were characterized. Cyclic and linear molecules of varying sizes and charges were employed to probe the radius and chemical environment of the pore, providing deep insights for expected future endeavors at predicting the structure of octameric Aep1. γ-CD showed unique suitability as an 8-subunit adapter in octameric Aep1, enabling the discrimination of ß-nicotinamide mononucleotide.

Protein nanopore reveals the renin-angiotensin system crosstalk with single-amino-acid resolution.

The discovery of crosstalk effects on the renin-angiotensin system (RAS) is limited by the lack of approaches to quantitatively monitor, in real time, multiple components with subtle differences and short half-lives. Here we report a nanopore framework to quantitatively determine the effect of the hidden crosstalk between angiotensin-converting enzyme (ACE) and angiotensin-converting enzyme 2 (ACE2) on RAS. By developing an engineered aerolysin nanopore capable of single-amino-acid resolution, we show that the ACE can be selectively inhibited by ACE2 to prevent cleavage of angiotensin I, even when the concentration of ACE is more than 30-fold higher than that of ACE2. We also show that the activity of ACE2 for cleaving angiotensin peptides is clearly suppressed by the spike protein of SARS-CoV-2. This leads to the relaxation of ACE and the increased probability of accumulation of the principal effector angiotensin II. The spike protein of the SARS-CoV-2 Delta variant is demonstrated to have a much greater impact on the crosstalk than the wild type.

Dynamic Chemistry Interactions: Controlled Single-Entity Electrochemistry.

Single-entity electrochemistry (SEE) provides powerful means to measure single cells, single particles, and even single molecules at the nanoscale by diverse well-defined interfaces. The nanoconfined electrode interface has significantly enhanced structural, electrical, and compositional characteristics that have great effects on the assay limitation and selectivity of single-entity measurement. In this Perspective, after introducing the dynamic chemistry interactions of the target and electrode interface, we present a fundamental understanding of how these dynamic interactions control the features of the electrode interface and thus the stochastic and discrete electrochemical responses of single entities under nanoconfinement. Both stochastic single-entity collision electrochemistry and nanopore electrochemistry as examples in this Perspective explore how these interactions alter the transient charge transfer and mass transport. Finally, we discuss the further challenges and opportunities in SEE, from the design of sensing interfaces to hybrid spectro-electrochemical methods, theoretical models, and advanced data processing.

Correction: An engineered third electrostatic constriction of aerolysin to manipulate heterogeneously charged peptide transport.

[This corrects the article DOI: 10.1039/D1SC06459B.].

In Vivo Monitoring of pH in Subacute PD Mouse Brains with a Ratiometric Electrochemical Microsensor Based on Poly(melamine) Films.

In vivo monitoring of cerebral pH is of great significance because its disturbance is related to some pathological processes such as neurodegenerative diseases, for example, Parkinson's disease (PD). In this study, we developed an electrochemical microsensor based on poly(melamine) (PMel) films for ratiometric monitoring of pH in subacute PD mouse brains. In this microsensor, PMel films were prepared from a simple electropolymerization approach in a melamine-containing solution, serving as the selective pH recognition membrane undergoing a 2H+/2e- process. Meanwhile, electrochemically oxidized graphene oxide (EOGO) produced a built-in correction signal which helped avoid the environmental interference of the complicated brain systems. The potential difference between the peaks generated from EOGO and PMel gradually decreased with the aqueous pH increasing from 4.0 to 9.0, constituting the detection foundation of the ratiometric electrochemical microsensor (REM). The in vitro studies demonstrated that this proposed method exhibited a high sensitivity (a Nernstian response of -61.35 mV/pH) and remarkable selectivity against amino acids, anions, cations, and biochemical and reactive oxygen species coexisting in the brain. Coupled with its excellent stability and reproducibility and good antibiofouling based on short-term detection, the developed REM could serve as a disposable sensor for the determination of cerebral pH in vivo. Its following successful application in the real-time measurement of pH in the striatum, hippocampus, and cortex of rat brains in the events of global cerebral ischemia/reperfusion verified the reliability of this method. Finally, we adopted this robust REM to systematically analyze and compare the average pH in different regions of normal and subacute PD mouse brains.

