Highly Sensitive and Specific Mass Spectrometric Platform for miRNA Detection Based on the Multiple-Metal-Nanoparticle Tagging Strategy

A Fluorescence Light-Up 3D DNA Walker Driven and Accelerated by Endogenous Adenosine-5'-triphosphate for Sensitive and Rapid Label-Free MicroRNA Detection and Imaging in Living Cells

Herein, a fluorescence light-up 3D DNA walker (FLDW) was powered and accelerated by endogenous adenosine-5'-triphosphate (ATP) molecules to construct a biosensor for sensitive and rapid label-free detection and imaging of microRNA-221 (miRNA-221) in malignant tumor cells. Impressively, ATP as the driving force and accelerator for FLDW could significantly accelerate the operation rate of FLDW, reduce the likelihood of errors in signaling, and improve the sensitivity of detection and imaging. When FLDW was initiated by output DNA H1-op transformed by target miRNA-221, G-rich sequences in the S strand, anchored to AuNP, were exposed to form G-quadruplexes (G4s), and thioflavin T (ThT) embedded in the G4s emitted intense fluorescence to realize sensitive and rapid detection of target miRNA-221. Meanwhile, the specific binding of ThT to G4 with a weak background fluorescence response was utilized to enhance the signal-to-noise ratio of the label-free assay straightforwardly and cost-effectively. The proposed FLDW system could realize sensitive detection of the target miRNA-221 in the range of 1 pM to 10 nM with a detection limit of 0.19 pM by employing catalytic hairpin assembly (CHA) to improve the conversion of the target. Furthermore, by harnessing the abundant ATP present in the tumor microenvironment, FLDW achieved rapid and accurate imaging of miRNA-221 in cancer cells. This strategy provides an innovative and high-speed label-free approach for the detection and imaging of biomarkers in cancer cells and is expected to be a powerful tool for bioanalysis, diagnosis, and prognosis of human diseases.

Discrimination of Multiple Homologous Sequences Based on DNA Logic Gate and Elemental Labeling Technology

The simultaneous discrimination of multiple homologous sequences faces challenges due to the high similarity of sequences and the complexity of the discrimination system in most reported works. Herein, a simple and ingenious analysis method was developed to identify eight miRNAs of the let-7 family by combining logic gates and entropy-driven catalytic (EDC)-based lanthanide labeling inductively coupled plasma mass spectrometry (ICP-MS) technology. Specifically, eight miRNAs were first divided into four types according to the difference of bases in the domains 2 and 3 on sequences. To identify the type of targets, a DNA logic gate was constructed with two strand displacement reactions on magnetic beads that could be initiated by different types of targets. Based on the difference of the output signals after two strand displacement reactions, the type of targets was distinguished preliminarily. Then, the discrimination of a specific target was achieved with EDC-based lanthanide labeling ICP-MS detection. By labeling the different magnetic probes with different elemental tags, a specific element signal released from magnetic beads after EDC could be detected by ICP-MS, and therefore, simultaneous detection of homologous sequences was completed. This work provided a novel and simple method for highly specific identification of homologous sequences with the assistance of a logic gate and can promote further development of elemental labeling ICP-MS in the field of multiple analysis.

Integrating aptasensor with an explosive mass-tag signal amplification strategy for ultrasensitive and multiplexed analysis using a miniature mass spectrometer

Mass probes attached with aptamers and mass tags offer excellent specificity and sensitivity for multiplexed detection, wherein the dissociation of mass tags from the mass probes is as important as their labeling. Herein, aggregation-induced emission luminogen (AIEgen)-tagged mass probes (AIEMPs) were established to analyze estrogens, which integrated aptasensor with an explosive mass-tag signal amplification strategy via a simple ultrasound-assisted emulsification of nanoliposomes. The AIEMPs were assembled by the hybridization of aptamer-modified Fe3O4 nanoparticles (Fe NPs@Apt) and nanoliposomes loaded with massive AIEgen mass tags and partially complementary DNA strands (AIE NLs@cDNA). The aptamer was preferentially and specifically bound to estrogen, resulting in the detachment of AIE NLs from AIEMPs. Subsequently, the AIEMPs were deposited with electrospray solvents for explosive release of mass tags. Using nanoelectrospray ionization mass spectrometry (nanoESI-MS), the AIEMP-based aptasensor achieved ultrasensitive analysis of estrogens with limits of detection of 0.168-0.543 pg/mL and accuracies in the range of 87.9-114.0%. Compared to direct nanoESI-MS detection, the AIEMP-based aptasensor provides a signal amplification of four orders of magnitude. Furthermore, the utilization of different AIEMPs enables multiplexed detection of three estrogens with a miniature mass spectrometer, showing promising potential for on-site detection. This work expands the diversity of mass-tagging strategy and provides a versatile mass probe-based aptasensor platform for routine MS detection of trace analytes.

