An electrochemical aptasensor for zearalenone detection based on the Co3O4/MoS2/Au nanocomposites and hybrid chain reaction.

An electrochemical aptasensor was used for the fast and sensitive detection of zearalenone (ZEN) based on the combination of Co3O4/MoS2/Au nanocomposites and the hybrid chain reaction (HCR). The glassy carbon electrode was coated with Co3O4/MoS2/Au nanomaterials to immobilize the ZEN-cDNA that had been bound with ZEN-Apt by the principle of base complementary pairing. In the absence of ZEN, the HCR could not be triggered because the ZEN-cDNA could not be exposed. After ZEN was added to the surface of the electrode, a complex structure was produced on the modified electrode by the combination of ZEN and ZEN-Apt. Therefore, the ZEN-cDNA can raise the HCR to produce the long-strand dsDNA structure. Due to the formation of dsDNA, the methylene blue (MB) could be inserted into the superstructure of branched DNA and the peak currents of the MB redox signal dramatically increased. So the concentration of ZEN could be detected by the change of signal intensity. Under optimized conditions, the developed electrochemical biosensing strategy showed an outstanding linear detection range of 1.0×10-10 mol/L to 1.0×10-6 mol/L, a low detection limit (LOD) of 8.5×10-11 mol/L with desirable selectivity and stability. Therefore, the fabricated platform possessed a great application potential in fields of food safety, medical detection, and drug analysis.

Sound Field Reconstruction Using Prolate Spheroidal Wave Functions and Sparse Regularization.

Near-field acoustic holography (NAH) based on compressing sensing (CS) theory enables accurate reconstruction of sound fields using a limited number of sampling points. However, the successful implementation of this technique depends on two crucial factors: (1) the appropriate selection or construction of the spatial basis and (2) an effective sparse regularization process. To enhance reconstruction performance for elongated sound sources, this paper proposes a novel sound field reconstruction method that combines prolate spheroidal wave functions (PSWFs) with the orthogonal matching pursuit (OMP) algorithm. In this method, PSWFs serve as a sparse spatial basis for representing the radiated sound field. The sparse coefficients are determined by the OMP algorithm in a linear subspace composed of basic functions that best match the residual error. The OMP algorithm effectively identifies significant components before potentially selecting incorrect ones by setting an appropriate stopping rule. Numerical simulations are conducted using a line-array source model. The results show that the proposed method can accurately reconstruct the sound pressures of the elongated source model using a relatively small number of samplings. In addition, the proposed method exhibits robustness across a wide frequency range, diverse array configurations and various sampling numbers. The experimental results further validate the feasibility and reliability of the proposed method.

The associations between intestinal bacteria of Eospalax cansus and soil bacteria of its habitat.

BACKGROUND: Intestinal bacteria of mammal can be influenced by many factors, environmental bacteria is an important factor. However, there are few studies on the interactions between environmental bacteria and intestinal bacteria in wild mammals. To explore the associations between the intestinal bacteriome and the related environmental bacteriome, the intestinal bacterial communities of Eospalax cansus at three different sites and the bacterial communities of the surrounding soil (outside and inside the cave) at each site were investigated by 16S rRNA sequencing. RESULTS: The composition and structure between zokor intestinal bacteria and related soil bacteria were distinct, and the soil of zokor habitat harbored significantly higher diversity than that of zokor intestinal bacteria. We have found that host factors may be more important than environmental factors in shaping intestinal bacteriome. In addition, it was found that the relative abundances of shared OTUs between zokors and related soil were significantly negatively related. These shared OTUs were present in the soil at relatively low abundance. However, these shared OTUs between zokors and soil were affiliated with diverse bacterial taxa, and they were related to the degradation of complex carbohydrates. CONCLUSIONS: These results suggested that the zokor gut may mainly select for low-abundance but diverse soil bacteria, which may be a host- specific choice for zokor to meet the needs of its phytophagous dietary.

Functional differentiation related to decomposing complex carbohydrates of intestinal microbes between two wild zokor species based on 16SrRNA sequences.

