Dual-Signal Amplification Strategy Based on Catalytic Hairpin Assembly and APE1-Assisted Amplification for High-Contrast miRNA Imaging in Living Cells.

Early tumor diagnosis is crucial to successful treatment. Earlier studies have shown that microRNA is a biomarker for early tumor diagnosis. The development of highly sensitive miRNA detection methods, especially in living cells, plays an indispensable role for early diagnosis and treatment of tumor. Although the catalytic hairpin assembly (CHA)-based miRNA analysis strategy is commonly used for disease diagnosis, further application of CHA is hindered due to its low amplification efficiency and low tumor recognition contrast. To address these limitations, we propose a dual-signal amplification strategy based on CHA and APE1-assisted amplification, enabling highly sensitive and high-contrast miRNA imaging. The miR-221 was selected as a target model. This dual-signal amplification strategy has exhibited high amplification efficiency, which could analyze miRNA as low as 21 fM. This strategy also exhibited high specificity, which could distinguish target miRNA and nontarget with single-base differences. Moreover, this method showed significant potential for practical application, as it could successfully distinguish the expression difference of miR-221 in the plasma samples of normal people and patients. Most importantly, the expression level of the APE1 enzyme in tumor cells is higher than that in normal cells, allowing this strategy to sensitively and specifically image miRNA within tumor cells. This proposed method has also been successfully used to indicate fluctuations of intracellular miRNA and to distinguish miRNA expression between normal cells and cancer cells with high contrast. We anticipate that this method will provide fresh insights and can be a powerful tool for tumor diagnosis and treatment based on miRNA analysis.

Correlation and Clinical Significance of Changes in Serum Soluble P-selectin, D- dimer and Platelet Levels with the Severity of Mycoplasma Pneumoniae Infection in Children.

Objective: Mycoplasma pneumoniae (MP) infection is a common respiratory illness in children, but the factors associated with its severity remain unclear. Methods: The clinical data of 136 children aged 5 to 12 years with MP infection in our hospital from March 2021 to March 2022 were retrospectively analyzed. According to the severity of the disease, they were divided into a mild group (74 cases) and a severe group (62 cases), and 80 healthy children who underwent physical examination in our hospital during the same period were selected as the control group. The general data, lung function indexes and laboratory examination indexes of the three groups of children were compared. Multivariate Logistic regression was used to analyze the factors affecting the development of severe MP infection in children. Pearson test was used to analyze the correlation between each influencing factor and mild and severe MP infection. The predictive Value of ROC curve analysis for the development of severe MP infection in children. Results: Univariate analysis showed that levels of white blood cell (WBC), neutrophil (Neu), sedimentation rate (ESR), fibrinogen (Fib), interleukin -5 (IL-5), interleukin -6 (IL-6), procalcitonin (PCT), C-reactive protein (CRP), lactate dehydrogenase (LDH), alanine aminotransferase (GPT), soluble P-selectin, and D-dimer were higher in the group with mild and severe MP pneumonia. Conversely, levels of interferon-γ(IFN-γ), serum calcium, serum phosphorus, 25-(OH)D3, and PLT were lower.. In addition, Multivariate analysis showed that the increase of Neu, IL-5, CRP, LDH, GPT, soluble P-selectin, D- dimer and the decrease of PLT were the risk factors for the development of severe MP infection in children (P < .05). Meanwhile, the AUC of soluble P-selectin, D- dimer level, PLT and their combination were 0.796 (95% CI: 0.729~0.860, sensitivity=82.95%, specificity=80.16%), 0.721 (95% CI: 0.648~0.788, sensitivity=76.21%, specificity=73.65%), 0.820 (95% CI: 0.860, sensitivity=88.36%, specificity=96.42%), and 0.872 (95% CI: 0.823 ~ 0.920, sensitivity=96.42%, specificity=93.28%) respectively. Conclusion: The levels of serum soluble P-selectin, D- dimer, and PLT had high predictive Value for the development of MP infection. These findings can help clinicians better understand MP and focus on children with elevated p-selectin, d-dimer, and platelet levels, emphasizing the importance of timely treatment and appropriate interventions to prevent complications.

Nanofluidic Device for Detection of Lysine Methylpeptides and Sensing of Lysine Methylation.

