Exhaled Breath Analysis for The Discrimination of Asthma and Chronic Obstructive Pulmonary Disease.

Abstract BACKGROUND Chronic obstructive pulmonary disease (COPD) and asthma are the most common chronic respiratory diseases. In middle-aged and elderly patients, it is difficult to distinguish between COPD and asthma based on clinical symptoms and pulmonary function examinations in clinical practice. Thus, an accurate and reliable inspection method is required. METHOD In this study, we aimed to identify breath biomarkers and evaluate the accuracy of breathomics-based methods for discriminating between COPD and asthma. In this multi-center cross-sectional study, exhaled breath samples were collected from 89 patients with COPD and 73 with asthma and detected on a high-pressure photon ionization time-of-flight mass spectrometry (HPPI-TOFMS) platform from October 20, 2022, to May 20, 2023, in four hospitals. Data analysis was performed from June 15, 2023, to August 16, 2023. The sensitivity, specificity, and accuracy were calculated to assess the overall performance of the VOC-based COPD and asthma discrimination models. Potential VOC markers related to COPD and asthma were also analyzed. RESULTS The age of all participants ranged from to 18-86 years, and 54 (33.3%) were men. Based on breathomics feature selection, ten VOCs were identified as COPD and asthma discrimination biomarkers via breath testing. The joint panel of these ten VOCs achieved an area under the curve (AUC) of 0.843, sensitivity of 75.9%, specificity of 87.5%, and accuracy of 80.0% in COPD and asthma discrimination. Furthermore, the VOCs detected in the breath samples were closely related to the clinical characteristics of COPD and asthma. CONCLUSIONS The VOC-based COPD and asthma discrimination model showed good accuracy, providing a new strategy for clinical diagnosis. Breathomics-based methods may play an important role in the diagnosis of COPD and asthma.

Metal-ligand cross-link strategy engineered iron-doped dopamine-based superstructure as peroxidase-like nanozymes for detection of glucose.

Nanozymes are nanomaterials with mimetic enzyme properties and the related research has attracted much attention. It is of great value to develop methods to construct nanozymes and to study their application in bioanalysis. Herein, the metal-ligand cross-linking strategy was developed to fabricate superstructure nanozymes. This strategy takes advantage of being easy to operate, adjustable, cheap, and universal. The fabricated superstructure nanozymes possess efficient peroxidase-like catalytic activity. The enzyme reaction kinetic tests demonstrated that for TMB and H2O2, the Km is 0.229 and 1.308 mM, respectively. Furthermore, these superstructure nanozymes are applied to highly efficient and sensitive detection of glucose. The linear range for detecting glucose is 20-2000 µM, and the limit of detection is 17.5 µM. Furthermore, mechanistic research illustrated that this integrated system oxidizes glucose to produce hydrogen peroxide and further catalyzes the production of ·OH and O2·-, which results in a chromogenic reaction of oxidized TMB for the detection of glucose. This work could not only contribute to the development of efficient nanozymes but also inspire research in the highly sensitive detection of other biomarkers.

Mechanism interpretation of Guhan Yangshengjing for protection against Alzheimer's disease by network pharmacology and molecular docking.

