DNA self-assembly-boosted transcription amplification coupled with CRISPR/Cas13a system for plant microRNA analysis.

MicroRNAs (miRNAs) play important roles in the growth process of plants, and some food-originated plant miRNAs have potential impacts on human health, which makes the detection of plant miRNAs of great significance. However, plant miRNAs are naturally modified with 2'-O-methyl at the 3'-terminal, which is difficult to be directly quantified by enzyme-catalyzed terminal polymerization protocols. Herein, we have proposed a simple strategy by coupling DNA self-assembly-boosted transcription amplification with CRISPR/Cas13a platform (termed as Cas13a-SATA) for the specific and sensitive detection of plant miRNA. In the Cas13a-SATA, the plant miRNA will mediate DNA self-assembly on the surface of microbeads and then trigger efficient transcription amplification to yield numerous single-stranded RNA (ssRNA) molecules, which can effectively activate the Cas13a trans-cleavage activity to generate intense fluorescence signal in a plant miRNA dosage-responsive manner. Using the Cas13a-SATA, we have realized the sensitive detection of plant miR156a with the limit of detection (LOD) down to 3.8 fM. Furthermore, Cas13a-SATA has been successfully applied to the accurate quantification of miR156a in Arabidopsis and maize, demonstrating its feasibility in analyzing plant miRNAs in real biological samples.

Direct quantification of N6-methyladenosine fractions at specific site in RNA based on deoxyribozyme mediated CRISPR-Cas12a platform.

As the most abundant modification in eukaryotic messenger RNA (mRNA) and long noncoding RNA (lncRA), N6-methyladenosine (m6A) has been shown to play essential roles in various significant biological processes and attracted growing attention in recent years. To investigate its functions and dynamics, there is a critical need to quantitatively determine the m6A modification fractions at a precise location. Here, we report a deoxyribozyme mediated CRISPR-Cas12a platform (termed "DCAS") that can directly quantify m6A fractions at single-base resolution. DCAS employs a deoxyribozyme (VMC10) to selectively cleave the unmodified adenine (A) in the RNA, allowing only m6A-modified RNA amplified by RT-PCR. Leveraging the CRISPR-Cas12a quantify the PCR amplification products, DCAS can directly determine the presence of m6A at target sites and its fractions. The combination of CRISPR-Cas12a with RT-PCR has greatly improved the sensitivity and accuracy, enabling the detection of m6A-modified RNA as low as 100 aM in 2 fM total target RNA. This robustly represents an improvement of 2-3 orders of magnitude of sensitivity and selectivity compared to traditional standard methods, such as SCARLET and primer extension methods. Therefore, this method can be successfully employed to accurately determine m6A fractions in real biological samples, even in low abundance RNA biomarkers.

Single Methylation Sensitive Restriction Endonuclease-Based Cascade Exponential Amplification Assay for Visual Detection of DNA Methylation at Single-Molecule Level.

Function as a potential cancer biomarker, DNA methylation shows great significance in cancer diagnosis, prognosis, and treatment monitoring. While the lack of an ultrasensitive, specific, and accurate method at the single-molecule level hinders the analysis of the exceedingly low levels of DNA methylation. Herein, based on the outstanding recognition and digestion ability of methylation-sensitive restriction endonuclease (MSRE), we established a single MSRE-based cascade exponential amplification method, which requires only two ingeniously designed primers and only one recognition site of MSRE for the detection of DNA methylation. Differentiated by MSRE digestion, the cleaved unmethylated DNA is too short to induce any amplification reactions, while methylated DNA remains intact to trigger cascade exponential amplification and the subsequent CRISPR/Cas12a system. By integrating the two exponential amplification reactions, as low as 1 aM methylated DNA can be accurately detected, which corresponds to 6 molecules in a 10 µL system, indicating that our method is more sensitive than single amplification-based methods with the ability to detect DNA methylation at the single-molecule level. In addition, 0.1% methylated DNA can be effectively distinguished from large amounts of unmethylated DNA. Our method is further introduced to exploit the expression difference of DNA methylation among normal cells and cancer cells. Moreover, the visual detection of DNA methylation is also realized by the full hybridization between amplification products and the crRNA of CRISPR/Cas12a. Therefore, the proposed method has great potential to be a promising and robust bisulfite-free method for the detection of DNA methylation at the single-molecule level, which is of great importance for early diagnosis of cancer.