Protein methylation is the smallest possible yet vitally important post-translational modification (PTM). This small and chemically inert addition in proteins makes the analysis of methylation more challenging, thus calling for an efficient tool for the sake of recognition and detection. Herein, we present a nanofluidic electric sensing device based on a functionalized nanochannel that was constructed by introducing monotriazole-containing p-sulfonatocalix[4]arene (TSC) into a single asymmetric polymeric nanochannel via click chemistry. The device can selectively detect lysine methylpeptides with subpicomole sensitivity, distinguish between different lysine methylation states, and monitor the lysine methylation process by methyltransferase at the peptide level in real time. The introduced TSC molecule, with its confined asymmetric configuration, presents the remarkable ability to selectively bind to lysine methylpeptides, which, coupled with the release of the complexed Cu ions, allows the device to transform the molecular-level recognition to the discernible change in ionic current of the nanofluidic electric device, thus enabling detection. This work could serve as a stepping stone to the development of a new methyltransferase assay and the chemical that specifically targets lysine methylation in PTM proteomics.

Endogenous Enzyme-Powered DNA Nanomotor Operating in Living Cells for microRNA Imaging.

Accurate and specific imaging of low-abundance microRNA (miRNA) in living cells is extremely important for disease diagnosis and monitoring of disease progression. DNA nanomotors have shown great potential for imaging molecules of interest in living cells. However, inappropriate driving forces and complex design and operation procedures have hindered their further application. Here, we proposed an endogenous enzyme-powered DNA nanomotor (EEPDN), which employs an endogenous APE1 enzyme as fuel to execute repetitive cycles of motion for miRNA imaging in living cells. The whole motor system is constructed based on gold nanoparticles without other auxiliary additives. Due to the high efficiency of APE1, this EEPDN system has achieved highly sensitive miRNA imaging in living cells within 1.5 h. This strategy was also successfully used to differentiate the expression of specific miRNA between tumor cells and normal cells, demonstrating a high tumor cell selectivity. This strategy can promote the development of novel nanomotors and is expected to be a perfect intracellular molecular imaging tool for biological and medical applications.

Robust Cellulose Nanocrystal-Based Self-Assembled Composite Membranes Doped with Polyvinyl Alcohol and Graphene Oxide for Osmotic Energy Harvesting.

Osmotic energy from the salinity gradients represents a promising energy resource with stable and sustainable characteristics. Nanofluidic membranes can be considered as powerful alternatives to the traditional low-performance ion exchange membrane to achieve high-efficiency osmotic energy harvesting. However, the development of a highly efficient and easily scalable core membrane component from low-cost raw materials remains challenging. Here, a composite membrane based on the self-assembly of cellulose nanocrystals (CNCs) with polyvinyl alcohol (PVA) and graphene oxide (GO) nanoflakes as additives is developed to provide a solution. The introduction of soft PVA polymer significantly improves the mechanical strength and water stability of the composite membrane by forming a nacre-like structure. Benefiting from the abundant negative charges of CNC nanorods and GO nanoflakes and the generated network nanochannels, the composite membrane demonstrates a good cation-selective transport capacity, thus contributing to an optimal osmotic energy conversion of 6.5 W m-2 under a 100-fold salinity gradient and an exemplary stability throughout 25 consecutive days of operation. This work provides an option for the development of nanofluidic membranes that can be easily produced on a large scale from well-resourced and sustainable biomass materials for high-efficiency osmotic energy conversion.

Ultrasensitive assay of O-GlcNAc transferase using capillary electrophoresis-laser induced fluorescence.

O-linked N-acetylglucosamine (O-GlcNAc) transferase (OGT) is directly associated with the level of O-GlcNAc glycosylation of biomolecules and various diseases, and it is expected to be a promising potential new therapeutic target. Here, we develop a robust and sensitive method for OGT assay based on capillary electrophoresis-laser induced fluorescence (CE-LIF) method. AF-488-modified peptide containing serine active group is designed as substrate for OGT-catalyzed reaction, and nonradioactive UDP-GlcNAc is employed as sugar donor to perform O-GlcNAc glycosylation modification. The enzyme activity of OGT is measured by quantitative determination of glycosylated peptide produced by the reaction. Large volume sample stacking technique for sample injection and a unique fluorescence collection system for LIF detection are adopted to greatly enhance the detection sensitivity, thus a low limit of detection down to 0.23 pM for OGT detection is achieved. The method is successfully applied to detect OGT activity in clinical blood samples with satisfactory accuracy. Our study provides a simple, accurate, and sensitive method with great potential application in clinical diagnosis of O-GlcNAc-related diseases.