ETHNOPHARMACOLOGICAL RELEVANCE: Guhan Yangshengjing (GHYSJ) is an effective prescription for delaying progression of Alzheimer's disease (AD) based on the ancient Chinese medical classics excavated from Mawangdui Han Tomb. Comprising a combination of eleven traditional Chinese herbs, the precise protective mechanism through which GHYSJ acts on AD progression remains unclear and has significant implications for the development of new drugs to treat AD. AIM OF THE STUDY: To investigate the mechanism of GHYSJ in the treatment of AD through network pharmacology and validate the results through in vitro experiments. MATERIALS AND METHODS: Chemical composition-target-pathway network and protein-protein interaction network were constructed by network pharmacology to predict the potential targets of GHYSJ for the treatment of AD. The interaction relationship between active ingredients and targets was verified by molecular docking and molecular force. Furthermore, the chemical constituents of GHYSJ were analyzed by LC-MS and HPLC, the effects of GHYSJ on animal tissues were analyzed by H&E staining. An Aß-induced SH-SY5Y cellular model was established to validate the core pathways and targets predicted by network pharmacology and molecular docking. RESULTS: The results of the network pharmacology analysis revealed a total of 155 bioactive compounds capable of crossing the blood-brain barrier and interacting with 677 targets, among which 293 targets specifically associated with AD, which mainly participated in and regulated the amyloid aggregation pathway and PI3K/Akt signaling pathway, thereby treating AD. In addition, molecular docking analysis revealed a robust binding affinity between the principal bioactive constituents of GHYSJ and crucial targets implicated in AD. Our findings were further substantiated by in vitro experiments, which demonstrated that Liquiritigenin and Ginsenosides Rh4, crucial constituents of GHYSJ, as well as GHYSJ pharmaceutic serum, exhibited a significant down-regulation of BACE1 expression in Aß-induced damaged SH-SY5Y cells. This study provides valuable data and theoretical underpinning for the potential therapeutic application of GHYSJ in the treatment of AD and secondary development of GHYSJ prescription. CONCLUSION: Through network pharmacology, molecular docking, LC-MS, and cellular experiments, GHYSJ was initially confirmed to delay the progression of AD by regulating the expression of BACE1 in Amyloid aggregation pathway. Our observations provided valuable data and theoretical underpinning for the potential therapeutic application of GHYSJ in the treatment of AD.

Ultra-Small High-Entropy Alloy Nanoparticles: Efficient Nanozyme for Enhancing Tumor Photothermal Therapy.

High-entropy alloys nanoparticles (HEANPs) are receiving extensive attention due to their broad compositional tunability and unlimited potential in bioapplication. However, developing new methods to prepare ultra-small high-entropy alloy nanoparticles (US-HEANPs) faces severe challenges owing to their intrinsic thermodynamic instability. Furthermore, there are few reports on studying the effect of HEANPs in tumor therapy. Herein, the fabricated PtPdRuRhIr US-HEANPs act as bifunctional nanoplatforms for the highly efficient treatment of tumors. The US-HEANPs are engineered by the universal metal-ligand cross-linking strategy. This simple and scalable strategy is based on the aldol condensation of organometallics to form the target US-HEANPs. The synthesized US-HEANPs exhibit excellent peroxidase-like (POD-like) activity and can catalyze the endogenous hydrogen peroxide to produce highly toxic hydroxyl radicals. Furthermore, the US-HEANPs possess a high photothermal conversion effect for converting 808 nm near-infrared light into heat energy. In vivo and in vitro experiments demonstrated that under the synergistic effect of POD-like activity and photothermal action, the US-HEANPs can effectively ablate cancer cells and treat tumors. It is believed that this work not only provides a new perspective for the fabrication of HEANPs, but also opens the high-entropy nanozymes research direction and their biomedical application.

Dual-Functional Capping Agent-Mediated Transformation of Silver Nanotriangles to Silver Nanoclusters for Dual-Mode Biosensing.

The localized surface plasmon resonance (LSPR) property, depending on the structure (morphology and assembly) of nanoparticles, is very sensitive to the environmental fluctuation. Retaining the colorimetric effect derived from the LSPR property while introducing new optical properties (such as fluorescence) that provide supplementary information is an effective means to improve the controllability in structures and reproducibility in optical properties. DNA as a green and low-cost etching agent has been demonstrated to effectively control the morphology and optical properties (the blue shift of the LSPR peak) of the plasmonic nanoparticles. Herein, taking silver nanotriangles (AgNTs) as a proof of concept, we report a novel strategy to induce precisely tunable LSPR and fluorescence-composited dual-mode signals by using mono-DNA first as an etching agent for etching the morphology of AgNTs and later as a template for synthesizing fluorescent silver nanoclusters (AgNCs). In addition, common templates for synthesizing AgNCs, such as l-glutathione and bovine serum albumin, were demonstrated to have the capability to serve as etching agents. More importantly, these biomolecules as dual-functional capping agents (etching agents and templates) follow the size-dependent rule: as the size of the thiolated biomolecule increases, the blue shift of the LSPR peak increases; at the same time, the fluorescence intensity increases. The enzyme that can change the molecular weight (size) of the biomolecular substrates (DNA, peptides, and proteins) through an enzymatic cleavage reaction was explored to regulate the LSPR and fluorescent properties of the resulting nanoparticles (by etching of AgNTs and synthesis of AgNCs), achieving excellent performance in detection of cancer-related proteases. This study can be expanded to other biopolymers to impact both fundamental nanoscience and applications and provide powerful new tools for bioanalytical biosensors and nanomedicine.