BACKGROUND: The intestinal microbes in mammals play a key role in host metabolism and adaptation. As a subterranean rodent, zokor digs tunnels for foraging and mating. These digging activities of zokors increase the energy expenditure relative to their aboveground counterparts. However, relatively little is known regarding intestinal microbes of zokor and how they make full use of limited food resources underground for high energy requirements. RESULTS: Eospalax cansus and Eospalax rothschildi had distinct intestinal microbes. Although the composition of intestinal microbes is similar in two species, the proportion of bacterium are distinctly different between them. At phylum level, 11 phyla were shared between two species. Firmicutes and Bacteroidota were two dominant microbes in both of two species, while Eospalax cansus have a significantly high proportion of Firmicutes/Bacteroidota than that of Eospalax rothschildi. At genus level, norank_f_Muribaculaceae were dominant microbes in both of two zokor species. The relative abundance of 12 genera were significantly different between two species. Some bacterium including unclassified_f__Lachnospiraceae, Lachnospiraceae_NK4A136_group, Ruminococcus and Eubacterium_siraeum_group associated with cellulose degradation were significantly enriched in Eospalax cansus. Although alpha diversity was with no significant differences between Eospalax cansus and Eospalax rothschildi, the intestinal microbes between them are significant distinct in PCoA analysis. We have found that trapping location affected the alpha diversity values, while sex and body measurements had no effect on alpha diversity values. PICRUSt metagenome predictions revealed significant enrichment of microbial genes involved in carbohydrate metabolism in Eospalax cansus rather than Eospalax rothschildi. CONCLUSIONS: Our results demonstrate that Eospalax cansus harbor a stronger ability of fermentation for dietary plants than Eospalax rothschildi. The stronger ability of fermentation and degradation of cellulose of intestinal microbes of Eospalax cansus may be a long-time adaptation to limited food resources underground.

Inhibitory effects of tanshinones towards the catalytic activity of UDP-glucuronosyltransferases (UGTs).

CONTENTS: Danshen is a popular herb employed to treat cardiovascular and cerebrovascular diseases worldwide. Danshen-drug interaction has not been well studied. OBJECTIVE: The inhibitory effects of four major tanshinones (tanshinone I, tanshinone IIA, cryptotanshinone, and dihydrotanshinone I) on UDP-glucuronosyltransferases (UGTs) isoforms were determined to better understand the mechanism of danshen-prescription drugs interaction. MATERIALS AND METHODS: In vitro recombinant UGTs-catalyzed 4-methylumbelliferone (4-MU) glucuronidation reaction was employed. Tanshinones (100 µM) was used to perform the initial screening of inhibition capability. High-performance liquid chromatography (HPLC) was used to separate 4-MU and its glucuronide. In vitro-in vivo extrapolation (IV-IVE) was employed to predict in vivo inhibition situation. RESULTS: Cryptotanshinone inhibited UGT1A7 and UGT1A9 with IC50 values of 1.91 ± 0.27 and 0.27 ± 0.03 µM, respectively. Dihydrotanshinone I inhibited UGT1A9-catalyzed 4-MU glucuronidation reaction with the IC50 value of 0.72 ± 0.04 µM. The inhibition of cryptotanshinone towards UGT1A7 and UGT1A9 was best fit to competitive inhibition type, and UGT1A9 was non-competitively inhibited by dihydrotanshinone I. Using in vitro inhibition kinetic parameters (Ki) and in vivo maximum plasma concentration (Cmax) of cryptotanshinone and dihydrotanshinone I, the change of area-under-the-concentration-time curve (AUC) was predicted to be 0.4-4.2%, 3.7-56.3%, and 0.6-6.4% induced by cryptotanshinone and dihydrotanshinone inhibition towards UGT1A7 and UGT1A9, respectively. DISCUSSION AND CONCLUSION: The inhibitory effects of tanshinones towards important UGT isoforms were evaluated in the present study, which provide helpful information for exploring the mechanism of danshen-clinical drugs interaction.

Distinguishing Intracerebral Hemorrhage from Acute Cerebral Infarction through Metabolomics.