Simultaneous detection of dual microRNAs related to EV71 using ICP-MS based on metal nanoparticle labeling with hybridization chain reaction

BACKGROUND

Hand, foot, and mouth (HMFD) disease caused by enterovirus 71 (EV 71), is closely associated with severe clinical manifestations and can be deadly. Early detection of EV 71 can be achieved by detecting the increment in miR296 and miR16 in the serum. Using HCR to amplify signals and convert biological signals into metal nanoparticle signals detectable by ICP-MS is a detection method that can collect more accurate and reliable information, compared with traditional methods, in the detection of biological samples.

RESULTS

We described a strategy for the simultaneous detection of miR296 and miR16 by ICP-MS based on metal nanoparticles (NPs) labeling with HCR. Briefly, single-stranded DNA (ssDNA) and magnetic beads (MBs), as well as NPs and signal probes for miRNA (Sp-miR) were firstly conjugated via the streptavidin-biotin recognition system, constituting ssDNA-MBs and NPs-Sp-miR complex, respectively. The latter complex then hybridized with the former through HCR, generating the nanosensors for targets. Then, the targets were added and hybridized with ssDNA, and the HCR complex with NPs was released into the solution. Finally, the corresponding signals of the NPs were measured by ICP-MS. Results demonstrated that the developed method had good sensitivity and satisfactory selectivity and precision. Furthermore, when applied to biological samples with a complex matrix, the developed method also showed good recovery (88 % - 92 %) and reproducibility (RSD<10 %).

SIGNIFICANCE

This method contributes to the early diagnosis of HFMD and opens up ideas for the further development of high-throughput biomarker detection. The strategy has practical potential for miR296 and miR16 detection in biological samples and provides a promising tool for multiple miRNA detection.

A novel nomogram predicting early neurological deterioration after intravenous thrombolysis for acute ischemic stroke

Objectives

Intravenous thrombolysis therapy (IVT) with recombinant tissue plasminogen activator has proven to be a beneficial treatment for acute ischemic stroke (AIS) patients when administered within 4.5 h after a stroke. This study aimed to investigate an available and inexpensive predictive tool for early neurological deterioration in AIS.

Methods

Patients admitted to our department with acute stroke who were given IVT with recombinant tissue plasminogen activator within 4.5 h of stroke onset were included in the study. The NIH stroke scale (NIHSS) was used to assess patients' neurological state prior to IVT and for 24 h after. Early neurological deterioration was defined as occurring if the NIHSS total score increased by ≥ 4 or the NIHSS individual score increased by ≥ 2 compared to baseline. Patients were randomly assigned to training or validation cohorts.

Results

Of the 266 AIS patients receiving IVT who were screened, 217 were deemed eligible for the study. Multivariate logistic regression analysis identified smoking history, NIHSS score, homocysteine level, and neutrophil to lymphocyte ratio as independent factors for predicting early neurological deterioration. ROC analysis was used to assess the quality of the resulting nomogram. The AUC for the training dataset was 0.826 (95 % CI, 0.719-0.932), and for the validation dataset was 0.887 (95 % CI, 0.763-1.000).

Conclusion

The robustness of this nomogram suggests that it may be a reliable tool for evaluating the progression of AIS after IVT.