Recent Advances of Seed-Mediated Growth of Metal Nanoparticles: from Growth to Applications.

Unprecedented advances in metal nanoparticle synthesis have paved the way for broad applications in sensing, imaging, catalysis, diagnosis, and therapy by tuning the optical properties, enhancing catalytic performance, and improving chemical and biological properties of metal nanoparticles. The central guiding concept for regulating the size and morphology of metal nanoparticles is identified as the precise manipulation of nucleation and subsequent growth, often known as seed-mediated growth methods. However, since the growth process is sensitive not only to the metal seeds but also to capping agents, metal precursors, growth solution, growth/incubation time, reductants, and other influencing factors, the precise control of metal nanoparticle morphology is multifactorial. Further, multiple reaction parameters are entangled with each other, so it is necessary to clarify the mechanism by which each factor precisely regulates the morphology of metal nanoparticles. In this review, to exploit the generality and extendibility of metal nanoparticle synthesis, the mechanisms of growth influencing factors in seed-mediated growth methods are systematically summarized. Second, a variety of critical properties and applications enabled by grown metal nanoparticles are focused upon. Finally, the current progress and offer insights on the challenges, opportunities, and future directions for the growth and applications of grown metal nanoparticles are reviewed.

An NIR fluorescent/photoacoustic dual-mode probe of NADPH for tumor imaging.

A novel probe was synthesized with a turn-on NIR fluorescent (NIRF)/photoacoustic (PA) response to NADPH, which was successfully applied in both monitoring intracellular NADPH and dual-modal imaging of tumor-bearing mice. It exhibits good potential in studying and understanding the tumor energy metabolism and treatment process related to NADPH.

[Review of classical prescriptions in treatment of ulcerative colitis].

Ulcerative colitis(UC) is a continuous inflammatory bowel disease with the main clinical manifestations of abdominal pain, diarrhea, and mucous bloody stools, mainly attacking the colorectal mucosa and submucosa. It is characterized by high recurrence rate, difficult cure, and clustering and regional occurrence. Chinese medicinal prescriptions for the treatment of UC have good therapeutic effect, multi-target regulation, slight toxicity, and no obvious side effects. In particular, the classical prescriptions highlight the characteristics and advantages of traditional Chinese medicine theory and have attracted much attention in recent years. To enable researchers to timely and comprehensively understand the classical prescriptions in the treatment of UC, we reviewed the studies about the pharmacodynamic material basis, quality control, action mechanism, and clinical application of relevant classical prescriptions. We first introduced the latest research progress in the active components such as alkaloids, polysaccharides, saponins, and flavonoids in relevant classical prescriptions. Then, we reviewed the latest research achievements on the quality control of classical prescriptions for the treatment of UC by gas chromatography, liquid chromatography, mass spectrometry, liquid chromatography-mass spectrometry and the like. Further, we summarized the research advances in the mechanisms of relevant prescriptions in the treatment of UC based on network pharmacology, molecular docking, integrated pharmacology platform, and animal experiments. Finally, we generalized the clinical application of the classical prescriptions for clearing heat and removing dampness, mildly regulating cold and heat, soothing liver and regulating spleen, strengthening spleen and invigorating Qi, and tonifying spleen and stomach. By systematic summary of the research progress in relevant classical prescriptions, we hope to promote the application and development of such prescriptions in UC treatment.

[Effects of Betulinic acid on apoptosis in human gastric cancer SGC-7901 cells].