Microstructure Study of High-Rank Coal in an Alkaline Solution at the Chengzhuang Mine.

To study the adsorption performance of coal bodies after alkaline solution erosion and the microscopic mechanism of alkali erosion on coal bodies, isothermal adsorption experiments at different pH values and with different numbers of soaking days were conducted on high-order coal bodies from the Chengzhuang mine. The results showed that the adsorption capacity of the coal bodies after alkali leaching was improved compared to that of the original coal, all of which was in accordance with the Langmuir equation. The unit adsorption capacity of coal samples increased gradually with an increase in the number of soaking days and solution pH, reaching the maximum at pH 13 and eight soaking days. The adsorption constant a of the coal sample was positively correlated with the pH, and the number of soaking days was a power exponential function; the adsorption constant b increased gradually with an increase in the pH of the solution and increased first and then decreased with an increase in the number of soaking days. The change in the adsorption of coal samples occurs because the alkaline solution reacts with the minerals in the coal as well as the mineral ions, and the resulting complex gels and precipitates block the pore channels of the coal body, which in turn inhibits the adsorption of gases. The presence of Na, Mg, Al, Si, Ca, Fe, and other elemental compounds detected in the generated sediments verified the mechanism of alkaline solution erosion. The changes in the microscopic pore structure of the coal body were quantified by low-temperature liquid nitrogen adsorption experiments. The small and medium pore volumes of the coal samples reached the maximum values at pH 13 and with eight soaking days, which is in agreement with the conclusion of optimal alkali modification.

Australasian Consensus Statement on the Identification, Prevention, and Management of Hormonal Crises in Patients with Neuroendocrine Neoplasms Undergoing Peptide Receptor Radionuclide Therapy.

Hormonal crises are a rare but increasingly recognized phenomenon following peptide receptor radionuclide therapy (PRRT) in patients with neuroendocrine neoplasms (NENs). Due to the paucity of published studies, approaches to the identification, prevention, and management of risk factors are inconsistent between different institutions. This consensus statement aimed to provide guidance for NEN patients undergoing PRRT. Our statement has been created on the basis of clinical demand and concerns regarding the precipitation of hormonal crises. A formal literature review was conducted to identify available studies. A total of 19 Australian and New Zealand experts in the fields of medical oncology, nuclear medicine, anaesthetics, and endocrinology collaborated on this consensus statement. The main focus is on carcinoid crises. Other hormonal crises seen in patients with functional pancreatic NENs are addressed briefly. These recommendations are relevant to PRRT centres internationally and should be tailored to local experience and available resources.

Magnetic functionalized graphene oxide combined with ultra-high performance liquid chromatography for trace detection of succinate dehydrogenase inhibitor fungicides in food.

In this study, an efficient, sensitive, and convenient magnetic solid-phase extraction method combined with ultra-high performance liquid chromatography-tandem mass spectrometry (MSPE-UHPLC-MS/MS) was developed for the simultaneous determination of 19 succinate dehydrogenase inhibitor fungicide residues in six different food matrices The synthesized tetraethylenepentamine magnetic graphene oxide nanocomposite showed the advantages of good dispersibility, large specific surface area (113.93 m2 /g) and large pore volume (0.25 cm3 /g), making it an ideal succinate dehydrogenase inhibitor pretreatment adsorbent. The MSPE-UHPLC-MS/MS method showed linearity in the range of 5.0-800.0 µg/kg, with a correlation coefficient (R2 ) > 0.99, and a limit of quantification of 5 µg/kg. The recovery of succinate dehydrogenase inhibitor fungicides was in the range of 71.2%-119.4%. The MSPE method is simple, rapid, and efficient, making it an ideal alternative to sample pretreatment in the determination of trace succinate dehydrogenase inhibitor fungicides in complex matrices.

Long noncoding RNA lnc-H2AFV-1 promotes cell growth by regulating aberrant m6A RNA modification in head and neck squamous cell carcinoma.