Capillarity-powered and CRISPR/Cas12a-responsive DNA hydrogel distance sensor for highly sensitive visual detection of HPV DNA.

The rapid and specific identification and sensitive detection of human papillomavirus (HPV) infection is critical for preventing cervical cancer, particularly in resource-limited regions. In this work, we hope to propose a capillarity-powered and CRISPR/Cas12a-responsive DNA hydrogel distance sensor for point-of-care (POC) DNA testing. Using the thermal reversibility of DNA hydrogel and capillarity, the novel DNA hydrogel distance sensor can be rapidly and simply constructed by loading an ultra-thin CRISPR/Cas12a-responsive DNA-crosslinked hydrogel film at the end of the capillary tube. The target DNA-specific recombinase polymerase reaction (RPA) amplicons activate the trans-cleavage activity of the Cas12a enzyme, cleaving the crosslinked DNA in hydrogel film, and causing an increase of hydrogel's permeability. As a result, a sample solution containing target DNA travels into the capillary tube at a longer distance compared to the negative samples. Reading the solution traveling distance in capillary tubes, the novel sensor realizes target DNA detection without any special equipment. Benefiting from the exponential target amplification of RPA and multiple turnover response of trans-cleavage of CRISPR/Cas12a, the developed sensor can visually and specifically detect as low as 1 aM HPV 16 DNA within 30 min. These outstanding features, including exceptional sensitivity and specificity, simple and portable design, mild measurement conditions, quick turnaround time, and user-friendly read-out, make the novel distance sensor a promising option for POC diagnostic applications.

A Membrane-Confined Signal Amplification Strategy for Sensitive Monitoring of Extracellular Enzymatic Activity Upon Drug Stimulus.

Extracellular enzymes are not only strongly correlated with disease development but also play critical roles in modulating immune responses. Therefore, real-time monitoring of extracellular enzymatic activity can afford straightforward insights into their spatiotemporal dynamics upon drug stimulus, and provide promising tools to unravel their key roles in modulating the cell signaling. Although DNA-based sensing probes have been frequently developed for the detection of a variety of biomolecules, there still lacks a modular design strategy for amplified imaging of extracellular enzymatic activity associated with live cells. Herein, we developed an enzymatically triggerable signal amplification strategy for real-time dynamic imaging of extracellular enzyme activity through a cell membrane-confined hybrid chain reaction (HCR). We demonstrated that, by modifying the initiator DNA with enzyme-specific incision sites and cholesterol tail, extracellular enzyme-trigged HCR could be fulfilled on the surface of the cellular membrane, facilitating amplified detection of extracellular enzymatic activity. Dynamic monitoring of enzyme secretion of cancer cells upon stimulus or macrophage cells upon inflammation challenge has also been achieved. We envision that the design strategy could provide valuable information for dissecting the role of extracellular enzymes in modulating cell responses to drug treatment.

Boundary guidance network for medical image segmentation.

Accurate segmentation of the tumor area is crucial for the treatment and prognosis of patients with bladder cancer. Cystoscopy is the gold standard for diagnosing bladder tumors. However, The vast majority of current work uses deep learning to identify and segment tumors from CT and MRI findings, and rarely involves cystoscopy findings. Accurately segmenting bladder tumors remains a great challenge due to their diverse morphology and fuzzy boundaries. In order to solve the above problems, this paper proposes a medical image segmentation network with boundary guidance called boundary guidance network. This network combines local features extracted by CNNs and long-range dependencies between different levels inscribed by Parallel ViT, which can capture tumor features more effectively. The Boundary extracted module is designed to extract boundary features and utilize the boundary features to guide the decoding process. Foreground-background dual-channel decoding is performed by boundary integrated module. Experimental results on our proposed new cystoscopic bladder tumor dataset (BTD) show that our method can efficiently perform accurate segmentation of tumors and retain more boundary information, achieving an IoU score of 91.3%, a Hausdorff Distance of 10.43, an mAP score of 85.3%, and a F1 score of 94.8%. On BTD and three other public datasets, our model achieves the best scores compared to state-of-the-art methods, which proves the effectiveness of our model for common medical image segmentation.

CRISPR/Cas13a-Responsive and RNA-Bridged DNA Hydrogel Capillary Sensor for Point-of-Care Detection of RNA.