Objective: To investigate the effects of betulinic acid on apoptosis of human gastric cancer SGC-7901 cells. Methods: The human gastric cancer SGC-7901cells were divided in to 4 groups, and each group was set with 3 replicates. The SGC-7901cells in control group were not treated with betulinic acid; the other 3 experimental groups were treated with betulinic acid at the concentrations of 10, 20 and 30 mg/L, respectively; each group was incubated in a 5% carbon dioxide incubator for 48 h. Laser confocal microscope was used to observe morphological changes of SGC-7901 cells; Flow cytometry was applied to determine apoptosis rate and mitochondrial membrane potential. The mRNA and protein levels of Bcl-2, Bax and Caspase-3 were also detected by qRT-PCR and western blot respectively. Results: Compared with the control group, SGC-7901 cells in the treated group at final concentrations of 10, 20 and 30 mg/L shrinked, appeared apoptosis body along with nuclear splitting. The percentage of cells in early and advanced period of apoptosis were markedly increased (P＜0.05 or P＜0.01), mitochondrial membrane potential was obviously reduced (P＜0.05 or P＜0.01). qRT-PCR and western blot analysis showed that the mRNA and protein expressions of Bax and Caspase-3 were increased significantly (P＜0.01), while the expressions of Bcl-2 were decreased significantly (P＜0.01). Conclusion: Within a certain range of concentrations, betulinic acid induces cell apoptosis by regulating the expression of Bcl-2, Bax and Caspase-3 in human gastric cancer.

[Effects of betulinic acid at different concentrations on autophagy of human gastric cancer MGC-803 cells].

Objective: In this study, human gastric cancer MGC-803 cells were treated with betulinic acid at different concentrations to investigate its effect on cell autophagy. Methods: The human gastric cancer MGC-803 cells were divided into 4 groups, each group was set with 3 replicate. The control group was not treated with betulinic acid, the other three groups were added with final concentration of 10,20,30 mg/L betulinic acid, respectively. Cells were treated with betulinic acid for 48 h,qRT-PCR was applied to detect the effect of betulinic acid on mRNA expressions of autophagy-related genes in human gastric cancer MGC-803 cells. Western blot was performed to determine the protein expressions of cell autophagy-related genes after drug treatment. Immunofluorescence was used to detect the localization and expression of LC3 protein in MGC-803 cells after drug treatment. Results: Compared with the control group,in the concentration range of 10~30 mg/L, the mRNA expression of LC3 and Beclin-1 in human gastric cancer MGC-803 cells treated with betulinic acid were increased significantly, the expressions of Beclin-1 and LC3-Ⅱ protein were also increased significantly, while the expression of LC3-Ⅰ protein was decreased significantly. Among them, betulinic acid at the concentration of 30 mg/L showed the best effects. In addition, betulinic acid induced the LC3 protein in MGC-803 cells to form spot aggregates in the cytoplasm. Conclusion: At the concentrations of 10~30 mg/L, betulinic acid can induce autophagy in human gastric cancer MGC-803 cells.

[Effect of betulinic acid on proliferation of human gastric cancer MGC-803 cell line].

Objective: To investigate the effect of betulinic acid on the proliferation of human gastric cancer MGC-803 cells in vitro. Methods: Human gastric cancer MGC-803 cells were divided into 4 groups, each with 3 multiple holes. Control cells add betulinic acid at a concentration of 0 µg /ml, and the other three experimental groups were added with final concentration of 10, 20, 30 µg/ml Betulinic acid respectively. Cells in each group were incubated in a 5% CO2 incubator for 48 hours, and the Giemsa staining method and trypan blue exclusion method were used to detect the effect of betulinic acid on the cell clone formation rate and growth inhibition rate; EdU method and flow cytometry were used to detect cell proliferation and cell cycle changes; qRT-PCR and Western blot were used to detect the expressions of cell cycle regulators CCNB1 and CCND1. Results: Compared with the control group, the clone formation rate of human gastric cancer MGC-803 cells was significantly reduced (P＜0.01), the growth inhibition rate was significantly increased, and the cell proliferation ability was significantly decreased (P＜0.01); with the increase of betulinic acid concentration in each experimental group the proportion of cells in the G1 phase was gradually decreased, and the number of cells in S phase was increased significantly (P＜0.01); the mRNA and protein expression levels of cell cycle regulators CCNB1 and CCND1 were decreased significantly, and the 30 µg/ml betulinic acid treatment group performed best. Conclusion: At a final concentration of 10～30 µg/ml, betulinic acid can reduce the proliferation of human gastric cancer MGC-803 cells, inhibit cell growth, and down-regulate the expression of CCNB1 and CCND1 to block human gastric cancer MGC-803 cells in the S phase.

[Effects of betulinic acid on apoptosis of human gastric cancer MGC-803 cells].