BACKGROUND: Acute cerebral infarction (ACI) and intracerebral hemorrhage (ICH) are potentially lethal cerebrovascular diseases that seriously impact public health. ACI and ICH share several common clinical manifestations but have totally divergent therapeutic strategies. A poor diagnosis can affect stroke treatment. OBJECTIVE: To screen for biomarkers to differentiate ICH from ACI, we enrolled 129 ACI and 128 ICH patients and 65 healthy individuals as controls. METHODS: Patients with stroke were diagnosed by computed tomography/magnetic resonance imaging, and their blood samples were obtained by fingertip puncture within 2-12 h after stroke initiation. We compared changes in metabolites between ACI and ICH using dried blood spot-based direct infusion mass spectrometry technology for differentiating ICH from ACI. RESULTS: Through multivariate statistical approaches, 11 biomarkers including 3-hydroxylbutyrylcarnitine, glutarylcarnitine (C5DC), myristoylcarnitine, 3-hydroxypalmitoylcarnitine, tyrosine/citrulline (Cit), valine/phenylalanine, C5DC/3-hydroxyisovalerylcarnitine, C5DC/palmitoylcarnitine, hydroxystearoylcarnitine, ratio of sum of C0, C2, C3, C16, and C18:1 to Cit, and propionylcarnitine/methionine were screened. An artificial neural network model was constructed based on these parameters. A training set was evaluated by cross-validation method. The accuracy of this model was checked by an external test set showing a sensitivity of 0.8400 (95% confidence interval [CI], 0.7394-0.9406) and specificity of 0.7692 (95% CI, 0.6536-0.8848). CONCLUSION: This study confirmed that metabolomic analysis is a promising tool for rapid and timely stroke differentiation and prediction based on differential metabolites.

[Clinical analysis of microsurgical treatment of giant intracranial arteriovenous malformations].

OBJECTIVE: To explore the clinical features and microsurgical treatment strategies of giant intracranial arteriovenous malformations (AVM). METHODS: A total of 15 cases of giant intracranial AVM treated with microsurgery were analyzed retrospectively. According to the Spetzler-Martin grade, there were 4 cases of grade Ⅳ, 11 cases of grade Ⅴ. Pre-operative endovascular embolizations were carried out in 3 AVMs. RESULTS: All the included patients were confirmed as giant intracranial AVM by magnetic resonance angiography (MRA), digital subtraction angiography (DSA), 3-dimensional CT angiography (3D-CTA) before surgery. All the resected tissues were sent for pathological examination, and the diagnoses were confirmed as AVM. The average operation time of the 15 patients was 10.3 ±6.9 hours. After 1-3 months, all the patients were rechecked by DSA, the large vascular malformations in 12 cases were completely resected, 3 cases had a small amount of residual further treated with gamma knife treatment. Magnetic resonance imaging (MRI) and MRA examination indicated that the residual AVM was occluded after 12 months. Patients were followed up at 6, 12 and 24 months after operation, and assessed by Glasgow outcome scale (GOS) score: 13 cases good, 1 cases mild disability, 1 cases severe disability; the good rate was 86.6%, with no dead case. CONCLUSION: Sufficiently preoperative preparation, appropriate operative methods and skills are necessary to treat giant intracranial arteriovenous malformation.

Intracranial mesenchymal tumor with multiple extracranial metastases: A case report and literature review.

This study presents a rare case of an older woman with an intracranial mesenchymal tumor in the right frontal and parietal lobes. Despite prompt surgical intervention, her condition rapidly deteriorated because of tumor dissemination, leading to her demise. We highlight the tumor's marked invasiveness and heterogeneity, coupled with a propensity for distant systemic metastasis, which negatively impacted the patient's prognosis. This particular clinical behavior had not been previously reported, making this a novel observation. Thus, through a comprehensive review of relevant literature, we aim to provide valuable insights for further understanding, diagnosing, and treating such tumors.

Risk Assessment Model System for Aquatic Animal Introduction Based on Analytic Hierarchy Process (AHP).