Particulate Standard Establishment for Absolute Quantification of Nanoparticles by LA-ICP-MS

The development of nanotechnology has transformed many cutting-edge studies related to single-molecule analysis into nanoparticle (NP) detection with a single-NP sensitivity and ultrahigh resolution. While laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) has been successful in quantifying and tracking NPs, its quantitative calibration remains a major challenge due to the lack of suitable standards and the uncertain matrix effects. Herein, we frame a new approach to prepare quantitative standards via precise synthesis of NPs, nanoscale characterization, on-demand NP distribution, and deep learning-assisted NP counting. Gold NP standards were prepared to cover the mass range from sub-femtogram to picogram levels with sufficient accuracy and precision, thus establishing an unambiguous relationship between the sampled NP number in each ablation and the corresponding mass spectral signal. Our strategy facilitated for the first time the study of the factors affecting particulate sample capture and signal transductions in LA-ICP-MS analysis and culminated in the development of an LA-ICP-MS-based method for absolute NP quantification with single-NP sensitivity and single-cell quantification capability. The achievements would herald the emergence of new frontiers cut across a spectrum of toxicological and diagnostic issues related to NP quantification.

DNA tetrahedron-based CRISPR bioassay for treble-self-amplified and multiplex HPV-DNA detection with elemental tagging

Sensitive quantification of multiple analytes of interest is of great significance for clinical diagnosis. CRISPR Cas platforms offer a strategy for improving the specificity, sensitivity, and speed of nucleic acid-based diagnostics, while their multiplex analysis capability is still limited and challenging. Herein, we develop a novel DNA Tetrahedron (DTN)-supported biosensor based on the spatially separated CRISPR Cas self-amplification strategy and multiple-metal-nanoparticle tagging coupled with inductively coupled plasma mass spectrometry (ICP-MS) detection to improve the sensitivity and feasibility of the platform for multiplex detection of HPV-DNA (HPV-16, HPV-18 and HPV-52). Given target DNA induces robust trans-cleavage activity of the Cas12a/crRNA duplex, and the surrounding corresponding single-stranded DNA (ssDNA) linker are cleaved into short fragments that are unable to bond metal-nanoparticle probes (¹⁹⁷Au, ¹⁰⁷Ag, ¹⁹⁵Pt) onto DTN modified magnetic beads probe (MBs-DTN), resulting in obvious ICP-MS signal change. Of note, compared with ssDNA functionalized MBs, a higher Signal-to-Noise Ratio was obtained by using MBs-DTN in our system, further amplifying the signal by regulating probes on the surface of MBs. As expected, the HPV-DNA could be detected with detection limits as low as 218 fM and be multiplexed assayed at one test with high accuracy and specificity by this proposed strategy. Furthermore, we demonstrated that the HPV-DNA in cervical swab samples could be detected, showing high consistency with DNA sequencing results. We believe that this work provides a promising option in designing CRISPR based multiplex detection system for high sensitivity, good specificity, and clinical molecular diagnostics.

A renewable platform based on the entropy-driven catalytic amplification and element labeling inductively coupled plasma mass spectrometry for microRNA analysis

The element labeling inductively coupled plasma mass spectrometry (ICP-MS) strategy has been increasingly applied to the bioanalysis for various bio-targets. Herein, a renewable analysis platform with element labeling ICP-MS was firstly proposed for microRNA (miRNA) analysis. The analysis platform was established on the magnetic bead (MB) with entropy-driven catalytic (EDC) amplification. When the EDC reaction was initiated by target miRNA, numerous strands labeled with Ho element were released from MBs, and ¹⁶⁵Ho in the supernatant detected by ICP-MS could reflect the amount of target miRNA. After detection, the platform was easily regenerated by adding strands to reassemble EDC complex on MBs. This MB platform could be used four times, and the limit of detection for miRNA-155 was 8.4 pmol L^-1. Moreover, the developed regeneration strategy based on EDC reaction can be easily expanded to other renewable analysis platforms, such as, the renewable platform involving EDC and rolling circle amplification technology. Overall, this work proposed a novel regenerated bioanalysis strategy to reduce the consumption of reagent and time for probe preparation, profiting the development of bioassay based on element labeling ICP-MS strategy.