Head and neck squamous cell carcinoma (HNSCC) is the most common malignant tumor in the oral and maxillofacial regions, and long noncoding RNAs (lncRNAs) play crucial roles in the occurrence and progression of HNSCC. The lncRNA lnc-H2AFV-1 was found to be upregulated in HNSCC tissues; however, the function of lnc-H2AFV-1 in regulating HNSCC proliferation and the potential molecular mechanism is unclear. The present study evaluated the expression of lnc-H2AFV-1 in HNSCC tissues using quantitative real-time PCR (qPCR) and associated abundant lnc-H2AFV-1 expression with tumor size. Functionally, lnc-H2AFV-1 significantly promoted the proliferation of HNSCC cells in vitro and in vivo. Quantified N6-methyladenosine (m6A) RNA methylation and dot blot assays revealed that total m6A methylation in HNSCC cells was accompanied by lnc-H2AFV-1 expression. Western blotting showed that the expression of methyltransferase-like (METTL) 3 and METTL14 was consistent with that of lnc-H2AFV-1, whereas the expression of demethylase fat mass and obesity-associated (FTO) was contrary to that of lnc-H2AFV-1. Methylated RNA immunoprecipitation sequencing (MeRIP-seq) and MeRIP-qPCR revealed that lnc-H2AFV-1 overexpression led to the elevated expression and maximal m6A methylation of intraflagellar transport (IFT) 80 in HNSCC. In addition, METTL3/14 knockdown decreased IFT80 expression. Thus, our findings suggested that lnc-H2AFV-1 might be a biomarker that alters m6A modification by regulating the m6A methylases METTL3/14 and FTO and then mediating the downstream target IFT80 to promote HNSCC progression.

Smart Hairpins@MnO2 Nanosystem Enables Target-Triggered Enzyme-Free Exponential Amplification for Ultrasensitive Imaging of Intracellular MicroRNAs in Living Cells.

Sensitive and specific imaging of microRNA (miRNA) in living cells is of great value for disease diagnosis and monitoring. Hybridization chain reaction (HCR) and DNAzyme-based methods have been considered as powerful tools for miRNA detection, with low efficient intracellular delivery and limited amplification efficiency. Herein, we propose a Hairpins@MnO2 nanosystem for intracellular enzyme-free exponential amplification for miRNA imaging. The enzyme-free exponential amplification is based on the synergistic cross-activation between HCR and DNAzymes. The MnO2 nanosheets were employed as the carrier of three kinds of hairpin DNA probes and further provided appropriate Mn2+ as DNAzyme cofactors in the living cell. Upon entering cells and in the presence of highly expressed glutathione (GSH) in tumors, MnO2 is reduced to release Mn2+ and the three kinds of hairpin DNA probes. In the presence of target miRNA, the released hairpin DNA H1 and H2 probes self-assemble via HCR into the wire-shaped active Mn2+-based DNAzymes which further catalyze the cleavage of H3 to generate numerous new triggers to reversely stimulate HCR amplifiers, thus offering tremendously amplified Förster resonance energy transfer readout. The method has a detection limit of 33 fM, which is 2.4 × 104 times lower than that of the traditional HCR system. The developed method also has a high specificity; even miRNAs with a single base difference can be distinguished. Live cell imaging experiments confirmed that this Hairpins@MnO2 nanosystem allows accurate differentiation of miRNA expression of cancer cells and normal cells. The method holds great potential in biological research of nucleic acids.

Circular RNA circMET contributes to tamoxifen resistance of breast cancer cells by targeting miR-204/AHR signaling.

Breast cancer is a prevalent female malignancy and tamoxifen remains the first-line treatment for breast cancer, but tamoxifen resistance is a frequent clinical problem. Circular RNAs (circRNAs) are a bunch of noncoding RNAs with circular structures and play crucial roles in cancer development. Here, we aimed to explore the unreported function of circMET in the modulation of tamoxifen resistance of breast cancer cells. The expression of circMET was upregulated in tamoxifen-resistant breast cancer cells. The depletion of circMET significantly reduced the cell viability and proliferation in tamoxifen-resistant breast cancer cells and the co-treatment of tamoxifen promoted the effect. Mechanically, the luciferase activity of circMET and was repressed by miR-204-5p and AHR 3'UTR in the cells. The expression of miR-204-5p was elevated by circMET knockdown. The expression of AHR was downregulated by miR-204-5p or circMET depletion, while the miR-204-5p inhibitor reversed the effect of circMET depletion in cells. The overexpression of circMET enhanced the cell viability and proliferation of MCF7-Re and T47D-Re cells but miR-204-5p or AHR depletion blocked the phenotype. Clinically, the expression of circMET and AHR has enhanced in tamoxifen-resistant samples compared with tamoxifen sensitive samples, but miR-204-5p presented a revered expression in the samples. Consequently, we concluded that circular RNA circMET contributed to tamoxifen resistance of breast cancer cells by targeting miR-204-5p/AHR signaling.