The spread of invasive species (IS) has the potential to upset ecosystem balances. In extreme cases, this can hinder economical utilization of both aquatic (fisheries) and terrestrial (agricultural) systems. As a result, many countries regard risk assessment of IS as an important process for solving the problem of biological invasion. Yet, some IS are purposefully introduced for what is seen as their potential economic benefits. Thus, conducting IS risk assessments and then formulating policies based on scientific information will allow protocols to be developed that can reduce problems associated with IS incursions, whether occurring purposefully or not. However, the risk assessment methods currently adopted by most countries use qualitative or semiquantitative methodologies. Currently, there is a mismatch between qualitative and quantitative assessments. Moreover, most assessment systems are for terrestrial animals. What is needed is an assessment system for aquatic animals; however, those currently available are relatively rudimentary. To fill this gap, we used the analytic hierarchy process (AHP) to build a risk assessment model system for aquatic IS. Our AHP has four primary indexes, twelve secondary indexes, and sixty tertiary indexes. We used this AHP to conduct quantitative risk assessments on five aquatic animals that are typically introduced in China, which have distinct biological characteristics, specific introduction purposes, and can represent different types of aquatic animals. The assessment results show that the risk grade for Pterygoplichthys pardalis is high; the risk grade for Macrobrachium rosenbergii, Crassostrea gigas, and Trachemys scripta elegans is medium; and the grade risk for Ambystoma mexicanum is low. Risk assessment of the introduction of aquatic animals using our AHP is effective, and it provides support for the introduction and healthy breeding of aquatic animals. Thus, the AHP model can provide a basis for decision-making risk management concerning the introduction of species.

Safety assessment of trucks based on GPS and in-vehicle monitoring data.

Increasingly, drivers are choosing to buy usage-based automobile insurance (UBI). Manage-how-you-drive (MHYD) insurance, a new type of UBI, incorporates active safety management to monitor driver behavior and issue warnings as needed. While researchers have introduced telematics data into automobile insurance pricing, the specific effect of in-vehicle active safety management on driver risk assessment has been neglected, especially for truck drivers, whose crashes have more serious consequences. This study uses telematics and in-vehicle monitoring features to examine the key factors underlying large commercial truck crashes, and quantifies the effect of these factors on crash risk. Data from 2,185 trucks in Shanghai, China, were collected for a total of 105,786 trips and 465,555 in-vehicle warnings to investigate three types of factors affecting risk: travel characteristics, driving behavior, and in-vehicle warnings. A zero-inflated Poisson (ZIP) regression model was built, and a ZIP model without the warning variables as well as a basic Poisson model with warnings were considered for comparison. It was found that the ZIP model considering in-vehicle warning information performed significantly better than the other models. The standardized regression coefficient method was used to identify the most important variables. In-vehicle yawn and smoking warnings had significantly more association with the number of crashes than did the travel characteristics and driving behavior variables, though freeway distance traveled, average freeway speed, percentage of trips on sunny days, and percentage of trips at night also correlated significantly with crash risk. These results can provide a reference for UBI insurance professionals considering in-vehicle active safety management, as well as support freight companies in drafting appropriate working regulations.

Effect of daily car-following behaviors on urban roadway rear-end crashes and near-crashes: A naturalistic driving study.

The rear-end crash is one of the most common types of crashes, and key risk factors have been broadly identified in the car-following behaviors preceding a crash. However, the relationships between rear-end crash risk and daily car-following behaviors, or habits, have not been well examined. This study aims to identify the daily car-following behaviors on urban surface roads and urban expressways that have the most influence on rear-end crashes and near-crashes (CNC). Two months of naturalistic driving study data were used to investigate the daily car-following behavior of 54 drivers. A paired t-test and a Wilcoxon matched-pairs signed rank test were conducted to find the differences in behaviors on the two road types, and basic Poisson regression and Poisson hurdle regression models were used to explore significant risk factors. Results revealed that (1) drivers' longitudinal vehicle control, time control, and emergency behaviors are significantly different on urban surface roads and urban expressways; (2) for surface roads, three key influencing factors were ranked, in descending order, as the standard deviation of relative speed, percentage of time gap less than 1 s, and maximum acceleration; (3) for expressways, four key factors were ranked: minimum time gap, maximum deceleration, percentage of TTC less than 5 s, and the percentage of large positive jerk. The knowledge achieved on risky daily driving behaviors can be applied to training drivers to improve safe practices, assist insurance companies in creating usage-based insurance strategies, and support driver assistant systems design.