Disease diagnostics and surveillance increasingly highlight the importance of portable, cost-effective, and sensitive point-of-care (POC) detection of nucleic acids. Here, we report a CRISPR/Cas13a-responsive and RNA-bridged DNA hydrogel capillary sensor for the direct and visual detection of specific RNA with high sensitivity. The capillary sensor was simply prepared by loading RNA-cross-linking DNA hydrogel film (∼0.2 mm ± 0.02 mm) at the end of a capillary. When CRISPR/Cas13a specifically recognizes the target RNA, the RNA bridge in the hydrogel film is cleaved by the trans-cleavage activity of CRISPR/Cas13a, increasing the permeability of the hydrogel film. Different concentrations of target RNA activate different amounts of Cas13a, cleaving different amounts of the RNA bridge in the hydrogel and causing corresponding changes in the permeability of the hydrogel. Therefore, samples containing different amounts of the target RNA travel to different distances in the capillary. Visual reading of the distance provides quantitative detection of the RNA target without the need for any nucleic acid amplification or auxiliary equipment. The technique was successfully used for the determination of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in clinical nasopharyngeal (NP) swab and saliva samples. Easily quantifiable distance using a ruler eliminates the need for any optical or electrochemical detection equipment, making this assay potentially useful for POC and on-site applications.

Non-Line-of-Sight Imaging and Vibrometry Using a Comb-Calibrated Coherent Sensor.

Non-line-of-sight (NLOS) imaging has the ability to reconstruct hidden objects, allowing a wide range of applications. Existing NLOS systems rely on pulsed lasers and time-resolved single-photon detectors to capture the information encoded in the time of flight of scattered photons. Despite remarkable advances, the pulsed time-of-flight LIDAR approach has limited temporal resolution and struggles to detect the frequency-associated information directly. Here, we propose and demonstrate the coherent scheme-frequency-modulated continuous wave calibrated by optical frequency comb-for high-resolution NLOS imaging, velocimetry, and vibrometry. Our comb-calibrated coherent sensor presents a system temporal resolution at subpicosecond and its superior signal-to-noise ratio permits NLOS imaging of complex scenes under strong ambient light. We show the capability of NLOS localization and 3D imaging at submillimeter scale and demonstrate NLOS vibrometry sensing at an accuracy of dozen Hertz. Our approach unlocks the coherent LIDAR techniques for widespread use in imaging science and optical sensing.

Metabolic engineering of Saccharomyces cerevisiae for high-level production of (+)-ambrein from glucose.

(+)-Ambrein is the primary component of ambergris, a rare product found in sperm whales (Physeter microcephalus). Microbial production using sustainable resources is a promising way to replace animal extraction and chemical synthesis. We constructed an engineered yeast strain to produce (+)-ambrein de novo. Squalene is a substrate for the biosynthesis of (+)-ambrein. Firstly, strain LQ2, with a squalene yield of 384.4 mg/L was obtained by optimizing the mevalonate pathway. Then we engineered a method for the de novo production of (+)-ambrein using glucose as a carbon source by overexpressing codon-optimized tetraprenyl-ß-curcumene cyclase (BmeTC) and its double mutant enzyme (BmeTCY167A/D373C), evaluating different promoters, knocking out GAL80, and fusing the protein with BmeTC and squalene synthase (AtSQS2). Nevertheless, the synthesis of (+)-ambrein is still limited, causing low catalytic activity in BmeTC. We carried out a protein surface amino acid modification of BmeTC. The dominant mutant BmeTCK6A/Q9E/N454A for the first step was obtained to improve its catalytic activity. The yield of (+)-ambrein increased from 35.2 to 59.0 mg/L in the shake flask and finally reached 457.4 mg/L in the 2 L fermenter, the highest titer currently available for yeast. Efficiently engineered strains and inexpensive fermentation conditions for the industrial production of (+)-ambrein. The metabolic engineering tools provide directions for optimizing the biosynthesis of other high-value triterpenes.

A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications.