GmRAV confers ecological adaptation through photoperiod control of flowering time and maturity in soybean.

Photoperiod strictly controls vegetative and reproductive growth stages in soybean (Glycine max). A soybean GmRAV (Related to ABI3/VP1) transcription factor containing both AP2 and B3 domains was shown to be a key component of this process. We identified six polymorphisms in the GmRAV promoter that showed significant association with flowering time and maturity of soybean in one or multiple environments. Soybean varieties with minor polymorphism exhibited a longer growth period contributing to soybean adaptation to lower latitudes. The cis-acting element GT1CONSENSUS motif of the GmRAV promoter controlled the growth period, and the major allele in this motif shortened duration of late reproductive stages by reducing GmRAV expression levels. Three GmRAV-overexpressing (GmRAV-ox) transgenic lines displayed later flowering time and maturity, shorter height and fewer numbers of leaves compared with control plants, whereas transgenic inhibition of GmRAV expression resulted in earlier flowering time and maturity and increased plant height. Combining DNA affinity purification sequencing and RNA sequencing analyses revealed 154 putative target genes directly bound and transcriptionally regulated by GmRAV. Two GmRAV binding motifs [C(A/G)AACAA(G/T)A(C/T)A(G/T)] and [C(T/A)A(C)C(T/G)CTG] were identified, and acting downstream of E3E4, GmRAV repressed GmFT5a transcriptional activity through binding a CAACA motif, thereby delaying soybean growth and extending both vegetative and reproductive phases.

Identification and analysis of the predictive urinary exosomal miR-195-5p in lupus nephritis based on renal miRNA-mRNA co-expression network.

OBJECTIVE: Lupus nephritis (LN) is the main complication of systemic lupus erythematosus (SLE), causing huge financial burden and poor quality of life. Due to the low compliance of renal biopsy, we aim to find a non-invasive biomarker of LN to optimize its predictive, preventive, and personalized medical service or management. METHOD: Herein, we provided a bioinformatic screen combined clinical validation strategy for rapidly mining exosomal miRNAs for LN diagnosis and management. We screened out differentially expressed miRNAs (DEMs) and differentially expressed mRNAs (DEGs) in LN database and performed a miRNA-mRNA integrated analysis to select out reliable changed miRNAs in LN tissues by using R and Cytoscape. Urinary exosomes were collected by ultracentrifugation and analyzed by nano-tracking analysis and western blotting. Detection of aquaporin-2 showed the tubular source of urinary exosomes. Urinary exosomal miRNAs were detected by RT-qPCR and the target of miR-195-5p was verified by using bioinformatic, dual-luciferase, and western blotting. RESULT: 15 miRNAs and their 60 target mRNAs were contained in miRNA-mRNA integrated map. Bioinformatic analysis showed these miRNAs were involved in various cellular biological process. Exosomal miR-195-5p, miR-25-3p, miR-429, and miR-218-5p were verified in a small clinical group (n = 47). Urinary exosomal miR-195-5p, miR-25-3p, and miR-429 were downregulated in patients and miR-195-5p could recognize LN patients from SLE with good sensitivity and specificity, showing good potential in LN disease monitoring and diagnosis. CONCLUSION: We analyzed and obtained a series of differential miRNAs in LN kidney tissues and suggested that urinary exosomal miR-195-5p could serve as a novel biomarker in LN. Further, miR-195-5p-CXCL10 axis could be a therapeutic target of LN.

Modification and validation of the simultaneous detection of 38 pesticide residues method by ultra-high-performance liquid chromatography/tandem mass spectrometry with QuEChERS extraction in different oil crops and products.