DNA metabarcoding uncovers the diet of subterranean rodents in China.

OBJECTIVE: A type of rodent called a zokor causes great harm to agriculture and forestry production due to its large and sophisticated diet. As this rodent lives subterrane for most of its life, researchers know little about its dietary habits. Further understanding of its diet is important for developing green and sustainable control strategies for the zokor. METHODS: Chloroplast trnL gene and internal transcription spacer 1 primers were selected for high-throughput sequencing of stomach contents of captured zokor by DNA metabarcoding. RESULTS: A total of 25 zokors were selected, the food list of 32 families, 80 genera, and 154 species was obtained. At the family level, it was found that zokors mainly fed on Asteraceae, Poaceae, Rosaceae, Pinaceae, Brassicaceae, and Apiaceae. At the genus level, zokors mainly fed on Echinops, Littledalea, Artemisia, Picea, Cirsium, and Elymus. The diet alpha diversity of Eospalax cansus was slightly higher than that of Eospalax cansus (P>0.05). The zokor's diet is highly phconsistent with the resources of its habitat. Most food choices tend to be the same between the two zokors. They fed primarily on Calamagrostis, Cirsium, Echinops, Medicago, Sanguisorba, and Taraxacum. Zokors mainly fed on the roots of perennial herbs, which are important source of energy. CONCLUSION: High-throughput sequencing-based DNA metabarcoding technology has effectively revealed the diet of zokors and indicated that zokors are food generalists.

Effects of progesterone on the growth regulation in classical progesterone receptor-negative malignant melanoma cells.

This study investigated the growth-regulating effects of progesterone (Prog) on nPR-negative malignant melanoma cells and the possible mechanisms. A375 and A875 cells were cultured and treated with Prog of different concentrations. For signal transduction pathway studies, the cells were pretreated with Prog receptor antagonist (RU486, 1 x 10(-7) mol/L) or MAPK inhibitor (U0126, 5 x 10(-6) mol/L) for 1 h and then co-incubated with prog (10(-9) mol/L) for another 24 h. Indirect immunofluorescence assay, MTT, flow cytometry and Western blotting were used for assessing the nPR expression, cell growth, cell apoptosis and ERK1/2 Phosphorylation, respectively. Our results showed that lower progesterone concentration promoted the proliferation of both A375 and A875 cells, but this growth-stimulatory effect decreased at progesterone concentration of 1 x 10(-7) mol/L or higher. The response could be abolished by MAPK inhibitor U0126, but could not be blocked by progesterone antagonist RU486. Flow cytometry exhibited that high concentration ([Symbol: see text]1 x 10(-7) mol/L) progesterone increased the apoptosis of the two cells in a dose-dependent manner. The level of ERK1/2 phosphorylation was increased by a lower progesterone concentration, but reduced by a higher concentration (1 x 10(-6) mol/L). These results suggest progesterone exerts growth-regulating effects on nPR-negative tumor cells through a non-genomic mechanism.

Up-regulation of human leukocyte antigen G expression in primary cutaneous malignant melanoma associated with host-vs-tumor immune response.

Human leukocyte antigen G (HLA-G) is one of the molecules implicated in immunotolerance. To investigate the role of HLA-G in primary cutaneous malignant melanoma (CMM), a series of 47 skin melanocytic lesions were immunohistochemically evaluated. The correlation between HLA-G expression and CMM clinicohistopathological data and Bcl-2 expression was also analyzed. HLA-G expression was detected in a variety of cell types. No significant difference in HLA-G expression was observed between malignant and non-malignant melanocytic lesions. HLA-G expression was significantly correlated with the inflammatory infiltration and Bcl-2 expression, whereas no significant correlation with ulceration, tumor thickness, clinical stage, histopathological subtypes were observed. HLA-G expression may be the result of host immune reaction in tumor microenvironment rather than a malignant feature of CMM.

Investigating factors influencing drivers' speed selection behavior under reduced visibility conditions.