Emotion recognition utilizing EEG signals has emerged as a pivotal component of human-computer interaction. In recent years, with the relentless advancement of deep learning techniques, using deep learning for analyzing EEG signals has assumed a prominent role in emotion recognition. Applying deep learning in the context of EEG-based emotion recognition carries profound practical implications. Although many model approaches and some review articles have scrutinized this domain, they have yet to undergo a comprehensive and precise classification and summarization process. The existing classifications are somewhat coarse, with insufficient attention given to the potential applications within this domain. Therefore, this article systematically classifies recent developments in EEG-based emotion recognition, providing researchers with a lucid understanding of this field's various trajectories and methodologies. Additionally, it elucidates why distinct directions necessitate distinct modeling approaches. In conclusion, this article synthesizes and dissects the practical significance of EEG signals in emotion recognition, emphasizing its promising avenues for future application.

Low-dose immune tolerance induction for severe hemophilia A inhibitor patients: Immunosuppressants are generally not necessary for inhibitor-titer below 200 BU/mL.

Importance: It remained unclear that the efficacy comparison between low-dose immune tolerance induction (LD-ITI) incorporating immunosuppressants (IS) when severe hemophilia A (SHA) patients had inhibitor-titer ≥200 Bethesda Units (BU)/mL (LD-ITI-IS200 regimen) and LD-ITI combining with IS when SHA patients had inhibitor-titer ≥40 BU/mL (LD-ITI-IS40 regimen). Objective: To compare the efficacy of the LD-ITI-IS200 regimen with that of the LD-ITI-IS40 regimen for SHA patients with high-titer inhibitors. Methods: A prospective cohort study on patients receiving LD-ITI-IS200 compared to those receiving LD-ITI-IS40 from January 2021 to December 2023. Both received LD-ITI [FVIII 50 IU/kg every other day]. IS (rituximab + prednisone) was added when peak inhibitor tier ≥200 BU/mL in the LD-ITI-IS200 regimen and ≥40 BU/mL in the LD-ITI-IS40 regimen. Success is defined as a negative inhibitor plus FVIII recovery ≥66% of the expected. Results: We enrolled 30 patients on LD-ITI-IS200 and 64 patients on LD-ITI-IS40, with similar baseline clinical characteristics. A lower IS-use rate was discovered in the LD-ITI-IS200 regimen compared to the LD-ITI-IS40 regimen (30.0% vs. 62.5%). The two regimens (LD-ITI-IS200 vs. LD-ITI-IS40) had similar success rate (70.0% vs. 79.7%), median time to success (9.4 vs. 10.6 months), and annualized bleeding rate during ITI (3.7 vs. 2.8). The cost to success was lower for LD-ITI-IS200 than for LD-ITI-IS40 (2107 vs. 3256 US Dollar/kg). Among patients with peak inhibitor-titer 40-199 BU/mL, 10 non-IS-using (on LD-ITI-IS200 regimen) and 28 IS-using (on LD-ITI-IS40 regimen) had similar success rates (70.0% vs. 78.6%) and time to success (9.0 vs. 8.8 months). Interpretation: In LD-ITI, IS are not necessary for inhibitor titer <200 BU/mL.

Dual CRISPR/Cas13a Cascade Strand Displacement-Triggered Transcription for Point-of-Care Detection of Plasmodium in Asymptomatic Malaria.

Asymptomatic infections of Plasmodium parasites are major obstacles to malaria control and elimination. A sensitive, specific, and user-friendly method is urgently needed for point-of-care (POC) Plasmodium diagnostics in asymptomatic malaria, especially in resource-limited settings. In this work, we present a POC method (termed Cas13a-SDT) based on the cascade sequence recognition and signal amplification of dual Cas13a trans-cleavage and strand displacement-triggered transcription (SDT). Cas13a-SDT not only achieves exceptional specificity in discriminating the target RNA from nontarget RNAs with any cross-interaction but also meets the sensitivity criterion set by the World Health Organization (WHO) for effective malaria detection. Remarkably, this novel method was successfully applied to screen malaria in asymptomatic infections from clinical samples. The proposed method provides a user-friendly and visually interpretable output mode while maintaining high accuracy and reliability comparable to RT-PCR. These excellent features demonstrate the significant potential of Cas13a-SDT for POC diagnosis of Plasmodium infections, laying a vital foundation for advancing malaria control and elimination efforts.

High-performance self-powered ultraviolet photodetector based on a ZnO/CuPc inorganic/organic heterojunction.