RATIONALE: Oil crops and products are important food materials in daily life. Pesticide residues in food could directly and indirectly endanger human health. However, the method for detecting multiple pesticides simultaneously is limited. In this study, an easy and efficient method for the simultaneous determination of 38 pesticides in oil crops and products was established and validated. METHODS: All samples were treated with a modified QuEChERS procedure followed by ultra-high-performance liquid chromatography/tandem mass spectrometry (UHPLC/MS/MS) analysis. Mass spectrometry was performed in positive and negative ion electrospray ionization mode. The mobile phase consisted of 0.1% formic acid in water and 0.1% formic acid in acetonitrile. The column used was a Poroshell 120 EC-C18 and the flow rate was 0.3 mL/min. RESULTS: The method was validated so that the calibration curves for all pesticides had good linearity in the concentration range of 10-1000 µg/L with correlation coefficients (R2 ) above 0.9945. The recovery rates were between 70.1 and 120.0%, with relative standard deviations (RSDs) (n = 6) ≤20.0%. The limits of quantification (LOQs) ranged from 0.5 to 10 µg/kg, limits of detection (LODs) ranged from 2.0 to 30 µg/kg, and the matrix effect (ME) ranged from -18.77 to 19.33%, respectively. CONCLUSIONS: The method proved to be accurate, sensitive, and stable. It can be used for rapid screening and confirmation of 38 pesticide residues in oil crops and products which takes 10 min for sample extraction and clean-up with less requirement of solvents. This study provides a technical basis for regulatory analysis and quality supervision of foods.

A photonic crystal fiber-based fluorescence sensor for simultaneous and sensitive detection of lactic acid enantiomers.

A photonic crystal fiber (PCF)-based fluorescence sensor is developed for rapid and sensitive detection of lactic acid (LA) enantiomers in serum samples. The sensor is fabricated by chemical binding dual enzymes on the inner surface of the PCF with numerous pore structures and a large specific surface area, which is suitable to be utilized as an enzymatic reaction carrier. To achieve simultaneous detection of L-LA and D-LA, the PCF with an aldehyde-activated surface is cut into two separate pieces, one of which is coated with L-LDH/GPT enzymes and the other with D-LDH/GPT enzymes. By being connected and carefully aligned to each other by a suitable sleeve tube connector, the responses of both L-LA and D-LA sensors are determined by laser-induced flourescence (LIF) detection. With the aid of enzyme-linked catalytic reactions, the proposed PCF sensor can greatly improve the sensitivity and analysis speed for the detection of LA enantiomers. The PCF sensor exhibits a low limit of detection of 9.5 µM and 0.8 µM, and a wide linear range of 25-2000 µM and 2-400 µM for L-LA and D-LA, respectively. The sensor has been successfully applied to accurate determination of LA enantiomers in human serum with satisfactory reproducibility and stability. It is indicated that the present PCF sensors would be used as an attractive analytical platform for quantitative detection of trace-amount LA enantiomers in real biological samples, and thus would play a role in disease diagnosis and clinical monitoring in point-of-care testing.

Role of adjuvant chemotherapy after concurrent chemoradiotherapy in patients with locally advanced cervical cancer.

Aims: With the use of concurrent chemoradiotherapy (CCRT) for locally advanced cervical cancer (LACC), survival outcomes are still not optimal. This study was designed to evaluate the efficacy and safety of adjuvant chemotherapy (ACT) for patients with LACC after treatment with CCRT. Methods: Patients diagnosed with stage IIA-IIIB LACC, were retrospectively analyzed. All patients received cisplatin-based CCRT and were divided into two groups: ACT after CCRT (CCRT + ACT group) and observation after CCRT (CCRT group). Overall survival (OS), progression-free survival (PFS) and adverse effects were recorded and analyzed. Results: In total, 375 patients were included; 262 patients accepted ACT after CCRT while the remaining 113 patients chose observation. With a median follow-up of 40 months, no significant differences were found in the OS rates for patients in the CCRT + ACT and CCRT groups at 1 year, 3 years and the end of follow-up. There was also no significant discrepancy in PFS between groups. Subgroup analysis showed the International Federation of Gynecology and Obstetrics (FIGO) stage and age had negligible influence on both OS and PFS. Acute adverse events (grades 3-4) happened more frequently in CCRT + ACT group than in the CCRT group, with significant differences in neutropenia, anemia and creatinine. Conclusion: ACT after CCRT did not show benefit in survival but did induce some adverse effects. Therefore, this regimen is not recommended unless further large-scale randomized controlled trials are executed.

A novel nomogram to predict mortality in patients with stroke: a survival analysis based on the MIMIC-III clinical database.