NIR Photocontrolled Fluorescent Nanosensor under a Six-Branched DNA Nanowheel-Induced Nucleic Acid Confinement Effect for High-Performance Bioimaging

Although DNA nanotechnology is a promising option for fluorescent biosensors to perform bioimaging, the uncontrollable target identification during biological delivery and the spatially free molecular collision of nucleic acids may cause unsatisfactory imaging precision and sensitivity, respectively. Aiming at solving these challenges, we herein integrate some productive notions. On the one hand, the target recognition component is inserted with a photocleavage bond and a core-shell structured upconversion nanoparticle with a low thermal effect is further employed to act as the ultraviolet light generation source, under which a precise near-infrared photocontrolled sensing is achieved through a simple external 808 nm light irradiation. On the other hand, the collision of all of the hairpin nucleic acid reactants is confined by a DNA linker to form a six-branched DNA nanowheel, after which their local reaction concentrations are vastly enhanced (∼27.48 times) to induce a special nucleic acid confinement effect to guarantee highly sensitive detection. By selecting a lung cancer-associated short noncoding microRNA sequence (miRNA-155) as a model low-abundance analyte, it is demonstrated that the newly established fluorescent nanosensor not only presents good in vitro assay performance but also exhibits a high-performance bioimaging competence in live biosystems including cells and mouse body, propelling the progress of DNA nanotechnology in the biosensing field.

Mass tag-encoded nanointerfaces for multiplexed mass spectrometric analysis and imaging of biomolecules

Revealing multiple biomolecules in the physiopathological environment simultaneously is crucial in biological and biomedical research. Mass spectrometry (MS) features unique technical advantages in multiplexed and label-free analyses. However, owing to comparably low abundance and poor ionization efficiency of target biomolecules, direct MS profiling of these biological species in vitro or in situ remains a challenge. An emerging route to solve this issue is to devise mass tag (MT)-encoded nanointerfaces which specifically convert the abundance or activity of biomolecules into amplified ion signals of mass tags, offering an ideal strategy for synchronous MS assaying and mapping of multiple targets in biofluids, cells and tissues. This review provides a thorough and organized overview of recent advances in MT-encoded nanointerfaces elaborately tailored for several practical applications in multiplexed MS bioanalysis and biomedical research. First, we start with elucidation of the structural characteristics and working principle of MT-encoded nanointerfaces in specific labeling and sensing of multiple biological targets. In addition, we further discuss the application scenarios of MT-encoded nanointerfaces particularly in multiplexed biomarker assays, cell analysis, and tissue imaging. Finally, the current challenges are pointed out and future prospects of these nanointerfaces in MS analysis are forecast.

Real-Time Biosensor Platform Based on Novel Sandwich Graphdiyne for Ultrasensitive Detection of Tumor Marker

Realization of a highly sensitive analysis and sensing platform is important for early-stage tumor diagnosis. In this work, a self-powered biosensor with a novel sandwich graphdiyne (SGDY) combined with an aptamer-specific recognition function was developed to sensitively and accurately detect tumor markers. Results indicated that the detection limits of microRNA (miRNA)-21 and miRNA-141 were 0.15 and 0.30 fM (S/N = 3) in the linear range of 0.05-10000 and 1-10000 fM, respectively. The newly designed platform has great promise for early-stage tumor diagnosis.

Sense and Validate: Fluorophore/Mass Dual-Encoded Nanoprobes for Fluorescence Imaging and MS Quantification of Intracellular Multiple MicroRNAs

Simultaneously monitoring and quantifying intracellular multiple microRNAs (miRNAs) is highly essential to clinical diagnosis and pathological research. However, revealing the intracellular distribution of multiple miRNAs while determining their content in a multiplex and quantitative format remains challenging. Considering the respective technical merit of fluorescence imaging and mass spectrometry (MS) in in situ detection and multiplex assaying, we herein propose fluorophore/mass dual-encoded nanoprobes (FMNPs) that can execute target-triggered hairpin self-assembly to enable in situ amplified imaging and follow-up MS quantification of intracellular multiple miRNAs. The FMNPs responsive to the target miRNA were constructed by codecorating gold nanoparticles (AuNPs) with locked hairpin DNA probes (LH1) and corresponding mass tags (MTs) for fluorescent and mass spectrometric dual-modal readout. Cellular miRNAs can separately trigger recycled hairpin self-assembly, leading to the continuous liberation of fluorophore-labeled bolt DNA (bDNA) for fluorescence imaging in cells. Moreover, the postreaction FMNPs afford an extra chance to validate the fluorescence output of miRNA-21 and miRNA-141 by accurate MS quantification relying on the ion signal of the barcoded MTs. Fluorescence imaging and MS quantification of miRNA-21 and miRNA-141 have also been successfully accomplished in different cell lines, highlighting its potential in cell subtyping. This "sense-and-validate" strategy creates a new modality for assaying multiple intracellular miRNAs and holds great promise in unveiling multicomponent-involved events in cellular processes and determining multiple biomarkers in accurate clinical diagnosis.