Objective: The effects of betulinic acid (BA) on apoptosis of human gastric cancer MGC-803 cells was investigated by using human gastric cancer MGC-803 cells as experimental materials, and the basis for its clinical application was provided. Methods: The human gastric cancer MGC-803 cells were divided into 4 groups,each group was set with 3 replicates.The control group was MGC-803 cells without being added betulinic acid; the other 3 groups of experimental groups were treated with betulinic acid at final concentrations of 10, 20 and 30 µg /ml respectively. Cells were treated with betulinic acid of different concentrations for 48 h. Laser confocal microscope was used to observe morphological changes of MGC-803. The activities of Caspase-3 and Caspase-9 were detected by an assay kit. Flow cytometry was applied to determine mitochondrial membrane potential. The mRNA and protein levels of Caspase-3, Caspase-9 and Cyt c were also detected by qRT-PCR and Western blot, respectively. Results: Compared with the control group, the activities of Caspase-3 and caspase-9 were increased(P＜0.01), while the mitochondrial membrane potential was decreased significantly(P＜0.01). The mRNA and protein expressions of Caspase-3, caspase-9 and Cyt c were up-regulated significantly(P＜0.01). Conclusion: In the final concentration range of 10 ~ 30 µg/ml, betulinic acid can induce apoptosis of human gastric cancer MGC-803 cells by regulating the expression of Caspase-3, Caspase-9 and Cyt c.

Integral Multielement Signals by DNA-Programmed UCNP-AuNP Nanosatellite Assemblies for Ultrasensitive ICP-MS Detection of Exosomal Proteins and Cancer Identification.

Exosomes are expected to be used as cancer biomarkers because they carry a variety of cancer-related proteins inherited from parental cells. However, it is still challenging to develop a sensitive, robust, and high-throughput technique for simultaneous detection of exosomal proteins. Herein, three aptamers specific to cancer-associated proteins (CD63, EpCAM, and HER2) are selected to connect gold nanoparticles (AuNPs) as core with three different elements (Y, Eu, and Tb) doped up-conversion nanoparticles (UCNPs) as satellites, thereby forming three nanosatellite assemblies. The presence of exosomes causes specific aptamers to recognize surface proteins and release the corresponding UCNPs, which can be simultaneously detected by inductively coupled plasma-mass spectrometry (ICP-MS). It is worth noting that rare earth elements are scarcely present in living systems, which minimize the background for ICP-MS detection and exclude potential interferences from the coexisting species. Using this method, we are able to simultaneously detect three exosomal proteins within 40 min, and the limit of detection for exosome is 4.7 × 103 particles/mL. The exosomes from seven different cell lines (L-02, HepG2, GES-1, MGC803, AGS, HeLa, and MCF-7) can be distinguished with 100% accuracy by linear discriminant analysis. In addition, this analytical strategy is successfully used to detect exosomes in clinical samples to distinguish stomach cancer patients from healthy individuals. These results suggest that this sensitive and high-throughput analytical strategy based on ICP-MS has the potential to play an important role in the detection of multiple exosomal proteins and the identification of early cancer.

Biomolecule-mediated chiral nanostructures: a review of chiral mechanism and application.

The chirality of biomolecules is vital importance in biosensing and biomedicine. However, most biomolecules only have a chiral response in the ultraviolet region, and the corresponding chiral signal is weak. In recent years, inorganic nanomaterials can adjust chiral light signals to the visible and near-infrared regions and enhance optical signals due to their high polarizability and adjustable morphology-dependent optical properties. Nonetheless, inorganic nanomaterials usually lack specificity to identify targets, and have strong toxicity when applied in organisms. The combination of chiral biomolecules and inorganic nanomaterials offers a way to solve these problems. Because chiral biomolecules, such as DNA, amino acids, and peptides, have programmability, specific recognition, excellent biocompatibility, and strong binding force to inorganic nanomaterials. Biomolecule-mediated chiral nanostructures show specific recognition of targets, extremely low biological toxicity and adjustable optical activity by regulating, assembling and inducing inorganic nanomaterials. Therefore, biomolecule-mediated chiral nanostructures have received widespread attention, including chiral biosensing, enantiomers recognition and separation, biological diagnosis and treatment, chiral catalysis, and circular polarization of chiral metamaterials. This review mainly introduces the three chiral mechanisms of biomolecule-mediated chiral nanostructures, lists some important applications at present, and discusses the development prospects of biomolecule-mediated chiral nanostructures.