A self-powered photodetector (PD) based on n-type ZnO/p-type small-molecule copper(ii) phthalocyanine (CuPc) inorganic/organic heterojunction film deposited on FTO substrate was constructed by simple solution spin-coating and thermal evaporation technology. The designed heterojunction device exhibits typical photoresponse behavior under zero bias, indicating that the device possesses a self-powered characteristic. This may benefit from the formation of a built-in electric field in the heterojunction, which can effectively separate electron-hole pairs. Specifically, the optimal performances of the device appear at a wavelength of 365 nm and light intensity of 0.03 mW cm-2, achieving on/off ratio of ∼245.88 (29.88), responsivity (Rp) of ∼227.11 mA W-1 (0.39 mA W-1), detectivity (D*) of ∼7.63 × 1011 Jones (∼7.53 × 109 Jones) and EQE of ∼77.23% (0.14%) at +2 V (0 V) bias voltage. In addition, the device has potential application in weak light detection. Therefore, the construction of inorganic/organic heterojunctions may provide a feasible strategy for the development of high-performance, self-powered and wavelength-selective PDs.

Specific quantitative detection of N6-methyladenosine at single-base resolution by extension-based isothermal exponential amplification reaction (E-IEXPAR).

BACKGROUND: N6-methyladenosine (m6A) is a common modification in RNA, crucial for various cellular functions and associated with human diseases. Quantification of m6A at single-base resolution is of great significance for exploring its biological roles and related disease research. However, existing analysis techniques, such as polymerase chain reaction (PCR) or loop-mediated isothermal amplification (LAMP), face challenges like the requirement for thermal cycling or intricate primer design. Therefore, it is urgent to establish a simple, non-thermal cycling and highly sensitive assay for m6A. RESULTS: Leveraging the inhibitory effect of m6A on primer elongation and uncomplicated feature of the isothermal exponential amplification reaction (IEXPAR), we have developed an extension-based IEXPAR (E-IEXPAR). This approach requires just a single extension primer and one template, simplifying the design process in comparison to the more complex primer requirements of the LAMP methods. The reactions are conducted at constant temperatures, therby elimiating the use of thermal cycling that needed in PCR methods. By combining IEXPAR with an extension reaction, E-IEXPAR can identify m6A in RNA concentrations as low as 4 fM. We have also introduced a new analytical model to process E-IEXPAR results, which can aid to minimize the impact of unmodified adenine (A) on m6A measurements, enabling accurate m6A quantification in small mixed samples and cellular RNA specimens. SIGNIFICANCE AND NOVELTY: E-IEXPAR streamlines m6A detection by eliminating the need for intricate primer design and thermal cycling, which are common in current analytical methods. Its utilization of an extension reaction for the initial identification of m6A, coupled with a novel calculation model tailored to E-IEXPAR outcomes, ensures accurate m6A selectivity in mixed samples. As a result, E-IEXPAR offers a reliable, straightforward, and potentially economical approach for specifically assaying m6A in both biological function studies and clinical research.

Bimetallic sulfide/N-doped carbon composite derived from Prussian blue analogues/cellulose nanofibers film toward enhanced oxygen evolution reaction.

Exploiting effective, stable, and cost-efficient electrocatalysts for the water oxidation reaction is highly desirable for renewable energy conversion techniques. Constructional design and compositional manipulation are widely used approaches to efficaciously boost the electrocatalytic performance. Herein, we designed a NiFe-bimetallic sulfide/N-doped carbon composite via a two-step thermal treatment of Prussian blue analogues/cellulose nanofibers (PBA/CNFs) film. The NiFe-bimetallic sulfide/N-doped carbon composite displayed enhanced OER performance in an alkaline environment, with an overpotential of 282 mV at 10 mA cm-2, a Tafel slope of 59.71 mV dec-1, and good stability, making the composite a candidate electrocatalyst for OER-related energy equipment. The introduction of CNFs in the precursor prevented the aggregation of PBA nanoparticles (NPs), exposed more active sites, and the resulting carbon substrate enhanced the electroconductivity of the composite. Moreover, the synergistic effect of Ni and Fe in the bimetallic sulfide could modulate the configuration of electrons, enrich the catalytically active sites, and augment the electric conductivity, thus ameliorating the OER performance. This study broadens the application of MOF-CNF composites to construct hierarchical structures of metal compounds and provides some thoughts for the development of cost-effective precious-metal-free catalysts for electrocatalysis.