A Novel Ratiometric Electrochemical Biosensor Using Only One Signal Tag for Highly Reliable and Ultrasensitive Detection of miRNA-21

Herein, a novel ratiometric electrochemical biosensor with methylene blue (MB) as the only one signal tag was proposed for highly reliable and ultrasensitive detection of microRNA-21 (miRNA-21) under the assistance of an intelligent target-induced dual signal amplification (T-DSA). First, a small amount of target miRNA-21 could produce abundant mimic targets DNA S1 and Zn²⁺ through target-induced recycle and acid dissolution, respectively. Then, S1 triggered rolling circle amplification (RCA) to generate functional DNA nanospheres (DSP) encoded by DNAzyme and substrate sequence for loading numerous signal tag MB with a remarkable electrochemical signal (signal on), and the Zn²⁺ cofactor mediated the nonviolent DNAzyme-catalyzed cleavage of DSP to sharply release MB with obviously reduced electrochemical responses (signal off). Impressively, our strategy could controllably load and release the only signal tag MB through the well-designed DSP to effectively avoid the false positive responses caused by the non-ideal upright state of DNA probes connected to electrodes in traditional distance-dependent signal adjustment ratiometric strategies with two different signal tags. Meanwhile, with the aid of innovative T-DSA recycle and RCA-produced functional DSP, the detection sensitivity of this sensing platform was significantly improved. As a result, the proposed biosensor successfully realized highly reliable and ultrasensitive detection of miRNA-21 with a detection limit down to 26.7 aM, which shows exceptional promise in biological analysis and medical diagnosis.

Quantifying Chemical Composition and Reaction Kinetics of Individual Colloidally Dispersed Nanoparticles

To control a nanoparticle's chemical composition and thus function, researchers require readily accessible and economical characterization methods that provide quantitative in situ analysis of individual nanoparticles with high throughput. Here, we established dual analyte single-particle inductively coupled plasma quadrupole mass spectrometry to quantify the chemical composition and reaction kinetics of individual colloidal nanoparticles. We determined the individual bimetallic nanoparticle mass and chemical composition changes during two different chemical reactions: (i) nanoparticle etching and (ii) element deposition on nanoparticles at a rate of 300+ nanoparticles/min. Our results revealed the heterogeneity of chemical reactions at the single nanoparticle level. This proof-of-concept study serves as a framework to quantitatively understand the dynamic changes of physicochemical properties that individual nanoparticles undergo during chemical reactions using a commonly available mass spectrometer. Such methods will broadly empower and inform the synthesis and development of safer, more effective, and more efficient nanotechnologies that use nanoparticles with defined functions.

Dual-wavelength responsive photoelectrochemical aptasensor based on ionic liquid functionalized Zn-MOFs and noble metal nanoparticles for the simultaneous detection of multiple tumor markers

A single tumor marker may correspond to a variety of diseases, and a specific disease requires the joint detection of multiple tumor markers for improving the accuracy of diagnoses. An ionic liquid-functionalized metal-organic framework (Zn-MOF microspheres) was used as the substrate to capture the aptamer (Ab1), and noble metal nanoparticles were used to label a signal aptamer (Ab2) to construct a dual-wavelength responsive sandwich-type photoelectrochemical (PEC) aptasensor. Due to the size effect, plasma resonance and the response of the noble metal nanoparticle enhancement system to different excitation wavelengths, the simultaneous detection of CEA and CA153 tumor markers was realized. Under the optimized conditions, CA153 and CEA at concentrations of 0.05-100 U mL^-1 and 0.005-10 ng mL^-1 were detected by the PEC aptasensor. Detection limits calculated for CA153 and CEA determinations were 0.0275 U mL^-1 and 2.85 pg mL^-1 (S/N = 3), respectively. CA153 and CEA in serum samples were detected by the PEC aptasensor, and their concentrations were well consistent with that obtained from the ELISA. In addition, the PEC aptasensor exhibited a recovery rate of 96.98%-103.4%, and a relative standard deviation of 1.1%-3.6%, indicating good practical value and accuracy, further confirming its potential for clinical diagnosis.