BACKGROUND: Stroke is a disease characterized by sudden cerebral ischemia and is the second leading cause of death worldwide. We aimed to develop and validate a nomogram model to predict mortality in intensive care unit patients with stroke. METHODS: All data involved in this study were extracted from the Medical Information Mart for Intensive Care III database (MIMIC-III). The data were analyzed using multivariate Cox regression, and the performance of the novel nomogram, which assessed the patient's overall survival at 30, 180, and 360 days after stroke, was evaluated using Harrell's concordance index (C-index) and the area under the receiver operating characteristic curve. A calibration curve and decision curve were introduced to test the clinical value and effectiveness of our prediction model. RESULTS: A total of 767 patients with stroke were randomly divided into derivation (n = 536) and validation (n = 231) cohorts at a 7:3 ratio. Multivariate Cox regression showed that 12 independent predictors, including age, weight, ventilation, cardiac arrhythmia, metastatic cancer, explicit sepsis, Oxford Acute Severity of Illness Score or OASIS score, diastolic blood pressure, bicarbonate, chloride, red blood cell and white blood cell counts, played a significant role in the survival of individuals with stroke. The nomogram model was validated based on the C-indices, calibration plots, and decision curve analysis results. CONCLUSIONS: The plotted nomogram accurately predicted stroke outcomes and, thus may contribute to clinical decision-making and treatment as well as consultation services for patients.

Discerning Tyrosine Phosphorylation from Multiple Phosphorylations Using a Nanofluidic Logic Platform.

Discerning tyrosine phosphorylation (pTyr) catalyzed by Tyr kinase is central to the revelation of oncogenic mechanisms and the development of targeted anticancer drugs. Despite some techniques, this goal remains challenging, especially when faced with the interference of multiple phosphorylation events, including serine (pSer) and threonine phosphorylation (pThr). We describe here a functional polymer-modified artificial ion nanochannel, which enables the sensitive and selective recognition of phosphotyrosine (pY) peptide by the distinct ionic current change. Such a recognition effect allows for the nanochannel to work in a complex protein digest condition. Further, the implementation of nanofluidic logic functions with the addition of Ca2+ dramatically improves the selectivity of the nanochannel to pY peptide and thus can discern pTyr by the Tyr kinase from pSer by the Ser/Thr kinase through simultaneously monitoring multisite phosphorylation at the same or different peptide substrates in one-pot. This logic sensing platform displays the potential in differentiating Tyr kinase and Ser/Thr kinase and assessing multi-kinase activities in multi-targeted drug design.

Deep Learning With 3D Convolutional Neural Network for Noninvasive Prediction of Microvascular Invasion in Hepatocellular Carcinoma.

BACKGROUND: Microvascular invasion (MVI) is a critical prognostic factor of hepatocellular carcinoma (HCC). However, it could only be obtained by postoperative histological examination. PURPOSE: To develop an end-to-end deep-learning models based on MRI images for preoperative prediction of MVI in HCC patients who underwent surgical resection. STUDY TYPE: Retrospective. POPULATION: Two hundred and thirty-seven patients with histologically confirmed HCC. FIELD STRENGTH: 1.5 T and 3.0 T. SEQUENCE: Axial T2 -weighted (T2 -w) with turbo spin echo sequence, T2 -Spectral Presaturation with Inversion Recovery (T2 -SPIR), and dynamic contrast-enhanced (DCE) imaging with fat suppressed enhanced T1 high-resolution isotropic volume examination. ASSESSMENT: The patients were randomly divided into training (N = 158) and validation (N = 79) sets. Data augmentation by random rotation was performed on the training set and the sample size increased to 1940 for each MR sequence. A three-dimensional convolutional neural network (3D CNN) was used to develop four deep-learning models, including three single-layer models based on single-sequence, and fusion model combining three sequences. MVI status was obtained from the postoperative pathology reports. STATISTICAL TESTS: The dice similarity coefficient (DSC) and Hausdorff distance (HD) were applied to assess the similarity and reproducibility between the manual segmentations of tumor from two radiologists. Receiver operating characteristic curve analysis was used to evaluate model performance. MVI was identified in 92 (38.8%) patients. Good reproducibility with interobserver DSCs of 0.90, 0.89, and 0.89 and HDs of 4.09, 3.67, and 3.60 was observed for PVP, T2 WI, and T2 -SPIR, respectively. The fusion model achieved an area under the curve (AUC) of 0.81, sensitivity of 69%, and specificity of 79% in the training set and 0.72, sensitivity of 55%, and specificity of 81% in the validation set. DATA CONCLUSION: 3D CNN model may serve as a noninvasive tool to predict MVI in HCC, whereas its accuracy needs to be enhanced with larger cohort. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 2.