Capping Ligand Size-Dependent LSPR Property Based on DNA Nanostructure-Mediated Morphological Evolution of Gold Nanorods for Ultrasensitive Visualization of Target DNA.

Systematically tuning the structures and properties of noble-metal nanoparticles through biomolecule-mediated overgrowth is of significant importance for their applications in biosensing and imaging. Herein thiolated biomolecules with different concentrations and sizes (molecular weight and spatial structure) were used as a class of capping ligands to control the longitudinal surface plasmon resonance (LSPR) property of gold nanorods (GNRs). The LSPR peaks were red-shifted by increasing the capping agent concentration. The size effect could be divided to two aspects: (1) When the ligands are small molecules, the LSPR peak is blue-shifted as the size of the capping ligand increases. (2) When the ligands are macromolecular proteins, the LSPR property is similar to that of the overgrown nanoparticle (Au@gap@GNR) without thiolated biomolecules as capping agents. Interestingly, thiol-free and nonhomooligomeric DNA strands as capping agents present a similar influence in shaping the overgrowth of GNRs by varying their concentrations and sizes. In addition, the size effect of a DNA nanostructure was used to construct a ΔλLSPR-based catalytic nucleic acid biosensor using a DNA dendritic nanostructure as a capping agent combined with LSPR signals generated from the Au@gap@GNRs with morphological evolution. More importantly, the ΔλLSPR-based biosensor possesses three advantages in nucleic acid biosensing: (1) It is completely label- and wash-free, (2) it has an ultrahigh sensitivity and signal-to-noise ratio, and (3) it can be visualized without any instrumental aid, indicating a significant potential for ultrasensitive biosensing.

[Effect of betulinic acid on proliferation of human gastric cancer SGC-7901 cells].

Objective: Human gastric cancer SGC-7901 cells were treated with betulinic acid(BA)at the concentrations of 0, 10, 20, and 30 µg/ml, and treated with conventional chemotherapeutic drug 5-Fu as a positive control to explore its effect on cell proliferation. Trypan blue and GIEMSA staining method were used to investigate the effect of BA on cell growth inhibition and clone formation. EdU method and flow cytometry were used to explore the proliferation and cell cycle of SGC-7901 cells after treated with BA, respectively. qRT-PCR and Western blot were also applied to determine the mRNA and protein levels of cyclin D1 and cyclin B1. Results: The cell growth inhibition rate was increased after treated with different concentrations of BA in SGC-7901 cells(P＜0.05). After treated for 48 h, BA decreased the clone information and cell proliferation of SGC-7901 cells markedly in dose-and time-dependent manners (P＜0.01). Flow cytometry analysis showed that BA obviously increased the proportion of SGC-7901 cells in G1 phase but decreased the proportion of those in S phase. qRT-PCR and Western blot analysis showed that the mRNA and protein levels of cyclin D1 and cyclin B1 were significantly downregulated by BA at different concentrations(P＜0.01). Compared with the 5-Fu control group, when the concentration of BA was 20 µg/ml and 30 µg/ml, the cell proliferation ability was significantly decreased, the cell cycle was inhibited, and the expression of cyclin was reduced (all P＜0.05). Conclusion: The betulinic acid regulates the proliferation of SGC-7901 cells by inhibiting the expressions of cyclin D1 and cyclin B1, which leads to cell cycle arrest and proliferative inhibition.

Precisely Tuning LSPR Property via "Peptide-Encoded" Morphological Evolution of Gold Nanorods for Quantitative Visualization of Enzyme Activity.