Enhanced piezo-photocatalytic performance in ZnIn2S4/BiFeO3 heterojunction stimulated by solar and mechanical energy for efficient hydrogen evolution.

An emerging approach that employs both light and vibration energy on binary photo-/piezoelectric semiconductor materials for efficient hydrogen (H2) evolution has garnered considerable attention. ZnIn2S4 (ZIS) is recognized as a promising visible-light-activated photocatalyst. However, its effectiveness is constraint by the slow separation dynamics of photoexcited carriers. Density functional theory (DFT) predictions have shown that the integration of piezoelectric BiFeO3 (BFO) is conducive to the reduction of the H2 adsorption free energy (ΔGH*) for the photocatalytic H2 evolution reaction, thereby enhancing the reaction kinetics. Informed by theoretical predictions, piezoelectric BFO polyhedron particles were successfully synthesized and incorporated with ZIS nanoflowers to create a ZIS/BFO heterojunction using an ultrasonic-assisted calcination method. When subjected to simultaneous ultrasonic treatment and visible-light irradiation, the optimal ZIS/BFO piezoelectric enhanced (piezo-enhanced) heterojunction exhibited a piezoelectric photocatalytic (piezo-photocatalytic) H2 evolution rate approximately 6.6 times higher than that of pristine ZIS and about 3.0 times greater than the rate achieved under light-only conditions. Moreover, based on theoretical predictions and experimental results, a plausible mechanism and charge transfer route for the enhancement of piezo-photocatalytic performance were studied by the subsequent piezoelectric force microscopy (PFM) measurements and DFT calculations. The findings of this study strongly confirm that both the internal electric field of the step-scheme (S-Scheme) heterojunction and the alternating piezoelectric field generated by the vibration of BFO can enhance the transportation and separation of electron-hole pairs. This study presents a concept for the multipath utilization of light and vibrational energy to harness renewable energy from the environment.

Efficient wide-spectrum one-dimensional MWO4 (M = Mn, Co, and Cd) photocatalysts: Synthesis, characterization and density functional theory study.

Broadening the absorption region to near-infrared (NIR) light is critical for the photocatalysis due to the larger proportion and stronger penetration of NIR light in solar energy. In the present paper, one-dimensional (1D) MWO4 (M = Mn, Co, and Cd) materials synthesized by electrospinning technique, were studied by combining the density functional theory (DFT) with experiment results, which possessed the enhanced light absorption capability within the range of 200-2000 nm. It was proved that in the ultraviolet-visible (UV-Vis) region, the absorption bands of CoWO4 and MnWO4 samples were attributed to the metal-to-metal charge transfer mechanism, while the absorption of CdWO4 sample may be referable to the ligand-to-metal charge transfer mechanism. In the near-infrared (NIR) region, the absorption of CoWO4 and MnWO4 primarily originated from the d-d orbital transitions of Mn2+ and Co2+. The photocatalytic experimental results showed that the degradation rates for bisphenol A (BPA) over CoWO4, MnWO4, and CdWO4 photocatalysts under UV-Vis/NIR light irradiation for 140 min/12 h were 78.8 %/75.9 %, 23.8 %/21.3 %, 12.8 %/8.7 %, respectively. This research offers the novel insights into the precise construction of tungstate catalytic systems and contributes to the advancement of UV-Vis-NIR full spectrum photocatalytic technology, and lays a foundation for a cleaner and more environmental-friendly future.

Novel Evodiamine-Based Sulfonamide Derivatives as Potent Insecticide Candidates Targeting Insect Ryanodine Receptors.