OBJECTIVE: Driving speed is a major concern for driving safety under reduced visibility conditions. Many factors affect speed selection in low visibility, but few studies have been conducted examining drivers' characteristics, particularly in China. The present study aimed to investigate the correlation between drivers' demographic information, driving ability, and speed choice in low-visibility conditions using a sample of Chinese drivers. METHODS: A self-designed driving ability scale was used to assess driving ability in reduced visibility conditions. The reliability and validity of 306 gathered questionnaires were examined in this article, and a structural equation model (SEM) was built to explore the predictors of drivers' speed selection behavior under reduced visibility conditions and to measure the relationships between various factors. RESULTS: Age and driving experience have no direct relationship to speed selection behavior in reduced visibility, but the frequency of using expressways and annual mileage are significantly related to the speed on roads that have a speed restriction of 80 or 120 km/h. Under reduced visibility conditions, driving ability has a significant effect on speed selection behavior, and driving skill (DS) is the most influential on speed selection behavior on roads with a speed limit of 120 km/h; otherwise, the effect of risk perception (RP) does not differ by speed choice on 3 roads with different speed limits. Driving speed in good weather also has a positive influence on speed selection behavior in low visibility. CONCLUSION: Driving ability is directly associated with speed selection in reduced visibility conditions, and some demographic data indirectly influence speed selection. This study provides useful recommendations for drivers' training programs to reduce casualties from accidents in low-visibility conditions.

The influence of cell morphology on microfluidic single cell analysis.

Microfluidics has been widely used in single cell analysis. Current protocols allow either spread or round cells to be analyzed. However, the contribution of cell morphology to single cell analysis has not been noted. In this study, four proteins (EGFR, PTEN, pAKT, and pS6) in the EGFR signaling pathway are measured simultaneously using microfluidic image cytometry (MIC) in glioblastoma cells U87. The results show that the MIC technology can reveal different subsets of cells corresponding to the four protein expression levels no matter whether they are round or spread at the time of the measurements. However, sharper distinction is obtained from round cells, which implies that cellular heterogeneity can be better resolved with round cells during in situ protein quantification by imaging cytometry. This study calls attention to the role of cell morphology in single cell analysis. Future studies should examine whether differences in data interpretation resulting from cell morphology could reveal altered biological meanings.

[Application of pyroelectric infrared sensor to radio control alarm system].

A radio control alarm system was developed, which is composed of a pyroelectric infrared detecting module, a radio receiving/transmitting module, a digital encoding/decoding IC, and a voice recoding/playing module. When somebody enters the surveillance area, the infrared sensor will receive and transform the radiant energy into electric signal, which is amplified by internal circuits, and then generates a control signal to start transmitting system. As the encoded pulse is modulated by the transmitting module, a radio control signal will be spread to space; When received, the signal will be demodulated, amplified, shaped and decoded to trigger the recoding/playing circuits, which play the recoded voice to awake watch people. The system mainly adopts the RDP-18 pyroelectric infrared detecting module, which has full function from signal receiving to output control. The whole device is a module configuration. It has the advantage of frequency stable, work reliable, no debugging, and a remote control distance of 1 000 m, and is suitable for use in many kinds of demands.

[Application of near infrared sensor to the radio control count system].

Using reflective near infrared sensor, radio receiving/transmitting module and four-in-one function mix count integrated circuits, the radio control infrared counter was studied when a product enters the infrared surveillance area, part of the infrared signal will be reflected by the product, received by the photosensitive tube installed parallel with the transmitting tube, and transformed to a similar frequency electric signal, which is amplified by the internal circuits of infrared sensor module. After comparing and processing, a high level signal will be output to start transmitting module. When the receiving device receives the radio control encoded signal, it will demodulate and decode the signal, and send out an encoded pulse. By counting this pulse signal, the statistics of the products can be realized. The whole device is of a module configuration. It has the advantage of simple installing, strong anti-detonation ability, far distance-transmitting, work reliability, precise counting and high luminance digital display. It can be used in heavy industry, light and textile industry, food industry, and farming and animal husbandry, to radio control the count of yield or volume in some facilities or assembly lines.