Immune cell-derived extracellular vesicular microRNAs induce pancreatic beta cell apoptosis.

Background: Type 1 diabetes mellitus (T1DM) is an autoimmune disease caused by an autoimmune response against pancreatic islet ß cells. Increasing evidence indicates that specific microRNAs (miRNAs) from immune cells extracellular vesicles are involved in islet ß cells apoptosis. Methods: In this study, the microarray datasets GSE27997 and GSE137637 were downloaded from the Gene Expression Omnibus (GEO) database. miRNAs that promote islet ß cells apoptosis in T1DM were searched in PubMed. We used the FunRich tool to determine the miRNA expression in extracellular vesicles derived from immune cells associated with islet ß cell apoptosis, of which we selected candidate miRNAs based on fold change expression. Potential upstream transcription factors and downstream target genes of candidate miRNAs were predicted using TransmiR V2.0 and starBase database, respectively. Results: Candidate miRNAs expressed in extracellular vesicles derived from T cells, pro-inflammatory macrophages, B cells, and dendritic cells were analyzed to identify the miRNAs involved in ß cells apoptosis. Based on these candidate miRNAs, 25 downstream candidate genes, which positively regulate ß cell functions, were predicted and screened; 17 transcription factors that positively regulate the candidate miRNAs were also identified. Conclusions: Our study demonstrated that immune cell-derived extracellular vesicular miRNAs could promote islet ß cell dysfunction and apoptosis. Based on these findings, we have constructed a transcription factor-miRNA-gene regulatory network, which provides a theoretical basis for clinical management of T1DM. This study provides novel insights into the mechanism underlying immune cell-derived extracellular vesicle-mediated islet ß cell apoptosis.

Novel monoclonal antibody-sandwich immunochromatographic assay based on Fe3O4/Au nanoparticles for rapid detection of fish allergen parvalbumin.

In this study, a rapid sandwich immunochromatographic assay (ICA) was developed to detect parvalbumin (PV). Firstly, two optimum primary monoclonal antibody (mAb) against PV had been screened out: mAb1 was used as the capture antibody, and mAb2 conjugated to Fe3O4/Au nanoparticles (Fe3O4/AuNPs) that served as a detection reagent. Using this pair of mAbs, a sandwich ICA strip based on Fe3O4/AuNPs was developed. The results showed that the color intensity of test line positively correlated with the PV concentration in the standard or spiked sample. The limit of detection for qualitative (LOD) and quantitative detection (LOQ) were 2 ng/mL and 0.691 ng/mL, respectively. Besides, the detection time of this ICA strip was within 15 min. The recovery rates ranged from 104.0% to 117.4%, within an acceptable level (80-120%). Moreover, the developed assay also showed high cross reaction in different fish species. These results demonstrated that the established test strip has the potential to be used as a rapid screening tool for large scale determination of PV in foodstuffs.

Revisiting the Origin of Nanopore Current Blockage for Volume Difference Sensing at the Atomic Level.

Changes in the nanopore ionic current during entry of a target molecule underlie the sensing capability and dominate the intensity and extent of applications of the nanopore approach. The volume exclusion model has been proposed and corrected to describe the nanopore current blockage. However, increasing evidence shows nonconformity with this model, suggesting that the ionic current within a nanopore should be entirely reconsidered. Here, we revisit the origin of nanopore current blockage from a theoretical perspective and propose that the noncovalent interactions between a nanopore and a target molecule affect the conductance of the solution inside the nanopore, leading to enhanced current blockage. Moreover, by considering the example of an aerolysin nanopore discriminating the cytosine DNA and methylcytosine DNA that differ by a single methyl group, we completely demonstrate, by nanopore experiments and molecular dynamics simulations, the essential nature of this noncovalent interaction for discrimination. Our conductance model suggests multiplicative effects of both volume exclusion and noncovalent interaction on the current blockage and provides a new strategy to achieve volume difference sensing at the atomic level with highly specific current events, which would promote the nanopore protein sequencing and its applications in real-life systems.