Pests represent an important impediment to efficient agricultural production and pose a threat to global food security. On the basis of our prior research focused on identifying insecticidal leads targeting insect ryanodine receptors (RyRs), we aimed to identify evodiamine scaffold-based novel insecticides. Thus, a variety of evodiamine-based derivatives were designed, synthesized, and assessed for their insecticidal activity against the larvae of Mythimna separata (M. separata) and Plutella xylostella (P. xylostella). The preliminary bioassay results revealed that more than half of the target compounds exhibited superior activity compared to evodiamine, matrine, and rotenone against M. separata. Among these, compound 21m displayed the most potent larvicidal efficiency, with a remarkable mortality rate of 93.3% at 2.5 mg/L, a substantial improvement over evodiamine (10.0% at 10 mg/L), matrine (10.0% at 200 mg/L), and rotenone (30.0% at 200 mg/L). In the case of P. xylostella, compounds 21m and 21o displayed heightened larvicidal activity, boasting LC50 values of 9.37 × 10-2 and 0.13 mg/L, respectively, surpassing that of evodiamine (13.41 mg/L), matrine (291.78 mg/L), and rotenone (18.39 mg/L). A structure-activity relationship analysis unveiled that evodiamine-based derivatives featuring a cyclopropyl sulfonyl group at the nitrogen atom of the B ring and a fluorine atom in the E ring exhibited more potent larvicidal effects. This finding was substantiated by calcium imaging experiments and molecular docking, which suggested that 21m could target insect RyRs, including resistant mutant RyRs of P. xylostella (G4946E and I4790M), with higher affinity than chlorantraniliprole (CHL). Additionally, cytotoxicity assays highlighted that the potent compounds 21i, 21m, and 21o displayed favorable selectivity and low toxicity toward nontarget organisms. Consequently, compound 21m emerges as a promising candidate for further development as an insecticide targeting insect RyRs.

Plasma exosomal miR-1290 and miR-29c-3p as diagnostic biomarkers for lung cancer.

Background: Enhancing the diagnostic efficacy of early-stage lung cancer is crucial for improving prognosis. The objective of this study was to ascertain dependable exosomal miRNAs as biomarkers for the diagnosis of lung cancer. Methods: Exosomal miRNA candidates were identified through miRNA sequencing and subsequently validated in various case-control sets using real-time quantitative reverse transcription-polymerase chain reaction (RT-qPCR). The correlation between the expression of exosomal miRNAs and the clinicopathological features of lung cancer was investigated. To assess the diagnostic efficacy of exosomal miRNAs for lung cancer, the receiver operating characteristic (ROC) curve analysis was conducted. The optimal cutoff value of exosomal miRNAs was determined in the testing cohort and subsequently confirmed in the validation cohort. Results: The results showed that the expression of exosomal miR-1290 was significantly elevated, while that of miR-29c-3p was significantly decreased in the plasma of lung cancer patients, especially in those with early-stage lung cancer, compared to individuals with benign lung conditions (P < 0.01). Exosomal miR-1290 and miR-29c-3p demonstrated superior diagnostic efficacy compared to conventional tumor biomarkers in distinguishing between lung cancer and benign lung diseases, as evidenced by their respective area under the curve (AUC) values of 0.934 and 0.868. Furthermore, exosomal miR-1290 and miR-29c-3p exhibited higher diagnostic efficiency in early-stage lung cancer than traditional tumor markers, with AUC values of 0.947 and 0.895, respectively. Notably, both exosomal miR-1290 and miR-29c-3p displayed substantial discriminatory capacity in distinguishing between non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC), as indicated by their respective AUC values of 0.810 and 0.842. Conclusions: The findings of this study provided evidence that exosomal miR-1290 and miR-29c-3p hold significant potential as biomarkers for the early detection of lung cancer, as well as for differentiating between NSCLC and SCLC.

Specific recognition and sensitive quantification of mRNA splice variants via one-pot ligation-dependent loop-mediated isothermal amplification.

Specific recognition and sensitive quantification of mRNA alternative splice variants have been a necessity for exploring the regulatory mechanism of RNA splicing and revealing the association between pre-mRNA splicing and transcriptome function, as well as disease diagnosis. However, their wide abundance range and high sequence homology pose enormous challenges for high sensitivity and selectivity quantification of splice variants. Herein, taking advantage of the excellent specificity of ligation and the powerful nucleic acid replication feature of loop-mediated isothermal amplification (LAMP), we developed a one-pot method (termed one-pot ligation-LAMP) for specific recognition and sensitive quantification of mRNA splicing variants based on two splicing junction-specific stem-loop DNA probe ligation and the subsequently initiating LAMP. The one-pot ligation-LAMP can specifically detect as low as 100 aM mRNA splice variants without any nonspecific signals and quantify them with a wide dynamics range spanning at least six orders of magnitude. We have demonstrated that the one-pot ligation-LAMP is a versatile and practical strategy for accurately quantifying different splicing variants in complex biological samples with high sensitivity all in one tube within 90 min, thereby providing an attractive tool for mRNA splice variant-related studies.