Longitudinal surface plasmon resonance (LSPR)-based optical signals possess unique advantages in biomolecular sensing and detection which can be attributed to their ultrahigh sensitivity and signal-to-noise ratio. However, the lack of effective strategies for morphological control of gold nanorods (GNRs) complicates the precise tuning of their LSPR property. Herein, a "peptide-encoded" strategy was first developed to precisely control the morphologies of GNRs via overgrowth of GNR seeds in the presence of thiol-containing peptides. Significantly, the "peptide-encoded" GNRs exhibit a tunable LSPR peak ranging from 685 to 877 nm by altering the amount of peptide. A few obvious colorimetric changes were accompanied from pink to purple and even to blue. Other parameters, e.g., pH, temperature, and Ag+ concentration, could also be utilized to regulate the morphologies of the "peptide-encoded" GNRs. The ultrasensitive detection of tumor-related protease activities based on LSPR peak shifts was further successfully performed without the need for labeling or instrumental aid, achieving a limit of detection of 60 fM. It is much lower than traditional absorption-based analysis (1 nM) and enzyme-linked immunosorbent assay (ELISA) method (1 pM), indicating the great potential of this peptide-encoded strategy in the application of ultrasensitive biomarker assay and clinical diagnosis.

A simple enzyme-assisted cascade amplification strategy for ultrasensitive and label-free detection of DNA.

A simple fluorescence biosensor is developed based on the enzyme-assisted cascade amplification strategy. The amplification system consists of a hairpin-structure DNA (H-DNA) and exonuclease III. The target DNA can hybridize with the H-DNA and initiate exonuclease III-assisted target recycling amplification to generate abundant G-rich DNA (G-DNA). One region of G-DNA is designed to possess the same sequence as target DNA. Thus, the G-DNA can also hybridize with H-DNA and initiate the digestion of H-DNA. The cascade strategy in this amplification system causes the concentration of G-DNA to grow exponentially. The fluorescence intensity of N-methylmesoporphyrin IX (NMM) is highly enhanced due to the formation of G-quadruplex configuration. Under optimal conditions, the cascade system could achieve an admirable sensitivity with a detection limit of 52 fM for HIV DNA, and guarantees a satisfactory specificity. Moreover, the cascade system could be implemented for other target DNA detections by substituting the recognition region of the H-DNA. In this way, a detection limit of 65 fM for HBV DNA could be achieved by the cascade system. The target DNA analysis in a real serum sample further indicates that this biosensor has potential for future application in clinical diagnosis. Graphical abstract A simple and label-free cascade amplification strategy is developed by exploiting hairpin DNA and EXO III for sensitive DNA detection.

DNA-fueled target recycling-induced two-leg DNA walker for amplified electrochemical detection of nucleic acid.

Taking advantage of the homogeneous and heterogeneous electrochemical biosensors, a simple, sensitive, and selective electrochemical biosensor is constructed by combining entropy-driven amplification (EDA) with DNA walker. This electrochemical biosensor realizes the biorecognition and EDA operation in homogeneous solution, which is beneficial to improve the recognition and amplification efficiency. A two-leg DNA walker generated by EDA can walk on the surface of gold electrode for cleaving the immobilized substrate DNA and releasing the electroactive labels, giving rise to a significant decrease of the electrochemical signal. The immobilization of the electroactive labels ensures the reproducibility and reliability of the biosensor. The present cascade amplification assay can be applied to detect target DNA with a detection limit of 0.29 fM, and base mutations can be easily distinguished. Moreover, the proposed electrochemical biosensor shows a satisfactory performance for the detection of target DNA in human serum. Thus, the novel electrochemical biosensor holds promising potential for a future application in disease diagnosis.

Autonomous DNA nanomachine based on cascade amplification of strand displacement and DNA walker for detection of multiple DNAs.

DNA can be modified to function as a scaffold for the construction of a DNA nanomachine, which can then be used in analytical applications if the DNA nanomachine can be triggered by the presence of a diagnostic DNA or some other analyte. We herein propose a novel and powerful DNA nanomachine that can detect DNA via combining the tandem strand displacement reactions and a DNA walker. Three different DNA sensing platforms are described, where the whole DNA machine was constructed on a gold electrode (GE). This cascade multiple amplification strategy exhibited an excellent sensitivity. Under optimal conditions, the electrochemical sensor could achieve a detection limit of 36 fM with a linear range from 50 to 500 fM. In particular, the electrochemical sensor could easily distinguish the base mutations. More interestingly, the DNA nanomachine could be used to construct analog AND and OR logic gates. We demonstrate that electrochemical signals generated from the different input combinations can be used to distinguish multiple target DNAs. The practical applicability of the present biosensor is demonstrated by the detection of target DNA in human serum with satisfactory results, which holds great potential for a future application in clinical diagnosis.